WO2018122898A1 - Système de prise en charge de récupération - Google Patents

Système de prise en charge de récupération Download PDF

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Publication number
WO2018122898A1
WO2018122898A1 PCT/JP2016/088632 JP2016088632W WO2018122898A1 WO 2018122898 A1 WO2018122898 A1 WO 2018122898A1 JP 2016088632 W JP2016088632 W JP 2016088632W WO 2018122898 A1 WO2018122898 A1 WO 2018122898A1
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WIPO (PCT)
Prior art keywords
state data
failure
command
unit
state
Prior art date
Application number
PCT/JP2016/088632
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English (en)
Japanese (ja)
Inventor
奈々穂 大澤
恒次 阪田
賢一 小泉
広泰 田畠
智史 山▲崎▼
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.)
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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 KR1020197012711A priority Critical patent/KR102124994B1/ko
Priority to JP2018558515A priority patent/JP6620898B2/ja
Priority to PCT/JP2016/088632 priority patent/WO2018122898A1/fr
Priority to CN201680090517.1A priority patent/CN110382389B/zh
Publication of WO2018122898A1 publication Critical patent/WO2018122898A1/fr

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    • 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
    • B66B5/0037—Performance analysers
    • 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
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • 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
    • G08B21/187—Machine fault alarms

Definitions

  • This invention relates to a recovery support 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 monitoring center.
  • the received signal is displayed on a display.
  • the monitor at the monitoring center looks at the contents displayed on the display and transmits a signal for resetting the seismic 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.
  • This work includes extremely simple work such as restarting the elevator apparatus.
  • An object of the present invention is to provide a recovery support system capable of accurately determining whether or not it is necessary to dispatch a maintenance staff in order to correct a failure of the device when a failure occurs in the device.
  • the first state data indicating the state at the time of failure of the apparatus in which the failure has occurred
  • the second state data indicating the normal state before the failure occurs
  • a storage means storing third state data indicating a normal state of the device, a learning means for machine learning of the first state data, the second state data, and the third state data stored in the storage means, and a failure has occurred
  • Receiving means for receiving the first state data from the device, and when the receiving means receives the first state data, based on the second state data of the device that has transmitted the first state data and the learning result by the learning means.
  • Determining means for determining whether or not it is necessary to dispatch a maintenance person to fix the failure of the apparatus.
  • the recovery support system includes, for example, a learning unit and a determination unit.
  • the learning unit performs machine learning on the first state data, the second state data, and the third state data stored in the storage unit.
  • the determination unit performs maintenance to correct the failure of the device based on the second state data of the device that has transmitted the first state data and the learning result by the learning unit. Determine whether it is necessary to dispatch personnel.
  • FIG. 1 is a diagram showing an example of a recovery support system according to Embodiment 1 of the present invention.
  • the monitoring 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 monitoring center 1 by the communication device 8.
  • the trace data includes, for example, status data and operation data.
  • the state data is data indicating the current state of the elevator apparatus. For example, a signal indicating the speed of the electric motor 6 is included in the trace data as state data. A signal indicating the torque of the electric motor 6 is included in the trace data as state data. A signal indicating the position of the car 2 is included in the trace data as state data. A signal indicating the temperature measured by the thermometer is included in the trace data as state data.
  • the operation data is data indicating the content of the operation performed by the elevator apparatus.
  • a signal indicating a command from the control device 7 to the electric motor 6 is included in the trace data as operation data.
  • a signal indicating a command from the control device 7 to another driving machine is included in the trace data as operation data.
  • the signal included in the trace data is not limited to the above example. Some of the exemplified signals may not be included in the trace data. Other signals may be included in the trace data.
  • a signal represented by a bit string of 0 or 1 a signal represented by a hexadecimal numeric string, and a signal represented by a decimal numeric string may be mixed.
  • Signals of various signal lengths may be mixed in the trace data.
  • Digital values and analog values may be mixed in the trace data.
  • the communication device 8 acquires trace data constantly or periodically. In addition, when a failure occurs in the elevator device, the communication device 8 acquires trace data when the failure occurs. When acquiring the trace data, the communication device 8 transmits the acquired trace data to the monitoring center 1.
  • the monitoring center 1 includes a storage unit 9, a reception unit 10, a learning unit 11, a determination unit 12, a transmission unit 13, and a notification control unit 14, for example.
  • the functions and operations of the recovery support system will be described in detail below with reference to FIGS.
  • FIG. 2 is a flowchart showing an operation example of the recovery support system according to Embodiment 1 of the present invention.
  • FIG. 2 shows an example of the learning function of the recovery support system.
  • the monitoring center 1 determines whether or not the trace data has been received (S101). For example, trace data is periodically transmitted to the monitoring center 1 from an elevator apparatus that can communicate with the monitoring center 1. Further, when a failure occurs in any elevator device, trace data is transmitted from the elevator device to the monitoring center 1. The trace data transmitted from each elevator apparatus is received by the receiving unit 10 in the monitoring center 1 (Yes in S101). The trace data received by the receiving unit 10 is stored in the storage unit 9 (S102). The receiving unit 10 receives trace data from a number of elevator devices. Trace data is accumulated in the storage unit 9.
  • FIG. 3 shows an example of the trace data stored in the storage unit 9.
  • the black circles in FIG. 3 indicate the values of the status data x acquired when and before and after the failure A occurs in a certain elevator apparatus.
  • the value of x may be one state data value or an evaluation value obtained from a plurality of state data.
  • Black triangles in FIG. 3 indicate the values of the state data x acquired when and before and after the failure B occurs in a certain elevator apparatus.
  • the storage unit 9 stores state data indicating a state when the elevator apparatus is out of order.
  • the state data indicating the state at the time of failure of the elevator apparatus is also referred to as first state data.
  • FIG. 3 shows an example in which a failure A occurs at time t1.
  • FIG. 3 shows an example in which a failure B occurs at time t1 and thereafter time t2.
  • the time when the failure A occurs and the time when the failure B occurs for the first time are set to the same time.
  • the communication device 8 acquires trace data constantly or periodically. For this reason, when a failure occurs in the elevator apparatus, the storage unit 9 stores state data indicating a normal state before the failure occurs.
  • the state data indicating the normal state before the failure occurs is also referred to as second state data.
  • the state data acquired before time t1 is the second state data.
  • FIG. 3 shows an example in which the elevator apparatus is restored immediately after the failure A occurs at time t1. Similarly, FIG. 3 shows an example in which the elevator apparatus is restored immediately after the failure B occurs at time t1.
  • state data indicating a normal state after the failure is stored.
  • the state data indicating the normal state after the failure has occurred is also referred to as third state data.
  • the state data acquired after time t1 among the state data indicated by black circles is the third state data.
  • the state data acquired after time t1 and before time t2 is the third state data.
  • Fault B has also occurred at time t2.
  • the state data acquired after time t1 and before time t2 is second state data.
  • the learning unit 11 performs machine learning on the state data described in the storage unit 9. In the monitoring center 1, it is determined whether or not it is a learning timing (S103). The learning timing is set in advance. If it is determined in S103 that it is the learning timing, machine learning is performed by the learning unit 11 and a learning result is output (S104).
  • the learning unit 11 performs machine learning on the first state data, the second state data, and the third state data described in the storage unit 9. For example, the learning unit 11 performs pattern classification of state data using a technique of unsupervised learning such as hierarchical clustering or k-means. In the example illustrated in FIG. 3, the learning unit 11 specifies a state data pattern when the failure A occurs and a state data pattern when the failure B occurs. The learning unit 11 may output, as a learning result, an average time until a failure occurs next time or a distribution of state data for each classified pattern.
  • FIG. 4 is a flowchart showing another example of operation of the recovery support system according to Embodiment 1 of the present invention.
  • FIG. 4 shows an example of the determination function of the recovery support system.
  • the monitoring center 1 determines whether or not the trace data has been received from the elevator apparatus in which the failure has occurred (S201).
  • trace data is transmitted from the communication device 8 of the elevator device to the monitoring center 1.
  • the trace data transmitted from the communication device 8 is received by the receiving unit 10 in the monitoring center 1 (Yes in S201).
  • the trace data received by the receiving unit 10 in S201 includes first state data.
  • the determination unit 12 determines whether or not it is necessary to dispatch a maintenance person to correct the failure of the elevator apparatus that has transmitted the trace data ( S202).
  • the determination unit 12 performs the above determination based on the second state data of the elevator apparatus and the learning result by the learning unit 11.
  • the second state data of the elevator device is stored in the storage unit 9 before a failure occurs in the device.
  • FIG. 5 is a diagram for explaining the function of the determination unit 12.
  • the state data acquired at time t1 is the first state data received by the receiving unit 10 in S201.
  • the state data acquired before time t1 is second state data.
  • the determination unit 12 specifies, for example, which pattern classified by the learning unit 11 is the closest to the pattern of the second state data of the elevator apparatus in which the failure has occurred this time.
  • FIG. 5 corresponds to the example shown in FIG. 3 with the addition of state data indicated by black squares.
  • the determination unit 12 determines that the second state data pattern of the elevator device in which the failure has occurred this time is the second state data pattern when the failure A occurs and the failure B occurs. It is determined which of the second state patterns is closer.
  • the determination unit 12 determines that the pattern of the second state data of the elevator device in which the failure has occurred this time is close to the pattern of the second state data when the failure A has occurred.
  • the value of the state data before the failure A occurs is between the value x1 and the value x2. Further, the value of the state data in the normal state after the failure A occurs and is automatically restored is also between the value x1 and the value x2. After the failure A occurs and is automatically recovered, the failure A has not occurred again. If the determination unit 12 can identify that the pattern of the second state data of the elevator apparatus in which the failure has occurred is close to the pattern of the second state data when the failure A occurs, the determination unit 12 can automatically recover and dispatch maintenance personnel. Determine that you do not need to.
  • the value of the state data before the failure B occurs is larger than the value x1 at time t3, but falls below the value x1 at time t4.
  • the value of the state data decreases as it approaches time t1 thereafter.
  • the value of the normal state data immediately after the occurrence of the failure B and the automatic recovery has returned to a value lower than the value x1.
  • the value of the state data continues to decrease as it approaches time t2. If the determination unit 12 can specify that the pattern of the second state data of the elevator device in which the failure has occurred is close to the pattern of the second state data when the failure B has occurred, a failure due to deterioration over time has occurred in the elevator device, for example. Because there is a possibility, it is determined that it is necessary to dispatch maintenance personnel.
  • FIG. 6 is a diagram for explaining another function of the determination unit 12. 6 corresponds to an example in which the value of the state data indicated by the black square is different from that in the example shown in FIG.
  • the state data acquired at time t1 among the state data indicated by black squares in FIG. 6 is the first state data received by the receiving unit 10 in S201.
  • the value of the second state data indicated by the black square does not fall between the value x1 and the value x2.
  • the value of the second state data indicated by the black square does not decrease with the passage of time as the second state data indicated by the black triangle.
  • the determination unit 12 may specify the probability that the pattern of the second state data of the elevator apparatus in which the failure has occurred this time belongs to each pattern classified by the learning unit 11.
  • the determination unit 12 may determine whether or not it is necessary to dispatch maintenance personnel, and may output the specified probability.
  • the determination unit 12 may output the time until the next failure occurs in the elevator apparatus or the probability that the failure will occur again within a certain time.
  • T (A) P (A) ⁇ T (A) + P (B) ⁇ T (B)
  • the notification control unit 14 causes the notification unit 17 to notify the result determined by the determination unit 12 in S202 (S203). For example, the alarm 17 is provided in the monitoring center 1.
  • the transmission unit 13 sends an instruction for performing an operation necessary for correcting the failure to the elevator apparatus that has transmitted the trace data. Transmit (S204). In the elevator apparatus that has received the command, an operation necessary to correct the failure is performed. For example, in the elevator apparatus that has received the command, restart is performed.
  • the notification control unit 14 causes the notification unit 17 to notify the result determined by the determination unit 12 in S202 (S205). If the determination unit 12 determines that a maintenance staff needs to be dispatched, the transmission section 13 transmits a maintenance staff dispatch command to the maintenance staff base or the like (S206).
  • a command for performing an operation necessary for correcting the failure is automatically transmitted. This is an example. When it is determined No in S202, only the notification of the determination result may be performed. In such a case, the command is transmitted at the discretion of the supervisor.
  • a maintenance staff dispatch request is automatically made in S206. This is an example. When it determines with Yes in S202, you may perform only alerting
  • both the processing in S203 and the processing in S204 are performed. This is an example.
  • the process of S203 may not be performed.
  • both the processing in S205 and the processing in S206 are performed. This is an example. If a maintenance staff dispatch request is automatically made in S206, the process of S205 may not be performed.
  • FIG. 7 is a flowchart showing another example of the operation of the recovery support system according to Embodiment 1 of the present invention.
  • FIG. 7 shows an example of the determination function of the recovery support system.
  • the processing shown in S301 to S306 in FIG. 7 is the same as the processing shown in S201 to S206 in FIG.
  • the transmission unit 13 sends an instruction for performing an operation necessary for correcting the failure to the elevator apparatus that has transmitted the trace data. Transmit (S304).
  • an operation necessary to correct the failure is performed. For example, in the elevator apparatus that has received the command, restart is performed.
  • the monitoring center 1 determines whether or not the trace data has been received from the restored elevator device (S307). That is, the monitoring center 1 determines whether or not the third state data has been received from the elevator apparatus to which the command has been transmitted in S304.
  • the trace data is transmitted to the monitoring center 1 from the communication apparatus 8 of the elevator apparatus.
  • the trace data transmitted from the communication device 8 is received by the receiving unit 10 in the monitoring center 1 (Yes in S307).
  • the trace data received by the receiving unit 10 in S307 includes the third state data.
  • the determination unit 12 re-determines whether it is necessary to dispatch a maintenance person to correct the failure of the elevator device that has transmitted the trace data (S308).
  • the determination unit 12 performs the above determination based on the third state data received by the reception unit 10 in S307 and the learning result by the learning unit 11.
  • FIG. 8 is a diagram for explaining another function of the determination unit 12.
  • FIG. 8 corresponds to a case where one third state data indicated by a black square is added to the example shown in FIG. If re-determination is performed in S308, it is determined in S302 that it is not necessary to dispatch maintenance personnel before that.
  • the third state data received by the receiving unit 10 in S ⁇ b> 307 is closer to the third data of the elevator device restored from the failure B than the third data of the elevator device restored from the failure A.
  • the determination unit 12 determines that a failure due to, for example, aged deterioration may have occurred in the elevator apparatus at time t1. That is, the determination unit 12 determines in S308 that a maintenance person needs to be dispatched.
  • the notification control unit 14 When it is determined in S308 that it is necessary to dispatch maintenance personnel, the notification control unit 14 causes the notification unit 17 to notify the result determined by the determination unit 12 in S308 (S305). If the determination unit 12 determines that a maintenance staff needs to be dispatched, the transmission section 13 transmits a maintenance staff dispatch command to the maintenance staff base or the like (S306). On the other hand, if it is determined in S308 that it is not necessary to dispatch maintenance personnel, the notification control unit 14 causes the notification unit 17 to notify the result determined by the determination unit 12 in S308 (S309).
  • the determination accuracy can be further improved using the third state data after restoration.
  • FIG. FIG. 9 is a diagram showing an example of a recovery support system according to Embodiment 2 of the present invention.
  • the example shown in the present embodiment is different from the example disclosed in the first embodiment in that the recovery support system uses not only the state data but also the operation data.
  • the monitoring center 1 shown in the present embodiment includes, for example, a storage unit 9, a receiving unit 10, a learning unit 11, a determining unit 12, a transmitting unit 13, and a notification control unit 14.
  • the operation example of the recovery support system in the present embodiment is the same as the operation example shown in FIGS.
  • FIG. 2 shows an example of the learning function of the recovery support system.
  • the monitoring center 1 determines whether or not the trace data has been received (S101). For example, trace data is periodically transmitted to the monitoring center 1 from an elevator apparatus that can communicate with the monitoring center 1. Further, when a failure occurs in any elevator device, trace data is transmitted from the elevator device to the monitoring center 1. The trace data transmitted from each elevator apparatus is received by the receiving unit 10 in the monitoring center 1. The trace data received by the receiving unit 10 is stored in the storage unit 9 (S102). The receiving unit 10 receives trace data from a number of elevator devices. Trace data is accumulated in the storage unit 9.
  • the trace data includes state data and operation data.
  • the storage unit 9 stores first state data, second state data, and third state data.
  • the storage unit 9 stores at least operation data indicating the operation content from when the failure occurs in the elevator apparatus until the failure occurs from the normal state before the failure.
  • the storage unit 9 stores operation data indicating the operation content at the time of failure of the elevator apparatus.
  • the storage unit 9 stores operation data indicating the normal operation content before the failure occurs.
  • the storage unit 9 stores operation data indicating the normal operation content after the failure has occurred.
  • the learning unit 11 performs machine learning on the state data and the operation data described in the storage unit 9. In the monitoring center 1, it is determined whether or not it is a learning timing (S103). If it is determined in S103 that it is the learning timing, machine learning is performed by the learning unit 11 and a learning result is output (S104).
  • the learning unit 11 performs machine learning on the first state data, the second state data, the third state data, and the operation data described in the storage unit 9.
  • the learning unit 11 uses an unsupervised learning technique such as hierarchical clustering or k-means to perform pattern classification of state data based on driving data.
  • operation data for example, pattern classification of state data can be performed for each operation content. For this reason, a more detailed learning result can be obtained.
  • FIG. 4 shows an example of the determination function of the recovery support system.
  • the monitoring center 1 it is determined whether or not the trace data is received from the elevator device in which the failure has occurred (S201).
  • trace data is transmitted from the communication device 8 of the elevator device to the monitoring center 1.
  • Trace data transmitted from the communication device 8 is received by the receiving unit 10 in the monitoring center 1.
  • the trace data received by the receiving unit 10 in S201 includes first state data and operation data at the time of failure.
  • the determination unit 12 determines whether or not it is necessary to dispatch a maintenance person to correct the failure of the elevator apparatus that has transmitted the trace data ( S202).
  • the determination unit 12 performs the above determination based on the second state data received by the receiving unit 10 in S201 and the learning result by the learning unit 11 as well as the operation data received by the receiving unit 10 in S201. For example, the determination unit 12 performs filtering of the state data based on the operation data, and then the pattern of the second state data of the elevator apparatus in which the failure has occurred this time is closest to any pattern classified by the learning unit 11 To identify.
  • the determination unit 12 may also use operation data before failure of the elevator device stored in the storage unit 9.
  • the notification control unit 14 causes the notification unit 17 to notify the result determined by the determination unit 12 in S202 (S203). For example, the alarm 17 is provided in the monitoring center 1.
  • the transmission unit 13 sends the first command for performing the operation necessary to correct the failure to the elevator that has transmitted the trace data. The data is transmitted to the device (S204). In the elevator apparatus that has received the command, an operation necessary to correct the failure is performed. For example, in the elevator apparatus that has received the command, restart is performed.
  • the notification control unit 14 causes the notification unit 17 to notify the result determined by the determination unit 12 in S202 (S205). If the determination unit 12 determines that a maintenance staff needs to be dispatched, the transmission section 13 transmits a maintenance staff dispatch command to the maintenance staff base or the like (S206).
  • FIG. 10 is a diagram showing another example of the recovery support system according to Embodiment 2 of the present invention.
  • FIG. 10 shows an example of the monitoring center 1.
  • the monitoring center 1 further includes a determination unit 16 in addition to the storage unit 9, the reception unit 10, the learning unit 11, the determination unit 12, the transmission unit 13, and the notification control unit 14, for example.
  • FIG. 11 is a flowchart showing another example of operation of the recovery support system according to Embodiment 2 of the present invention.
  • FIG. 11 shows an example of the learning function of the recovery support system.
  • the processing shown in S401 to S406 in FIG. 11 is the same as the processing shown in S201 to S206 in FIG.
  • the transmission unit 13 sends the first command for performing the operation necessary for correcting the failure to the elevator that has transmitted the trace data.
  • the data is transmitted to the device (S404).
  • an operation necessary to correct the failure is performed. For example, in the elevator apparatus that has received the first command, restart is performed.
  • the monitoring center 1 determines whether or not the elevator apparatus to which the first command is transmitted in S404 has been restored (S407).
  • the transmission unit 13 transmits the second command to the elevator apparatus (S408).
  • the second command is a command for causing the elevator apparatus to perform a predetermined operation.
  • a predetermined operation is performed.
  • the certain operation may be the same as the operation performed in the inspection operation.
  • the second command may be a command for performing the same operation as that performed when a failure occurred in the elevator apparatus. In such a case, the second command is generated based on the operation data received by the receiving unit 10 in S401. In the elevator apparatus that has received the second command, the same operation as that performed when the failure occurred is performed.
  • the communication device 8 acquires the trace data when the operation based on the second command is being performed.
  • the trace data includes state data indicating a state when an operation based on the second command is performed.
  • the state data indicating the state when the operation based on the second command is performed is also referred to as fourth state data.
  • the communication device 8 transmits trace data including the fourth state data to the monitoring center 1.
  • the trace data including the fourth state data transmitted from the communication device 8 is received by the receiving unit 10 in the monitoring center 1 (Yes in S409).
  • the determination unit 16 determines whether or not the elevator apparatus that has transmitted the trace data is normal (S410). The determination unit 16 performs the above determination based on the fourth state data received by the reception unit 10 in S409 and the determination criterion.
  • the determination criterion is a criterion for the determination unit 16 to determine whether or not the restored elevator apparatus is normal. If the second command is a command for performing a predetermined constant operation, the determination criterion may be a fixed value.
  • the monitoring center 1 may further include a generation unit 15.
  • the generation unit 15 generates the determination criterion for the determination unit 16 to perform the determination.
  • FIG. 12 is a diagram for explaining the functions of the generation unit 15 and the determination unit 16.
  • the receiving unit 10 receives state data indicating the state of the elevator apparatus when the operation is being performed in S409.
  • the determination unit 16 determines whether or not the elevator apparatus is normal based on the fourth data.
  • the inspection operation is periodically performed in the elevator apparatus. For this reason, it is easy to acquire the state data indicating the state of the elevator apparatus when the inspection operation is performed.
  • the state data acquired during the inspection operation is stored in the storage unit 9.
  • FIG. 12 shows a distribution of normal state data acquired in the past. Specifically, FIG. 12 shows the value of the state data acquired during the inspection operation and its ratio.
  • generation part 15 may produce
  • FIG. 12 illustrates an example in which the generation unit 15 calculates the threshold value Th1 as a determination criterion from past normal state data. For example, when the receiving unit 10 receives the fourth state data having the value V1 in S409, the determining unit 16 determines that the restored elevator device is normal. When the receiving unit 10 receives the fourth state data having the value V2 in S409, the determining unit 16 determines that the restored elevator apparatus is not normal.
  • the generation unit 15 may generate the threshold Th3 shown in FIG. 12 as a determination criterion.
  • the threshold value Th3 indicates an example in which a determination criterion is calculated based on the ratio from past normal state data.
  • FIG. 13 is a diagram for explaining other functions of the generation unit 15 and the determination unit 16.
  • the example illustrated in FIG. 13 corresponds to the example illustrated in FIG. 12 in which a distribution of state data at the time of failure acquired in the past is added.
  • the generation unit 15 may generate a determination criterion based on past normal state data and past fault state data.
  • FIG. 13 shows an example in which the value corresponding to the intersection of the curves is calculated as the threshold Th2. For example, when the receiving unit 10 receives the fourth state data having the value V3 in S409, the determining unit 16 determines that the restored elevator device is normal. When the receiving unit 10 receives the fourth state data having the value V4 in S409, the determining unit 16 determines that the restored elevator apparatus is not normal.
  • the method for generating the determination criterion is not limited to the above example.
  • the determination criterion may be generated based on which one of the distribution ratio at the normal time and the distribution ratio at the failure time is larger.
  • the notification control unit 14 causes the notification unit 17 to notify the result determined by the determination unit 16 in S410 (S411). ).
  • the notification control unit 14 notifies the notification unit 17 of the result determined by the determination unit 16 in S410 ( S405). If the determination unit 16 determines in S410 that the elevator device that has transmitted the fourth state data is not normal, the transmission unit 13 transmits a maintenance staff dispatch command to the maintenance staff base or the like (S406). ).
  • FIG. 14 and 15 are diagrams for explaining other functions of the generation unit 15.
  • the generation unit 15 uses state data at the time of a past failure in order to generate a determination criterion.
  • the generation unit 15 uses state data at the time of a past failure in order to generate a determination criterion.
  • failure state data cannot be obtained unless a failure actually occurs.
  • the elevator apparatus that has received the second command performs the same operation as that performed when a failure occurred.
  • the same operation as that performed when the failure occurred this time has been performed in the past, and status data indicating the state when the failure occurred at that time is required.
  • the generation unit 15 may generate state data corresponding to the state data at the time of the failure based on the plurality of state data received by the receiving unit 10 in the past from the elevator apparatus to which the transmission unit 13 has transmitted the second command. good. That is, the generation unit 15 performs the same operation as the operation based on the second command in the elevator apparatus and indicates the state data when the failure occurs from the plurality of state data stored in the storage unit 9. Generate.
  • the generation unit 15 creates a determination criterion using the generated state data.
  • FIG. 14A to FIG. 14C schematically show operation data stored in the storage unit 9.
  • Fig.14 (a) shows the example of the operation data which show the operation content performed when a failure generate
  • the car 2 in the elevator apparatus in which the failure has occurred, immediately before the failure occurs, the car 2 is stopped, the door is opened, the door is closed, the door is opened before the door is fully closed, the door is fully closed, the car 2 is lowered, The car 2 is stopped and the door is opened sequentially.
  • FIG. 14 (b) and Fig. 14 (c) show examples of operation data.
  • the operation data shown in FIG. 14 (b) and FIG. 14 (c) is operation data indicating the details of operation performed in the past by the elevator apparatus in which the failure has occurred. That is, the operation data shown in FIG. 14B and the operation data shown in FIG. 14C are already stored in the storage unit 9 before a failure occurs in the elevator apparatus.
  • the door 2 is opened, the door is closed, the door is closed, and the door 2 is fully closed and the car 2 is lifted in sequence before the door is fully closed. No failure occurred during this time.
  • FIG. 14C in the elevator apparatus, immediately before a failure occurs, the car 2 is stopped, the door is opened, the door is fully closed, the car 2 is lowered, the car 2 is stopped, and the door is opened. Yes.
  • the generation unit 15 combines a part of the operation data shown in FIG. 14B and a part of the operation data shown in FIG. The operation data corresponding to the operation data is obtained.
  • the storage unit 9 stores state data in association with the operation data shown in FIG.
  • the storage unit 9 stores state data in association with the operation data shown in FIG.
  • the generation unit 15 generates failure state data corresponding to the failure state data based on the state data.
  • FIG. 15A schematically show operation data stored in the storage unit 9.
  • FIG. 15A is the same as the operation data shown in FIG.
  • the operation data shown in FIG. 15 (b) is the same as the operation data shown in FIG. 14 (b).
  • FIG. 15C in the elevator apparatus, the car 2 is stopped, the door is opened, the door is fully closed, the car 2 is lowered, the car 2 is stopped, the door is opened, and the door is fully closed. No failure occurred during this time.
  • the generation unit 15 combines a part of the operation data shown in FIG. 15B and a part of the operation data shown in FIG. Normal operation data corresponding to the operation data is obtained.
  • the storage unit 9 stores state data in association with the operation data shown in FIG.
  • the storage unit 9 stores state data in association with the operation data shown in FIG.
  • the generation unit 15 may generate normal state data corresponding to the state data at the time of failure based on the state data.
  • FIG. 16 is a flowchart showing another operation example of the recovery support system according to the second embodiment of the present invention.
  • FIG. 16 shows an example of operations performed to obtain a normal distribution as shown in FIGS.
  • the operation shown in FIG. 16 is processing subsequent to the processing shown in S408 of FIG.
  • the transmission unit 13 transmits the second command to the elevator device (S408).
  • the second command is a command for performing the same operation as that performed when a failure occurs in the elevator apparatus.
  • the transmission part 13 transmits a 3rd instruction
  • the third command is a command for causing the elevator apparatus to perform the same operation as the operation based on the second command. That is, in the elevator apparatus that has received the third command, the same operation as that performed by the elevator apparatus that has received the second command is performed.
  • the transmission unit 13 transmits the third command to an elevator device other than the elevator device that has transmitted the second command, which is normal and does not have a person on the car 2.
  • the transmission unit 13 may transmit the third command to the elevator apparatus that is at rest.
  • the resting elevator device is an elevator device in a state where no person is on the car 2, no call is registered, and no operation command is assigned.
  • the communication device 8 acquires the trace data when the operation based on the third command is being performed.
  • the trace data includes state data indicating a state when an operation based on the third command is performed.
  • the state data indicating the state when the operation based on the third command is performed is also referred to as fifth state data.
  • the communication device 8 transmits trace data including the fifth state data to the monitoring center 1.
  • the trace data including the fifth state data transmitted from the communication device 8 is received by the receiving unit 10 in the monitoring center 1 (Yes in S413).
  • the generating unit 15 generates a determination criterion based on the fifth state data received by the receiving unit 10 in S413 (S414). For example, the generation unit 15 calculates a normal distribution as illustrated in FIG. 12 or 13 based on the fifth state data received by the reception unit 10 in S413.
  • any of the functions and operations disclosed in the first embodiment may be adopted.
  • Embodiments 1 and 2 the example in which the elevator apparatus is connected to the monitoring center 1 has been described.
  • the device connected to the monitoring center 1 is not limited to the elevator device. Other devices maintained by maintenance personnel may be connected to the monitoring center 1.
  • FIG. 17 is a diagram illustrating a hardware configuration of the monitoring center 1.
  • the monitoring center 1 includes a processing circuit including, for example, a processor 18 and a memory 19 as hardware resources.
  • the functions of the storage unit 9 are realized by the memory 19.
  • the monitoring center 1 executes the program stored in the memory 19 by the processor 18, thereby realizing the functions of the units indicated by reference numerals 10 to 16.
  • the processor 18 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 monitoring 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 support system according to the present invention can be used to determine whether or not it is necessary to dispatch a maintenance staff to fix a device failure.

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Abstract

L'invention concerne un système de prise en charge de récupération comprenant une unité de stockage (9), une unité d'apprentissage (11), une unité de réception (10) et une unité de détermination (12). L'unité d'apprentissage (11) effectue un apprentissage automatique sur des premières données d'état, des deuxièmes données d'état et des troisièmes données d'état stockées dans l'unité de stockage (9). Lorsque l'unité de réception (10) reçoit des premières données d'état, l'unité de détermination (12) détermine s'il est nécessaire d'envoyer du personnel d'entretien pour réparer le défaut dans ledit dispositif, sur la base de deuxièmes données d'état concernant le dispositif qui a transmis lesdites premières données d'état, et de résultats d'apprentissage générés par l'unité d'apprentissage (11).
PCT/JP2016/088632 2016-12-26 2016-12-26 Système de prise en charge de récupération WO2018122898A1 (fr)

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JP2018558515A JP6620898B2 (ja) 2016-12-26 2016-12-26 復旧支援システム
PCT/JP2016/088632 WO2018122898A1 (fr) 2016-12-26 2016-12-26 Système de prise en charge de récupération
CN201680090517.1A CN110382389B (zh) 2016-12-26 2016-12-26 恢复支持系统

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JP2020083492A (ja) * 2018-11-15 2020-06-04 株式会社日立ビルシステム 繰り返し故障防止装置、繰り返し故障防止システム及び繰り返し故障防止方法

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JPH02300078A (ja) * 1989-05-12 1990-12-12 Mitsubishi Electric Corp エレベーターの監視装置
JPH05221589A (ja) * 1992-02-13 1993-08-31 Toshiba Erebeeta Technos Kk エレベータ監視装置
JP2001250008A (ja) * 1999-12-28 2001-09-14 Ricoh Co Ltd 顧客支援システム、顧客支援方法、顧客支援センター、顧客情報利用システム及び顧客に配置された機器
JP2011201336A (ja) * 2010-03-24 2011-10-13 Hitachi Ltd 移動体異常判断支援システム

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JP2007254039A (ja) 2006-03-20 2007-10-04 Toshiba Elevator Co Ltd エレベータの復旧システム
JP2009053938A (ja) * 2007-08-27 2009-03-12 Toshiba Corp 複数モデルに基づく設備診断システム及びその設備診断方法
JP5229696B2 (ja) * 2011-03-04 2013-07-03 日本電気株式会社 情報処理システム、情報処理装置、その制御方法、及びその制御プログラム、通信環境監視復旧方法

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JPH02300078A (ja) * 1989-05-12 1990-12-12 Mitsubishi Electric Corp エレベーターの監視装置
JPH05221589A (ja) * 1992-02-13 1993-08-31 Toshiba Erebeeta Technos Kk エレベータ監視装置
JP2001250008A (ja) * 1999-12-28 2001-09-14 Ricoh Co Ltd 顧客支援システム、顧客支援方法、顧客支援センター、顧客情報利用システム及び顧客に配置された機器
JP2011201336A (ja) * 2010-03-24 2011-10-13 Hitachi Ltd 移動体異常判断支援システム

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020083492A (ja) * 2018-11-15 2020-06-04 株式会社日立ビルシステム 繰り返し故障防止装置、繰り返し故障防止システム及び繰り返し故障防止方法

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CN110382389B (zh) 2020-08-14
CN110382389A (zh) 2019-10-25
KR20190061051A (ko) 2019-06-04
JP6620898B2 (ja) 2019-12-18
JPWO2018122898A1 (ja) 2019-06-24

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