JP6693576B2 - Recovery system - Google Patents

Description

  The present invention relates to a recovery system.

  Patent Document 1 describes a system for remotely recovering an elevator device after an earthquake occurs. In the system described in Patent Document 1, when the elevator apparatus stops operating due to an earthquake, a signal indicating that the operation has stopped and a signal indicating the state of the car are transmitted to the management center. At the management center, the received signal is displayed on the display. The administrator of the management center sees the contents displayed on the display and sends a signal for resetting the seismic detector.

Japanese Patent Laid-Open No. 2007-254039

  Patent Document 1 discloses a system for recovering an elevator device that has stopped operating due to an earthquake. When operation stops due to an earthquake, there are often no failures in elevator equipment. Therefore, the elevator device can be easily restored by resetting the seismic detector.

  On the other hand, a failure occurs in the elevator device. If a failure occurs in the elevator device, it is necessary to perform work to deal with the failure. In the past, when a failure occurred in the elevator device, it was not possible to grasp appropriate work contents, and the elevator device could not be restored remotely.

  The present invention has been made to solve the above problems. An object of the present invention is to provide a recovery system that can specify, when a failure occurs in an elevator device, appropriate work content for the failure that has occurred.

  A recovery system according to the present invention receives a time series data received from an elevator device, time series data received by the reception means, classifies the input time series data, and outputs a plurality of estimated failure contents. A second classifier that receives the attribute data acquired by the acquisition unit and the acquisition unit that acquires the attribute data regarding the elevator device, classifies the input attribute data, and outputs a plurality of estimated failure contents Specifying means for specifying the failure content that has occurred in the elevator device based on the estimated failure content output by the first classifier and the estimated failure content output by the second classifier, and the failure specified by the failure identification means. Work specifying means for specifying work contents for the contents.

  The recovery system according to the present invention stores time-series data from a storage unit that stores a plurality of failure contents, a plurality of work contents, and a probability that each of the work contents is selected for each of the failure contents, and an elevator device. A receiving unit that receives the time series data, a first classifier that receives the time series data received by the receiving unit, classifies the input time series data, and outputs an estimated occurrence probability for each of the failure contents stored in the storage unit; , An acquisition unit that acquires attribute data related to the elevator device, and the attribute data acquired by the acquisition unit are input, the input attribute data is classified, and the estimated occurrence probability for each of the failure contents stored in the storage unit is output. The estimated occurrence probability output by the second classifier and the first classifier, the estimated occurrence probability output by the second classifier, and stored in the storage means. Based on the probability, and a specifying means for specifying one of the work stored in the storage means.

  In the restoration system according to the present invention, for example, the failure content that occurred in the elevator device is specified based on the estimated failure content output by the first classifier and the estimated failure content output by the second classifier. Further, the work content for the identified failure content is specified. With the restoration system according to the present invention, when a failure occurs in the elevator device, it is possible to specify the appropriate work content for the failure that has occurred.

It is a figure which shows the example of the recovery system in Embodiment 1 of this invention. It is a figure which shows the example of a management center. 3 is a flowchart showing an operation example of the recovery system according to the first embodiment of the present invention. 7 is a flowchart showing another operation example of the recovery system according to the first embodiment of the present invention. It is a figure which shows the other example of a management center. 7 is a flowchart showing another operation example of the recovery system according to the first embodiment of the present invention. It is a figure which shows the example of a decision tree. It is a figure which shows the example of a management center. 7 is a flowchart showing an operation example of the recovery system according to the second embodiment of the present invention. It is a figure which shows the hardware constitutions of a management center.

  The present invention will be described with reference to the accompanying drawings. The overlapping description will be simplified or omitted as appropriate. In the drawings, the same reference numerals indicate the same or corresponding parts.

Embodiment 1.
FIG. 1 is a diagram showing an example of a recovery system according to Embodiment 1 of the present invention. The management center 1 can communicate with many remote elevator devices. Each elevator device includes, for example, a car 2 and a counterweight 3. The car 2 and the counterweight 3 are suspended in the hoistway by the main rope 4. The hoisting machine includes, for example, a drive sheave 5 and an electric motor 6. The main rope 4 is wound around the driving sheave 5. The drive sheave 5 is driven by an electric motor 6. The electric motor 6 is controlled by the control device 7. A communication device 8 is connected to the control device 7. The communication device 8 communicates with an external device. Each elevator device communicates with the management center 1 by the communication device 8.

  When a failure occurs in the elevator device, the communication device 8 acquires a snapshot of signal values indicating the state of the elevator, that is, trace data. The trace data is an example of a signal group including a plurality of signals. For example, the trace data includes a signal for identifying the elevator device itself. The trace data includes a signal indicating time. The trace data includes signals indicating the current value and the voltage value of the control device 7. The trace data includes signals indicating the speed and torque of the electric motor 6. The trace data includes a signal indicating the position of the car 2. The signals included in the trace data are not limited to these examples. A part of the illustrated signals may not be included in the trace data. Other signals may be included in the trace data.

  When a failure occurs in the elevator device, the communication device 8 acquires trace data for a fixed time before and after the failure. For example, when a failure occurs in the elevator device, the communication device 8 acquires trace data every 5 ms for a period from 50 ms before the failure occurs to 50 ms after the failure occurs. When the communication device 8 acquires the trace data, the communication device 8 transmits the acquired trace data to the management center 1.

  Further, when a failure occurs in the elevator device, the communication device 8 transmits the diagnostic code together with the acquired trace data to the management center 1. The diagnostic code includes data indicating the cause of failure.

  FIG. 2 is a diagram showing an example of the management center 1. The management center 1 includes, for example, a storage unit 9, a reception unit 10, a classifier 11, an acquisition unit 12, a classifier 13, a failure identification unit 14, a work identification unit 15, a determination unit 16, a transmission unit 17, and a notification control unit 18. .. The functions and operations of the recovery system will be described below with reference to FIG. FIG. 3 is a flowchart showing an operation example of the restoration system according to the first embodiment of the present invention.

  When a failure occurs in any of the elevator devices, the communication device 8 of the elevator device sends the trace data and the diagnostic code to the management center 1. The data transmitted from the communication device 8 is received by the receiving unit 10 in the management center 1 (S101). When the receiving unit 10 receives the data from the communication device 8, the management center 1 determines whether the received data or the like is time-series data (S102).

  The classifier 11 outputs the estimated failure content from the input data. Time series data is input to the classifier 11. The trace data received by the receiving unit 10 includes a large number of time series data. For example, the transition of the signal indicating the current value of the control device 7 is time series data. The transition of the signal indicating the speed of the electric motor 6 is time series data. That is, the receiving unit 10 is an example of a unit that receives time series data from the elevator device. Among the data received by the receiving unit 10 in S101, the data determined to be time-series data in S102 is input to the classifier 11.

  The classifier 11 classifies the input time series data (S103) and estimates the failure content (S104). The classifier 11 outputs a plurality of estimated failure contents based on the classification result. The estimated failure content output from the classifier 11 may be added with additional information such as the estimated failure occurrence probability.

  The classifier 13 outputs the estimated failure content from the input data. Attribute data is input to the classifier 13. The attribute data is data that is not time-series data among data related to the elevator device. For example, the diagnostic code is attribute data. The data indicating the model of the elevator device is attribute data. The data indicating the rated speed is attribute data. Data indicating the floor of a building equipped with an elevator device is attribute data.

  The acquisition unit 12 acquires attribute data. When the receiving unit 10 receives the trace data and the diagnostic code, the acquiring unit 12 acquires the attribute data regarding the elevator device that has transmitted the data. For example, the acquisition unit 12 acquires attribute data from the data received by the reception unit 10. The acquisition unit 12 may acquire the attribute data from the data stored in the storage unit 9. The data determined to be not time-series data in S102 is input to the classifier 13.

  The classifier 13 classifies the input attribute data into classes (S105) and estimates the failure content (S106). The classifier 13 outputs a plurality of estimated failure contents based on the classification result. The estimated failure content output from the classifier 13 may be added with additional information such as the estimated failure occurrence probability.

  The failure identifying unit 14 identifies the details of the failure that occurred in the elevator device (S107). The failure identification unit 14 performs the identification based on the estimated failure content output from the classifier 11 and the estimated failure content output from the classifier 13, for example. For example, if the estimated failure content output from the classifier 11 has the highest occurrence probability and the estimated failure content output from the classifier 13 has the highest occurrence probability, the failure identification unit 14 Specifies the estimated failure content as the failure content that occurred in the elevator device. The failure identifying unit 14 may identify one failure content based on a value obtained by multiplying the occurrence probability of the estimated failure content.

  The work identification unit 15 identifies the work content for the failure content identified by the failure identification unit 14 (S108). For example, the work content to be selected is preset for each failure content that can be identified by the failure identification unit 14. The setting contents are stored in the storage unit 9, for example. The work identifying unit 15 may refer to the setting content stored in the storage unit 9 to identify the work content corresponding to the failure content.

  The determination unit 16 determines whether the work content identified by the work identification unit 15 can be performed by remote control (S109). For example, when the work content such as "reset of the elevator device" is specified in S108, Yes is determined in S109. When the determination unit 16 determines that the operation can be performed by remote operation, the transmission unit 17 transmits a command for executing the work content identified by the work identification unit 15 in S108 to the elevator device in which the failure has occurred. (S110).

  On the other hand, when the work content requiring the dispatch of the maintenance personnel such as “replacement of the board” is specified in S108, No is determined in S109. When the determination unit 16 does not determine that the operation can be performed by remote operation, for example, the notification control unit 18 causes the notification device 22 to notify the work content specified by the work specification unit 15 in S108 (S111). The notification control unit 18 may cause the notification device 22 to notify the result of the determination made by the determination unit 16 in S109 together with the work content. When the determination unit 16 determines that the operation can be performed by remote control, the notification control unit 18 notifies the work content specified by the work specification unit 15 in S108 and the result determined by the determination unit 16 in S109 from the notification device 22. You may let me know. The alarm 22 is provided in the management center 1, for example.

  According to the example shown in the present embodiment, when a failure occurs in the elevator device, it is possible to specify the appropriate work content for the failure that has occurred. Particularly, in the example shown in the present embodiment, the work content is specified based on the estimated failure content obtained by classifying the time series data and the estimated failure content obtained by classifying the attribute data. Since classification is performed by a plurality of classifiers using independent data for the same event, the reliability of the specific result can be improved.

  In the example shown in FIG. 3, in S110, a command for executing the work content is automatically transmitted. This is an example. When it is determined to be Yes in S109, the work specification unit 15 may not notify the work content specified in S108 and the determination unit 16 may notify the determination unit 16 in S109 of the work without automatically transmitting the command. .. In such a case, the command for executing the work content is transmitted at the discretion of the administrator.

  In the example illustrated in FIG. 3, in S109, it is determined whether the work content specified by the work specifying unit 15 can be performed by remote control. This is an example. The above-mentioned determination may not be performed after the processing of S108 is performed, but the work identification unit 15 may notify the work content identified in S108 from the notification device 22. In such a case, the administrator determines whether the work content can be performed by remote control.

  FIG. 4 is a flowchart showing another operation example of the recovery system according to the first embodiment of the present invention. FIG. 4 shows a specific example of the process shown in S109 of FIG. The determination unit 16 may determine whether or not the work content specified by the work specification unit 15 can be performed by remote control based on the time-series data received by the reception unit 10 in S101.

  For example, the determination unit 16 determines whether or not a person is on the car 2 of the elevator device in which the failure has occurred, from the signal indicating the weight value included in the trace data (S201). The determination unit 16 does not determine that the work content specified by the work specification unit 15 can be performed by remote operation if a person is in the car 2. The determination unit 16 may determine whether or not the main rope 4 is normal from the signal included in the trace data (S202). If the main rope 4 is abnormal, the determination unit 16 does not determine that the work content specified by the work specification unit 15 can be performed by remote control.

  The determination unit 16 may determine from the signal included in the trace data whether or not the brake for stopping the driving sheave 5 is normal (S203). The determination unit 16 does not determine that the work content identified by the work identification unit 15 can be performed by remote operation if an abnormality occurs in the brake. The determination items shown in S201 to S203 are examples. Only one of the judgment items shown in S201 to S203 may be adopted, or a plurality of judgment items may be adopted. Other determination items may be adopted as needed. For example, whether the determination unit 16 can perform the work content specified by the work specifying unit 15 by remote control based on not only the time-series data received by the receiving unit 10 but also the attribute data acquired by the acquiring unit 12. It may be determined whether or not. When the determination unit 16 determines Yes for all the adopted determination items, the transmission unit 17 transmits a command for causing the work identification unit 15 to perform the work content identified in S108 to the elevator device in which the failure has occurred. (S110).

  FIG. 5 is a diagram showing another example of the management center 1. In the example shown in FIG. 5, the management center 1 further includes an updating unit 19 and an updating unit 20 in addition to the elements shown in FIG. The updating unit 19 updates the classifier 11. The updating unit 20 updates the classifier 13. The functions and operations of the updating unit 19 and the updating unit 20 will be described below with reference to FIGS. 6 and 7. FIG. 6 is a flowchart showing another operation example of the recovery system according to the first embodiment of the present invention.

  When a failure occurs in any of the elevator devices, the communication device 8 of the elevator device sends the trace data and the diagnostic code to the management center 1. The data transmitted from the communication device 8 is received by the receiving unit 10 in the management center 1 (S301). The data received by the receiving unit 10 is stored in the storage unit 9.

The storage unit 9 stores data received from many elevator devices. The storage unit 9 also stores other data regarding the elevator device. For example, the storage unit 9 stores the work content specifically performed in the elevator device in which the failure has occurred. The work content is, for example, data input by the maintenance staff who actually performed the work after the work. The storage unit 9 may store specific details of the failure determined by the maintenance personnel. The details of the failure are data input by the maintenance staff who actually performed the work after the work. As another example, the storage unit 9 stores data such as the model, rated speed, and rated capacity of each elevator device. The storage unit 9 stores data such as floors of a building provided with each elevator device. The update unit 19 and the update unit 20 perform update processing based on these data stored in the storage unit 9.

  The updating unit 19 performs learning based on the time-series data received by the receiving unit 10 from each elevator device (S303), and updates the classifier 11 (S304). The process of S302 is the same as the process of S102 shown in FIG. The data determined to be time-series data in S302 is input to the updating unit 19.

The updating unit 19 may update the classifier 11 by any method. For example, regarding time-series data, [x ₁ , x ₂ , ..., X _M ] ^T for which time-series data exists for each of M signals is input to the updating unit 19. Here, [•] ^T indicates transposition. The updating unit 19 performs supervised learning based on the data input by the maintenance staff after the work by, for example, a neural network (NN).

  The update unit 20 performs learning based on attribute data regarding each elevator device (S305), and updates the classifier 13 (S306). The data determined to be not time-series data in S302 is input to the update unit 20.

  The updating unit 20 may update the classifier 13 by any method. For example, Table 1 below shows an example of the attribute data stored in the storage unit 9. The update unit 20 performs learning by generating a decision tree as shown in FIG. 7, for example. FIG. 7 is a diagram showing an example of a decision tree. The learning method by the update unit 20 is not limited to the decision tree. For example, as the learning by the updating unit 20, a method such as pattern mining may be adopted.

  In the examples shown in FIGS. 5 and 6, since learning using independent data is performed for each classifier for the same event, the reliability of the identification result can be improved.

Embodiment 2.
An example of the recovery system in this embodiment is the same as the example shown in FIG. FIG. 8 is a diagram showing an example of the management center 1. In the example shown in the present embodiment, the management center 1 includes, for example, the storage unit 9, the reception unit 10, the classifier 11, the acquisition unit 12, the classifier 13, the identification unit 21, the determination unit 16, the transmission unit 17, and the notification control unit. 18 is provided.

  The storage unit 9 stores, for example, a failure list, a work list, and a probability list. Table 2 shows an example of the failure list. The failure list includes a plurality of failure contents that may occur in the elevator device.

  Table 3 shows an example of the work list. The work list includes a plurality of work contents that can be performed by the elevator device in which the failure has occurred.

  Table 4 shows an example of the probability list. The probability list includes the probabilities that each of the work contents included in the work list is selected for each of the failure contents included in the failure list.

  The functions and operations of the present recovery system will be described below with reference to FIG. FIG. 9 is a flowchart showing an operation example of the recovery system according to the second embodiment of the present invention.

  When a failure occurs in any of the elevator devices, the communication device 8 of the elevator device sends the trace data and the diagnostic code to the management center 1. The data transmitted from the communication device 8 is received by the receiving unit 10 in the management center 1 (S401). When the receiving unit 10 receives the data from the communication device 8, the management center 1 determines whether the received data or the like is time-series data (S402).

In the present embodiment, the classifier 11 outputs the estimated occurrence probability for each failure content included in the failure list from the input data. For example, the time series data received by the receiving unit 10 is input to the classifier 11. The classifier 11 classifies the input time series data into classes (S403) and estimates the occurrence probability (S404). The classifier 11 outputs the estimated occurrence probability P _u (x _i ) for each failure content based on the classification result. Here, x _i is the i-th failure content described in the failure list.

Further, the classifier 13 outputs the estimated occurrence probability for each of the failure contents included in the failure list from the input data. For example, the attribute data acquired by the acquisition unit 12 is input to the classifier 13. The classifier 13 classifies the input attribute data into classes (S405) and estimates the occurrence probability (S406). The classifier 13 outputs the estimated occurrence probability P _v (x _i ) for each failure content based on the classification result.

The identifying unit 21 identifies one of the work contents included in the work list (S408). The identifying unit 21 performs the above-mentioned identification based on the estimated occurrence probability output from the classifier 11, the estimated occurrence probability output from the classifier 13, and the probability included in the probability list. For example, the result obtained by multiplying the estimated occurrence probability P _u (x _i ) output from the classifier 11 and the probabilities included in the probability list is P _u (x _i ) P (x _i | z _j ). The result of multiplication of the estimated occurrence probability P _v (x _i ) output from the classifier 13 and the probabilities included in the probability list is defined as P _v (x _i ) P (x _i | z _j ). Here, z _j is the i-th work content described in the work list. The identifying unit 21 selects the work content having the highest average value of P _u (x _i ) P (x _i | z _j ) and P _v (x _i ) P (x _i | z _j ), for example.

  The determination unit 16 determines whether the work content identified by the identification unit 21 can be performed by remote control (S409). When the determining unit 16 determines that the operation can be performed by remote operation, the transmitting unit 17 transmits a command for executing the work content identified by the identifying unit 21 in S408 to the elevator device in which the failure has occurred ( S410).

  On the other hand, when the determination unit 16 does not determine that the operation can be performed by remote operation, for example, the notification control unit 18 causes the notification unit 22 to notify the work content specified by the specifying unit 21 in S408 (S411). The notification control unit 18 may cause the notification unit 22 to notify the result of the determination made by the determination unit 16 in S409 together with the work content. When the determination unit 16 determines that it can be performed by remote control, the notification control unit 18 notifies the work content specified by the specification unit 21 in S408 and the result determined by the determination unit 16 in S409 from the notification device 22. You may let me.

  According to the example shown in the present embodiment, when a failure occurs in the elevator device, it is possible to specify the appropriate work content for the failure that has occurred. Particularly, in the example shown in the present embodiment, the work content is specified based on the estimated occurrence probability obtained by classifying the time series data and the estimated occurrence probability obtained by classifying the attribute data. Since classification is performed by a plurality of classifiers using independent data for the same event, the reliability of the specific result can be improved.

  In the example shown in FIG. 9, in S410, a command for implementing the work content is automatically transmitted. This is an example. When it is determined to be Yes in S409, the notification unit 22 may notify the work content identified by the identifying unit 21 in S408 and the result determined by the determining unit 16 in S409 without automatically transmitting the command. In such a case, the command for executing the work content is transmitted at the discretion of the administrator.

  In the example illustrated in FIG. 9, in S409, it is determined whether the work content specified by the specifying unit 21 can be performed by remote control. This is an example. The determination unit 21 may notify the work content specified in S408 by the notification device 22 without performing the above determination after the processing in S408 is performed. In such a case, the administrator determines whether the work content can be performed by remote control.

  Also in the example shown in the present embodiment, the determination unit 16 determines whether the work content identified by the identification unit 21 can be performed by remote control based on the time-series data received by the reception unit 10 in S401. You may. That is, the operation example shown in FIG. 4 may be adopted. Further, the determination unit 16 determines whether the work content identified by the identification unit 21 can be performed by remote control based on not only the time-series data received by the reception unit 10 but also the attribute data acquired by the acquisition unit 12. You may judge whether.

  The management center 1 may further include an updating unit 19 and an updating unit 20 in addition to the elements shown in FIG. The update unit 19 performs learning based on the time-series data received by the reception unit 10 from each elevator device, for example, and updates the classifier 11. The updating unit 19 may update the classifier 11 by any method. The updating unit 19 performs supervised learning based on the data input by the maintenance staff after the work by, for example, a neural network (NN). The updating unit 20 updates the classifier 13 by performing learning based on attribute data regarding each elevator device, for example. The updating unit 20 may update the classifier 13 by any method. The update unit 20 performs learning by generating a decision tree, for example.

  Each element indicated by reference numerals 9 to 21 indicates a function of the management center 1. FIG. 10 is a diagram showing a hardware configuration of the management center 1. The management center 1 includes a processing circuit including, for example, a processor 23 and a memory 24 as a hardware resource. The function of the storage unit 9 is realized by the memory 24. The management center 1 executes the programs stored in the memory 24 by the processor 23 to realize the functions of the respective units indicated by reference numerals 10 to 21.

  The processor 23 is also called a CPU (Central Processing Unit), a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, or a DSP. As the memory 24, a semiconductor memory, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk or a DVD may be adopted. The semiconductor memory that can be adopted includes RAM, ROM, flash memory, EPROM, EEPROM, and the like.

  Part or all of the functions of the management center 1 may be realized by hardware. As hardware that realizes the function of the management center 1, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof may be adopted.

  The restoration system according to the present invention can be applied to a system capable of communicating with an elevator device.

  1 management center, 2 baskets, 3 counterweights, 4 main ropes, 5 drive sheaves, 6 electric motors, 7 control devices, 8 communication devices, 9 storage parts, 10 receiving parts, 11 classifiers, 12 acquisition parts, 13 classifiers , 14 failure identification unit, 15 work identification unit, 16 determination unit, 17 transmission unit, 18 notification control unit, 19 update unit, 20 update unit, 21 identification unit, 22 alarm device, 23 processor, 24 memory

Claims (10)

Receiving means for receiving time series data from the elevator device,
A first classifier which receives the time series data received by the receiving means, classifies the input time series data, and outputs a plurality of estimated failure contents;
Acquisition means for acquiring attribute data relating to the elevator device,
A second classifier which receives the attribute data acquired by the acquisition means, classifies the input attribute data, and outputs a plurality of estimated failure contents;
Failure identifying means for identifying the failure content that has occurred in the elevator device based on the estimated failure content output by the first classifier and the estimated failure content output by the second classifier;
Work specifying means for specifying the work content for the failure content specified by the failure specifying means,
Recovery system with.   The recovery system according to claim 1, further comprising a determination unit that determines whether or not the work content specified by the work specification unit can be performed by remote control.   The restoration according to claim 2, further comprising a transmission unit that transmits a command for executing the work content specified by the work specifying unit to the elevator device when the determination unit determines that the work can be performed by remote control. system. Storage means storing a plurality of failure contents, a plurality of work contents, and a probability that each of the work contents is selected for each of the failure contents,
Receiving means for receiving time series data from the elevator device,
A first classifier which receives the time series data received by the receiving means, classifies the input time series data, and outputs an estimated occurrence probability for each of the failure contents stored in the storage means;
Acquisition means for acquiring attribute data relating to the elevator device,
A second classifier that receives the attribute data acquired by the acquisition unit, classifies the input attribute data, and outputs an estimated occurrence probability for each of the failure contents stored in the storage unit,
Based on the estimated occurrence probability output by the first classifier, the estimated occurrence probability output by the second classifier, and the probability stored in the storage unit, one of the work contents stored in the storage unit is selected. Identification means to identify one,
Recovery system with.   The recovery system according to claim 4, further comprising a determination unit that determines whether or not the work content identified by the identification unit can be performed by remote control.   The restoration system according to claim 5, further comprising a transmission unit that transmits a command for performing the work content identified by the identification unit to the elevator device when the determination unit determines that the operation can be performed by remote control. ..   The restoration system according to claim 2, wherein the determination unit determines whether or not the work content can be performed by remote control, based on the time-series data received by the reception unit.   6. The determination unit according to claim 2, wherein the determination unit determines whether the work content can be performed by remote control, based on the time-series data received by the reception unit and the attribute data acquired by the acquisition unit. The recovery system described.   The restoration system according to claim 2 or 5, further comprising a notification control unit that causes a notification device to notify the result determined by the determination unit. First updating means for performing learning based on the time-series data received by the receiving means, and updating the first classifier;
Second updating means for updating the second classifier by performing learning based on attribute data regarding the elevator device;
The restoration system according to any one of claims 1 to 9, further comprising:

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