KR20190061052A - Recovery Support System - Google Patents

Abstract

The recovery support system includes a storage unit 10, a learning unit 12, a reception unit 11, and a determination unit 13. The failure data and the operation data are stored in the storage unit 10. [ The learning section 12 mechanically learns the failure data and the operation data stored in the storage section 10. On the basis of the learning result by the learning unit 12, when the receiving unit 11 receives the failure data, the determining unit 13 needs to dispatch a maintenance source to correct the failure of the device that has transmitted the failure data Or not.

Description

Recovery Support System

This invention relates to a recovery support system.

Patent Document 1 discloses a system for remotely recovering an elevator apparatus after an earthquake has occurred. In the system described in Patent Document 1, when the operation of the elevator apparatus is stopped by an earthquake, a signal indicating that the operation is stopped and a signal indicating the state of the car are transmitted to the monitoring center. In the monitoring center, the received signal is displayed on the indicator. The surveillance center's watcher looks at what is displayed on the indicator and sends a signal to reset the seismic sensor.

Patent Document 1: Japanese Patent Application Laid-Open No. 2007-254039

Patent Document 1 discloses a system for restoring an elevator apparatus whose operation is stopped by an earthquake. When the operation is stopped by an earthquake, the elevator apparatus often fails to fail. Therefore, the elevator apparatus can be easily restored by resetting the seismic sensor.

On the other hand, a failure occurs in the elevator apparatus. When a failure occurs in the elevator apparatus, it is necessary to perform an operation corresponding to a failure that has occurred. This operation includes an extremely simple operation such as restarting the elevator apparatus. Conventionally, it has not been possible to accurately determine whether or not it is necessary to dispatch a maintenance worker to correct a failure when a failure occurs in the elevator apparatus. For this reason, when a failure occurs in the elevator apparatus, the maintenance worker rushes to the site and performs appropriate work.

This problem can also occur in other devices where maintenance personnel need to be dispatched when a failure occurs.

The present invention has been made to solve the above-mentioned problems. SUMMARY OF THE INVENTION It is an object of the present invention to provide a recovery support system capable of accurately determining whether or not it is necessary to dispatch a maintenance worker to repair a failure of the apparatus when a failure occurs in the apparatus.

The recovery support system according to the present invention is characterized in that the recovery support system comprises storage means for storing failure data indicating a failure state of a failed device and operation data indicating a work content performed to repair the failure, A learning means for learning the data mechanically; a receiving means for receiving the failure data; and a control means for, when the receiving means receives the failure data, for correcting the failure of the device which has transmitted the failure data on the basis of the learning result by the learning means And determination means for determining whether or not there is a need to dispatch a maintenance source.

The recovery support system according to the present invention includes a monitoring center, a monitoring center, and a plurality of devices capable of communicating. The monitoring center includes storage means for storing failure data indicating a failure state of the failed device and work data indicating a work content performed to repair the failure, Learning means. Each of the plurality of apparatuses comprising: acquisition means for acquiring failure data; acquisition means for acquiring failure data, wherein, based on the learning result by the learning means, And judging means for judging whether dispatch is necessary or not.

The recovery support system according to the present invention includes, for example, a learning means and a determination means. The learning means mechanically learns the failure data and the operation data stored in the storage means. The determination means determines whether or not it is necessary to dispatch a maintenance source to correct a failure of the apparatus that has transmitted the failure data, based on the learning result by the learning means. With the recovery support system according to the present invention, it is possible to accurately determine whether or not it is necessary to dispatch a maintenance worker to repair a failure of the apparatus when a failure occurs in the apparatus.

1 is a diagram showing an example of a restoration support system according to the first embodiment of the present invention.
2 is a flowchart showing an example of the operation of the recovery support system according to the first embodiment of the present invention.
3 is a diagram showing an example of a learning result.
4 is a flowchart showing another operation example of the recovery support system according to the first embodiment of the present invention.
5 is a diagram for explaining the function of the determination unit.
6 is a diagram for explaining another function of the learning unit and the determination unit.
7 is a flowchart showing another operation example of the recovery support system according to the first embodiment of the present invention.
FIG. 8 is a flowchart showing another operation example of the recovery support system according to the first embodiment of the present invention. FIG.
9 is a diagram for explaining another function of the determination unit and the notification control unit.
10 is a diagram showing another example of the recovery support system.
11 is a diagram showing an example of a recovery support system according to the second embodiment of the present invention.
12 is a flowchart showing an example of the operation of the recovery support system according to the second embodiment of the present invention.
13 is a flowchart showing another operation example of the recovery support system according to the second embodiment of the present invention.
14 is a diagram showing the hardware configuration of the monitoring center.

BRIEF DESCRIPTION OF THE DRAWINGS Fig. Duplicate descriptions may be simplified or omitted as appropriate. In the drawings, the same reference numerals denote the same or corresponding parts.

Embodiment 1

1 is a diagram showing an example of a restoration support system according to the first embodiment of the present invention. The monitoring center 1 is capable of communicating with a plurality of remote elevator devices. Each elevator apparatus includes, for example, an elevator car 2 and a balance weight 3. The elevator car (2) and the balance weight (3) are suspended from the hoistway by the main rope (4). The traction machine includes, for example, a drive sheave 5 and an electric motor 6. [ The main rope 4 is wound on the driving sheave 5. The drive sheave 5 is driven by the electric motor 6. The electric motor (6) is controlled by the control device (7). And the 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 means of a communication device 8.

When a failure occurs in the elevator apparatus, a snapshot of the signal value indicating the state at the time of failure of the elevator apparatus, that is, the trace data, is acquired by the communication device 8. [ The trace data is an example of the fault data described in the claims. For example, a signal for specifying the elevator apparatus itself is included in the trace data. A signal indicating time is included in the trace data. A signal indicating the current value and the voltage value of the control device 7 is included in the trace data. A signal indicating the speed and torque of the electric motor 6 is included in the trace data. 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 illustrated signals need not be included in the trace data. Other signals may be included in the trace data.

The trace data may include a signal represented by a bit string of 0 or 1, a signal represented by a hexadecimal numerical sequence, and a signal represented by a decimal numerical sequence. Signals of various signal lengths may be mixed in the trace data. The digital value and the analog value may be mixed in the trace data.

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

When a failure occurs in the elevator apparatus, a repair source may be dispatched to repair the failure. The maintenance worker performs an appropriate operation in accordance with the occurrence of the failure, and restores the elevator apparatus. When the repair work is completed, the repair worker registers work data from the maintenance terminal 9, for example. The work data is data indicating the contents of the work performed to repair a failure occurring in the elevator apparatus. For example, the job data includes data indicating when and who performed what job. Data indicating the details of the failure occurring in the job data may be included. The work data may include data indicating the replaced part. The registered job data is transmitted from the maintenance terminal 9 to the monitoring center 1.

The monitoring center 1 includes a storage unit 10, a reception unit 11, a learning unit 12, a determination unit 13, a transmission unit 14, and a notification control unit 15, for example. Hereinafter, the functions and operations of the recovery support system will be described in detail with reference to Figs. 2 to 5. Fig. 2 is a flowchart showing an example of the operation of the recovery support system according to the first embodiment of the present invention. 2 shows an example of a learning function of the recovery support system.

The monitoring center 1 determines whether or not trace data has been received (S101). When a failure occurs in any of the elevator apparatuses, trace data is transmitted from the communication apparatus 8 of the elevator apparatus to the monitoring center 1. The trace data transmitted from the communication device 8 is received by the receiving unit 11 in the monitoring center 1 (Yes in S101). The trace data received by the receiving unit 11 is stored in the storage unit 10 (S102).

In the monitoring center 1, it is determined whether or not job data has been received (S103). The maintenance worker transmits work data from the maintenance terminal 9 after the repair of the elevator apparatus is completed. The work data transmitted from the maintenance terminal 9 is received by the receiving unit 11 in the monitoring center 1 (Yes in S103). The work data received by the receiving unit 11 is stored in the storage unit 10 in association with the corresponding trace data (S104). That is, in the storage unit 10, the fault data indicating the fault condition of the elevator apparatus in which the fault has occurred and the operation data indicating the operation details performed to repair the fault are stored in association with each other.

The receiving unit 11 receives trace data from a plurality of elevator apparatuses. The receiving unit 11 receives job data from a plurality of maintenance terminals 9. In the storage unit 10, trace data and work data are accumulated.

The learning unit 12 mechanically learns the failure data and the operation data stored in the storage unit 10. [ In the monitoring center 1, it is judged whether or not it is the learning timing (S105). The learning timing is set in advance. If the learning timing is determined in S105, the learning is performed by the learning unit 12, and the learning result is output (S106). As an example, the learning unit 12 outputs a determination criterion as a learning result.

For example, the trace data stored in the storage unit 10 is classified in advance into the first group and the second group. The first group contains the trace data of the case where the repairer could recover without going to the scene. For example, the trace data of the case where the elevator apparatus is restored by restarting the elevator apparatus from the monitoring center 1 is classified into the first group. In addition, the first group includes the trace data of the case where the conservator went to the site, but the repairer did not go to the site but recovered. For example, the trace data of the case where the elevator apparatus is restored only when the maintenance worker restarts the elevator apparatus in the field is classified into the first group.

On the other hand, the second group includes trace data of a case in which the repair source could not be recovered without going to the scene. For example, the trace data of the case in which the elevator apparatus is restored by replacing the parts in the field by the maintenance worker is classified into the second group. The classification of the trace data is performed based on, for example, the operation data. A classification flag such as " recovery by restart only " and " occurrence of part exchange " may be prepared in advance in the job data transmitted from the maintenance terminal 9. In this case, the trace data can be classified based on the classification flag. In the case where the contents freely described by the maintenance personnel are included in the job data, the trace data may be classified based on the description of the technique, for example, by a technique such as text mining.

The learning unit 12 determines a criterion for the trace data classified into two groups by using techniques such as supervised learning or clustering. Examples of such techniques include support vector machines, deep runs, and hierarchical clustering. 3 is a diagram showing an example of a learning result. The horizontal axis in FIG. 3 is a value of a signal included in the trace data. 3 is the value of another signal included in the trace data. The black circles shown in Fig. 3 represent trace data classified into the first group. The white circles shown in Fig. 3 represent trace data classified into the second group. The learning unit 12 may output the equation of the boundary line such as the straight line A as the learning result. Line A shows an example of the learning result obtained using the support vector machine. The learning unit 12 may output the standard deviation for specifying the area B1 and the area B2 as a learning result. The learning unit 12 may output the center point C1 and the center point C2 as learning results.

Fig. 3 shows an example in which the determination criterion is determined based on the values of two signals included in the trace data, as a simplest example. Since a plurality of signals are included in the trace data, the same learning may be performed by treating the trace data as a multidimensional vector.

4 is a flowchart showing another operation example of the recovery support system according to the first embodiment of the present invention. 4 shows an example of the judgment function of the recovery support system.

The monitoring center 1 determines whether or not trace data has been received (S201). When a failure occurs in any of the elevator apparatuses, trace data is transmitted from the communication apparatus 8 of the elevator apparatus to the monitoring center 1. The trace data transmitted from the communication device 8 is received by the receiving unit 11 in the monitoring center 1 (Yes in S201).

When the receiving unit 11 receives the trace data, the determining unit 13 determines whether it is necessary to dispatch a maintenance source to correct the failure of the elevator apparatus that has transmitted the trace data (S202). The judgment section (13) makes the judgment based on the learning result by the learning section (12). When the learning unit 12 outputs a determination criterion as a learning result, the determination unit 13 makes the determination based on a determination criterion determined by, for example, the learning unit 12. [

5 is a diagram for explaining the function of the determination section 13. For example, a case where the learning section 12 outputs a straight line A as a learning result is considered. The determining section 13 determines that the trace data is closer to the trace data classified into the first group than the trace data classified into the second group if the coordinates indicating the trace data to be determined are located on the upper side of the straight line A. For example, the determining section 13 determines that it is not necessary to dispatch a repair source when the coordinate D indicating the trace data received by the receiving section 11 in the S201 is above the straight line A. On the other hand, when the coordinates indicating the trace data to be determined are located lower than the straight line A, the determination section 13 determines that the trace data is closer to the trace data classified into the second group than the trace data classified into the first group . For example, the determination section 13 determines that it is necessary to dispatch a repair source if the coordinate D indicating the trace data received by the receiving section 11 is lower than the straight line A in S201.

The judging method of the judging unit 13 may be appropriately adopted in accordance with the judging criteria determined by the learning unit 12. [ For example, the determining section 13 may determine whether the coordinate D indicating the trace data received by the receiving section 11 in S201 is included in the area B1. When the coordinate D is included in the area B1, the judgment section 13 judges that it is not necessary to dispatch a repair source. If the coordinate D is not included in the area B1, the judgment part 13 judges that it is necessary to dispatch a repair source. The determining section 13 may output that the coordinate D can not be judged if it is not included in both the area B1 and the area B2.

As another example, the determining section 13 may compare the distance between the coordinate D and the center point C1 indicating the trace data received by the receiving section 11 in S201, and the distance between the coordinate D and the center point C2. When the distance between the coordinate D and the center point C1 is shorter than the distance between the coordinate D and the center point C2, the determination section 13 determines that it is not necessary to dispatch a conservator. When the distance between the coordinates D and the center point C1 is longer than the distance between the coordinates D and the center point C2, the determining section 13 determines that it is necessary to dispatch a conservator.

The determination section 13 may output a continuous value instead of a binary value for dispatching a maintenance source or not dispatching a maintenance source as the determination result. For example, the determination section 13 may output the probability of dispatching a maintenance source, and the like. The determining section 13 may calculate the probability based on the distance between the coordinates D and the center point C1 and the distance between the coordinates D and the center point C2. The determining section 13 may calculate the probability step by step. The determining section 13 may normalize the distance using the standard deviation.

If it is determined by the determination section 13 that there is no need to dispatch a maintenance source, the notification control section 15 causes the determination section 13 to inform the alarm 21 of the result determined in S202 (S203). The alarm 21 is provided in the monitoring center 1, for example. If it is determined by the determination section 13 that there is no need to dispatch a maintenance source, the transmission section 14 transmits a command for causing the elevator apparatus that has transmitted the trace data to perform an operation necessary for correcting the failure S204). In the elevator apparatus that receives the command, an operation necessary for correcting the failure is performed. For example, in the elevator apparatus that receives the command, the restart is performed.

If it is determined by the determination section 13 that the maintenance worker needs to be dispatched, the notification control section 15 causes the determination section 13 to inform the alarm 21 of the result determined in S202 (S205). When it is determined by the determination section 13 that the maintenance source needs to be dispatched, the transmission section 14 transmits the dispatch instruction of the maintenance source to the maintenance source base or the like (S206).

According to the example shown in this embodiment, it is possible to accurately determine whether or not it is necessary to dispatch a repair source to repair a failure of the elevator apparatus when a failure occurs in the elevator apparatus. In particular, in the example shown in the present embodiment, machine learning is performed using both the failure data and the job data stored in the storage section 10. [ It is possible to make a determination based on a large number of cases in the past, so that the accuracy of determination can be improved.

In the example shown in Fig. 4, in S204, a command for performing an operation necessary for fixing the fault is automatically transmitted. This is an example. When it is determined as No in S202, only the determination result may be notified. In this case, the command is transmitted at the discretion of the monitor.

In the example shown in Fig. 4, the dispatch request of the maintenance source is automatically performed in S206. This is an example. When it is determined Yes in S202, only the determination result may be notified. In this case, the dispatch request of the maintenance worker is made at the discretion of the supervisor.

In the example shown in Fig. 4, if it is determined No in S202, both the processing of S203 and the processing of S204 are performed. This is an example. In the case where the automatic transmission of the command is performed in S204, the processing of S203 may not be performed. Similarly, in the example shown in Fig. 4, if it is determined Yes in S202, both the processing of S205 and the processing of S206 are performed. This is an example. When the dispatch request of the maintenance worker is automatically performed in S206, the processing of S205 may not be performed.

Fig. 6 is a diagram for explaining other functions of the learning unit 12 and the determination unit 13. Fig. 6 shows an example in which the learning unit 12 determines a plurality of determination criteria as a learning result. In the example shown in Fig. 6, the learning unit 12 determines the straight line A1, the straight line A2, and the straight line A3 as the determination reference. 6 shows an example. The number of judgment criteria determined by the learning unit 12 may be two or four or more. The learning unit 12 mechanically learns the data stored in the storage unit 10 to determine a plurality of determination criteria.

Symbols painted black in FIG. 6 represent trace data classified into the first group. The white circles shown in Fig. 6 represent trace data classified into the second group. The straight line A1 shown in Fig. 6 is the same as the straight line A shown in Fig. A straight line A1 is a boundary between the trace data classified into the first group and the trace data classified into the second group.

The straight line A2 and the straight line A3 are boundary lines for further finely dividing the trace data classified into the first group. For example, in FIG. 6, a symbol drawn in black indicates trace data of a case recovered only by restarting. Among them, the black circle represents the trace data of the case where the failure again occurs within one week after the restart. The black triangle shows the trace data of the case where the failure did not occur in one week after restart but the failure again occurred within one month after restart. The black rectangle represents the trace data of the case where the failure did not occur for one month after restarting. Line A2 is the boundary between the black circle and the black triangle. The straight line A3 is the boundary line between the black triangle and the black rectangle.

In order for the learning section 12 to determine the straight line A2 and the straight line A3, data of an interval at which a failure occurs in each elevator apparatus is required. For example, data on the elapsed time since the occurrence of the failure last time is stored in the storage unit 10.

7 is a flowchart showing another operation example of the recovery support system according to the first embodiment of the present invention. 7 shows an example of the judgment function of the recovery support system. The processing in S301 and S302 in Fig. 7 is the same as the processing in S201 and S202 in Fig. When the receiving unit 11 receives the trace data, the determining unit 13 determines whether it is necessary to dispatch a repair source to correct the failure of the elevator apparatus that has transmitted the trace data (S302). The judgment section (13) makes the judgment based on the learning result by the learning section (12). 6, the judging section 13 makes the judgment on the basis of the straight line A1 determined by the learning section 12.

If it is not necessary to dispatch a repair source, the judging unit 13 judges a time when a failure occurs again in the elevator apparatus (S307). The judgment section (13) makes the judgment based on the judgment criterion determined by the learning section (12). 6, the judging section 13 makes the judgment of S307 on the basis of the straight line A2 and the straight line A3. For example, when the trace data indicated by the coordinate D in S301 is received, the determining section 13 determines that it is not necessary to dispatch a repair source based on the straight line A1. Since the determination section 13 is disposed between the straight line A2 and the straight line A3, the determination section 13 determines that the failure is estimated to be within one month after one week.

When the determination unit 13 determines that the failure is estimated by the determination unit 13, the notification control unit 15 causes the determination unit 13 to inform the alarm 21 of the results determined in S302 and S307 (S303). If it is determined by the determining unit 13 that the failure is estimated, the transmitting unit 14 transmits a command for performing the necessary operation to correct the failure to the elevator apparatus that has transmitted the trace data (S304). In the elevator apparatus that receives the command, an operation necessary for correcting the failure is performed. For example, in the elevator apparatus that receives the command, the restart is performed.

On the other hand, if it is determined by the determination section 13 that the maintenance worker needs to be dispatched, the notification control section 15 causes the determination section 13 to inform the alarm 21 of the result determined in S302 (S305). If it is determined by the determination section 13 that the maintenance source needs to be dispatched, the transmission section 14 transmits the dispatch instruction of the maintenance source to the maintenance source base or the like (S306).

Fig. 6 shows an example in which the learning unit 12 determines the straight line A1, the straight line A2, and the straight line A3 as the determination reference. This is an example. The learning unit 12 may output a standard deviation or a center point as a learning result. The trace data may be grouped for each failure occurrence factor to determine the determination criterion. The learning unit 12 may output both the determination criterion based on the failure recurrence timing and the determination criterion based on the failure occurrence factor.

Fig. 6 shows an example in which the judging unit 13 outputs a binary value for dispatching a repair source as a judgment result or not dispatching a repair source. This is an example. The determination section 13 may output a continuous value as a determination result. For example, the judging section 13 may judge that the probability of failure "P 1% within one week" and "the probability P 2% in which failure occurs again within one month". The judging section 13 judges that the probability of occurrence of a failure again within one week due to a specific factor P3% and the probability of occurrence of a failure again within one week due to a factor other than the specific factor P4% do.

6 and Fig. 7, it is possible to determine, for example, when failure occurs again when a repair source is not dispatched. Therefore, it is possible to take other measures such as preparing replacement parts in advance.

FIG. 8 is a flowchart showing another operation example of the recovery support system according to the first embodiment of the present invention. FIG. 8 shows an example of the judgment function of the recovery support system. FIG. 9 is a diagram for explaining another function of the determination unit 13 and the notification control unit 15. FIG. The processing in S401 and S402 in Fig. 8 is the same as the processing in S201 and S202 in Fig. When the receiving unit 11 receives the trace data, the judging unit 13 judges whether it is necessary to dispatch a repair source to correct the failure of the elevator apparatus that has transmitted the trace data (S402). The judgment section (13) makes the judgment based on the learning result by the learning section (12). 9, the determination section 13 makes the determination in S402 based on the straight line A determined by the learning section 12. [

If it is not necessary to dispatch a repair source, the judging unit 13 judges the occurrence of a failure occurring in the elevator apparatus (S408). For example, the determining section 13 specifies how the trace data received by the receiving section 11 in the step S401 has changed from the trace data received by the receiving section 11 in the past from the same elevator device to the judgment standard . In the example shown in Fig. 9, it is specified that the coordinate indicating the trace data is approaching the straight line A. Namely, it is specified that the elevator apparatus is in a deterioration tendency.

In order for the judging section 13 to specify the change, past judging data is required for each elevator apparatus. For example, when the determination by the determination unit 13 is made, the determination result is stored in the storage unit 10. [

When the determination by the determination unit 13 is made, the notification control unit 15 causes the determination unit 13 to inform the alarm 21 of the result determined in S402 and the result specified in S408 (S403). In step S403, the notification control unit 15 may display a graph as shown in Fig. 9 on a display device. When the determination by the determination unit 13 is made, the transmission unit 14 transmits a command for performing an operation necessary for correcting the failure to the elevator apparatus that has transmitted the trace data (S404). In the elevator apparatus that receives the command, an operation necessary for correcting the failure is performed. For example, in the elevator apparatus that receives the command, the restart is performed.

On the other hand, if it is determined by the determination section 13 that the maintenance source needs to be dispatched, the notification control section 15 causes the determination section 13 to inform the alarm 21 of the result determined in S402 (S405). If it is determined by the determination section 13 that the maintenance source needs to be dispatched, the transmission section 14 transmits the dispatch instruction of the maintenance source to the maintenance source base or the like (S406).

10 is a diagram showing another example of the recovery support system. 10 shows an example of the monitoring center 1. In the example shown in Fig. 10, unique data is stored in the storage unit 10 in addition to the fault data and the operation data. The inherent data includes data that does not change in the value of the data concerning the elevator apparatus. The unique data includes data in which values such as the number of years of installation do not change instantaneously. As the inherent data, in addition to the installation years, for example, the installation environment of the elevator apparatus, the number of the buildings, the maximum number of passengers, and the model are stored in the storage unit 10. The unique data is not limited to these examples. The storage unit 10 stores unique data for each elevator apparatus.

In this case, the learning unit 12 also uses the unique data stored in the storage unit 10 to perform the machine learning. The learning unit 12 may group the trace data for each type of machine, installation year or installation environment to determine the determination criterion.

When the receiving unit 11 receives the trace data, the judging unit 13 judges whether it is necessary to dispatch a repair source to correct the failure of the elevator apparatus that has transmitted the trace data. In the example shown in Fig. 10, the judging section 13 makes the judgment based on, for example, the inherent data of the elevator device stored in the storage section 10 and the learning result by the learning section 12. [ For example, it is assumed that the probability of a failure occurring again within one week after rebooting is 5% for each year when the installation year is increased. In this case, the judging unit 13 can calculate the criterion of the apparatus whose installation year is 20 years from the criterion of the apparatus whose installation period is 15 years, from the criterion of the apparatus whose installation period is 15 years. The judging unit 13 may calculate the judgment standard of the apparatus whose installation year is 0 years from the judgment standard of the apparatus whose installation year is 10 years for the apparatus.

As another example, it is assumed that the learning result as shown in the following equation is obtained with respect to the probability of occurrence of failure again within one week after restarting.

(Probability of occurrence in model α) = (probability of occurrence in model β) × F (x)

Here, x is vectorized trace data. F (x) is a conversion formula calculated by the learning unit 12. [ In this case, the determining section 13 can calculate the probability of occurrence of the model? From the probability of occurrence of the model?.

10, it is possible to accurately determine whether or not it is necessary to dispatch a maintenance source even when the receiving unit 11 receives trace data from a newly installed elevator apparatus, for example.

Embodiment 2 Fig.

11 is a diagram showing an example of a recovery support system according to the second embodiment of the present invention. In the present embodiment, an example will be described in which the monitoring center 1 performs the learning function disclosed in the first embodiment and each elevator apparatus performs the determination function.

The monitoring center 1 includes a storage unit 10, a receiving unit 11, a learning unit 12, and a transmitting unit 14, for example. Each elevator apparatus includes, for example, an acquisition unit 16, a transmission unit 17, a reception unit 18, a storage unit 20, a determination unit 13, a notification control unit 15, and an operation control unit 19 . The acquisition unit 16, the transmission unit 17, the reception unit 18, the storage unit 20, the determination unit 13, and the notification control unit 15 are provided in, for example, The operation control unit 19 is provided in the control device 7, for example. Hereinafter, the functions and operations of the recovery support system will be described in detail.

12 is a flowchart showing an example of the operation of the recovery support system according to the second embodiment of the present invention. 12 shows an example of a learning function of the recovery support system. Fig. 12 shows an operational example of each elevator apparatus. In the elevator apparatus, it is determined whether trace data has been acquired (S501). For example, when a failure occurs in the elevator apparatus, the acquisition unit 16 acquires trace data (Yes in S501). The transmission unit 17 transmits the trace data acquired by the acquisition unit 16 to the monitoring center 1 (S502).

In the monitoring center 1, the same operation as that shown in Fig. 2 is performed. That is, the monitoring center 1 determines whether or not trace data has been received (S101). The trace data transmitted by the transmitting unit 17 is received by the receiving unit 11 in the monitoring center 1. The trace data received by the receiving unit 11 is stored in the storage unit 10 (S102).

In the monitoring center 1, it is determined whether or not job data has been received (S103). The work data transmitted from the maintenance terminal 9 is received by the receiving unit 11 in the monitoring center 1. [ The task data received by the receiving unit 11 is stored in the storage unit 10 in association with the corresponding trace data (S104). In the storage unit 10, trace data and work data are accumulated.

In the monitoring center 1, it is determined whether or not it is the learning timing (S105). If the learning timing is determined in S105, the learning is performed by the learning unit 12, and the learning result is output (S106). The learning unit 12 mechanically learns the failure data and the operation data stored in the storage unit 10. [ As an example, the learning unit 12 outputs a determination criterion as a learning result. The transmitting unit 14 transmits the learning result by the learning unit 12 to each elevator apparatus.

In the elevator apparatus, it is determined whether or not the learning result by the learning unit 12 is received from the monitoring center 1 (S503). The learning result transmitted by the transmitting unit 14 is received by the receiving unit 18 in the elevator apparatus (Yes in S503). The learning result received by the receiving unit 18 is stored in the storage unit 20 (S504).

13 is a flowchart showing another operation example of the recovery support system according to the second embodiment of the present invention. 13 shows an example of the judgment function of the recovery support system. Fig. 13 shows an operational example of each elevator apparatus.

In the elevator apparatus, it is determined whether or not the trace data has been acquired (S601). For example, when a failure occurs in the elevator apparatus, the acquisition unit 16 acquires trace data (Yes in S601). When the acquisition unit 16 acquires the trace data, the determination unit 13 determines whether or not a repair source dispatch is necessary to correct the failure when the trace data is acquired (S602). The judgment section 13 makes the judgment based on the learning result stored in the storage section 20 in S504.

If the determination section 13 determines that dispatch of a maintenance worker is not necessary, the notification control section 15 causes the determination section 13 to inform the alarm 21 of the result determined in step S602 (S603). The alarm 21 is provided in, for example, an elevator apparatus. If it is determined by the determination section 13 that dispatch of a maintenance worker is not required, the operation control section 19 causes each device to perform an operation necessary for repairing the failure (S604). For example, the operation control section 19 performs restarting.

On the other hand, if it is determined by the determination section 13 that the dispatch of the maintenance personnel is necessary, the notification control section 15 causes the determination section 13 to inform the alarm 21 of the result determined in S602 (S605). If the determination unit 13 determines that the dispatch of the maintenance source is necessary, the transmission unit 17 transmits the dispatch instruction of the maintenance source to the maintenance source base or the like (S606).

According to the example shown in this embodiment, it is possible to accurately determine whether or not it is necessary to dispatch a repair source to repair a failure of the elevator apparatus when a failure occurs in the elevator apparatus. In the example shown in this embodiment, the load on the monitoring center 1 can be reduced. In the example shown in this embodiment, it is possible to determine the necessity of dispatching a repair source in the elevator apparatus even if the elevator apparatus and the monitoring center 1 are disconnected due to a disaster or a power failure. In S604, it is also possible to perform automatic restoration of the elevator apparatus.

In the example shown in Fig. 13, the operation necessary for correcting the failure is automatically performed in S604. This is an example. When it is determined as No in S602, only the determination result may be notified. In this case, the operation is performed, for example, at the discretion of the manager of the building.

In the example shown in Fig. 13, the dispatch request of the maintenance source is automatically performed in S606. This is an example. When it is determined Yes in S602, only the determination result may be notified. In this case, the dispatch request of the maintenance worker is made, for example, at the discretion of the manager of the building.

In the example shown in Fig. 13, when it is determined No in S602, both the processing of S603 and the processing of S604 are performed. This is an example. If the operation necessary for correcting the failure is automatically performed in S604, the process of S603 may not be performed. Similarly, in the example shown in Fig. 13, if it is determined Yes in S602, both the process of S605 and the process of S606 are performed. This is an example. If the dispatch request of the maintenance source is automatically performed in S606, the process of S605 may not be performed.

Any function and operation disclosed in Embodiment Mode 1 may be employed for functions and operations not specifically disclosed in the present embodiment.

For example, the learning unit 12 may determine a plurality of determination criteria as learning results. In this case, when the acquisition unit 16 acquires the trace data, the determination unit 13 determines whether or not dispatching of the repair source is necessary based on the determination criterion determined by the learning unit 12. If the determination section 13 does not need to dispatch a repair source, the determination section 13 determines, based on another determination criterion determined by the learning section 12, a timing at which the failure occurs again.

As another example, when it is not necessary to dispatch a repair source, the determination section 13 determines whether the trace data acquired by the acquisition section 16 in step S601 is included in the trace data acquired by the acquisition section 16 in the past And specify how it has changed. In this case, when the determination by the determination unit 13 is made, the determination result is stored in the storage unit 20. [ The notification control unit 15 may inform the alarming unit 21 of the result specified by the determination unit 13. [

As another example, in addition to the failure data and the operation data, the storage unit 10 may store unique data of each elevator apparatus. In this case, the learning unit 12 also uses the unique data stored in the storage unit 10 to perform the machine learning. For example, the learning unit 12 groups the trace data for each type of machine, installation year or installation environment, and determines a determination criterion.

In the first and second embodiments, an example has been described in which the elevator apparatus is connected to the monitoring center 1. The apparatus connected to the monitoring center 1 is not limited to the elevator apparatus. Another device that is repaired by a maintenance source may be connected to the monitoring center 1.

In Embodiments 1 and 2, an example has been described in which trace data is acquired by the communication device 8 when a failure occurs in the elevator apparatus. In addition to the occurrence of a failure, the communication device 8 may acquire trace data at all times or at regular intervals. That is, the communication device 8 may acquire trace data at the normal time. Also in this case, when the communication device 8 acquires the trace data, it transmits the acquired trace data to the monitoring center 1. [ Also, the trace data may include data indicating the contents of the operation performed in the elevator apparatus. For example, a signal indicating a command to the electric motor 6 from the control device 7 may be included in the trace data.

In Embodiment 1, the leg portions denoted by reference numerals 10 to 15 denote the functions of the monitoring center 1. Fig. 14 is a diagram showing a hardware configuration of the monitoring center 1. Fig. The monitoring center 1 has a processing circuit including, for example, a processor 22 and a memory 23 as hardware resources. The functions of the storage unit 10 are realized by the memory 23. [ The monitoring center 1 executes the programs stored in the memory 23 by the processor 22 to implement the functions of the respective parts denoted by reference numerals 11 to 15.

In Embodiment 2, the leg portions denoted by reference numerals 10 to 12 and 14 denote the functions of the monitoring center 1. The hardware configuration of the monitoring center 1 in the second embodiment is the same as that shown in Fig. The monitoring center 1 has a processing circuit including, for example, a processor 22 and a memory 23 as hardware resources. The functions of the storage unit 10 are realized by the memory 23. [ The monitoring center 1 executes the programs stored in the memory 23 by the processor 22 to realize the functions of each of the parts denoted by reference numerals 11, 12 and 14. [

In the second embodiment, the reference numerals 13 and 15 to 20 denote the functions of the elevator apparatus. The hardware configuration of the elevator apparatus in the second embodiment is the same as that shown in Fig. Each elevator device has hardware resources, for example a processing circuit comprising a processor and a memory. The function of the storage unit 20 is realized by a memory. The elevator apparatus executes the programs stored in the memory by the processor to implement the functions of each of the components indicated by reference numerals 13 and 15 to 19. [

The processor 22 provided in the monitoring center 1 and the processor included in the elevator apparatus are also referred to as a CPU (Central Processing Unit), a central processing unit, a processing unit, a computing unit, a microprocessor, a microcomputer, or a DSP. A semiconductor memory, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, or a DVD may be employed as the memory provided in the memory 23 and the elevator apparatus provided in the monitoring center 1. Examples of the semiconductor memory that can be employed include a RAM, a ROM, a flash memory, an EPROM, and an EEPROM.

Some or all of the functions of the monitoring center 1 may be realized by hardware. As the hardware for realizing the functions of the monitoring center 1, a single circuit, a composite circuit, a programmed processor, a parallelized programmed processor, an ASIC, an FPGA, or a combination thereof may be employed. Similarly, some or all of the functions of the elevator apparatus may be realized by hardware. As the hardware for realizing the function of the elevator apparatus, a single circuit, a composite circuit, a programmed processor, a parallelized programmed processor, an ASIC, an FPGA, or a combination thereof may be employed.

Industrial availability

The recovery support system according to the present invention can be used to determine whether or not it is necessary to dispatch a maintenance personnel to repair a failure of the apparatus.

1: Monitoring center 2: Elevator car
3: Balance weight 4: Main rope
5: Driving sheave 6: Electric motor
7: Control device 8: Communication device
9: Maintenance terminal 10:
11: Receiving unit 12: Learning unit
13: Judgment section 14: Transmitting section
15: notification control unit 16:
17: Transmitter 18: Receiver
19: Operation control unit 20:
21: alarm 22:
23: Memory

Claims (11)

Storage means for storing fault data indicating a fault state of the faulty apparatus and operation data indicating operation contents performed for repairing the fault,
Learning means for mechanically learning failure data and job data stored in the storage means;
Receiving means for receiving fault data,
And a determining unit that determines whether or not it is necessary to dispatch a repair source to correct a failure of the apparatus that has transmitted the failure data based on the learning result by the learning unit when the receiving unit receives the failure data One recovery support system. The method according to claim 1,
Wherein the learning means determines a first determination criterion and a second determination criterion as learning results,
The determination means
Wherein when the receiving means receives the failure data, it is judged based on the first judgment criterion whether or not it is necessary to dispatch a repair source to correct a failure of the device that has transmitted the failure data,
And when it is not necessary to dispatch a repair source, a time when a failure occurs again in the apparatus that has transmitted the failure data is determined based on the second determination criterion. The method according to claim 1 or 2,
A command for causing an operator to perform an operation necessary for repairing a failure is judged by the judging means when it is judged by the judging means that there is no need to dispatch a repair source for repairing a failure of the apparatus that has transmitted the failure data, And a transmission means for transmitting the data. The method according to claim 1,
Further comprising notification control means,
Wherein the learning means determines a determination criterion as a learning result,
Wherein the notification control means is configured to notify, when the receiving means receives the failure data, how the failure data has changed from the failure data received in the past by the receiving means from the device which has transmitted the failure data, To the system. The method according to any one of claims 1 to 4,
The receiving means receives the failure data from a plurality of devices,
And the failure data received by the receiving means is stored in the storage means. A monitoring center,
And a plurality of devices capable of communicating with the monitoring center,
The monitoring center
Storage means for storing fault data indicating a fault state of the faulty apparatus and operation data indicating operation contents performed for repairing the fault,
And learning means for performing machine learning of the failure data and the operation data stored in the storage means,
Each of the plurality of devices comprising:
An obtaining means for obtaining fault data;
And a determination means for determining whether or not dispatch of a repair source is necessary to correct a failure when the failure data is acquired based on the learning result by the learning means when the acquisition means acquires the failure data system. The method of claim 6,
Wherein the learning means determines a first determination criterion and a second determination criterion as learning results,
The determination means
Wherein when the acquisition means acquires the failure data, it is determined based on the first determination criterion whether or not the repair source dispatch is necessary to correct the failure when the failure data is acquired,
And when the dispatch of a maintenance worker is not necessary, a time when a failure occurs again is determined based on the second determination criterion. The method according to claim 6 or 7,
Wherein each of the plurality of apparatuses further comprises an operation control means,
Wherein said operation control means causes said operation means to perform an operation necessary for correcting a failure when said determination means determines that dispatch of a maintenance source is not necessary to correct a failure when failure data is acquired. The method of claim 6,
Wherein each of the plurality of devices further comprises notification control means,
Wherein the learning means determines a determination criterion as a learning result,
Wherein said notification control means notifies, from said alarm, how said fault data has changed from said fault data obtained in the past by said obtaining means to said judgment reference when said obtaining means obtains fault data. The method according to any one of claims 6 to 9,
Wherein each of the plurality of devices further comprises transmission means for transmitting the failure data acquired by the acquisition means to the monitoring center. The method according to any one of claims 1 to 10,
The unique data of the device is stored in the storage means in association with the failure data of the device,
And said learning means performs machine learning using also the unique data stored in said storage means.

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