Mobile body introduction support system and mobile body introduction support method

Abstract

To provide a mobile object introduction support system and a mobile object introduction support method capable of securing transportation capacity of an elevator and suppressing deterioration of service performance due to different types of agents.SOLUTION: A mobile object introduction support system 1 includes a congestion degree calculation unit 21 and an operating number calculation unit for different types of agents 22. The congestion degree calculation unit 21 acquires congestion degree information on humans moving within a building and different types of agents, which are mobile objects different from humans. The operating number calculation unit 22 of different types of agents determines, on the basis of the congestion degree information acquired by the congestion degree calculation unit, the operating number of different types of agents.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a mobile object introduction support system and a mobile object introduction support method. [Background technology]

[0002] When installing an elevator, specifications such as the capacity of the car and the number of cars are determined to ensure sufficient transport capacity for the maximum pedestrian flow in the building it is installed in. In recent years, with the advancement of barrier-free access and smart buildings, elevators are increasingly being used not only by people but also by wheelchair users, personal mobility devices, and service robots.

[0003] Furthermore, wheelchairs, personal mobility devices, and service robots (hereinafter referred to as "heterogeneous agents") not only take longer to enter and exit elevators than people, but also occupy a larger area inside the elevator than people. Furthermore, elevator installation plans are determined assuming the elevator will be used to transport people. Therefore, as the number of heterogeneous agents increases, the elevator's transport capacity cannot be fully utilized as expected, and the elevator's service performance deteriorates.

[0004] Such technology for controlling the movement of non-human moving objects is described, for example, in Patent Document 1. Patent Document 1 describes a technology that includes an information storage unit, a congestion situation prediction unit, and an operation mode setting unit. Patent Document 1 also describes that the operation mode setting unit sets the robot to one of a plurality of operation modes that have different effects on the degree of congestion in the service area. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 2019-940 Summary of the Invention [Problem to be solved by the invention]

[0006] However, with the technology described in Patent Document 1, when congestion is predicted, the robot is made to wait in a waiting area and is stopped from moving, which reduces the service performance of the robot.

[0007] Taking the above problems into consideration, the present invention aims to provide a mobile object introduction support system and a mobile object introduction support method that can ensure elevator transport capacity and suppress degradation of service performance due to heterogeneous agents. [Means for solving the problem]

[0008] In order to solve the above problems and achieve this objective, the mobile object introduction support system includes a congestion degree calculation unit that acquires congestion degree information for people moving within a building and heterogeneous agents, which are mobile objects other than people, and a heterogeneous agent operating number calculation unit that determines the number of heterogeneous agents in operation based on the congestion degree information acquired by the congestion degree calculation unit.

[0009] The mobile object introduction support method also includes the following processes (1) and (2). (1) A process in which congestion degree calculation section acquires congestion degree information of people moving within a building and heterogeneous agents, which are moving bodies other than people. (2) A process in which the operating number of heterogeneous agents calculation unit determines the number of operating heterogeneous agents based on the congestion degree information acquired by the congestion degree calculation unit. [Effects of the Invention]

[0010] According to the mobile object introduction support system and mobile object introduction support method configured as described above, the elevator transportation capacity can be ensured and a decrease in service performance due to heterogeneous agents can be suppressed. [Brief explanation of the drawings]

[0011] [Figure 1]1 is a block diagram showing a schematic configuration of a mobile object introduction support system according to a first embodiment. [Figure 2] FIG. 2 is a diagram showing an example of specification information of the mobile object introduction support system according to the first embodiment. [Figure 3] FIG. 2 is a diagram showing an example of heterogeneous agent specification information of the mobile object introduction support system according to the first embodiment. [Figure 4] FIG. 2 is a diagram showing transportation demand information of the mobile unit introduction support system according to the first embodiment. [Figure 5] 10 is a flowchart showing an example of an operation for determining the number of operating heterogeneous agents, which is an operation example of the mobile unit introduction support system according to the first embodiment. [Figure 6] 4 is a flowchart showing a method for calculating a congestion degree in the mobile object introduction support system according to the first embodiment. [Figure 7] 4 is a flowchart showing a method for outputting an operation performance report of the mobile object introduction support system according to the first embodiment. [Figure 8] FIG. 3 is a diagram showing an operation performance report of the mobile object introduction support system according to the first embodiment. [Figure 9] FIG. 10 is a diagram showing another example of transportation demand information of the mobile unit introduction support system according to the first embodiment. [Figure 10] FIG. 10 is a block diagram showing a schematic configuration of a mobile object introduction support system according to a second embodiment. [Figure 11] 10 is a flowchart showing an example of an operation for determining the number of operating heterogeneous agents, which is an operation example of the mobile unit introduction support system according to the second embodiment. [Figure 12] FIG. 10 is a block diagram showing a schematic configuration of a mobile object introduction support system according to a third embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments of a mobile object introduction support system and a mobile object introduction support method will be described with reference to Figures 1 to 12. Note that common members in each figure are given the same reference numerals.

[0013] 1. First embodiment 1-1.Configuration of the mobile introduction support system First, the configuration of a mobile object introduction support system and a mobile object introduction support method according to a first embodiment (hereinafter referred to as "this example") will be described with reference to FIGS. 1 to 4. FIG. FIG. 1 is a block diagram showing an example of the configuration of a mobile object introduction support system according to this embodiment.

[0014] 1, the mobile object introduction support system 1 includes a calculation unit 2, a memory unit 3, an input unit 4, an output unit 5, and a command unit 6. The calculation unit 2, the memory unit 3, the input unit 4, the output unit 5, and the command unit 6 are connected to each other via a network N1 so as to be able to transmit and receive information to and from each other.

[0015] The calculation unit 2 is configured using, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a DSP (Digital Signal Processor), a GPU (Graphics Processing Unit), etc. The calculation unit 2 has a congestion degree calculation unit 21 and a heterogeneous agent operating number calculation unit 22.

[0016] The congestion degree calculation unit 21 calculates the congestion degree in the building based on information stored in the storage unit 3, which will be described later. Then, the congestion degree calculation unit 21 outputs the calculated congestion degree to the heterogeneous agent operating number calculation unit 22.

[0017] The heterogeneous agent operating number calculation unit 22 calculates the number of operating heterogeneous agents such as wheelchairs, personal mobility devices, and service robots as non-human moving objects based on the congestion degree calculated by the congestion degree calculation unit 21. The heterogeneous agent operating number calculation unit 22 outputs the calculated number of operating agents to the output unit 5 and the command unit 6.

[0018] The storage unit 3 is, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), a non-volatile memory (NVRAM (Non Volatile RAM)), a hard disk drive, an SSD (Solid State Drive), or the like.

[0019] The storage unit 3 stores elevator specification information 31, heterogeneous agent specification information 32, traffic demand information 33, which is information on the amount of movement of people and heterogeneous agents, and building specification information 34. The storage unit 3 also stores past operation information of elevators.

[0020] 2 to 4 are diagrams showing examples of various types of specification information stored in the storage unit 3. Fig. 2 shows examples of elevator specification information 31 and building specification information 34, Fig. 3 shows an example of heterogeneous agent specification information 32, and Fig. 4 shows an example of transportation demand information 33.

[0021] As shown in FIG. 2, the elevator specification information 31 includes, for example, "ID," "type," "capacity (persons)," "door width (mm)," "speed (m / s)," and "acceleration (m / s)." 2 ) and "Door opening / closing time (s)". The building specification information 34 includes, for example, "floor", "floor height (mm)", "service floor", etc.

[0022] 3, the heterogeneous agent specification information 32 may include, for example, a "label" indicating the type of heterogeneous agent. For each type (label) of heterogeneous agent, the "exclusive area in the car (number of people)", "boarding time (s)", "travel speed (m / s)", "weight (kg)", "width (mm)", "depth (mm)", "height (mm)", etc. are set in advance.

[0023] As shown in Fig. 4, the traffic demand information 33 includes not only "traffic demand information for people" but also "traffic demand information for different agents." The "traffic demand information for people" and the "traffic demand information for different agents" are set for each predetermined time period.

[0024] The "traffic demand information for people" stores the number of people who will board at the departure point (floor) and the number of people who will alight at the destination (floor) expected during a preset time period. The "traffic demand information for different agents" stores the number of vehicles who will board at the departure point (floor) and the number of vehicles who will alight at the destination (floor) expected during a preset time period. The traffic demand information 33 is updated at a predetermined time or every day.

[0025] The input unit 4 is an input interface that receives information from the outside. Examples of the input unit 4 include various sensors installed in the building, touch sensors, keyboards, etc. The information input to the input unit 4 is output to the calculation unit 2, storage unit 3, etc. via the network N1.

[0026] The output unit 5 is an output interface that provides information to the outside. Examples of the output unit 5 include a speaker, an LED (Light Emitting Diode), a screen display device (such as a liquid crystal display or a projector), a printer, and a device for recording data onto a recording medium.

[0027] The command unit 6 outputs to the heterogeneous agents the information calculated by the calculation unit 2 and the information input to the input unit 4. The heterogeneous agents then operate based on the information output from the command unit 6.

[0028] 1-2. Example of operation of the mobile introduction support system Next, an example of the operation of the mobile object introduction support system 1 having the above-described configuration will be described with reference to FIGS. FIG. 5 is a flowchart showing an example of the operation for determining the number of operating heterogeneous agents. 5, the congestion degree calculation unit 21 of the calculation unit 2 estimates (calculates) the congestion degree in the building from the past elevator operation information and traffic demand information 33 collected in the storage unit 3 (step S101). The method for calculating the congestion degree will be described later in detail.

[0029] Then, the congestion degree calculation unit 21 outputs the calculated congestion degree to the operating heterogeneous agent number calculation unit 22. Next, the operating heterogeneous agent number calculation unit 22 calculates the type and number of operable heterogeneous agents based on the calculated congestion degree and information on the heterogeneous agents deployed in the building (heterogeneous agent specification information 32) (step S102). Then, the operating heterogeneous agent number calculation unit 22 outputs the calculated information to the command unit 6.

[0030] Next, the command unit 6 outputs an operation command to the heterogeneous agents based on the information calculated by the heterogeneous agent operating number calculation unit 22 (step S103). This completes the operation of determining the number of operating heterogeneous agents by the mobile object introduction support system 1.

[0031] The commands output to the heterogeneous agents in step S103 include, for example, limiting the number of operating units on all floors of the building combined, limiting the number of operating units on each floor or on a specific floor, restricting access to a specific floor, etc. This completes the operation of determining the number of operating heterogeneous agents by the mobile object introduction support system 1.

[0032] In this way, the mobile object introduction support system 1 of this example does not stop the movement of all heterogeneous agents, but determines the number of heterogeneous agents to operate depending on the congestion level. This ensures the elevator's transportation capacity and prevents the degradation of service performance due to heterogeneous agents.

[0033] Next, an example of a method for calculating the congestion degree will be described with reference to FIG. FIG. 6 is a flowchart showing a method for calculating the congestion degree. 6, the congestion degree calculation unit 21 determines information to be used to calculate the congestion degree from the collected past elevator operation information and traffic demand information 33 (step S111). Information to be used to calculate the congestion degree includes "information from the previous day," "information on the same day last month," "information on the same day last year," and "information from the past X days." Past operation information includes, for example, the average occupancy rate (%) for X minutes, the average hall call duration (seconds), and the average number of hall call passes (times).

[0034] Next, the congestion degree calculation unit 21 divides the operation information and traffic demand information 33 used to calculate the congestion degree determined in the processing of step S111 into any time interval (X minutes) (step S112). Then, the congestion degree calculation unit 21 converts the operation information and traffic demand information 33 divided in the processing of step S112 into predetermined information (step S113). The information converted in step S113 includes calculation of the average value or median of the divided information, clustering, etc.

[0035] Next, the congestion degree calculation unit 21 extracts any information from the operation information converted in the process of step S113 and calculates multiple evaluation values ​​using multiple evaluation formulas (step S114). The congestion degree calculation unit 21 also selects one congestion degree from the multiple calculated congestion degrees based on a given judgment method. Then, the congestion degree calculation unit 21 determines the selected congestion degree as the congestion degree from the present until X minutes later (step S115). This completes the congestion degree calculation operation by the congestion degree calculation unit 21.

[0036] The method for calculating the congestion degree is not limited to the above-described method, and various other calculation methods may be applied. For example, congestion degree information according to time periods may be created in advance as preset congestion degree information and stored in the storage unit 3. The congestion degree calculation unit 21 may then acquire the congestion degree according to time periods from the congestion degree information created in advance and stored in the storage unit 3. The congestion degree information stored in the storage unit 3 may also be updated as appropriate through actual operation or machine learning.

[0037] 1-3. How to output the operation performance report Furthermore, the mobile object introduction support system 1 of this embodiment outputs a performance report of the number of operating heterogeneous agents that have been output. Next, a method for outputting the performance report will be described with reference to FIGS. FIG. 7 is a flowchart showing a method for outputting an operation performance report, and FIG. 8 is a diagram showing an example of the operation performance report.

[0038] As shown in Fig. 7, the congestion degree calculation unit 21 of the calculation unit 2 calculates the congestion degree from the collected elevator operation information and traffic demand information for the day after the elevator operation has ended, such as after the end of business hours (step S121). Note that the processing of step S121 is not limited to after the end of business hours, and may be performed at a predetermined timing, for example. Furthermore, the operation information collected in step S121 is, for example, "elevator operation information" shown in Fig. 8.

[0039] Next, the calculation unit 2 calculates an evaluation of the number of active agents and an appropriate number of active heterogeneous agents based on the (predicted) congestion level calculated while the elevator is in operation, the actual congestion level, and the operational performance of the heterogeneous agents (step S122). As a result, the "other operation information" and "heterogeneous agent operation information" shown in FIG. 8 are created. Examples of the "other operation information" include the "time period," the "selected congestion level determination index," the "calculated predicted congestion level," the "actual congestion level," the "evaluation of the number of active agents," the "basis for evaluation of the number of active agents," and the "appropriate number of agents." Furthermore, the "basis for evaluation of the number of active agents" is calculated based on the "heterogeneous agent operation information."

[0040] The "evaluation of the number of working agents" is set to indicate whether the number of different types of agents is insufficient, excessive, or appropriate. This "evaluation of the number of working agents" is calculated from the difference between a target value stored in advance in the storage unit 3 and the actual operation results of the different types of agents. Based on the calculated difference, the "evaluation of the number of working agents" is set to indicate whether the number of different types of agents is insufficient, excessive, or appropriate.

[0041] If there is a shortage or surplus, the appropriate number of agents to be added or removed is set as the "appropriate number of agents." Furthermore, if there is a shortage or surplus, time information (waiting time, etc.) that serves as the basis for the judgment is also output at the same time.

[0042] Examples of "heterogeneous agent operation information" include "heterogeneous agent identifier (label)," "time period," "number of operating vehicles (vehicles)," "service performance," "average waiting time (seconds)," "average ride time (seconds)," "average service completion time (seconds)," "average number of charge attempts (times)," "average power usage (kWh)," "average travel distance (floor)," "maximum waiting time (seconds)," "maximum ride time (seconds)," "maximum service completion time (seconds)," "maximum number of charge attempts (times)," "maximum power usage (kWh)," and "maximum travel distance (floor)."

[0043] Next, the output unit 5 compiles the "elevator operation record," "heterogeneous agent operation record," and "other operation record" calculated by the calculation unit 2 and shown in Fig. 8 and outputs them as an operation record report. This completes the operation of outputting the operation record report.

[0044] "Elevator operation record," "Heterogeneous agent operation record," and "Other operation record" may be output simultaneously, or "Elevator operation record" and "Heterogeneous agent operation record" may be output first, and then "Other operation record" may be calculated and output. Also, only "Evaluation of the number of working agents," "Basis for evaluation of the number of working agents," and "Appropriate number of agents" may be output.

[0045] In this way, the mobile object introduction support system 1 of this example creates and outputs an operation performance report, thereby providing appropriate information to elevator and service robot maintenance companies, building owners, and elevator users. For example, the operation performance of heterogeneous agents can be presented to maintenance companies. Building owners can be informed of whether the number of heterogeneous agents in operation is insufficient, excessive, or appropriate. Elevator users can be informed of the increase or decrease in the probability of riding with heterogeneous agents depending on the time of day, along with the reasons for this. This not only improves the service performance of heterogeneous agents, but also improves the convenience of elevators.

[0046] 1-4.Other examples of transportation demand information Next, another example of the transportation demand information will be described with reference to Fig. 9. Fig. 9 is a diagram showing another example of the transportation demand information. As shown in Fig. 9, the traffic demand information includes "traffic demand information for people" and "traffic demand information for different agents." "Traffic demand information for people" and "traffic demand information for different agents" are set for each predetermined time period. "Traffic demand information for people" and "traffic demand information for different agents" contain information on the direction of car movement (up or down), the number of passengers getting on at each floor, and the number of passengers getting off.

[0047] The transportation demand information 33 is not limited to the examples shown in FIGS. 4 and 9, and various other information may be set as transportation demand information.

[0048] 2. Second embodiment Next, a mobile object introduction support system according to a second embodiment will be described with reference to FIGS. FIG. 10 is a block diagram showing a mobile unit introduction support system according to the second embodiment, and FIG. 11 is a flowchart showing an example of the operation of the mobile unit introduction support system according to the second embodiment.

[0049] The mobile unit introduction support system according to the second embodiment differs from the mobile unit introduction support system according to the first embodiment in the configuration of the calculation unit. Therefore, parts common to the mobile unit introduction support system according to the first embodiment are assigned the same reference numerals and redundant explanations will be omitted.

[0050] As shown in FIG. 10, the mobile object introduction support system 1A includes a calculation unit 2A, a storage unit 3, an input unit 4, an output unit 5, and a command unit 6. The calculation unit 2A includes a congestion degree calculation unit 21, a heterogeneous agent operating number calculation unit 22, a learning unit 23, and a judgment unit 24. The learning unit 23 predicts the congestion degree by learning the congestion degree calculated by the congestion degree calculation unit 21 from past data. The learning unit 23 may also learn the number of operating vehicles from the number of operating vehicles calculated by the heterogeneous agent operating number calculation unit 22 and evaluation information input to the input unit 4. Furthermore, the learning unit 23 learns actual traffic demand based on actual pedestrian traffic volume, the operating performance of heterogeneous agents, etc., and updates traffic demand information 33.

[0051] The determination unit 24 selects one congestion degree based on a given determination index from among the multiple congestion degrees calculated by the congestion degree calculation unit 21. Then, the calculation unit 2A sets the congestion degree selected by the determination unit 24 as the congestion degree from the present until X minutes from now.

[0052] Next, an example of the operation of the mobile object introduction support system 1A according to the second embodiment will be described with reference to FIG. FIG. 11 is a flowchart showing an example of the operation for determining the number of operating heterogeneous agents.

[0053] 11, the learning unit 23 learns a congestion degree estimation model by machine learning or the like using the past elevator operation information and traffic demand information 33 collected in the storage unit 3 (step S201). Next, the congestion degree calculation unit 21 calculates the congestion degree using the congestion degree estimation model learned by the learning unit 23 (step S202).

[0054] Then, the operating heterogeneous agent number calculation unit 22 calculates the types and number of operable heterogeneous agents based on the calculated congestion level and information on the heterogeneous agents deployed in the building (heterogeneous agent specification information 32) (step S203). Next, the command unit 6 outputs operation commands to the heterogeneous agents based on the information calculated by the operating heterogeneous agent number calculation unit 22 (step S204). This completes the operation of determining the number of operating heterogeneous agents by the mobile object introduction support system 1A.

[0055] According to the mobile object introduction support system 1A of the second embodiment, the learning unit 23 learns the congestion degree estimation model, thereby improving the accuracy of the congestion degree calculated by the congestion degree calculation unit 21, and making it possible to determine a more appropriate number of heterogeneous agents in operation.

[0056] Other configurations are the same as those of the moving body introduction support system 1 according to the first embodiment, and therefore a description thereof will be omitted. A hoist equipped with the moving body introduction support system 1A having such a configuration can also obtain the same effects as those of the moving body introduction support system 1 according to the first embodiment described above.

[0057] 3. Third embodiment Next, a mobile object introduction support system according to a third embodiment will be described with reference to FIG. 12 is a block diagram showing a mobile unit introduction support system 1B according to a third embodiment. Note that parts common to the mobile unit introduction support system 1 according to the first embodiment and the mobile unit introduction support system 1A according to the second embodiment are assigned the same reference numerals and redundant explanations will be omitted.

[0058] As shown in Fig. 12, the mobile object introduction support system 1B is connected to an elevator control unit 100 that controls the operation of elevators via a network N2. Elevator operation record information and important traffic information are input from the elevator control unit 100 to an input unit 4 of the mobile object introduction support system 1B via the network N2. Based on this information, the traffic demand information 33 in the memory unit 3 is updated.

[0059] Furthermore, in the hall of each floor where the elevator stops, there is provided a ride-along permission button 101 that allows passengers in the elevator car to refuse or permit riding with a different type of agent. The ride-along permission button 101 and the elevator control unit 100 are connected via a network N3. Information input to the ride-along permission button 101 is input to the mobile object introduction support system 1B via networks N2 and N3.

[0060] Based on the information from the riding together button 101, the command unit 6 of the mobile object introduction support system 1B outputs a command to the heterogeneous agent. For example, if riding together with a heterogeneous agent is refused, command information is output to the heterogeneous agent so that the heterogeneous agent is not allowed to ride in that elevator car. This can improve the convenience for people using the elevator.

[0061] Other configurations are the same as those of the mobile object introduction support system 1 according to the first embodiment, and therefore a description thereof will be omitted. The mobile object introduction support system 1B having such a configuration can also obtain the same effects as those of the mobile object introduction support system 1 according to the first embodiment described above.

[0062] The present invention is not limited to the embodiments described above and shown in the drawings, and various modifications can be made without departing from the spirit of the invention as set forth in the claims.

[0063] Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is possible to add, delete, or replace part of the configuration of each embodiment with other configurations. Furthermore, the above-described configurations, functions, processing units, processing means, etc. may be implemented in hardware, in part or in whole, by designing them as integrated circuits, for example. Furthermore, the above-described configurations, functions, etc. may be implemented in software by a processor interpreting and executing a program that realizes each function. Information such as programs, tables, and files that realize each function can be stored in memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD. [Explanation of symbols]

[0064] 1, 1A, 1B...mobile object introduction support system, 2, 2A...calculation unit, 3...storage unit, 4...input unit, 5...output unit, 6...command unit, 21...congestion degree calculation unit, 22...heterogeneous agent operating number calculation unit, 23...learning unit, 24...judgment unit, 31...elevator specification information, 32...heterogeneous agent specification information, 33...traffic demand information, 34...building specification information, 100...elevator control unit, 101...passenger permission button

Claims

1. a congestion degree calculation unit that acquires congestion degree information of people moving within the building and heterogeneous agents that are moving bodies other than people; a heterogeneous agent operating number calculation unit that determines the number of the heterogeneous agents operating based on the congestion degree information acquired by the congestion degree calculation unit; A mobile introduction support system equipped with the above.

2. a storage unit that stores traffic demand information that is movement amount information of people and the different types of agents moving within the building; The congestion degree calculation unit calculates the congestion degree information based on the traffic demand information. The mobile object introduction support system according to claim 1.

3. The congestion degree calculation unit calculates the congestion degree information based on past operation information of elevators installed in the building and the traffic demand information. The mobile object introduction support system according to claim 2.

4. The congestion degree calculation unit calculates a plurality of congestion degrees by a plurality of calculation methods, and selects the congestion degree information to be used by the heterogeneous agent operating number calculation unit from the calculated plurality of congestion degrees based on a given judgment method. The mobile object introduction support system according to claim 3.

5. a learning unit that learns a congestion degree estimation model based on past operation information of elevators installed in the building and the traffic demand information, The congestion degree calculation unit calculates the congestion degree information using the congestion degree estimation model learned by the learning unit. The mobile object introduction support system according to claim 2.

6. A calculation unit is provided for evaluating the number of operating agents of the different types based on the operating results of the different types of agents and a preset target value. The mobile object introduction support system according to claim 1.

7. The calculation unit calculates the difference between the congestion degree information calculated by the congestion degree calculation unit and the actual congestion degree for each hour, and outputs the difference as an operation performance report. The mobile object introduction support system according to claim 6.

8. an output unit that is connected to an elevator control unit that controls the operation of an elevator installed in the building and outputs command information to the heterogeneous agents based on information from the elevator control unit; The mobile object introduction support system according to claim 1.

9. A process of acquiring congestion degree information of people moving within the building and heterogeneous agents that are moving bodies other than people by a congestion degree calculation unit; a process of determining the number of operating heterogeneous agents by a heterogeneous agent operating number calculation unit based on the congestion degree information acquired by the congestion degree calculation unit; A method for supporting the introduction of a mobile object, including:

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