JP2022067743A - Air conditioning method, program, and air conditioning device - Google Patents

Abstract

To provide a technique for improving hospitality relating to air conditioning control of an accommodation.SOLUTION: An air conditioning system acquires characteristics (nationality, etc.) of a guest from reservation information, and specifies a type of the guest from the characteristics. Types 1 and 3 correspond to characteristics sensitive to cold, and types 2 and 4 correspond to characteristics sensitive to heat. The air conditioning system determines whether or not cooling operation (pre-cooling) of a guest room before check-in is necessary, and determines whether or not heating operation (pre-heating) of the guest room before check-in is necessary, according to the specified type.SELECTED DRAWING: Figure 4

Description

The present disclosure relates to air conditioning control, and more specifically to air conditioning control of guest rooms of accommodation facilities.

Conventionally, various techniques related to centralized control of air conditioning of a plurality of guest rooms in accommodation facilities have been studied. For example, Japanese Patent Application Laid-Open No. 2003-279101 (Patent Document 1) determines whether or not a guest is sleeping based on the amount of light in the guest room, and if it is determined that the guest is sleeping, the set temperature is set to the season. At the same time, the technology for correction is disclosed.

Japanese Unexamined Patent Publication No. 2003-279101

Accommodations are in constant need of technology to improve hospitality in order to improve customer satisfaction.

The present disclosure has been conceived in view of such circumstances, and an object thereof is to provide a technique for improving hospitality regarding air conditioning control of accommodation facilities.

According to certain aspects of the present disclosure, air conditioning control methods performed by a computer controlling an air conditioner are provided. The air-conditioning control method includes the step of acquiring the set time of the guest room from the reservation information of the accommodation facility, the step of acquiring the characteristics of the guest from the reservation information of the accommodation facility, and the step of acquiring the characteristics of the guest from the reservation information of the accommodation facility. Operation content that stores one or more operation contents of the air conditioner based on the step of determining whether or not the temperature is above a given temperature and the determination that the temperature in the cabin is above a given temperature. It has a step to access the database. Each of the one or more operation contents is associated with the characteristics of each of the one or more guests, and defines whether or not the cooling operation is executed before the set time of the guest room. The method is to perform the cooling operation a certain amount of time before the set time, if the operation content associated with the acquired characteristics stipulates that the cooling operation be performed before the set time. Further provided with steps to control the harmonizer.

When the air conditioning control method specifies that the operation content associated with the acquired characteristics does not execute the cooling operation before the set time, a signal instructing the stop of the operation is sent before a certain time before the set time. Further may be provided with a step of transmitting to the air conditioner in the room.

The air conditioning control method may further include a step of generating an operation content database. The steps to generate are to identify the appropriate temperature for each characteristic using a dataset that includes the temperature that the person perceives appropriately and the characteristics of the person, and each according to the appropriate temperature identified for each characteristic. It may include associating the operation content with the characteristic.

The air conditioning control method may further include a step of generating an operation content database. The steps to generate are to identify the appropriate temperature and humidity range for each characteristic and to specify for each characteristic, using a dataset that includes the temperature and humidity that the person perceives appropriately and the characteristics of the person. Appropriately specified for each characteristic, according to the appropriate temperature given, for each characteristic associated with the operation content and for each of the characteristics associated with the operation content that specifies that the cooling operation before the set time is performed. The lower the range of humidity, the lower the temperature may be associated with the set temperature of the cooling operation before the set time. The step of controlling the air conditioner in the guest room may include controlling the air conditioner in the guest room according to the set temperature of the cooling operation before the set time associated with the characteristics of the guest in the guest room.

Correlating the operation content to each characteristic is to associate the operation content that specifies that the cooling operation before the set time is performed with the first characteristic, and the appropriate temperature characteristic is higher than that of the first characteristic. The second characteristic may include associating an operation content that specifies that the cooling operation before the set time is not performed.

The step to generate may include associating a characteristic for which a suitable temperature is not specified with an operation content that specifies that a cooling operation before a set time is to be performed.

According to other aspects of the present disclosure, air conditioning control methods performed by a computer controlling an air conditioner are provided. The air-conditioning control method includes the step of acquiring the set time of the guest room from the reservation information of the accommodation facility, the step of acquiring the characteristics of the guest from the reservation information of the accommodation facility, and the step of acquiring the characteristics of the guest from the reservation information of the accommodation facility. Based on the step of determining whether the temperature is below a specific temperature and the determination that the temperature in the cabin is below a specific temperature, an operation content database that stores one or more operation contents of the air conditioner It has a step to access. Each of the one or more operation contents is associated with the respective characteristics of the one or more guests, and defines whether or not the heating operation is executed before the set time of the guest. The method is to perform the heating operation a certain amount of time before the set time of the room, if the operation content associated with the acquired characteristics stipulates that the heating operation be performed before the set time. Further provided with steps to control the air conditioner of.

The air conditioning control method instructs to stop the operation a certain time before the set time of the guest room when the operation content associated with the acquired characteristic stipulates that the heating operation before the set time is not executed. Further, there may be a step of transmitting the signal to the air conditioner in the guest room.

The air conditioning control method may further include a step of generating an operation content database. The steps to generate are to identify the appropriate temperature for each characteristic using a dataset that includes the temperature that the person perceives appropriately and the characteristics of the person, and each according to the appropriate temperature identified for each characteristic. It may include associating the operation content with the characteristic.

The air conditioning control method may further include a step of generating an operation content database. The steps to generate are to identify the appropriate temperature and humidity range for each characteristic and to specify for each characteristic, using a dataset that includes the temperature and humidity that the person feels appropriate and the characteristics of the person. Appropriately specified for each characteristic, according to the appropriate temperature given, for each characteristic associated with the operation content and for each of the characteristics associated with the operation content that specifies that the heating operation before the set time is performed. The higher the humidity range, the higher the temperature may be associated with the set temperature of the heating operation before the set time. The step of controlling the air conditioner in the guest room may include controlling the air conditioner in the guest room according to the set temperature of the heating operation before the set time associated with the characteristics of the guest in the guest room.

Correlating the operation content to each characteristic is to associate the operation content that specifies that the heating operation before the set time is performed with the first characteristic, and the appropriate temperature characterized is lower than that of the first characteristic. The second characteristic may include associating an operation content that specifies that the heating operation before the set time is not performed.

The step to generate may include associating a characteristic that does not specify a suitable temperature with an operation content that specifies that a heating operation before a set time is to be performed.

The trait may include at least one of the guest's nationality, age, and gender.
According to yet another aspect of the present disclosure, air conditioning control methods performed by a computer controlling an air conditioner are provided. The air-conditioning control method is a step of acquiring the set time of the guest of the guest room from the reservation information of the accommodation facility, a step of acquiring the characteristic regarding the position of the guest room, and the classifier which has learned the acquired characteristic and the temperature in the guest room. By inputting to, according to the step of acquiring the predicted temperature in the cabin at the set time and the comparison result between the predicted temperature in the cabin and the predetermined reference temperature, the air in the cabin is set a certain time before the set time. Control the air conditioner in the cabin to perform the air conditioning operation based on the step of deciding whether or not the air conditioner should perform the air conditioning operation and the decision to have the air conditioner in the cabin perform the air conditioning operation. With steps. The classifier uses teacher data to output the predicted temperature in the cabin at a certain time after a given time when the characteristics of the cabin are entered along with the temperature in the cabin at a given time. The learning process was applied.

The steps to determine are to have the air conditioner in the room perform the cooling operation as an air conditioning operation when the predicted temperature in the room is higher than the predetermined reference temperature for cooling, and in the room. If the predicted temperature of the above is lower than a predetermined reference temperature for heating, it may include at least one of determining that the air conditioner of the guest room performs the heating operation as the air conditioning operation.

The characteristic may include at least one of the floor on which the guest room is located and the location on the horizontal plane within the accommodation facility of the guest room.

The classifier will be used after a certain period of time from a given time if the room characteristics are entered along with the temperature inside the room at a given time as well as the humidity inside the room and the temperature outside the room at a given time. In addition to the predicted temperature in the guest room at the time of, the learning process using the teacher data may be performed so as to output the predicted humidity in the guest room and the predicted temperature outside the guest room. The steps to be determined are, in addition to the comparison result between the predicted temperature in the cabin and the reference temperature, the comparison result between the predicted humidity in the cabin and the predetermined reference humidity, and the predicted temperature outside the cabin and the predetermined temperature. It may include determining whether or not the air conditioner in the cabin is to perform the air conditioning operation according to at least one of the comparison results with the specified temperature.

The air-conditioning control method uses the history of the temperature in the room at a specific time immediately before the room when there is no operation on the air conditioner of the room for a given time after the guest's check-in in the room. The step of calculating the automatically set temperature, which is the set temperature of the above, and the step of controlling the air conditioner according to the automatically set temperature may be further provided.

The air conditioning control method indicates that the guest characteristic of the guest room is hot when the load factor of the outdoor unit of the air conditioner of the guest room exceeds a given value after the guest check-in in the guest room. Sometimes by lowering the set temperature of the heating operation of the air conditioner in the guest room, or by increasing the set temperature of the cooling operation of the air conditioner in the guest room when the characteristics of the guest in the guest room indicate that it is cold. May further include a step of modifying the auto-set temperature so as to reduce the power consumption of the air conditioner in the cabin.

The air-conditioning control method is to stop the air conditioner in the guest room when the guest room temperature is below a certain temperature after the guest check-in in the guest room, and when the guest room guest's characteristics indicate that it is hot. When the guest's characteristics of the guest room do not indicate that it is hot, the guest room may be further provided with a step of operating the air conditioner in the guest room in a predetermined manner. The step may only be performed when the controlled air conditioner is in operation for heating. Also, the step may only be performed when winter control (or non-summer control, such as mid-season) is in place.

According to yet another aspect of the present disclosure, a program is provided that enables a computer to implement the above air conditioning control method.

According to still another aspect of the present disclosure, there is provided an air conditioning control device comprising a processor, a memory containing the program, and the like.

According to one aspect of the present disclosure, the air conditioner in the guest room operates before the set time for the guest room when it is deemed necessary from the characteristics of the guest. As a result, the temperature of the guest room at the set time for the guest room can be brought closer to an appropriate temperature assumed from the characteristics of the guest, and the hospitality regarding the air conditioning control of the accommodation facility can be improved.

According to another aspect of the present disclosure, the air conditioner of the guest room operates before the set time for the guest room when it is deemed necessary according to the characteristics regarding the position of the guest room. As a result, even if the guest room is in a position where it is expected that air conditioning will take time, the temperature of the guest room at the set time for the guest room can be set to a temperature suitable for accommodation, and the hospitality regarding the air conditioning control of the accommodation facility is improved. Can be done.

It is a figure which shows the whole structure of an air conditioning control system. It is a figure which shows the hardware composition of the air-conditioning control device 300. It is a figure which shows the data structure of the reservation information schematically. It is a figure which shows typically the data structure of the operation content database. It is a figure which shows typically the data structure of the guest type classification information. It is a flowchart of an example of the process executed by the air-conditioning control device 300. It is a flowchart of the subroutine of step S606 of FIG. It is a flowchart of the subroutine of step S608 of FIG. It is a flowchart of the subroutine of step S900. It is a figure which shows an example of the contents of a questionnaire. It is a figure which shows an example of a clustering process and a result schematically. It is a figure which shows an example of the questionnaire result about the favorite temperature of the person having a certain characteristic (nationality is country X). It is a figure which shows an example of the questionnaire result about the favorite humidity of the person having a certain characteristic (nationality is country X). It is a figure which shows an example of the graph of the temperature and humidity for specifying the type with respect to the typical value of temperature and humidity of each characteristic. It is a figure which shows an example of the type for each characteristic, which was specified based on the favorite temperature of the person which has each characteristic. It is a figure which shows the process of clustering and other examples of the result schematically. It is a figure which shows an example of the guest type classification information generated based on the result of FIG. FIG. 17 is a diagram showing an example of guest type classification information generated when gender is adopted instead of age as an attribute constituting the characteristic to be considered with respect to the example of FIG. It is a figure which shows an example of the guest type classification information generated when the gender is further considered as a characteristic with respect to the example of FIG. It is a flowchart of the 1st modification of the process of FIG. It is a flowchart of the 2nd modification of the process of FIG. It is a figure which shows an example of the data structure of a room information. It is a flowchart of another example of the process performed by the air conditioning control device 300. It is a figure for demonstrating the generation method and the utilization method of a machine learning model. It is a subroutine of step S236 of FIG. It is a figure for demonstrating the generation method and the utilization method of the modification of the machine learning model. It is a flowchart of the 1st modification of the process of FIG. It is a flowchart of the 2nd modification of the process of FIG.

Hereinafter, an embodiment of the air conditioning control device will be described with reference to the drawings. In the following description, the same parts and components are designated by the same reference numerals. Their names and functions are the same. Therefore, these explanations will not be repeated.

[1. Air conditioning control system configuration]
With reference to FIG. 1, an example of the overall configuration of the air conditioning control system including the air conditioning control device of the present disclosure will be described. FIG. 1 is a diagram showing an overall configuration of an air conditioning control system.

The air conditioning control system 1 controls the operation of each of two or more air conditioners in an accommodation facility such as a hotel. Accommodation includes two or more guest rooms 500. Each of the two or more guest rooms 500 has an indoor unit 510 of an air conditioner, a controller 520 for inputting an operation instruction to the indoor unit 510, and a sensor 530 for detecting the temperature and humidity in the guest room 500. is set up. The sensor 530 may be integrally configured with the indoor unit 510. In the present specification, the temperature in the guest room 500 may be referred to as "indoor temperature", and the humidity in the guest room 500 may be referred to as "indoor humidity".

The air conditioning control system 1 includes a sensor 400 for detecting the temperature and humidity outside the guest room 500. In the present specification, the temperature outside the guest room 500 may be referred to as “outdoor temperature”.

The accommodation further includes an outdoor unit 700 of an air conditioner. One outdoor unit 700 may operate one indoor unit 510, or may operate two or more indoor units 510.

The air conditioning control system 1 includes a reservation information management device 100, a central management device 200, and an air conditioning control device 300. The reservation information management device 100 stores reservation information of accommodation facilities. The reservation information management device 100 is realized by, for example, a general-purpose computer. The reservation information may be registered in the reservation information management device 100 from an external information processing device via the network 900, or the reservation information may be registered by operating the input device of the reservation information management device 100. good.

The central management device 200 is connected to each of the one or more indoor units 510, and transmits a signal for controlling the operation to each of the one or more indoor units 510. The indoor unit 510 controls the operation of the indoor unit 510 according to the signal from the central management device 200, and also controls the operation of the outdoor unit 700 that operates the indoor unit 510. Therefore, the air conditioner composed of the indoor unit 510 and the outdoor unit 700 can be controlled according to the signal transmitted to the indoor unit 510.

The indoor unit 510 may preferentially use the signal from the controller 520 over the signal from the central management device 200 in the operation of the indoor unit 510. That is, even if the indoor unit 510 receives a certain instruction from the central management device 200, if an instruction contradictory to the instruction is input to the controller 520 installed in the same room as the indoor unit 510, the controller It may operate according to the instruction input to 520. For example, the indoor unit 510 may stop the operation of the indoor unit 510 when the instruction to stop the operation is input to the controller 520 even if the instruction for cooling is received from the central management device 200.

The air conditioning control device 300 controls the operation of each of the two or more indoor units 510 via the central management device 200. The air conditioning control device 300 may utilize the temperature and humidity detected by the sensor 530 and the sensor 400 to control the operation of the indoor unit 510.

[2. Hardware configuration of air conditioning control device]
An example of the configuration of the air conditioning control device 300 will be described with reference to FIG. FIG. 2 is a diagram showing a hardware configuration of the air conditioning control device 300.

The air conditioning control device 300 is realized by, for example, a general-purpose computer. The air conditioning control device 300 includes a processor 301, a ROM (Read Only Memory) 302, a RAM (Random Access Memory) 303, an HDD (hard disk drive) 304, a communication interface (IF) 305, an input device 306, and an output. Includes device 307.

The processor 301 controls the operation of the air conditioning control device 300 by executing a given program. The ROM 302 stores a program executed by the processor 301. The RAM 303 functions as a work area for execution by the processor 301. The HDD 304 stores a program (program 310) executed by the processor 301 and data used for executing the program. The program 310 executed by the processor 301 may be stored in a recording medium (for example, a USB (Universal Serial Bus) memory) that can be attached to and detached from the main body of the air conditioning control device 300.

The communication IF 305 causes the air conditioning control device 300, which is realized by a network card, for example, to communicate with other devices. The input device 306 is realized by, for example, a keyboard and / or a mouse, and receives input of information to the air conditioning control device 300. The output device 307 is realized by, for example, a display and / or a speaker, displays an image of information output from the air conditioning control device 300, and / or outputs audio.

[3. Reservation information data structure example]
Next, with reference to FIG. 3, an example of the data structure of the reservation information stored in the reservation information management device 100 will be described. The booking information includes data regarding the booking of accommodation at the property. FIG. 3 is a diagram schematically showing a data structure of reservation information.

As shown in FIG. 3, in the reservation information, the room number, name, nationality, age, gender, check-in date, scheduled check-in time, and check-out date data are associated with each other for each line. There is.

The room number identifies each guest room 500 of the accommodation. Each of the name, nationality, age, and gender represents the name, nationality, age, and gender of the guest in each room 500.

Nationality, age, and gender are examples of guest characteristics. In the present embodiment, the characteristics of the guest are matters that are expected to affect the taste of the guest, and can be specified by at least one type of attribute relating to the guest. In one example, a guest's characteristics include at least one of the guest's nationality, age, and gender.

Each of the check-in date and the scheduled check-in time represents the check-in date of the guest and the time when the guest plans to check-in to the accommodation on that day. The check-out date represents the date on which the guest plans to check out.

The scheduled check-in time (and check-in date) is the target time (ie, an example of a "set time" for the room) that completes some adjustment of the room temperature. The set time is not limited to the scheduled check-in time as long as it is the time set for the guest room, and may be the check-in possible time set by the accommodation facility, or set by anyone else. It may be any time that can be done.

For example, in the example of FIG. 3, room number 1201 is associated with a guest having the name Ichiro Suzuki. The nationality of the guest is "Country A", the age is 37 years old, and the gender is male. In addition, the guest is scheduled to stay from August 1, 2020 (check-in date) to August 2, 2020 (check-out date), and the scheduled check-in time on the check-in date is 15:00. 30 minutes are registered.

[4. Operation details Database data structure example]
Next, with reference to FIG. 4, an example of the data structure of the operation content database used by the air conditioning control device 300 to control the operation of the indoor unit 510 will be described. FIG. 4 is a diagram schematically showing the data structure of the operation content database. The operation content database is stored in, for example, the HDD 304 of the air conditioning control device 300.

The operation content database associates the operation content of the indoor unit 510 (pre-cooling, preheating, after entering the room (summer), and after entering the room (winter)) with each of the five types of types 1 to 5.

Each of types 1 to 5 represents the type of guest. In one implementation, types 2 and 4 correspond to the characteristics of hot guests, and types 1 and 3 correspond to the characteristics of cold guests. Each of the types 2 and 3 corresponds to the guest's characteristics that the humidity felt comfortable is lower than that of the types 1 and 4 respectively.

Each of "pre-cooling" and "preheating" in the operation content means the cooling operation and the heating operation before check-in. As the respective values of "pre-cooling" and "preheating" in the operation content database, information for specifying whether or not each operation is performed and information indicating the set temperature for each operation are registered.

For example, “not” precooling of type 1 means that the indoor unit 510 installed in the guest room 500 in which the guest of type 1 stays is not allowed to perform the cooling operation before the guest's check-in. In the type 1 preheating "to (23 ° C.)", the indoor unit 510 installed in the guest room 500 where the type 1 guest stays is made to perform the heating operation before the guest's check-in, and the heating is performed. It means that 23 ° C. is specified as the set temperature in operation.

Further, in the type 2 pre-cooling "to (16 ° C.)", the indoor unit 510 installed in the guest room 500 where the type 2 guest stays is made to execute the cooling operation before the guest's check-in, and the cooling operation is performed. It means that 16 ° C. is specified as the set temperature in operation. Type 2 preheating "does not" means that the indoor unit 510 installed in the guest room 500 where the type 2 guest stays is not allowed to perform the heating operation before the guest's check-in.

"After entering the room (summer)" and "after entering the room (winter)" in the operation contents represent the operation contents of the indoor unit 510 after the guest's check-in. In the air conditioning control device 300, whether the control of the day is for summer or winter is specified by input from a user (for example, the manager of the accommodation facility) or according to predetermined calendar information. "After entering the room (summer)" represents the operation content in the control for summer, and "after entering the room (winter)" represents the operation content in the control for winter.

For example, in "cooling (28 ° C.)" after entering the room of type 1 (summer), the indoor unit 510 installed in the guest room 500 where the guest of type 1 stays is made to perform the cooling operation, and the cooling operation is performed. It means that 28 ° C. is set as the set temperature of. For "heating (22 ° C.)" after entering the room of type 1 (winter), the indoor unit 510 installed in the guest room 500 where the guest of type 1 stays is made to execute the heating operation, and the setting of the heating operation is performed. It means that 22 ° C. is specified as the temperature.

[5. Guest type classification information]
Next, an example of the data structure of the guest type classification information will be described with reference to FIG. FIG. 5 is a diagram schematically showing a data structure of guest type classification information.

As shown in FIG. 5, the guest type classification information associates the guest characteristics with each of the types 1 to 5. In the example of FIG. 5, the nationality of the guest is shown as a characteristic of the guest. For example, type 1 is associated with nationality "Country A". As a result, guests whose nationality is Country A are classified as Type 1.

[6. Control according to guest characteristics]
Next, a process executed by the air conditioning control device 300 to control the operation of the air conditioner of each guest room according to the characteristics of the guest in the guest room will be described. FIG. 6 is a flowchart of an example of the process executed by the air conditioning control device 300. The air conditioning control device 300 realizes the process of FIG. 6, for example, by the processor 301 executing a given program.

With reference to FIG. 6, in step S600, the air conditioning control device 300 generates guest type classification information (FIG. 5). The guest type classification information may be generated by the manager of the accommodation facility inputting the classification of the guest characteristics set by the manager into the air conditioning control device 300, or the classification by clustering or the like described later. It may be generated based on.

The control after step S602 is executed every time a new guest is directed to the guest room 500. Further, the control after step S602 is executed for each guest room 500.

In step S602, the air conditioning control device 300 accesses the reservation information management device 100 and reads out the scheduled check-in time associated with each room 500 from the reservation information (FIG. 3).

The control after step S604 is executed for each guest room 500. In step S604, the air conditioning control device 300 determines whether or not the time 60 minutes before the scheduled check-in time has arrived for each guest room 500. If there is a guest room 500 whose time is 60 minutes before the scheduled check-in time (YES in step S604), the air conditioning control device 300 proceeds to control the guest room 500 to step S606. For the guest room 500 in which the time 60 minutes before the scheduled check-in time has not arrived (NO in step S604), the control in step S604 is repeated until the time 60 minutes before the scheduled check-in time arrives.

In step S606, the air conditioning control device 300 executes control (pre-cooling / preheating) for pre-cooling and preheating of the guest room 500. The content of this control will be described later with reference to FIG. 7.

After the control in step S606, in step S608, the air conditioning control device 300 executes control (comfortable air conditioning) for automatically controlling the temperature of the guest room 500 in a mode assumed to be air conditioning. The content of this control will be described later with reference to FIGS. 8 and 9. After step S608, the air conditioning control device 300 ends the process of FIG.

In one implementation example, the air conditioning control device 300 executes the control of step S600 only at the start of use in the air conditioning control system 1 of the air conditioning control device 300. The air conditioning control device 300 may execute step S600 again periodically (for example, once a year) or when an instruction is input from the administrator of the air conditioning control system 1. As a result, the guest type classification information can be updated.

<1> Precooling / Preheating With reference to FIG. 7, the content of the control in step S606 of FIG. 6 will be described. FIG. 7 is a flowchart of the subroutine of step S606 of FIG.

In step S700, the air conditioning control device 300 reads out the characteristics of the guest associated with the guest room 500 to be controlled from the reservation information. The air conditioning control device 300 reads out the nationality of the guest as an example of the characteristics. When a plurality of guests are associated with the controlled guest room 500, the air conditioning control device 300 may read out the nationality of the representative among the plurality of guests.

In step S702, the air conditioning control device 300 identifies the type of guest associated with the controlled room 500. The air-conditioning control device 300 may specify the type of guest associated with the guest room 500 by reading out the type associated with the characteristics of the guest read out in step S700 from the guest type classification information. In the example of FIG. 5, the guest type classification information associates the nationality "Country A" with the type "1". In this example, when the nationality of the guest is "Country A", "1" is specified as the type of guest.

In step S704, the air conditioning control device 300 determines whether or not the room temperature of the guest room 500 is 28 ° C. or higher based on, for example, the detection output of the sensor 530. If the air conditioning control device 300 determines that the room temperature of the guest room 500 is 28 ° C. or higher (YES in step S704), the control proceeds to step S706, otherwise (NO in step S704), the process proceeds to step S710. Advance control.

In step S706, the air conditioning control device 300 accesses the operation content database (FIG. 4) and determines whether or not the precooling setting of the guest type specified in step S702 is "Yes".

In FIG. 4, the precooling setting of type "1" is "not". Therefore, for example, when "1" is specified as the guest type as described above, the air conditioning control device 300 determines that the precooling setting of the guest type is not "Yes".

If the air conditioning control device 300 determines that the precooling setting is "Yes" (YES in step S706), the control proceeds to step S708, and if not, the control proceeds to step S716.

In step S708, the air conditioning control device 300 gives an instruction to execute a cooling operation toward the indoor unit 510 (hereinafter, also referred to as “controlled indoor unit 510”) installed in the controlled room 500. (Pre-cooling operation signal) is transmitted. To transmit a signal to the indoor unit 510, the air conditioning control device 300 may directly communicate with the indoor unit 510 and transmit the signal to the indoor unit 510, or the air conditioning control device 300 may transmit the signal to the indoor unit 510. The signal may be transmitted to the indoor unit 510 via another device such as the central management device 200. Upon receiving the cooling operation execution instruction from the air conditioning control device 300 or the central management device 200, the indoor unit 510 executes the cooling operation. After that, the air conditioning control device 300 advances the control to step S716.

As shown in FIG. 4, in the operation content database, in addition to the pre-cooling setting "do", the set temperature in the cooling operation may be registered. The air conditioning control device 300 may include the set temperature in the cooling operation in the precooling operation signal transmitted in step S708. In response to this, the indoor unit 510 executes a cooling operation for setting the temperature of the guest room 500 to the set temperature.

For example, in FIG. 4, the precooling of type "2" includes the set temperature "16 ° C." in addition to the setting "do". In this case, when the type of guest associated with the guest room 500 to be controlled is "2", the air conditioning control device 300 sets the set temperature "16 ° C." to the precooling operation signal transmitted to the indoor unit 510. May be included.

In step S710, the air conditioning control device 300 determines whether or not the indoor temperature of the guest room 500 to be controlled is 20 ° C. or lower based on, for example, the detection output of the sensor 530. If the air conditioning control device 300 determines that the room temperature of the guest room 500 to be controlled is 20 ° C. or lower (YES in step S710), the control proceeds to step S712, otherwise (NO in step S710). Control proceeds to step S716.

In step S712, the air conditioning control device 300 accesses the operation content database (FIG. 4) and determines whether or not the preheating setting of the guest type specified in step S702 is "Yes". If the air conditioning control device 300 determines that the preheating setting is "Yes" (YES in step S712), the control proceeds to step S714, and if not (NO in step S712), the control is performed to step S716. Proceed.

In step S714, the air conditioning control device 300 transmits an instruction (preheating operation signal) for executing the heating operation to the indoor unit 510 to be controlled. Upon receiving the heating operation execution instruction from the air conditioning control device 300 or the central management device 200, the indoor unit 510 executes the heating operation. After that, the air conditioning control device 300 advances the control to step S716.

As shown in FIG. 4, in the operation content database, the set temperature in the heating operation may be registered in addition to the setting of the preheating. The air conditioning control device 300 may include the set temperature in the heating operation in the preheating operation signal transmitted in step S714. In response to this, the indoor unit 510 may perform a heating operation for setting the temperature of the guest room 500 to the set temperature.

In step S716, the air conditioning control device 300 determines whether or not the guest has checked in to the controlled room 500 by accessing the computer that manages the check-in and check-out of the guest at the accommodation facility. .. In one implementation, the computer is operated, for example, by an employee of an accommodation facility. When the employee accepts the guest's check-in, the employee registers the guest's check-in on the above computer. The computer may be operated by the guest, and the guest may register check-in with the computer when he / she arrives at the accommodation facility.

The air conditioning control device 300 repeats the control of step S716 until it is determined that the guest has checked in to the controlled guest room 500 (NO in step S716), and determines that the guest has checked in to the controlled guest room 500. Then (YES in step S716), the control proceeds to step S718.

In step S718, the air conditioning control device 300 transmits a signal (release signal) for releasing the precooling or preheating to the indoor unit 510 to be controlled. After that, the air conditioning control device 300 returns the control to FIG.

Upon receiving the release signal, the indoor unit 510 is controlled so as to be able to receive an instruction from the controller 520 while continuing the operation up to that point. That is, the indoor unit 510 gives priority to the instruction input by the guest who entered the guest room 500 by operating the controller 520 over the precooling operation signal or the preheating operation signal.

According to the process described with reference to FIG. 7, the temperature of the guest room at the scheduled check-in time can be controlled according to the characteristics of the guest by controlling the temperature of the guest room before check-in. As a result, when the guest enters the guest room for the first time, the guest room may be provided with a room controlled to an appropriate temperature. The impression at the time of entering the room for the first time can be said to be the first impression of the guest room, which can greatly contribute to the overall impression of the guest room. The air-conditioning control system 1 can greatly contribute to improving the impression of the guest's guest room by controlling the temperature of the guest room before check-in.

In the process described with reference to FIG. 7, when the guest type is type 2, 4, or 5, the air conditioning control device 300 is installed in the indoor unit 510 in the guest room 500 before the guest's check-in. Perform the cooling operation. Types 2 and 4 correspond to the characteristics of hot guests, and Type 5 does not correspond to both hot and cold. That is, if the guest's characteristics correspond to the heat or are not associated with the heat or the cold, the pre-check-in cooling operation is performed.

The set temperature in the cooling operation is the lowest in type 2, followed by type 4. That is, the lower the humidity that feels comfortable, the lower the temperature can be adopted as the set temperature in the cooling operation. The set temperature in the cooling operation may be constant regardless of the type of guest.

On the other hand, when the guest type is 1 or 3, the air conditioning control device 300 does not cause the indoor unit 510 to perform the cooling operation in the guest room 500 before the guest's check-in.

Further, when the guest type is type 1, 3, or 5, the air conditioning control device 300 causes the indoor unit 510 to perform a heating operation in the guest room 500 before the guest's check-in. Types 1 and 3 correspond to the characteristics of cold guests, and Type 5 does not correspond to both hot and cold weather. That is, the pre-check-in heating operation is performed when the guest's characteristics correspond to the cold or are not associated with the heat or the cold.

The set temperature in the heating operation is highest in type 1 and then in type 3. That is, the higher the humidity felt comfortably, the higher the temperature can be adopted as the set temperature in the heating operation. The set temperature in the heating operation may be constant regardless of the type of guest.

<2> Comfortable air conditioning With reference to FIG. 8, the content of control in step S608 of FIG. 6 will be described. FIG. 8 is a flowchart of the subroutine of step S608 of FIG. The process of FIG. 8 may be started in response to the guest associated with each room 500 checking in.

In step S800, whether or not the air conditioning control device 300 satisfies the condition that "the outdoor temperature is 18 ° C. or lower and the type of guest associated with the controlled room 500 is 2 or 4". To judge. If the air conditioning control device 300 determines that the condition is satisfied (YES in step S800), the control proceeds to step S804, and if not (NO in step S800), the control proceeds to step S900.

In step S804, the air conditioning control device 300 transmits an operation stop signal to the indoor unit 510 to be controlled. The operation stop signal is a signal instructing to stop the operation of cooling and heating. Upon receiving the operation stop signal, the indoor unit 510 stops the cooling and heating operations. After that, the air conditioning control device 300 advances the control to step S806.

In step S804, the air conditioning control device 300 stops the operation of the indoor unit 510 only when the indoor unit 510 to be controlled is in the heating operation, and when the indoor unit 510 is in the cooling operation, the air conditioning control device 300 stops the operation of the indoor unit 510. It is not necessary to stop the operation.

Further, even if the air conditioning control device 300 executes the determination in step S800 and the control in step S804 only when the control for winter (or the control other than for summer such as the intermediate period) is executed. good.

In step S900, the air conditioning control device 300 generates an optimum operation signal. The optimum operation signal is a signal for operating the indoor unit 510 in a mode assumed to be optimal for the guest. The generation of the optimum operation signal will be described later with reference to FIG. After that, the air conditioning control device 300 advances the control to step S802.

In step S802, the air conditioning control device 300 transmits the optimum operation signal generated in step S900 toward the indoor unit 510 to be controlled. After that, the air conditioning control device 300 advances the control to step S806.

In step S806, the air conditioning control device 300 determines whether or not the controller 520 of the indoor unit 510 to be controlled has been operated. If the air conditioning control device 300 determines that the operation has been performed (YES in step S806), the control proceeds to step S808, and if not (NO in step S806), the control returns to step S800.

In step S808, the air conditioning control device 300 transmits an optimum operation release signal to the indoor unit 510 to be controlled. The optimum operation release signal is a signal instructing the indoor unit 510 to operate according to the operation with respect to the controller 520. Upon receiving the optimum operation release signal, the indoor unit 510 operates according to the operation for the controller 520.

In step S810, the air conditioning control device 300 determines whether or not 60 minutes have passed since the last operation on the controller 520 was performed. The air conditioning control device 300 repeats the determination in step S810 until it is determined that 60 minutes have elapsed since the last operation on the controller 520 was performed (NO in step S810).

For example, the air conditioning control device 300 starts timing the timer for 60 minutes when the operation to the controller 520 is performed. When a new operation is performed on the controller 520, the air conditioning control device 300 resets the timer count and starts counting the timer again from the beginning. When the 60-minute count of the timer is completed, the air-conditioning control device 300 determines that 60 minutes have passed since the last operation.

When the air conditioning control device 300 determines that 60 minutes have passed since the last operation on the controller 520 (YES in step S810), the air conditioning control device 300 proceeds to control to step S900.

In step S900, the air conditioning control device 300 generates an optimum operation signal. The optimum operation signal is a signal for operating the indoor unit 510 in a mode assumed to be optimal for the guest. The generation of the optimum operation signal will be described later with reference to FIG. After that, the air conditioning control device 300 advances the control to step S812.

In step S812, the air conditioning control device 300 transmits the optimum operation signal generated in step S900 toward the indoor unit 510 to be controlled.

In step S814, the air conditioning control device 300 determines whether or not the controller 520 of the indoor unit 510 to be controlled has been operated. If the air conditioning control device 300 determines that the operation has been performed (YES in step S814), the control returns to step S808, and if not (NO in step S814), the control returns to step S900.

The air-conditioning control device 300 may determine whether or not the checked-out of the controlled room 500 has been performed by periodically accessing the computer that manages the check-in and check-out of the guest at the accommodation facility. .. The air conditioning control device 300 continues the process of FIG. 8 until the guest room 500 to be controlled is checked out. When the checkout is performed, the air conditioning control device 300 returns the control to FIG. 6 and ends the process of FIG.

Next, the control of step S900 (generation of the optimum operation signal) will be described. FIG. 9 is a flowchart of the subroutine in step S900.

With reference to FIG. 9, the air conditioning control device 300 reads out the reference set temperature (Tb) for the guest room 500 to be controlled in step S902. The reference set temperature (Tb) for the controlled room 500 is set for each type of guest associated with the controlled room 500. More specifically, the reference set temperature (Tb) is a temperature set in each type of "after entering the room (summer)" or "after entering the room (winter)" in the operation content database (FIG. 4).

In the air-conditioning control system 1, whether the control of the air-conditioning control device 300 for each day is for summer or winter is specified by the manager of the accommodation facility or the like. Information specifying that it is for summer or winter is stored in, for example, HDD 304. In step S902, the air conditioning control device 300 sets the set temperature included in "after entering the room (summer)" when the information stored in the HDD 304 is specified for summer, and the information stored in the HDD 304 is used for winter. If is specified, the set temperature included in "after entering the room (winter)" may be read out.

For example, in FIG. 4, 28 ° C. is set as the set temperature of type 1 “after entering the room (summer)”. Therefore, the air-conditioning control device 300 reads out "28 ° C." as the reference set temperature Tb of the guest room 500 of the type 1 guest on the day when the control for winter is performed.

In step S904, the air conditioning control device 300 calculates the average value (Ta) of the temperature of the guest room 500 to be controlled in the immediately preceding 2 hours. The air conditioning control device 300 may calculate the average value Ta based on the temperature detected by the sensor 530 and the length of time during which the temperature is detected. For example, in the last 2 hours (120 minutes), when the temperature for 60 minutes is 26 ° C and the temperature for 60 minutes is 28 ° C, the calculation result of the average value Ta is according to the following equation (1). It may be 27 ° C.

26 ° C x (60/120) + 28 ° C x (60/120) = 27 ° C ... (1)
Further, when the temperature for 30 minutes is 26 ° C. and the temperature for 90 minutes is 28 ° C. in the immediately preceding 2 hours (120 minutes), the calculation result of the average value Ta is according to the following equation (2). It may be 27.5 ° C.

26 ° C x (30/120) + 28 ° C x (90/120) = 27.5 ° C ... (2)
In step S906, the air conditioning control device 300 calculates a new set temperature (Ts) according to the following equation (3). In the formula (3), the reference set temperature Tb is the reference set temperature read out in step S902, and the average value Ta is the average value calculated in step S904.

Ts = Ta + 0.5 (Tb-Ta) ... (3)
For example, assume that the indoor unit 510 to be controlled is associated with a type 3 guest. According to FIG. 4, for Type 3, the reference set temperature Tb for summer is 26 ° C. When the control for summer is executed, for example, if the average value Ta is 25 ° C., the new set temperature Ts is calculated as 25.5 ° C. as shown in the following equation (3A).

Ts = 25 + 0.5 (26-25) ... (3A)
Further, according to FIG. 4, for Type 3, the reference set temperature Tb for winter is 21 ° C. When the winter control is executed, for example, if the average value Ta is 23 ° C., the new set temperature Ts is calculated as 22 ° C. as shown in the following equation (3B).

Ts = 23 + 0.5 (21-23) ... (3B)
Next, in step S908, the air conditioning control device 300 determines whether or not the load factor La of the outdoor unit 700 that operates the indoor unit 510 to be controlled exceeds a predetermined value Lx. The air conditioning control device 300 calculates the load factor La of the outdoor unit 700 by, for example, dividing the current value measured by the outdoor unit 700 by the rated current value of the outdoor unit 700.

If the air conditioning control device 300 determines that the load factor La exceeds the value Lx (YES in step S908), the control proceeds to step S910, and if not (NO in step S908), the control proceeds to step S918. ..

In step S918, the air conditioning control device 300 generates an optimum control signal by using the new set temperature Ts calculated in step S906. As a result, when the indoor unit 510 operates according to the optimum control signal, the indoor unit 510 executes a cooling operation or a heating operation with the goal of setting the temperature of the guest room 500 to the set temperature calculated in step S906. After that, the air conditioning control device 300 returns the control to FIG.

In step S910, the air-conditioning control device 300 states, "The operation of the indoor unit 510 to be controlled after entering the room set in FIG. 4 is" heating ", and the guest is associated with the guest room 500 to be controlled. It is determined whether or not the condition that "the type of is 2 or 4" is satisfied. A guest type of 2 or 4 is an example of indicating that the guest is hot.

In the example of FIG. 4, "after entering the room (summer)" defines the cooling operation for all types, and "after entering the room (winter)" defines the heating operation for all types. Therefore, the air-conditioning control device 300 determines that the above condition is satisfied if the control on the day is for winter and the type of guest associated with the controlled room 500 is 2 or 4. If the air conditioning control device 300 determines that the above conditions are satisfied (YES in step S910), the control proceeds to step S912, and if not (NO in step S910), the control proceeds to step S914.

In step S912, the air conditioning control device 300 corrects the set temperature Ts calculated in step S906 by subtracting X (positive value), and generates an optimum operation signal using the corrected set temperature Ts. do. That is, in step S912, the set temperature Ts used for generating the optimum operation signal is updated to a temperature lower by X. After that, the control is returned to FIG. The value of X can be appropriately set in the air conditioning control system 1.

In step S914, the air-conditioning control device 300 is described as "a guest whose operation after entering the indoor unit 510 to be controlled set in FIG. 4 is" cooling "and is associated with the guest room 500 to be controlled. It is determined whether or not the condition that "the type of is 1 or 3" is satisfied. A guest type of 1 or 3 is an example of indicating that the guest is cold, and an example of not indicating that the guest is hot. If the air conditioning control device 300 determines that the above conditions are satisfied (YES in step S914), the control proceeds to step S916, and if not (NO in step S914), the control proceeds to step S918.

In step S916, the air conditioning control device 300 corrects the set temperature Ts calculated in step S906 by adding Y (positive value), and uses the corrected set temperature Ts to obtain an optimum operation signal. Generate. That is, in step S916, the set temperature Ts used for generating the optimum operation signal is updated to a temperature higher by Y. After that, the control is returned to FIG. The value of Y can be appropriately set in the air conditioning control system 1.

In the process described with reference to FIGS. 8 and 9, the air conditioner of each guest room is automatically operated by transmitting the optimum operation signal to the air conditioner of each guest room in step S802. However, if the outdoor temperature is 18 ° C. or lower and the guest associated with the controlled guest room is classified into type 2 or 4, the air conditioning control device 300 stops operating at the indoor unit 510 of the guest room. Let me. Guests classified as Type 2 or 4 are expected to be hot. Hot guests may not need heating, even on slightly chilly days. The air conditioning control device 300 avoids the automatic operation of the air conditioner in the guest room of a hot guest even on a slightly chilly day. As a result, unnecessary automatic operation of the air conditioner can be suppressed.

Further, if there is no operation on the controller 520 continuously for 60 minutes (YES in step S810), the optimum operation signal is transmitted to the indoor unit 510 to be controlled. The optimum operation signal is a signal for operating the indoor unit 510 to be controlled according to the set temperature Ts. As described with reference to FIG. 9, the set temperature Ts is calculated by using the average value Ta for 2 hours immediately before the room temperature of the guest room 500 to be controlled. "60 minutes" is an example of "given time", "2 hours" is an example of "specific time", and "average value Ta" is an example of "history of room temperature". The "given time" may be the same length of time as the "specific time" or may be longer than the "specific time". As a result, the temperature of the guest room can be automatically controlled at a set temperature according to the history of the temperature of the guest room when there is no instruction to the controller 520 for a relatively long time such as when the guest is sleeping.

The air conditioning control device 300 can appropriately modify the set temperature Ts. More specifically, when the load factor La of the outdoor unit 700 exceeds a predetermined value Lx, the air conditioning control device 300 sets the set temperature Ts of the heating operation for the hot guest (types 2 and 4). Correct the temperature so that it is X lower than the value calculated according to the history of the room temperature. As a result, the air-conditioning control device 300 reduces the amount of electric power required for the heating operation of the guest room whose set temperature has been corrected, thereby suppressing an increase in the load on the outdoor unit 700 as much as possible. Further, in the above case, the air-conditioning control device 300 corrects the set temperature Ts of the cooling operation for the cold guest so as to be Y higher than the value calculated according to the history of the room temperature. As a result, the increase in the load on the outdoor unit 700 is suppressed as much as possible.

[7. Generation of guest type classification information]
Next, a specific example of the method of generating the guest type classification information will be described.

<1> Clustering of Questionnaire Results In the first specific example, guest type classification information is generated using the results of a questionnaire regarding comfort regarding air conditioning in guest rooms conducted for a plurality of people. More specifically, the air conditioning control device 300 seeks a characteristic that can classify an appropriate temperature range and an appropriate humidity range into other characteristics by clustering the results of such a questionnaire. Then, the air conditioning control device 300 associates any of the types 1 to 4 with each of the characteristics whose appropriate temperature range and humidity range can be classified with respect to other characteristics.

FIG. 10 is a diagram showing an example of the contents of the questionnaire. The questionnaire 1000 in FIG. 10 includes a column for entering the names of the respondents to the questionnaire, together with the message "Please fill in the following three items regarding the comfort of air conditioning in the room during your stay." The air conditioning control device 300 acquires the characteristics associated with the respondent's name by accessing a database that associates the name with the characteristics (eg, nationality, age, and / or gender) as in the reservation information (FIG. 3). You may. Then, the air conditioning control device 300 may perform clustering of the results by associating the acquired characteristics with the response results of the questionnaire. Information such as a room number may be acquired instead of the name. In addition, the characteristics of the respondents may be described on the questionnaire itself. As a result, the air conditioning control device 300 can acquire the characteristics of the respondent from the questionnaire.

The questionnaire 1000 of FIG. 10 includes a portion ([1] temperature) for entering a temperature preference. This part includes columns of "cold", "cool", "slightly cool", "neither", "slightly warm", "warm" and "hot" for temperature. The numerical value "0" is attached to "neither can be said". Each of "cold", "cool", "slightly cool", "slightly warm", "warm" and "hot" is a numerical value for answering how low or high the temperature is felt (-3, -2, -1, +1, +2, and +3) are attached.

The questionnaire 1000 includes a part ([2] humidity) for entering the humidity preference. Regarding the humidity, the humidity is "very dry", "dry", "slightly dry", "neither", "slightly moist", "wet", and "very moist". Includes the column. The numerical value "0" is attached to "neither can be said". How low or high the humidity is for each of "very dry", "dry", "slightly dry", "slightly moist", "wet" and "very moist". Numerical values (-3, -2, -1, +1, +2, and +3) are attached to answer whether you feel it.

The questionnaire 1000 includes a part ([3] comfort level) in which a comprehensive impression of comfort is entered. The relevant part includes columns of "very uncomfortable", "unpleasant", "somewhat unpleasant", "neither", "somewhat comfortable", "comfortable", and "very comfortable". The numerical value "0" is attached to "neither can be said". For each of "very uncomfortable", "unpleasant", "somewhat uncomfortable", "somewhat comfortable", "comfortable" and "very comfortable", the numerical values for answering how low or high the air conditioning in the room is felt ( -3, -2, -1, +1, +2, and +3) are attached.

Respondents respond by filling in a circle around the value corresponding to each person's preference on the questionnaire 1000 in a space where temperature and humidity are controlled. In the example of FIG. 10, the value “0” for temperature, the value “-2” for humidity, and the value “0” for comfort are circled.

In one implementation example, the air conditioning control device 300 may use only the answer result in which the respective numerical values of temperature and humidity are "0" in the clustering. In this case, each of the data used for clustering includes the temperature and humidity of the environment at the time of response and the characteristics of the respondent.

Instead of temperature and / or humidity numbers, comfort results may be used. That is, the air conditioning control device 300 may use the answer result in which the numerical value of the comfort degree is "0" as the answer result in which the numerical value of the temperature and / or the humidity is "0".

In another implementation example, in the clustering, the air conditioning control device 300 uses the answer results of the numerical values "-1" to "-3" and "+1" to "+3" in addition to the answer results of the numerical value "0". You may. In one example, the data used for clustering is the temperature of the environment at the time of response for each of the response results "-1", "-2", "-3", "+1", "+2", and "+3". On the other hand, it may have a value to which corrections of "-1 ° C", "-2 ° C", "-3 ° C", "+ 1 ° C", "+ 2 ° C" and "+ 3 ° C" are added. In addition, the data used for clustering is for the humidity, for each of the answer results "-1", "-2", "-3", "+1", "+2", and "+3", and for the humidity of the environment at the time of answer. It may have a value to which corrections of "-5%", "-10%", "-15%", "+ 5%", "+ 10%", and "+ 15%" are added.

FIG. 11 is a diagram schematically showing an example of a clustering process and a result. In the example of FIG. 11, four characteristics are classified by clustering.

In the example shown in FIG. 11, the air conditioning control device 300 realizes the machine learning model 1100 by executing a program according to a given algorithm (for example, k-means method). In the example of FIG. 11, data tagged with the characteristics (nationality) of the person as well as the preferred temperature and humidity identified from the results of the questionnaire responses are applied to the machine learning model 1100. The machine learning model 1100 classifies each of the four types of characteristics as the four regions shown by the regions 1111 to 1114 in the graph 1110 by clustering.

In graph 1110, the vertical axis represents absolute humidity, the horizontal axis represents dry-bulb temperature, and a psychrometric chart is shown for reference. In the psychrometric chart of Graph 1110, region 1111 is located in the upper right (hot and humid) and corresponds to the characteristic "Country A". That is, the range of temperature and humidity in which a person having the characteristic "Country A" (a person whose nationality is "Country A") answered "just right" is located within the region 1111. Region 1112 is located in the lower left (low temperature drying) and corresponds to the characteristic "Country X". Region 1113 is located in the lower right (high temperature drying) and corresponds to the characteristic "Country Y". Region 1114 is located in the upper left (low temperature and high humidity) and corresponds to the characteristic "Country B".

The air conditioning controller 300 associates the characteristic that the appropriate temperature and humidity range is hot and humid with respect to other characteristics (ie, the characteristic corresponding to region 1111) to type 1. The air conditioning control device 300 also associates type 2 with a characteristic in which the appropriate temperature and humidity range is cold dry relative to other characteristics (ie, the characteristic corresponding to region 1112). The air conditioning control device 300 also associates the characteristic that the appropriate temperature and humidity range is high temperature drying with respect to other characteristics (ie, the characteristic corresponding to region 1113) to type 3. The air conditioning control device 300 also associates the characteristic that the appropriate temperature and humidity range is cold and humid with respect to other characteristics (ie, the characteristic corresponding to region 1114) to type 4. By associating the characteristics with the types 1 to 4 in this way, the air conditioning control device 300 generates the guest type classification information (FIG. 5).

<2> Generation of guest type classification information based on representative values of preferred temperature and humidity The air-conditioning control device 300 is based on the results of a questionnaire as shown in FIG. A range may be specified, a representative value of the specified range may be specified, and each characteristic may be classified into any of types 1 to 4 based on the coordinates at which the representative value is located.

FIG. 12 is a diagram showing an example of the results of a questionnaire about the preferred temperature of people having a certain characteristic (nationality is country X). FIG. 13 is a diagram showing an example of the results of a questionnaire regarding the preferred humidity of people having a certain characteristic (nationality is country X).

In the graph 1200 of FIG. 12, the vertical axis represents the room temperature of the environment in which the questionnaire was conducted, and the horizontal axis represents the response results in the questionnaire. Each of the data in the region 1201 represents the result of answering "just right" for the temperature of each environment. The air conditioning control device 300 specifies the temperature range (range R12) of the data in the area 1201 and specifies the intermediate value (value V12) in the range R12 as an example of the representative value of the range R12.

In the graph 1300 of FIG. 13, the vertical axis represents the humidity of the environment in which the questionnaire was conducted, and the horizontal axis represents the response result in the questionnaire. Each of the data in the region 1301 represents the result of answering "just right" for the humidity of each environment. The air conditioning control device 300 specifies the humidity range (range R13) of the data in the region 1301, and specifies the intermediate value (value V13) in the range R13 as an example of the representative value of the range R13.

FIG. 14 is a diagram showing an example of a temperature and humidity graph for specifying a type for a representative value of temperature and humidity of each characteristic. In graph 1400 of FIG. 14, a psychrometric chart is described, and four regions 1401 to 1404 are defined for the psychrometric chart. Each of the regions 1401, 1402, 1403, 1404 corresponds to each of the types 1, 2, 3, and 4. Each of the regions 1401, 1402, 1403, 1404 corresponds to "high temperature and high humidity", "low temperature drying", "high temperature drying", and "low temperature and high humidity". The specific values of temperature and humidity that define each region may be changed as appropriate.

The air-conditioning control device 300 specifies the type of the characteristic based on which of the regions 1401 to 1404 the representative value of each characteristic is located in, and classifies the guest type using the type specified for each characteristic. Generate information (FIG. 5). For example, representative values (V12, V13) of temperature and humidity of the characteristics (nationality is country X) shown in FIGS. 12 and 13 are shown as point P14 in FIG. Point P14 is located in region 1402, where region 1402 corresponds to type 2. Therefore, the air conditioning control device 300 specifies type 2 as a type corresponding to the characteristic (nationality is country X).

<3> Classification of types based only on temperature In the above <1> and <2>, the preferred temperature and the preferred humidity of the person having each characteristic were used to specify the type for the characteristic. It should be noted that only the temperature preferred by the person having each characteristic may be used to specify the type for the characteristic.

FIG. 15 is a diagram showing an example of a type for each characteristic, identified based on the preferred temperature of the person having each characteristic. In FIG. 15, for each of the four characteristics (nationality is country P, nationality is country Q, nationality is country R, nationality is country S), the representative value of the preferred temperature range is T1. , T2, T3, T4. Representative values for the preferred temperature range are specified, for example, by the method described with reference to FIG.

In the example of FIG. 15, the air conditioning control device 300 identifies type 1 for the characteristic (country P) having the representative value T1 corresponding to the highest temperature, and corresponds to the representative value T2 corresponding to the next highest temperature. Type 3 is specified for the characteristic (Country Q), type 4 is specified for the characteristic (Country R) corresponding to the representative value T3 corresponding to the next highest temperature, and the representative value T4 corresponding to the lowest temperature is specified. Type 2 may be specified for the characteristic (Country S) corresponding to.

The air conditioning control device 300 uses the type specified for each characteristic to generate guest type classification information (FIG. 5).

<4> When a plurality of attributes are included as a characteristic In the above <1> to <3>, an attribute (nationality) related to a person is considered as a characteristic. The attributes considered may be other types of attributes (such as age or gender). Also, as a characteristic, a plurality of attributes related to a person may be considered.

With reference to FIGS. 16 and 17, an example will be described in which nationality and age are considered as characteristics. FIG. 16 is a diagram schematically showing other examples of clustering steps and results. In the example of FIG. 16, each data used for clustering for the generation of guest type classification information includes nationality and age as human characteristics. As a result of clustering, the machine learning model 1600 outputs information that identifies regions 1611 to 1614 in the graph 1610.

Region 1611 is a region associated with Type 1 and corresponds to the characteristic "nationality is country A and age is in the 40s".

Region 1612 is a region associated with Type 2 and corresponds to the characteristic "nationality is country X and age is in the twenties".

Region 1613 is a region associated with Type 3 and corresponds to the characteristic "nationality is country Y and age is in the thirties".

Region 1614 is a region associated with Type 4 and corresponds to the characteristic "nationality is country B and age is in the thirties".

Regarding age, "20's" means the range of age from 20 to 29 years old. In addition, each of "30's" and "40's" means an age range of 30 to 39 years old and a range of ages of 40 to 49 years old, respectively.

The air conditioning control device 300 generates guest type classification information based on the result of clustering in FIG.

FIG. 17 is a diagram showing an example of guest type classification information generated based on the result of FIG. In the guest type classification information shown in FIG. 17, the characteristics associated with each type include not only nationality but also age (range of age).

In the examples described with reference to FIGS. 16 and 17, gender may be employed in place of nationality or age, or in addition to nationality and age, as attributes constituting the properties considered.

FIG. 18 is a diagram showing an example of guest type classification information generated when gender is adopted instead of age as an attribute constituting the characteristic to be considered with respect to the example of FIG. In the example of FIG. 18, the characteristics associated with each type include gender as well as nationality. For example, Type 1 is associated with the characteristic of being a woman in Country A. In addition, type 2 is associated with the characteristic of being a male in country B.

FIG. 19 is a diagram showing an example of guest type classification information generated when gender is further considered as a characteristic with respect to the example of FIG. In the example of FIG. 19, the characteristics associated with each type include nationality, age, and gender.

[8. Operation stop instruction before check-in]
A first modification of the process of FIG. 7 will be described with reference to FIG. FIG. 20 is a flowchart of a first modification of the process of FIG. 7.

In the process described with reference to FIG. 7, if the precooling setting of the guest type specified in step S702 is not "yes" (NO in step S706), and the guest specified in step S702. If the type of preheating setting is not "Yes" (NO in step S710), the air conditioning control device 300 proceeds to control to step S716 without transmitting any signal.

In each of the above cases, the air conditioning control device 300 transmits a signal (operation stop signal) instructing the indoor unit 510 to be controlled not to execute the operation, as shown in FIG. You may. The process of FIG. 20 further includes the control of steps S707 and S713 as compared with the process of FIG.

More specifically, as shown in FIG. 20, the air conditioning control device 300 determines in step S706 that the precooling setting of the guest type specified in step S702 is not "Yes" (step S706). NO), in step S707, after transmitting the operation stop signal to the indoor unit 510 to be controlled, the control proceeds to step S716.

Further, as shown in FIG. 20, when the air conditioning control device 300 determines in step S710 that the preheating setting of the guest type specified in step S702 is not "Yes" (NO in step S710). ), In step S713, after transmitting the operation stop signal to the indoor unit 510 to be controlled, the control proceeds to step S716.

By transmitting the operation stop signal in steps S707 and S716, even if the indoor unit 510 to be controlled is operated manually by the staff of the accommodation facility, the indoor unit 510 stops the operation. As a result, when the cooling operation and the heating operation before check-in are unnecessary, the indoor unit 510 to be controlled is surely avoided to operate, and energy saving in the accommodation facility can be thoroughly achieved.

[9. Addition of conditions for performing cooling and heating operations before check-in]
A second modification of the process of FIG. 7 will be described with reference to FIG. FIG. 21 is a flowchart of a second modification of the process of FIG. 7.

In the process described with reference to FIG. 7, whether or not the indoor unit 510 to be controlled is to perform the cooling operation or the heating operation before check-in is determined by the temperature of the guest room to be controlled and the precooling or precooling in the operation content database. It was determined by the preheating setting (yes / no). On the other hand, as shown in FIG. 21, the air conditioning control device 300 determines whether to execute the cooling operation or the heating operation before check-in, as shown in FIG. 21, a certain time before the scheduled check-in time (in the example of FIG. 7, “ Further consideration may be given to the outdoor temperature of "60 minutes ago"). The process of FIG. 21 further includes the control of steps S705 and S711 as compared with the process of FIG.

More specifically, when the air conditioning control device 300 determines in step S704 that the indoor temperature of the guest room 500 to be controlled is 28 ° C. or higher (YES in step S704), the air conditioning control device 300 proceeds to control to step S705.

In step S705, the air conditioning control device 300 determines whether or not the outdoor temperature detected by the sensor 400 is 28 ° C. or higher. If the air conditioning control device 300 determines that the outdoor temperature is 28 ° C. or higher (YES in step S705), the control proceeds to step S706, and if not (NO in step S705), the control proceeds to step S710. ..

Further, when the air conditioning control device 300 determines in step S710 that the indoor temperature of the guest room 500 to be controlled is 20 ° C. or lower (YES in step S710), the air conditioning control device 300 proceeds to control to step S711.

In step S711, the air conditioning control device 300 determines whether or not the outdoor temperature is 18 ° C. or lower. If the air conditioning control device 300 determines that the outdoor temperature is 18 ° C. or lower (YES in step S711), the control proceeds to step S712, and if not (NO in step S711), the control proceeds to step S716. ..

That is, in the process of FIG. 21, even if the room temperature of the guest room 500 to be controlled is 28 ° C. or higher, if the outdoor temperature is less than 28 ° C., the air conditioning control device 300 checks in to the indoor unit 510 to be controlled. The previous cooling operation is not executed. If the outdoor temperature is less than 28 ° C, the indoor temperature of the controlled guest room 500 shall be lowered to the extent that it does not cause discomfort to the guest by the scheduled check-in time even if the cooling operation is not executed. There can be. In the process of FIG. 21, in such a case, the execution of the cooling operation before check-in is avoided, so that the energy consumption can be suppressed as much as possible.

Further, in the process of FIG. 21, even if the room temperature of the guest room 500 to be controlled is 20 ° C. or lower, if the outdoor temperature exceeds 18 ° C., the air conditioning control device 300 checks the indoor unit 510 to be controlled. The heating operation before the inn is not executed. If the outdoor temperature exceeds 18 ° C, the indoor temperature of the controlled guest room 500 will rise to the extent that it does not cause discomfort to the guest by the scheduled check-in time even if the heating operation is not executed. It is possible. In the process of FIG. 21, in such a case, the execution of the heating operation before check-in is avoided, so that the energy consumption can be suppressed as much as possible.

[10. Control according to the characteristics of the guest room]
Next, with reference to FIGS. 22 to 27, control of the indoor unit 510 to be controlled according to the characteristics of the guest room 500 to be controlled will be described. In the present embodiment, the characteristics of the guest room are matters that are expected to affect the temperature change of the guest room, and can be specified by at least one type of attribute related to the guest room. In one example, the guest room attribute used as a characteristic is at least one of the vertical position of the room (eg, "floor" described below) and the horizontal position of the room (eg, "location" described below). including.

<1> Characteristics of the guest room First, the characteristics of the guest room 500 will be described with reference to FIG. 22. FIG. 22 is a diagram showing an example of a data structure of guest room information.

As shown in FIG. 22, the room information associates the room number of each room 500 with the characteristics of the room. Room characteristics include "floor" and "location". "Floor" represents the floor in the accommodation facility where each guest room is located. "Place" represents the position of each guest room on each floor. The number and types of attributes constituting the characteristics of the guest room shown in FIG. 22 are not limited to those shown in FIG. 22 as long as they are attributes related to the position of each guest room.

For example, in FIG. 22, for the room number "1201", "12" is shown as the "floor" and "north side" is shown as the "location". This means that the guest room 500 specified by the room number "1201" is located on the north side of the 12th floor in the accommodation facility.

The room information may be stored in the HDD 304 or may be stored in another storage device accessible to the processor 301.

<2> Main Routine Next, a process executed by the air conditioning control device 300 to control the operation of the air conditioner of each guest room according to the characteristics of the guest room will be described.

FIG. 23 is a flowchart of another example of the process executed by the air conditioning control device 300. The air conditioning control device 300 realizes the process of FIG. 6, for example, by the processor 301 executing a given program.

With reference to FIG. 23, in step S230, the air conditioning control device 300 generates a machine learning model for deriving the predicted temperature of the guest room. The generation of the machine learning model will be described later with reference to FIG. 24.

The control after step S232 is executed for each guest room 500. In step S232, the air conditioning control device 300 accesses the reservation information management device 100 and reads out the scheduled check-in time associated with each room 500 from the reservation information (FIG. 3).

In the control according to the characteristics of the guest room, the scheduled check-in time is an example of the set time, as in the control according to the characteristics of the guest. The set time is not limited to the scheduled check-in time, and may be a check-in possible time set by the accommodation facility side, or may be an arbitrary time that can be set by any other person.

In step S234, the air conditioning control device 300 determines whether or not the time 60 minutes before the scheduled check-in time has arrived for each guest room 500. If there is a guest room 500 whose time is 60 minutes before the scheduled check-in time (YES in step S234), the air conditioning control device 300 proceeds to control the guest room 500 to step S236. For the guest room 500 in which the time 60 minutes before the scheduled check-in time has not arrived (NO in step S234), the control in step S234 is repeated until the time 60 minutes before the scheduled check-in time arrives.

In step S236, the air conditioning control device 300 executes control (pre-cooling / preheating) for pre-cooling and preheating of the guest room 500. For this control, the predicted temperature in the cabin by the machine learning model is used. The content of this control will be described later with reference to FIG. 25.

The air conditioning control device 300 executes the control for precooling and preheating in step S236, and then ends the process in step S23.

In one implementation example, the air conditioning control device 300 executes the control of step S230 only at the start of use in the air conditioning control system 1 of the air conditioning control device 300. The air conditioning control device 300 may execute step S230 again periodically (for example, once a year) or when an instruction is input from the administrator of the air conditioning control system 1. This can update the machine learning model 2400.

<3> Generation of Machine Learning Model FIG. 24 is a diagram for schematically explaining a method of generating and using a machine learning model. The air conditioning control device 300 generates a machine learning model 2400 by subjecting a given model to a learning process. The air-conditioning control device 300 uses the actually measured values tagged by the characteristics of the guest room as teacher data for the learning process. The measured values include time-series data of the temperature inside the cabin, time-series data of the temperature outside the cabin, time-series data of the humidity inside the cabin, and time-series data of the humidity outside the cabin.

In the machine learning model 2400, the temperature in the room for a given period including a given time is input together with the characteristics of the room by the learning process using the time series data tagged with the characteristics of the room. And, it is configured to output the predicted value of the temperature in the room after a certain time from the given time. For example, the machine learning model 2400 inputs time-series data of the room temperature of the room 500 from 90 minutes to 60 minutes before the scheduled check-in time associated with the room 500, together with the characteristics of the room 500. Then, the predicted value of the temperature in the room 500 at the scheduled check time is output.

The machine learning model 2400 may be configured according to any algorithm, and since it is learned using time series data, it may be a model according to, for example, an algorithm of RNN (Recurrent Neural Network).

The air conditioning control device 300 can function as a classifier by executing a program in which the processor 301 realizes the machine learning model 2400.

The machine learning model 2400 uses both the "floor" and the "location" as the characteristics of the guest room, and outputs the predicted value of the temperature of the guest room 500. As a result, the predicted value according to the height position and the horizontal position of the guest room to be predicted can be obtained.

For example, if the size of the building that constitutes the accommodation facility is large, it is assumed that the room temperature of the guest room located on the south side of the upper floors of the building is relatively high at a certain point, and it is located on the north side of the lower floors of the building. It is assumed that the room temperature of the guest room is relatively low. In the air conditioning control system, both "floor" and "location" are used as the characteristics of each guest room, so that an accurate prediction result can be obtained in consideration of the position of the guest room as described above.

As a characteristic of the guest room, only one of "floor" and "place" may be used. For example, if the building constituting the accommodation facility is a low-rise building, only "location" may be used as a characteristic of the guest room. In this case, even if the "floor" is different among the plurality of guest rooms, it is unlikely that the difference in room temperature between the plurality of guest rooms will be large.

Further, when the site area of the building constituting the accommodation facility is small, only the "floor" can be used as a characteristic of the guest room. This is because it is unlikely that the difference in indoor temperature between the plurality of guest rooms will be large even if the "location" is different among the plurality of guest rooms.

<4> Subroutine of step S236 Next, an example of the control of step S236 of FIG. 23 will be described with reference to FIG. 25. FIG. 25 is a subroutine in step S236 of FIG.

With reference to FIG. 25, in step S2500, the air conditioning control device 300 reads out the characteristics of the guest room 500 to be controlled from the guest room information (FIG. 22).

In step S2502, the air conditioning control device 300 has the characteristics read in step S2500, and the guest room to be controlled from 30 minutes before to that point (that is, from 90 minutes to 60 minutes before the scheduled check-in time). By applying the history of the room temperature of 500 to the machine learning model 2400, the predicted value (predicted room temperature) of the room temperature of the room at the scheduled check-in time is acquired. In the air conditioning control system 1, the history of the temperature of each guest room 500 detected by the sensor 530 may be stored in a storage device such as HDD 304. In step S2502, the air conditioning control device 300 may read the temperature history of the guest room 500 to be controlled from the storage device.

In step S2504, the air conditioning control device 300 determines whether or not the predicted indoor temperature acquired in step S2502 is 28 ° C. or higher. If the air conditioning control device 300 determines that the predicted room temperature is 28 ° C. or higher (YES in step S2504), the control proceeds to step S2506, and if not (NO in step S2504), the control is performed to step S2508. Proceed.

In step S2506, the air conditioning control device 300 transmits an instruction (pre-cooling operation signal) for executing the cooling operation to the indoor unit 510 to be controlled. After that, the air conditioning control device 300 advances the control to step S2512.

In step S2508, the air conditioning control device 300 determines whether or not the predicted indoor temperature acquired in step S2502 is 20 ° C. or lower. If the air conditioning control device 300 determines that the predicted room temperature is 20 ° C. or lower (YES in step S2508), the control proceeds to step S2510, and if not (NO in step S2508), the control is performed to step S2512. Proceed.

In step S2510, the air conditioning control device 300 transmits an instruction (preheating operation signal) for executing the heating operation to the indoor unit 510 to be controlled. After that, the air conditioning control device 300 advances the control to step S2512.

In step S2512, the air conditioning control device 300 determines whether or not the guest has checked in to the guest room 500 to be controlled. The air conditioning control device 300 continues the control of step S2512 until it is determined that the guest has checked in (NO in step S2512), and when it is determined that the guest has checked in (YES in step S2512). Control proceeds to step S2514.

In step S2514, the air conditioning control device 300 transmits a signal (release signal) for releasing the precooling or preheating to the indoor unit 510 to be controlled. After that, the air conditioning control device 300 returns the control to FIG. Upon receiving the release signal, the indoor unit 510 is controlled so as to be able to receive an instruction from the controller 520 while continuing the operation up to that point. After that, the air conditioning control device 300 returns the control to FIG. 23 and ends the process of FIG. 23.

According to the process described with reference to FIG. 25, the temperature of the guest room at the scheduled check-in time can be controlled according to the characteristics related to the position of the guest room by controlling the temperature of the guest room before check-in. In many cases, the effect of sunlight on the guest room varies depending on the location of the guest room. According to the process shown in FIG. 25, the influence of sunlight on each guest room can be taken into consideration in the temperature control of each guest room. With such control, when the guest enters the guest room for the first time, the guest room whose temperature is appropriately controlled according to the position can be provided. The impression at the time of entering the room for the first time can be said to be the first impression of the guest room, which can greatly contribute to the overall impression of the guest room. The air-conditioning control system 1 can greatly contribute to improving the impression of the guest's guest room by controlling the temperature of the guest room before check-in.

According to the process described with reference to FIG. 25, when the predicted room temperature is equal to or higher than the reference temperature for cooling (28 ° C. in step S2504), the air conditioning control device 300 precools to the indoor unit 510. If the predicted room temperature is equal to or lower than the reference temperature for heating (20 ° C. in step S2508), the indoor unit 510 is made to perform preheating. Each of the above-mentioned reference temperature for cooling and the reference temperature for heating is merely an example, and a specific temperature may be appropriately set by an administrator of the air conditioning control system 1 or the like.

<5> Modification example (1)
FIG. 26 is a diagram for schematically explaining a method of generating and using a modified example of a machine learning model. Similar to the machine learning model 2400 of FIG. 24, the machine learning model 2600 of FIG. 26 is a measured value (time series data of temperature inside and outside the cabin and time series of humidity inside and outside the cabin) tagged with the characteristics of the cabin. Data) is used for learning.

When the machine learning model 2600 is input with the characteristics of the guest room, the temperature inside the guest room, the temperature outside the guest room, and the humidity inside the guest room for a given period including a given time, the machine learning model 2600 receives the characteristics of the guest room. It is configured to output predicted values of the temperature inside the cabin, the temperature outside the cabin, and the humidity inside the cabin after a certain period of time from the given time.

More specifically, the air conditioning control device 300 adds to the machine learning model 2600 the history of the indoor temperature from 90 minutes to 60 minutes before the scheduled check-in time, as well as the history of the outdoor temperature and the indoor humidity during the period. Apply the history of. In response to this, the machine learning model 2600 has, in addition to the predicted indoor temperature at the scheduled check-in time, the predicted value of the outdoor temperature at the scheduled check-in time (hereinafter, “predicted outdoor temperature”), and the predicted check-in time. Outputs the predicted value of indoor humidity (hereinafter, "predicted indoor humidity").

FIG. 27 is a flowchart of a first modification of the process of FIG. 25. In the process of FIG. 27, in step S2502, the air conditioning control device 300 acquires the predicted indoor temperature, the predicted outdoor temperature, and the predicted indoor humidity as predicted values as described with reference to FIG. 26.

The process of FIG. 27 includes the control of steps S2505 and S2509 as compared to the process of FIG. Hereinafter, the process of FIG. 27 will be described focusing on the changes with respect to FIG. 25.

When the air conditioning control device 300 determines in step S2504 that the predicted indoor temperature is 28 ° C. or higher (YES in step S2504), the air conditioning control device 300 proceeds to control to step S2505.

In step S2505, the air conditioning control device 300 determines whether or not the condition that "the predicted outdoor temperature is 30 ° C. or higher and the predicted indoor humidity is 80% or higher" is satisfied. If the air conditioning control device 300 determines that the above conditions are satisfied (YES in step S2505), the control proceeds to step S2506, and if not (NO in step S2505), the control proceeds to step S2512.

Further, when the air conditioning control device 300 determines in step S2508 that the predicted indoor temperature is 20 ° C. or lower (YES in step S2508), the air conditioning control device 300 proceeds to control to step S2509.

In step S2509, the air conditioning control device 300 determines whether or not the condition that "the predicted outdoor temperature is 18 ° C. or lower and the predicted indoor humidity is 50% or less" is satisfied. If the air conditioning control device 300 determines that the above conditions are satisfied (YES in step S2509), the control proceeds to step S2510, and if not (NO in step S2509), the control proceeds to step S2512.

In the process of FIG. 27 described above, the air conditioning control device 300 determines whether or not to precool or preheat the indoor unit 510 to be controlled, in addition to the comparison result between the predicted indoor temperature and the reference temperature, and the predicted outdoor. Determined based on the results of comparison with the respective reference temperatures for temperature and predicted indoor humidity.

The air conditioning control device 300 considers in addition to the comparison result between the predicted indoor temperature and the reference temperature in determining whether to precool or preheat the indoor unit 510 to be controlled, as a comparison result, the predicted outdoor temperature. And only one of the comparison result between the predicted room humidity and the reference temperature and the comparison result between the predicted room humidity and the reference temperature may be adopted.

That is, in step S2305, the condition that "the predicted outdoor temperature is 30 ° C. or higher and the predicted indoor humidity is 80% or higher" is changed to the condition that "the predicted outdoor temperature is 30 ° C. or higher". Alternatively, the condition may be changed to "the predicted indoor humidity is 80% or more".

Further, in step S2509, the condition that "the predicted outdoor temperature is 18 ° C. or lower and the predicted indoor humidity is 50% or less" is changed to the condition that "the predicted outdoor temperature is 18 ° C. or lower". Alternatively, the condition may be changed to "the predicted indoor humidity is 50% or less".

<6> Modification example (2)
When the indoor unit 510 to be controlled is not precooled and preheated, the air conditioning control device 300 may transmit a signal to stop the operation to the indoor unit 510.

FIG. 28 is a flowchart of a second modification of the process of FIG. 25. The process of FIG. 28 further includes the control of step S2511 as compared to the process of FIG.

In the process of FIG. 28, when the air conditioning control device 300 determines in step S2508 that the predicted room temperature is not 20 ° C. or lower (NO in step S2508), the air conditioning control device 300 proceeds to control to step S2511.

In step S2511, the air conditioning control device 300 transmits an operation stop signal to the indoor unit 510 to be controlled. After that, the air conditioning control device 300 advances the control to step S2512.

When it is determined by the control of step S2511 that the indoor unit 510 to be controlled is not to be precooled and preheated, and the indoor unit 510 is executing the cooling or heating operation for some reason, it is surely performed. The operation of the indoor unit 510 can be stopped, whereby wasteful energy consumption can be reliably suppressed.

<7> Modification example (3)
In the air-conditioning control system 1, even when the characteristics of the guest room are used to determine the necessity of performing precooling and preheating, the information corresponding to the guest characteristics as shown in FIG. 5 is associated with the control type. You may use it. For example, the air conditioning control device 300 may execute the control of step S608 (FIG. 6) after the control of step S236 of FIG.

It should be considered that each embodiment disclosed this time is exemplary in all respects and is not restrictive. The scope of the present invention is shown by the scope of claims rather than the above description, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims. Further, the inventions described in the embodiments and the modifications thereof are intended to be carried out alone or in combination as much as possible.

1 Air conditioning control system, 100 reservation information management device, 200 central management device, 300 air conditioning control device, 301 processor, 400, 530 sensor, 500 guest room, 510 indoor unit, 520 controller, 700 outdoor unit, 900 network, 1000 questionnaire.

Claims (22)

A method performed by a computer that controls an air conditioner,
Steps to get the set time of the room from the accommodation reservation information,
The step of acquiring the characteristics of the guest from the reservation information of the accommodation facility,
A step of determining whether or not the temperature in the guest room is equal to or higher than a given temperature a certain time before the set time of the guest room, and
A step of accessing an operation content database containing one or more operation contents of the air conditioner based on the determination that the temperature in the cabin is equal to or higher than the given temperature.
Each of the above-mentioned one or more operation contents is associated with each characteristic of one or more guests, and defines whether or not to execute the cooling operation before the set time of the guest room.
The method is
When the acquired operation content associated with the characteristic specifies that the cooling operation before the set time is executed, the air in the cabin so as to execute the cooling operation before a certain time before the set time. An air conditioning control method that further includes steps to control the harmonious device. When the acquired operation content associated with the characteristic stipulates that the cooling operation before the set time is not executed, a signal instructing the stop of the operation is sent to the guest room before a certain time before the set time. The air conditioning control method according to claim 1, further comprising a step of transmitting to an air conditioner. Further provided with a step to generate the above-mentioned operation content database,
The step to generate is
Using a dataset that includes the temperature that a person perceives appropriately and the characteristics of the person, to identify the appropriate temperature for each characteristic, and to identify the appropriate temperature for each characteristic.
The air conditioning control method according to claim 1 or 2, wherein the operation content is associated with each characteristic according to an appropriate temperature specified for each characteristic. Further provided with a step to generate the above-mentioned operation content database,
The step to generate is
Using a dataset that includes the temperature and humidity that a person perceives appropriately and the characteristics of the person, identifying the appropriate temperature and humidity range for each characteristic, and
By associating the above-mentioned operation contents with each characteristic according to the appropriate temperature specified for each characteristic,
For each of the characteristics associated with the operation content that specifies that the cooling operation before the set time is performed, the lower the appropriate humidity range specified for the characteristic, the more the setting of the cooling operation before the set time. Including associating a low temperature as a temperature, including
The step of controlling the air conditioner of the guest room includes controlling the air conditioner of the guest room according to the set temperature of the cooling operation before the set time associated with the characteristics of the guest of the guest room. Alternatively, the air conditioning control method according to claim 2. It is possible to associate the operation content with each of the characteristics.
The first characteristic is associated with the operation content that specifies that the cooling operation before the set time is executed.
3. Item 4. The air conditioning control method according to item 4. The step to generate is
The air conditioning control method according to any one of claims 3 to 5, comprising associating the operation content that specifies that the cooling operation before the set time is performed with the characteristic that the appropriate temperature is not specified. A method performed by a computer that controls an air conditioner,
Steps to get the set time of the room from the accommodation reservation information,
The step of acquiring the characteristics of the guest from the reservation information of the accommodation facility,
A step of determining whether or not the temperature in the guest room is below a specific temperature a certain time before the set time of the guest room, and
A step of accessing an operation content database containing one or more operation contents of the air conditioner based on the determination that the temperature in the cabin is equal to or lower than the specific temperature is provided.
Each of the above-mentioned one or more operation contents is associated with each characteristic of one or more guests, and defines whether or not to execute the heating operation before the set time of the guest.
The method is
When the acquired operation content associated with the characteristic stipulates that the heating operation before the set time is executed, the guest room is to execute the heating operation before a certain time before the set time of the guest room. Air conditioning control method with additional steps to control the air conditioner. When the acquired operation content associated with the characteristic stipulates that the heating operation before the set time is not executed, the signal instructing the stop of the operation is sent before a certain time before the set time of the guest room. The air conditioning control method according to claim 7, further comprising a step of transmitting to the air conditioner of the guest room. Further provided with a step to generate the above-mentioned operation content database,
The step to generate is
Using a dataset that includes the temperature that a person perceives appropriately and the characteristics of the person, to identify the appropriate temperature for each characteristic, and to identify the appropriate temperature for each characteristic.
The air conditioning control method according to claim 7, wherein the operation content is associated with each characteristic according to an appropriate temperature specified for each characteristic. Further provided with a step to generate the above-mentioned operation content database,
The step to generate is
Using a dataset that includes the temperature and humidity that a person perceives appropriately and the characteristics of the person, identifying the appropriate temperature and humidity range for each characteristic, and
By associating the above-mentioned operation contents with each characteristic according to the appropriate temperature specified for each characteristic,
For each of the characteristics associated with the operation content that specifies that the heating operation before the set time is performed, the higher the range of appropriate humidity specified for the characteristic, the more the setting of the heating operation before the set time. Including associating a high temperature as a temperature, including
7. The step of controlling the air conditioner in the guest room includes controlling the air conditioner in the guest room according to the set temperature of the heating operation before the set time associated with the characteristics of the guest in the guest room. Alternatively, the air conditioning control method according to claim 8. It is possible to associate the operation content with each of the characteristics.
The first characteristic is associated with the operation content that specifies that the heating operation before the set time is executed.
9. Item 10. The air conditioning control method according to item 10. The step to generate is
The air conditioning control method according to any one of claims 9 to 11, further comprising associating the operation content that specifies that the heating operation before the set time is performed with the characteristic that does not specify an appropriate temperature. The air conditioning control method according to any one of claims 1 to 12, wherein the characteristic includes at least one of the nationality, age, and gender of the guest. A method performed by a computer that controls an air conditioner,
Steps to get the set time of the guest in the room from the reservation information of the accommodation,
The step of acquiring the characteristics regarding the position of the guest room and
A step of acquiring the predicted temperature in the cabin at the set time by inputting the acquired characteristics and the temperature in the cabin to the trained classifier.
According to the result of comparison between the predicted temperature in the guest room and the predetermined reference temperature, a step of determining whether or not the air conditioner in the guest room is to perform the air conditioning operation before a certain time of the set time.
A step of controlling the air conditioner of the guest room to perform the air conditioning operation based on the decision to cause the air conditioner of the guest room to perform the air conditioning operation is provided.
The classifier outputs the predicted temperature in the cabin at a time after a certain time from the given time when the characteristics of the cabin are input together with the temperature in the cabin at a given time. An air conditioning control method that is subject to learning processing using teacher data. The step to determine is
When the predicted temperature in the cabin is higher than the predetermined reference temperature for cooling, it is determined to cause the air conditioner in the cabin to perform the cooling operation as the air conditioning operation.
When the predicted temperature in the guest room is lower than the predetermined reference temperature for heating, it is determined to cause the air conditioner in the guest room to perform the heating operation as the air conditioning operation.
14. The air conditioning control method according to claim 14, further comprising at least one of the above. The air conditioning control method according to claim 14, wherein the characteristic includes at least one of a floor on which the guest room is located and a place on a horizontal plane in the accommodation facility of the guest room. The classifier is said to be given when the characteristics of the room are input together with the temperature inside the room at a given time, the humidity inside the room at a given time, and the temperature outside the room. In addition to the predicted temperature in the guest room at a certain time after the time of, the learning process using the teacher data is performed so as to output the predicted humidity in the guest room and the predicted temperature outside the guest room.
The step to determine is, in addition to the comparison result between the predicted temperature in the cabin and the reference temperature, the comparison result between the predicted humidity in the cabin and the predetermined reference humidity, and the predicted temperature outside the cabin. Any one of claims 14 to 16, including determining whether or not to cause the air conditioner in the guest room to perform an air conditioning operation according to at least one of the comparison results with the predetermined temperature. The air conditioning control method according to item 1. After the guest's check-in in the guest room, if there is no operation on the air conditioner of the guest room for a given time or more, the temperature history in the guest room at the specific time immediately before is used to use the temperature history of the guest room. Steps to calculate the automatic set temperature, which is the set temperature,
The air conditioning control method according to any one of claims 1 to 17, further comprising a step of controlling the air conditioner according to the automatically set temperature. After the guest's check-in in the guest room, when the load factor of the outdoor unit of the air conditioner of the guest room exceeds a given value, when the characteristic of the guest in the guest room indicates that it is hot. By lowering the set temperature of the heating operation of the air conditioner of the guest room, or by increasing the set temperature of the cooling operation of the air conditioner of the guest room when the characteristic of the guest of the guest room is cold. The air conditioning control method according to claim 18, further comprising a step of modifying the automatically set temperature so as to reduce the power consumption of the air conditioner in the guest room. After the guest's check-in in the guest room, when the temperature of the guest room is below a certain temperature and the characteristic of the guest in the guest room indicates that it is hot, the air conditioner of the guest room is stopped. 13. The described air conditioning control method. A program for realizing the air conditioning control method according to any one of claims 1 to 20 in a computer. With the processor
An air conditioning control device including a memory for storing the program according to claim 21.

Images