Management system, management device, management method, and management program

Abstract

Provided are a management system, a management device, a management method, and a management program with which it is possible to further improve the convenience of people in a facility. This management system (1) is provided with a person detection unit (8), an analysis unit (9), a determination unit (12), and a control unit (11). The person detection unit (8) detects (a) person(s) so as to be able to acquire information on the distribution of the person(s) for each time in the facility (2). The analysis unit (9) performs analysis including prediction and acquisition of human flow data on the basis of facility data and the information detected by the person detection unit (8). The facility data includes information representing an area where people can pass in the facility (2). The human flow data represents a distribution of (a) person(s) in the facility (2) and a change in the distribution over time. The determination unit (12) determines the setting of the operation state of equipment (3) provided in the facility (2) on the basis of the human flow data analyzed by the analysis unit (9). The control unit (11) causes the equipment (3) to operate on the basis of the determination by the determination unit (12).

Description

[Technical Field]

[0001] The present disclosure relates to a management system, a management device, a management method, and a management program. [Background technology]

[0002] Patent Document 1 discloses an example of a management system. In the management system, equipment installed in a building is controlled by a control device. The control device calculates the operation time of the equipment in intermittent operation based on the ratio of the actual number of people occupying the area where the equipment is installed to the maximum number of people occupying the area. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2014-235461 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the management system of Patent Document 1, the facility equipment is controlled based on the ratio of the number of people present in the room, which is the current distribution of people. Therefore, for example, if changes in the operation status of the facility equipment cannot keep up with changes in the distribution of people due to people moving around, the convenience of people in the building or other facility may be reduced.

[0005] The present disclosure relates to solving such problems, and provides a management system, a management device, a management method, and a management program that can further improve convenience for people in a facility. [Means for solving the problem]

[0006] The management system according to the present disclosure includes a human detection unit that detects people so as to acquire information on the distribution of people at a facility by time, an analysis unit that performs analysis including acquisition and prediction of people flow data that represents the distribution of people at the facility and changes in that distribution over time, based on facility data including information representing areas in the facility where people can pass and the information detected by the human detection unit, a determination unit that determines the setting of the operating status of equipment installed at the facility based on the people flow data analyzed by the analysis unit, and a control unit that operates the equipment based on the determination of the determination unit. a disaster detection unit that detects the occurrence of a disaster so as to acquire information on the state of the disaster in the facility; and an adjustment unit that adjusts the analysis conditions by the analysis unit. Equipped with The facility data includes design parameters of the facility, the analysis unit uses the facility data to evaluate the impact of a disaster detected by the disaster detection unit on the strength of the facility, and the adjustment unit provides feedback to the design parameters so as to reduce a difference between the result of the evaluation by the analysis unit and information on the state of the disaster based on information detected by the disaster detection unit. .

[0007] The management device according to the present disclosure includes an analysis unit that performs analysis, including acquisition and prediction, of people flow data that represents the distribution of people in the facility and changes in that distribution over time, based on facility data including information representing areas in the facility where people can pass through and information detected by a people detection unit that detects people so as to obtain information on the distribution of people by time in the facility; and a determination unit that determines settings for the operating status of equipment installed in the facility, based on the people flow data analyzed by the analysis unit, so that the settings can be reflected in the operating status of the equipment. a disaster detection unit that detects the occurrence of a disaster so as to acquire information on the state of the disaster in the facility; and an adjustment unit that adjusts the analysis conditions by the analysis unit. Equipped with The facility data includes design parameters of the facility, the analysis unit uses the facility data to evaluate the impact of a disaster detected by the disaster detection unit on the strength of the facility, and the adjustment unit provides feedback to the design parameters so as to reduce a difference between the result of the evaluation by the analysis unit and information on the state of the disaster based on information detected by the disaster detection unit. .

[0008] The management method according to the present disclosure includes detecting people so as to obtain information on the distribution of people in a facility by time, and obtaining information representing an area in the facility where people can pass through. and the design parameters of said facility. and performing analysis including prediction of people flow data representing the distribution of people in the facility and changes in the distribution over time based on facility data including the above and information on person detection; determining operating state settings of equipment installed in the facility based on the analysis results of the people flow data; and operating the equipment using the settings determined based on the analysis results of the people flow data. Detecting the occurrence of a disaster so as to obtain information on the state of the disaster at the facility, evaluating the impact of the detected disaster on the strength of the facility using the facility data, and providing feedback to the design parameters so as to reduce the difference between the results of the evaluation and the information on the state of the detected disaster. This is a method for a computer system to execute the above.

[0009] The management program according to the present disclosure includes a computer system that detects people so as to acquire information on the distribution of people at a facility by time, and a management program ... and the design parameters of said facility. and performing analysis including prediction of people flow data representing the distribution of people in the facility and changes in the distribution over time based on facility data including the above and information on person detection; determining operating state settings of equipment installed in the facility based on the analysis results of the people flow data; and operating the equipment using the settings determined based on the analysis results of the people flow data. Detecting the occurrence of a disaster so as to obtain information on the state of the disaster at the facility, evaluating the impact of the detected disaster on the strength of the facility using the facility data, and providing feedback to the design parameters so as to reduce the difference between the results of the evaluation and the information on the state of the detected disaster. Execute the following. [Effects of the Invention]

[0010] The management system, management device, management method, or management program according to the present disclosure can further improve convenience for people in the facility. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a diagram showing an example of the interior of a facility to which a management system according to a first embodiment is applied; [Figure 2] 1 is a configuration diagram of a management system according to a first embodiment. [Figure 3] 4 is a flowchart illustrating an example of an operation of the management system according to the first embodiment. [Figure 4] 1 is a hardware configuration diagram of a main part of a management system according to a first embodiment. [Figure 5] FIG. 10 is a configuration diagram of a management system according to a second embodiment. [Figure 6A] 10 is a flowchart illustrating an example of the operation of the management system according to the second embodiment. [Figure 6B] 10 is a flowchart illustrating an example of the operation of the management system according to the second embodiment. [Figure 6C] 10 is a flowchart illustrating an example of the operation of the management system according to the second embodiment. [Figure 7]FIG. 11 is a configuration diagram of a management system according to a third embodiment. [Figure 8] 11 is a flowchart illustrating an example of the operation of the management system according to the third embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] The following describes embodiments of the subject matter of the present disclosure with reference to the accompanying drawings. In each drawing, identical or corresponding parts are designated by the same reference numerals, and redundant explanations are appropriately simplified or omitted. Note that the subject matter of the present disclosure is not limited to the following embodiments, and any component of the embodiments may be modified or omitted within the scope of the gist of the present disclosure.

[0013] Embodiment 1 FIG. 1 is a diagram showing an example of the interior of a facility 2 to which a management system 1 according to the first embodiment is applied.

[0014] The management system 1 is applied to a facility 2. The facility 2 includes, for example, one or more buildings. The facility 2 may be part of a building. The facility 2 may be either an indoor facility or an outdoor facility. The facility 2 may be, for example, a commercial facility, a tourist facility, an accommodation facility, a public facility, a residential facility, a factory, an office building, or the like, or may be a complex of these.

[0015] Facility 2 is provided with equipment 3. The equipment 3 is a type of equipment operating in the facility 2. The equipment 3 includes, for example, elevators, escalators, access control systems, air conditioning equipment, lighting equipment, and other equipment. The equipment 3 may include a camera installed in the facility 2 that captures the interior or exterior of the facility 2. The equipment 3 may also include an autonomously traveling robot or an autonomously flying drone operating in the facility 2. The management system 1 is a system that manages the equipment 3. The management system 1 may include the equipment 3 to be managed as equipment within the system, or may manage equipment 3 outside the system. The management system 1 may manage a single equipment 3 or multiple equipment 3. The management system 1 includes a human detection device 4, a management device 5, and a presentation device 6.

[0016] The human detection device 4 is a device that detects people in the facility 2 or collects information necessary for detecting the people. The human detection device 4 is installed in the facility 2. The human detection device 4 may be, for example, a camera that is a facility device 3. The human detection device 4 may be, for example, a sensor mounted on the facility device 3. The human detection device 4 may be, for example, a human presence sensor mounted on equipment in air conditioning equipment or lighting equipment. The human detection device 4 may be, for example, an authentication device mounted on equipment in an access control system. Note that the management system 1 may use equipment such as a camera or sensor outside the system as the human detection device 4.

[0017] The management device 5 is a device that performs information processing, such as data analysis and data storage, for the management of the managed facility devices 3. The management device 5 is, for example, a computer system consisting of one or more computers. The computer that constitutes the management device 5 is, for example, a server computer. The management device 5 is owned, for example, by a service provider that provides management services for the facility devices 3. Part or all of the management device 5 may be located within the facility 2 or in a remote location from the facility 2. Part or all of the management device 5 may be a virtual server configured by a cloud service. Part or all of the functions of the management device 5 may be implemented by processing or storage resources on the cloud service. The management device 5 is configured to communicate with the managed facility devices 3, the human detection device 4, and the presentation device 6, for example, via a communication network such as the Internet or a telephone network. The functions of the management device 5 are executed based on a management program installed on the management device 5. The management program may be a single program or a software package including multiple programs. The management program may add functions to existing software.

[0018] The presentation device 6 is a device that presents input information. The presentation device 6 presents the results of information processing performed by the management device 5. The presentation device 6 is, for example, a signage device provided in the facility 2 that presents information to people in the facility 2 by display. The presentation device 6 may also be, for example, a speaker provided in the facility 2 that presents information to people in the facility 2 by voice. The presentation device 6 may also be, for example, an electronic device such as a smartphone carried by a person in the facility 2. Note that the management system 1 may use a device outside the system, such as a signage device, a speaker, or a smartphone, as the presentation device 6. The presentation device 6 may also be, for example, an indicator or display provided at an elevator hall or car.

[0019] In this example, a disaster detection device 7 for detecting a disaster occurring in the facility 2 is provided in the facility 2 or in the equipment 3 of the facility 2. The disaster detection device 7 may be, for example, a sensor mounted on the equipment 3. The disaster detection device 7 may be, for example, a seismometer or acceleration sensor mounted on an elevator device.

[0020] FIG. 2 is a configuration diagram of the management system 1 according to the first embodiment.

[0021] The management device 5 includes a human detection unit 8, an analysis unit 9, an output unit 10, a control unit 11, and a determination unit 12.

[0022] The human detection unit 8 is a part equipped with a function for detecting people in the facility 2. The human detection unit 8 detects people in the facility 2 based on information acquired through the human detection device 4 installed in the facility 2. For example, when acquiring a photographed image of the facility 2 from a camera, which is the human detection device 4, the human detection unit 8 detects people in the photographed image using technology such as image recognition of the photographed image. The human detection unit 8 acquires information on the location of the detected person. The human detection unit 8 acquires information on the movement of the person based on information such as the person's location and the detection time. The human detection unit 8 detects people, for example, at predetermined time intervals. The human detection unit 8 may detect people at regular intervals, for example, or at irregular intervals triggered by an event occurring in the facility 2, for example.

[0023] The human detection unit 8 may determine the attributes of the detected person. For example, when acquiring a photographed image of the facility 2 from a camera serving as the human detection device 4, the human detection unit 8 determines the attributes of the person in the photographed image using a technology such as image recognition for the photographed image. The attributes of a person may be, for example, information that may be related to the person's hobbies and preferences, such as the person's age. The attributes of a person may be, for example, information related to the person's mobility characteristics, such as whether or not the person uses a mobility aid. Examples of mobility aids include a cane, wheelchair, stroller, etc. The attributes of a person may be, for example, information on whether or not the person has a visual impairment. Here, whether or not a person has a visual impairment may be determined based on appearance information, such as whether the person is carrying a white cane.

[0024] The analysis unit 9 is a component equipped with a function for analyzing people flow data in the facility 2. The people flow data represents the distribution of people in the facility 2 and changes in that distribution over time. The people flow data may include, for example, the number of people in each area in the facility 2 where people can pass through, and information on the inflow and outflow of people between each area. The analysis of people flow data by the analysis unit 9 includes acquiring and predicting people flow data. The analysis unit 9 analyzes the people flow data based on the information detected by the people detection unit 8 and facility data of the facility 2. The analysis unit 9 may, for example, accumulate the acquired people flow data. The analysis unit 9 may predict future people flow data based on the accumulated past people flow data and current people flow data. The analysis unit 9 may also acquire and predict people flow data for each user attribute determined by the people detection unit 8.

[0025] Here, the facility data includes information representing areas in the facility 2 through which people can pass. Areas through which people can pass include, for example, corridors or rooms in the facility 2. The facility data may be, for example, BIM (Building Information Modeling) data. The information about the facility 2 included in the BIM data includes, for example, data on the three-dimensional shape of the facility 2 and the equipment 3, data on manufacturing specifications such as the parts and materials of each part, and performance data such as the weight, strength, and function of each part. The BIM data may include, for example, information about the structure of the facility 2, such as the location of stairs or elevators, the width of corridors, or the size of rooms, and information such as the location of human detection devices 4 or equipment 3. The facility data may include some or all of the BIM data as design parameters for the facility 2.

[0026] The output unit 10 is a part that has a function of outputting information to the presentation device 6. For example, the output unit 10 outputs people flow data analyzed by the analysis unit 9 to the presentation device 6. At this time, the presentation device 6 Output section 10 The information such as people flow data input from the terminal is presented, for example, by display.

[0027] The control unit 11 is a part that has a function of controlling the equipment 3 installed in the facility 2. The control unit 11 acquires information on the operating status of the equipment 3, for example, from the equipment 3 itself or from a detection device such as a camera or a sensor installed in the facility 2. The operating status of the equipment 3 includes, for example, whether the equipment 3 is operating or not. If the equipment 3 is an elevator, the operating status includes, for example, the position of the elevator car. If the equipment 3 is an air conditioning equipment, the operating status includes, for example, the set temperature and set air volume. If the equipment 3 is a lighting equipment, the operating status includes, for example, the set illuminance. If the equipment 3 is an access control system, the operating status includes, for example, whether the entrances and exits of each room are locked. The control unit 11 controls the operating status of the equipment 3 by outputting a control signal to the equipment 3.

[0028] The determination unit 12 is a part that has a function of determining the setting of the operating state of the equipment 3 in accordance with the people flow data analyzed by the analysis unit 9. The determination by the determination unit 12 is made so as to be reflected in the operating state of the equipment 3 installed in the facility 2. In other words, the control unit 11 controls the equipment 3 based on the setting of the operating state determined by the determination unit 12.

[0029] Next, an example of the operation of the management system 1 will be described with reference to FIG. FIG. 3 is a flowchart illustrating an example of the operation of the management system 1 according to the first embodiment.

[0030] In step S01, the human detection device 4 collects information regarding the detection of a human being in the facility 2. For example, if the human detection device 4 is a camera, the human detection device 4 captures an image of the facility 2. In addition, the equipment 3 operating in the facility 2 outputs its operating status to the control unit 11 of the management device 5. Thereafter, the processing of the management system 1 proceeds to step S02.

[0031] In step S02, the human detection unit 8 of the management device 5 detects a human in the facility 2 based on information acquired through the human detection device 4. The control unit 11 of the management device 5 acquires information on the operating status of the facility equipment 3 based on information acquired through the facility equipment 3 to be managed, etc. Thereafter, the processing of the management system 1 proceeds to step S03.

[0032] In step S03, the analysis unit 9 of the management device 5 analyzes people flow data based on the information detected by the person detection unit 8 and facility data for the facility 2. The analysis unit 9 acquires current people flow data based on the information detected by the person detection unit 8 and facility data for the facility 2. The management device 5 accumulates the acquired people flow data as a history of people flow data. The analysis unit 9 also performs predictive analysis of future people flow data based on, for example, the facility data for the facility 2 and the history of accumulated past people flow data. The analysis unit 9 may also perform predictive analysis of future people flow data based on, for example, people flow data from the history of accumulated past people flow data whose conditions, such as season, day of the week, or time of day, correspond to current conditions. The processing of the management system 1 then proceeds to step S04.

[0033] In step S04, the judgment unit 12 of the management device 5 judges the setting of the operating status of the equipment 3 based on the people flow data analyzed by the analysis unit 9 so that the operating status of the equipment 3 is more suitable and adapted to the people flow status in the facility 2.

[0034] For example, if the facility equipment 3 is an elevator, the determination unit 12 determines the number of people heading to the elevator landing based on the people flow data. The determination unit 12 determines how to dispatch elevator cars based on the number of people heading to the elevator landing, the number of people riding in the elevator car, or the car's capacity. The determination unit 12, for example, determines the floor at which the car should wait. For example, the determination unit 12 determines to run the car to a floor where there are people heading to the landing and have the car wait there. Furthermore, if the elevator has multiple cars, the determination unit 12 may also determine the number of cars to run and wait at the floor. The determination unit 12 may determine to stop the operation of the elevator based on the people flow data when there are no people near the elevator landing or when it determines that there are no people heading to the elevator landing. The vicinity of the elevator landing is, for example, an area within a predetermined distance from the elevator landing.

[0035] For example, the determination unit 12 determines the number of people heading toward a certain area of the facility 2 based on the people flow data. The area may be, for example, an elevator landing in the facility 2, a room in the facility 2, or an entrance to the facility 2. If the facility equipment 3 is a lighting equipment, the determination unit 12 determines to turn on the lights in the area based on, for example, the number of people heading toward the area. If the facility equipment 3 is an air conditioning equipment, the determination unit 12 determines to activate the air conditioning in the area based on, for example, the number of people heading toward the area. If the facility equipment 3 is an access control system, the determination unit 12 determines to unlock a door through which people will pass when heading toward the area or to open the door in advance based on, for example, the number of people heading toward the area. If the determination unit 12 determines, based on the people flow data, that there are no people near the area or that there are no people heading toward the area, the determination unit 12 may determine to stop operation of the facility equipment 3 corresponding to the area. The vicinity of the area may be, for example, a range within a predetermined distance from the area.

[0036] After step S04, the processing of the management system 1 proceeds to step S05. In step S05, the control unit 11 of the management device 5 outputs a control signal to the corresponding facility device 3 in accordance with the setting of the operating state of the facility device 3 determined by the determination unit 12. As a result, the facility device 3 operates based on the determination by the determination unit 12. Thereafter, the processing of the management system 1 ends.

[0037] In this example, the management system 1 starts the process of step S06 after step S03, in parallel with the start of the process of step S04. Note that the management system 1 may start the process of step S06 before or after the process of step S04.

[0038] In step S06, the analysis unit 9 of the management device 5 performs a visualization process on the analyzed people flow data. The visualization process on the people flow data includes, for example, displaying a map of congestion levels and displaying routes to destinations. Then, in step S07, the output unit 10 outputs the information visualized by the analysis unit 9 to the presentation device 6. Then, in step S08, the presentation device 6 presents the information received from the output unit 10. Then, the processing of the management system 1 ends.

[0039] In displaying the congestion level map, the analysis unit 9 calculates the population density of each area in the facility 2, for example, based on the distribution of people within the facility 2 based on people flow data and the area of passable areas within the facility 2 included in the facility data. The analysis unit 9 calculates the congestion level based on the calculated population density, for example, by multiplying the calculated congestion level by a weighting factor corresponding to the area. The calculated congestion level is displayed on a map of the facility 2 using visual information, for example, a color heat map, on a display device 6, such as signage, installed in the facility 2. The congestion level map display can be used in, for example, commercial facilities and tourist facilities, but may also be used in other facilities 2. The analysis unit 9 may calculate a prediction of future congestion level. At this time, the prediction of congestion level is displayed on a display device 6, such as signage, installed in the facility 2. The congestion level map display may also include information indicating uncrowded areas or directions to those areas to encourage people to avoid congestion.

[0040] To display a route to a destination, the analysis unit 9 acquires information about the user's current location and destination from an electronic device, such as a smartphone, carried by the user who is in the facility 2. The analysis unit 9 searches for one or more routes from the current location to the destination, for example, based on facility data for the facility 2. The analysis unit 9 calculates the required time to reach the destination for each of the searched routes. The analysis unit 9 calculates the required time for each route using information such as the travel distance along the route, the population density or congestion level in the area along the route, and the structure of the facility 2 in the area along the route. In this case, the analysis unit 9 may use the current congestion level, a prediction of the future congestion level, or a congestion level based on historical accumulated pedestrian flow data that corresponds to the current conditions, such as the season, day of the week, or time of day. Furthermore, the analysis unit 9 may use information about the shape of the pedestrian space, such as the presence or absence of corners, as information about the structure of the facility 2. The analysis unit 9 may use information about the presence or absence of doors and stairs as information about the structure of the facility 2. The analysis unit 9 may, for example, calculate in advance the correspondence between information about the structure of an area in the facility 2 and the average movement speed in that area based on the history of accumulated people flow data. At this time, the analysis unit 9 calculates the required time for each route using the previously calculated correspondence. From among the routes for which the required time has been calculated, the analysis unit 9 selects, for example, the route with the shortest required time. The selected route is displayed on a map of the facility 2 on a presentation device 6, such as a smartphone carried by the user.

[0041] Here, for example, when all users pass through a common route at a location where many users have a destination, such as a station ticket gate, it may cause significant congestion within the premises of facility 2. For this reason, when the number of users traveling to a common destination in the same time period exceeds a preset number, for example, the analysis unit 9 may disperse the congestion by having the electronic devices carried by each user present different routes allocated for each certain number of users.

[0042] Furthermore, in a location where many users have the same destination, such as an event venue, the analysis unit 9 may perform visualization processing to display a route to the destination without acquiring destination information from the electronic devices carried by the users. In this case, the route is displayed, for example, on signage installed in the facility 2. The analysis unit 9, for example, causes the signage to display the route from the signage to the destination. Note that the presentation device 6 that presents the route is not limited to signage and may be, for example, a projector that projects an image such as an arrow onto a wall, ceiling, or floor.

[0043] The analysis unit 9 may also search for a route to be presented to a user based on the attributes of the user determined by the person detection unit 8. For example, for a user who travels in a wheelchair or a user who travels pushing a stroller, the analysis unit 9 searches for a route without stairs or steps, a route that uses a wheelchair elevator, etc., based on facility data. For example, for a visually impaired user, the analysis unit 9 searches for a route with tactile blocks, a route without parked bicycles, etc., based on facility data and images captured by a camera. At this time, the output unit 10 may output the route as audio data so that the route can be presented by audio from a presentation device 6 such as a smartphone carried by the user.

[0044] The analysis unit 9 may also output the route to the destination output by the output unit 10 to the determination unit 12. At this time, the determination unit 12 may determine the setting of the operation state of the facility equipment 3 on the route, assuming that the user will travel along the route. For example, the determination unit 12 may make a determination such as arranging for pre-registering a call for an elevator on the route so that the user can board the elevator. The determination unit 12 may also make a determination such as unlocking a door or pre-opening a door on a device such as a door installed on the route. The determination unit 12 may also make a determination such as turning on a light on a lighting facility installed on the route. The determination unit 12 may also make a determination such as having an autonomous mobile robot or the like moving through the facility 2 guide the user along the route ahead of the user. The determination unit 12 may also determine whether or not guidance by the autonomous mobile robot is necessary depending on the attributes of the user, such as whether the user is visually impaired.

[0045] Furthermore, the analysis unit 9 may determine which information to present to users based on the attributes of the users, from information such as advertisements for stores in the facility 2 or advertisements for users passing through the facility 2, based on predictive analysis of people flow data. At this time, the output unit 10 outputs the information that the analysis unit 9 has determined to present to the users to a presentation device 6, such as a signage installed in the facility 2. The presentation device 6 presents the information input from the output unit 10 to the users. For example, the analysis unit 9 determines whether there is an area where many users with a certain attribute pass through, based on people flow data for each attribute. At this time, the analysis unit 9 determines that the presentation device 6 installed in that area should present information such as advertisements targeted at that attribute. For example, when the analysis unit 9 predicts that many users of the younger generation will pass through the area where the presentation device 6 of the facility 2 is installed between 3:00 PM and 5:00 PM, the analysis unit 9 determines that the presentation device 6 should present advertisements for idols or other advertisements aimed at the younger generation. For example, when the analysis unit 9 predicts that many business people will pass through the area where the presentation device 6 of the facility 2 is installed between 5:00 PM and 7:00 PM, it determines to have the presentation device 6 present advertisements for business books aimed at business people. In addition to advertisements aimed at specific attributes, the analysis unit 9 may also display routes to stores that may be of interest to users with those attributes.

[0046] In this example, after step S03, the management system 1 starts the process of step S09 in parallel with the start of the process of step S04 or step S06. Note that the management system 1 may start the process of step S09 before or after the process of step S04 or step S06.

[0047] In step S09, the analysis unit 9 of the management device 5 calculates the difference between the people flow data obtained by the predictive analysis and the people flow data subsequently acquired based on information detected by the person detection unit 8. The analysis unit 9 may calculate the difference in the people flow data using, for example, information calculated from the people flow data. For example, the analysis unit 9 may calculate the difference in the people flow data as the difference between the time required for a user to travel from their current location to their destination, calculated based on the people flow data, and the time it actually took for the user to travel from their current location to their destination. The analysis unit 9 determines whether the calculated difference exceeds a preset threshold. If the calculated difference does not exceed the threshold, the processing of the management system 1 ends. On the other hand, if the calculated difference exceeds the threshold, the processing of the management system 1 proceeds to step S10.

[0048] In step S10, the analysis unit 9 of the management device 5 updates the people flow data analysis method, for example, as follows. For example, if the estimated travel time for a route from the current location to the destination calculated by the analysis unit 9 is longer than the actual travel time, the analysis unit 9 compares the distribution of people in the area along the route used to calculate the travel time with the distribution actually acquired when users pass through the area. If the analysis unit 9 determines that the difference between the distributions is greater than a preset standard, it modifies parameters of the people flow data predictive analysis method. On the other hand, if the analysis unit 9 determines that the difference between the distributions is smaller than a preset standard, it modifies the average travel speed of users passing through the area, which is used to calculate the travel time. At this time, for example, if the target route involves using an elevator, the analysis unit 9 determines whether the elevator was arranged as scheduled. If the elevator was not arranged as scheduled due to use by another user, the analysis unit 9 modifies parameters such as the elevator ride time, which are used to calculate the travel time for the route. The management system 1 then terminates its processing.

[0049] As described above, the management system 1 according to the first embodiment includes a human detection unit 8, an analysis unit 9, a determination unit 12, and a control unit 11. The human detection unit 8 detects people so as to acquire information on the hourly distribution of people in the facility 2. The analysis unit 9 performs analysis, including acquisition and prediction of people flow data, based on the information detected by the human detection unit 8 and facility data. The facility data includes information indicating areas in the facility 2 where people can pass through. The people flow data indicates the distribution of people in the facility 2 and changes in that distribution over time. The determination unit 12 determines the setting of the operating state of the facility equipment 3 installed in the facility 2 based on the people flow data analyzed by the analysis unit 9. The control unit 11 operates the facility equipment 3 based on the determination of the determination unit 12.

[0050] With this configuration, the facility devices 3 can operate to accommodate future human distribution based on people flow data. This allows people in facility 2 to move smoothly within facility 2, reducing the time it takes to move around within facility 2. Furthermore, people in facility 2 can spend more comfortable time within facility 2, for example, by avoiding congestion. This further improves convenience for people in facility 2. Furthermore, because the management device 5 can use devices outside the system as the human detection device 4 and presentation device 6, the management system 1 can be configured using existing devices in facility 2 and a communication network connectable to the management device 5. This reduces the introduction cost of the management system 1.

[0051] The management system 1 also includes an output unit 10. The output unit 10 outputs the people flow data analyzed by the analysis unit 9 to the presentation device 6. The presentation device 6 presents the input information to people in the facility 2, etc. This presents information on the distribution of people in the facility 2, such as the people flow data and the degree of congestion predicted based on the data, so that people in the facility 2 can refer to the information and take measures such as avoiding congestion. This allows people in the facility 2 to spend their time in the facility 2 more comfortably.

[0052] Note that part or all of the management device 5 may be installed in other devices of the management system 1. For example, the human detection unit 8 may be installed in the human detection device 4. Furthermore, the control unit 11 may be installed in the facility equipment 3 to be controlled.

[0053] Next, an example of the hardware configuration of the management system 1 will be described with reference to FIG. FIG. 4 is a hardware configuration diagram of the main part of the management system 1 according to the first embodiment.

[0054] Each function of the management system 1 may be realized by a processing circuit. The processing circuit includes at least one processor 100 a and at least one memory 100 b. The processing circuit may include at least one dedicated hardware 200 in addition to or in place of the processor 100 a and the memory 100 b.

[0055] When the processing circuit includes a processor 100a and a memory 100b, each function of the management system 1 is realized by software, firmware, or a combination of software and firmware. At least one of the software and firmware is written as a program. The program is stored in the memory 100b. The processor 100a realizes each function of the management system 1 by reading and executing the program stored in the memory 100b.

[0056] The processor 100a is also called a CPU (Central Processing Unit), processing device, arithmetic unit, microprocessor, microcomputer, or DSP. The memory 100b is configured by, for example, a non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, or EEPROM.

[0057] Where the processing circuitry comprises dedicated hardware 200, the processing circuitry may be implemented, for example, as a single circuit, multiple circuits, a programmed processor, parallel programmed processors, an ASIC, an FPGA, or a combination thereof.

[0058] Each function of the management system 1 can be realized by a processing circuit. Alternatively, each function of the management system 1 can be realized collectively by a processing circuit. Some of the functions of the management system 1 may be realized by dedicated hardware 200, and other parts may be realized by software or firmware. In this way, the processing circuit realizes each function of the management system 1 by dedicated hardware 200, software, firmware, or a combination of these.

[0059] Embodiment 2 In the second embodiment, differences from the example disclosed in the first embodiment will be described in particular detail. For features not described in the second embodiment, any of the features of the example disclosed in the first embodiment may be adopted.

[0060] FIG. 5 is a configuration diagram of the management system 1 according to the second embodiment.

[0061] The management system 1 includes, as the disaster detection device 7, for example, a seismometer or an acceleration sensor mounted on an elevator, which is the facility equipment 3. The management system 1 may also use, as the disaster detection device 7, a fire detector or the like installed in a building.

[0062] The management device 5 includes a human detection unit 8, an analysis unit 9, an output unit 10, a control unit 11, a determination unit 12, a disaster detection unit 13, a route search unit 14, and an adjustment unit 15.

[0063] The disaster detection unit 13 is a part that has a function of detecting the occurrence of a disaster in the facility 2. The disaster detection unit 13 detects the occurrence of a disaster in the facility 2 based on information acquired through a disaster detection device 7 installed in the facility 2. Disasters include, for example, an earthquake that occurs in the area where the facility 2 is installed, and a fire that occurs in the facility 2. The disaster detection unit 13 detects the occurrence of an earthquake in the facility 2, for example, when it acquires information on earthquake acceleration that is greater than a preset threshold from an acceleration sensor that is the disaster detection device 7.

[0064] The route search unit 14 is a part that has a function of calculating an evacuation route for people in the facility 2 when a disaster occurs in the facility 2. The route search unit 14 calculates the evacuation route using, for example, the analysis results of the analysis unit 9, such as people flow data, and facility data.

[0065] The adjustment unit 15 is a part that has a function of adjusting the analysis conditions used by the analysis unit 9. The analysis conditions include, for example, design parameters used in the analysis method adopted by the analysis unit 9. The design parameters may include, for example, information on an analysis model such as a mesh of a finite element method (FEM) for the structure of the facility 2.

[0066] Next, an example of the operation of the management system 1 will be described with reference to FIGS. 6A to 6C. 6A to 6C are flowcharts illustrating an example of the operation of the management system 1 according to the second embodiment.

[0067] 6A, the management system 1 according to the second embodiment performs the same processes as the management system 1 according to the first embodiment for normal operation from step S01 to step S03 and from step S04 to step S08. After the analysis unit 9 of the management device 5 analyzes the people flow data in step S03, the management system 1 according to the second embodiment proceeds to the process of step S11. In this example, after step S03, the management system 1 starts the process of step S09 in parallel with the start of the process of step S11. Note that the management system 1 may start the process of step S09 before or after the process of step S11.

[0068] In step S11, the management device 5 determines whether the disaster detection unit 13 has detected the occurrence of a disaster at the facility 2. If a disaster has not occurred at the facility 2, the processing of the management system 1 proceeds to step S04 and step S06. In this example, the management system 1 starts the processing of step S06 in parallel with the start of the processing of step S04. Note that the management system 1 may start the processing of step S06 before or after the processing of step S04. On the other hand, if a disaster has occurred at the facility 2, the processing of the management system 1 proceeds to step S12 in FIG. 6B.

[0069] In step S12, the disaster detection unit 13 of the management device 5 acquires information about the disaster that has occurred from the disaster detection device 7. The information about the disaster that has occurred includes, for example, the acceleration waveform of seismic waves measured by an acceleration sensor. The information about the disaster that has occurred may also be, for example, information about P waves or S waves measured by a seismometer. Thereafter, the processing of the management system 1 proceeds to step S13.

[0070] In step S13, the analysis unit 9 of the management device 5 evaluates the impact of the disaster detected by the disaster detection unit 13 on the strength of the facility 2 using the facility data and the information acquired by the disaster detection unit 13. The analysis unit 9 acquires information about the building structure and constituent materials of the facility 2 from the facility data, which is, for example, BIM data including design parameters. The information about the constituent materials may include, for example, elastic coefficients or other coefficients used for strength evaluation. The building structure may also include information about an analytical model used in the design of the facility 2, such as an FEM mesh. The analysis unit 9 performs strength analysis, such as estimating building rigidity, to evaluate the impact on the strength of the facility 2. The strength analysis may involve, for example, calculating the stress distribution of the building due to an earthquake. The analysis unit 9 uses, for example, a portion of the acceleration waveform due to an earthquake acquired by the disaster detection device 7 as input information, and calculates the stress distribution using a simplified model or a detailed model such as FEM. The analysis unit 9 may also perform an analysis that takes into account, for example, the generation of thermal stress and strength reduction due to combustion or heating in the event of a fire. The management device 5 accumulates the strength analysis data, which is the analysis result of the calculated stress distribution, etc., as a history of the strength analysis data. After that, the processing of the management system 1 proceeds to step S14.

[0071] In step S14, the analysis unit 9 of the management device 5 performs a safety diagnosis of areas in the facility 2 where people can pass, based on the results of the impact assessment on the strength of the facility 2, such as strength analysis. As the safety diagnosis, the analysis unit 9 performs, for example, a comparison with the allowable stress in the stress distribution obtained as a result of the strength analysis. Thereafter, the processing of the management system 1 proceeds to step S15.

[0072] In step S15, the analysis unit 9 of the management device 5 determines whether there is a possibility of damage or collapse occurring in the facility 2 based on the safety diagnosis performed by the analysis unit 9. For example, if there is a portion in the stress distribution obtained as a result of the strength analysis where the allowable stress is exceeded, the analysis unit 9 determines that there is a possibility of damage or collapse occurring in the facility 2. If the analysis unit 9 determines that there is no possibility of damage or collapse occurring in the facility 2, the processing of the management system 1 ends. On the other hand, if the analysis unit 9 determines that there is a possibility of damage or collapse occurring in the facility 2, the processing of the management system 1 proceeds to step S16.

[0073] In step S16, the output unit 10 of the management device 5 outputs the results of the safety diagnosis by the analysis unit 9 to the presentation device 6, which presents information to the manager of the facility 2, a maintenance company, or the like. As a result, if there is a possibility of damage to the facility 2, the manager of the facility 2, or the like, is notified. Thereafter, the processing of the management system 1 ends.

[0074] In this example, the management system 1 starts the process of step S17 after step S13, in parallel with the start of the process of step S14. Note that the management system 1 may start the process of step S17 before or after the process of step S14.

[0075] In step S17, the adjustment unit 15 of the management device 5 calculates the difference between the results of the impact assessment on the strength of the facility 2, such as the strength analysis performed in step S13 using design parameters, and the information acquired by the disaster detection unit 13 from the disaster detection device 7. For example, the adjustment unit 15 may calculate the difference between the results of the strength analysis using part of the information acquired by the disaster detection device 7 as input information and the results of the strength assessment using the information acquired by the disaster detection device 7 that was not used as input information. Furthermore, if the disaster detection device 7 has acquired information comparable to the results of the strength analysis in step S13, the adjustment unit 15 may calculate the difference using that information. The adjustment unit 15 determines whether the calculated difference exceeds a preset threshold. If the calculated difference does not exceed the threshold, the processing of the management system 1 ends. On the other hand, if the calculated difference exceeds the threshold, the processing of the management system 1 proceeds to step S18.

[0076] In step S18, the adjustment unit 15 of the management device 5 identifies the cause of the difference exceeding the threshold so that the analysis method for assessing the impact on the strength of the facility 2, such as strength analysis using design parameters, can be changed. The adjustment unit 15 identifies which design parameter, such as the setting of the analysis method parameters, the shape of the model used in the analysis, or the material property values, caused the difference exceeding the threshold. The adjustment unit 15 repeats the strength analysis while changing each design parameter, for example, until the difference between the information acquired by the disaster detection unit 13 from the disaster detection device 7 becomes smaller than the threshold. The adjustment unit 15 changes the mechanical property values of the material, such as the elastic modulus, elongation, or yield strength, as design parameters. The adjustment unit 15 changes the shape, such as the dimensions, of the structure of the facility 2 as design parameters. The adjustment unit 15 changes the mesh of the FEM model as design parameters. After identifying the cause of the difference, the management system 1 proceeds to step S19.

[0077] In step S19, the adjustment unit 15 of the management device 5 performs feedback on the design parameters, for example, as follows, to reduce the difference calculated in step S13. For example, when the adjustment unit 15 identifies the mechanical property values of the material as the cause of the difference, it modifies the initial values of the mechanical property values of a portion using a similar material to reduce the difference. For example, when the adjustment unit 15 identifies the shape of a structure as the cause of the difference, it modifies the initial values of the shape of the structure to reduce the difference. For example, when the adjustment unit 15 identifies the mesh of an FEM model of a certain portion as the cause of the difference, it modifies the mesh of an FEM model of that portion and a portion of a similar structure in the facility 2 to reduce the difference. Thereafter, the processing of the management system 1 ends.

[0078] In this example, after detecting the occurrence of a disaster in step S11 of Fig. 6A, the management system 1 starts the process of step S20 of Fig. 6C in parallel with the start of the process of step S12 of Fig. 6B. Note that the management system 1 may start the process of step S20 before or after the process of step S12.

[0079] In step S20, the management device 5 determines whether the scale of the disaster detected by the disaster detection unit 13 exceeds a preset standard. The scale of the disaster may be, for example, the seismic intensity of an earthquake. If the scale of the disaster does not exceed the standard, the processing of the management system 1 ends. On the other hand, if the scale of the disaster exceeds the standard, the processing of the management system 1 proceeds to step S21.

[0080] In step S21, the route search unit 14 of the management device 5 calculates an evacuation route for an evacuee who is a person in the facility 2. The route search unit 14 may identify the current location of the evacuee based on people flow data, or may identify the current location based on information acquired from an electronic device such as a smartphone carried by the evacuee. The route search unit 14 calculates an evacuation route from the current location of the evacuee to an evacuation site. The evacuation site is, for example, a predetermined location such as outside a building in the facility 2. Then, in step S22, the output unit 10 outputs the evacuation route calculated by the route search unit 14 to the presentation device 6, which presents information to the evacuee. Then, in step S23, the presentation device 6 presents the evacuation route received from the route search unit 14 to the evacuee. Then, the processing of the management system 1 ends.

[0081] When an earthquake occurs as a disaster in the facility 2, the route search unit 14 calculates an evacuation route that requires the shortest time to reach an evacuation site from among routes that satisfy the following conditions, for example: The route search unit 14 imposes, as a condition for the evacuation route, for example, a requirement that the route not pass through any location that is determined to be likely to be damaged or collapsed in steps S14 and S15 of FIG. 6B. The route search unit 14 imposes, as a condition for the evacuation route, for example, a requirement that the route not pass through any location that is determined to be blocked by an obstacle based on images from a camera or the like installed in the facility 2. The determination of the presence or absence of an obstacle may be made by the route search unit 14 or by another part of the management device 5, such as the analysis unit 9. The route search unit 14 imposes, as a condition for the evacuation route, for example, a requirement that the route not pass through any location where there is any damaged or malfunctioning equipment 3. Presence or absence of damage or malfunction of equipment 3 Determination of This is performed by, for example, the control unit 11. The route search unit 14 imposes, as a condition for the evacuation route, for example, a requirement that the route not pass through areas where an excessive number of people may be concentrated beyond a preset standard. Areas where people may be concentrated are determined by, for example, the analysis unit 9 based on people flow data analyzed by the analysis unit 9.

[0082] In the event of a fire occurring as a disaster in the facility 2, the route search unit 14 calculates an evacuation route that takes the shortest time to reach an evacuation site from among routes that satisfy the following conditions, for example: The route search unit 14 imposes, as a condition for the evacuation route, for example, a requirement that the route pass through a location farther from the location of the fire and slower around the smoke, based on facility data including information on the structure of the facility 2. A slower location around the smoke is, for example, a location that is farther away from the location of the fire by tracing a passage or ventilation opening. The route search unit 14 imposes, as a condition for the evacuation route, for example, a requirement that the route not pass through locations that are determined to be impassable due to smoke or flames, based on images from a camera or the like installed in the facility 2. The determination of the presence or absence of smoke or flames may be made by the route search unit 14 or by another part of the management device 5, such as the analysis unit 9. The route search unit 14 imposes, as a condition for the evacuation route, for example, a requirement that the route not pass through locations where there is damaged or malfunctioning equipment 3. Presence or absence of damage or malfunction of equipment 3 Determination of is performed by, for example, the control unit 11. The route searching unit 14 imposes, as a condition for the evacuation route, for example, a requirement that the user not pass through areas where an excessive number of people may be concentrated beyond a preset standard. Areas where people are concentrated are determined, for example, by the analysis unit 9 based on people flow data analyzed by the analysis unit 9. The route searching unit 14 may also calculate an evacuation route that leads to an earlier descent to a lower floor of the facility 2. The route searching unit 14 may determine whether smoke is blocked by the open / closed state of a door, a fire door, or the like, and calculate an evacuation route based on the determination result.

[0083] The evacuation route calculated by the route search unit 14 is displayed on a map of the facility 2 on a presentation device 6 such as a smartphone carried by the user. The route search unit 14 may also prevent evacuees from congregating together by displaying different evacuation routes, assigned to a certain number of people, on electronic devices carried by each evacuee.

[0084] Furthermore, the evacuation route calculated by the route searching unit 14 may be presented to an evacuee passing in front of the presentation device 6 by, for example, a signage or a projector provided in the facility 2. At this time, the presentation device 6 presents the evacuation route calculated by the route searching unit 14 with the presentation device 6 as the current location.

[0085] In this example, the management system 1 starts the process of step S24 after step S21 in parallel with the start of the process of step S22. Note that the management system 1 may start the process of step S24 before or after the process of step S22.

[0086] In step S24, the judgment unit 12 of the management device 5 judges the setting of the operating state of the facility equipment 3 according to the evacuation route calculated by the route search unit 14 so that evacuees can move more smoothly along the evacuation route.

[0087] For example, if the facility equipment 3 is an elevator, the determination unit 12 determines the number of evacuees heading to the elevator landing based on the evacuation route and people flow data calculated by the route search unit 14. The determination unit 12 determines how to allocate elevator cars based on the number of evacuees heading to the elevator landing, the number of evacuees in the elevator cars, or the capacity of the cars. The determination unit 12 may determine the setting of the operating state of the facility equipment 3 according to the attributes of the evacuees. For example, the determination unit 12 may determine the allocation of elevator cars so that evacuees who have difficulty using stairs, such as evacuees in wheelchairs, can use the elevator with higher priority.

[0088] For example, if the facility device 3 is a lighting facility device, the determination unit 12 determines to turn on the lights on the evacuation route. For example, if the facility device 3 is a device of an access control system, the determination unit 12 determines to unlock a door on the evacuation route or to open the door in advance. For example, if the facility device 3 is an autonomous robot or an autonomous drone, the determination unit 12 may determine to provide advance guidance along the evacuation route.

[0089] After step S24, the processing of the management system 1 proceeds to step S25. In step S25, the control unit 11 of the management device 5 outputs a control signal to the corresponding facility device 3 in accordance with the setting of the operating state of the facility device 3 determined by the determination unit 12. As a result, the facility device 3 operates based on the determination by the determination unit 12. Thereafter, the processing of the management system 1 ends.

[0090] As described above, the management system 1 according to the second embodiment includes the disaster detection unit 13 and the adjustment unit 15. The disaster detection unit 13 detects the occurrence of a disaster so as to acquire information on the disaster situation at the facility 2. The facility data includes design parameters of the facility 2. The adjustment unit 15 adjusts the analysis conditions performed by the analysis unit 9. The analysis unit 9 uses the facility data to evaluate the impact of the disaster detected by the disaster detection unit 13 on the strength of the facility 2. The adjustment unit 15 provides feedback to the design parameters so as to reduce the difference between the result of the evaluation performed by the analysis unit 9 and information on the disaster situation based on the information detected by the disaster detection unit 13. This configuration enables the impact of the disaster on the facility 2 to be quickly evaluated. Furthermore, the adjustment unit 15 feeds back evaluation errors to the design parameters, thereby further improving the accuracy of evaluations such as strength analysis.

[0091] The management system 1 also includes a route search unit 14 and an output unit 10. The route search unit 14 calculates evacuation routes for people in the facility 2 when a disaster occurs in the facility 2. The analysis unit 9 calculates the evacuation routes for people in the facility 2 based on the strength of the disaster at the facility 2. of influenceBased on the evaluation results, the safety of areas within the facility 2 that people can pass through is diagnosed. The route search unit 14 calculates evacuation routes for evacuees within the facility 2 based on the people flow data and the results of the safety diagnosis by the analysis unit 9. The output unit 10 outputs the evacuation routes calculated by the route search unit 14 to the presentation device 6, which presents information to the evacuees. This configuration provides evacuees with evacuation routes that take into account the results of disaster impact assessments such as intensity analysis and people flow, allowing them to evacuate to evacuation shelters more quickly. Furthermore, by analyzing and accumulating people flow data during normal times, the management system 1 can more quickly process information, such as evacuation route search, without the need to acquire and analyze large amounts of information when a disaster occurs. The management system 1 may also shorten analysis time by performing predictive analysis of people flow data, etc., by referencing data from past disasters such as earthquakes, regardless of their scale. Furthermore, because the management device 5 can use external devices as the people detection device 4, disaster detection device 7, and presentation device 6, the management system 1 can be configured using existing devices in the facility 2 and a communication network connectable to the management device 5. This reduces the introduction cost of the management system 1.

[0092] Furthermore, the output unit 10 outputs the evacuation route calculated by the route search unit 14 to an electronic device carried by an evacuee as a presentation device 6. With this configuration, the evacuee can evacuate while referring to the evacuation route, and can therefore move to the evacuation site more quickly.

[0093] Furthermore, the human detection unit 8 determines the attributes of the detected evacuees. The route search unit 14 calculates an evacuation route according to the attributes of the evacuees. With this configuration, evacuation routes that take into account the movement characteristics of the evacuees are presented, allowing the evacuees to move more quickly to the evacuation site.

[0094] Embodiment 3 In the third embodiment, differences from the examples disclosed in the first or second embodiment will be described in particular detail. For features not described in the third embodiment, any of the features of the examples disclosed in the first or second embodiment may be adopted.

[0095] FIG. 7 is a configuration diagram of a management system 1 according to the third embodiment.

[0096] In the management system 1 of this example, a management device 5a is applied to a facility 2a. A management device 5b is applied to a facility 2b. A management device 5c is applied to a facility 2c. In this example, the management devices 5a, 5b, and 5c are configured similarly to one another. Here, when there is no particular distinction between the facilities 2a, 2b, and 2c, they may be simply referred to as facility 2. Similarly, when there is no particular distinction between the management devices 5a, 5b, and 5c, they may be simply referred to as management devices 5. The management device 5 may be located in the facility 2 to which the management device 5 is applied, or may be located outside the facility 2.

[0097] The management device 5a is connected to a communication network so that it can acquire information from outside the facility 2a. The management device 5a acquires information, for example, from external services. External services include, for example, weather information services, disaster information services, and traffic information services provided by public institutions or other organizations. The management device 5a also acquires information, for example, from a management device 5b or a management device 5c that is applied to another facility 2, facility 2b or facility 2c.

[0098] In this example, a management device 5a applied to a facility 2a acquires information about the occurrence of a disaster that may affect the facility 2a from outside the facility 2a via a communication network. The management device 5a acquires information about the occurrence of a disaster such as an earthquake, for example, from an external weather information service or disaster information service. The management device 5a acquires information about a disaster that has occurred at another facility 2b, for example, from a management device 5b applied to the other facility 2b. Here, the disaster information acquired from the other management device 5b may include information detected by a disaster detection device 7 installed in the facility 2b to which the other management device 5b is applied.

[0099] In this example, the management device 5 applied to the facility 2a a The management device 5a acquires information about surrounding evacuation areas that may affect evacuation from the facility 2a from outside the facility 2a via a communication network. The management device 5a acquires information such as hazard maps, evacuation maps, or liquefaction maps that show estimated disaster damage, for example, from an external system such as a local government. The management device 5a acquires information such as traffic volume around the facility 2a from, for example, an external traffic information service. The management device 5a acquires information such as data on the results of strength analysis performed by the analysis unit 9 in another management device 5b applied to another facility 2b, or data on evacuation routes, for example, from another management device 5b applied to another facility 2b.

[0100] Next, an example of the operation of the management system 1 will be described with reference to FIG. FIG. 8 is a flowchart illustrating an example of the operation of the management system 1 according to the third embodiment.

[0101] In step S51, the management device 5a applied to the facility 2a determines whether the scale of the disaster exceeds a preset standard based on disaster occurrence information acquired from inside and outside the facility 2a. aThe management device 5a may make this determination based on information from a disaster detection device 7, such as a seismometer, installed within the facility 2a. The management device 5a may also make this determination based on information acquired from outside the facility 2a. The scale of the disaster may be, for example, the seismic intensity of the earthquake. If the scale of the disaster does not exceed the standard, the processing of the management system 1 ends. On the other hand, if the scale of the disaster exceeds the standard, the processing of the management system 1 proceeds to step S52.

[0102] In step S52, the management device 5a applied to the facility 2a acquires information about evacuation in the surrounding area that may affect evacuation from the facility 2a from outside the facility 2a via a communication network. After that, the processing of the management system 1 proceeds to step S53.

[0103] In step S53, the route search unit 14 of the management device 5a applied to the facility 2a calculates an evacuation route to an evacuation site for evacuees who are people in the facility 2a, based on information acquired from inside or outside the facility 2a. The evacuation site is, for example, a predetermined location such as outside the facility 2a. Then, in step S54, the output unit 10 outputs the evacuation route calculated by the route search unit 14 to the presentation device 6, which presents information to the evacuees. Then, in step S55, the presentation device 6 presents the evacuation route received from the route search unit 14 to the evacuees. Then, the processing of the management system 1 ends.

[0104] In the event of an earthquake occurring as a disaster at facility 2a, the route search unit 14 of the management device 5a calculates an evacuation route with the shortest travel time to an evacuation site from routes that satisfy the following conditions, for example: The route search unit 14 of the management device 5a imposes, as a condition for the evacuation route, a requirement that the user not pass through the vicinity of facility 2b when, for example, the analysis unit 9 of another management device 5b determines, based on information about evacuation in the vicinity, that facility 2b may be damaged or collapse. The analysis unit 9 of the management device 5a also analyzes where and how many people are distributed in the surrounding area of facility 2a based on evacuation route data and traffic volume data of other facilities 2b around facility 2a. The route search unit 14 of the management device 5a imposes, as a condition for the evacuation route, a requirement that the user not pass through areas around facility 2a where excessive crowding may occur beyond a preset standard. The locations around the facility 2a where people are congregating are analyzed by, for example, the analysis unit 9 of the management device 5a based on evacuation route data and traffic volume data for other facilities 2b and the like around the facility 2a.

[0105] The evacuation route calculated by the route search unit 14 is displayed on a map of the facility 2 or the area around the facility 2 on a presentation device 6 such as a smartphone carried by the user. The route search unit 14 may also prevent evacuees from congregating together by displaying different evacuation routes, assigned to each group of a certain number of people, on electronic devices carried by each evacuee.

[0106] Furthermore, the evacuation route calculated by the route searching unit 14 may be presented to an evacuee passing in front of a presentation device 6, such as a signage or a projector, provided in the facility 2 or in the vicinity of the facility 2. At this time, the presentation device 6 presents the evacuation route calculated by the route searching unit 14 with the presentation device 6 as the current location.

[0107] Furthermore, the determination unit 12 of the management device 5a determines the setting of the operating states of the equipment 3 in the facility 2a so that evacuees can move more smoothly along the evacuation route, according to the evacuation route calculated by the route search unit 14. At this time, the control unit 11 of the management device 5a controls the operating states of the equipment 3 in the facility 2a based on the determination of the determination unit 12.

[0108] With the above configuration, even when evacuating evacuees to the periphery of the facility 2, the management system 1 can smoothly present and guide evacuees to evacuation routes from the facility 2. [Industrial Applicability]

[0109] The management system, management device, management method, and management program according to the present disclosure can be applied to the management of equipment operating in a facility. [Explanation of symbols]

[0110] 1 Management system, 2, 2a, 2b, 2c Facility, 3 Equipment, 4 Person detection device, 5, 5a, 5b, 5c Management device, 6 Presentation device, 7 Disaster detection device, 8 Person detection unit, 9 Analysis unit, 10 Output unit, 11 Control unit, 12 Judgment unit, 13 Disaster detection unit, 14 Route search unit, 15 Adjustment unit, 100a Processor, 100b Memory, 200 Dedicated hardware

Claims

1. a human detection unit that detects people so as to acquire information on the distribution of people by time in the facility; an analysis unit that performs analysis, including acquisition and prediction, of people flow data that represents the distribution of people in the facility and changes in that distribution over time, based on facility data including information representing areas in the facility where people can pass and information detected by the person detection unit; a determination unit that determines settings of operation states of equipment installed in the facility based on the people flow data analyzed by the analysis unit; a control unit that operates the facility equipment based on the determination of the determination unit; a disaster detection unit that detects the occurrence of a disaster so as to acquire information on the state of the disaster in the facility; an adjustment unit that adjusts the analysis conditions of the analysis unit; Equipped with the facility data includes design parameters of the facility; the analysis unit uses the facility data to evaluate the impact of the disaster detected by the disaster detection unit on the strength of the facility; the adjustment unit performs feedback to the design parameters so as to reduce a difference between the result of the evaluation by the analysis unit and information on the disaster situation based on information detected by the disaster detection unit. Management system.

2. a route search unit that calculates an evacuation route for people in the facility when a disaster occurs in the facility; an output unit that outputs information to a presentation device that presents the input information; Equipped with the analysis unit performs a safety diagnosis of areas in the facility where people can pass based on the results of the assessment of the strength of the facility against the disaster; the route search unit calculates evacuation routes for evacuees who are people within the facility based on the people flow data and the results of the safety diagnosis by the analysis unit; The output unit outputs the evacuation route calculated by the route search unit to the presentation device that presents information to the evacuees. The management system according to claim 1 .

3. the output unit uses an electronic device carried by the evacuee as the presentation device and outputs the evacuation route calculated by the route search unit to the electronic device carried by the evacuee. The management system according to claim 2 .

4. The person detection unit determines attributes of the detected evacuees, the route search unit calculates an evacuation route according to attributes of the evacuees. The management system according to claim 2 or 3.

5. an output unit that outputs the people flow data analyzed by the analysis unit to a presentation device that presents input information; The management system of claim 1 , comprising:

6. an analysis unit that performs analysis, including acquisition and prediction, of people flow data that represents the distribution of people in the facility and changes in that distribution over time, based on facility data including information representing areas in the facility where people can pass through and information detected by a people detection unit that detects people so as to obtain information on the distribution of people by time in the facility; a determination unit that determines settings of the operation status of the equipment installed in the facility based on the people flow data analyzed by the analysis unit so that the settings can be reflected in the operation status of the equipment; a disaster detection unit that detects the occurrence of a disaster so as to acquire information on the state of the disaster in the facility; an adjustment unit that adjusts the analysis conditions of the analysis unit; Equipped with the facility data includes design parameters of the facility; the analysis unit uses the facility data to evaluate the impact of the disaster detected by the disaster detection unit on the strength of the facility; the adjustment unit performs feedback to the design parameters so as to reduce a difference between the result of the evaluation by the analysis unit and information on the disaster situation based on information detected by the disaster detection unit. Management device.

7. detecting people so as to obtain information about the distribution of people in the facility over time; performing analysis, including acquisition and prediction, of people flow data that represents the distribution of people in the facility and changes in that distribution over time, based on facility data that includes information representing areas in the facility where people can pass and design parameters of the facility, and information about person detection; determining the setting of the operating state of equipment installed in the facility based on the analysis result of the people flow data; operating the facility equipment using settings determined based on the analysis results of the people flow data; Detecting the occurrence of a disaster so as to obtain information on the disaster situation at the facility; Evaluating the impact of the detected disaster on the strength of the facility using the facility data; feedback to the design parameters so as to reduce the discrepancy between the results of the evaluation and information on the situation of the detected disaster; A computer system executes a management method.

8. In the computer system, detecting people so as to obtain information about the distribution of people in the facility over time; performing analysis, including acquisition and prediction, of people flow data that represents the distribution of people in the facility and changes in that distribution over time, based on facility data that includes information representing areas in the facility where people can pass and design parameters of the facility, and information about person detection; determining the setting of the operating state of equipment installed in the facility based on the analysis result of the people flow data; operating the facility equipment using settings determined based on the analysis results of the people flow data; Detecting the occurrence of a disaster so as to obtain information on the disaster situation at the facility; Evaluating the impact of the detected disaster on the strength of the facility using the facility data; feedback to the design parameters so as to reduce the discrepancy between the results of the evaluation and information on the situation of the detected disaster; A management program that runs

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