JP2023006806A - Operating state display system, control method, and program - Google Patents

Abstract

To grasp an overall image of a recovery target from the beginning of disaster.SOLUTION: An operating state display system (100) includes: a target facility state acquisition unit (10) that acquires an operating state automatically collected from a monitored facility which is an elevator facility that can be remotely monitored; a non-target facility state acquisition unit (11) that acquires an operating state manually input which is an operating state of a non-monitored facility which is an elevator facility that cannot be remotely monitored; a non-target facility state estimation unit (52) that estimates an operating state of the non-monitored facility; and a display control unit (12) that displays on a display unit a display screen (700) in which an operating state of the elevator facility is superimposed on a map of an area including a location of the elevator facility. The operating state includes at least normal operation and stopping. The display control unit displays, in a distinguishable display mode, a case where the operating state indicates normal operation, a case where the automatically collected operating state indicates stopping, a case where the manually input operating state indicates stopping, and a case where the estimated operating state indicates stopping.SELECTED DRAWING: Figure 22

Description

The present invention relates to an operating condition display system, a control method, and a program for displaying an operating condition to be restored.

Patent Literature 1 discloses a technique for displaying on a map information as to whether the elevator equipment in the area to which the user belongs is operating or not.

Japanese Patent No. 6490605

Elevator facilities include those for which the operating status can be grasped in real time by remote monitoring, and those for which the operating status cannot be grasped until receiving contact by telephone or the like because they are not subject to remote monitoring. Therefore, after a disaster occurs, especially in the initial stage, the need for restoration of elevator equipment that is not subject to remote monitoring will gradually become clear over time. becomes difficult. This can lead to inefficiencies and delays in recovery work.

An object of one aspect of the present invention is to make it possible to comprehend the overall image of a recovery target from the time a disaster occurs.

In order to solve the above-described problems, an operating status display system according to an aspect of the present invention automatically collects from monitoring target equipment, which is elevator equipment capable of remotely monitoring operating conditions among a plurality of elevator equipment located at different locations. A target facility status acquisition unit that acquires the operating status, and a non-target facility that acquires the manually input operating status of the non-monitored facility that is the elevator facility that cannot remotely monitor the operating status among the elevator facilities. a status acquisition unit, a non-monitored facility status estimation unit that estimates the operating status of the non-monitoring facility, and a display screen that displays the operating status of the elevator facility superimposed on a map representing an area including the location of the elevator facility. is displayed on the display unit, the driving conditions include at least normal operation and stop, and the display control unit controls when the driving conditions are normal operation and when the automatically collected driving conditions are A case where the vehicle is stopped, a case where the manually input driving situation is a stop, and a case where the estimated driving situation is a stop are displayed in a display mode that allows discrimination.

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 target facility status acquisition step of acquiring the operating status automatically collected from the monitored facility that is the elevator facility that can be monitored, and the operating status of the non-monitored facility that is the elevator facility that cannot be remotely monitored among the elevator facilities a non-target facility status acquisition step of acquiring the manually input operating status, a non-target facility status estimation step of estimating the operating status of the non-monitored facility, and a map representing an area including the location of the elevator facility. a display control step of displaying on a display unit a display screen in which the operating status of the elevator equipment is superimposed thereon, the operating status includes at least normal operation and stop, and the display controlling step comprises: A case of normal operation, a case where the automatically collected operating situation is stopped, a case where the manually input operating situation is stopped, and a case where the estimated operating situation is stopped are distinguished. Display in a possible display mode.

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

ADVANTAGE OF THE INVENTION According to one aspect of the present invention, it is possible to comprehend the overall image of the recovery target from the beginning of the disaster.

1 is a block diagram showing an example of a schematic configuration of a learning model generation device according to Embodiment 1 of the present invention; FIG. FIG. 4 is a diagram showing an example of data stored in a disaster record database; FIG. It is a figure which shows the example of the data structure of the seismic intensity of each place. FIG. 4 is a diagram showing an example of a data structure of shake characteristics; It is a figure which shows the example of the data memorize|stored in the elevator equipment installation information database. It is an image diagram showing the positional relationship between the epicenter of an earthquake that occurred in the past and elevator equipment. It is a figure which shows the example of the data memorize|stored in the driving|running condition information database. It is a figure which shows the example of the data structure of a driving situation. 6 is a flowchart showing an example of the flow of learning model generation processing by a learning model generation device; FIG. 4 is a block diagram showing an example of a schematic configuration of a learning model generation device according to Embodiment 2 of the present invention; It is a figure which shows the example of the data memorize|stored in the elevator equipment installation information database. It is an image diagram showing the positional relationship between the epicenter of an earthquake that occurred in the past and elevator equipment. It is a figure which shows the example of the data memorize|stored in the driving|running condition information database. FIG. 11 is a block diagram showing an example of a schematic configuration of a driving situation estimation device according to Embodiment 3 of the present invention; It is a figure which shows the example of the data structure of the disaster occurrence information distributed from the disaster occurrence information distribution apparatus. It is a figure which shows the example of the data structure of the seismic intensity of each place. FIG. 4 is a diagram showing an example of a data structure of shake characteristics; It is a figure which shows the example of the location information of a noted elevator installation, building information, and installation information. It is an image diagram showing the positional relationship between the epicenter of the latest earthquake and elevator equipment. 6 is a flowchart showing an example of the flow of processing for estimating the operating condition of the elevator installation of interest by the operating condition estimating device; It is a figure which shows an example of the estimation result output from a driving condition estimation apparatus. FIG. 10 is a block diagram showing the main configuration of a driving situation display system according to Embodiment 4 of the present invention; It is a figure which shows an example of the data structure of a facility database. It is a figure which shows an example of the display screen produced|generated by the display control part. It is a figure which shows an example of the display screen produced|generated by the display control part. It is a figure which shows an example of the display screen produced|generated by the display control part. It is a figure which shows an example of the icon which visualizes the probability of the operating condition of non-monitoring equipment. It is a figure which shows an example of the icon which visualizes the probability of the operating condition of non-monitoring equipment. It is a figure which shows an example of the icon which visualizes the probability of the operating condition of non-monitoring equipment. It is a figure which shows an example of the icon which visualizes the probability of the operating condition of non-monitoring equipment. It is a figure which shows an example of the icon which visualizes the probability of the operating condition of non-monitoring equipment. FIG. 11 is a flow chart showing an example of the flow of driving condition display processing executed by the driving condition display system according to Embodiment 4 of the present invention; FIG. 1 is a block diagram showing an example of the hardware configuration of the system or device of the present invention; FIG.

[Embodiment 1]
An embodiment of the present invention will be described in detail below with reference to FIGS. 1 to 9. FIG.

(Configuration of learning model generation device 4)
First, FIG. 1 shows the configuration of the learning model generation device 4 that performs machine learning for generating the learning model 451 that outputs the operating status of the elevator equipment using the location information of the elevator equipment and the disaster information as input data. will be used for explanation. FIG. 1 is a block diagram showing an example of a schematic configuration of a learning model generation device 4 according to Embodiment 1 of the present invention. Here, the elevator equipment is typically a passenger conveyor, an elevator, or the like.

The learning model generation device 4 may include a control section 40 and a storage section 45 . The control unit 40 may be, for example, a CPU (Central Processing Unit). The control unit 40 controls to execute processing of each function provided in the learning model generation device 4 . The storage unit 45 is a storage device in which various computer programs read by the control unit 40, data used in various processes executed by the control unit 40, and the like are stored.

In this specification, the learning model generating device 4 capable of generating teacher data for generating the learning model 451 will be described as an example, but the invention is not limited to this. For example, the learning model generation device 4 may store teacher data (not shown) generated in advance by another device in the storage unit 45, and use this to generate the learning model 451. . When this configuration is adopted, the learning section 42 may read out and use the teacher data stored in the storage section 45 . Therefore, in the learning model generation device 4, the later-described teacher data generation unit 41 is not an essential component.

The control unit 40 has a teacher data generation unit 41 and a learning unit 42 .

The learning unit 42 performs machine learning using the teacher data to generate a learning model 451 that outputs the operating status of the elevator installation of interest using the location information of the elevator installation of interest and the disaster information as input data. The training data includes 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. Here, the elevator equipment of interest is intended to be an elevator equipment whose operation status is to be estimated by the learning model when a disaster occurs.

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 teacher data generation unit 41 generates teacher data for generating the learning model 451 . For example, the training data generation unit 41 may use disaster records of past disasters acquired from the disaster record database 6a to generate disaster information including the extent of the disaster at the location of the elevator equipment. The disaster record database 6a may be, for example, a database managed by the Japan Meteorological Agency. Further, the training data generating unit 41 may acquire location information indicating the location of the building where the elevator equipment is installed (that is, the location of the elevator equipment) from the elevator equipment installation information database 6b. The elevator equipment installation information database 6b may be, for example, a database managed by a business establishment that undertakes the installation of elevator equipment. Further, the teaching data generation unit 41 may acquire operating status information indicating the operating status of the elevator equipment when past disasters occurred from the operating status information database 6c. The operating status information database 6c may be, for example, a database managed by an office that undertakes management and inspection of elevator equipment.

Specific examples of disaster information, location information, and driving status information will be described below.

[Disaster Information]
First, disaster information will be described using FIG. 2 while referring to FIGS. 3 and 4. FIG. FIG. 2 is a diagram showing an example of data stored in the disaster record database 6a. Here, an earthquake is taken as an example for explanation, but the present invention is not limited to this. Disasters may be, for example, heavy rains, typhoons, tsunamis, volcanic activity, and the like. These can be disasters that may cause the power supply to the elevator equipment to stop or the elevator equipment to stop in an emergency. In the disaster record database 6a, data relating to the date and time of occurrence, the name of the epicenter, the maximum seismic intensity, the epicenter and the depth of the epicenter, the seismic intensity 61 of each place, and the characteristics 62 of shaking are recorded in correspondence with each disaster. As shown in FIG. 2, each disaster may be given a disaster ID, which is a unique identification number. The disaster ID may be a nickname given to each disaster. For example, if the disaster is a typhoon, each typhoon may be given a unique name.

Here, a more specific description will be given by taking as an example an earthquake assigned a disaster ID of "EQ2003**" (hereinafter referred to as "earthquake EQ2003**") in FIG. Earthquake EQ2003** is an earthquake that occurred "off the coast of Z prefecture" on "March 25, 2020." The maximum seismic intensity of earthquake EQ2003** is "4", and the magnitude indicating the scale of the earthquake is "6.2". The epicenter of the earthquake EQ2003** is "North latitude, Zzz degree east longitude", and the depth of the epicenter is "40km".

The seismic intensity 61 in each place may be seismic intensity information observed at various observation points when the earthquake EQ2003** occurred, and as shown in FIG. Municipalities may be associated with each other. According to Figure 3, a maximum seismic intensity of 4 was observed in "Z Prefecture ** City" and "Z Prefecture A City", etc., and a seismic intensity of 3 was observed in "Z Prefecture D City" and "Z Prefecture B City". .

The sway characteristics 62 may include information indicating the sway direction, acceleration, and sway period observed in earthquake EQ2003**. As shown in FIG. 4, the shake characteristic 62 records the acceleration of the shake observed when the earthquake EQ2003** occurred for each of the north-south component, east-west component, and vertical component. In the example shown in FIG. 4, the sway characteristics 62 include the combined maximum acceleration of the sway "( **Gal)” is also recorded. The sway characteristics 62 may include observed sway magnitude (amplitude), sway period, and the like. In the example shown in FIG. 4, the shaking characteristic 62 records that the shaking period was "0.8 sec." Note that the shaking characteristics 62 may record the shaking characteristics in each region where the shaking was observed for each region.

Elevator equipment may be provided with a sway sensor that detects the magnitude of the sway and the acceleration of the sway. Therefore, the teacher data generator 41 may use the magnitude and acceleration of the shaking detected by the shaking sensor provided in the elevator equipment as the degree of the disaster. On the other hand, in the case of an elevator facility that is not equipped with such sensors, the training data generation unit 41 may calculate the extent of the disaster based on the disaster record and the location information described later.

[Location information]
Next, location information will be described using FIG. 5 while referring to FIG. FIG. 5 is a diagram showing an example of data stored in the elevator equipment installation information database 6b. In the elevator equipment installation information database 6b, the location of the building where the elevator equipment is installed is recorded in association with each installed elevator equipment. In addition, as shown in FIG. 5, an elevator equipment ID, which is a unique identification number, may be assigned to each installed elevator equipment. According to FIG. 5, the elevator equipment whose elevator equipment ID is "EV001" (hereinafter referred to as elevator equipment EV001) is installed in "Building B" in "1-chome A-cho, ** city, Z prefecture." It is An elevator facility with an elevator facility ID of "EV026" (hereafter referred to as elevator facility EV026) is installed in "L Heights" in "2*No.*, D City, Z Prefecture".

FIG. 6 is an image diagram showing the positional relationship between epicenters of past earthquakes and elevator equipment. Figure 6 shows the epicenter (indicated by "X" in the figure) of earthquake EQ2003** (see Figure 2), "Z Prefecture ** City" facing "XX Sea", and "Z Prefecture ** City". ”, “D city in Z prefecture” and “F city in Z prefecture” are shown. FIG. 6 also shows the locations of the elevator installation EV001 and the elevator installation EV026. Note that major roads are also illustrated in FIG. In FIG. 6, the distance from the epicenter of earthquake EQ2003** to the elevator installation EV001 is shorter than the distance from the epicenter of earthquake EQ2003** to the elevator installation EV026. A seismic intensity of "4" was observed in "Z Prefecture ** City", which is close to the epicenter, and a seismic intensity of "3" was observed in "Z Prefecture D City" (see Figure 3).

The training data generation unit 41 may use the seismic intensity at the location of each elevator installation, which is specified based on the seismic intensity of each place included in the disaster information, as the degree of the disaster. Alternatively, the training data generation unit 41 may generate (1) the location of the epicenter, the magnitude indicating the scale of the earthquake, and the depth of the epicenter included in the disaster information, and (2) the distance between the location of each elevator equipment and the epicenter. You may use the magnitude|size of the shaking in the location of each elevator installation calculated from , as a degree of disaster.

[Driving status information]
Next, the driving situation information will be explained using FIG. 7 while referring to FIG. 8 . FIG. 7 is a diagram showing an example of data stored in the driving situation information database 6c. The operation status information database 6c records the operation status of elevator equipment for each disaster that occurred in the past.

The driving situation 63 when earthquake EQ2003** occurs will be described as an example with reference to FIG. FIG. 8 is a diagram showing an example of the data structure of the driving situation 63. As shown in FIG. Earthquake EQ2003**, as shown in FIG. 2, is an earthquake that occurred "off the coast of Z prefecture" on "March 25, 2020." The operating status 63 records the operating status of each elevator equipment when EQ2003** occurs. Here, the operating status 63 may include at least normal operation and stop. Note that the operation status 63 may record the results of work (for example, recovery work) performed on each elevator installation. For example, FIG. 8 records that the elevator installation EV001 stopped when the earthquake EQ2003** occurred, and that restoration work was performed on March 27, 2020. In addition, FIG. 8 records that the elevator equipment EV026 was not stopped when the earthquake EQ2003** occurred and was operating normally, and that only inspection was performed without restoration work being performed. .

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.

(Processing for generating learning model 451)
Next, processing for generating the learning model 451 will be described using FIG. FIG. 9 is a flowchart showing an example of the flow of processing for generating the learning model 451 by the learning model generation device 4. As shown in FIG.

First, the training data generator 41 acquires a disaster record, location information indicating the location of the elevator equipment, and operating status information indicating the operating status of the elevator equipment when the disaster occurred (step S41).

Subsequently, the training data generation unit 41 generates training data including location information, disaster information including the extent of the disaster at the location of the elevator equipment, and driving status information (step S42).

Next, the learning unit 42 inputs disaster information and location information to learning model candidates. Here, the learning model candidate is intended to be a learning model for which machine learning has not been completed. When predetermined machine learning is completed, the learning model candidate is stored in the storage unit 45 as a learning model 451 (learned model). Here, the machine learning algorithm for generating the learning model 451 is not limited to this, but for example, a neural network can be used.

The learning unit 42 obtains an estimation result obtained by the learning model candidate estimating the operation status of the elevator equipment corresponding to the input disaster information and location information, and the operation of the elevator equipment associated with the input disaster information and location information. The error is calculated by comparing with the situation information (step S44). The learning unit 42 updates the learning model candidates so that the error calculated in step S44 is minimized (step S45).

Updating the learning model candidate may include performing the following so as to minimize the error between the estimation result estimated by the learning model candidate and the driving situation information.
- Updating learning model candidates by updating weights between nodes, hyperparameters, etc. - Generating new learning model candidates To update learning model candidates, an error backpropagation method or the like may be applied.

When the predetermined machine learning is completed, the learning unit 42 stores the learning model candidate at that point in the storage unit 45 as the learning model 451 .

The learning model generation device 4 includes 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 in the past. A learning model 451 is generated by machine learning using data. When a new disaster occurs, the learning model 451 generated in this way estimates the operating status of the elevator equipment in response to input of the location information of the elevator equipment and the disaster information of the disaster that has occurred. You can output the result. The learning model 451 can be applied to the operating status estimation device 5 that estimates the operating status of each elevator facility when a disaster occurs based on the operating status of each elevator facility when a disaster occurred in the past. The driving situation estimation device 5 will be described later (see FIG. 14).

[Embodiment 2]
A learning model generation device 4a capable of generating a learning model 451a capable of more accurately estimating the operating conditions of elevator equipment when a disaster occurs will be described with reference to FIGS. 10 to 13. . 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.

(Configuration of learning model generation device 4a)
The configuration of the learning model generation device 4a that performs machine learning for generating the learning model 451a that outputs the operating status of the elevator equipment using the location information of the elevator equipment and the disaster information as input data will be described with reference to FIG. explain. FIG. 10 is a block diagram showing an example of a schematic configuration of a learning model generation device 4a according to Embodiment 2 of the present invention.

The learning model generation device 4 a may include a control section 40 a and a storage section 45 . The control unit 40a may be, for example, a CPU. The control unit 40a controls to execute processing of each function provided in the learning model generation device 4a. The storage unit 45 is a storage device that stores various computer programs read by the control unit 40a, data used in various processes executed by the control unit 40a, and the like.

The control unit 40a includes a teacher data generation unit 41a and a learning unit 42a.

The learning unit 42a performs machine learning using the teacher data to generate a learning model 451a that outputs the operating status of the elevator equipment of interest, using the location information of the elevator equipment of interest and the disaster information as input data. The training data may include at least one of facility information, building information, and driving situation information in addition to location information, disaster information, and driving situation information.

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 construction 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.

FIG. 10 shows a learning model generation device 4a capable of generating teacher data including location information, disaster information, driving situation information, facility information, building information, and peripheral driving situation information. The teacher data generation unit 41a generates teacher data for generating the learning model 451a. For example, the training data generation unit 41a may acquire location information, facility information, and building information indicating the location of the building where the elevator facility is installed (that is, the location of the elevator facility) from the elevator facility installation information database 6b. Further, the teacher data generator 41 may acquire the driving situation information and the peripheral driving situation information from the driving situation information database 6c.

Elevator equipment includes elevator equipment that has a controlled operation function to make an emergency stop in the event of a disaster, and elevator equipment that does not have a controlled operation function. Therefore, the training data used to generate the learning model 451 may further include equipment information indicating at least one of the model and specifications of the elevator equipment.

Seismic standards that buildings must meet are reviewed and subject to change. Buildings completed before the change in earthquake resistance standards meet the old earthquake resistance standards, and buildings completed after the change in earthquake resistance standards meet the new earthquake resistance standards. Thus, if the completion date of a building is known, it is possible to determine whether the earthquake resistance standard applied to the building is the old earthquake resistance standard or the new earthquake resistance standard. Seismic specifications include seismic isolation and seismic structures. Seismic resistance grades 1 to 3 can be applied to housing earthquake resistance specifications. Even buildings to which the old seismic standards were applied may meet the new seismic standards by implementing seismic reinforcement work. Therefore, the training data used to generate the learning model 451 may include building information indicating at least one of the construction completion date and earthquake resistance specifications of the building in which the elevator equipment is installed.

In addition, when a disaster occurs, the extent to which the disaster affects the operating conditions of elevator equipment is also affected by the type of structure of each building. Examples of structural types include reinforced concrete construction (RC construction), steel frame construction (S construction), steel frame reinforced concrete construction (SRC construction), and the like. Buildings with different structural types have different magnitudes of shaking during an earthquake. Therefore, the building information used for the teacher data used to generate the learning model 451 may include the structural type of the building in which the elevator equipment is installed.

As described above, elevator equipment includes monitored equipment, which is elevator equipment whose operating conditions can be remotely monitored, and unmonitored equipment, which is elevator equipment whose operating conditions cannot be remotely monitored. Therefore, the training data used by the learning model generation device 4a to generate the learning model 451a is located within a predetermined range from the elevator equipment, and the operating status of the peripheral equipment, which is the elevator equipment, which can be remotely monitored when a disaster occurs. may include peripheral driving situation information indicating the driving situation of the

The operational status of non-monitored equipment cannot be known until the owner or user of the building contacts him or he actually confirms it on site. However, when a disaster occurs, the damage status and operating status of nearby facilities can be used as a reference for the damage status and operating status. Since the operating status of the monitoring target equipment is constantly monitored remotely, the operating status is also notified to the business office when an earthquake occurs. Therefore, it is possible to improve the certainty of estimating the operating status of the non-monitoring facility by also considering the operating status of the peripheral facilities of the non-monitoring facility.

Specific examples of facility information, building information, and surrounding driving status information will be described below.

[Equipment information and building information]
First, facility information and building information will be described with reference to FIG. FIG. 11 is a diagram showing an example of data stored in the elevator equipment installation information database 6b. In the elevator equipment installation information database 6b, in addition to the location of the building where the elevator equipment is installed, equipment information and building information are recorded in association with each elevator equipment. Each elevator equipment may include information indicating whether it is a monitored equipment that can be remotely monitored or a non-monitored equipment that cannot be remotely monitored.

According to FIG. 11, the elevator equipment EV001 is installed in a “reinforced concrete (RC)” building completed on “**month**day, 1979”. This building complies with the old seismic standards. The model of the elevator equipment EV001 is "A03", and its specification is provided with "controlled operation function". The elevator equipment EV002 is installed in a "reinforced steel concrete (SRC)" building that was completed on "**month**day, 1979". This building complies with the old seismic standards. The model of the elevator equipment EV002 is "C05", and its specification is provided with "controlled operation function". The elevator equipment EV010 is installed in a “reinforced concrete (RC)” building completed on “** month ** day, 2015”. This building complies with the new seismic standards. The model of the elevator equipment EV010 is "D01", and its specification is provided with "controlled operation function". Elevator equipment EV026 is installed in a “steel-framed (S)” building that was completed on “**month**day, 2018”. This building complies with the new seismic standards. The model of the elevator equipment EV026 is "P12", and its specifications do not include the "controlled operation function".

[Peripheral driving status information]
According to FIG. 11, the elevator installation EV002 and the elevator installation EV010 are facilities to be monitored, and the elevator installation EV001 and the elevator installation EV026 are facilities not to be monitored. The peripheral operating status information will be explained using the positional relationship of these elevator installations. FIG. 12 is an image diagram showing the positional relationship between epicenters of past earthquakes and elevator installations EV001, EV002, EV010, and EV026. Both the elevator installation EV001 and the elevator installation EV002 are located in ** city in Z prefecture. The elevator installation EV010 is located in F City, Z Prefecture, and the elevator installation EV026 is located in D City, Z Prefecture. Equipment to be monitored is indicated by black circles, and equipment not to be monitored is indicated by white circles.

As shown in FIG. 12, the elevator installation EV002 is positioned within a predetermined range (indicated by a dashed circle in the figure) from the elevator installation EV001. Moreover, since the elevator installation EV002 is a facility to be monitored, the elevator installation EV002 is a peripheral facility of the elevator installation EV001. Similarly, the elevator installation EV010 is located within a predetermined range (indicated by a dashed circle in the figure) from the elevator installation EV026. Moreover, since the elevator installation EV010 is a facility to be monitored, the elevator installation EV010 is a peripheral facility of the elevator installation EV026.

The teacher data generator 41a may acquire the driving situation information and the peripheral driving situation information from the driving situation information database 6c. FIG. 13 is a diagram showing an example of data stored in the driving situation information database 6c. The operating statuses of the elevator installation EV002 and the elevator installation EV010 are peripheral operating status information of the elevator installation EV001 and the elevator installation EV026, respectively.

[Embodiment 3]
By adopting the learning models 451 and 451a generated by the learning model generation devices 4 and 4a according to the above-described embodiments, it is possible to realize the operating situation estimation device 5 capable of estimating the operating situation of elevator equipment. The driving situation estimation device 5 will be described below with reference to FIGS. 14 to 21. FIG. 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.

(Configuration of Driving Situation Estimating Device 5)
First, using the learning models 451 and 451a, the location information of the elevator installation of interest and the disaster information as input data, the configuration of the operating situation estimation device 5 that estimates the operating situation of the elevator installation of interest will be described with reference to FIG. explain. FIG. 14 is a block diagram showing an example of a schematic configuration of the driving situation estimation device 5 according to Embodiment 3 of the present invention. Here, the driving situation estimation device 5 to which the learning model 451a is applied will be described as an example. Each function of the driving situation estimation device 5 can be realized by replacing the learning model 451a with the learning model 451 in the following description.

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.

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 data to the learning model 451a. When this configuration is adopted, the learning section 42 may read out and use the teacher data stored in the storage section 45 . Therefore, in the driving situation estimation device 5, the later-described input data generation unit 51 is not an essential component.

The controller 50 includes an input data generator 51 , an estimator 52 and an output controller 53 .

The input data generator 51 generates input data to be input to the learning model 451a. For example, the input data generation unit 51 may use the disaster occurrence information about the disaster that has occurred from the disaster occurrence information distribution device 6d to generate disaster information including the extent of the disaster at the location of the elevator installation of interest. 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. The input data generation unit 51 may also acquire peripheral operating status information indicating the operating status of peripheral facilities located within a predetermined range from the elevator facility of interest from the elevator facility remote monitoring device 6e. The elevator equipment remote monitoring device 6e may be, for example, a device managed by a business office that undertakes management of the equipment to be monitored. 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 estimation unit 52 estimates the probability of the operating status of the elevator installation of interest. The estimating unit 52 inputs input data to the learning model 451a, and outputs output data that is the result of estimating the operation status of the elevator installation of interest.

The output control unit 53 outputs the output data from the estimation unit 52 to an external device. For example, the output control unit 53 causes the display device 9 to display the estimation result output by the estimation unit 52 . Here, the display device 9 may be a display that is communicably connected to the driving situation estimation device 5 by wire or wirelessly. In one example, the driving situation estimation device 5 may be a personal computer and a tablet terminal, and in this case, the display device 9 may be a display included in the personal computer and the tablet terminal. Further, the output control unit 53 may store the estimation result output by the estimation unit 52 in the storage unit 54 of the driving situation estimation device 5 or another storage device.

[Disaster occurrence information]
The disaster occurrence information will be described below using FIG. 15 while referring to FIGS. 16 and 17. FIG. FIG. 15 is a diagram showing an example of the data structure of disaster occurrence information delivered from the disaster occurrence information delivery device 6d. The information distributed from the disaster occurrence information distribution device 6d includes the date and time of occurrence, the name of the epicenter, the maximum seismic intensity, the epicenter and the depth of the epicenter, the disaster ID, the seismic intensity of each place, and the characteristics of the shaking. can be included.

FIG. 15 shows disaster occurrence information for an earthquake with a disaster ID of "EQ2106**" (hereinafter referred to as earthquake EQ2106**). Earthquake EQ2106** is an earthquake that occurred on "June **, 2021" off the coast of Z prefecture. The maximum seismic intensity of earthquake EQ2106** is "4", and the magnitude indicating the scale of the earthquake is "3.8". The epicenter of the earthquake EQ2106** is "Non latitude, East longitude mmm", and the depth of the epicenter is "30km".

The seismic intensity 61a in each place is the seismic intensity information observed at the observation points in each place when the earthquake EQ2106** occurred. As shown in FIG. may be associated with. According to Figure 16, a maximum seismic intensity of 4 was observed in "Z prefecture ** city" and "Z prefecture A city", etc., and a seismic intensity of 3 was observed in "Z prefecture F city" and "Z prefecture B city". is shown.

The sway characteristics 62a may include information indicating the sway direction, acceleration, and sway period observed in earthquake EQ2106**. As shown in FIG. 17, the shake characteristic 62a shows the acceleration of the shake observed when the earthquake EQ2106** occurred for each of the north-south component, east-west component, and vertical component. The sway characteristics 62a may include the observed sway magnitude (amplitude), sway period, and the like. In the example shown in FIG. 17, the shaking characteristic 62a indicates that a shaking period of "1.2 sec" was measured. Note that the shaking characteristic 62a may be distributed for each area in which shaking is observed in each area.

Next, the location information, building information, and equipment information of the elevator equipment of interest will be described using FIG. 18 while referring to FIG. 19 . FIG. 18 is a diagram showing an example of the location information, building information, and equipment information of the elevator equipment of interest.

FIG. 19 is an image diagram showing the positional relationship between the epicenter of earthquake EQ2106** and elevator equipment. FIG. 19 shows the epicenter (indicated by “X” in the figure) of earthquake EQ2106** (see FIG. 15). FIG. 19 also shows the locations of the elevator installation EV001, the elevator installation EV002, the elevator installation EV010, the elevator installation EV026, and the elevator installation EV050. Note that major roads are also illustrated in FIG.

The input data generation unit 51 may use the seismic intensity at the location of each elevator installation, which is specified based on the seismic intensity of each place included in the disaster occurrence information, as the extent of the disaster. Alternatively, the training data generation unit 41 may generate (1) the location of the epicenter, the magnitude indicating the scale of the earthquake, and the depth of the epicenter included in the disaster information, and (2) the distance between the location of each elevator equipment and the epicenter. You may use the magnitude|size of the shaking in the location of each elevator installation calculated from , as a degree of disaster.

The input data may include operating conditions at the time of the disaster, which are obtained by remotely monitoring peripheral equipment located within a predetermined range from the elevator equipment of interest. In FIG. 19, elevator installation EV002 is peripheral equipment of elevator installation EV001, and elevator installation EV010 is peripheral equipment of elevator installation EV026 and elevator installation EV050. In addition, the input data may further include at least one of equipment information of the elevator installation of interest (equipment not to be monitored) and building information of the elevator installation of interest (equipment not to be monitored). By inputting these pieces of information into the learning model 451a together with location information, disaster information, and driving situation information, the driving situation estimation device 5 can output more reliable estimation results.

(Processing executed by driving situation estimation device 5)
Next, processing executed by the driving situation estimation device 5 will be described using FIG. 20 while referring to FIG. 21 . FIG. 20 is a flowchart showing an example of the flow of processing for estimating the operating condition of the elevator installation of interest by the operating condition estimation device 5 .

First, the input data generation unit 51 acquires disaster occurrence information, peripheral operating status information, location information of the elevator equipment of interest, building information, and equipment information (step S51).

Subsequently, the input data generator 51 generates input data including disaster information and location information of the elevator installation of interest (step S52).

On the other hand, the estimation unit 52 reads the learning model 451a from the storage unit 54 (step S53). Subsequently, the estimating unit 52 inputs the input data generated in step S52 to the learning model 451a, and estimates the operation status of the elevator installation of interest (step S54: estimating step).

The estimation unit 52 outputs the estimation result (step S55). FIG. 21 is a diagram showing an example of an estimation result output from the driving situation estimation device 5. As shown in FIG. The estimation result may be the probability of the operating status of the elevator installation of interest. For example, the operating condition estimating device 5 may output the operating condition of each elevator installation as a probability of stopping as shown in FIG. 21 or as a probability of normal operation. According to FIG. 21, when a disaster (e.g. earthquake EQ2106**) occurs, the probability that the elevator equipment EV001 is stopped is "80%", and the probability that the elevator equipment EV026 is stopped is "15%". ”. The probability related to the operating condition output as the estimation result serves as a reference in determining the necessity of secondment for restoration work. For example, dispatching for restoration work on elevator equipment EV001, which has an 80% probability of being stopped, should be prioritized over dispatching for restoration work on elevator equipment EV026, which has a 15% probability of being stopped. be. The estimation result output from the estimation unit 52 may be output to the display device 9 via the output control unit 53, or may be output to the driving situation display system 100, which will be described later.

Here, the driving situation estimation device 5 that employs the learning model 451 a has been described as an example, but the driving situation estimation device 5 may employ the learning model 451 . In this case, the operating condition estimating device 5 may input the location information of the elevator equipment of interest and the disaster information to the learning model 451 to estimate the operating condition of the elevator equipment of interest.

[Embodiment 4]
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.

<Overview of maintenance system>
An embodiment of the present invention will be described in detail below. FIG. 22 is a block diagram showing an overview of the 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 operating condition display system 100 . The driving situation display system 100 is connected to, for example, a front end system 1, a damage information providing system 200, a map information providing system 300, an office device 2, and a terminal device 3 (information terminal) via a communication network such as the Internet. communicatively connected to other devices.

(for each system and each device)
In the maintenance system 1000, the operating status display system 100 has a function of presenting the operating status of the restoration target to the parties concerned. The driving situation display system 100 consists of hardware and software configurations for realizing the functions presented above. The driving situation display system 100 of the present disclosure may be configured by one information processing device including a hardware and software configuration group, 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.

The destination to which the operating status display system 100 presents the operating status may be, for example, the front-end system 1 (display unit) operated by an operator who works for a maintenance company that supervises all of the business establishments that carry out restoration work. Alternatively, the presentation destination of the driving situation may be the office device 2 (display unit) operated by the operator working at the office. Alternatively, the presentation destination of the operating status is a work group belonging to one of the offices, and is operated by a worker of a work group (hereinafter simply referred to as "group") that performs restoration work on a plurality of restoration targets. may be the terminal device 3 (display unit). The worker mentioned above may be, for example, the group leader GL of the group.

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 at least the driving situation display system 100 . The front-end system 1, as an input/output device, assists the operator in inputting information to the driving situation display system 100, acquires information output from the driving situation display system 100, and presents it to the operator. do. An arbitrary communication network is used to connect the front-end system 1 and the driving situation display system 100 . 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 driving situation display system 100 and the terminal device 3 via any communication network.

The terminal device 3 is a device operated by the group leader 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 may be communicably connected to the driving situation display system 100 via any communication network. The terminal device 3 may be communicably connected to the office device 2 .

The damage information providing system 200 monitors the elevator equipment maintained by the maintenance company, collects information on each elevator equipment, and provides the operating status display system 100 with the information. Specifically, when a disaster such as an earthquake occurs, the damage information providing system 200 collects information on the damaged elevator equipment. Then, when events such as stoppages or failures occur simultaneously in a large number of elevator equipment, the damage information providing system 200 generates operating status information indicating the operating status of the elevator equipment in the disaster area. The operational status may include at least normal operation and shutdown. In other words, the operating status information generated here indicates whether the operating status is "stopped" or "normal operation" for each elevator facility located in the disaster area, similar to the operating status information shown in FIG. At least the information shown. The driving situation information is transmitted from the damage information providing system 200 to the driving situation display system 100 via the communication network.

As an example, in this embodiment, the damage information providing system 200 directly communicates with each of the elevator installations to be remotely monitored, and automatically collects the operating conditions of these elevator installations. Hereinafter, the elevator equipment to be remotely monitored will be referred to as monitoring target equipment. The operating status of the monitoring target facility automatically collected by the damage information providing system 200 is provided to the operating status display system 100 .

Further, in this embodiment, the damage information providing system 200 may be provided with a callback center. The Callback Center accepts calls (callbacks) about the operating status of the elevator equipment via the reporting means of the elevator equipment that is not subject to remote monitoring, or the phone of the owner or user of the elevator equipment. . Below, elevator installations that are not subject to remote monitoring are referred to as non-monitoring installations.

A callback from an owner or a user is considered to be issued to request restoration work when an event requiring restoration work such as failure or stoppage of non-monitored equipment occurs. In the damage information providing system 200, the operator who has received the callback manually inputs the operating status of the non-monitored equipment received from the reporting party such as the owner or user into the damage information providing system 200, register. The operating conditions of the non-monitoring facilities manually input to the damage information providing system 200 in this manner are provided to the operating condition display system 100 .

The map information providing system 300 provides the driving situation display 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 information such as traffic jams 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 operating status display system 100, the front-end system 1, the office device 2, the terminal device 3, and the like.

The map information provided by the map information providing system 300 may be, for example, information indicating a map representing an area including the location of the elevator equipment to be restored. By acquiring such map information from the map information providing system 300, the operating status display system 100 generates a display screen in which the operating status of the elevator equipment is superimposed on a map representing the area including the location of the elevator equipment. can do.

<Configuration of Driving Situation Display System 100>
FIG. 22 also shows a block diagram showing the main configuration of the driving situation display system 100. As shown in FIG. The operating condition display system 100 includes at least a target equipment condition acquisition unit 10 , an out-of-target equipment condition acquisition unit 11 , an operating condition estimation device 5 , and a display control unit 12 . FIG. 22 representatively shows only the estimating unit 52 (non-target facility condition estimating unit) of the operating condition estimating device 5, but the operating condition estimating device 5 includes each unit of the operating condition estimating device 5 shown in FIG. may be provided.

The target facility status acquisition unit 10 acquires the operating status of a monitoring target facility, which is an elevator facility whose operating status can be remotely monitored among a plurality of elevator facilities located at different locations. In this embodiment, as an example, the target facility status acquisition unit 10 acquires the operating status of the monitoring target facility from the damage information providing system 200 . In another example, the target facility status acquisition unit 10 may communicate with each of the monitored target facilities and directly acquire the operating status of each monitored target facility.

The non-target facility status acquisition unit 11 acquires the operating status of the non-monitoring facility, which is an elevator facility whose operating status cannot be remotely monitored among the elevator facilities. In this embodiment, as an example, the non-target facility status acquisition unit 11 acquires the operating status of the non-monitoring facility from the damage information providing system 200 . In another example, the operator of the callback center may register the operating status of the non-monitoring facility for which the callback has been received in the storage device built into the operating status display system 100 . In this case, the non-target facility status acquisition unit 11 may read the operating status of the non-monitoring facility from the storage device.

The estimating unit 52 (non-target equipment condition estimating unit) of the operating condition estimating device 5 estimates the operating condition of non-monitored equipment. As the driving situation estimation device 5 of this embodiment, for example, the driving situation estimation device 5 described in the third embodiment and shown in FIG. 14 may be adopted. The estimating unit 52 may estimate the operational status of the non-monitored facility based on the operational status of the monitored facility. Specifically, the input data generation unit 51 generates input data to be input to the learning model 451a using the operating status of the monitored equipment. The estimation unit 52 inputs the generated input data to the learning model 451a and obtains the output data, thereby estimating the operational status of the non-monitoring equipment. The output data may be the estimation result described in the first to third embodiments, and the estimation result may be information indicating the operating status estimated for each non-monitoring facility. As shown in FIG. 21, the estimation result may be information indicating the outage probability estimated for each non-monitored facility. The output control unit 53 outputs the estimated operational status of the non-monitoring equipment to the display control unit 12 . Hereinafter, the estimated operating status of the non-monitored facility is referred to as an estimated operating status to distinguish it from the actually grasped operating status obtained from the damage information providing system 200 .

The display control unit 12 causes the display unit to display a display screen in which the operational status of the elevator equipment is superimposed on a map representing the area including the location of the elevator equipment. The operating status includes at least normal operation and stop. Therefore, specifically, the display control unit 12
(1) When the operating status automatically collected and the operating status acquired by the target facility status acquiring unit 10 is normal operation;
(2) when the automatically collected operating status is the operating status acquired by the target facility status acquisition unit 10 and is stopped;
(3) When the operating status is manually input and the operating status acquired by the non-target facility status acquisition unit 11 is stopped;
(4) The estimated driving situation estimated by the driving situation estimation device 5 is displayed in a distinguishable display mode from the case where the estimated driving situation is stopped.

According to the above-described configuration, a display screen is presented that reflects not only the operation status of the monitoring target equipment whose operation status is grasped from the beginning of the disaster, but also the operation status of the non-monitoring equipment. This enables the operator to grasp the overall picture of the recovery target from the beginning of the disaster. More specifically, an operator who visually recognizes the display screen determines whether recovery work is required for the monitoring target equipment, confirms the existence of non-monitored equipment that requires recovery work, and determines whether recovery work is required. It is possible to confirm the existence of non-monitored equipment that is likely to exist.

In this way, grasping the overall picture of the restoration target from the beginning of the disaster will help to formulate a dispatch plan that can efficiently patrol the restoration target equipment from an early stage immediately after the disaster. As a result, it leads to shortening the time to complete recovery.

<Equipment DB 31>
In this embodiment, the operating status display system 100 may include a storage device, and the storage device may store an equipment database 31 (hereinafter referred to as an equipment DB 31).

The equipment DB 31 is a database for managing the operational status of the elevator equipment for which the maintenance company undertakes maintenance. For example, the facility DB 31 stores the operating status of the monitoring target facility acquired by the target facility status acquiring unit 10, the operating status of the non-monitoring facility acquired by the non-target facility status acquiring unit 11, and the operating status estimation device 5 Estimated estimated driving conditions are stored.

FIG. 23 is a diagram showing an example of the data structure of the equipment DB 31. As shown in FIG. The equipment DB 31 may include, for example, equipment ID, location, restoration priority, equipment type, operating status, outage probability, restoration necessity rank, and restoration completion flag.

The equipment ID is identification information for uniquely identifying the elevator equipment. Unique identification information is given to one elevator installation. In this embodiment, one elevator facility is treated as one facility regardless of how many elevators (the number of cages) the one elevator facility is composed of. As the facility ID, the elevator facility ID employed in the first to third embodiments may be employed as it is.

The location is information indicating the location of the elevator equipment, and includes place names, street addresses, building names, and the like. The location may be represented by the latitude and longitude information of the building where the elevator equipment is installed.

The restoration priority is information indicating the restoration priority set for the elevator equipment. In the present embodiment, as an example, the restoration priority of the elevator equipment in which the user is confined is set to the highest (for example, priority S). Then, for elevator equipment in 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 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 the maintenance contract concluded between the manager of the building in which the elevator equipment is installed and the maintenance company.

The restoration priority set in advance for the elevator equipment may be stored in advance in the storage device of the operating status display system 100 separately from the equipment DB 31. In this case, the equipment DB 31 stores "recovery priority" column may be omitted.

The equipment type is information indicating the type of elevator equipment. In this embodiment, three types are defined as the types of elevator equipment, and the elevator equipment is classified into one of the three types according to how the operating status of the elevator equipment is grasped. .

The first type is "monitoring target", and monitoring target facilities are classified into this type. The equipment to be monitored is communicably connected to the damage information providing system 200 via a communication network, and the operating conditions of the equipment to be monitored are automatically collected by the damage information providing system 200 via the communication network. .

The second type is "not monitored_CB". Equipment not subject to monitoring whose operating conditions are not automatically collected and whose stopped operating condition is known by receiving a callback in the damage information providing system 200 is classified into this type.

The third type is “not monitored_estimated”. Equipment whose operating status is unknown because it is an unmonitored facility whose operating status is not automatically collected and no callback has occurred is classified into this type. A non-monitoring facility whose operating status is unknown is subject to the operating status estimation processing in the operating status estimation device 5, and the estimated operating status estimated by the operating status estimation device 5 is provisionally used as the operating status of the facility. Adopted.

The operating status is information indicating the operating status of the elevator equipment. In this embodiment, as an example, the operating status includes at least "normal operation", which means that the elevator equipment is operating normally, and "normal operation", which means that the elevator equipment is not operating due to a failure or the like. includes "stop" which means Furthermore, the driving situation may include information on the presence or absence of confinement. In this embodiment, as an example, the operating status may include "confined", which means that the user of the elevator facility is trapped in the car and cannot get out. In the example shown in FIG. 23, the operating status "stopped" means that the elevator equipment has simply stopped operating, and the operating status "stopped + with confinement" means that the elevator equipment has stopped operating. In addition, it means that the user is confined within one of the cages of the elevator installation.

Note that the operating status of non-monitored equipment whose type is "non-monitored_estimated" is unknown. Therefore, a value corresponding to "unknown" may be stored in the item of the operating status of the non-monitoring facility corresponding to this type, or the item may be null.

The estimating unit 52 of the operating condition estimation device 5 outputs the probability of the operating condition of the non-monitored equipment. indicates the probability that The target of the estimation by the operating condition estimation device 5 is the non-monitoring facility whose type is "non-monitoring_estimation". Therefore, the item of the outage probability may be null for the elevator equipment whose operating conditions are known.

The recovery necessity rank represents the degree of necessity of recovery work for the non-monitoring facility whose operating status is estimated. The restoration necessity rank is determined in association with the probability value of the driving situation estimated by the driving situation estimation device 5 . In the present embodiment, equipment with a higher outage probability is associated with a higher restoration necessity rank, and is treated as equipment with a higher need for restoration work. In this embodiment, as an example, the level of rank is represented by the number of stars, and the higher the number of stars, the higher the restoration necessity rank. For example, if the outage probability is 90% or higher, the restoration necessity rank is “3 stars”; if the outage probability is 80% or higher, the restoration necessity rank is “2 stars”; A gender rank of “1 star” may be associated. In the present embodiment, as an example, a low outage probability of less than 70% may be uniformly set as "out of rank" without being associated with a restoration necessity rank.

The outage probability associated with the restoration necessity rank is calculated for the non-monitoring equipment whose type is “non-monitoring_estimated”. Therefore, for elevator equipment whose operating conditions are known by automatic collection or callback, the item of the restoration necessity rank may be null.

The restoration completion flag is information indicating whether the restoration work for the elevator equipment has been completed. Elevator equipment for which restoration work has not been completed is associated with a value indicating that restoration work has not been completed (denoted as "incomplete" in the figure). A value indicating that the restoration work has been completed is associated with the elevator equipment for which the restoration work has been completed.

The restoration completion flag is provided for elevator equipment that has been found to be stopped or that may not be completely stopped. Therefore, for elevator equipment that has been confirmed to be operating normally based on the automatically collected operating conditions, that is, for elevator equipment that does not require restoration work, even if the item of the restoration completion flag is null, good.

By referring to the facility DB 31, the display control unit 12 can generate a display screen in which the operational status of the elevator facility is superimposed on the map. Specifically, the display control unit 12 displays the icon of each elevator equipment (1) when the operating status is normal operation, (2) when the automatically collected operating status is stopped, and (3) It is possible to superimpose and display the case where the manually input driving situation is "stopped" and the case where (4) the estimated driving situation is "stopped" in a distinguishable display mode.

<Display screen>
24 to 26 are diagrams showing an example of the display screen 700 generated by the display control section 12. FIG. When a disaster such as an earthquake occurs, the display control unit 12 starts generating the display screen 700 . Immediately after the disaster, the operating status of the elevator equipment was not grasped. Therefore, first, the display control unit 12 may superimpose the icon of the elevator equipment on the map of the disaster-affected area based on each location, regardless of the type of equipment and the operating status. For example, as shown in FIG. 24, the display control unit 12 may display the icons of the elevator installations located in the disaster area uniformly in white on the map of the disaster area.

In the display screen 700 shown in FIGS. 24 to 26, numbers are shown inside the icons for the purpose of facilitating the explanation of the present invention. This three-digit number indicates the numerical portion of the equipment ID of the elevator equipment registered in the equipment DB 31 shown in FIG. In the following description, when an icon of "(three-digit number)" is used, it means an icon of elevator equipment associated with the equipment ID including the number. In this way, the three-digit numbers of the icons in FIGS. 24 to 26 are added for explanation of the present invention, and FIGS. It does not necessarily mean superimposing an icon in which the facility ID is visualized.

After the display screen 700 of FIG. 24 is displayed, for example, within about 10 minutes after the occurrence of the disaster, the target facility status acquisition unit 10 may acquire the operating status of the monitoring target facility from the damage information providing system 200. The target facility status acquisition unit 10 registers the operating status acquired for the monitoring target facility in the facility DB 31 . As the facility DB 31 is updated, the display control unit 12 changes the display mode of the icon corresponding to the monitoring target facility whose operating status is registered.

For example, the display control unit 12 displays, in the first color, the icon of the monitoring target equipment whose operation status is found to be "stopped" from the equipment DB 31 . The first color may be red, for example. For example, the display control unit 12 displays the icon of the monitoring target equipment whose operating status is found to be "normal operation" from the equipment DB 31 in a second color different from the first color. The second color may be blue, for example.

The display control unit 12 may display the icon of the monitoring target equipment that has been found to be confined in addition to being stopped in a different display mode so as to be distinguishable from the "stop" icon. For example, the display control unit 12 may blink the icon of the monitoring target equipment whose operating status is "stopped + confined".

For example, as shown in FIG. 25, the display control unit 12 changes the icon "002" and the icon "124" of the monitoring target equipment whose operating status is "stopped + confined" to the first color ( red) may be displayed. The display control unit 12 may display the icon "125" of the monitoring target equipment whose operating status is "stopped" in the first color (red). The display control unit 12 may display the icon "005" and the icon "123" of the monitoring target equipment whose operating status is "normal operation" in the second color (blue).

According to the display screen 700 shown in FIG. 25, the operator who visually recognizes the display screen 700 can see, at a glance, the abnormal monitoring target equipment that requires restoration work and the monitoring target equipment that is operating normally and does not require restoration work, together with their positions. You can check with Furthermore, it is possible to distinguish and recognize a monitoring target facility in which a user is confined and which requires urgent restoration work from other monitoring target facilities.

After the display screen 700 of FIG. 25 is displayed, as more time elapses, callbacks from non-monitored equipment are received, and the operating status of the non-monitored equipment gradually becomes clear. Conceivable. The non-target facility status acquisition unit 11 may acquire the operating status of the non-monitoring facility from the damage information providing system 200 . The operating status of equipment not to be monitored may be provided from the damage information providing system 200 to the equipment status acquisition unit 11 not to be monitored each time a callback is received. Alternatively, the operating status of the non-monitoring equipment is obtained from the damage information providing system 200 spontaneously by the damage information providing system 200 or in response to a request from the non-monitoring equipment status obtaining unit 11. may be provided periodically to The non-target facility status acquisition unit 11 registers the operating status acquired for the non-monitoring facility in the facility DB 31 . Along with the update of the facility DB 31, the display control unit 12 changes the display mode of the icon corresponding to the non-monitoring facility whose operating status is registered.

For example, the display control unit 12 displays the icon of the non-monitoring facility whose operating status is found to be "stopped" from the facility DB 31 in a third color different from the first color and the second color. The third color may be yellow, for example. Furthermore, the display control unit 12 may display the icon of the non-monitored facility notified that it has been shut down and confined in a different display mode so as to be distinguishable from the "stopped" icon. good. For example, the display control unit 12 may blink the icon of the non-monitoring facility whose operating status is "stopped + confined".

For example, as shown in FIG. 26, the display control unit 12 blinks the icon "004" in the third color (yellow) for the non-monitored equipment whose operating status is "stopped + confined". good too. The display control unit 12 may display the icon "003" of the non-monitoring facility whose operating status is "stopped" in the third color (yellow).

When the operating status of monitored equipment and non-monitored equipment gradually becomes clear in a disaster area, the operating status of non-monitored equipment whose operational status is unknown because no callback has been received is estimated. becomes possible. The operating condition estimating device 5 may estimate the operating condition of non-monitored equipment whose operating condition is unknown based on the known operating condition of the elevator equipment located in the same area. Specifically, the input data generation unit 51 generates input data to be input to the learning model 451a using the operating status of the monitored equipment or the non-monitored equipment for which the callback has been accepted. The estimation unit 52 inputs the generated input data to the learning model 451a and obtains the output data, thereby estimating the operational status of the non-monitoring equipment. The estimating unit 52 may estimate the outage probability of non-monitored equipment. The output control unit 53 registers the estimated operating status estimated by the estimating unit 52, specifically, the stoppage probability, in the facility DB 31 for the non-monitoring equipment whose operating status is unknown. The output control unit 53 may also register the restoration necessity rank associated with the value of the outage probability in the facility DB 31 as necessary. Along with the update of the facility DB 31, the display control unit 12 changes the display mode of the icon corresponding to the non-monitoring facility for which the estimated operating condition is registered.

For example, the display control unit 12 displays the icon of the non-monitored equipment for which the estimated operating status is obtained from the equipment DB 31 in a fourth color different from the first color, the second color, and the third color. display. The fourth color may be magenta, for example. As an example, the display control unit 12 displays the icon of non-monitored equipment whose outage probability is equal to or greater than a predetermined threshold in a fourth color, and the icon of non-monitored equipment whose outage probability is less than the predetermined threshold remains the initial white color. may be maintained. The predetermined threshold may be, for example, "70%".

As shown in FIG. 26 , the display control unit 12 displays the “001” icon, the “126” icon, and the “127” icon of the non-monitored equipment whose outage probability is estimated to be 70% or higher. 4 colors (magenta). In addition, the display control unit 12 may display the icons "121" and "122" of the non-monitored equipment whose outage probability is estimated to be less than 70% in white.

According to the display screen 700 shown in FIG. 26, the operator who visually recognizes the display screen 700 can confirm, at a glance, the abnormal equipment that requires restoration work and the normal equipment that does not require restoration work along with their positions. . Further, according to the display screen 700, icons are displayed in different display modes for each equipment type. Therefore, the operator can further identify the abnormal equipment that requires restoration work, the monitored equipment, the non-monitored equipment that has received a callback, and the non-monitored equipment that is estimated to be stopped with a certain degree of accuracy or higher. equipment can be distinguished.

In this way, a display screen is displayed that reflects not only the operating status of monitored equipment whose operating status is grasped from the time a disaster occurs, but also the operating status of non-monitored equipment. becomes possible. Grasping the overall picture of the restoration target from the beginning of the disaster makes it possible to formulate an accurate dispatch plan that can efficiently patrol the restoration target equipment from an early stage immediately after the disaster. , leading to a shorter time to complete recovery.

More specifically, for example, as shown in FIGS. 25 and 26, the display control unit 12 may change the above-described display mode into a mode in which colors are distinguishable. As a result, the operator can easily determine the necessity of restoration work, the operating status, the type of equipment, etc. of each elevator equipment only by the difference in color.

<Modified example of display mode>
(Visualization of restoration work completion)
The operating status display system 100 may receive a recovery completion notification indicating that the recovery work for elevator equipment that requires recovery work has been completed via the damage information providing system 200 or directly from the terminal device 3 . Upon receiving the recovery completion notification, the operating status display system 100 may update the recovery completion flag of the elevator equipment for which the recovery work has been completed from "not completed" to "completed" in the equipment DB 31.

In the equipment DB 31, the display control unit 12 changes the icon of the elevator equipment to the second color ( blue). Thereby, the operator can visually recognize the display screen 700 and distinguish between the elevator equipment for which the restoration work has been completed and the elevator equipment for which the restoration work has not been completed. In addition, it is possible to grasp in real time the elevator equipment for which restoration work has not been completed and its position, which can be used to reconsider the dispatch plan.

Note that the display control unit 12 may display the icon of the elevator equipment that has returned to normal operation by the restoration work in a different color from any of the first to fourth colors. This makes it possible to distinguish elevator equipment that has returned to normal operation through restoration work from elevator equipment that has continued normal operation without failure since the disaster occurred.

(Visualization of assumed normal operation)
The non-monitored facility status acquisition unit 11 monitors non-monitored facilities whose facility type is "non-monitored_estimated" and whose outage probability is less than a predetermined threshold for the presence or absence of callbacks. good too. Then, if a predetermined period of time (for example, 12 hours) has passed since the time when the disaster occurred without receiving a callback for the non-monitoring facility, the non-monitoring facility status acquisition unit 11 determines whether the non-monitoring facility The operating status may be changed from "unknown" to "normal operation". In addition, the non-monitoring facility status acquisition unit 11 may set the recovery completion flag of the non-monitoring facility to a null value, or may update it from "not completed" to "completed".

In the equipment DB 31, the display control unit 12 changes the icon of the elevator equipment from white to the second icon, which means normal operation, as the operation status of the non-monitored equipment is changed from “unknown” to “normal operation”. color (blue). The fact that a callback has not occurred even after 12 hours have passed since the disaster occurred can be considered that the elevator equipment is operating without any problems. In this way, in the equipment DB 31, the path to the completion of restoration is made clear by eliminating elevator equipment that has been left unattended for a long period of time with its operating status unknown, and by displaying the icon of the elevator equipment in the display mode of "normal operation". It becomes possible to clearly indicate to the operator.

In addition, the display control unit 12 may display the icon of the elevator equipment that is considered to be operating normally based on the passage of time in a color different from any of the first to fourth colors. . As a result, the elevator equipment that was deemed to be in normal operation based on the passage of time, that is, was in "deemed normal operation", was actually confirmed to be in "normal operation" through remote monitoring or reports from workers. It is possible to express it separately from the elevator equipment that is installed.

(Visualization of outage probability)
The estimating unit 52 of the operating condition estimating device 5 outputs the probability of the operating condition of the non-monitoring equipment. The estimating unit 52 may output the outage probability when the operating status of the non-monitored facility is "stopped". The display control unit 12 may change the display mode according to the value of the stop probability when the estimated driving condition is stop. As a result, by simply looking at the icon, the operator can not only identify non-monitored equipment that has been presumed to be restored, but also grasp the outage probability of the non-monitored equipment. .

FIG. 27 is a diagram illustrating an example of an icon that visualizes the probability of the operating status of non-monitored equipment. For example, as shown in the drawing, the display control unit 12 may display the display mode when the estimated driving condition is stop with saturation associated with the value of the stop probability.

In the above-described embodiment, the icon of the non-monitored facility for which the estimated operating status has been obtained is displayed in the fourth color (eg, magenta). Therefore, as an example, a range with the highest stop probability (for example, 99% or more) is associated with high saturation (the most vivid fourth color), and a range with the lowest stop probability (for example, less than 1%) is associated with a low Associate saturation (achromatic color). The display control unit 12 selects the fourth color of the saturation corresponding to the value of the outage probability estimated for the non-monitored equipment, among the fourth colors represented by the saturation between the high saturation and the low saturation. 4, the icon of the non-monitoring facility is displayed.

As a result, the operator can grasp the outage probability of the non-monitored equipment at a glance from the color saturation of the icon. For example, in a case where differences in color (hue) are used to express differences in operating conditions and equipment types, it is difficult to further express outage probabilities with differences in color. The present invention, while adopting the same color (hue) for the same operating condition and type of equipment, can further express the difference in the outage probability by the difference in saturation, especially in the above case. It works great. In addition, since the stop probability can be expressed without using characters or symbols, the characters and symbols added to the icons can be used to express other information. This makes it possible to present an icon capable of representing more information with good visibility.

It is assumed that some icons of non-monitoring facilities whose operating conditions are estimated are not colored in the fourth color. Specifically, as described above, the icon of non-monitored equipment whose outage probability is equal to or greater than a predetermined threshold value (for example, 70%) is colored in the fourth color, and the icon of non-monitored equipment whose outage probability is less than the predetermined threshold value is colored. is not colored with the fourth color (that is, remains white). In this case, the range of less than 71% to 70% or more may be set as the range with the lowest probability of stopping, and low saturation (achromatic color) may be associated with this range. Then, the saturation of the fourth color of the icon may be adjusted for non-monitoring equipment whose outage probability is in the range of 100% to 70%.

In another example, the display control unit 12 may display the display mode when the estimated driving condition is stop with the brightness associated with the value of the stop probability. For example, the display control unit 12 may display the icon in a fourth color that is brighter as the outage probability of the non-monitored equipment is higher and is darker as the outage probability is lower. As a result, the operator can grasp the outage probability of non-monitored equipment at a glance from the brightness of the color of the icon. For example, in a case where differences in color (hue) are used to express differences in operating conditions and equipment types, it is difficult to further express outage probabilities with differences in color. The present invention is particularly excellent in the above-mentioned case in that it is possible to further express differences in outage probabilities by means of differences in lightness while adopting the same color tone (hue) for the same operating conditions and equipment types. effect.

In another example, the display control unit 12 may display the density or transmittance associated with the value of the stop probability as the display mode when the estimated driving condition is stop. For example, the display control unit 12 may display an icon with a higher fourth color or a lower transmittance of the fourth color as the non-monitoring facility has a higher outage probability. As a result, the operator can grasp the outage probability of the non-monitored equipment at a glance from the shade of the icon color. For example, in a case where differences in color (hue) are used to express differences in operating conditions and equipment types, it is difficult to further express outage probabilities with differences in color. The present invention is particularly excellent in the above-mentioned case in that it is possible to further express differences in outage probabilities by shades of colors while adopting the same color (hue) for the same operating conditions and equipment types. effect.

Further, according to the above configurations, the stop probability can be expressed without using characters or symbols, so characters and symbols added to icons can be used to express other information. This makes it possible to present an icon capable of representing more information with good visibility.

FIG. 28 is a diagram showing an example of an icon that visualizes the probability of the operating status of non-monitored equipment. For example, as illustrated, the display control unit 12 may display the value of the stop probability as the display mode when the estimated driving condition is stop. The figure shows some examples in which the estimated outage probability (for example, 93%) of the non-monitoring facility is displayed on the icon of the non-monitoring facility colored in the fourth color.

As a result, the operator can grasp the outage probability of the non-monitoring equipment at a glance by displaying the value of the outage probability attached to the icon colored in the fourth color.

29 and 30 are diagrams showing examples of icons for visualizing the probability of operating conditions of non-monitored equipment. For example, as shown in the figure, the display control unit 12 may display the restoration necessity rank (rank) associated with the value of the stop probability as the display mode when the estimated driving condition is stop. . In FIG. 29, a star representing the recovery necessity rank associated with the estimated outage probability of the non-monitoring facility is superimposed on the icon of the non-monitoring facility colored in the fourth color. Examples are given. In FIG. 30, the main icon of the non-monitored equipment colored in the fourth color, and the star sub-icon ( badge) is shown. As shown in FIGS. 29 and 30, the higher the restoration necessity rank of the non-monitored facility, the more stars are added to the icon of the non-monitored facility colored in the fourth color. be.

As a result, the operator can determine the recovery necessity rank of the non-monitored equipment at a glance from the number of stars attached to the icons colored in the fourth color, and grasp the stoppage probability of the non-monitored equipment. It becomes possible to

In another example, the display control unit 12 may display a shape associated with the restoration necessity rank as a display mode when the estimated driving condition is stop. For example, the display control unit 12 may display an icon of non-monitored equipment with a probability of being stopped of 90% or more and a restoration necessity rank of 3 stars in a pentagon. The display control unit 12 may display an icon of a non-monitored facility with a probability of stoppage of 80% or more and a restoration necessity rank of 2 stars in a square. The display control unit 12 may display an icon of non-monitored equipment with a probability of stoppage of 70% or more and a restoration necessity rank of 1 star as a triangle. As a result, the operator can determine the recovery necessity rank of the non-monitored equipment at a glance from the difference in the shape of the icon colored in the fourth color, and can grasp the outage probability of the non-monitored equipment. becomes.

FIG. 31 is a diagram showing a display example of an icon of non-monitoring equipment whose operating status is estimated. In an example in which the display mode when the estimated driving condition is stop is set to a mode according to the value of the stop probability, the display control unit 12 changes the ratio of the colored region in the icon to the ratio according to the value of the stop probability. may be For example, as illustrated, the display control unit 12 may employ a pie chart indicating the value of the stop probability as an icon. For example, the icon on the left end of the figure indicates the icon of non-monitored equipment whose outage probability is estimated to be 93%, and approximately 93% of the icons are colored in the fourth color. As a result, the operator can grasp the outage probability of the non-monitored equipment at a glance from the ratio of the area colored in the fourth color to the icon.

<Processing flow>
FIG. 32 is a flow chart showing an example of the flow of the driving condition display process executed by the driving condition display system 100. As shown in FIG. The driving situation display process is generally realized by one or a plurality of information processing devices configuring the driving situation display system 100 executing a control method for the driving situation display system 100 including the following steps.

The control method is a control method executed by one or a plurality of information processing devices, and the operating conditions automatically collected from monitoring target equipment, which is an elevator equipment capable of remotely monitoring the operating conditions among a plurality of elevator equipment located at different locations. is the target facility status acquisition step (step S104) acquired by the target facility status acquisition unit 10, and the operating status of the non-monitoring facility, which is the elevator facility whose operating status cannot be remotely monitored among the elevator facilities, and is manually input. A non-target facility status acquisition step (step S111) in which the non-target facility status acquisition unit 11 acquires the operating status, and a non-target facility in which the estimation unit 52 of the operating status estimation device 5 estimates the operating status of the non-monitored facility. A situation estimation step (step S107), and a display control step (step S105, step S112, and step S108). The operating status includes at least normal operation and stop. In the display control process, the display control unit 12 determines whether the operating condition is normal operation, the automatically collected operating condition is stopped, the manually input operating condition is stopped, and the estimated operating condition. The state of stop is displayed in a distinguishable display mode.

Further, the display control unit 12 acquires the non-target equipment status each time the target equipment status acquisition unit 10 acquires the operating status (step S104) in the above-described display control process (steps S105, S112, and S108). The display screen 700 may be updated each time it is acquired by the unit 11 (step S111) and each time it is estimated by the estimation unit 52 of the driving situation estimation device 5 (step S107).

A more specific description of an example of the flow of the driving status display process is as follows.

In step S101, the operating status display system 100 detects that a disaster has occurred in an area where a maintenance company manages maintenance of elevator equipment. The driving situation display system 100 may detect the occurrence of a disaster by receiving information notifying that a disaster has occurred, for example, from the disaster occurrence information distribution device 6d (FIG. 14) or the damage information providing system 200. . When the driving situation display system 100 detects the occurrence of a disaster, the process advances from YES in step S101 to step S102.

In step S102, the display control unit 12 generates a display screen 700 superimposed on the map of the disaster area with the icons of the elevator equipment for which maintenance is contracted by the maintenance company. The location of the elevator equipment for which maintenance is contracted by the maintenance company is grasped in advance in the operation status display system 100, and the display control unit 12 superimposes the icon of the elevator equipment on the position on the map corresponding to the location of the elevator equipment. can be made Immediately after the occurrence of a disaster, it is considered that the operation status of each elevator equipment is not grasped in the equipment DB 31 . Therefore, the display control unit 12 may generate a display screen 700 on which white icons that do not reflect the driving situation are superimposed, as shown in FIG. 24 . The map information of the disaster area may be provided from the map information providing system 300, for example. Here, the display control unit 12 provides the display screen 700 shown in FIG. 24 in which the driving situation is not reflected to the front-end system 1, the office device 2, or the terminal device 3, and displays it on each display unit. or just keep it inside.

In step S103, the target facility status acquisition unit 10 determines whether or not the operating status display system 100 is in a state capable of acquiring the operating status of the monitored facility. The target facility status acquisition unit 10 may determine that the operating status can be acquired based on the fact that the operating status of the monitored facility transmitted from the damage information providing system 200 is received by the operating status display system 100 . Alternatively, the target facility status acquisition unit 10 determines whether the target facility status acquisition unit 10 is operating based on the fact that a predetermined time (for example, 5 minutes) has passed since the disaster occurred and the timing for requesting the operating status to the damage information providing system 200 has arrived. It may be determined that the status can be acquired. When the target facility status acquiring unit 10 determines that the operating status can be acquired, the process proceeds from YES in step S103 to step S104. If the target equipment status acquisition unit 10 is not in a state where it is possible to acquire the operating status, the process proceeds from NO in step S103 to step S110.

In step S<b>104 , the target facility status acquisition unit 10 acquires the operating status of the monitoring target facility provided by the damage information providing system 200 . The acquired operating status of each monitored equipment may be registered in the equipment DB 31 .

In step S105, the display control unit 12 reflects the acquired operating status of the monitored equipment in the display mode of the icon of the monitored equipment. For example, when the operating status of the monitored facility indicates "stopped", the display control unit 12 may change the color of the icon of the monitored facility to a first color meaning "stopped" (for example, "002", "124" and "125" icons in FIG. 25). Further, when the operating status of the monitoring target equipment includes being confined, the display control unit 12 may add a blinking animation to the icon of the monitoring target equipment to blink the icon ( "002" and "124" icons). Further, for example, when the operating status of the monitoring target facility indicates "normal operation", the display control unit 12 changes the color of the icon of the monitoring target facility to a second color that means "normal operation". Good ("005" and "123" icons).

It is conceivable that the operating status of the monitoring target equipment will be collected automatically and immediately before the callback center can grasp the operating status of the non-monitoring equipment. Therefore, at this point, it is highly likely that the facility DB 31 has not grasped the operational status of the non-monitored facility. Therefore, here, as shown in FIG. 25, the display control unit 12 reflects only the operating status of the monitoring target equipment in the icon of the monitoring target equipment, and regarding the icon of the non-monitoring equipment, it is assumed that the operating status is unknown. May remain white.

In step S106, the driving condition estimation device 5 determines whether or not the number of recovery targets grasped by the driving condition display system 100 has increased. For example, in step S104, it is assumed that the target facility status acquiring unit 10 newly acquires the operating status indicating "stopped" for one monitoring target facility. In this case, the operating condition estimating device 5 determines that the monitoring target equipment requiring restoration work, that is, the number of restoration targets has increased by one. If the number of restoration targets increases, the driving situation estimation device 5 advances the process from YES in step S106 to step S107.

On the other hand, the fact that the number of recovery targets has not increased means that new recovery targets have not been added to the facility DB 31, and that there is no new information to be considered for estimating non-monitored facilities. . Therefore, if the number of recovery targets has not increased, the operating condition estimation device 5 may omit the process of estimating the operating condition of the non-monitored equipment. That is, the process proceeds from NO in step S106 to step S109.

In step S107, the operating condition estimation device 5 estimates the operating condition of the non-monitoring equipment whose operating condition is unknown. The estimating unit 52 uses the operating status of the elevator equipment in the disaster-affected area, which is grasped by remote monitoring or callbacks, to identify non-monitored facilities around the elevator equipment whose operating status is unknown. A driving situation may be estimated. The output control unit 53 may register the estimated operating conditions obtained by estimation, specifically, the outage probability in the equipment DB 31 .

In step S108, the display control unit 12 reflects the estimated operating status of the non-monitoring facility in the display mode of the icon of the non-monitoring facility. In the present embodiment, the display control unit 12 may reflect the estimated outage probability of the non-monitoring facility in the display mode of the icon of the non-monitoring facility. For example, the color of the icon of non-monitored facilities with a probability of being stopped of 70% or more may be changed to a fourth color that means "presumed to be stopped". For example, as shown in FIG. 26, the display control unit 12 displays the icons of non-monitored equipment (icons “001”, “126”, and “127”) whose outage probability is estimated to be 70% or more in the fourth color. change to The display control unit 12 maintains the white color of the icons of non-monitored equipment (icons “121” and “122”) whose outage probability is estimated to be less than 70% because the need for restoration work is low. good.

In step S109, the operating status display system 100 communicates with the damage information providing system 200, and monitors whether or not all the elevator equipment contracted by the maintenance company has returned to normal operation via the damage information providing system 200. good too. Upon receiving the notification from the damage information providing system 200, the operating status display system 100 confirms that the recovery work for all the elevator equipment has been completed, that is, when it has confirmed the complete recovery, the process proceeds to YES in step S109, and a series of operating status display processing is performed. may be terminated. Until complete restoration is confirmed, the driving condition display system 100 returns to step S103 from NO in step S109 and waits for the latest driving conditions provided by the damage information providing system 200 .

In step S<b>110 , the non-monitored facility status acquisition unit 11 determines whether or not the operating status display system 100 is in a state of being able to acquire the operating status of the non-monitored facility. The non-target facility status acquisition unit 11 determines that the operating status can be acquired based on the fact that the operating status of the non-monitored facility transmitted from the damage information providing system 200 is received by the operating status display system 100. good. Alternatively, the out-of-target facility status acquisition unit 11 determines that the operating status is determined based on the fact that a predetermined time (for example, 15 minutes) has passed since the time when the disaster occurred and the timing for requesting the operating status to the damage information providing system 200 has arrived. It may be determined that the status can be acquired.

Callbacks from users or owners of non-monitored equipment are assumed to be received at random times, unlike situations in which the operating conditions of monitored equipment are automatically and immediately collected. Therefore, the damage information providing system 200 may transmit the operating status of the non-monitored equipment identified by the callback to the operating status display system 100 each time a callback is received. Then, the non-target facility status acquisition unit 11 may determine that the operating status can be acquired each time the above-described operating status is received.

When the non-target facility status acquisition unit 11 determines that the operating status can be acquired, the process advances from YES in step S110 to step S111. If the non-target facility status acquisition unit 11 is not in a state where it can acquire the operating status, the process proceeds from NO in step S110 to step S113.

In step S<b>111 , the non-target facility status acquisition unit 11 acquires the operating status of the non-monitored facility provided by the damage information providing system 200 . The acquired operating status of the non-monitoring equipment may be registered in the equipment DB 31 .

In step S112, the display control unit 12 reflects the acquired operating status of the non-monitoring facility in the display mode of the icon of the non-monitoring facility. For example, when the operating status of equipment not subject to monitoring indicates "stop", the display control unit 12 may change the color of the icon of the equipment not subject to monitoring to a third color that means "stop". Here, in the present embodiment, the display control unit 12 adopts a third color different from the first color adopted corresponding to "stop" of the monitoring target equipment (for example, "003" and "004" icon). As a result, by looking at the color of the icon, it is possible to identify whether the "stop" is for the facility to be monitored or the "stop" is for the non-monitored facility for which the callback has been accepted. Further, when the operating status of equipment not subject to monitoring includes being confined, the display control unit 12 may add a blinking animation to the icon of the equipment not subject to monitoring to cause the icon to blink. Good ("004" icon).

In step S113, the non-target equipment status acquisition unit 11 determines whether or not a predetermined time (for example, 12 hours) has passed since the disaster occurred. Even if the driving situation is not provided from the damage information providing system 200 (NO in step S103 and NO in step S110), if 12 hours or more have not passed since the disaster occurred, there is a possibility that a callback will occur in the future. Therefore, the driving condition display system 100 returns from NO in step S113 to step S103 and waits for the latest driving condition provided by the damage information providing system 200 until 12 hours have passed since the disaster occurred.

On the other hand, if 12 hours or more have passed since the disaster occurrence time without receiving a callback for the non-monitoring facility (NO in step S110 and YES in step S113), the non-monitoring facility continues normal operation. can be assumed to be Therefore, if 12 hours have passed since the disaster occurred, the non-target facility status acquisition unit 11 advances the process from YES in step S113 to step S114. Here, the non-target facility status acquisition unit 11 may update the facility DB 31 by changing the operating status of the non-monitoring facility for which there was no callback from "unknown" to "normal operation".

In step S114, the display control unit 12 changes the display mode of the icon of the non-monitoring equipment deemed to be operating normally. For example, the display control unit 12 may change the color of the icon of the non-monitored equipment to a second color that means "normal operation". Alternatively, the display control unit 12 may change the color to a color other than the second color, which means "deemed normal operation".

According to the above-described method, a display screen is presented that reflects not only the operating status of monitored equipment whose operating status is grasped from the time the disaster occurs, but also the operating status of non-monitored equipment. It is possible to grasp the whole picture.

Further, according to the above-described method, each part of the driving situation display system 100 (1) acquires the driving situation, (2) displays reflecting the acquired driving situation, and (3) , estimation of the operating status of the non-monitored equipment, and (4) display reflecting the estimated operating status can be repeated until complete recovery. Specifically, in the above-described display control process (steps S105, S112, and S108), the display control unit 12 performs the non-target The display screen 700 can be updated each time it is acquired by the equipment status acquisition unit 11 (step S111) and each time it is estimated by the estimation unit 52 of the driving condition estimation device 5 (step S107). The display screen 700 obtained in this way makes it possible to always and accurately grasp in real time the overall picture of the recovery target that changes moment by moment from the beginning of the disaster until the current time.

<effect>
According to the operating status display system 100 of the present invention, it is possible to obtain an estimated operating status by estimating the operating status of facilities that are not subject to remote monitoring and cannot be grasped until they are contacted by telephone or the like. . In addition, display screens that show the status of equipment that can be monitored in real time by remote monitoring and equipment that cannot be monitored immediately because they are not subject to remote monitoring will be displayed from the initial stage of a disaster. It can be presented to the operator.

Grasping the overall picture of the restoration target from the beginning of the disaster makes it possible to formulate an accurate dispatch plan that can efficiently patrol the restoration target equipment from an early stage immediately after the disaster. , leading to a shorter time to complete recovery.

As described above, the operating status display system 100 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 form the basis of life. Therefore, the driving status display system 100 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 (building a city where people can continue to live).

[Example of realization by software]
FIG. 33 is a block diagram showing an example of the hardware configuration of the learning model generation device 4, the learning model generation device 4a, the driving situation estimation device 5, and each device or system included in the maintenance system 1000. As shown in FIG.

The functions of one or more information processing devices that realize the learning model generation device 4, the learning model generation device 4a, the driving situation estimation device 5, and the driving situation display system 100 are performed by a program for causing a computer to function as the information processing device. can be realized. 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, each unit of the control unit 40, each unit of the control unit 40a, each unit of the control unit 50, the target equipment status acquisition unit 10, the non-target equipment status acquisition unit 11, and the display control unit 12. be.

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 media 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 equipment 3 terminal equipment (information terminal)
4, 4a Learning model generation device 5 Operational situation estimation device 6a Disaster record database 6b Elevator equipment installation information database 6c Operational condition information database 6d Disaster occurrence information distribution device 6e Elevator equipment remote monitoring device 9 Display device 10 Target equipment status acquisition unit 11 Target External equipment status acquisition unit 12 Display control unit 31 Equipment databases 40, 40a, 50 Control units 41, 41a Teacher data generation units 42, 42a Learning units 45, 54 Storage unit 51 Input data generation unit 52 Estimation unit (outside equipment status estimation part)
53 Output control unit 100 Driving situation display system 200 Damage information providing system 300 Map information providing system 451, 451a Learning model 700 Display screen 910 Computer (information processing device)
911 processor (control device)
912 memory (storage device)
921 program 931 recording medium

Claims (15)

A target facility status acquisition unit that acquires the operating status automatically collected from the 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 out-of-target facility status acquisition unit for acquiring a manually input operating status of the out-of-monitoring facility that is the elevator facility and whose operating status cannot be remotely monitored among the elevator facilities;
a non-monitoring facility status estimation unit that estimates the operating status of the non-monitoring facility;
a display control unit that causes a display unit to display a display screen in which the operating status of the elevator equipment is superimposed on a map representing an area that includes the location of the elevator equipment;
The operating conditions include at least normal operation and stop,
The display control unit controls when the driving condition is normal driving, when the automatically collected driving condition is stopped, when the manually input driving condition is stopped, and when the estimated driving condition A driving status display system that displays in a display mode distinguishable from when is stopped. 2. The driving situation display system according to claim 1, wherein said display control unit sets a display form in a color-distinguishable form. The non-target equipment status estimation unit outputs the probability of the operating status of the non-monitored equipment,
3. The driving situation display system according to claim 1, wherein said display control unit sets a display mode according to said probability value when said estimated driving situation is stop. 4. The driving situation display system according to claim 3, wherein the display control unit displays a display mode in the case where the estimated driving situation is stop, with saturation associated with the value of the probability. . 5. The driving situation display system according to claim 3, wherein the display control unit displays the value of the probability as a display mode when the estimated driving situation is stop. 6. The display control unit according to any one of claims 3 to 5, wherein the display mode when the estimated driving situation is stop is a mode in which the rank associated with the probability value is displayed. A driving status display system as described. The display control unit controls the operation status each time it is acquired by the target equipment status acquisition unit, each time it is acquired by the non-target equipment status acquisition unit, and each time it is estimated by the non-target equipment status estimation unit. 7. The driving situation display system according to any one of claims 1 to 6, further updating said display screen. The out-of-target equipment status estimating unit includes 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. Using a learning model generated by performing machine learning using teacher data including The driving situation display system according to any one of claims 1 to 7, which estimates the situation. The training data further includes peripheral operating status information indicating the operating status of peripheral equipment, which is the monitoring target equipment located within a predetermined range from the elevator equipment, when the disaster occurs,
9. The operating condition display system according to claim 8, wherein said input data further includes operating conditions obtained by remotely monitoring said peripheral equipment located within said predetermined range from said non-monitored equipment. The training data further includes equipment information indicating at least one of the model and specifications of the elevator equipment,
10. The operating status display system according to claim 8, wherein said input data further includes said facility information of said non-monitored facility. The training data further includes building information indicating at least one of the completion date and earthquake resistance specifications of the building in which the elevator equipment is installed,
11. The operating situation display system according to any one of claims 8 to 10, wherein said input data further includes said building information of said non-monitoring equipment. The operating status display system according to any one of claims 8 to 11, wherein said learning model outputs a probability of operating status of said non-monitoring equipment. 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 driving situation display system according to any one of claims 8 to 12. A control method executed by one or more information processing devices,
A target facility status acquisition step of acquiring an operating status automatically collected from 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 out-of-target facility status acquiring step of acquiring a manually input operating status of the out-of-monitoring facility, which is the elevator facility and whose operating status cannot be remotely monitored, among the elevator facilities;
a non-monitored facility status estimation step of estimating the operating status of the non-monitored facility;
a display control step of causing a display unit to display a display screen in which the operating status of the elevator equipment is superimposed on a map representing an area including the location of the elevator equipment;
The operating conditions include at least normal operation and stop,
The display control step is performed when the operating condition is normal operation, when the automatically collected operating condition is stopped, when the manually input operating condition is stopped, and when the estimated operating condition is stopped in a distinguishable display mode. 2. A program for causing a computer to function as the operating status display system according to claim 1, comprising the target equipment status acquisition unit, the non-target equipment status acquisition unit, the non-target equipment status estimation unit, and the display control unit. A program that allows a computer to function as a

Images