JP2023079804A - Dispatch planning system, control method, and program - Google Patents

Abstract

To make a dispatch plan with high accuracy considering an operating state of a facility not to be remotely monitored at occurrence of a disaster.SOLUTION: A dispatch planning system (10) comprises: a first operating state acquisition unit (11) that acquires an operating state of a facility to be monitored; an estimating unit (52) that estimates a probability of the operating state of a facility not to be monitored; a second operating state acquisition unit (17) that acquires an operating state provided from a monitor terminal for the operating state of the facility not to be monitored in which the probability is equal to or more than a first threshold and less than a second threshold; a restoration target specification unit (14) that specifies a restoration target from elevator facilities; and a search unit (12) that searches for an optimal dispatch plan defining the combination of the restoration targets to which groups are scheduled to be dispatched and the order of dispatch for each of the groups. The restoration target specification unit specifies, as the restoration targets, a facility the operating state of which is acquired by the first operating state acquisition unit, a facility in which the probability of the operating state is estimated to be equal to or more than the second threshold by the estimating unit, and a facility the operating state of which is acquired by the second operating state acquisition unit.SELECTED DRAWING: Figure 3

Description

The present invention relates to a system, a control method, and a program for making a dispatch plan for dispatching a worker to a restoration target where an event requiring restoration work has occurred.

Patent Literature 1 discloses a wide-area disaster recovery support system for elevators capable of predicting the stoppage of elevators due to an earthquake.

Japanese Patent No. 6122787

In the event of a disaster such as an earthquake that causes many elevators to stop or break down at the same time over a wide area, a dispatch plan stipulates the recovery targets and the order of dispatch for each work group that normally performs restoration work. Secondment of each working group will be arranged according to the Elevator facilities include those whose operating conditions can be grasped in real time by remote monitoring, and those whose operating conditions cannot be grasped until they are contacted by telephone or the like because they are not subject to remote monitoring. Therefore, especially in the initial stage after a disaster occurs, it is difficult to quickly grasp the overall picture of the elevator equipment that has stopped, and the secondment plan drawn up at this stage may lack accuracy.

An object of one aspect of the present invention is to formulate a highly accurate dispatch plan that takes into consideration the operating status of facilities not subject to remote monitoring when a disaster occurs.

In order to solve the above-described problems, a staffing planning system according to an aspect of the present invention acquires the operating status of a monitoring target facility, which is the elevator facility capable of remotely monitoring the operating status among a plurality of elevator facilities located at different locations. a first operating status acquiring unit, an estimating unit that estimates the probability of the operating status of non-monitored equipment that is the elevator equipment that cannot remotely monitor the operating status of the elevator equipment, and the probability is greater than or equal to a first threshold and a second a second operating status acquisition unit that acquires the operating status of the non-monitored facility that is less than a threshold value provided from a supervisor terminal of a supervisor who can monitor the non-monitored facility; and a recovery target specifying unit that specifies the recovery target from the recovery target, and the combination of the recovery target that the group consisting of one or more workers to perform the recovery work is scheduled to be seconded. a search unit that searches for an optimal seconding plan that is a solution or a quasi-optimal solution, and the restoration target identification unit includes the monitoring target equipment whose operating status is acquired by the first operating status acquiring unit, and the estimating unit and the non-monitoring equipment whose operating condition probability is estimated to be equal to or greater than the second threshold by the second operating condition acquisition unit, and the non-monitoring equipment whose operating condition is acquired by the second operating condition acquisition unit, are specified as restoration targets. .

In order to solve the above-described problems, a control method according to an aspect of the present invention is a control method executed by one or more information processing devices, in which operating conditions of a plurality of elevator installations located at different locations are remotely controlled. A first operating status acquisition step of acquiring the operating status of the monitored equipment that is the elevator equipment that can be monitored, and the probability of the operating status of the non-monitored equipment that is the elevator equipment that cannot be remotely monitored among the elevator equipment. An estimation step of estimating, and an operation status provided from a supervisor terminal of a supervisor capable of monitoring the non-monitored facility with respect to the operating status of the non-monitored facility whose probability is equal to or greater than a first threshold and less than a second threshold. a recovery target identification step of specifying a restoration target from among the elevator equipment; and a restoration work group consisting of one or more workers scheduled to be seconded to the restoration target. and a search step of searching for an optimum dispatch plan that is an optimum solution or a quasi-optimal solution of the dispatch plan in which the combinations of and the order of dispatch are determined for each group, and the recovery target identifying step includes the first operating status acquisition step and the non-monitoring equipment whose operating status probability is estimated to be equal to or greater than the second threshold in the estimation step, and the operating status is acquired by the second operating status acquisition step. and the non-monitored equipment that has been monitored is specified as the recovery target.

The secondment planning system according to each aspect of the present invention may be realized by a computer. In this case, the secondment planning system is realized by the computer by operating the computer as each part (software element) included in the secondment planning system. The program of the secondment planning system and the computer-readable recording medium recording it are also included in the scope of the present invention.

According to one aspect of the present invention, it is possible to formulate a highly accurate dispatch plan that takes into account the operational status of facilities not subject to remote monitoring when a disaster occurs.

1 is a block diagram showing an outline of a maintenance system; FIG. It is a flowchart which shows the process which a secondment support system performs. It is a block diagram which shows the principal part structure of a secondment planning system. 1 is a block diagram showing an example of a schematic configuration of a driving situation estimation device; FIG. FIG. 4 is a diagram showing an example of a data structure of a first driving situation; FIG. FIG. 4 is a diagram showing an example of a data structure of estimated driving conditions; FIG. 10 is a diagram illustrating an example of the data structure of a restoration target list; It is a figure which shows an example of the procedure of the search which a search part performs. It is a figure which shows an example of the procedure of the search which a search part performs. It is a figure which shows an example of the data structure of an optimal secondment plan. It is a figure which shows an example of a temporary transfer plan screen. 1 is a block diagram partially showing the configuration of a driving situation estimation device; FIG. It is a figure which shows an example of the data structure of operation log information. It is a figure which shows an example of the data structure of boarding status information. FIG. 4 is a diagram showing an example of a data structure of estimated driving conditions; FIG. 5 is a diagram showing an example of a data structure of a second driving situation; FIG. FIG. 10 is a diagram illustrating an example of the data structure of a restoration target list; 4 is a sequence diagram showing the flow of processing executed by the maintenance system; FIG. It is a block diagram showing an example of the hardware constitutions of the system of the present invention.

[Embodiment 1]
<Overview of maintenance system>
An embodiment of the present invention will be described in detail below. FIG. 1 is a block diagram showing an overview of a maintenance system 1000. As shown in FIG. The maintenance system 1000 is a system for supporting recovery work for a plurality of recovery targets at different locations where an event requiring recovery work has occurred. In this embodiment, restoration targets are typically elevator equipment such as passenger conveyors and elevators. An example of an event that requires recovery work is a stoppage or failure of elevator equipment.

Maintenance system 1000 includes at least dispatch support system 100 . The dispatch support system 100 communicates with other devices such as the front-end system 1, the damage information providing system 200, the map information providing system 300, the office device 2, and the terminal device 3 via a communication network such as the Internet. Connected for communication.

(Regarding secondment support system)
In the maintenance system 1000, the dispatch support system 100 has a function of dispatching each of work groups (hereinafter simply referred to as "groups") that perform restoration work on a plurality of restoration targets. The dispatch support system 100 has, as an example, a dispatch plan planning function for formulating a dispatch plan for dispatching each group to a plurality of restoration targets. A configuration group of hardware and software for realizing this transfer planning function is referred to as a transfer planning system 10 . Details of the configuration of the secondment planning system 10 will be described later in this embodiment.

The dispatch planning system 10 according to this embodiment may include a driving situation estimation device 5 as necessary. Elevator equipment includes monitored equipment whose operating conditions can be remotely monitored and non-monitored equipment whose operating conditions cannot be remotely monitored. There is no need to actually go to the location to check the operating status of the equipment to be monitored. On the other hand, in the case of facilities not subject to monitoring, the operator accepts calls (callbacks) regarding the operating status from the owner or user of the facility via telephone or other means of communication, or the workers at the office actually visit the location. It is necessary to confirm the driving situation and the damage situation.

The operating condition estimation device 5 is a device for estimating the operating condition of the non-monitored equipment described above. The operating condition estimating device 5 estimates the operating condition of the non-monitoring equipment by means of an estimation model whose input data are location information indicating the location of the non-monitoring equipment and disaster information including the extent of the disaster at the location. The operating condition estimating device 5 may output the estimated operating condition as the probability that the non-monitored equipment is stopped or as the probability that the equipment is operating normally.

In the maintenance system 1000, the secondment support system 100 arranges the secondment of each group based on the prepared secondment plan, manages the progress of recovery work, and adjusts the secondment plan according to the ever-changing disaster situation. It has a secondment arrangement function to review the A configuration group of hardware and software for realizing this dispatch arrangement function is referred to as a dispatch arrangement system 20 .

The secondment planning system 10 and the secondment arrangement system 20 of the present disclosure may be configured by one information processing device having a configuration group of hardware and software, or may be configured by a plurality of information processing devices. . A configuration example of the information processing apparatus will be described later with reference to FIG.

A part of the hardware and software configuration group described above may be a configuration for realizing both the secondment planning function and the secondment arrangement function. That is, part of the configuration group that implements the secondment planning system 10 may be part of the configuration group that implements the secondment arrangement system 20 .

(Regarding secondment plan)
The secondment plan drawn up by the secondment planning system 10 defines, for each group, the combination of the secondment targets, which are scheduled to be seconded by the group for recovery work, and the order of the secondment. The secondment planning system 10 may draw up a secondment plan for an area managed by one office that has a plurality of groups. Further, the secondment planning system 10 may draw up a secondment plan for each office under the jurisdiction of the maintenance company.

In this embodiment, as an example, it is assumed that the secondment planning system 10 draws up a secondment plan for each office under the jurisdiction of the maintenance company. The staffing planning system 10 may operate according to instructions from the front-end system 1 (output unit) operated by an operator who works at a maintenance company. In this case, the secondment planning system 10 may be incorporated in an information processing device that constitutes the front-end system 1, or may be a separate information processing device that is communicably connected to the front-end system 1 as an input/output device. may be configured.

In addition, when the secondment planning system 10 draws up a secondment plan for one place of business in an area managed by the place of business, the secondment planning system 10 is a business unit operated by an operator who works at the place of business. 2 (output section). In this case, the secondment planning system 10 may be incorporated in the office device 2 as an information processing device, or may be configured by another information processing device communicably connected to the office device 2 as an input/output device. may be

(for other devices)
The front-end system 1 is, as described above, a system composed of one or more information processing devices operated by an operator who works for a maintenance company. In this embodiment, the front-end system 1 is communicably connected to a secondment support system 100 including a secondment planning system 10 and a secondment arrangement system 20 . The front-end system 1, as an input/output device, assists the operator in inputting information to the seconding support system 100, acquires information output from the seconding support system 100, and presents it to the operator. The front-end system 1 and the secondment support system 100 are connected by an arbitrary communication network. The communication network may be a LAN (Local Area Network) or a wide area network including the Internet.

The office device 2 is a device operated by an operator who works at one office, as described above. In this embodiment, the office device 2 may be communicably connected to the temporary transfer support system 100 and the terminal device 3 via any communication network.

The terminal device 3 is a device operated by the group leader GL of the group. The terminal device 3 is assumed to be, for example, a mobile terminal such as a smart phone or a tablet PC. In this embodiment, the terminal device 3 is communicably connected to the temporary transfer support system 100 via any communication network. The terminal device 3 may be communicably connected to the office device 2 . The terminal device 3 may be possessed by a worker (hereinafter referred to as a member) who belongs to the group other than the group leader. may be communicatively connected to the

The damage information providing system 200 monitors the elevator equipment maintained by the maintenance company, collects information on each elevator equipment, and provides it to the secondment support system 100 . Specifically, when a disaster such as an earthquake occurs, the damage information providing system 200 collects information on the damaged elevator equipment. If events such as stoppages or failures occur simultaneously in a large number of elevator equipment, the damage information providing system 200 provides equipment-related information about each elevator equipment in the entire disaster area, including information about the elevator equipment in the disaster area. Generate a list. Below, the list of facility-related information about elevator facilities in the entire disaster area is referred to as an overall facility-related information list. The entire equipment-related information list is transmitted from the damage information providing system 200 to the secondment support system 100 via the communication network. The damage information providing system 200 generates, as part of the equipment-related information described above, operational status information indicating the current operational status of the elevator equipment, for example. The operating status information generated here includes, for example, the operating status of each elevator facility located in the disaster area: (1) abnormal stop, (2) user confinement, and (3) normal operation. It may be information indicating which one of the above applies. The driving status information is transmitted from the damage information providing system 200 to the dispatch support system 100 via the communication network. The elevator equipment monitored by the damage information providing system 200 is the monitored equipment as described above.

The map information providing system 300 provides the secondment support system 100 with map information. The map information providing system 300 may provide map information to the front-end system 1 , office device 2 and terminal device 3 . If necessary, the map information providing system 300 may grasp road traffic conditions in various places in real time and provide each device with map information to which traffic information such as congestion or road closures is added. Further, the map information providing system 300 may receive a starting point and a destination from a client, and provide a possible travel route from the starting point to the destination, a moving distance, a moving time, and the like. Here, the clients are the dispatch support system 100, the front-end system 1, the office device 2, the terminal device 3, and the like.

In another embodiment, in the maintenance system 1000, the secondment support system 100 is communicatively connected to the supervisor terminal 4 linked to the supervisor who can directly monitor the non-monitored equipment via a communication network. may have been The supervisor who can directly monitor the non-monitoring equipment may be the owner of the building in which the non-monitoring equipment is installed, or the building manager assigned to the building. With respect to non-monitored equipment, the supervisor and the supervisor terminal linked to the supervisor may be registered in advance in the secondment support system 100 and managed. Details of information transmitted and received between the dispatch support system 100 and the monitor terminal 4 and processing for the information will be described in the third embodiment.

(Processing flow of secondment support system)
FIG. 2 is a flow chart showing processing executed by the secondment support system 100 .

In step S1, the secondment support system 100 stores in advance the number of groups that can respond to emergencies for each office. The secondment support system 100 sets a group leader for each group of each office, and stores the contact information of the group leader for each office. A list storing the number of groups for each office and the contact information of the group leader of each group may be created in advance by the operator and stored in the storage device of the secondment support system 100 .

The process of step S1 is preferably executed in advance before a disaster actually occurs.

When an event such as failure or stoppage of many elevator facilities is detected at the same time due to the occurrence of a disaster, the damage information providing system 200 provides, for example, a complete list of facility-related information regarding the disaster area. When the entire equipment-related information list is provided from the damage information providing system 200 to the seconding support system 100, the seconding support system 100 starts the processing from step S2 onward.

In addition, as described above, the damage information providing system 200 directly communicates with each of the elevator equipment to be remotely monitored, and provides the operating status information for determining the necessity of recovery work for the elevator equipment as equipment-related information. , included in the overall list of equipment-related information described above.

Further, in the damage information providing system 200, an operator may be arranged to receive a failure report (callback) from the owner or user of the elevator equipment not subject to remote monitoring via communication means such as a telephone. The operator who receives the callback can also register the operating status of the non-monitored equipment in the damage information providing system 200 . The damage information providing system 200 includes, as equipment-related information, the above equipment-related information overall list with the operating condition information not subject to remote monitoring for which the callback is accepted, based on the operating conditions registered by the operator through the callback. may

In this way, the damage information providing system 200 provides the temporary staffing support system 100 with the entire list of equipment-related information including the operational status information of the monitored equipment and the operational status information of the non-monitored equipment that has received callbacks. can be done.

In step S2, the secondment support system 100 divides the facility-related information overall list for each office. The division of the overall list may be performed based on geographical conditions. For example, the secondment support system 100 grasps in advance the area under the jurisdiction of each office, and depending on which area the location of the elevator equipment belongs to, the overall list of elevator equipment for each office is displayed. Can be split into lists. Below, the equipment-related information list divided for each office is referred to as an equipment-related information list for each office. Note that the office-specific facility-related information list may be created according to manual input work by the operator.

The office-specific facility-related information list obtained in this manner includes operating status information as one piece of facility-related information regarding the elevator facilities for which the actual operating status is known. Elevator equipment for which the actual operating status is known refers to monitored equipment and non-monitored equipment for which the actual operating status is known by receiving a callback from the owner or user. point to The operating status information may include, for example, information indicating any one of (1) abnormal stop, (2) user confinement, and (3) normal operation. Obtaining such a facility-specific equipment-related information list enables the staffing planning system 10 to determine whether recovery work is necessary for the elevator equipment for which maintenance is contracted by each office.

In step S3 (first operation status acquisition step), the temporary staffing planning system 10 acquires the operation status of the monitoring target equipment whose actual operation status is known from the office-specific equipment related information list. If the facility-specific facility-related information list includes operating status information of non-monitored facilities whose actual operating status is grasped by callback, the staffing planning system 10 Driving status information may be acquired.

In step S4 (estimation step), the operating status estimation device 5 of the temporary staffing planning system 10 estimates the probability of the operating status of the elevator facilities for which the actual operating status is unknown among the elevator facilities not subject to remote monitoring. . As an example, the operating condition estimation device 5 may estimate a stop probability that indicates the probability that the elevator equipment is abnormally stopped. Alternatively, the driving situation estimation device 5 may estimate the confinement probability indicating the probability that the user is confined in the elevator facility.

In other embodiments, as shown, the travel planning system 10 may optionally perform step S5. In step S5 (second operating status acquisition step), the staffing planning system 10 operates non-monitored facilities whose operating status probability estimated by the operating status estimation device 5 is equal to or greater than the first threshold and less than the second threshold. As for the status, the operating status provided from the supervisor terminal of the supervisor who can monitor the non-monitoring facility may be acquired. Note that the second threshold is a value higher than the first threshold. Details of the second driving condition acquisition step will be described in the third embodiment.

In step S6 (restoration target identification step), the temporary staffing planning system 10 identifies restoration targets that require restoration work by the group from the elevator equipment shown in the office-specific equipment-related information list. The dispatch planning system 10 may, for example, identify the monitoring target equipment whose operating status is acquired in the above-described first operating status acquiring step as a restoration target. More specifically, the temporary staffing planning system 10 may identify monitoring target facilities whose operating status is (1) abnormal shutdown or (2) confinement of users as recovery targets. In addition, the temporary staffing planning system 10 may specify, as restoration targets, non-monitoring facilities whose operating conditions have been acquired in the above-described first operating condition acquiring step. In other words, the dispatch planning system 10 may specify, as recovery targets, non-monitored facilities that have been grasped by callbacks as being (1) abnormally stopped or (2) confined users. Furthermore, in the estimation step of step S4, the temporary staffing planning system 10 may specify non-monitoring facilities for which the probability of the operating status is estimated to be equal to or higher than the above-described second threshold, as restoration targets. Furthermore, the secondment planning system 10 may specify, as a recovery target, non-monitored equipment for which the operating status provided from the supervisor terminal has been acquired in the second operating status acquisition step of step S5.

In step S7 (searching step), the temporary staffing planning system 10 executes a search for the elevator equipment identified as the restoration target in the restoration target identification step of step S6, with the combination of restoration targets and the dispatch order determined. . Specifically, the secondment planning system 10 searches for an optimal secondment plan from several conceivable secondment plan candidates. An optimal seconding plan is an optimal or sub-optimal solution of a seconding plan. In this embodiment, the temporary transfer planning system 10 searches for a temporary temporary transfer plan with a relatively early estimated completion time at which all recovery targets for the office to be restored are completed, as the optimum temporary temporary transfer plan. A genetic algorithm can be applied as an example of a search method, but other algorithms for solving combinatorial optimization problems may also be applied.

In the search step of step S7, first, the location of the restoration target may be obtained as an example of the information regarding the restoration target. In another example, a recovery priority associated with a recovery target may also be obtained. In another example, the number of locations requiring work to be restored may also be obtained. In another example, confinement information to be restored may also be obtained. In this way, in the search process, before starting the search for the optimal seconding plan, a recovery target list including facility-related information regarding the recovery target is generated for each recovery target handled by the office. The restoration target list is used in the search described above. As an example, the restoration target list includes, as equipment-related information of the elevator equipment to be restored, specifically, all or part of various types of information such as location, restoration priority, number of required work locations, operating status, and containment information. can contain parts. A specific example of the facility-related information will be described later with reference to FIG.

In the search process, the dispatching planning system 10 determines the optimal or semi-optimal dispatching plan for each group, in which the group consisting of one or a plurality of workers to perform the restoration work is scheduled to be dispatched to recovery targets and the order of dispatching is determined for each group. Search for the optimal dispatch plan that is the solution.

More specifically, in the search step, among a plurality of different patterns of dispatch plans, a dispatch plan with a relatively early estimated completion time at which restoration of all restoration targets is completed is searched as an optimum dispatch plan. The estimated completion time is estimated by considering at least the total travel time to go to the restoration target and the total work time required for the restoration work of the restoration target.

In the present embodiment, the dispatch planning system 10 repeatedly executes the first operating condition acquisition step of step S3 to the optimal dispatch plan search step of step S7 for each office owned by the maintenance company.

In addition, when the business office proceeds with the recovery work according to the optimum transfer plan corresponding to the business office, the temporary transfer planning system 10 completes the recovery work for all restoration targets assigned to the business office. The estimated time may be output as the estimated completion time of the office.

Furthermore, the secondment planning system 10 virtually changes the affiliation of groups between offices, simulates secondment arrangements, and produces a better and optimal secondment plan that shortens the estimated completion time of each office. You can search every place. The secondment planning system 10 may propose to the operator a group allocation pattern for each office that will yield a better and more optimal secondment plan.

The staffing plan system 10 identifies the optimal staffing plan adopted by the operator as the final optimal staffing plan. The operator may adopt the optimum dispatch plan searched in the above-described searching process, or may select the optimum dispatch plan to be adopted from several simulated optimum dispatch plans.

The secondment planning system 10 saves the identified final optimal secondment plan in the storage device of the secondment support system 100 for each office. In this embodiment, the optimal secondment plan for each office may include, for each group, a queue in which the secondment targets, which are the restoration targets to which the group is scheduled to be seconded, are arranged in a line in the order of their secondment.

In step S8, the secondment arrangement system 20 of the secondment support system 100 arranges secondment according to the stored optimal secondment plan. First, the secondment arrangement system 20 may confirm whether or not the secondment target can be seconded with respect to the group with which the secondee target is associated. The secondment arrangement system 20 may manage a seconded subject informed by the group that the seconded subject is available as a confirmed seconded subject, distinguishing it from other unconfirmed seconded subjects.

In step S9, the secondment arrangement system 20 may manage the progress of the restoration work for each secondment confirmation target. Then, the secondment arrangement system 20 updates the above-described queue according to the ever-changing situation, such as the progress of recovery work and the addition of new recovery targets.

In step S10, the temporary staffing planning system 10 monitors updates in the overall equipment-related information list to determine whether re-searching for the optimal temporary staffing plan is necessary. If it is determined that re-search is necessary (YES in S10), the process returns to step S3, acquires the updated operating status of the monitoring target equipment, estimates the operating status of the non-monitored equipment, and restores. The target is respecified, and the search for the optimal secondment plan is repeated for the restoration target.

In step S11, the secondment arrangement system 20 determines whether or not the restoration work for all the secondment targets, that is, the restoration targets, has been completed in all the offices. When the recovery work has been completed for all recovery targets (YES in S11), the secondment support system 100 terminates the series of processes. Note that, if there are still restoration targets for which the restoration work has not been completed (NO in S11), the secondment arrangement system 20 returns to step S9 and continues progress management.

<Configuration of Temporary Transfer Planning System 10>
FIG. 3 is a block diagram showing the main configuration of the secondment planning system 10. As shown in FIG. The dispatch planning system 10 includes at least a first operating status acquisition unit 11 , a search unit 12 , and a restoration target identification unit 14 . The dispatch planning system 10 further activates one or more of the driving situation estimation device 5, the travel time acquisition unit 13, the output control unit 15, the disaster information acquisition unit 16, and the second driving situation acquisition unit 17 as necessary. may be prepared. Although FIG. 3 representatively shows only the estimating unit 52 of the driving situation estimating device 5, the driving situation estimating device 5 may include each unit of the driving situation estimating device 5 shown in FIG. An example of the configuration of the driving situation estimation device 5 will be described later in detail with reference to FIG.

The first operating status acquisition unit 11 acquires information about a plurality of elevator installations located at different locations from the damage information providing system 200 . For example, the first operating status acquisition unit 11 may acquire, as the information relating to elevator facilities provided by the damage information providing system 200, a list of overall facility-related information relating to the entire disaster area. In this embodiment, the facility-related information overall list may include facility-related information of each elevator facility in the entire disaster area. In particular, the overall equipment-related information list may include, as part of the equipment-related information, the known operating conditions of elevator equipment whose actual operating conditions are known.

For example, the overall list of equipment-related information may include operating statuses of both monitored equipment that is operating normally and does not require restoration work, and monitoring equipment that has experienced an event that requires restoration work. Further, for example, the overall facility-related information list may include the operating status of the non-monitoring facility for which it is known that an event requiring restoration work has occurred. The equipment-related information overall list may include equipment-related information other than the operating status of the non-monitored equipment whose operating status is unknown.

In this embodiment, as an example, the first operating status acquisition unit 11 can remotely monitor the operating status of a plurality of elevator facilities located at different locations from the entire list of facility-related information provided by the damage information providing system 200. to acquire the operating status of the monitoring target equipment. The first operating status acquisition unit 11 may acquire the operating status of non-monitored equipment whose operating status is grasped by callback or the like, although it cannot be remotely monitored, from the equipment-related information overall list. The facility-related information acquired by the first operating status acquisition unit 11 includes, in addition to the operating status, as an example, the location of the elevator facility to be restored, the restoration priority, the number of work required locations, and various types of confinement information. may include all or part of Details of these various types of information will be described later.

The first operating status acquisition unit 11 may divide the entire facility-related information list into facility-specific facility-related information lists that are lists for each office. Then, the first operating status acquisition unit 11 may acquire the operating status of each elevator facility for which maintenance is contracted for each business office from the facility-related information list classified by business office.

The estimating unit 52 of the operating condition estimation device 5 estimates the probability of the operating condition of non-monitored equipment, which is an elevator equipment whose operating condition cannot be remotely monitored. The estimation unit 52 outputs the estimated probability of the driving situation as an estimated driving situation.

The estimating unit 52 may omit the process of estimating the operating status of non-monitoring equipment whose operating status is known in the overall facility-related information list acquired by the first operating status acquiring unit 11 . This is because, for such non-monitoring equipment, it is possible to search for a secondment plan by adopting the operating conditions identified in the entire list of equipment-related information.

The estimated operating status may be a stoppage probability indicating the probability that the non-monitoring equipment is "(1) abnormally stopped". The estimated operating condition may be a confinement probability that indicates the probability that the non-monitoring equipment is "(2) confining a user". Alternatively, the estimated operating status may be a normality probability indicating the probability that the non-monitoring facility is "(3) in normal operation". The estimated driving situation may be information including the stop probability and the confinement probability. In this embodiment, the estimation unit 52 will be described as outputting the stop probability as the estimated driving situation.

The restoration target identification unit 14 identifies a restoration target requiring restoration work from among the elevator equipment included in the entire equipment-related information list based on the operating status or estimated operating status of each elevator equipment.

For example, the restoration target identification unit 14 may identify, as a restoration target, a monitoring target facility whose operation status is acquired by the first operation status acquisition unit 11 . More specifically, the restoration target identifying unit 14 identifies, as restoration targets, monitoring target equipment whose operating status is not in normal operation among the monitoring target equipment whose operating status is acquired by the first operating status acquiring unit 11. You may Further, for example, the restoration target identification unit 14 may identify the non-monitored equipment whose operating status is acquired by the first operation status acquisition unit 11 as a restoration target.

In addition, for example, the restoration target identifying unit 14 determines that the non-monitored non-monitoring target estimated by the estimating unit 52 to have a probability of the operating situation (for example, a stop probability) equal to or higher than a predetermined threshold (second threshold that is higher than the first threshold). Equipment may be identified as a restoration target.

The recovery target specifying unit 14 generates a recovery target list including equipment-related information regarding the recovery target specified for each office, and inputs the recovery target list to the searching unit 12 . The recovery target list is used by the search unit 12 to search for the above-described optimal secondment plan for the office.

The searching unit 12 searches for an optimal seconding plan, which is an optimal solution or a quasi-optimal solution for the seconding plan. As described above, the secondment plan defines for each group the combination of seconded targets, which are scheduled to be seconded by a group consisting of one or more workers to perform recovery work, and the order of the seconded workers. In the present embodiment, the searching unit 12 searches for an optimal dispatch plan for each business office to visit each recovery target listed in the recovery target list by the recovery target identifying unit 14 with one or more groups.

As an example, in this embodiment, a plurality of patterns are created for the secondment plan. Each pattern has a different combination of recovery targets and a different order of dispatch. The pattern described above is hereinafter referred to as a dispatch pattern. The process of generating a plurality of secondment plans with different secondment patterns may be executed by the searching unit 12 . In the present embodiment, the search unit 12 selects a dispatch plan with a relatively early estimated completion time for completion of restoration of all restoration targets handled by the office among a plurality of dispatch plans with various different dispatch patterns as the optimum dispatch plan. You may search as a secondment plan. In the present embodiment, the estimated completion time may be estimated by taking into account at least the total travel time to go to the restoration target and the total work time required for the restoration work of the dispatched target. The estimation of the estimated completion time may be performed by the searching unit 12 . The search unit 12 may output, for example, numerical values indicating the date and hour and minute as the estimated completion time. The search unit 12 may output numerical values indicating the year, month, day and hour, minute, and second as the estimated completion time.

According to the above-described configuration, the search unit 12 searches for the optimum secondment plan for a plurality of recovery targets with different locations. The optimal temporary assignment plan is an optimal or quasi-optimal temporary assignment plan among the temporary assignment plans in which the combination of restoration targets to which the group is scheduled to be seconded and the order of the temporary assignment are determined for each group. In other words, the searching unit 12 searches for a temporary temporary transfer plan with a relatively early estimated completion time at which restoration of all the temporary temporary transfer targets handled by the office is completed, as the optimal temporary temporary transfer plan. In this way, there is an effect that it is possible to draw up a dispatch plan that shortens the time for completing all of the restoration work.

(Configuration of Driving Situation Estimating Device 5)
The operating status estimation device 5 estimates the operating status of non-monitoring facilities, which are elevator facilities whose operating status cannot be remotely monitored among the elevator facilities. The operating condition estimating device 5 estimates the operating condition of the non-monitored equipment based on the operating condition of the monitored equipment acquired from the entire equipment-related information list or the like by the first operating condition acquisition unit 11, and calculates the outage probability and the like. Output the estimated driving situation.

FIG. 4 is a block diagram showing an example of a schematic configuration of the driving situation estimation device 5 according to this embodiment. Here, the driving situation estimation device 5 to which the first learning model 451 is applied will be described as an example. That is, the estimation unit 52 of the driving situation estimation device 5 inputs the location information and the disaster information of the elevator installation of interest to the first learning model 451 (first estimation model) as input data, and determines that the elevator installation of interest is abnormally stopped. (hereinafter referred to as "stop probability") as output data, the operating status of the elevator installation of interest is estimated. The elevator installation of interest is intended to be an elevator installation whose operating status is to be estimated by the operating status estimation device 5 when a disaster occurs.

The driving situation estimation device 5 may include a control section 50 and a storage section 54 . The control unit 50 may be, for example, a CPU. The control unit 50 controls to execute processing of each function provided in the driving situation estimation device 5 . The storage unit 54 is a storage device in which various computer programs read by the control unit 50, data used in various processes executed by the control unit 50, and the like are stored.

The controller 50 includes an input data generator 51 , an estimator 52 and an output controller 53 . In this specification, the driving situation estimation device 5 having the function of generating input data will be described as an example, but the present invention is not limited to this. For example, the driving situation estimation device 5 may be configured to acquire input data generated in advance by another device and input this to the first learning model 451 . When this configuration is employed, the input data generation unit 51, which has a function of generating input data, can be omitted from the driving situation estimation device 5. FIG.

The input data generator 51 generates input data to be input to the first learning model 451 . For example, the input data generation unit 51 generates disaster information including the extent of the disaster at the location of the elevator installation of interest. To generate the disaster information, the input data generator 51 may use, for example, disaster occurrence information indicating information about the disaster that has occurred, which is generated by the disaster occurrence information distribution device 6d. The disaster occurrence information distribution device 6d may be a device that quickly distributes information on disasters that have occurred. The disaster occurrence information may be, for example, information included in an emergency bulletin distributed by the Meteorological Agency.

Further, the input data generation unit 51 may acquire from the damage information providing system 200 peripheral operating status information indicating the operating status of peripheral facilities located within a predetermined range from the elevator facility of interest.

The input data generating unit 51 may also acquire the location information, building information, and equipment information of the elevator equipment of interest from the elevator equipment installation information database 6b. The elevator equipment installation information database 6b manages information on all elevator equipment in all offices under the jurisdiction of the maintenance company.

The input data generation unit 51 generates input data including at least the location information acquired from the elevator equipment installation information database 6b and the above-described disaster information generated based on the disaster occurrence information. The location information is information indicating the location of the elevator equipment. The disaster information is information including the extent of the disaster at the location. The severity of the disaster is defined as (1) the seismic intensity at the location of the elevator equipment, or (2) the magnitude of the earthquake at the location of the elevator equipment calculated from the magnitude of the epicenter, the depth of the epicenter, and the distance from the epicenter. It can be of any size.

The input data generation unit 51 is adapted to the data format of the teacher data used for the learning of the first learning model 451, and further includes peripheral operating status information, building information and equipment information of the elevator equipment of interest, etc. in the input data. good too. Here, the equipment information is information indicating at least one of the model and specifications of the elevator equipment. The building information is information indicating at least one of the completion date and earthquake resistance specifications of the building in which the elevator equipment is installed. The peripheral operating status information is information indicating the operating status of peripheral facilities, which are elevator facilities located within a predetermined range from the elevator facility and whose operating status can be remotely monitored, when a disaster occurs.

The estimation unit 52 estimates the probability of the operating status of the elevator installation of interest. The estimating unit 52 inputs the input data generated by the input data generating unit 51 to the first learning model 451, and outputs output data that is the result of estimating the operation status of the elevator installation of interest. The output data may be, for example, the outage probability of the elevator installation of interest.

The output control unit 53 outputs the output data from the estimation unit 52 to the outside. In the present embodiment, as an example, the output control unit 53 outputs the estimated operating status of each non-monitoring facility for which the operating status is unknown and which is under the jurisdiction of the business establishment, such as the outage probability. The output control unit 53 outputs the outage probability for each non-monitored facility whose operating status is unknown to the restoration target identification unit 14 . Alternatively, the output control unit 53 may store the output outage probability for each non-monitoring facility in the storage device of the secondment planning system 10 .

(Driving situation)
FIG. 5 is a diagram showing an example of the data structure of the operating status of the equipment-related information. The operating status is acquired by the first operating status acquisition unit 11 from the facility-related information overall list or the office-specific facility-related information list. In the example shown in FIG. 5, among the elevator facilities under the jurisdiction of one business establishment, the operating status of each elevator facility whose operating status is known is shown as a list. Hereinafter, this list will be referred to as an office-specific operating status list.

As described above, the operating status list for each business establishment includes at least whether the elevator equipment is in normal operation or abnormally stopped for each elevator equipment in the area under the jurisdiction of the business establishment. Here is a list to show. As an example, the office-specific operating status list is configured to include the items of elevator equipment ID and operating status.

The elevator equipment ID is a unique identification number for each installed elevator equipment. The elevator installation ID uniquely identifies all elevator installations in the maintenance system 1000 .

The operating status is information indicating whether the elevator equipment is in normal operation or abnormally stopped. In the illustrated example, the operating status "stopped" means that the elevator equipment is abnormally stopped, and the operating status "normal operation" means that the elevator equipment is operating normally.

The office-by-office driving condition list as shown in FIG. Specifically, the estimating unit 52 can estimate the operating status of other non-monitored facilities using the actual operating status of each elevator facility indicated by the operating status list by business site as part of the input data. can. Alternatively, the restoration target identification unit 14 can identify the restoration target from among these elevator installations based on the actual operating status of each elevator installation indicated by the operating status list for each office.

(Estimated driving situation)
FIG. 6 is a diagram showing an example of the data structure of the estimated driving situation output by the driving situation estimation device 5. As shown in FIG. The estimated driving situation output from the estimating section 52 of the driving situation estimating device 5 via the output control section 53 is inputted to the restoration target identifying section 14 . The restoration target identification unit 14 can identify a restoration target from among non-monitored equipment based on the input estimated operating conditions. In the example shown in FIG. 6, among the elevator equipment under the jurisdiction of the business office, the estimated operating status of each of the non-monitored equipment whose operating status has not been acquired by the first operating status acquisition unit 11. are shown as a list. The list is hereinafter referred to as an estimated driving situation list by business establishment.

As described above, the list of estimated operating conditions by business establishment is a list showing the estimated operating conditions of each non-monitored facility in the area under the jurisdiction of one business establishment. The estimated operating status is information including at least one of the probability that the non-monitored equipment is operating normally and the outage probability that the non-monitored equipment is abnormally stopped, and the estimated operating status is the operating status estimating device. estimated by 5. As an example, the office-by-office estimated operating status list is configured to include items of elevator equipment ID and estimated operating status.

The elevator equipment ID is a unique identification number for each installed elevator equipment. In the list of estimated driving conditions by business establishment, the same system of identification numbers used in the list of driving conditions by business establishment shown in FIG. 5 may be adopted.

In the example shown in FIG. 6, the estimated operating condition may be information indicating the outage probability estimated for each non-monitoring facility. For example, the estimated operating condition "80%" means that the probability that the elevator equipment is abnormally stopped is estimated to be 80%.

The output control unit 53 generates the list of estimated operating conditions by business establishment shown in FIG. and output to the restoration target identification unit 14 . The recovery target identifying unit 14 identifies the non-monitoring equipment based on the estimated operating status (for example, stop probability) of each non-monitoring equipment for which the operating status is unknown, indicated by the estimated operating condition list for each office. The recovery target can be specified from among them.

For example, the recovery target identifying unit 14 selects, among the elevator equipment listed in the estimated operating status list by business site, the elevator equipment for which the estimated operating status indicates a stop probability of a predetermined percentage (second threshold) or higher as the recovery target. may be specified. For example, the restoration target identification unit 14 may identify non-monitored equipment whose outage probability is estimated to be 80% or higher as a restoration target.

According to the above-described configuration, the operating status at the time of disaster is estimated for the non-monitored equipment whose operating status cannot be grasped until it is contacted because it is not subject to remote monitoring. As a result, it is possible to specify not only monitoring target equipment whose operating status can be grasped in real time by remote monitoring, but also non-monitoring equipment, to specify recovery targets. In this way, it is possible to formulate an accurate dispatch plan that takes into consideration the operational status of facilities not subject to monitoring when a disaster occurs.

After a disaster occurs, especially in the early stages, it is difficult to quickly grasp the overall picture of the suspended elevator equipment, and the secondment plan drawn up at this stage may lack accuracy. Therefore, in the early stages of a disaster, utilizing the dispatch planning system 10 having the operating status estimation device 5 enables us to quickly grasp the overall picture of the elevator equipment that has stopped, and to make highly accurate dispatches from the early stages of the disaster. This is particularly advantageous because it enables planning.

Each of the above-described units of the dispatch planning system 10 (the first operation status acquisition unit 11, the search unit 12, the travel time acquisition unit 13, the restoration target identification unit 14, the output control unit 15, the disaster information acquisition unit 16, and the second operation condition acquisition unit 17), and the control unit 50 (the input data generation unit 51, the estimation unit 52, and the output control unit 53) of the driving situation estimation device 5 include a control device provided in the information processing device that realizes the secondment planning system 10, and a program. It is a control block realized by a storage device for storing.

Further, the secondment planning system 10 may store the latest secondment plan database 31 (the latest secondment plan DB 31) in the storage device described above.

The travel time acquisition unit 13 acquires the travel time required for the worker to travel from the starting point to the destination. For example, the travel time acquisition unit 13 transmits a request including a query designating the first recovery target location as the departure point and the next recovery target location as the destination to the map information providing system 300 . Then, the travel time acquisition unit 13 may acquire the travel time from the departure point to the destination from the map information providing system 300 . As a result, the searching unit 12 can estimate the total travel time required to move the recovery target in the order of dispatch as the total travel time.

The travel time acquisition unit 13 may acquire an average travel time calculated by the map information providing system 300 as the travel time described above. Alternatively, the travel time acquisition unit 13 may acquire the travel time calculated by the map information providing system 300, taking into consideration road traffic conditions. The travel time that takes road traffic conditions into account may be the travel time calculated taking into account the degree of road congestion, or if the shortest route is closed to traffic, it is calculated based on the travel distance of an alternative route. It may be the travel time that is set.

The dispatch planning system 10 may acquire position information indicating the current position of a predetermined leader among the workers belonging to the group. For example, the secondment planning system 10 may communicate with the terminal device 3 of each group leader of each office and acquire the current location information of the group leader from the terminal device 3 .

As a result, the searching unit 12 can determine the current location of the group leader as the departure point of the group to which the group leader belongs, for each of a plurality of secondment plans with various different secondment patterns. Then, the search unit 12 can estimate the travel time from the departure point to the first recovery target location in the order of arrival.

The output control unit 15 outputs the search result executed by the search unit 12 to the output unit. In this embodiment, the output unit is the front-end system 1 or the office device 2 as an example.

In this embodiment, as described above, each of the elevator installations to be restored is associated with one of the business establishments that perform the maintenance to be restored. Each group belongs to one of the offices. The search unit 12 searches for an optimal secondment plan for each business office, targeting groups belonging to the business office. Through this search, the optimum secondment plan is searched for for each office together with the estimated completion time.

The output control unit 15 outputs each of the estimated completion times in the optimum secondment plan searched for each office to the output unit.

As a result, the operator can easily grasp when the restoration work for all restoration targets assigned to each office will be completed for each office. Presenting the estimated completion time for each office can contribute to the prompt transmission of the outlook for restoration work to relevant parties. By presenting the prospect of recovery in this way, it is possible to give a sense of security to the user or owner of the recovery object. Furthermore, the operator can contribute to expedite dispatch arrangements based on the optimal dispatch plan. Alternatively, it can help the operator to quickly make a decision to revise a more optimal dispatch plan.

As an example, the output control unit 15 may output to the front-end system 1 each of the estimated completion times in the optimum secondment plan searched for each office for all offices under the jurisdiction of the maintenance company. good. Furthermore, a dispatch pattern, in which a combination of restoration targets and a dispatch order indicated by the optimum dispatch plan are defined for each group, may be output in addition to the estimated completion time. For example, the output control unit 15, for the office device 2, the optimum dispatch plan of the office where the office device 2 is installed, that is, the above-mentioned dispatch pattern of the office and the estimated completion time of the office may be output.

The disaster information acquisition unit 16 acquires information indicating the degree of disaster for each region. For example, when a disaster occurs, the disaster information acquisition unit 16 may acquire information indicating the extent of the disaster for each region from the damage information providing system 200 or another disaster information providing system (not shown). . Information that indicates the extent of disasters in each region is not limited to information that directly indicates the extent of disasters in each region, but is indirect information that makes it possible to specify or estimate the extent of disasters based on such information. may

If the disaster is an earthquake, for example, the extent of the disaster is calculated from (1) the seismic intensity at the location of the elevator equipment, or (2) the magnitude of the epicenter, the distance from the epicenter, and the depth of the epicenter. , the magnitude of shaking at the location of the elevator equipment, and the like. Alternatively, the severity of the hazard may be (3) characteristics of the sway at the location, such as pitch and roll. When an earthquake occurs, the disaster information acquiring unit 16 may acquire at least one of the above information (1) to (3) from the damage information providing system 200 or another information providing system.

According to the above-described configuration, the restoration target identification unit 14 can identify, as a restoration target, elevator equipment located in an area where a specified degree of disaster has occurred.

For example, the restoration target identification unit 14 can identify, as a restoration target, elevator equipment located in an area where an earthquake of a predetermined seismic intensity or more occurred. For example, the restoration target identification unit 14 designates elevator equipment located in an area where the magnitude of shaking calculated from the magnitude of the epicenter, the distance from the epicenter, and the depth of the epicenter is greater than or equal to a predetermined value as the restoration target. can be specified. In addition, for example, the restoration target identification unit 14 can identify, as a restoration target, elevator equipment located in an area where a characteristic shake that seriously affects the operation of the elevator equipment has occurred.

As a result, even if the elevator equipment is non-monitored equipment that is not subject to remote monitoring, it may be affected by the disaster, and in the temporary staffing planning system 10, the non-monitored equipment is subject to recovery or recovery. It can be treated as a target candidate. As a result, it is possible to formulate an accurate dispatch plan that takes into account the operational status of equipment not subject to monitoring when a disaster occurs. In addition, the non-monitored facilities that are taken into consideration in drafting the secondment plan are narrowed down to elevator facilities located in areas where disasters of a specified degree have occurred from among a huge number of non-monitored facilities. be Therefore, it is possible to prevent an inefficient secondment plan from being mixed with elevator equipment for which the need for secondment is low as restoration targets.

The recovery target specifying unit 14 may specify the recovery target based on confinement information indicating whether or not the user is confined in the recovery target. The confinement information is acquired from the damage information providing system 200 by the first operating condition acquiring unit 11, for example, as one of the facility-related information.

According to the above configuration, it is possible to make a secondment plan in consideration of whether or not the user is confined. Specifically, the search unit 12 can generate a dispatch plan in which the order of visits to restoration targets in which confinement of a user has occurred is earlier than the order of visits to restoration targets in which confinement has not occurred. . As a result, a secondment plan is drawn up that allows restoration work to be carried out, giving top priority to restoration targets in which users are confined.

<Search for the best secondment plan>
(Regarding input information)
Input information that is input to the search unit 12 for searching for the optimal secondment plan for one office (for example, office A) will be described below. For example, the number of groups belonging to the office A, the position information of the group leader of each group belonging to the office A, and the recovery target list of the office A are input to the search unit 12 as input information. . The recovery target list for the office A is generated by the recovery target specifying unit 14 in the recovery target specifying step S6 shown in FIG.

The number of groups may be pre-registered in the storage device of the secondment planning system 10, or designated by the operator. For the position information of the group leader, for example, the information provided to the dispatch planning system 10 from the terminal device 3 of the group leader immediately before the search process can be adopted.

FIG. 7 is a diagram illustrating an example of the data structure of a restoration target list. In the present embodiment, the first operating status acquisition unit 11 divides the overall equipment-related information list provided from the damage information providing system 200 for each office based on the location of the elevator equipment, and Get information list. The restoration target identification unit 14 generates a restoration target list, which is a list of restoration targets assigned to each business establishment, from each of the business establishment-specific facility-related information lists. Specifically, the recovery target identification unit 14 determines, from the operating status of the elevator facilities located within the area under the jurisdiction of the office A (FIG. 5), the elevator facilities whose operating status is indicated as "stopped" to be recovered. , and added to the restoration target list shown in FIG. In other words, the recovery target identification unit 14 determines which of (1) monitored equipment that is known to be stopped and (2) non-monitored equipment that has been stopped by a callback from the owner or user. Non-monitoring equipment that is known to be in a state of failure may be added to the restoration target list.

Next, the restoration target identification unit 14 identifies elevator equipment that satisfies a predetermined condition as restoration targets from the estimated operating conditions ( FIG. 6 ) output by the estimation unit 52 of the operation condition estimation device 5 , and the restoration target list described above. Add to For example, the estimating unit 52 estimates the probability of the operating status of non-monitored equipment, and the restoration target identification unit 14 (3) determines non-monitored equipment whose outage probability is estimated to be a predetermined percentage or more as a restoration target. may be added to the recovery target list as

According to the above-described configuration, the operating status at the time of disaster occurrence is estimated as a probability for non-monitored equipment whose operating status cannot be grasped until it is contacted because it is not subject to remote monitoring. As a result, it is possible to specify not only monitoring target equipment whose operating status can be grasped in real time by remote monitoring, but also non-monitoring equipment, to specify recovery targets. In particular, non-monitored equipment that is highly likely to require restoration work can be added to restoration targets. As a result, it is possible to draw up a more accurate dispatch plan that takes into account the operational status of the non-monitoring equipment and its probability in the event of a disaster.

Specifically, the probability of the operating status estimated by the estimation unit 52 may be the probability that the non-monitoring equipment is stopped. The restoration target identification unit 14 may identify non-monitored equipment whose outage probability exceeds a predetermined value as a restoration target. Assuming that the predetermined value is, for example, 75%, in the estimated operating conditions shown in FIG. 6, the non-monitoring equipment with the elevator equipment ID "EV001" has a probability of stopping exceeding 75%. Therefore, the recovery target identifying unit 14 can specify the non-monitoring facility with the elevator facility ID "EV001" as a recovery target, and add the non-monitoring facility to the recovery target list.

For example, as shown in FIG. 7, the recovery target identification unit 14 generates a recovery target list, which is a list of recovery targets assigned to each business office. Assume that the recovery target list shown in FIG. 7 is the recovery target list for office A, as an example. The generated recovery target list is handed over to the search unit 12 of the secondment planning system 10 . Also, the restoration target list may be provided to the front-end system 1 . Also, the restoration target list of the office A may be provided to the office device 2 of the office A. FIG.

The recovery target list may include, for example, the following items: target ID, location, confinement information, recovery priority, number of locations requiring work, operating conditions, and estimated operating conditions.

The recovery target identification unit 14 identifies the target ID, location, confinement information, recovery priority, number of places requiring work, and Each item of the operating status can be reflected in the restoration target list. For elevator equipment whose operating status is known, the estimated operating status item may be blank because the operating status is not estimated.

The recovery target identification unit 14 determines the target ID, location, recovery priority, and number of locations requiring work, which are included in the office-specific equipment-related information list, for the estimated elevator equipment whose operating status is unknown. can be reflected in the recovery target list. Then, the recovery target identifying unit 14 can reflect the estimated driving situation ( FIG. 6 ) output from the driving situation estimation device 5 in the item of the estimated driving situation in the recovery target list. For elevator equipment whose operating status is unknown, the operating status item may be left blank.

The target ID is identification information for uniquely identifying the restoration target. Unique identification information is given to one elevator installation. In the present embodiment, one elevator facility is treated as one recovery target (seconded target) regardless of how many elevators the one elevator facility is composed of.

The location is information indicating the location to be restored, and includes a place name, an address, a building name, and the like.

Confinement information is information indicating whether or not an event in which a user is confined in a restoration target has occurred due to a failure or stoppage of the restoration target. In this embodiment, the confinement information indicates whether or not the user is confined in any of the elevators belonging to the elevator installation to be restored. In the illustrated example, "yes" indicates that there are passengers trapped in the elevator and "no" indicates that there are no such passengers. The recovery target specifying unit 14 can reflect the contents of the confinement information acquired from the damage information providing system 200 for the items of the confinement information.

The confinement information in the elevator equipment is information known in the equipment to be monitored or in the non-monitoring equipment that has received a callback to the effect that confinement has occurred. Therefore, confinement information is not associated with unmonitored equipment whose actual operating conditions are not known and whose operating conditions are only presumed.

The recovery priority is information indicating the recovery priority set for the recovery target. In this embodiment, as an example, the recovery priority of the recovery target in which the user is confined is set to the highest (for example, priority S). Then, for recovery targets for which confinement has not occurred, the predetermined recovery priority may be adopted as it is. Restoration priorities set in advance for restoration targets may include, for example, three levels of priorities A to C, excluding priority S. For each restoration target, one of A, B, and C is set in advance in descending order of restoration priority.

For example, the restoration priority may be determined according to the functional properties of the building in which the elevator equipment to be restored is installed. For example, in society, a high restoration priority (priority A) may be set for elevator equipment that operates in facilities that play an important role, especially when a disaster occurs. Facilities that play an important role are, for example, medical institutions such as general hospitals, news organizations such as television stations, and administrative agencies such as city and ward offices. Alternatively, the restoration priority may be set according to the rank of a maintenance contract concluded between the administrator of the building in which the elevator equipment is installed and the maintenance company.

In the present embodiment, the recovery target identification unit 14 determines that the user is confined according to the confinement information regardless of whether the restoration priority predetermined for the elevator equipment is any of A to C. A priority S is associated with the elevator equipment.

The number of places requiring work is information indicating the number of places where restoration work by workers is required in the elevator equipment to be restored. For example, the number of places requiring work may be the number of floors where an elevator stops for a user to get on and off (hereinafter referred to as the number of getting on and off floors) in elevator equipment. Alternatively, the number of places requiring work may be the number of bases of elevators included in the elevator equipment×the number of floors to get on and off. For example, in an elevator facility that is installed in a five-story building and configured with four elevators that stop at each floor, the number of locations where work is required may be 4 units×5 floors=20 locations.

The operating status indicates the actually ascertained operating status of the elevator equipment specified by the recovery target specifying unit 14 as a recovery target. The monitoring target facility is associated with the operating status grasped based on remote monitoring, that is, the operating status of "abnormally stopped" indicating that the operation has been stopped due to an abnormality such as a failure. . Of the non-monitoring facilities, the operating status of "abnormal stop" is associated with non-monitoring facilities whose operating status is known based on callbacks from the users or administrators of the facilities. It is Of the elevator equipment whose operating status is abnormally stopped, the operating status of elevator equipment that has been confirmed to have users trapped in it is associated with the operating status of "trapping occurring". may

The estimated operating status indicates the estimated operating status of the elevator equipment specified as the recovery target by the recovery target specifying unit 14 . In this embodiment, the estimated operating conditions estimated by the operating condition estimating device 5 are associated with the non-monitored equipment whose actual operating conditions are unknown due to lack of communication among the equipment not to be monitored. It is The estimated operating condition may be, for example, a stoppage probability that indicates the probability that the facility is in an abnormal stoppage. In the illustrated example, one of the non-monitoring facilities is associated with a stop probability value of "80%", which means that the probability that the non-monitoring facility is currently in an abnormal stop is 80%. %. The recovery target identifying unit 14 can reflect the outage probability estimated by the estimating unit 52 in the item of the estimated operating status of the non-monitoring equipment whose operating status is unknown. As described above, the outage probability in elevator equipment is information estimated for non-monitored equipment whose operating status is unknown. Therefore, no outage probability is associated with elevator installations whose operational status is known, such as by remote monitoring or callbacks.

In the present embodiment, the restoration target identification unit 14 includes (1) the equipment-related information list by business office acquired by the first operating condition acquiring unit 11, and (2) the estimation by business unit acquired from the operating condition estimation device 5. The driving situation list (FIG. 6) and the restoration target list (FIG. 7) generated based on are input to the searching unit 12. FIG.

(About exploration)
FIG. 8 and FIG. 9 are diagrams showing an example of a procedure for searching for an optimal secondment plan, which is executed by the searching section 12 in the searching step S7. Note that the maps M1 to M8 shown in FIGS. 8 and 9 are merely information obtained by visualizing the information held inside when the search unit 12 performs a search, in order to explain the search procedure in an easy-to-understand manner. Therefore, the search unit 12 does not actually need to generate the visualization information shown in the maps M1 to M8.

As shown in the map M1, the searching unit 12 is given the locations of all recovery targets included in the recovery target list, the confinement information of the recovery targets, and the recovery priority. Further, the search unit 12 is given the number of groups of the office A and the position information of the group leader of each group. Since the search unit 12 generates a seconding pattern with the recovery target as the seconding target, the term "seconding target" is used for the restoration target in the following description.

As shown in the map M2, first, the search unit 12 narrows down to the seconded targets with the highest recovery priority, and sets the estimated completion times of all the seconded targets to be earlier, preferably the earliest. Assign each of the secondees to a group so that: Hereinafter, the seconded target with the highest recovery priority, that is, the seconded target with the priority S in which confinement has occurred is referred to as the seconded target S. For example, the search unit 12 may generate several dispatch patterns targeting only the dispatch target S, and search for the dispatch pattern that is the optimal solution or the semi-optimal solution from among them. The search unit 12 may execute a genetic algorithm, which will be described later, to search for a secondment pattern that is an optimal solution or a quasi-optimal solution.

As an example, the map M2 indicates that the search unit 12 has searched for a secondment pattern in which the seconded target OS1 is first assigned to the group W and the seconded target OS2 is first assigned to the group T as the optimum or quasi-optimal solution. ing. The seconded target OS1 is the first seconded target assigned to the group W, and the seconded target OS2 is the first seconded target assigned to the group T in the seconded order. In this way, in the dispatch plan output by the searching unit 12, the dispatch order of the dispatch target S, in which the user is confined, is earlier than the dispatch order of the dispatch targets A to C, in which confinement does not occur. . As a result, a dispatch plan is generated that allows restoration work to be performed with top priority given to restoration targets in which users are confined.

As shown in the map M3, the search unit 12 then virtually shifts the status of all seconded targets S to the restoration work completed state. In addition, the search unit 12 sets the location of the seconded subject S scheduled to be seconded last as the latest current location for each of the groups.

Subsequently, as shown in the map M4, the search unit 12 narrows down the seconded targets with the priority A next to the priority S (hereinafter referred to as seconded targets A) so that the estimated completion time of all seconded targets A is earlier. Secondly, preferably, each seconded subject A is assigned to a group so that the estimated completion time is the earliest. The search unit 12 generates several dispatch patterns targeting only the secondee target A, similar to the secondee target S, and executes a genetic algorithm, which will be described later, from among them to obtain an optimal or quasi-optimal solution. You may search for a secondment pattern.

According to the map M4, as an example, these two seconded targets A are assigned to the group T in the order of seconded target OA2 and seconded target OA3. The seconding target OA2 is the second second in the order of seconding assigned to group T, and the third second in the order of seconding assigned to group T is the seconding target OA3. Since the seconded target S is not assigned to the group U, the seconded target OA4 is the first seconded target assigned to the group U in the order of seconding.

As shown in the map M5, the search unit 12 virtually shifts the status of all seconded targets A to the restoration work completion state, as in the case of priority S. FIG. In addition, the search unit 12 sets the location of the seconded candidate A who is scheduled to be seconded last to be the latest current location for each of the groups.

Subsequently, as shown in the map M6, the search unit 12 narrows down to seconded targets with priority B next to priority A (hereinafter referred to as seconded targets B) so that the estimated completion times of all seconded targets B are earlier. Secondly, preferably, each seconded target B is assigned to a group so that the estimated completion time is the earliest. The searching unit 12 generates several dispatch patterns targeting only the secondee target B as well as the secondee target S and the secondee target A, and among them, executes a genetic algorithm described later to find an optimal solution or a semi-optimal solution. A seconding pattern that is the optimum solution may be searched for.

According to the map M6, as an example, these three seconded targets B are assigned to the group W in the order of seconded targets OB1, seconded targets OB2, and seconded targets OB3. At this point, seconding targets OB1, seconding targets OB2, and seconding targets OB3 are assigned to group W in third to fifth positions in the order of seconding, following seconding target OS1 and seconding target OA1.

As shown in the map M7, the search unit 12 virtually shifts the status of all seconded targets B to the restoration work completion state, as in the case of the priority S and the priority A. FIG. In addition, the search unit 12 sets the location of the seconded candidate B, who is scheduled to be seconded last, as the latest current location for each of the groups.

Subsequently, as shown in the map M8, the search unit 12 narrows down to seconded targets with priority C next to priority B (hereinafter referred to as seconded targets C) so that the estimated completion times of all seconded targets C are earlier. In addition, preferably, each seconded subject C is assigned to a group so that the estimated completion time is the earliest. The search unit 12 generates several dispatch patterns targeting only the secondee target C in the same way as the secondee target S, the secondee target A, and the secondee target B, and executes a genetic algorithm to be described later from among them, A seconding pattern that is an optimal solution or a quasi-optimal solution may be searched for.

According to the map M8, at this point in time, the group W includes seconded targets OS1, seconded targets OA1, seconded targets OB1, seconded targets OB2, and seconded targets OB3. OC1, seconded target OC2, and seconded target OC3 are assigned respectively. In this way, in the dispatch plan output by the searching unit 12, the dispatch targets A to C in which the user is not confined are arranged in order of earlier dispatch as the restoration priority is higher. As a result, for the rest of the recovery targets excluding the recovery target in which the user is confined, a secondment plan is generated in which recovery work can be performed in descending order of predetermined recovery priority.

As described above, the searching unit 12 may search for the optimum seconding plan by setting only restoration targets associated with designated restoration priorities as seconding targets. As a result, among restoration targets with the same restoration priority, dispatch patterns in which the estimated completion time is relatively early are searched for, and by concatenating these in order of restoration priority, , a dispatch plan capable of performing recovery work is efficiently generated.

Finally, the searching unit 12 can obtain an optimal temporary worker transfer plan for the office A by combining the temporary worker dispatch patterns searched for each restoration priority from priority S to priority C, starting from the one with the highest restoration priority.

(About output information)
The output information output from the searching unit 12 that has searched for the optimal secondment plan for the office A will be described below. For example, the search unit 12 outputs, as output information, the optimal secondment plan for the office A obtained according to the above-described search procedure, and the estimated completion time of the company A based on the optimal secondment plan.

Output Information: Optimal Secondment Plan FIG. 10 is a diagram showing an example of the data structure of the optimal secondment plan. The optimal secondment plan shown in FIG. 10 is the optimal secondment plan for office A having group W, group T, and group U. FIG. The optimal secondment plan includes a secondment pattern for each group 71 that defines, for each group, the combination of secondment targets to which the recovery work group is scheduled to be seconded and the order of secondment. Since the office A has three groups, group W, group T, and group U, the optimal secondment plan for the office A includes three group-specific secondment patterns 71 . The group-by-group seconding pattern 71 includes information for uniquely identifying the seconded subject assigned to the group, and the order of arrival of each assigned seconded subject.

Note that the group-by-group dispatch pattern 71 shown in FIG. 10 is merely information visualized so that the combination of dispatch targets assigned to a group and the dispatch order can be easily visually recognized. Therefore, the search unit 12 does not actually need to generate the visualization information of the seconding pattern by group 71 as shown in FIG. 10 .

Output information: Estimated completion time Further, the search unit 12 may output the estimated completion time of the office A in the searched optimal secondment plan together with the optimal secondment plan. The searching unit 12 can estimate the estimated completion time for each temporary transfer plan based on the map information provided from the map information providing system 300 in the above-described search process.

For example, the searching unit 12 may estimate, for each group, the time at which the recovery work for the last seconded target in the order of seconded is completed for each of the seconded plans of a plurality of seconded patterns. Then, the search unit 12 sets the latest time of the estimated times for each group as the estimated completion time in the above-described secondment plan. This makes it possible to grasp the time of complete restoration at the office. Hereinafter, the time estimated for each group of the recovery work completion time of the last dispatched target will be referred to as the group-by-group estimated completion time.

For example, in the optimal dispatch plan shown in FIG. 10, assume that the estimated completion time for each group of group W, that is, the estimated completion time of the recovery work for the seconded target OC3, which is the last in the order of dispatch, is 10:48. Assume that the estimated completion time for each group of group T, that is, the time at which group T is estimated to complete the recovery work of the seconded target OC 6 last in the order of arrival is 10:26. Assume that the estimated completion time for each group of group U, that is, the estimated time at which group U completes the recovery work for the last dispatched target OC8 is 10:12. In this case, the search unit 12 determines the latest time "10:48" among the three estimated completion times for each group as the estimated completion time for the entire office A in the optimal secondment plan shown in FIG. do. The search unit 12 may output the estimated completion time “10:48” together with the optimal secondment plan shown in FIG.

As an example, the search unit 12 calculates the estimated completion time for each group for obtaining the estimated completion time of the office, the total travel time for the group to be seconded to the seconded target, and the total required recovery work for the seconded target for the group. At least take into account the working hours and guess. The total travel time is, for example, the total sum of travel times required for a group to travel to a visiting target assigned to its own group in accordance with the order of arrival. The total work time is, for example, the sum of the work times required for the group to perform recovery work for each seconded target. For example, the search unit 12 may calculate the estimated completion time for each group by adding the above total travel time and the above total work time to the current time.

A procedure for calculating the total travel time of the group by the search unit 12 will be described by taking as an example a case of calculating the total travel time of the group W based on the optimal seconding plan shown in FIG. 10 .

First, the search unit 12 calculates the movement distance from the current location of the group leader of group W (map M1 in FIG. 8) to the location of the first seconded target assigned to group W (seconded target OS1 in map M2). Acquire the corresponding travel time MT1. Note that the travel time acquired by the search unit 12 may be acquired from the map information providing system 300 by the travel time acquisition unit 13 . Further, the travel time described above may be an average travel time based on the travel distance, or may be a travel time in consideration of traffic conditions. The same applies to various travel times acquired by the search unit 12 thereafter.

Thereafter, the searching unit 12 repeats the process of acquiring the travel time MTn from the location of the n-1th seconded target to the location of the nth seconded target (n is an integer equal to or greater than 2). In the example of group W, the search unit 12 repeats the above-described process until it acquires the travel time MT8 from the second target OC2 to the second target OC3, which is the last travel route.

Then, the search unit 12 calculates the sum of the travel times MT1, MT2, . . . , MTn as the total travel time of the group W.

A procedure for calculating the total work time of the group by the search unit 12 will be described. The search unit 12 identifies the work time WT for each seconded subject according to the number of places requiring work determined for each seconded subject. In this way, by accurately estimating the work time to be restored according to the situation at the site, it is possible to further reduce the error in the estimated completion time.

The searching unit 12 can refer to the recovery target list (FIG. 10) generated by the recovery target specifying unit 14 to specify the number of places requiring work for secondment (recovery target). It should be noted that the seconded target, which is the recovery target, can be uniquely identified by the target ID, for example.

The search unit 12 can calculate the working time WT of one seconded target based on the following formula, as an example.
Formula: work time WT=number of places requiring work×unit time+fixed time The unit time is the average work time required for restoration for one place requiring work, and is, for example, 3 minutes. The fixed time is a fixed work time, for example, 5 minutes, for the restoration of one restoration target, that is, one elevator installation, regardless of the scale of the number of work-required locations.

For example, if the number of places requiring work of the first seconded target OS1 in the group W is 20, the searching unit 12 calculates the work time WT1 of the seconded target OS1 as 20 places x 3 minutes + 5 minutes = 65 minutes. do. In this way, the searching unit 12 calculates the work time WT for each of the n-th dispatched subjects assigned to the group W (work time WT1, WT2, . . . , WTn).

Then, the search unit 12 calculates the total work time WT1, WT2, .

Finally, the search unit 12 adds the total travel time and the total work time calculated as described above to the current time to calculate the group-by-group estimated completion time of the group W. FIG. The searching unit 12 similarly calculates the estimated completion time for each group for the other group T and group U of the office A as well. Then, the latest estimated completion time among the three estimated completion times for each group is set as the estimated completion time in the optimal secondment plan shown in FIG.

The search unit 12 stores in the latest temporary transfer plan DB 31 the optimum secondment plan for the office A shown in FIG. The search unit 12 searches for the optimal temporary assignment plan, calculates the estimated completion time in the optimal temporary assignment plan, and stores them in the latest temporary assignment plan DB 31 for each of the offices corresponding to the disaster that occurred. run to

(An example of search: genetic algorithm)
The search unit 12 may generate each of a plurality of secondment patterns of secondment plans by alternation of generations according to a genetic algorithm.

For example, the search unit 12 executes each step of (step 1) initialization, (step 2) evaluation, (step 3) selection, (step 4) crossover, and (step 5) mutation. The search unit 12 repeats each step from step 2 to step 5 until the number of generations specified in advance has passed. The number of generations may be specified in advance by the operator.

In the initial setting of step 1, the searching unit 12 randomly generates individuals so as to satisfy the first condition that at least one seconded target is assigned to all groups in the office, for example. The first condition described above may be specified in advance by the operator, for example.

In this embodiment, identification of dispatch patterns according to the genetic algorithm is performed for each recovery priority. Therefore, an individual is generated as information indicating to which group of business establishments a predetermined number of secondment targets with a certain recovery priority are assigned.

When assigning Y groups to X seconded subjects, the search unit 12 randomly generates individuals having the following data structure (X and Y are integers of 2 or more).
[G ₁ , G ₂ , . . . , G _x ]
Here, G _i is a value for identifying a group to be assigned to the i-th seconded target, and is an integer of 0 or more and less than Y (i is an integer of 1 or more and X or less).

For example, when assigning three groups (first to third groups) to ten seconded targets (first to tenth seconded targets), an example of an individual generated by the search unit 12 is [1, 0, 2, 2, 1, 0, 0, 2, 0, 1]. The three numbers "0", "1" and "2" indicate the first group, the second group and the third group, respectively. That is, this individual assigns the second group to the first, fifth and tenth seconded subjects, the first group to the second, sixth, seventh and ninth seconded subjects, and the third, It shows assigning the third group to the fourth and eighth seconded subjects.

The search unit 12 generates a plurality of different individuals (for example, 300) and uses them as an initial group of individuals. The number of initial populations (second condition) may be specified in advance by the operator.

In the evaluation of step 2, the search unit 12 calculates, for each generated individual, the estimated completion time for completing the recovery work for all the seconded targets to which each group is assigned, and calculates the estimated completion time for the latest group. Correlate as the estimated completion time of the individual. As described above, the estimated completion time for each group is obtained by adding, to the current time, the sum of the travel time MT and the sum of the work time WT when all the assigned secondees are visited.

In the selection of step 3, the search unit 12 compares the estimated completion time of each individual by a tournament method, and selects several (for example, 3) individuals with the earliest estimated completion times as parent individuals of the next generation. do.

In the crossover of step 4, the search unit 12 randomly crosses the selected parent individuals such that the first condition is satisfied.

In the mutation in step 5, the searching unit 12 causes each individual to mutate with a predetermined probability (eg, 5%). The probability of causing mutation may be specified in advance by the operator.

The search unit 12 repeats the processes from step 2 to step 5 for the above-mentioned number of generations specified in advance, and selects the individuals remaining after the repetition as the optimal or quasi-optimal seconded target group with a certain recovery priority. Output as a temporary transfer pattern.

The search unit 12 executes the search according to the genetic algorithm consisting of steps 1 to 5 above for each restoration priority, and outputs the optimum or quasi-optimal dispatch pattern for each restoration priority.

<Screen example of optimal secondment plan>
The output control unit 15 may provide, to the front-end system 1 or the office apparatus 2, a secondment plan screen for presenting the optimum secondment plan for each office searched by the search unit 12 to the operator. FIG. 11 is a diagram showing an example of a secondment plan screen showing details of an optimal secondment plan for one office. The output control unit 15 generates a secondment plan screen 700 based on the optimal secondment plan stored in the latest secondment plan DB 31 and the secondment confirmation target managed by the secondment arrangement system 20 . The output control unit 15 transmits the generated secondment plan screen 700 to an output unit such as the front-end system 1 or office device 2, for example. The secondment plan screen 700 is, for example, a screen for presenting the optimum secondment plan searched for office A. FIG.

The secondment plan screen 700 may include basic information 701 of the place of business. The basic information 701 includes, for example, the number of groups belonging to the business office, the number of all workers assigned to the business office, and the number of elevators for which restoration work has not been completed among the restoration targets assigned to the business office. number of facilities, etc. In the present embodiment, the basic information 701 may include an estimated number of stoppages as the number of non-monitored installations estimated to be stopped by the operating condition estimation device 5 .

Also, the basic information 701 may include estimated completion time. The estimated completion time is estimated by the searching unit 12 based on the optimal seconding plan searched by the searching unit 12 . The estimated completion time refers to the estimated time at which all the recovery work for the entire business is expected to be completed when the business is engaged in recovery work according to the optimal secondment plan with the current power.

The basic information 701 may be designed to represent the latest information regarding basic information relating to the organization and progress of restoration work at the business establishment. For example, the travel plan screen 700 may include an update button 702 . When the update button 702 is operated by the operator, an update instruction is transmitted from the front-end system 1 or office device 2 to the temporary staffing support system 100 . Upon receiving the update instruction, the secondment planning system 10 of the secondment support system 100 reads out the latest optimum secondment plan of the office A from the latest secondment plan DB 31, and counts the number of secondment targets whose work has not been completed. Count the number of incompletes where The output control unit 15 provides the front-end system 1 or office device 2 with a dispatch plan screen 700 reflecting the latest number of incomplete jobs.

In response to a change in the situation, when the entire equipment-related information list aggregated by the damage information providing system 200 is updated, or when the first operating status acquisition unit 11 receives additional confinement information, the restoration target identification unit 14 updates the restoration target list. In response to the operation of the update button 702, the recovery target identification unit 14 updates the number of recovery targets or the estimated stop count displayed in the basic information 701 to the number counted based on the updated recovery target list. may

When the optimum secondment plan stored in the latest secondment plan DB 31 is updated, the search unit 12 updates the estimated completion time displayed in the basic information 701 in response to the operation of the update button 702 to the updated one. It may be updated to the estimated completion time in the optimal secondment plan.

The secondment plan screen 700 may include a list box 703 indicating the secondment pattern for each group, that is, the combination of secondment targets assigned to the group and the order of secondment. The list box 703 may include the order of visits, property names for visits, and the like. Also, the list box 703 may reflect the work progress of each seconded target. In the illustrated example, the background color of the order of arrival is color-coded according to work progress. The work progress of each secondee is managed by the secondment arrangement system 20 .

The secondment plan screen 700 may include a map image 704 in which the information of the secondment target is reflected on the map. As an example, the map image 704 may reflect information about seconded targets assigned to a specific group selected on the seconded plan screen 700 . In the illustrated example, the list box 703 of group U is selected. Therefore, on the map image 704, along with the boundary line representing the area in charge of Group U, the icon of the seconded target assigned to Group U may be plotted. A number indicating the order of dispatch may be assigned to the icon of the dispatch target.

By displaying the dispatch plan screen 700 as described above on the front-end system 1 or office device 2, the operator can grasp the progress of recovery work for each office in real time.

<Modification>
(Narrowing down recovery targets)
The restoration target identification unit 14 may identify the elevator equipment located in the specified area as the restoration target. As a result, the non-monitoring facilities considered in drafting the secondment plan are narrowed down to the elevator facilities located in the specified area from among a very large number of non-monitoring facilities. Therefore, it is possible to prevent the drafting of an inefficient secondment plan, in which elevator facilities in areas where secondment is not required are included as secondment targets. Operators can judge areas where there is a high need for secondment and specify those areas, thereby facilitating an efficient secondment plan that considers the operating status of equipment not subject to monitoring only in that area. It is possible to make a proposal.

A restoration priority is associated with the elevator equipment, and the restoration target identifying unit 14 may identify the elevator equipment associated with the designated restoration priority as a restoration target. As a result, the non-monitoring facilities considered in drafting the secondment plan are narrowed down to the elevator facilities with the specified recovery priority from among a very large number of non-monitoring facilities. Therefore, it is possible to prevent the establishment of an inefficient secondment plan in which elevator facilities in areas with a low restoration priority and a low need for secondment are included as secondment targets. Conversely, since the operational status is taken into account only for non-monitoring facilities with high recovery priority, it is possible to easily formulate an efficient secondment plan.

(Estimation of driving conditions)
The estimating unit 52 uses teacher data including location information indicating the location of the elevator equipment, disaster information including the extent of the disaster at the location, and operating status information indicating the operating status of the elevator equipment when the disaster occurred. A learning model generated by performing machine learning may be used to estimate the operating status of the non-monitoring facility using the location information of the non-monitoring facility and the disaster information as input data.

If the disaster is an earthquake, for example, the extent of the disaster included in the disaster information is (1) the seismic intensity at the location of the elevator equipment, or (2) the magnitude of the epicenter, the distance from the epicenter, and the depth of the epicenter. It may be the magnitude of the shaking at the location calculated from the location. Alternatively, the severity of the hazard may be (3) characteristics of the sway at the location, such as pitch, roll, and the like.

The training data further includes peripheral operating status information indicating the operating status of peripheral facilities, which are monitored facilities located within a predetermined range from the elevator facility, when a disaster occurs. It may further include operating conditions obtained by remotely monitoring peripheral equipment located within the range.

The teacher data may further include facility information indicating at least one of the model and specifications of the elevator facility, and the input data may further include facility information of the non-monitored facility.

The training data may further include building information indicating at least one of the construction completion date and earthquake resistance specifications of the building in which the elevator installation is installed, and the input data may further include building information of the elevator installation of interest.

The building information indicates, for example, the construction (completion) year, structure type, earthquake resistance specifications, and the like. The structure type may be information indicating whether the building in which the elevator facility is installed corresponds to any of the reinforced concrete (RC), steel (S), and steel reinforced concrete (SRC) types. . The seismic specification may be information indicating the seismic isolation, seismic resistance (only houses are seismic resistance class), specifications conforming to each local government, and the like, for the building in which the elevator facility is installed.

For example, it is possible to determine which of the old earthquake resistance standards and the new earthquake resistance standards is applied by the completion date. In addition, it is possible to judge the seismic isolation structure and earthquake resistance structure of the building from the seismic specifications. For example, it is possible to determine the seismic resistance grades 1 to 3 of a house, or to determine the history of seismic reinforcement work performed to meet the new seismic standards in a building that complies with the old seismic standards. In this way, by considering the strength against disaster in the building in which the elevator equipment is installed, it becomes possible to more accurately estimate the operation status of the elevator equipment installed in the building when a disaster occurs.

The learning model may output the probability of the operating status of the non-monitored equipment. The probability may be a stoppage probability that indicates the probability that the non-monitored facility is stopped.

<effect>
According to the secondment planning system 10 of the present embodiment, even if a large number of events such as stoppages or failures occur simultaneously over a wide area due to a disaster such as an earthquake, the time at which all recovery work by a plurality of work groups is completed It is possible to draw up a secondment plan to accelerate the

In addition, according to the secondment planning system 10 of the present embodiment, not only the monitoring target equipment whose operating status can be immediately grasped, but also the non-monitoring equipment whose operating status cannot be immediately grasped can be adjusted to the estimated operating status. Based on this, it is possible to determine whether recovery work is necessary or not. Therefore, it is possible to generate an accurate secondment plan that matches the disaster situation. As a result, it is possible to improve the accuracy of the secondment plan of the work group. In this way, it is possible to accurately instruct recovery work to each group or each worker according to an accurate secondment plan that takes into consideration the operational status of facilities not subject to monitoring.

In addition, it is possible to present the prospect of recovery to related parties by utilizing the estimated completion time obtained for each dispatch plan. For example, it is possible to provide the users or owners who are waiting for restoration of restoration targets with estimated completion times obtained in accurate dispatch plans that take into consideration the operational status of non-monitored equipment. By presenting the prospect of recovery in this way, it is possible to give a sense of security to the user or owner of the recovery object.

As described above, the secondment planning system 10 of the present invention is a system that brings about an excellent effect of early recovery from a disaster for facilities such as elevators that are the basis of life. Therefore, the secondment planning system 10 of the present invention can contribute to the development of high-quality infrastructure with excellent disaster mitigation or disaster prevention performance, and by extension, the Sustainable Development Goals (SDGs), such as Goal 11 ( We can contribute to the achievement of sustainable city development.

[Embodiment 2]
Other embodiments of the invention are described below. For convenience of description, members having the same functions as those of the members described in the above embodiments are denoted by the same reference numerals, and description thereof will not be repeated.

In the secondment planning system 10 according to the present embodiment, the estimating unit 52 of the driving situation estimation device 5 can output the confinement probability as an estimated driving situation in addition to the outage probability.

<Configuration of Driving Situation Estimating Device 5>
FIG. 12 is a block diagram partially showing the configuration of the driving situation estimation device 5 according to this embodiment. The driving situation estimating device 5 according to the present embodiment may include the constituent elements of the driving situation estimating device 5 shown in FIG. 4 that are not shown in FIG.

In the driving situation estimating device 5 according to this embodiment, the estimating section 52 may include, for example, a stop probability estimating section 521 , a boarding situation estimating section 522 , and a confinement probability estimating section 523 . The storage unit 54 may further store operation history information 541, a second learning model 452 (second estimation model), and a third learning model 453 (third estimation model).

(Stop probability estimator)
The outage probability estimating unit 521 estimates the operating status of the elevator equipment of interest when the disaster of interest occurs, specifically, the outage probability, based on the location information indicating the location of the elevator equipment and the disaster information including the extent of the disaster at the location. to estimate The notable disaster is intended to be a disaster that can cause an event that requires recovery work to occur in the elevator equipment, and typically is intended to be the latest disaster that has occurred. As described in the previous embodiment, the extent of the disaster included in the disaster information is (1) the seismic intensity of the area including the location, (2) the magnitude of the shaking at the location, and (3) the characteristics of the shaking at the location. It may be at least one of such as.

The outage probability estimation unit 521 may use the first learning model 451 to estimate the outage probability of the elevator installation of interest when the disaster of interest occurs. Here, the first learning model 451 performs machine learning using first teacher data including location information of the elevator equipment, disaster information, and operating status information indicating the operating status of the elevator equipment when the disaster occurs. It is a learning model generated by doing. The operating status information used for the first teaching data may be information indicating whether the elevator equipment is in normal operation or abnormally stopped.

The outage probability estimation unit 521 receives from the input data generation unit 51 the location information of the elevator installation of interest and the disaster information when the disaster of interest occurs. Then, the outage probability estimation unit 521 inputs the location information of the elevator installation of interest and the disaster information when the disaster of interest occurs to the first learning model 451 as first input data. The outage probability estimator 521 obtains the outage probability output from the first learning model 451 to which the first input data is input as the outage probability of the elevator installation of interest when the above-described disaster of interest occurs.

(Boarding situation estimation unit)
The boarding situation estimation unit 522 estimates the boarding situation in the elevator facility of interest when the disaster of interest occurs. Based on the operation history information 541, the boarding status estimation unit 522 may output the boarding status determined according to a predetermined rule as the boarding status. can be output as

The operation history information 541 is information indicating the operation history of the elevator equipment during the period before the occurrence of the disaster of interest, and may be created for each elevator equipment and stored in the storage unit 54 . The operation history information 541 includes information indicating what day of the week and what frequency the elevator equipment was used.

(Operating history information)
FIG. 13 is a diagram showing an example of the data structure of operation history information. As an example, the operation history information 541 may store at least one of the information regarding the operation status listed below for one elevator installation in association with the information indicating the date and time of operation.

The information about the operation status may be, for example, at least one of car call information, car driving direction information, and running state information.

The car call information is information indicating that a car call operation has occurred by the user, and the car call information is specified in association with information indicating the landing floor where the car call operation was performed and the car call operation. and information indicating the destination floor.

The car driving direction information is information indicating whether the car traveled upward or downward in accordance with the car call operation described above. In the illustrated example, "UP" indicates that the car has traveled up, and "DN" indicates that the car has traveled down.

The running state information is information indicating the running state of the car. Specifically, the running state information may indicate the number of users using the car or the degree of congestion in the car when the car travels according to the car call operation described above.

In addition to the illustrated example, the information regarding the operation status may be hall call information indicating that an operation has occurred at the hall, or may be car position information indicating the position of the car.

In the operation history information 541, information indicating the date and time of operation is associated with the above-described various types of information regarding the operation status. The information indicating the date and time of operation may be, for example, information indicating the date, day of the week, and time when the elevator equipment is in operation.

By referring to such operation history information 541, the boarding situation estimation unit 522 can grasp the usage pattern of the elevator equipment of interest. The usage pattern in which the elevator equipment is used differs from elevator equipment to elevator equipment. For example, elevator equipment in condominiums and apartments is completely different from elevator equipment in commercial facilities. Further, the frequency of use by users differs depending on the day of the week and the time of day, even for elevator equipment in the same facility. Elevator facilities used by commercial customers tend to be busier on Saturdays and Sundays than on Mondays through Fridays. Also, elevator facilities in condominiums tend to be congested during the morning hours (e.g., commute time) and evening to night hours (e.g., commute time) Monday through Friday.

The input data generation unit 51 receives the disaster occurrence area and disaster occurrence date and time for the disaster of interest, which are included in the disaster occurrence information distributed from the disaster occurrence information distribution device 6d, and calculates the area and day of the week where the disaster of interest occurred. , and various information indicating the time zone may be generated.

The boarding situation estimation unit 522 receives from the input data generation unit 51 the region, day of the week, and time period in which the disaster of interest occurred. Based on the operation history information 541 of the elevator equipment of interest located in the area where the disaster of interest occurred on the day of the week and the time period when the disaster of interest occurred, the boarding situation estimation unit 522 estimates the elevator equipment of interest when the disaster of interest occurred. A boarding situation may be estimated. As a result, the boarding situation estimation unit 522 can accurately estimate the boarding situation in the elevator installation of interest when the disaster of interest occurs. The boarding situation estimation unit 522 extracts records from the operation history information 541 of the elevator equipment of interest that are the same as the day of the week and time period when the disaster of interest occurred, and calculates the utilization rate for that day of the week and time period. The boarding status estimation unit 522 may determine whether or not the vehicle is boarded according to the calculated utilization rate. For example, the boarding status estimation unit 522 may determine that there is "boarding" if the calculated utilization rate is equal to or greater than a predetermined value, and that "no boarding" is determined if the utilization rate is less than the predetermined value. . Then, the boarding state estimating unit 522 may output the boarding presence/absence indicating “boarding” or “not boarding” as the boarding state.

Alternatively, the boarding situation estimation unit 522 may estimate, as the boarding situation, a boarding probability indicating the probability that there will be a user boarding the elevator facility of interest when the disaster of interest occurs. In this case, the boarding situation estimation unit 522 may use the second learning model 452 to estimate the utilization rate of the elevator facility of interest when the disaster of interest occurs, and estimate the boarding probability according to the utilization rate. The second learning model 452 is, for example, a learning model constructed by performing machine learning using the second teacher data, which is a combination of the day of the week and the time zone, and the utilization rate of the elevator equipment, which is the correct data. good too. The utilization rate may be the ratio of the time that the car is running per unit time in the relevant time zone, or the number of passengers riding in the car per unit time in the relevant time zone. It may be the number of people, or it may be the degree of congestion in the corresponding time zone. As the second learning model 452, a different learning model may be constructed for each region such as prefectures or municipalities. Furthermore, as the second learning model 452, different learning models may be constructed for each attribute of elevator equipment. The attribute of the elevator equipment is the attribute of the building in which the elevator equipment is installed, and the attribute may represent the functionality of the building, such as whether it is a commercial facility or a residential facility. It may represent the characteristics of the location of the building, such as in front of a station, an office district, an industrial area, or the like.

The boarding situation estimation unit 522 receives from the input data generation unit 51 the day of the week and the time period when the disaster of interest occurred. The riding situation estimation unit 522 may further receive from the input data generation unit 51 the area where the disaster of interest occurred. The riding situation estimation unit 522 inputs, for example, the day of the week and the time period when the disaster of interest occurred to the second learning model 452 corresponding to the area where the disaster of interest occurred, as second input data. The boarding situation estimation unit 522 determines the boarding probability according to the utilization rate output from the second learning model 452 to which the second input data is input, to the non-monitoring target located in the disaster area when the above-mentioned notable disaster occurs. It may be estimated as the boarding probability of the facility.

Alternatively, the boarding situation estimation unit 522 may estimate the boarding probability for each elevator installation of interest. The boarding situation estimation unit 522 may input the day of the week and the time period when the disaster of interest occurred to the second learning model 452 corresponding to the area where the elevator installation of interest is located and the attributes of the elevator installation of interest. . Then, the boarding situation estimation unit 522 may obtain the boarding probability according to the utilization rate output from the corresponding second learning model 452 as the boarding probability of the elevator installation of interest.

(boarding status information)
FIG. 14 is a diagram showing an example of the data structure of the riding situation information output by the riding situation estimation unit 522. As shown in FIG. The boarding state estimation unit 522 may output the boarding state of each elevator facility of interest as a probability that a user is boarding when the disaster of interest occurs, as shown in FIG. According to the boarding status information shown in FIG. 14, when a disaster of interest occurs, the probability that a user is boarding the elevator equipment EV001 is 79%, and the user is boarding the elevator equipment EV026. It turns out that the probability that there is is "55%".

Alternatively, the boarding situation estimation unit 522 may output the expected value of the number of passengers boarding as the boarding situation of each elevator facility of interest. For example, the boarding situation estimation unit 522 outputs "2.4" as the expected value of the number of users riding the elevator equipment EV001, and outputs "2.4" as the expected number of users riding the elevator equipment EV026. 0.7 persons" may be output. In this case, it means that the higher the expected value of the number of boarding users, the higher the probability that the number of users boarding the elevator facility is.

(confinement probability estimator)
The confinement probability estimating unit 523 estimates the probability of confining the user in the elevator installation of interest when the disaster of interest occurs, based on the probability of the elevator installation of interest stopping and the boarding status of the elevator installation of interest.

In the present embodiment, as an example, the estimating unit 52 calculates the outage probability, the confinement probability shall be estimated.

Therefore, in this embodiment, the outage probability estimating unit 521 estimates the outage probability for all the non-monitored equipment described above, and the boarding situation estimating unit 522 calculates the boarding probability as the boarding condition for all the non-monitoring equipment shall be estimated.

In this embodiment, as an example, the confinement probability estimating unit 523 may estimate the confinement probability for all of the non-monitoring facilities for which the stop probability and boarding probability have been estimated.

On the other hand, the event of "trapping" in elevator equipment is an event in which the elevator equipment is abnormally stopped, and the control of the car's running and door opening becomes impossible, and a user is in the car. point to Therefore, it is estimated that there is a high probability that the elevator will be stopped abnormally when a disaster occurs, and that there is a high probability that users will be on board when the disaster occurs. It can be estimated that there is a high probability that

Therefore, in another example, the confinement probability estimating unit 523 may estimate the confinement probability for elevator installations whose estimated outage probability is equal to or greater than a predetermined threshold. When this configuration is adopted, the confinement probability estimating unit 523 targets elevator installations EV001 and the like whose stop probability is equal to or higher than a predetermined threshold value (for example, 75%) in the estimated driving situation shown in FIG. Probabilities may be estimated.

Alternatively, the confinement probability estimating unit 523 calculates the confinement probability based on the stop probability of the elevator installation of interest for which the estimated boarding probability is equal to or greater than a predetermined threshold, or the elevator installation of interest for which boarding presence/absence is determined to be "boarding". can be estimated. When this configuration is adopted, the confinement probability estimating unit 523 targets elevator equipment EV001 or the like whose boarding probability is equal to or higher than a predetermined threshold value (for example, 60%) in the boarding situation information shown in FIG. Probabilities may be estimated.

In addition, the confinement probability estimation unit 523 may omit the process of estimating the confinement probability for the elevator equipment for which it is determined that there is no boarding.

By adopting such a configuration, the confinement probability estimating unit 523 can appropriately omit the process of estimating the confinement situation for the elevator installation of interest, which is unlikely to be confined during a disaster. Therefore, the confinement probability estimating unit 523 can efficiently execute processing for estimating the confinement probability for the elevator installation of interest in the event of a disaster.

In this embodiment, as an example, the confinement probability estimating unit 523 may calculate the confinement probability based on the stop probability and boarding probability estimated for each non-monitoring facility according to a predetermined rule. For example, the predetermined rule may be such that the higher the estimated stop probability and boarding probability, the higher the calculated confinement probability.

For example, the confinement probability estimator 523 may calculate the confinement probability as follows based on the estimated stop probability and boarding probability. More specifically, the confinement probability estimation unit 523
calculation formula;
The probability of being confined may be calculated based on probability of being confined=probability of stopping×probability of boarding.

Here, as information for judging the necessity of restoration work, it is considered that whether or not the elevator equipment is abnormally stopped is more important than whether or not there is a user inside. Therefore, the confinement probability estimator 523 emphasizes the stop probability, and calculates the confinement probability using the above-described calculation formula when the stop probability is equal to or greater than a predetermined value or when the stop probability≧boarding probability. may Alternatively, the confinement probability estimator 523 may calculate the confinement probability with different weighting factors for the respective probabilities. Specifically, the confinement probability estimating unit 523 may calculate the confinement probability by setting the weighting factor of the stopping probability higher than the weighting factor of the boarding probability in the above calculation formula. According to the above configuration, for example, the same probability of confinement is calculated for the case of "80% probability of stopping and 60% probability of boarding" and the case of "60% probability of stopping and 80% probability of boarding". The former case yields a higher calculated confinement probability. Therefore, it is possible to obtain a more effective confinement probability as information for determining the necessity of restoration work.

In another example, the confinement probability estimation unit 523 may use the third learning model 453 to estimate the confinement probability in the elevator installation of interest when the disaster of interest occurs. The third learning model 453 is, for example, a learning model constructed by performing machine learning using the third teacher data, which is a combination of the stop probability and boarding probability, and the confinement probability of elevator equipment, which is correct data. may Regarding the correlation between the stop probability and the boarding probability and the confinement probability, if different characteristics are found for each model or model number of the elevator equipment, the third learning model 453 Different learning models may be constructed.

The confinement probability estimator 523 inputs, as third input data, the estimated outage probability and boarding probability of the elevator installation of interest to the third learning model 453 corresponding to the area where the disaster of interest occurred, for example. The confinement probability estimator 523 may estimate the confinement probability output from the third learning model 453 to which the third input data is input as the confinement probability of the elevator installation of interest described above.

(Estimated driving situation)
FIG. 15 is a diagram showing an example of the data structure of the estimated driving situation output by the driving situation estimation device 5 according to this embodiment. The difference from the estimated driving situation (FIG. 6) output by the driving situation estimation device 5 according to the first embodiment is that the estimated driving situation includes the confinement probability in addition to the stop probability.

In this embodiment, the estimating unit 52 calculates the outage probability estimated by the outage probability estimating unit 521 and the confinement probability estimated by the confinement probability estimating unit 523 for one non-monitored facility whose actual operating status is not known. Output the estimated driving situation including The output estimated driving conditions are input to the restoration target identification unit 14 . The output control unit 53 may associate the output estimated operating conditions with the elevator equipment ID of the non-monitored equipment, and generate an office-specific estimated operating condition list including estimated operating conditions for each non-monitored equipment. . The estimated driving conditions may be input to the restoration target identification unit 14 in the form of an estimated driving condition list for each office shown in FIG. 15 .

For example, the recovery target identifying unit 14 determines that the outage probability indicated by the estimated operating status of the non-monitored equipment listed in the estimated operating status list for each office is a predetermined percentage (second threshold) or higher, for example, 80% or higher. may be specified as restoration targets. Furthermore, the restoration target identification unit 14, among the non-monitoring equipment identified as the restoration target, for the non-monitoring equipment whose confinement probability indicated by the estimated operating status is a predetermined percentage (second threshold value) or more, for example, 80% or more, The recovery priority may be changed to the highest priority S. The numerical value of the second threshold applied to the outage probability and the numerical value of the second threshold applied to the confinement probability may be the same or different.

The searching unit 12 can search for the optimum seconding plan for the recovery target specified by the recovery target specifying unit 14 according to the recovery priority determined by the recovery target specifying unit 14, as in the first embodiment.

According to the above-described configuration, the operating status at the time of disaster is estimated for the non-monitored equipment whose operating status cannot be grasped until it is contacted because it is not subject to remote monitoring. The estimated operating condition indicates not only whether the engine is stopped abnormally, but also the probability that the engine is confined when it is stopped abnormally. As a result, it is possible to specify not only monitoring target equipment whose operating status can be grasped in real time by remote monitoring, but also non-monitoring equipment, to specify recovery targets. Furthermore, the presence or absence of confinement can be predicted for non-monitored equipment, and the recovery priority of non-monitored equipment that has a high probability of being confined can be increased before executing a search. In this way, it is possible to formulate an accurate dispatch plan that takes into consideration the operational status of facilities not subject to monitoring when a disaster occurs.

After a disaster occurs, especially in the early stages, it is difficult to quickly grasp the overall picture of the suspended elevator equipment, and the secondment plan drawn up at this stage may lack accuracy. Therefore, in the early stages of a disaster, utilizing the dispatch planning system 10 having the operating status estimation device 5 enables us to quickly grasp the overall picture of the elevator equipment that has stopped, and to make highly accurate dispatches from the early stages of the disaster. This is particularly advantageous because it enables planning.

In addition, if the existence of a recovery target with a high recovery priority is found after the initial stage after a disaster occurs, the transfer order that has already been planned will be interrupted so that the recovery target with a high recovery priority will be dispatched first. I am forced to review my plan. Such a review of the secondment plan significantly reduces the efficiency of the group's recovery work, so it is desirable that such a review does not occur as much as possible. According to the secondment planning system 10 according to the present embodiment, at the initial stage of the occurrence of a disaster, a secondment plan is formulated in consideration of the possibility of confinement of equipment not subject to monitoring. This greatly contributes to the smooth progress of restoration work by the group.

[Embodiment 3]
By the way, as described in each of the above-described embodiments, in the configuration of searching for a dispatch plan by including facilities with an estimated probability of occurrence of an event equal to or higher than a predetermined percentage (second threshold) as restoration targets, It is difficult to completely eliminate facilities that are included or excluded from recovery targets in situations different from the occurrence situation. The estimated event is, for example, an event that requires restoration work for the facility, and more specifically, an operating condition such as "abnormal stop".

Specifically, erroneously including equipment for which the estimated event did not actually occur leads to the problem of increasing unnecessary patrols. The second threshold, which indicates "predetermined %", is set relatively high (for example, "80%"). Then, there are facilities that were not included in the recovery target in the initial stage because the estimated result was less than the predetermined percentage even though the event had actually occurred, and that had to be included in the recovery target after the situation was clarified later. may come out. In this way, if there is an erroneously determined facility that was erroneously excluded from restoration targets because the event actually occurred but the probability of occurrence was less than a predetermined percentage, A review is required, and there is a risk that the efficiency of recovery work will be reduced. If the number of erroneously determined facilities as described above can be reduced, the accuracy of the secondment plan made at the initial stage can be further improved. From this point of view, the secondment planning system 10 has room for improvement.

Therefore, in this embodiment, the secondment planning system 10 draws up a more accurate secondment plan from the initial stage of the occurrence of a disaster so as not to interrupt or change the seconding order after the secondment plan is drafted as much as possible. Suggest.

The above-described problem of erroneous determination equipment is particularly likely to occur in equipment in which the probability of occurrence of an event is less than a predetermined percentage, but whose probability of occurrence is close to the predetermined percentage. The above-mentioned occurrence probability band is an occurrence probability band in which the probability is equal to or more than the first threshold and less than the second threshold, and the second threshold is a value higher than the above-mentioned first threshold. Point. For example, this corresponds to an occurrence probability band in which the occurrence probability is 60% (first threshold) or more and less than 80% (second threshold). Hereinafter, an occurrence probability band that is greater than or equal to the first threshold and less than the second threshold and in which the second threshold is higher than the first threshold is referred to as a “gray zone”.

The present invention focuses on the above-mentioned room for improvement, and is based on the idea that early grasping of the occurrence status of events regarding facilities with occurrence probability in the gray zone contributes to increasing the accuracy of the secondment plan. It was made.

In addition, the above-mentioned problem of misidentified equipment is, for example, when equipment with a high restoration priority is found to be restored after equipment with a low restoration priority, and when it is estimated that the equipment with a low restoration priority is to be restored. This is especially serious when it is later discovered that the equipment that was previously out of service has a high priority for restoration. In the dispatch plan, if the equipment with the highest recovery priority is interrupted in the order of dispatch, or if the order of dispatch is switched with other equipment, the recovery work for all restoration targets in the order of dispatch after that will be interrupted, replaced, etc. Subject to review. As a result, the number of recovery targets affected by the review increases, and the more recovery targets affected by the review, the greater the deviation between the actual progress of the recovery work and the initial estimated completion time.

The present invention has been made by paying attention to the above-mentioned problem of erroneous determination equipment. Specifically, the present invention can effectively improve the dispatch plan by quickly grasping the event occurrence status of equipment with a preset high restoration priority or equipment whose restoration priority is likely to rise. This is based on the idea that accuracy can be improved.

<Overview of maintenance system>
In this embodiment, maintenance system 1000 includes supervisor terminal 4 . The supervisor terminal 4 is a communication terminal device operated by a supervisor who can directly monitor non-monitoring equipment. The monitor terminal 4 is, for example, a smart phone, a tablet terminal, or a PC, and can communicate with the dispatch support system 100 and the damage information providing system 200 via a communication network.

In this embodiment, in the maintenance system 1000, the supervisor terminal 4 of the supervisor is associated with each non-monitored facility and managed. As an example, a supervisor contact list that links the contact information (telephone number, e-mail address, etc.) of the supervisor terminal 4 to the elevator equipment ID of the non-monitoring facility is created in advance and is accessible by the secondment planning system 10. It is assumed that the data is stored in the storage device.

A supervisor refers to, for example, a person who can directly monitor non-monitored equipment. Specifically, when a disaster occurs, the monitor must be present at the site where the non-monitored equipment is installed, or rush to the site to directly check the operating status of the non-monitored equipment. A person who can For example, the monitor is the owner of the building in which the non-monitored equipment is installed, or the manager who is contracted to manage the building by the owner.

<Configuration of Temporary Transfer Planning System 10>
The secondment planning system 10 according to the present embodiment has a configuration further including a second driving situation acquisition unit 17 in addition to the configuration described in the previous embodiment.

In this embodiment, the estimation unit 52 of the driving situation estimation device 5 outputs the estimated probability of the driving situation as the estimated driving situation. The driving situation probability is specifically at least one of a stop probability and a confinement probability.

(Function of second driving situation acquisition unit)
The second operating status acquisition unit 17 determines the operating status of the non-monitoring equipment for which the probability of the operating status output by the estimating unit 52 is equal to or greater than the first threshold and less than the second threshold. The driving situation provided from the supervisor terminal 4 is acquired. The second threshold is a value higher than the first threshold.

In this embodiment, the second driving condition acquisition unit 17 executes the second driving condition acquisition step of step S5 after the estimation step of step S4 shown in FIG. 2 is executed.

Specifically, as an example, the second driving situation acquiring unit 17 refers to the estimated driving situation ( FIG. 6 or FIG. 15 ) output by the estimating unit 52 , and monitors that the probability of the estimated driving situation is in the gray zone. Identify out-of-scope equipment. Specifically, the second operating condition acquisition unit 17 identifies non-monitoring equipment whose operating condition probability is greater than or equal to a first threshold value and less than a second threshold value. Here, the first threshold<the second threshold. As an example, the first threshold is 60% and the second threshold is 80%. It may be non-target equipment.

For example, the second operating status acquisition unit 17 may identify non-monitored equipment with a probability of outage of 60% or more and less than 80% as non-monitored equipment with a gray zone outage probability.

For example, the second operating status acquisition unit 17 may identify non-monitored equipment with a confinement probability of 60% or more and less than 80% as non-monitored equipment with a gray zone of confinement probability.

Note that the above-described first threshold and second threshold may be the same as long as the first threshold is smaller than the second threshold, and the first threshold and the second threshold defined for each of the outage probability and the confinement probability are the same numerical value. may not be the same numerical value. For example, the first and second thresholds for defining the gray zone of outage probability are 70% and 80%, respectively, and the first and second thresholds for defining the gray zone of confinement probability are: They may be 60% and 90%, respectively.

The second operating status acquisition unit 17 obtains the operating status of each non-monitoring facility from the supervisor terminal 4 linked to the supervisor of each non-monitoring facility identified as having a gray zone probability of the operating status. get. In the following, the ``supervisor terminal 4 linked to the supervisor of the non-monitoring facility'' will be referred to as the ``supervisor terminal 4 linked to the non-monitoring facility'' and the ``supervisor terminal 4 associated with the non-monitoring facility''. It will be described simply as "supervisor terminal 4" or "supervisor terminal 4 of non-monitoring facility".

For example, the second operating status acquisition unit 17 obtains the operating status provided from the supervisor terminal 4 corresponding to the non-monitoring facility for the non-monitoring facility estimated to have a stop probability equal to or greater than the first threshold and less than the second threshold. You can get the status. According to the above configuration, it is possible to obtain the actual operation status of the non-monitored equipment from the monitor terminal 4 from the initial stage of the occurrence of the disaster. That is, when the vehicle is stopped, the fact that the vehicle is stopped can be grasped from the initial stage. Therefore, it is possible to draw up an accurate secondment plan that matches the actual situation from the initial stage. If it is found later that the work has stopped, the secondment plan needs to be reviewed, but such inconvenience can be reduced.

For example, the second operating status acquisition unit 17 obtains the operation status provided from the supervisor terminal 4 corresponding to the non-monitoring facility for the non-monitoring facility whose confinement probability is estimated to be equal to or greater than the first threshold and less than the second threshold. You can get the status. According to the above configuration, it is possible to obtain the actual operation status of the non-monitored equipment from the monitor terminal 4 from the initial stage of the occurrence of the disaster. In other words, when the user is stopped and especially when the user is confined, the fact that the confinement is occurring can be grasped from the initial stage. Therefore, it is possible to draw up an accurate secondment plan that matches the actual situation from the initial stage. If it turns out later that confinement has occurred, it will be necessary to review the dispatch plan, but such inconveniences can be reduced.

The second driving condition acquisition unit 17 can acquire the driving condition from the monitor terminal 4 by employing appropriate communication means. As an example, the second operating condition acquisition unit 17 may transmit a request to transmit the operating condition to the monitor terminal 4 corresponding to the non-monitored equipment in the gray zone. The second driving status acquisition unit 17 may send the request to the supervisor terminal 4 as an e-mail or a short mail. Alternatively, the second driving condition acquisition unit 17 may transmit the request to the supervisor terminal 4 via a general messaging application. Alternatively, in the maintenance system 1000, a dedicated application or user interface (UI) for exchanging information between the monitor terminal 4 and the secondment planning system 10 is created. You may send the request.

In response to the request transmitted from the second operating status acquiring unit 17, each of the supervisor terminals 4 of the non-monitoring equipment acquires the operating status of the non-monitoring equipment corresponding to the own terminal from the second operating status acquiring unit 17. reply to For example, this reply may be realized by an observer's operation. As an example, the supervisor receives a request for driving status as an e-mail from the dispatch planning system 10 at his/her supervisor terminal 4 . The supervisor directly monitors the non-monitored equipment in charge and grasps the operating status. The supervisor operates his/her own supervisor terminal 4 to create a reply mail indicating the grasped driving situation and returns it to the secondment planning system 10 .

For example, the request e-mail includes a user interface (UI) component that enables selection of any of (1) during abnormal shutdown, (2) during confinement, and (3) during normal operation, and any of the options. may include a UI screen configured with a reply button that can be pressed when is selected. The supervisor can simply reply to the dispatch planning system 10 with the operational status by simply selecting the appropriate option and pressing the reply button.

In this way, the second operating condition acquisition unit 17 can acquire the actually ascertained operating condition of the non-monitoring equipment whose probability is in the gray zone.

The second operating status acquiring unit 17 supplies the operating status of the non-monitored equipment in the gray zone acquired from each monitor terminal 4 to the restoration target specifying unit 14 .

(Function of restoration target identification unit 14)
The recovery target identification unit 14 includes (1) elevator equipment (monitored equipment and non-monitored equipment that received a callback) whose operating status was acquired by the first operating status acquisition unit 11, and (2) an estimating unit In addition to (3) non-monitored equipment whose operating status is acquired by the second operating condition acquisition unit 17, Identify it as a recovery target.

As an example, the driving conditions acquired by the first driving condition acquiring unit 11 and the second operating condition acquiring unit 17 may indicate (1) abnormal stop or (2) user confinement. good.

In another example, the driving conditions acquired by the first driving condition acquiring unit 11 and the second operating condition acquiring unit 17 are (1) abnormal stop, (2) user confinement, and (3) ) during normal operation.

In this case, the recovery target identifying unit 14 may specify, as a recovery target, the elevator equipment for which the acquired operating status indicates (1) abnormal stop or (2) user confinement.

According to the above configuration, in addition to the operating status of the monitored equipment, it is possible to obtain the actual operating status of the non-monitored equipment from the monitor terminal 4 from the initial stage of the occurrence of the disaster. Even for non-monitored equipment that is not remotely monitored, quickly grasp whether it is abnormally stopped or not, especially whether or not users are confined, from the initial stage of a disaster. be able to. In this way, it is possible to quickly grasp the overall picture of the elevator equipment requiring restoration work in the disaster area without inquiring whether it is to be remotely monitored or not. As a result, it is possible to draw up an accurate secondment plan that matches the actual situation from the initial stage. If it is found later that an abnormal shutdown has occurred, especially if confinement has occurred, it will be necessary to review the dispatch plan, but such inconveniences can be reduced.

(Driving status acquired from monitor terminal)
FIG. 16 is a diagram showing an example of the data structure of a driving situation list in which the driving situations acquired by the second driving situation acquisition unit 17 are listed.

In the illustrated example, as an example, the second operating status acquisition unit 17 determines that at least one of the outage probability and the confinement probability is in a gray zone (e.g., 60% or more and less than 80%). is sent to the supervisor terminal 4. Without being limited to this, the second operating condition acquisition unit 17 may transmit a request to the supervisor terminal 4 targeting non-monitored equipment for which both the outage probability and the confinement probability are in the gray zone. Alternatively, the second operating status acquisition unit 17 may transmit a request to the supervisor terminal 4 targeting non-monitored equipment for which at least the outage probability of the outage probability and the confinement probability is estimated to be in the gray zone.

In the illustrated example, the second operating condition acquiring unit 17 may exclude the elevator installations of EV135 and EV137, whose outage probability and confinement probability do not fall within the gray zone, from targets to which the request is sent. For example, for an EV 135 whose both the outage probability and the confinement probability are equal to or higher than the second threshold, the recovery target identification unit 14 determines that the EV 135 is in the process of being confined and is subject to recovery without the need for the second operating condition acquisition unit 17 to inquire of the supervisor terminal 4. may be specified. For example, the EV 137 whose stop probability is greater than or equal to the second threshold and whose confinement probability is less than the first threshold is abnormally stopped by the restoration target identification unit 14 without the second driving situation acquiring unit 17 inquiring of the supervisor terminal 4. It may be identified as a recovery target as being in the middle. For the sake of explanation, the records of EV135 and EV137 are shown in the driving situation list shown in FIG. can be excluded from

Upon receiving a reply from the supervisor terminal 4 of the non-monitoring facility to which the request was sent, the second operating condition acquisition unit 17 acquires the operating condition contained in the reply, Register in the operation status list in association with the elevator equipment ID of the non-target equipment.

The second operating status acquisition unit 17 adds information indicating non-receipt to the operating status item of the operating status list for non-monitored equipment for which a request has been sent but a reply has not been returned from the monitor terminal 4. They may be associated with each other. As a result, it is possible to identify non-monitoring equipment for which no response has been received and the operating status of which has not yet been ascertained.

The second operating condition acquiring unit 17 may supply the operating condition list shown in FIG.

Alternatively, the second driving status acquisition unit 17 waits for a reply from each supervisor terminal 4 after sending the request or for a predetermined time (for example, about 5 minutes) from the time when the disaster occurred. good too. Then, the second operating status acquiring unit 17 stores the operating status list in the recovery target identifying part while keeping the operating status (unreceived) for the non-monitored equipment for which the response has not been received even after the predetermined time has passed. 14. As a result, it is possible to prevent the search unit 12 from greatly delaying the execution of the search for the optimum secondment plan due to the passage of time without the recovery target specifying unit 14 being able to specify the recovery target. In this way, it is possible to grasp the operational status of the non-monitored equipment to some extent, and to quickly formulate a dispatch plan with high accuracy from the initial stage of the occurrence of a disaster.

(Recovery target list)
FIG. 17 is a diagram showing an example of the data structure of the recovery target list generated by the recovery target identification unit 14 according to this embodiment. The restoration target identifying unit 14 is based on the driving situation acquired by the first driving situation acquiring unit 11, the estimated driving situation estimated by the estimating unit 52, and the driving situation acquired by the second driving situation acquiring unit 17. to identify the restoration target among the elevator equipment that the office is in charge of. The restoration target identification unit 14 generates a restoration target list indicating the identified restoration targets.

As shown in FIG. 17, the recovery target list of this embodiment includes target ID, location, confinement information, recovery priority, number of required work locations, operating status, and estimated operating It is configured with each item of status. The data structure of the recovery target list according to this embodiment differs from the data structure of the recovery target list according to the first embodiment shown in FIG. 7, for example, in the following points.

In this embodiment, the item of driving situation includes each item of first driving situation and second driving situation. The item of the first operating condition indicates the operating condition acquired by the first operating condition acquisition unit 11, like the operating condition in the restoration target list of the first embodiment. That is, the restoration target identification unit 14 reflects the operation status of the elevator equipment acquired from the damage information providing system 200 as a part of the equipment-related information by the first operation condition acquisition unit 11 in the item of the first operation condition. The elevator installation associated with the operating status in the first operating status item is the monitored facility or the non-monitored facility that has received a callback.

The second driving situation item indicates the driving situation acquired by the second driving situation acquiring unit 17 . In other words, the recovery target identifying unit 14 reflects the operating conditions acquired by the second operating condition acquisition unit 17 from the respective supervisor terminals 4 for the non-monitoring equipment whose probability is in the gray zone in the second operating condition item. . Elevator facilities with which the operating status is associated in the item of the second operating status have the probability of the estimated operating status in the gray zone among the equipment not to be monitored, and the actual operating status is provided from the monitor terminal 4 Elevator equipment.

In this embodiment, the items of the estimated driving situation may include the items of the probability of stopping and the probability of being confined. The recovery target identifying unit 14 may reflect the estimated probability of the non-monitored equipment identified as the restoration target and the probability estimated by the estimating unit 52 in the item of the estimated operating status. good.

(Regarding identification of restoration targets)
The restoration target identifying unit 14 determines whether the operating status acquired by the first operating status acquiring unit 11 is (1) abnormally stopped or (2) elevator equipment (for example, elevators EV002 to EV005 in FIG. 17 equipment) may be identified as restoration targets. In other words, the recovery target identification unit 14 excludes the elevator equipment whose operating status indicates (3) normal operation from the recovery target.

The second operating status acquiring unit 17 obtains the operating status of the non-monitored equipment for which either the outage probability or the confinement probability estimated by the estimating unit 52 is in a gray zone (for example, 60% or more and less than 80%). Get from Therefore, the recovery target identifying unit 14 determines that the operating status acquired by the second operating status acquiring unit 17 is (1) abnormally stopped or (2) elevator equipment (for example, EV001, EV213 in FIG. elevator equipment) may be specified as restoration targets. In other words, the recovery target identification unit 14 may exclude the elevator equipment (for example, the elevator equipment of the EV 211 in FIG. 16) for which the operating status is (3) normal operation, from the recovery target.

The restoration target identification unit 14 determines the non-monitored equipment whose probability does not fall within the gray zone and the non-monitored equipment for which the second operating status acquisition unit 17 has sent a request but has not received a reply. The recovery target is specified based on the probability of the operating condition estimated by

As an example, the restoration target identification unit 14 may identify non-monitoring equipment whose probability estimated by the estimation unit 52 is equal to or higher than a second threshold (for example, 80%) as a restoration target. Specifically, the restoration target identification unit 14 determines that non-monitored equipment (e.g. elevator equipment of EV 135 in FIG. It may be specified as a recovery target that has occurred.

As an example, the restoration target identification unit 14 may determine that the outage probability is at least a second threshold (e.g., 80%) or higher, and the confinement probability is less than a first threshold (e.g., 60%). 17) may be identified as a recovery target that is in an abnormal stop.

As an example, the recovery target specifying unit 14 may specify a recovery target based on the estimated outage probability for non-monitoring equipment for which the second operating status acquisition unit 17 has sent a request but has not received a reply. good. For example, in FIG. 17, regarding the elevator equipment of the EV 136, based on the fact that the probability of confinement is in the gray zone, the second operating condition acquisition unit 17 requested the operating condition to the supervisor terminal 4, but no reply has been received. . In this case, the restoration target identifying unit 14 may identify the elevator equipment of the EV 136 as the restoration target based on the fact that the probability of the elevator equipment being stopped is equal to or greater than the second threshold value (for example, 80%). On the other hand, the restoration target identification unit 14 may exclude the elevator equipment from the restoration target based on the fact that the probability of stopping the elevator equipment of the EV 212 in FIG. 16 is less than the second threshold value (for example, 80%). .

As an example, the restoration target identifying unit 14 removes non-monitoring equipment (e.g., elevator equipment EV026 and EV050 in FIG. 16) whose outage probability and confinement probability are both less than a first threshold value (e.g., 60%) from the restoration target. may be excluded.

As described above, in the present embodiment, the recovery target identifying unit 14 includes (1) the equipment-related information list by business establishment acquired by the first operating condition acquisition unit 11, and (2) the Based on the department-by-division estimated driving condition list (FIG. 15) and the driving condition list (FIG. 16) acquired by the (3) second operating condition acquisition unit 17, the recovery target is identified. Then, the recovery target specifying unit 14 generates a recovery target list ( FIG. 17 ) indicating the specified recovery target facility-related information. The restoration target identification unit 14 inputs the generated restoration target list to the search unit 12 . As a result, the searching unit 12 can start searching for an optimal seconding plan in which the recovery targets indicated in the input recovery target list are the seconding targets.

<Processing flow>
FIG. 18 is a sequence diagram showing the flow of processing executed by the maintenance system 1000. As shown in FIG.

When a disaster such as an earthquake occurs, the damage information providing system 200 collects the operational status of elevator equipment located in the disaster area. The damage information providing system 200 provides the temporary staffing planning system 10 with an entire facility-related information list including facility-related information for each elevator facility in the disaster area. In the equipment-related information overall list, with respect to equipment to be monitored and equipment not to be monitored that has received a callback, the actual operation status ascertained for the equipment is included as equipment-related information. For non-monitoring facilities whose operating status is not known, facility-related information other than operating status (location, recovery priority, number of locations requiring work, etc.) is included.

As shown in step S2 in FIG. 2, the overall facility-related information list is divided for each office and provided to the first operating status acquisition unit 11 of the dispatch planning system 10 as a facility-specific equipment-related information list. may A series of processes shown in FIG. 18 are executed for each of the office-by-office facility-related information lists acquired for each office. That is, the secondment planning system 10 repeats the series of processes shown in FIG. 18 for each office.

In step S101, the first operating status acquisition unit 11 acquires the operating status of the elevator equipment for which the business is in charge of maintenance from the facility-related information list classified by business. This step corresponds to the first driving condition acquisition step (step S3) shown in FIG.

In step S102, the estimating unit 52 of the operating condition estimating device 5 estimates the operating condition of non-monitored equipment whose operating condition is not grasped in the office-specific equipment related information list, and outputs the estimated operating condition. In this embodiment, as an example, the estimated driving situation output by the estimation unit 52 may include the stop probability and the confinement probability. This step corresponds to the estimation step (step S4) shown in FIG.

In step S103, the second operating condition acquisition unit 17 identifies non-monitoring facilities whose operating condition probability is in the gray zone based on the output estimated operating conditions. In the present embodiment, as an example, the second operating condition acquisition unit 17 may identify non-monitored equipment for which at least one of the outage probability and the confinement probability is in the gray zone. In another example, the second operating condition acquisition unit 17 may identify non-monitored equipment for which both the outage probability and the confinement probability are in the gray zone. In yet another example, the second operating status acquisition unit 17 may specify non-monitoring equipment for which at least the outage probability is in the gray zone, out of the outage probability and the confinement probability. As an example, when the above-described probability is the first threshold value<the second threshold value, the second operating status acquisition unit 17 monitors non-monitored equipment that is equal to or greater than the first threshold value and is less than the second threshold value in the gray zone. It may be specified as non-target equipment. The first threshold may be, for example, 60% and the second threshold may be, for example, 80%. The first and second thresholds for defining the gray zone may be different values for the outage and confinement probabilities, respectively.

In step S104, the second operating status acquisition unit 17 transmits a request for obtaining the operating status to the monitor terminal 4 corresponding to the specified equipment not to be monitored. When there are a plurality of identified non-monitoring facilities, the second operating status acquisition unit 17 may send the same request all at once to the monitor terminal 4 corresponding to each non-monitoring facility. The request may be, for example, an e-mail containing a UI component that assists the supervisor in entering driving conditions. Hereinafter, the e-mail as a request for obtaining the driving status will be referred to as a request e-mail.

In step S105, in response to receiving the request mail, the supervisor terminal 4 of each non-monitoring facility transitions to a state of accepting an input of operating conditions from the supervisor. As an example, the supervisor terminal 4 may display a UI screen made up of the UI components included in the received request mail on its own terminal to receive an input of the driving situation from the supervisor.

In step S106, the supervisor terminal 4 replies to the dispatch planning system 10 with the operating conditions specified by the supervisor. As an example, the monitor terminal 4 generates a reply mail indicating the selected driving situation when the reply button is operated in a state where any driving situation is selected on the UI screen, and the dispatch planning system 10 may be sent to

In step S<b>107 , the second operating status acquisition unit 17 receives the reply mail sent from each supervisor terminal 4 and acquires the operating status of the non-monitored facility corresponding to each supervisor terminal 4 .

In step S108, the second driving situation acquisition unit 17 may register the acquired driving situation in the driving situation list shown in FIG. 16 as the second driving situation.

In step S109, the second driving condition acquisition unit 17 may determine whether or not a predetermined time has passed since the request was sent or the disaster occurred. Furthermore, the second driving status acquisition unit 17 may determine whether or not reply mails have been received from all of the supervisor terminals 4 to which requests have been sent. If the second driving condition acquiring unit 17 determines that the predetermined time has passed, or if reply mails have been received from all the supervisor terminals 4, the process advances from YES in step S109 to step S110. That is, the second driving condition acquisition unit 17 outputs a driving condition list including the acquired second driving conditions to the restoration target identification unit 14 . On the other hand, if there is a supervisor terminal 4 that has not received the reply mail and the predetermined time has not passed, the second driving condition acquisition unit 17 proceeds from NO in step S109 to step S107. return. In other words, the second driving condition acquisition unit 17 waits for the reply mail until the predetermined time period expires.

A series of processes from step S103 to step S109 correspond to the second driving condition acquisition step (step S5) shown in FIG.

In step S110, the recovery target identifying unit 14 determines whether the business operation is performed based on the first operating situation acquired in step S101, the estimated operating situation estimated in step S102, and the second operating situation acquired in step S107. Identify the restoration targets from among the elevator equipment that the office is in charge of. The recovery target identification unit 14 generates a recovery target list (for example, FIG. 17) indicating the specified recovery targets, and inputs it to the search unit 12 . This step corresponds to the recovery target identification step (step S6) shown in FIG.

After that, the searching unit 12 that has received the input of the restoration target list starts the searching process (step S7) shown in FIG. The search step may be performed by the search described with reference to FIGS. 8 and 9 in the first embodiment.

<effect>
According to the configuration of the secondment planning system 10 according to the present embodiment, out of the non-monitored facilities that cannot be remotely monitored, for the non-monitored facilities in the gray zone, from the supervisor terminal of the supervisor who can monitor the non-monitored facilities Get the provided driving status. Non-monitored equipment in the gray zone is non-monitored equipment whose operating condition occurrence probability is less than the second threshold, but is equal to or greater than the first threshold, and the possibility that the operating condition is occurring cannot be ruled out. It's about. The temporary staffing planning system 10 can quickly and correctly grasp the operating status of the non-monitored equipment whose probability of occurrence is in the gray zone from the initial stage. As a result, the dispatch planning system reduces the need for later review such as interrupts or reordering of dispatches, and can draw up a more accurate dispatch plan from the initial stage of the occurrence of a disaster.

<Modification>
As shown in FIGS. 7 and 17, elevator equipment may have a restoration priority associated with it. Here, if it turns out that the equipment with high recovery priority is to be restored after the equipment with low recovery priority, the equipment with high recovery priority may be interrupted in the order of dispatch in the dispatch plan. , it is necessary to review the dispatch plan by changing the order of dispatch with other facilities. The higher the recovery priority of the facility whose dispatch order should be reviewed, the greater the impact of the review, and the more the restoration work schedule is disturbed.

By inquiring about all the non-monitoring facilities and grasping the precise operating status of all the non-monitoring facilities, it is possible to avoid revising the dispatch plan. However, it takes a lot of time to grasp the operating status of all non-monitored equipment by inquiry, which hinders the prompt formulation of an optimal secondment plan.

Therefore, the second operating status acquisition unit 17 associates the non-monitored equipment with the estimated outage probability equal to or greater than the first threshold value and less than the second threshold value with a restoration priority higher than a predetermined one. Equipment not to be monitored may be specified as a target for inquiring about the operating status in the request e-mail. Then, the second operating status acquisition unit 17 may acquire the operating status provided from the supervisor terminal 4 corresponding to the non-monitored equipment identified as the target of the operating status inquiry.

For example, the second operating status acquisition unit 17 determines that among the non-monitoring facilities for which at least one of the outage probability and the confinement probability is in the gray zone, the facilities with a higher recovery priority than "B", that is, Non-monitored installations may be identified as objects to be queried.

According to the above-described configuration, an inquiry about the operating status is made only for facilities with a relatively high restoration priority among the non-monitored facilities in the gray zone. Therefore, it is possible to simultaneously suppress the adverse effect of reviewing the secondment plan and quickly grasp the operating status of the non-monitored equipment.

The restoration target identification unit 14 acquires the elevator equipment for which the operation status of "user confined" has been acquired by the first operation condition acquisition unit 11, and the monitor for which the estimation unit 52 estimates that the probability of confinement is equal to or higher than the second threshold. The non-target equipment and the non-monitoring equipment for which the second operating status acquisition unit 17 has acquired the operational status of "user confinement occurring" may be identified as recovery targets in which confinement has occurred.

The recovery target identification unit 14 can input to the search unit 12 information related to recovery target equipment in which confinement has occurred. The searching unit 12 can search for the optimum seconding plan in consideration of the recovery target identified by the recovery target identifying unit 14 in which confinement has occurred.

In the dispatching plan created by the searching unit 12 in the process of searching for the optimum dispatching plan, the order of dispatch of restoration targets in which confinement has occurred is earlier than the dispatch order of restoration targets in which confinement has not occurred.

As a result, the optimum dispatch plan is searched for from among the dispatch plans with the highest priority on human life, which are planned so as to carry out the restoration work with the highest priority on the recovery target where the confinement of the user has occurred.

As described above, the elevator installation may have a restoration priority associated with it. In the dispatching plan created by the search unit 12 in the process of searching for the optimum dispatching plan, restoration targets for which confinement has not occurred are arranged in order of earlier dispatching as the restoration priority is higher.

As a result, for the rest of the recovery targets, excluding the recovery target where users are confined, we will select from among the appropriate dispatch plans planned to carry out the recovery work in order of the predetermined recovery priority. , the optimal secondment plan is searched.

The second operating status acquisition unit 17 may specify, as targets for which the operating status is to be inquired, non-monitoring facilities for which at least the outage probability of the outage probability and the confinement probability is in the gray zone. Furthermore, the second operating condition acquisition unit 17 changes the timing of transmitting the request for the operating condition for non-monitoring equipment whose outage probability is in the gray zone, depending on whether the confinement probability is equal to or greater than the second threshold. may

For example, after the occurrence of a disaster, before the searching unit 12 first searches for the optimal seconding plan, the second operating status acquiring unit 17 obtains the operating status of the non-monitored equipment whose confinement probability is estimated to be equal to or higher than the second threshold, The request may be addressed to the supervisor terminal 4 associated with the supervisor who monitors the non-monitoring facility. Then, before the search unit 12 re-searches the optimum seconding plan for the second and subsequent times, the second operating status acquisition unit 17 determines the non-monitored equipment whose confinement probability is estimated to be greater than or equal to the first threshold and less than the second threshold. The operation status may be further requested to the supervisor terminal 4 linked to the supervisor who monitors the non-monitoring facility.

According to the above configuration, in the first search immediately after the occurrence of a disaster, which requires promptness when formulating an optimal dispatch plan, the probability of confinement is particularly high among facilities with a gray zone outage probability (second threshold or above) to grasp the operating status. By limiting the facilities to be inquired about, it is possible to quickly complete the grasp of the operation status and quickly search for the optimum secondment plan. In addition, since the understanding of the operating status of equipment with a very high probability of confinement is promoted from the initial phase of the occurrence of a disaster, it is possible to greatly reduce the adverse effects of revising the dispatch plan.

On the other hand, in the phase where some time has passed since the disaster, recovery work has progressed to some extent, and re-search for the optimal dispatch plan is executed, the probability of confinement is medium (first Inquiry targets are expanded to include equipment that is greater than or equal to the threshold and less than the second threshold. This avoids the inconvenience of not being able to grasp the operational status of non-monitored equipment that is actually trapped even at the end of the recovery work for unmonitored equipment where it is uncertain whether or not confinement has occurred. can do.

The second operating status acquisition unit 17 may specify, as targets for which the operating status is to be inquired, non-monitoring facilities for which at least the outage probability of the outage probability and the confinement probability is in the gray zone. Furthermore, the second operating condition acquisition unit 17 may change the content of the information to be included in the request for the operating condition, depending on whether the confinement probability is equal to or greater than the second threshold value for the non-monitored equipment whose outage probability is in the gray zone. You can let

For example, the second operating status acquisition unit 17 obtains the operating status of the non-monitoring equipment whose confinement probability is estimated to be equal to or greater than the second threshold value, the supervisor terminal 4 linked to the supervisor who monitors the non-monitoring equipment. A request may be sent to the address with information indicating that entrapment is likely to occur.

According to the above configuration, a request including information indicating that there is a high possibility that confinement has occurred is sent to the supervisor terminal 4 corresponding to the non-monitored equipment whose confinement probability is estimated to be equal to or greater than the second threshold. sent. A supervisor using the supervisor terminal 4 recognizes from the information that there is a high possibility that confinement has occurred in the non-monitoring facility that the supervisor himself/herself monitors. As a result, the supervisor is motivated to carefully and promptly confirm the operating status of the non-monitored equipment and to respond to requests accurately and promptly. As a result, it is possible to prevent the occurrence of confinement from being overlooked, the discovery of which is delayed, and the reporting of the operational status of non-monitored equipment from being delayed.

The second operating status acquisition unit 17 may specify, as targets for which the operating status is to be inquired, non-monitoring facilities for which at least the outage probability of the outage probability and the confinement probability is in the gray zone. Furthermore, the second operating condition acquisition unit 17 changes the mode of retransmitting the request for the operating condition for non-monitoring equipment whose outage probability is in the gray zone, depending on whether the confinement probability is equal to or greater than the second threshold. may

For example, the second operating status acquisition unit 17 obtains the operating status of the non-monitoring equipment whose confinement probability is estimated to be equal to or greater than the second threshold value, the supervisor terminal 4 linked to the supervisor who monitors the non-monitoring equipment. The request may be resent to the supervisor terminal 4 that does not receive a response within a predetermined time after sending the request.

Specifically, the second operating status acquisition unit 17 waits for a predetermined time after transmitting the request mail all at once to the monitor terminals 4 corresponding to the non-monitored equipment whose outage probability is in the gray zone. After waiting for a predetermined period of time, among the supervisor terminals 4 that have not received the reply mail, the supervisor terminals 4 corresponding to the non-monitored equipment whose confinement probability is estimated to be equal to or higher than the second threshold are subjected to second operation status acquisition. The unit 17 may resend the request mail. Then, the second driving condition acquisition unit 17 may wait for a predetermined time to receive the reply mail again.

According to the above-described configuration, if an abnormal shutdown were to occur, the non-monitored equipment, which was assumed to be confined with a high probability, was seconded to actively grasp the actual operating status as much as possible. A planning system 10 may be configured. As a result, it is possible to prevent a situation in which confinement is found later and the order of visits is revised, resulting in inefficiency in subsequent restoration work.

If the elevator equipment that was included in the dispatch plan was presumed to be "abnormally stopped" in operation, but was later found to be "locked in", the dispatch plan would be reviewed, such as by changing the order of dispatch. forced to

Therefore, the second operating condition acquisition unit 17 monitors equipment whose outage probability is equal to or higher than the second threshold and is identified as being subject to recovery without an inquiry, even if it is a non-monitored equipment whose confinement probability is in the gray zone. The non-target facility may be specified as an inquiry target for the presence or absence of confinement.

For example, the second operating status acquisition unit 17 acquires the operating status of the non-monitoring facility estimated to have a stop probability of at least a second threshold value and a confinement probability of at least a first threshold value and less than a second threshold value. A request may be made to the supervisor terminal 4 associated with the supervisor who monitors the external facility, along with a message asking whether or not confinement has occurred.

Specifically, the second operating status acquisition unit 17 selects the supervisor terminal corresponding to the non-monitored equipment estimated to have a probability of being stopped of 80% or more and a probability of confinement of 60% or more and less than 80%. 4, a request mail including a message asking whether or not to confine. The message inquiring whether or not the vehicle is confined may include a UI component for selecting and answering any of the operating conditions "abnormally stopped", "confined", or "normal operation". The message consists of a UI component for selecting and responding to either "abnormal stop" or "normal operation" for the operating status, and selecting either "confined" or "not confined" for response. It may be configured to include a UI component for

According to the above-described configuration, it is possible to quickly ascertain whether or not the non-monitoring equipment, which is assumed to be abnormally stopped with a high probability, is confined before searching for a secondment plan. As a result, it is possible to prevent a situation in which confinement is found later and the order of visits is revised, resulting in inefficiency in subsequent restoration work.

The dispatch planning system 10 may further include a disaster information acquisition unit 16 that acquires information indicating the degree of disaster for each region. The second operating status acquisition unit 17 obtains the operating status of non-monitored equipment located in an area where a disaster of a specified degree has occurred, and obtains the operating status of the non-monitored equipment by a supervisor linked to the monitor who monitors the non-monitored equipment. The request may be addressed to the terminal 4.

For example, if the disaster is an earthquake, the second operating status acquisition unit 17 sends a request to the monitor terminal 4 corresponding to the non-monitoring equipment located in an area where a seismic intensity equal to or greater than a specified seismic intensity has been announced. You may send an email.

According to the above configuration, it is possible to quickly grasp the operation status of non-monitored equipment located in an area where a specified level of disaster has occurred from the initial stage of the occurrence of the disaster. As a result, even if the elevator equipment is non-monitored equipment that is not subject to remote monitoring, it may be affected by the disaster, and in the temporary staffing planning system 10, the non-monitored equipment is subject to recovery or recovery. It can be treated as a target candidate. As a result, it is possible to formulate an accurate dispatch plan that takes into account the operational status of equipment not subject to monitoring when a disaster occurs. In addition, the non-monitored facilities that are taken into consideration in drafting the secondment plan are narrowed down to elevator facilities located in areas where disasters of a specified degree have occurred from among a huge number of non-monitored facilities. be Therefore, it is possible to prevent an inefficient secondment plan from being mixed with elevator equipment for which the need for secondment is low as restoration targets.

[Example of realization by software]
FIG. 19 is a block diagram showing an example of the hardware configuration of each device or system included in the maintenance system 1000. As shown in FIG.

The functions of one or a plurality of information processing devices that implement the secondment planning system 10 and the secondment arrangement system 20 can be implemented by a program that causes a computer to function as the information processing device. This program can be realized by a program for causing a computer to function as each control block of the information processing apparatus described above. The control blocks described above are, in particular, the first driving condition acquisition unit 11, the search unit 12, the travel time acquisition unit 13, the restoration target identification unit 14, the output control unit 15, the disaster information acquisition unit 16, and the second operation condition acquisition unit. Each part of the part 17.

In this case, the information processing device includes a computer 910 having at least one control device (eg processor 911) and at least one storage device (eg memory 912) as hardware for executing the above program. . The memory 912 stores, for example, the program 921 as the above program. Each function described in each of the above-described embodiments is realized by executing a program using the above-described control device and storage device.

The program described above may be recorded on one or more computer-readable recording media (for example, the recording medium 931) instead of being temporary. The recording medium may or may not be included in the information processing apparatus described above. In the latter case, the above program may be supplied to the information processing device via any wired or wireless transmission medium.

Also, part or all of the functions of each control block described above can be realized by a logic circuit. For example, an integrated circuit in which logic circuits functioning as the control blocks described above are formed is also included in the scope of the present invention. In addition, it is also possible to implement the functions of the control blocks described above, for example, by a quantum computer.

Also, each process described in each of the above-described embodiments may be executed by AI (Artificial Intelligence). In this case, the AI may operate on the control device, or may operate on another device (for example, an edge computer or a cloud server).

The present invention is not limited to the above-described embodiments, but can be modified in various ways within the scope of the claims, and can be obtained by appropriately combining technical means disclosed in different embodiments. is also included in the technical scope of the present invention.

1 front-end system 2 office device 3 terminal device 4 supervisor terminal 5 driving situation estimation device 6b elevator equipment installation information database 6d disaster occurrence information distribution device 10 dispatch planning system 11 first driving situation acquisition unit 12 search unit 13 travel time acquisition Unit 14 Restoration target identification unit 15 Output control unit 16 Disaster information acquisition unit 17 Second operating status acquisition unit 20 Temporary transfer arrangement system 31 Latest temporary transfer plan database 50 Control unit 51 Input data generation unit 52 Estimation unit 53 Output control unit 54 Storage unit 100 Secondment support system 200 Damage information providing system 300 Map information providing system 451 First learning model (first estimation model)
452 second learning model (second estimation model)
453 third learning model (third estimation model)
521 stop probability estimator (estimator)
522 boarding situation estimation unit (estimation unit)
523 Confinement probability estimator (estimator)
910 computer (information processing device)
911 processor (control device)
912 memory (storage device)
921 program 931 recording medium 1000 maintenance system

Claims (20)

a first operating status acquisition unit that acquires the operating status of a monitoring target facility that is the elevator facility capable of remotely monitoring the operating status of a plurality of elevator facilities located at different locations;
an estimating unit for estimating the probability of the operating status of non-monitored equipment, which is the elevator equipment whose operating status cannot be remotely monitored among the elevator equipment;
A second operation for obtaining the operating status of the non-monitoring facility for which the probability is equal to or greater than a first threshold and less than a second threshold, provided from a supervisor terminal of a supervisor capable of monitoring the non-monitoring facility. a status acquisition unit;
a restoration target identification unit that identifies a restoration target from among the elevator equipment;
Search for an optimal dispatch plan that is an optimal solution or a quasi-optimal solution of a dispatch plan in which a combination of restoration targets to which a group consisting of one or more workers to perform restoration work is scheduled to be dispatched and an order of dispatch are determined for each group. and a search unit for
The restoration target identification unit
The monitoring target facility whose operating status is acquired by the first operating status acquisition unit, the non-monitored facility whose operating status probability is estimated to be equal to or greater than the second threshold value by the estimating unit, and the second operating status A secondment planning system that identifies the non-monitored equipment whose operating status has been acquired by the acquiring unit as the restoration target. The estimating unit estimates a stop probability indicating a probability that the operation status of the non-monitored equipment is abnormally stopped,
wherein the second operating status acquisition unit acquires the operating status provided from the monitor terminal for the non-monitoring equipment for which the outage probability is estimated to be greater than or equal to the first threshold and less than the second threshold; Item 1. The secondment planning system according to Item 1. The second operating status acquisition unit acquires one of (1) abnormal stop, (2) user confinement, and (3) normal operation, and
3. The secondment according to claim 2, wherein the recovery target specifying unit specifies, as the recovery target, the non-monitored facility whose operating status is abnormally stopped or in which a user is confined. planning system. A recovery priority is associated with the elevator equipment,
The second operating status acquisition unit associates the non-monitoring equipment estimated to have the outage probability equal to or greater than the first threshold value and less than the second threshold value with the restoration priority higher than a predetermined degree. 4. The dispatch planning system according to claim 2 or 3, wherein the operation status provided from the monitor terminal is acquired for equipment not to be monitored. The estimating unit further estimates a confinement probability indicating a probability that the operation status of the non-monitored facility is confining a user,
wherein the second operating condition acquisition unit acquires the operating condition provided from the monitor terminal for the non-monitored facility estimated to have the confinement probability equal to or greater than the first threshold value and less than the second threshold value; Item 5. The secondment planning system according to any one of Items 2 to 4. The restoration target identification unit
The monitoring target equipment for which the operation status of the user being confined has been acquired by the first operating condition acquisition unit, and the non-monitoring equipment for which the confinement probability is estimated to be equal to or greater than the second threshold by the estimation unit. , identifying the non-monitored facility for which the operating status of the user being confined has been acquired by the second operating status acquisition unit as the recovery target in which the confinement has occurred;
6. The dispatch plan system according to claim 5, wherein in the dispatch plan, the dispatch order of the restoration target in which confinement has occurred is earlier than the dispatch order of the restoration target in which confinement has not occurred. A recovery priority is associated with the elevator equipment,
7. The dispatch plan system according to claim 5 or 6, wherein the dispatch plan is such that the higher the restoration priority, the earlier the dispatch order of the recovery targets for which confinement has not occurred. The second driving situation acquisition unit,
After the occurrence of a disaster, before the searching unit searches for the optimal seconding plan for the first time, the operating status of the non-monitored equipment whose confinement probability is estimated to be equal to or greater than the second threshold is monitored for the non-monitored equipment. request to the supervisor terminal associated with the supervisor to
Before the searching unit re-searches the optimal seconding plan for the second and subsequent times, the operating status of the non-monitoring facility estimated to be equal to or greater than the first threshold value and less than the second threshold value is checked by the monitoring unit. 8. The dispatch planning system according to any one of claims 5 to 7, further requesting said supervisor terminal linked to said supervisor who monitors non-target facilities. The second operating status acquisition unit obtains the operating status of the non-monitored equipment estimated to be equal to or greater than the second threshold value in the confinement probability. 9. The dispatch planning system according to any one of claims 5 to 8, wherein a request is sent to a person's terminal with information indicating that there is a high possibility that confinement has occurred. The second operating status acquisition unit obtains the operating status of the non-monitored equipment estimated to be equal to or greater than the second threshold value in the confinement probability. 10. The secondment planning system according to any one of claims 5 to 9, wherein the request is addressed to a supervisor terminal, and the request is resent to the supervisor terminal to which no response has been received within a predetermined time after sending the request. . The second operating status acquisition unit acquires the operating status of the non-monitored facility estimated to have the outage probability equal to or greater than the second threshold and the confinement probability equal to or greater than the first threshold and less than the second threshold. , requesting the monitoring person terminal linked to the monitoring person who monitors the non-monitored equipment, together with a message asking whether or not confinement has occurred. secondment planning system described in the paragraph. further comprising a disaster information acquisition unit that acquires information indicating the degree of disaster for each region,
The second operating status acquisition unit associates the operating status of the non-monitoring equipment located in the area where a disaster of the specified degree has occurred with the monitor who monitors the non-monitoring equipment. 12. The secondment planning system according to any one of claims 1 to 11, wherein the request is addressed to the monitor terminal that has been received. The estimating unit uses a first estimation model whose input data is location information indicating the location of the non-monitoring facility and disaster information including the extent of the disaster at the location, and calculates the operating status of the non-monitoring facility. 13. The staffing planning system according to any one of claims 1 to 12, which estimates a stop probability that indicates the probability that the is in an abnormal stop. The estimation unit
estimating a boarding probability, which is a probability that a user is boarding the non-monitored facility when the disaster occurs, using a second estimation model whose input data is the day of the week and the time period when the disaster occurred;
Using a third estimation model whose input data is the estimated outage probability and the estimated boarding probability, a confinement probability indicating the probability that a user is confined in the operation status of the non-monitored facility is estimated. 14. The secondment planning system according to claim 13, wherein: the disaster is an earthquake;
The degree of the disaster is (1) the seismic intensity at the location, or (2) the magnitude of the shaking at the location calculated from the magnitude of the epicenter, the distance from the epicenter, and the depth of the epicenter. The secondment planning system according to any one of claims 12 to 14. The search unit estimates completion of completion of restoration of all of the restoration targets, which is estimated by taking into account at least a total travel time for going to the restoration target and a total work time required for the recovery work of the recovery target. 16. The dispatching plan system according to any one of claims 1 to 15, wherein the dispatching plan having a relatively early time among the plurality of patterns of dispatching plans with different times is searched for as the optimum dispatching plan. The searching unit estimates, for each of the plurality of patterns of the dispatch plans, a time at which the recovery work for the recovery target whose dispatch order is the last is completed for each of the groups, and 17. The dispatch planning system according to claim 16, wherein the estimated completion time is a late time. 18. The secondment planning system according to claim 16, wherein said search unit generates each of said plurality of patterns of said secondment plans by alternation of generations according to a genetic algorithm. A control method executed by one or more information processing devices,
a first operating status acquisition step of acquiring the operating status of a monitoring target facility, which is the elevator facility capable of remotely monitoring the operating status of a plurality of elevator facilities located at different locations;
an estimating step of estimating the probability of the operating status of non-monitored equipment that is the elevator equipment whose operating status cannot be remotely monitored among the elevator equipment;
A second operation for obtaining the operating status of the non-monitoring facility for which the probability is equal to or greater than a first threshold and less than a second threshold, provided from a supervisor terminal of a supervisor capable of monitoring the non-monitoring facility. a status acquisition step;
a restoration target identification step of identifying a restoration target from among the elevator equipment;
Search for an optimal dispatch plan that is an optimal solution or a quasi-optimal solution of a dispatch plan in which a combination of restoration targets to which a group consisting of one or more workers to perform restoration work is scheduled to be dispatched and an order of dispatch are determined for each group. and a searching step for
The restoration target identification step includes:
The monitoring target facility whose operating status is acquired by the first operating status acquisition step, the non-monitored facility for which the probability of the operating status is estimated to be equal to or greater than the second threshold value by the estimation step, and the second operating status A control method, wherein the non-monitoring facility whose operating status is acquired in the acquiring step is specified as the restoration target. 2. A program for causing a computer to function as the secondment planning system according to claim 1, comprising the first operating condition acquiring unit, the estimating unit, the second operating condition acquiring unit, the recovery target specifying unit, and the searching unit. A program that allows a computer to function as a

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