CN120313183B - Control method, controller, multi-connected system and storage medium for multi-connected system - Google Patents
Control method, controller, multi-connected system and storage medium for multi-connected systemInfo
- Publication number
- CN120313183B CN120313183B CN202510542564.6A CN202510542564A CN120313183B CN 120313183 B CN120313183 B CN 120313183B CN 202510542564 A CN202510542564 A CN 202510542564A CN 120313183 B CN120313183 B CN 120313183B
- Authority
- CN
- China
- Prior art keywords
- target indoor
- perception information
- indoor unit
- indoor units
- split system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Air Conditioning Control Device (AREA)
Abstract
The embodiment of the application provides a control method of a multi-split system, a controller, the multi-split system and a storage medium, comprising the steps of determining the number of indoor units of a target indoor unit in an operation state from a plurality of indoor units; the method comprises the steps of obtaining sensing information and inner function needed fluctuation quantity of each target indoor unit in a control period, determining tolerance parameters of each target indoor unit according to the sensing information, determining outer function needed fluctuation quantity of a multi-split system according to the number of the inner units, the tolerance parameters and the inner function needed fluctuation quantity, and controlling the outer units based on the outer function needed fluctuation quantity. The embodiment of the application introduces the tolerance parameter, so that the degree of colinear among a plurality of pieces of perception information can be judged, the external function required fluctuation of the outdoor unit can be regulated based on the tolerance parameter and the internal function required fluctuation, the control is more stable, the control oscillation problem when a plurality of indoor units are positioned in the same environment space and the perception resonance occurs is avoided, and the user experience is improved.
Description
Technical Field
The application relates to the technical field of multi-split systems, in particular to a control method, a controller, a multi-split system and a storage medium of the multi-split system.
Background
In the related art, for some large environmental spaces, such as a composite space integrally designed for an open kitchen and a guest-room, because it is difficult for a single indoor unit to cover the above composite space, there is an actual situation that a plurality of indoor units are disposed in more and more rooms, for example, 2 to 3 indoor units are installed in one room, but when a plurality of indoor units are installed in the same environmental space, a situation of perceived resonance is very easy to occur. However, the existing multi-split system cannot recognize the sensing resonance condition, so that the control law is affected by the sensing oscillation and can continuously oscillate, thereby causing a large number of user complaints.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the application provides a control method, a controller, a multi-split system and a storage medium of the multi-split system, which aim to avoid the control oscillation problem when a plurality of indoor units are positioned in the same environment space and generate perceived resonance, realize multi-split control optimization and improve user experience.
In a first aspect, an embodiment of the present application provides a control method for a multi-split system, where the multi-split system includes an outdoor unit and a plurality of indoor units, where the plurality of indoor units are configured to be installed in a same environmental space, and the method includes:
Determining the number of the indoor units of the target indoor unit in an operation state from a plurality of indoor units;
obtaining the perception information of each target indoor unit in a control period and the change quantity required by the indoor unit;
Determining a tolerance parameter of each target indoor unit according to a plurality of pieces of perception information, wherein the tolerance parameter is used for representing the degree of colinearity among the plurality of pieces of perception information;
and determining the external function required fluctuation amount of the multi-split system according to the number of the internal machines, the tolerance parameters and the internal function required fluctuation amount, and controlling the outdoor machine based on the external function required fluctuation amount.
According to some embodiments of the application, the determining the tolerance parameter of each target indoor unit according to the sensing information includes:
For each target indoor unit, carrying out statistical analysis on a plurality of perception information to obtain a decision coefficient;
And determining the tolerance parameter of each target indoor unit according to the decision coefficient.
According to some embodiments of the application, for each of the target indoor units, performing statistical analysis on a plurality of the sensing information to obtain a decision coefficient includes:
for each target indoor unit, taking the perception information of the target indoor unit as dependent variable perception information and taking the perception information of other target indoor units as independent variable perception information;
and carrying out regression analysis on the dependent variable perception information and the independent variable perception information to obtain the decision coefficient of the target indoor unit.
According to some embodiments of the application, the tolerance parameter is calculated by the following formula:
Wherein Tolerance i is the tolerance parameter, i is a positive integer and is equal to or less than the number of internal machines, the For the decision coefficients.
According to some embodiments of the application, one of the following is included:
The difference value between the tolerance parameter and the numerical value zero and the collinearity degree of the perception information of the target indoor units are in a negative correlation relationship;
and the difference value between the first value and the tolerance parameter and the collinearity degree of the perception information of the plurality of target indoor units are in positive correlation.
According to some embodiments of the application, the determining the external function required variation of the multi-split system according to the number of internal machines, the tolerance parameters and the internal function required variation includes:
for each target indoor unit, determining an energy demand coefficient according to the number of the indoor units and the tolerance parameter;
and determining the external function required fluctuation quantity of the multi-split system according to the number of the internal machines, the energy required coefficients and the internal function required fluctuation quantity.
According to some embodiments of the application, the energy requirement coefficient is calculated by the following formula:
wherein η i is the energy requirement coefficient, N is the number of internal machines, tolerance i is the tolerance parameter, and i is a positive integer and less than or equal to the number of internal machines.
According to some embodiments of the application, the external machine function required variation is calculated by the following formula:
the Δetotal is the required fluctuation amount of the external machine, N is the number of internal machines, i is a positive integer and is less than or equal to the number of internal machines, η i is the energy requirement coefficient, and Δe i is the required fluctuation amount of the internal machine.
According to some embodiments of the application, the method further comprises:
And after acquiring a plurality of pieces of perception information, arranging the plurality of pieces of perception information according to a time sequence for each target indoor unit to obtain a time sequence comprising the plurality of pieces of perception information.
According to some embodiments of the application, the sensing information includes at least one of temperature information, humidity information.
In a second aspect, an embodiment of the present application provides a controller, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor executes the control method of the multi-split system according to the first aspect when running the computer program.
In a third aspect, an embodiment of the present application provides a multi-split system, including a controller as described in the second aspect above.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium storing computer executable instructions for performing the method for controlling the multi-split system according to the first aspect.
In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program or computer instructions, where the computer program or the computer instructions are stored in a computer readable storage medium, and a processor of a computer device reads the computer program or the computer instructions from the computer readable storage medium, and the processor executes the computer program or the computer instructions, so that the computer device performs a control method of the multi-split system according to the first aspect.
According to the technical scheme, the indoor unit control method and the indoor unit control device have the advantages that firstly, the number of the target indoor units in an operation state is determined from a plurality of indoor units, then, the embodiment of the application obtains the sensing information and the inner function needed fluctuation amount of each target indoor unit in a control period, then, the tolerance parameter of each target indoor unit is determined according to the sensing information, wherein the tolerance parameter is used for representing the collinearity degree among the sensing information, and finally, the outer function needed fluctuation amount of the multi-split system is determined according to the number of the inner units, the tolerance parameters and the inner function needed fluctuation amount, and the outdoor unit is controlled based on the outer function needed fluctuation amount. The embodiment of the application introduces the tolerance parameter, so that the degree of colinearity among a plurality of pieces of perception information can be judged, and the external function required fluctuation of the outdoor unit can be regulated based on the tolerance parameter and the internal function required fluctuation, so that the control is more stable. Therefore, the embodiment of the application can avoid the control oscillation problem when the plurality of indoor units are positioned in the same environment space and generate the sensing resonance, realize the control optimization of the multi-split air conditioner and improve the user experience.
Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate and do not limit the application.
FIG. 1 is a flowchart of a control method of a multi-split system according to an embodiment of the present application;
FIG. 2 is a flowchart of a control method of a multi-split system according to another embodiment of the present application;
FIG. 3 is a flowchart of a control method of a multi-split system according to another embodiment of the present application;
FIG. 4 is a flowchart of a control method of a multi-split system according to another embodiment of the present application;
FIG. 5 is an overall flowchart of a control method of a multi-split system according to an embodiment of the present application;
fig. 6 is a schematic diagram of a controller for executing a control method of a multi-split system according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the application.
In the description of the present application, it should be understood that references to orientation descriptions such as upper, lower, front, rear, left, right, etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of description of the present application and to simplify the description, and do not indicate or imply that the apparatus or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present application.
In the description of the present application, a number means one or more, a number means two or more, and greater than, less than, exceeding, etc. are understood to not include the present number, and above, below, within, etc. are understood to include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present application, unless explicitly defined otherwise, terms such as arrangement, installation, connection, etc. should be construed broadly and the specific meaning of the terms in the present application can be reasonably determined by a person skilled in the art in combination with the specific contents of the technical scheme.
In some cases, for some larger environmental spaces, such as a composite space integrally designed for an open kitchen and a guest-room, because it is difficult for a single indoor unit to cover the above composite space, more and more practical situations occur in which multiple indoor units are arranged in one room, such as 2 to 3 indoor units of an air conditioner are installed in one room, but when multiple indoor units are installed in the same environmental space, the situation of perceived resonance is very easy to occur. However, the existing multi-split system cannot recognize the sensing resonance condition, so that the control law is affected by the sensing oscillation and can continuously oscillate, thereby causing a large number of user complaints.
It should be noted that, the perceived resonance refers to a phenomenon that when the perceives of a plurality of devices have high collinearity in terms of variation, the corresponding control system generates control oscillation.
Based on the above situation, the embodiment of the application provides a control method, a controller, a multi-split system and a storage medium of the multi-split system, which aim to avoid the control oscillation problem when a plurality of indoor units are located in the same environment space and generate perceived resonance, realize multi-split control optimization and improve user experience.
Various embodiments of the multi-split system of the present application are further described below with reference to the accompanying drawings.
In one embodiment, the multi-split system includes, but is not limited to, an outdoor unit and a plurality of indoor units, wherein the plurality of indoor units are configured to be installed in the same environmental space, such as a room or a composite space.
Based on the hardware structure of the multi-split system in the above embodiments, the following provides each embodiment of the control method of the multi-split system of the present application.
As shown in fig. 1, fig. 1 is a flowchart of a control method of a multi-split system according to an embodiment of the present application, where the control method of the multi-split system may include, but is not limited to, step S110, step S120, step S130, and step S140.
Step S110, determining the number of the indoor units of the target indoor unit in an operation state from a plurality of indoor units;
step S120, obtaining the perception information of each target indoor unit in a control period and the change quantity of the indoor unit;
Step S130, determining a tolerance parameter of each target indoor unit according to a plurality of pieces of perception information, wherein the tolerance parameter is used for representing the colinear degree among the plurality of pieces of perception information;
and step 140, determining the external power required fluctuation amount of the multi-split system according to the number of the internal units, the plurality of tolerance parameters and the internal power required fluctuation amount, and controlling the outdoor unit based on the external power required fluctuation amount.
In an embodiment, first, under the condition that a plurality of indoor units are installed in the same environment space, a target indoor unit in an operation state is selected from the plurality of indoor units, the number of the indoor units in the operation state in the same environment space is counted, then, in a control period, sensing information of each target indoor unit and the inner function fluctuation amount of each target indoor unit are obtained, then, tolerance parameters corresponding to the target indoor units are calculated according to a plurality of sensing information for each target indoor unit, and finally, the outer function fluctuation amount of an outdoor unit is determined according to the number of the indoor units, the plurality of tolerance parameters and the inner function fluctuation amount, so that stable control of a multi-split system is realized.
In an embodiment, the sensing information may be temperature information, humidity information, or other environmental parameter information, which is not limited in particular.
It should be noted that, since the tolerance parameter is introduced in the embodiment of the present application, the degree of co-linearity between the plurality of sensing information can be determined, and the external power required variation of the outdoor unit can be adjusted based on the tolerance parameter and the internal power required variation, so that the control is more stable. Therefore, the embodiment of the application can avoid the control oscillation problem when the plurality of indoor units are positioned in the same environment space and generate the sensing resonance, realize the control optimization of the multi-split air conditioner and improve the user experience.
In an embodiment, the manner of controlling the outdoor unit based on the external function required variation in the step S140 may include, but is not limited to, the following:
The first control mode is that for the variable frequency multi-split air conditioner, the running frequency of the compressor can be automatically adjusted according to the load requirement of the indoor unit, so that the rotating speed and the refrigerant flow of the compressor are changed, and the stepless adjustment of the output capacity of the outdoor unit is realized. When the load of the indoor unit is reduced, the frequency converter reduces the operating frequency of the compressor, reduces the flow rate of the refrigerant, and correspondingly reduces the energy requirement of the outdoor unit, otherwise, when the load of the indoor unit is increased, the operating frequency of the compressor is increased, the flow rate of the refrigerant is increased, and the energy requirement of the outdoor unit is increased.
In the second control mode, the heat exchange effect of the outdoor heat exchanger can be changed by changing the rotating speed of the fan of the outdoor unit, so that the energy requirement of the outdoor unit is changed. When the rotating speed of the fan is increased, the air flow speed is increased, the heat exchange efficiency is improved, heat can be more quickly dissipated to the outside or absorbed from the outside, so that the energy of the outdoor unit is required to be increased, otherwise, the rotating speed of the fan is reduced, the heat exchange efficiency is reduced, and the energy of the outdoor unit is required to be correspondingly reduced.
And in the third control mode, the opening degree of the electronic expansion valve can be regulated so as to control the flow and circulation of the refrigerant in the multi-split system, thereby influencing the heat exchange effect and the output capacity of the outdoor unit. When the load of the indoor units changes, the system can automatically adjust the opening of the electronic expansion valve according to the requirements of each indoor unit, and change the flow of the refrigerant, so that the energy of the outdoor unit is matched with the total load of the indoor units.
In addition, as shown in fig. 2, fig. 2 is a flowchart of a control method of the multi-split system according to another embodiment of the present application, and regarding the above step S130, the method may include, but is not limited to, step S210 and step S220.
Step S210, for each target indoor unit, carrying out statistical analysis on a plurality of perception information to obtain a decision coefficient;
Step S220, determining tolerance parameters of each target indoor unit according to the decision coefficients.
In one embodiment, the tolerance parameter calculating process specifically includes, for each target indoor unit, performing statistical analysis according to the sensing information of the target indoor unit and the sensing information of the other target indoor units, thereby calculating a decision coefficient, and then inputting the decision coefficient into a calculation formula or a calculation model, thereby calculating the tolerance parameter of each target indoor unit.
In one embodiment, the tolerance parameter may be calculated according to the following formula:
Wherein Tolerance i is a tolerance parameter, i is a positive integer and less than or equal to the number of internal machines, To determine coefficients.
In an embodiment, the control method of the multi-split system further includes one of the following:
For example, if Tolerance i is close to 0, it is indicated that the perceived information of the target indoor unit and the perceived information of other target indoor units have serious collinearity.
For example, if Tolerance i is close to 1, it is indicated that the perceived information of the target indoor units has almost no collinearity and is relatively independent.
In addition, as shown in fig. 3, fig. 3 is a flowchart of a control method of the multi-split system according to another embodiment of the present application, and regarding the above step S210, the method may include, but is not limited to, step S310 and step S320.
Step S310, regarding each target indoor unit, taking the perception information of the target indoor unit as dependent variable perception information and taking the perception information of other target indoor units as independent variable perception information;
And step 320, carrying out regression analysis on the dependent variable perception information and the independent variable perception information to obtain the decision coefficient of the target indoor unit.
In one embodiment, the determining coefficient calculating process specifically includes, for each target indoor unit, using the sensing information of the target indoor unit as a dependent variable, using the sensing information of other target indoor units as independent variables, and performing regression analysis according to the dependent variable and the independent variable, thereby calculating the determining coefficient of the target indoor unit.
Among other things, regression analysis is part of statistical analysis used to infer statistics, which is primarily used to study relationships between variables, such as between dependent and independent variables. Regression analysis may analyze the correlation between the variables, predict future trends, and interpret changes in the data.
In addition, as shown in fig. 4, fig. 4 is a flowchart of a control method of the multi-split system according to another embodiment of the present application, and regarding the above step S140, the method may include, but is not limited to, step S410 and step S420.
Step S410, for each target indoor unit, determining an energy demand coefficient according to the number of the indoor units and the tolerance parameter;
step S420, determining the external function change amount of the multi-split system according to the number of internal machines, the plurality of energy requirement coefficients and the internal function change amount.
In an embodiment, first, the energy requirement coefficient may be calculated according to the following formula:
Wherein eta i is an energy requirement coefficient, N is the number of internal machines, tolerance i is a tolerance parameter, and i is a positive integer and less than or equal to the number of internal machines.
Then, after the energy requirement coefficient of each target indoor unit is calculated, the embodiment of the application can continuously calculate the energy requirement fluctuation of the external unit according to the following formula:
here, Δetotal is the external function required fluctuation amount, and Δe i is the internal function required fluctuation amount.
In one embodiment, the method further comprises, for each target indoor unit, after the plurality of pieces of sensing information are acquired, arranging the plurality of pieces of sensing information in a time sequence to obtain a time sequence including the plurality of pieces of sensing information. Then, the tolerance Tolerance i of each time sequence can be calculated later, so as to judge the co-linearity degree of the perception information of each target indoor unit.
Based on the control method of the multi-split system in the above embodiments, the following provides an overall embodiment of the control method of the multi-split system of the present application.
As shown in fig. 5, fig. 5 is an overall flowchart of a control method of a multi-split system according to an embodiment of the present application.
In an embodiment, the overall control method of the multi-split system may include, but is not limited to, step S510, step S521, step S522, step S523, step S524, step S530, step S541 and step S542.
Step S510, start.
Step S521, the number of running internal machines is obtained, and specifically, the number N of internal machines currently running is obtained.
And step 522, acquiring the perception information of the internal machines to form a time sequence, specifically, respectively acquiring the perception information, such as indoor temperature, of the N internal machines of the multi-connected machine, and forming N time sequences, namely T1, T2.
Step S523, calculating tolerance parameters of each time sequence in a periodic window; in particular, the tolerance parameter Tolerance i for each time series is calculated for a time interval with a periodic window T, e.g. t=60 minutes (i=1, and (4) judging the collinearity degree of the perception information of the internal machine.
Wherein the tolerance parameterDetermining coefficientsThe method is a decision coefficient obtained by carrying out regression analysis by taking the perception information of one internal machine as a dependent variable and the perception information of other internal machines as independent variables.
If Tolerance i is close to 0, it indicates that there is serious collinearity between the internal machine perception information and other internal machine perception information.
If Tolerance i is close to 1, it indicates that the internal machine perception information has almost no collinearity and is relatively independent.
Step S524, calculating the energy demand coefficient of each internal machine according to the tolerance parameter, specifically, calculating the energy demand coefficient of each internal machine according to the tolerance parameter
In step S530, the internal function required variation of the current period is obtained, and specifically, the internal function required variation of the current period is obtained as ΔE i,ΔEi,…,ΔEN.
Step S541, calculating the external energy demand variation according to the weighting formula, specifically, calculating the external energy demand variation according to the energy demand coefficient and the current energy demand
Step S542 ends.
In addition, in an embodiment, a multiple on-line system is provided with an outdoor unit and a plurality of indoor units, wherein 3 indoor units are installed in the same environment space and are all in an operation state, and for the system, a conventional control manner and a control manner of the embodiment of the application are respectively as follows:
for the conventional control mode, in the current control period i, three indoor units can be controlled according to the control law, for example, when the indoor final temperature measured values corresponding to the three indoor units are 26.0 ℃, 26.0 ℃ and 25.2 ℃ respectively, the variable quantity can be determined through the deviation of the indoor temperature set value and the indoor temperature measured value, and in this conventional control algorithm, the original variable quantity of the three indoor units can be obtained and is [ +20, +10] respectively, and because one outdoor unit is used for simultaneously controlling the three indoor units, the variable quantity of the outdoor unit is the sum of the variable quantities of the three indoor units, namely, under the conventional control algorithm, the variable quantity of the outdoor unit is Δetotal' = +20+20+10=50, and the variable quantity of the outdoor unit is increased by 50.
For the control manner of the embodiment of the present application, for the current control period i, the temperature time sequences corresponding to the 3 indoor units may be obtained, where t1= [26.7,26.6,26.5,..26.0 ], t2= [26.8,26.5,26.5,..26.0 ], and t3= [26.7,26.5,26.4,..25.2 ]. In this case, the T1 sequence can be interpreted from T2 and T3 as dependent variables, calculatedFurther, the tolerance Tolerance 1 =0.2 is obtained, that is, the co-linearity exists between the internal machine 1 sensing information and other internal machine sensing information, the energy requirement coefficient η 1 =1/3+0.2 (2/3) =0.467, and it is seen that when the co-linearity exists, the energy requirement coefficient of the internal machine 1 is reduced to be closer to 1/N, that is, one third. The internal units 2 and 3 are calculated to obtain corresponding energy demand coefficients, such as three energy demand coefficients η 1、η2 and η 3 are equal to [0.467,0.467,0.532] respectively, and then the original energy demand fluctuation amounts of the three indoor units obtained by the conventional control algorithm are calculated according to [ +20, +10] respectively, so as to obtain the product value of the original energy demand fluctuation amounts of each indoor unit and the three energy demand coefficients, for example, for the internal unit 1, the adjusted energy demand fluctuation amounts thereof are +20×0.467=9.34, for the internal unit 2, the adjusted energy demand fluctuation amounts thereof are +20×0.467=9.34, and for the internal unit 3, the adjusted energy demand fluctuation amounts thereof are +10×0.532=5.32, so that the control mode of the embodiment of the present application can obtain the energy demand fluctuation amounts of the three indoor units of +9.34, +5.32], and in addition, because the control mode of the embodiment of the present application is that the three indoor units are controlled to be the energy demand fluctuation amounts of the three indoor units, namely, the indoor units and the outdoor unit are controlled to be the energy demand fluctuation amounts of the indoor unitsOnly the ascent 24 is required for the energy of the outdoor unit.
As can be seen from the above, in the conventional control method, the external function change amount is 50, while in the control method of the embodiment of the present application, the external function change amount is only 24, so the external function change amount in the control method of the embodiment of the present application is much smaller than the external function change amount in the conventional control method, and thus the control method of the embodiment of the present application is relatively smooth.
Therefore, the embodiment of the application can avoid the control oscillation problem when the sensing resonance occurs, can obtain better control effect in the running environment of the open integrated space multi-air conditioner, and improves the comfort of users.
Based on the control method of the multi-split system in the above embodiments, the following provides various embodiments of the controller, the multi-split system, the computer readable storage medium and the computer program product of the present application.
Fig. 6 is a schematic diagram of a controller for executing a control method of a multi-split system according to an embodiment of the present application. The controller 100 of the present application comprises a processor 110, a memory 120, and a computer program stored on the memory 120 and executable on the processor 110, wherein one processor 110 and one memory 120 are exemplified in fig. 6.
The processor 110 and the memory 120 may be connected by a bus or otherwise, which is illustrated in fig. 6 as a bus connection.
Memory 120, as a non-transitory computer-readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer-executable programs. In addition, memory 120 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 120 optionally includes memory 120 remotely located relative to the processor 110, the remote memory 120 being connectable to the controller 100 through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Those skilled in the art will appreciate that the device structure shown in fig. 6 is not limiting of the controller 100 and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
In the controller 100 shown in fig. 6, the processor 110 may be configured to invoke the quick communication program stored in the memory 120, thereby implementing the control method of the multi-split system described above. Specifically, a non-transitory software program and instructions required to implement the control method of the multi-split system of the above-described embodiment are stored in the memory 120, and when executed by the processor 110, the control method of the multi-split system of the above-described embodiment is performed.
It should be noted that, because the controller 100 of the embodiment of the present application is capable of executing the control method of the multi-split system of any one of the embodiments, the specific implementation and the technical effect of the controller 100 of the embodiment of the present application may refer to the specific implementation and the technical effect of the control method of the multi-split system of any one of the embodiments.
In addition, an embodiment of the application also provides a multi-split system, which comprises a centralized controller and a plurality of household appliances, wherein the plurality of household appliances comprise a first device and a second device, and the multi-split system is used for executing the control method of the multi-split system in any embodiment.
It should be noted that, because the multi-split system of the embodiment of the present application can execute the control method of the multi-split system of any one of the embodiments, the specific implementation and the technical effect of the multi-split system of the embodiment of the present application may refer to the specific implementation and the technical effect of the control method of the multi-split system of any one of the embodiments.
In addition, an embodiment of the present application further provides a computer readable storage medium, where computer executable instructions are stored, where the computer executable instructions are configured to execute the control method of the multi-split system described above. Illustratively, the method steps in fig. 1-5 described above are performed.
It should be noted that, since the computer readable storage medium of the embodiment of the present application can execute the control method of the multi-split system of any one of the embodiments, the specific implementation and the technical effects of the computer readable storage medium of the embodiment of the present application can refer to the specific implementation and the technical effects of the control method of the multi-split system of any one of the embodiments.
Furthermore, an embodiment of the present application provides a computer program product, including a computer program or computer instructions, where the computer program or computer instructions are stored in a computer readable storage medium, and a processor of the computer device reads the computer program or the computer instructions from the computer readable storage medium, and the processor executes the computer program or the computer instructions, so that the computer device executes the control method of the multi-split system described above. Illustratively, the method steps in fig. 1-5 described above are performed.
It should be noted that, since the computer program product of the embodiment of the present application is capable of executing the control method of the multi-split system of any one of the embodiments, the specific implementation and the technical effects of the computer program product of the embodiment of the present application may refer to the specific implementation and the technical effects of the control method of the multi-split system of any one of the embodiments.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically include computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and may include any information delivery media.
While the preferred embodiment of the present application has been described in detail, the present application is not limited to the above embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit and scope of the present application, and these equivalent modifications or substitutions are included in the scope of the present application as defined in the appended claims.
Claims (13)
1. A control method of a multi-split air conditioner system is characterized by comprising an outdoor unit and a plurality of indoor units, wherein the indoor units are arranged in the same environment space, and the method comprises the following steps:
Determining the number of the indoor units of the target indoor unit in an operation state from a plurality of indoor units;
obtaining the perception information of each target indoor unit in a control period and the change quantity required by the indoor unit;
Determining a tolerance parameter of each target indoor unit according to a plurality of pieces of perception information, wherein the tolerance parameter is used for representing the degree of colinearity among the plurality of pieces of perception information;
Determining the external function required fluctuation amount of the multi-split system according to the number of the internal machines, the tolerance parameters and the internal function required fluctuation amount, and controlling the outdoor machine based on the external function required fluctuation amount;
Wherein the sensing information comprises at least one of temperature information and humidity information.
2. The method of claim 1, wherein said determining a tolerance parameter for each of said target indoor units based on a plurality of said perception information comprises:
For each target indoor unit, carrying out statistical analysis on a plurality of perception information to obtain a decision coefficient;
And determining the tolerance parameter of each target indoor unit according to the decision coefficient.
3. The method of claim 2, wherein said statistically analyzing the plurality of perceived information for each of the target indoor units to obtain a decision coefficient comprises:
for each target indoor unit, taking the perception information of the target indoor unit as dependent variable perception information and taking the perception information of other target indoor units as independent variable perception information;
and carrying out regression analysis on the dependent variable perception information and the independent variable perception information to obtain the decision coefficient of the target indoor unit.
4. The method of claim 2, wherein the tolerance parameter is calculated by the formula:
Wherein Tolerance i is the tolerance parameter, i is a positive integer and is equal to or less than the number of internal machines, the For the decision coefficients.
5. The method of claim 4, comprising one of:
The difference value between the tolerance parameter and the numerical value zero and the collinearity degree of the perception information of the target indoor units are in a negative correlation relationship;
and the difference value between the first value and the tolerance parameter and the collinearity degree of the perception information of the plurality of target indoor units are in positive correlation.
6. The method of claim 1, wherein the determining the external machine function demand variation of the multi-split system according to the number of internal machines, the plurality of tolerance parameters, and the internal machine function demand variation comprises:
for each target indoor unit, determining an energy demand coefficient according to the number of the indoor units and the tolerance parameter;
and determining the external function required fluctuation quantity of the multi-split system according to the number of the internal machines, the energy required coefficients and the internal function required fluctuation quantity.
7. The method of claim 6, wherein the energy requirement factor is calculated by the formula:
wherein η i is the energy requirement coefficient, N is the number of internal machines, tolerance i is the tolerance parameter, and i is a positive integer and less than or equal to the number of internal machines.
8. The method of claim 6, wherein the external machine function demand variation is calculated by the following formula:
the Δetotal is the required fluctuation amount of the external machine, N is the number of internal machines, i is a positive integer and is less than or equal to the number of internal machines, η i is the energy requirement coefficient, and Δe i is the required fluctuation amount of the internal machine.
9. The method according to claim 1, wherein the method further comprises:
And after acquiring a plurality of pieces of perception information, arranging the plurality of pieces of perception information according to a time sequence for each target indoor unit to obtain a time sequence comprising the plurality of pieces of perception information.
10. A controller, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the control method of the multi-split system according to any one of claims 1 to 9 when the computer program is executed.
11. A multi-split system comprising the controller of claim 10.
12. A computer-readable storage medium storing computer-executable instructions for performing the control method of the multi-split system according to any one of claims 1 to 9.
13. A computer program product comprising a computer program or computer instructions, characterized in that the computer program or the computer instructions are stored in a computer-readable storage medium, from which a processor of a computer device reads the computer program or the computer instructions, which processor executes the computer program or the computer instructions, so that the computer device performs the control method of the multi-split system according to any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202510542564.6A CN120313183B (en) | 2025-04-27 | 2025-04-27 | Control method, controller, multi-connected system and storage medium for multi-connected system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202510542564.6A CN120313183B (en) | 2025-04-27 | 2025-04-27 | Control method, controller, multi-connected system and storage medium for multi-connected system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN120313183A CN120313183A (en) | 2025-07-15 |
| CN120313183B true CN120313183B (en) | 2025-09-23 |
Family
ID=96331422
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202510542564.6A Active CN120313183B (en) | 2025-04-27 | 2025-04-27 | Control method, controller, multi-connected system and storage medium for multi-connected system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN120313183B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114857762A (en) * | 2022-03-01 | 2022-08-05 | 青岛海尔空调器有限总公司 | Method and device for controlling air conditioner, air conditioner |
| CN114857738A (en) * | 2022-05-30 | 2022-08-05 | 美的集团武汉暖通设备有限公司 | Operation control method of outdoor unit, operation control method of indoor unit and air conditioner |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2947254B1 (en) * | 1998-02-26 | 1999-09-13 | 松下電器産業株式会社 | Multi-room air conditioner |
| US20070181000A1 (en) * | 2006-02-03 | 2007-08-09 | General Electric Company | Air quality device |
| CN102607734B (en) * | 2011-12-14 | 2013-06-12 | 中国科学院电工研究所 | Temperature measuring method and device based on nuclear magnetic resonance principle |
| US10612808B2 (en) * | 2018-05-01 | 2020-04-07 | Lennox Industries Inc. | Operating an HVAC system based on predicted indoor air temperature |
| CN110472197A (en) * | 2019-08-22 | 2019-11-19 | 苏州卡泰里环保能源有限公司 | Method based on the prediction windowing behavior of Binary Logistic model use dummy variable |
-
2025
- 2025-04-27 CN CN202510542564.6A patent/CN120313183B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114857762A (en) * | 2022-03-01 | 2022-08-05 | 青岛海尔空调器有限总公司 | Method and device for controlling air conditioner, air conditioner |
| CN114857738A (en) * | 2022-05-30 | 2022-08-05 | 美的集团武汉暖通设备有限公司 | Operation control method of outdoor unit, operation control method of indoor unit and air conditioner |
Also Published As
| Publication number | Publication date |
|---|---|
| CN120313183A (en) | 2025-07-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102901180B (en) | A kind of method and system controlling air-conditioning | |
| JP5963959B2 (en) | Air conditioning system control apparatus and air conditioning system control method | |
| CN110223005B (en) | A kind of air-conditioning load power supply reliability evaluation method and evaluation device | |
| US20200166230A1 (en) | Controller for hvac unit | |
| US20130261808A1 (en) | System and method for energy management of an hvac system | |
| CN111442483B (en) | Air conditioning equipment, control method and device thereof and electronic equipment | |
| CN108800479A (en) | One drags control method, device and the computer readable storage medium of more air-conditionings | |
| CN109059226A (en) | Control method, air conditioner and the computer readable storage medium of electric expansion valve | |
| CN110726209B (en) | Air conditioner control method and device, storage medium and processor | |
| CN108981105A (en) | Control method, air-conditioning and the computer readable storage medium of air-conditioning draught fan | |
| Zhou et al. | A dynamic water-filling method for real-time HVAC load control based on model predictive control | |
| WO2020237468A1 (en) | Method, apparatus and system for determining temperature setting value, and storage medium and processor | |
| CN111737857B (en) | A coordinated control method for HVAC cluster based on interactive capability curve | |
| CN107631424A (en) | Automatic temperature-control air-conditioner control method and air conditioner | |
| CN113883674A (en) | Air conditioner sleep curve correction method and device, air conditioner and readable storage medium | |
| CN119374221B (en) | Control optimization method and system based on regional central air conditioning system | |
| CN120313183B (en) | Control method, controller, multi-connected system and storage medium for multi-connected system | |
| CN110307616A (en) | A kind of temperature control device and its control method and device | |
| Oyefeso et al. | Control of aggregate air-conditioning load using packetized energy concepts | |
| CN117346295B (en) | Multi-unit coupling control method, device, equipment and computer readable medium | |
| CN119268091A (en) | Heat pump wire controller for controlling room temperature and control method thereof | |
| Teo et al. | Energy management controls for chiller system: A review | |
| CN109323406A (en) | Air conditioner and its control method, server and its control method | |
| CN109323402A (en) | Air conditioner and its control method and control device and electronic equipment | |
| CN117685633A (en) | Air conditioner control method and device, air conditioner and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |