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WO2018122921A1 - Système de récupération - Google Patents

Système de récupération Download PDF

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Publication number
WO2018122921A1
WO2018122921A1 PCT/JP2016/088706 JP2016088706W WO2018122921A1 WO 2018122921 A1 WO2018122921 A1 WO 2018122921A1 JP 2016088706 W JP2016088706 W JP 2016088706W WO 2018122921 A1 WO2018122921 A1 WO 2018122921A1
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WO
WIPO (PCT)
Prior art keywords
unit
failure
classifier
work
estimated
Prior art date
Application number
PCT/JP2016/088706
Other languages
English (en)
Japanese (ja)
Inventor
真人 高井
上田　隆美
剛樹 引地
塩崎　秀樹
大江　敏男
Original Assignee
三菱電機株式会社
三菱電機ビルテクノサービス株式会社
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 三菱電機株式会社, 三菱電機ビルテクノサービス株式会社 filed Critical 三菱電機株式会社
Priority to CN201680091326.7A priority Critical patent/CN110114294B/zh
Priority to KR1020197017123A priority patent/KR102238386B1/ko
Priority to PCT/JP2016/088706 priority patent/WO2018122921A1/fr
Priority to JP2018558535A priority patent/JP6693576B2/ja
Publication of WO2018122921A1 publication Critical patent/WO2018122921A1/fr

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006—Monitoring devices or performance analysers
    • B66B5/0018—Devices monitoring the operating condition of the elevator system
    • B66B5/0025—Devices monitoring the operating condition of the elevator system for maintenance or repair
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms

Definitions

  • This invention relates to a recovery system.
  • Patent Document 1 describes a system for remotely restoring an elevator apparatus after an earthquake occurs.
  • a signal indicating that the operation is stopped and a signal indicating the state of the car are transmitted to the management center.
  • the received signal is displayed on the display.
  • the manager of the management center sees the contents displayed on the display and transmits a signal for resetting the earthquake detector.
  • Patent Document 1 discloses a system for restoring an elevator apparatus that has been stopped due to an earthquake. When the operation is stopped by an earthquake, the elevator apparatus often has no failure. For this reason, an elevator apparatus can be easily restored by resetting an earthquake detector.
  • a failure occurs in the elevator device.
  • it is necessary to perform work corresponding to the failure that has occurred.
  • An object of the present invention is to provide a recovery system that can specify an appropriate work content for a failure that has occurred when a failure occurs in an elevator apparatus.
  • the recovery system includes a receiving means for receiving time series data from the elevator device, time series data received by the receiving means is input, the input time series data is classified, and a plurality of estimated failure contents are output.
  • a work specifying means for specifying the work content for the content.
  • the recovery system includes a storage unit 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, and time series data from the elevator apparatus.
  • the second classifier, the estimated occurrence probability output by the first classifier, the estimated occurrence probability output by the second classifier, and the storage means It was based on a probability, and a specifying means for specifying one of the work stored in the storage means.
  • the content of a failure that has occurred in the elevator apparatus 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 specified failure content is specified. With the recovery system according to the present invention, when a failure occurs in the elevator apparatus, it is possible to specify appropriate work content for the failure that has occurred.
  • 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 a number of remote elevator apparatuses.
  • Each elevator device includes, for example, a car 2 and a counterweight 3.
  • the car 2 and the counterweight 3 are suspended from the hoistway by the main rope 4.
  • the hoisting machine includes, for example, a driving 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.
  • Trace data is an example of a signal group including a plurality of signals.
  • the trace data includes a signal for specifying the elevator apparatus itself.
  • the trace data includes a signal indicating the time.
  • the trace data includes a signal indicating the current value and voltage value of the control device 7.
  • the trace data includes a signal indicating the speed and torque of the electric motor 6.
  • a signal indicating the position of the car 2 is included in the trace data.
  • the signals included in the trace data are not limited to these examples. Some of the exemplified signals may not be included in the trace data. Other signals may be included in the trace data.
  • the communication device 8 acquires trace data for a certain time before and after the failure occurs. For example, when a failure occurs in the elevator apparatus, 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 acquiring the trace data, the communication device 8 transmits the acquired trace data to the management center 1.
  • the communication device 8 transmits a diagnostic code together with the acquired trace data to the management center 1.
  • the diagnosis code includes data indicating the cause of the failure.
  • FIG. 2 is a diagram illustrating 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.
  • a storage unit 9 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.
  • FIG. 3 is a flowchart showing an operation example of the recovery system according to the first embodiment of the present invention.
  • trace data and a diagnostic code are transmitted from the communication device 8 of the elevator device to the management center 1.
  • Data transmitted from the communication device 8 is received by the receiving unit 10 in the management center 1 (S101).
  • the management center 1 determines whether or not the received data 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.
  • 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 apparatus.
  • 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. Additional information such as an estimated failure occurrence probability may be attached to the estimated failure content output from the classifier 11.
  • the classifier 13 outputs a failure content estimated from the input data.
  • Attribute data is input to the classifier 13.
  • the attribute data is data that is not time series data among the data related to the elevator apparatus.
  • the diagnostic code is attribute data.
  • Data indicating the model of the elevator apparatus 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.
  • the acquiring unit 12 acquires attribute data related to the elevator apparatus that has transmitted the data.
  • the acquisition unit 12 acquires attribute data from the data received by the reception unit 10.
  • the acquisition unit 12 may acquire attribute data from data stored in the storage unit 9. Data determined to be not time-series data in S102 is input to the classifier 13.
  • the classifier 13 classifies the input attribute data (S105), and estimates the failure content (S106).
  • the classifier 13 outputs a plurality of estimated failure contents based on the classification result. Additional information such as the estimated failure probability may be attached to the estimated failure content output from the classifier 13.
  • the failure identification unit 14 identifies the content of the failure that has occurred in the elevator apparatus (S107).
  • the failure specifying unit 14 performs the above specification 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 specifying unit 14 Identifies the content of the estimated failure as the content of the failure that has occurred in the elevator apparatus.
  • the failure identification unit 14 may identify one failure content based on a value obtained by multiplying the occurrence probability of the estimated failure content.
  • the work specifying unit 15 specifies the work content for the failure content specified by the failure specifying unit 14 (S108). For example, the operation content to be selected is set in advance for each failure content that can be specified by the failure specifying unit 14.
  • the setting contents are stored in the storage unit 9, for example.
  • the work specifying unit 15 may refer to the setting content stored in the storage unit 9 and specify the work content for the failure content.
  • the determination unit 16 determines whether or not the work content specified by the work specification unit 15 can be performed by remote operation (S109). For example, when the work content such as “reset elevator device” is specified in S108, it is determined Yes in S109.
  • the transmission unit 17 transmits an instruction for causing the work specifying unit 15 to execute the work content specified in S108 to the elevator apparatus in which the failure has occurred. (S110).
  • the notification control unit 18 causes the notification unit 22 to notify the work content specified by the work specifying unit 15 in S108 (S111).
  • the notification control unit 18 may cause the notification unit 22 to notify the result determined by the determination unit 16 in S109 together with the work content.
  • the notification control unit 18 can be implemented by remote operation, the notification of the work content specified by the work specifying unit 15 in S108 and the result determined by the determination unit 16 in S109 from the notification device 22. It may be notified.
  • the notification device 22 is provided in the management center 1.
  • 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 the classification by a plurality of classifiers using independent data for the same event is performed, the reliability of the specific result can be improved.
  • a command for performing the work content is automatically transmitted.
  • the notification of the work content specified by the work specifying unit 15 in S108 and the result determined by the determination unit 16 in S109 may be notified from the notification device 22 without performing automatic command transmission. .
  • a command for performing the work content is transmitted at the discretion of the administrator.
  • the work determination unit 15 may notify the work content specified in S108 from the notification device 22 without performing the above determination after the process of S108. In such a case, the administrator determines whether the work content can be performed by remote operation.
  • FIG. 4 is a flowchart showing another example of operation of the recovery system according to Embodiment 1 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 the work content specified by the work specification unit 15 can be performed by remote operation based on the time-series data received by the reception unit 10 in S101.
  • the determination unit 16 determines whether a person is on the elevator car 2 in which a failure has occurred from a signal indicating the scale value included in the trace data (S201). If a person is on the car 2, the determination unit 16 does not determine that the work content specified by the work specification unit 15 can be performed by remote operation. 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 an abnormality has occurred in the main rope 4, the determination unit 16 does not determine that the work content specified by the work specification unit 15 can be performed by remote operation.
  • the determination unit 16 may determine whether or not the brake for stopping the drive sheave 5 is normal from the signal included in the trace data (S203). If an abnormality has occurred in the brake, the determination unit 16 does not determine that the work content specified by the work specification unit 15 can be performed by remote operation.
  • the determination items shown in S201 to S203 are an example. Only one or more of the determination items shown in S201 to S203 may be adopted. You may employ
  • the determination unit 16 can perform the work content specified by the work specification unit 15 by remote operation based on the attribute data acquired by the acquisition unit 12 as well as the time series data received by the reception unit 10. It may be determined whether or not. If the determination unit 16 determines Yes for all the determination items that have been adopted, the transmission unit 17 transmits a command for causing the work specification unit 15 to perform the work content specified in S108 to the elevator apparatus in which the failure has occurred. (S110).
  • FIG. 5 is a diagram showing another example of the management center 1.
  • the management center 1 further includes an update unit 19 and an update unit 20 in addition to the elements illustrated in FIG. 2.
  • the update unit 19 updates the classifier 11.
  • the update unit 20 updates the classifier 13.
  • FIG. 6 is a flowchart showing another example of operation of the recovery system according to Embodiment 1 of the present invention.
  • trace data and a diagnostic code are transmitted from the communication device 8 of the elevator device to the management center 1.
  • Data transmitted from the communication device 8 is received by the receiving unit 10 in the management center 1 (S301).
  • Data received by the receiving unit 10 is stored in the storage unit 9.
  • the storage unit 9 stores data received from a number of elevator devices.
  • the storage unit 9 also stores other data related to the elevator apparatus.
  • the storage unit 9 stores details of work performed specifically in the elevator apparatus in which the failure occurred. This work content is, for example, data input after work by a maintenance worker who actually performed the work.
  • the storage unit 9 may store specific failure contents determined by the maintenance personnel. This failure content is data input after maintenance by the maintenance personnel who actually performed the operation.
  • the storage unit 9 stores data such as the model, rated speed, and rated speed of each elevator apparatus.
  • the storage unit 9 stores data such as floors of buildings equipped with the elevator devices.
  • 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, for example (S303), and updates the classifier 11 (S304).
  • the process of S302 is the same as the process of S102 shown in FIG. Data that is determined to be time-series data in S302 is input to the update unit 19.
  • the update unit 19 may update the classifier 11 by any method. For example, regarding time series data, [x 1 , x 2 ,..., X M ] T in which time series data exists for each of M signals is input to the updating unit 19. Here, [•] T indicates transposition.
  • the update unit 19 performs supervised learning based on data input after maintenance work by a neural network (NN), for example.
  • NN neural network
  • the update unit 20 performs learning based on, for example, attribute data regarding each elevator device (S305), and updates the classifier 13 (S306). Data that is determined not to be time-series data in S302 is input to the update unit 20.
  • the update unit 20 may update the classifier 13 by any method.
  • Table 1 below shows an example of attribute data stored in the storage unit 9.
  • the updating unit 20 performs learning by generating a decision tree as shown in FIG.
  • FIG. 7 is a diagram illustrating an example of a decision tree. Note that the learning method by the updating unit 20 is not limited to a decision tree. For example, a method such as pattern mining may be employed as learning by the update unit 20.
  • FIG. 8 is a diagram illustrating an example of the management center 1.
  • 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.
  • a failure list For example, a failure list, a work list, and a probability list are stored in the storage unit 9. Table 2 shows an example of the failure list.
  • the failure list includes a plurality of failure contents that may occur in the elevator apparatus.
  • Table 3 shows an example of a work list.
  • the work list includes a plurality of work contents that can be performed by the elevator apparatus in which the failure has occurred.
  • Table 4 shows an example of a probability list.
  • the probability list includes a probability that each of the work contents included in the work list is selected for each of the failure contents included in the failure list.
  • FIG. 9 is a flowchart showing an operation example of the recovery system according to the second embodiment of the present invention.
  • trace data and a diagnostic code are transmitted from the communication device 8 of the elevator device to the management center 1.
  • Data transmitted from the communication device 8 is received by the receiving unit 10 in the management center 1 (S401).
  • the management center 1 determines whether the received data or the like is time-series data (S402).
  • the classifier 11 outputs an estimated occurrence probability for each of the fault contents included in the fault list from the input data.
  • 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 (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.
  • x i is the i-th fault condition described in the fault list.
  • the classifier 13 outputs an estimated occurrence probability for each of the fault contents included in the fault list from the input data.
  • the attribute data acquired by the acquisition unit 12 is input to the classifier 13.
  • the classifier 13 classifies the input attribute data (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 identification unit 21 identifies one of the work contents included in the work list (S408).
  • the identification unit 21 performs the 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, a result obtained by multiplying the estimated occurrence probability P u (x i ) output from the classifier 11 and the probability included in the probability list is P u (x i ) P (x i
  • z j is the i-th work content described in the work list.
  • the specifying unit 21 selects the work content having the highest average value of P u (x i ) P (x i
  • the determination unit 16 determines whether or not the work content specified by the specifying unit 21 can be performed by remote operation (S409).
  • the transmission unit 17 transmits a command for causing the specification unit 21 to execute the work content specified in S408 to the elevator apparatus in which the failure has occurred ( S410).
  • the notification control unit 18 notifies the notification unit 22 of 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 determined by the determination unit 16 in S409 together with the above-described work content.
  • the notification control unit 18 notifies the notification unit 22 of the work content specified by the specifying unit 21 in S408 and the result determined by the determination unit 16 in S409. You may let them.
  • the work content is specified based on the estimated occurrence probability obtained by classifying time-series data and the estimated occurrence probability obtained by classifying attribute data. Since the classification by a plurality of classifiers using independent data for the same event is performed, the reliability of the specific result can be improved.
  • a command for executing the work content is automatically transmitted. This is an example.
  • automatic transmission of the command may not be performed, and the work content specified by the specifying unit 21 in S408 and the result determined by the determining unit 16 in S409 may be notified from the notification device 22.
  • a command for performing the work content is transmitted at the discretion of the administrator.
  • S409 it is determined whether or not the work content specified by the specifying unit 21 can be performed by remote operation. This is an example. After the process of S408 is performed, the determination may not be performed, and the work content specified by the specifying unit 21 in S408 may be notified from the notification device 22. In such a case, the administrator determines whether the work content can be performed by remote operation.
  • the determination unit 16 determines whether the work content specified by the specification unit 21 can be performed by remote operation based on the time-series data received by the reception unit 10 in S401. You may do it. That is, the operation example shown in FIG. 4 may be adopted. Further, the determination unit 16 determines whether the work content specified by the specifying unit 21 can be performed by remote operation 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.
  • the management center 1 may further include an update unit 19 and an update unit 20 in addition to the elements shown in FIG.
  • the updating unit 19 performs learning based on time-series data received by the receiving unit 10 from each elevator apparatus, for example, and updates the classifier 11.
  • the update unit 19 may update the classifier 11 by any method.
  • the update unit 19 performs supervised learning based on data input after maintenance work by a neural network (NN), for example.
  • the update unit 20 performs learning based on attribute data regarding each elevator device, for example, and updates the classifier 13.
  • the update unit 20 may update the classifier 13 by any method. For example, the update unit 20 performs learning by generating a decision tree.
  • FIG. 10 is a diagram illustrating 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 hardware resources.
  • the functions of the storage unit 9 are realized by the memory 24.
  • the management center 1 executes the program stored in the memory 24 by the processor 23, thereby realizing the functions of the units indicated by reference numerals 10 to 21.
  • the processor 23 is also referred to as a CPU (Central Processing Unit), a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, or a DSP.
  • a CPU Central Processing Unit
  • a central processing unit a central processing unit
  • a processing unit an arithmetic unit
  • a microprocessor a microcomputer
  • a DSP digital signal processor
  • a semiconductor memory a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, or a DVD may be employed.
  • Semiconductor memories that can be used include RAM, ROM, flash memory, EPROM, EEPROM, and the like.
  • Some or all of the functions of the management center 1 may be realized by hardware.
  • a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof may be employed.
  • the recovery system according to the present invention can be applied to a system that can communicate with an elevator apparatus.
  • 1 management center 2 cages, 3 counterweights, 4 main ropes, 5 drive sheaves, 6 electric motors, 7 control units, 8 communication units, 9 storage units, 10 reception units, 11 classifiers, 12 acquisition units, 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, 23 Processor, 24 Memory

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  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Maintenance And Inspection Apparatuses For Elevators (AREA)
  • Indicating And Signalling Devices For Elevators (AREA)
  • Selective Calling Equipment (AREA)

Abstract

L'invention concerne une unité de classification (11) qui classifie des données chronologiques d'entrée et délivre en sortie une pluralité de détails de dysfonctionnement estimés. Une unité de classification (13) classifie des données d'attributs d'entrée et délivre en sortie une pluralité de détails de dysfonctionnement estimés. Une unité de spécification de dysfonctionnement (14) spécifie des détails d'un dysfonctionnement qui s'est produit dans un dispositif d'ascenseur, sur la base des détails de dysfonctionnement estimés délivrés en sortie par l'unité de classification (11) et des détails de dysfonctionnement estimés délivrés en sortie par l'unité de classification (13). Une unité de spécification de travail (15) spécifie des détails de travail correspondant aux détails de dysfonctionnement spécifiés par l'unité de spécification de dysfonctionnement (14).
PCT/JP2016/088706 2016-12-26 2016-12-26 Système de récupération WO2018122921A1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
CN201680091326.7A CN110114294B (zh) 2016-12-26 2016-12-26 恢复系统
KR1020197017123A KR102238386B1 (ko) 2016-12-26 2016-12-26 복구 시스템
PCT/JP2016/088706 WO2018122921A1 (fr) 2016-12-26 2016-12-26 Système de récupération
JP2018558535A JP6693576B2 (ja) 2016-12-26 2016-12-26 復旧システム

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