Cargo handling vehicle management system, server, cargo handling vehicle management method, and program

Abstract

To make it possible to utilize a result of analyzing the behavior of a cargo handling vehicle by linking an on-vehicle device with a beacon installed in a facility.SOLUTION: A cargo handling vehicle management system 1 includes an on-vehicle device 10 mounted on a cargo handling vehicle, and a server 80 analyzing data collected by the on-vehicle device 10. The on-vehicle device 10 includes a beacon receiving unit 15 receiving a radio wave including a beacon ID emitted from a beacon B installed at a prescribed area in a facility, a time acquisition unit (an RTC unit 21, a CPU 11) acquiring time information showing the entry time when the cargo handling vehicle enters the prescribed area based on the intensity of the received radio wave, an extraction unit (the CPU 11) extracting the beacon ID from the received radio wave, and a recording unit 17 recording the time information and the beacon ID. The server 80 has an analysis unit (a CPU 81) analyzing the behavior of the cargo handling vehicle based on the time information and identification information recorded by the recording unit, and an output unit (a communication unit 82) outputting the analyzed result.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a cargo handling vehicle management system, a server, a cargo handling vehicle management method, and a program. [Background technology]

[0002] BACKGROUND ART Forklifts are used to transport cargo in warehouses, factories, etc. Techniques have been proposed for efficiently transporting cargo in warehouses, etc. (See, for example, Patent Documents 1 to 3). Patent Document 1 discloses an item location management system that manages items using wireless tags attached to pallets on which cargo is loaded. Patent Document 2 discloses an information processing system that analyzes the operating status of a user or a forklift based on the reception status of a first signal, a second signal, and a third signal. The first signal indicates the current location of the mobile terminal, the second signal indicates the loading status of items on the forklift, and the third signal indicates the riding status of the user on the forklift. Patent Document 3 discloses a work management system that notifies a worker that loading work has been completed based on the reception status of radio waves from a beacon carried by the worker.

[0003] The technologies of Patent Documents 1 to 3 all use beacon signals to determine location, etc. Patent Document 4 also shows a technology that uses beacon signals. Patent Document 4 discloses a truck operation management device that uses beacons carried by vehicle drivers to record truck operation data. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2018-127298 [Patent Document 2] Japanese Patent Publication No. 2020-19628 [Patent Document 3] Patent Publication No. 2021-33551 [Patent Document 4] Japanese Patent Publication No. 2020-140356 Summary of the Invention [Problem to be solved by the invention]

[0005] However, in the above Patent Documents 1 to 4, there is room for improvement in terms of combining and utilizing the beacon signals emitted from the beacons installed in the warehouse and the data collected by the vehicle-mounted device.

[0006] The present invention has been made in consideration of the above-mentioned circumstances, and its purpose is to link an on-board device with a beacon installed within a facility, thereby making it possible to utilize the results of an analysis of the behavior of loading and unloading vehicles. [Means for solving the problem]

[0007] In order to achieve the above-mentioned object, the cargo handling vehicle management system, server, cargo handling vehicle management method, and program according to the present invention are provided with the following (1) to ( 9 ) is a feature of the (1) A cargo handling vehicle management system including an on-board device mounted on a cargo handling vehicle and a server that analyzes data collected by the on-board device, The vehicle-mounted device a receiving unit that receives radio waves including identification information of a transmitter that is installed in a predetermined area within the facility; a time acquisition unit that acquires time information indicating the entry time of the cargo handling vehicle into the predetermined area based on the intensity of the received radio wave; an extractor that extracts the identification information from the received radio wave; a recording unit that records the acquired time information and the extracted identification information, The server an analysis unit that analyzes the behavior of the cargo handling vehicle based on the time information and the identification information recorded by the recording unit; an output unit that outputs the analyzed results, The server further includes an evaluation unit that evaluates the behavior of the cargo handling vehicle by comparing a target value with an analysis result by the analysis unit. Loading vehicle management system. (2) the analysis unit calculates the number of times the cargo handling vehicle has entered the predetermined area from the entry time; The output unit outputs the identification information of the transmitter and the number of entries in association with each other. The cargo handling vehicle management system according to (1) above. (3) The time acquisition unit of the on-board device further acquires time information indicating an exit time at which the cargo handling vehicle exits the specified area based on the intensity of the received radio wave, The analysis unit of the server calculates a stay time during which the cargo handling vehicle stayed in the predetermined area from the entry time and the exit time, The output unit of the server outputs the staying time in the predetermined area as the analyzed result. The cargo handling vehicle management system according to (1) or (2) above. ( 4 ) the on-board device generates a trigger when a dangerous behavior occurs in the cargo handling vehicle, records information including an image showing a situation in the vicinity of the cargo handling vehicle and vehicle data of the cargo handling vehicle as trigger information, and transmits the trigger information to the server; The server receiving the trigger information; The analysis unit calculates the location and the number of times the dangerous behavior occurred based on the trigger information, the evaluation unit evaluates efficiency and safety of a layout within the facility based on the location and number of times the dangerous behavior occurred. the above( 1 ) A cargo handling vehicle management system as described above. ( 5 ) the on-board device generates a trigger when a dangerous behavior occurs in the cargo handling vehicle, records information including an image showing a situation in the vicinity of the cargo handling vehicle and vehicle data of the cargo handling vehicle as trigger information, and transmits the trigger information to the server; the receiving unit receives radio waves including identification information of the driver, the radio waves being emitted from a beacon carried by the driver of the cargo handling vehicle; The server receiving the trigger information; The analysis unit before Calculating the stay time of the cargo handling vehicle in the predetermined area, which is obtained for each driver; the evaluation unit evaluates the work efficiency and safety of the driver based on the trigger information and the staying time. the above( 1 ) A cargo handling vehicle management system as described above. ( 6 ) The server performs a series of processes including the analysis by the analysis unit and the evaluation by the evaluation unit two or more times, and updates the target value from the second time onwards. the above( 1 ) A cargo handling vehicle management system as described above. ( 7 ) A server that analyzes data collected by an on-board device mounted on a cargo handling vehicle, The vehicle-mounted device recording time information indicating the time when the cargo handling vehicle entered a predetermined area within the facility and identification information of a transmitter installed in the predetermined area; The server an analysis unit that analyzes the behavior of the cargo handling vehicle based on the time information and the identification information acquired from the on-board device; a communication unit that transmits the analyzed results to a communication terminal; an evaluation unit that evaluates the behavior of the cargo handling vehicle by comparing a target value with an analysis result by the analysis unit; having server. ( 8 ) A cargo handling vehicle management method in a cargo handling vehicle management system including an on-board device mounted on a cargo handling vehicle and a server that analyzes data collected by the on-board device, receiving radio waves containing identification information of a transmitter that is emitted from a transmitter installed in a predetermined area within the facility; acquiring time information indicating the entry time of the cargo handling vehicle into the predetermined area based on the intensity of the received radio wave; extracting the identification information from the received radio wave; Analyzing the behavior of the cargo handling vehicle based on the acquired time information and the extracted identification information; The analyzed results are sent to the communication terminal death , evaluating the behavior of the cargo handling vehicle by comparing the target value with the analysis result of the behavior of the cargo handling vehicle; Loading vehicle management methods. ( 9 ) on your computer, 8 ) A program for executing the cargo handling vehicle management method described in the above.

[0008] The cargo handling vehicle management system configured as described above in (1), 7 ) the configuration of the server, above ( 8 ) configuration of the cargo handling vehicle management method, and the above ( 9 According to the program having the above configuration, the on-board device can be linked with a beacon installed within the facility to analyze the behavior of cargo handling vehicles and output the analysis results to a communication terminal or the like carried by the user. Therefore, users such as managers and service providers can use the analysis results to improve efficiency and safety. In addition, the analysis results can be used to improve the layout within the facility (warehouse, premises) and to manage the flow of cargo handling vehicles. Furthermore, according to the cargo handling vehicle management system of the configuration (1) above, the server of the configuration (7) above, the cargo handling vehicle management method of the configuration (8) above, and the program of the configuration (9) above, evaluation results are output, so that users can use the evaluation results to improve efficiency and safety.

[0009] The cargo handling vehicle management system configured as described in (2) above can visualize the number of times a vehicle enters a designated area. This can be useful for improving the layout, for example, by setting the area around a baggage storage location as a designated area and dispersing the baggage storage locations if the number of times a vehicle enters a designated area is high.

[0010] The cargo handling vehicle management system configured as described in (3) above can visualize the time spent in a specific area. In addition, by grasping the time spent in a specific area multiple times, calculating the average time spent, and setting a standard work time, it is possible to instruct drivers to standardize their work, thereby improving work efficiency.

[0011] above Note( 4 )'s cargo handling vehicle management system has been evaluated for its efficiency and safety in the facility layout. do. the above( 5 ) configuration of the cargo handling vehicle management system allows the efficiency and safety of the facility layout to be evaluated.

[0012] the above( 6 According to the cargo handling vehicle management system having the above configuration, the server repeatedly performs a series of processes, including analysis and evaluation of the behavior of the cargo handling vehicle, while updating the target values, thereby further improving efficiency and safety. [Effects of the Invention]

[0013] According to the present invention, the vehicle-mounted device can be linked with a beacon installed within a facility, and the results of analyzing the behavior of cargo handling vehicles can be utilized.

[0014] The present invention has been briefly described above. The details of the present invention will become clearer by reading the following detailed description of the invention (hereinafter referred to as "embodiments") with reference to the accompanying drawings. [Brief explanation of the drawings]

[0015] [Figure 1] FIG. 1 is a diagram showing the configuration of an analysis system according to one embodiment of the present invention. [Figure 2] FIG. 2 is a side view showing an example of the appearance of a forklift truck and a load during operation. [Figure 3] FIG. 3 is a side view showing a typical example of the relationship between the camera and the forklift. [Figure 4] FIG. 4 is a flowchart showing an example of the operation of the vehicle-mounted device. [Figure 5] FIG. 5 is a flowchart showing an example of the operation of the vehicle-mounted device. [Figure 6] FIG. 6 is a diagram showing an example of image analysis. [Figure 7] FIG. 7 is a flowchart showing an example of the operation of the vehicle-mounted device. [Figure 8] FIG. 8 is a diagram illustrating an example of a request for analysis by a server. [Figure 9] FIG. 9 is a diagram illustrating an example of an analysis result by the server. [Figure 10]FIG. 10 is a diagram illustrating an example of an analysis result by the server. [Figure 11] FIG. 11 is a diagram illustrating an example of an analysis result by the server. [Figure 12] FIG. 12 is a diagram illustrating an example of an analysis result by the server. [Figure 13] FIG. 13 is a diagram illustrating an example of an analysis result by the server. [Figure 14] FIG. 14 is a diagram illustrating an example of an analysis result by the server. [Figure 15] FIG. 15 is a diagram showing an example of installation of fixed beacons in a warehouse. [Figure 16] FIG. 16 is a diagram for explaining an example of a PDCA cycle in a cargo handling vehicle management system. [Figure 17] FIG. 17 is a diagram showing an example of how data stored in a server is utilized. [Figure 18] FIG. 18 is a graph showing an example of the analysis result by the server. [Figure 19] FIG. 19 is a graph showing an example of the analysis results by the server. [Figure 20] FIG. 20 is a graph showing an example of the analysis results by the server. [Figure 21] FIG. 21 is a graph showing an example of the analysis results by the server. [Figure 22] FIG. 22 is a diagram illustrating an example of an analysis result by the server. [Figure 23] FIG. 23 is a graph showing an example of the evaluation results by the server. [Figure 24] FIG. 24 is a graph showing an example of the evaluation results by the server. [Figure 25] FIG. 25 is a graph showing an example of the analysis results by the server. [Figure 26] FIG. 26 is a graph showing an example of the analysis results by the server. [Figure 27] FIG. 27 is a graph showing an example of the analysis results by the server. DETAILED DESCRIPTION OF THE INVENTION

[0016] Specific embodiments of the present invention will be described below with reference to the accompanying drawings.

[0017] <System configuration> The configuration of a cargo handling vehicle management system 1 according to one embodiment of the present invention is shown in Fig. 1. The cargo handling vehicle management system shown in Fig. 1 is primarily used to assist drivers in driving cargo handling vehicles such as forklifts to transport cargo within a facility such as a warehouse.

[0018] The cargo handling vehicle management system 1 shown in FIG. 1 includes, as customer-side equipment, an on-board device 10 that is mounted on each cargo handling vehicle and used, and an office PC 30 (communications terminal) that is installed in a designated office to manage each cargo handling vehicle, workers, work content, etc. The cargo handling vehicle management system 1 also includes, as analysis service provider-side equipment, a server 80 that performs analysis based on various data collected from the on-board device 10 and transmits the analysis results to the office PC 30. The cargo handling vehicle management system 1 includes multiple office PCs 30 and multiple on-board devices 10 that are installed in the offices of multiple customers. Each customer can use the analysis service provided by the server 80 by, for example, using a dedicated application that is cargo handling vehicle management software pre-installed in each office PC 30. Although details will be described later, the vehicle-mounted device 10 of this embodiment has functions that contribute to safe driving and efficient operation in addition to the normal drive recorder functions. Specifically, the vehicle-mounted device 10 receives radio waves emitted from multiple beacons (transmitters) installed within the facility and monitors and records the transportation status (operation status) of the cargo handling vehicle. The vehicle-mounted device 10 also has a battery management function that contributes to extending the battery life and reducing the number of battery replacements.

[0019] The vehicle-mounted device 10 and the office PC 30 do not have to be connected via a network. In this case, the vehicle-mounted device 10 is configured to read a memory card 65 that holds data recorded in the vehicle-mounted device 10.

[0020] The office PC 30 is a general-purpose computer device installed in an office, and manages information such as the operating status of cargo handling vehicles and specific locations where collision accidents are likely to occur. In the example of FIG. 1, data communication between the vehicle-mounted device 10 and the office PC 30 is relayed by a base station 71, a server 80 (analysis device), and a network 70. Wireless communication between the base station 71 and the vehicle-mounted device 10 may be performed via a mobile communication network (cellular network) such as LTE (Long Term Evolution) / 5G (5th Generation), or via a wireless LAN (Local Area Network), either of which can be selectively used. The network 70 is a network (packet communication network) such as the Internet, and relays data communication between the office PC 30 and the server 80.

[0021] The vehicle-mounted device 10 includes various interfaces (I / F) 12A, 12B, 13, 14, 16, 19, and 29 to enable input or output of various signals. The speed I / F 12A has a function for inputting a vehicle speed pulse signal output from a vehicle speed sensor 51 mounted on the vehicle side. The engine rotation I / F 12B has a function for inputting an engine rotation pulse signal output from the vehicle side. The external input I / F 13 is used to input various external signals, and has a function for inputting the battery voltage value output from a battery voltmeter 53, an operation signal indicating the lifting and lowering operation of the load holding portion (claws) of the forklift, etc.

[0022] The sensor input I / F 14 is used to input signals from various sensors. In the example of FIG. The G sensor 28 detects the magnitude of acceleration in various directions applied to the vehicle on which the vehicle-mounted device 10 is mounted. Based on the output of the G sensor 28, the control unit 11 detects sudden deceleration or sudden acceleration of the forklift 90. The gyro sensor 52 detects the rotational angular velocity around each of the pitch axis, yaw axis, and roll axis of the forklift 90 on which the vehicle-mounted device 10 is mounted, thereby The control unit 11 can output signals indicating changes in the pitch angle, yaw angle, and roll angle. Based on the outputs of the gyro sensor 52 and the G sensor 28, the control unit 11 detects a sharp turn of the forklift 90.

[0023] The analog input I / F 29 is used to input various analog signals. The battery voltage value output by the battery voltmeter 53 can be input to the analog input I / F 29. The control unit 11 monitors the battery voltage status based on the output of the battery voltmeter 53. In addition, the output of a thermometer that measures the temperature inside and outside the premises can be input to the analog input I / F 29. The control unit 11 can use the output of the thermometer, for example, to manage the driver's physical condition (detect abnormalities). The camera I / F 16 has a function for connecting the cameras 23A and 23B. That is, the camera I / F 16 has a function for capturing the video signals output by the cameras 23A and 23B and converting them into predetermined digital image data suitable for computer processing.

[0024] The audio I / F 19 has a function of generating a predetermined audio signal that can be used for audio alerts and the like.

[0025] The control unit 11, which realizes the main functions of the vehicle-mounted device 10, is composed of electronic circuits mainly including a processor of a microcomputer (CPU). This microcomputer realizes the control functions of the vehicle-mounted device 10, which will be described later, by executing programs stored in advance in the non-volatile memory 26A or the like.

[0026] The input of the control unit 11 (CPU 11) is connected to the above-mentioned interfaces 12A, 12B, 13, 14, 16, and 29. The output of the control unit 11 is connected to a speaker 20 via an audio I / F 19.

[0027] In addition, the beacon receiving unit 15, the recording unit 17, the display unit 27, the power supply unit 25, the communication unit 24, the non-volatile memory 26A, the volatile memory 26B, the card I / F 18, the RTC unit 21, the switch input unit 22, and the GPS receiving unit 9 are connected to the control unit 11.

[0028] The beacon receiving unit 15 receives radio waves from beacons located within a predetermined range via an antenna 15a. The beacons include driver beacons, fixed beacons, and mobile beacons. The driver beacon is, for example, a card-type beacon carried by the driver, and emits a beacon signal including the driver ID. When a driver carrying the driver beacon approaches the in-vehicle device 10 (for example, when they sit in the driver's seat), the control unit 11 automatically recognizes the driver ID and identifies the driver. In other words, when the driver carries the driver beacon that stores their driver ID and gets into the driver's seat, the in-vehicle device 10 recognizes the driver ID, making it possible to manage data for each individual driver without requiring the driver to perform any specific operation.

[0029] Beacons BA, BB, BC, and so on (hereinafter referred to as beacons B) are fixedly placed in predetermined areas RA, RB, RC, and so on (hereinafter referred to as areas R) within the facility (see FIG. 15). Beacons B are used to obtain information indicating the current location of a forklift 90. Each beacon B has unique identification information (beacon ID). Each beacon B emits a beacon signal (radio wave) including the beacon ID at an advertising interval set in a dedicated app. Each area RA shown in FIG. 15 represents the range within which the radio waves of each beacon B can reach, i.e., the detection range within which the reception strength is equal to or greater than a predetermined value. The office PC 30 and server 80 know the correspondence between the identification information of each beacon B and the location within the facility where each beacon B is installed, and can identify the location of the beacon B within the facility from the identification information. In order to grasp information about the current location, the vehicle-mounted device 10 may perform positioning based on a signal received by a GPS receiver 9 (to be described later) in addition to the beacon signal from the beacon B.

[0030] The mobile beacon is a beacon carried by a person other than the driver, and is used to detect when that person approaches the forklift 90. The mobile beacon emits a beacon signal that includes identification information for identifying an individual, such as a driver ID or an operator ID.

[0031] The recording unit 17 is used to automatically record image data of the video output by the cameras 23A and 23B, for example, and hold the data for a certain period of time. The display unit 27 can be used to display visible information such as characters required for operating the vehicle-mounted device 10, and information to alert the driver regarding driving operations, so that the driver can see it.

[0032] The power supply unit 25 generates stable power supply based on power supply supplied from the vehicle side, and supplies the generated power supply to each circuit in the vehicle-mounted device 10 including the control unit 11. The communication unit 24 provides a wireless communication function for data communication between the vehicle-mounted device 10 and the base station 71 .

[0033] The nonvolatile memory 26A is made up of a semiconductor memory, and stores in advance programs that can be executed by the microcomputer of the control unit 11, various constant data required for control, tables, and the like. The volatile memory 26B is used to temporarily store data generated by the control unit 11 during processing.

[0034] A memory card 65 carried by the driver is removably connected to the card I / F 18. The control unit 11 can read data from the memory card 65 attached to the card I / F 18, and can also write various data generated by the control unit 11 to the memory card 65 via the card I / F 18.

[0035] The RTC (real time clock) unit 21 is configured by an integrated circuit having a clock function, that is, the RTC unit 21 can generate information on the current time and grasp elapsed time. The switch input unit 22 is used to input signals representing the states of various switches required for operating the vehicle-mounted device 10 .

[0036] The GPS receiver 9 receives radio waves from multiple GPS (Global Positioning System) satellites via an antenna 9a. Based on the multiple received signals received by the GPS receiver 9, position information indicating the current position of the forklift 90 can be calculated and obtained. In addition, the position information based on the signals received by the GPS receiver 9 can be used to detect the movement of the cargo handling vehicle.

[0037] When the control unit 11 receives radio waves emitted from the beacon B, in other words, when the strength (reception strength) of the radio waves received by the beacon receiving unit 15 is equal to or greater than a predetermined value, the control unit 11 acquires current time information generated by the RTC unit 21. In addition to the strength (reception strength) of the radio waves received by the beacon receiving unit 15, the control unit 11 can also acquire current time information generated by the RTC unit 21 based on the transmission timing (time interval) of the radio wave signal, the signal frequency band, and the power value (transmission power) at the time of transmission. The control unit 11 extracts a beacon ID from radio waves whose reception strength is equal to or greater than a predetermined value, and acquires time information indicating the entry time of the cargo handling vehicle into the area R corresponding to this beacon ID. The time information acquired by the control unit 11 and the extracted beacon ID (hereinafter also referred to as "beacon ID acquisition result") are recorded in a file generated by the in-vehicle device 10 and stored in the recording unit 17. The time information and beacon ID are recorded in this in-vehicle device generated file, for example, at intervals of 0.5 seconds. The vehicle-mounted device generated file includes vehicle data such as vehicle speed based on input signals collected by the vehicle-mounted device 10 from various I / Fs, and trigger information (described later) including video data. As a specific example, the vehicle-mounted device generated file includes information such as the date and time (date, time), the driver ID (crew authentication information), and the start time of work acquired from the vehicle-mounted device 10 or the crew authentication information. The vehicle-mounted device generated file also includes information such as the entry time when the cargo handling vehicle entered the area, the exit time when the cargo handling vehicle exited the area, trigger information, and the remaining charge of the vehicle battery at each time. The vehicle-mounted device generated file recorded in the recording unit 17 is transmitted to the server 80 by the communication unit 24 once a day, for example, after the cargo handling vehicle has finished work. In addition, instead of transmission to the server 80 by the communication unit 24, the vehicle-mounted device generated file recorded in the recording unit 17 may be saved in the memory card 65, read into the office PC 30, for example, once a day, and transmitted from the office PC 30 to the server 80.

[0038] The office PC 30 is a PC that runs on a general-purpose operating system and can be used as a management device for understanding and managing the operating status, including dangerous behavior of cargo handling vehicles, and the operational status. The office PC 30 includes a control unit (CPU) 31, a communication unit 32, a display unit 33, a storage unit , a card I / F 35, an operation unit , an output unit 37, an audio I / F , and an external I / F .

[0039] The control unit 31 comprehensively controls each unit of the office PC 30. The communication unit 32 can communicate with the server 80 via the network 70. The display unit 33 can display various information that can be used for managing the operation of each cargo handling vehicle. The memory unit 34 can acquire and manage on-board device generated files generated by the on-board device 10 installed in each cargo handling vehicle, as well as various analysis results and evaluation results provided by the server 80.

[0040] A memory card 65 is removably attached to the card I / F 35. The card I / F 35 is used to input various data recorded in the vehicle-mounted device 10 from the memory card 65. The operation unit 36 ​​has a keyboard, mouse, etc., and accepts operations by the administrator of the office PC 30. The output unit 37 outputs various data. A microphone 41 and a speaker 42 are connected to the audio I / F 38. The administrator can also make voice calls using the microphone 41 and speaker 42.

[0041] External storage devices (not shown), such as an operation data database (DB) and a hazard map database (DB), can be connected to the external I / F 48. The hazard map DB can store data indicating dangerous behavior (near misses) and locations where accidents have occurred caused by cargo handling vehicles such as forklifts.

[0042] The server 80 has a control unit (CPU) 81, a communication unit 82, and a memory unit 83, and analyzes data collected by the in-vehicle device 10 and included in the in-vehicle device generated file. The communication unit 82 communicates with the in-vehicle device 10 via the base station 71. The communication unit 82 may also communicate with the office PC 30 via the network 70. The memory unit 83 is a memory capable of storing various data and stores the in-vehicle device generated file transmitted from the in-vehicle device 10. The memory unit 83 may also store operation data transmitted from the office PC 30. The control unit 81 comprehensively controls each unit of the server 80. The server 80 receives each in-vehicle device generated file for each loading vehicle transmitted from multiple office PCs 30 via the communication unit 82 and stores the received file in the memory unit 83. The server 80 may also be a so-called cloud server consisting of multiple servers on the Internet.

[0043] The control unit 81 analyzes the behavior of each cargo handling vehicle by analyzing the received on-board device generated file. The on-board device generated file stored in the memory unit 83 includes time information indicating the time when the cargo handling vehicle entered any of the areas R, and the beacon ID of any of the beacons B corresponding to that area R. Based on the on-board device generated file stored in the memory unit 83, the control unit 81 calculates the cargo handling vehicle's movement route and the number of movements from one beacon B to another beacon B from the time series data of the cargo handling vehicle's residence time within the detection range of each beacon B and the beacon ID acquisition results. Details of the analysis results will be described later. Note that due to the characteristics of beacon B, radio wave disturbances may occur, and the beacon ID acquisition result may change at short intervals. Therefore, the number of consecutive acquisitions can be set arbitrarily, and only when the same beacon ID is acquired consecutively based on that setting, it is deemed that the on-board device 10, i.e., the loading / unloading vehicle equipped with the on-board device 10, is present within the detection range of that beacon B.

[0044] The analysis results (various reports, near-miss data, etc.) are stored in the storage unit 83, and are transmitted by the communication unit 82 to each office PC 30 and a communication terminal such as a mobile terminal carried by the manager, etc.

[0045] Furthermore, the control unit 81 of the server 80 generates prediction information regarding battery replacement based on the battery information received from the office PC 30, which indicates the voltage status and operating status of the battery of the forklift 90. This prediction information is stored in the storage unit 83, and is transmitted to the office PC 30 by the communication unit 82.

[0046] With the above configuration, the vehicle-mounted device 10 communicates with multiple beacons B installed within the facility, and collects information such as the safe driving status, work time, number of work tasks, and time within a specific area R. The vehicle-mounted device 10 links this information to information that identifies the driver, collects it as driving record data and video data, and transmits it to the server 80.

[0047] The server 80 receives various information from the vehicle-mounted device 10 and transmits the analysis results, which visualize the behavior of loading and unloading vehicles by person (by driver), i.e., the operating status, together with the video data to the office PC 30 or the manager's mobile terminal (hereinafter also referred to as the office PC 30, etc.). For example, the server 80 calculates the travel time from beacon B to another beacon B and the residence time in the loading and unloading area for each driver, and transmits these to the office PC 30, etc., together with the video data.

[0048] The manager can check the analysis results and video data displayed on the office PC 30, etc., and standardize safe and optimal work times in the specific area R. Therefore, the manager can smooth out the time required for travel and loading / unloading by instructing drivers who are taking longer than the average time to travel or load / unload. In addition, for drivers who are fast but pose safety issues, the manager can provide guidance using video data, etc., and aim to level out the time. In this way, optimal work in the area can be leveled out from the perspectives of both work efficiency and safety. In addition, the calculated number of travels from beacon B to other beacons B, etc., can be used to optimize the layout within the warehouse.

[0049] <Examples of cargo handling vehicles> An example of the appearance of a forklift in operation and the load it carries is shown in Figure 2. In Figure 2, the left side represents the forward direction of the forklift, the right side represents the backward direction, and the direction perpendicular to the paper surface represents the width direction of the forklift (the left-right direction relative to the forward direction of the forklift).

[0050] As shown in FIG. 2, the forklift 90 has a plurality of (two in this embodiment) claws 91 and a backrest 92 that protrude long in front of the driver's seat. The claws 91 and the backrest 92 are supported on the mast 93 in a state in which they can be raised and lowered in the vertical direction along the mast 93. The forklift 90 can drive a predetermined lifting mechanism to move the claws 91 and the backrest 92 up and down. The forklift 90 is also equipped with a drive mechanism that changes the inclination angle of the mast 93 that supports the claws 91 and the backrest 92, thereby adjusting the tilt angles of the claws 91 and the backrest 92. The forklift 90 also has a head guard 94 that covers the upper part of the driver's seat.

[0051] Meanwhile, various cargoes 100 to be transported by a forklift 90 are generally stored while placed on a pallet 110, which is a platform placed on the ground 98. Therefore, when actually transporting the cargo 100, the forklift 90 is moved forward toward the pallet 110 with its claws 91 lowered as shown in FIG. 2, so that the claws 91 pass through the inside of the pallet 110. In this state, when the forklift 90 lifts its claws 91 upward, the cargo 100 placed on the pallet 110 can be lifted together with the pallet 110. Then, by moving the forklift 90 with the cargo 100 and pallet 110 lifted, the cargo 100 and pallet 110 can be transported.

[0052] Incidentally, when operating the forklift 90, the driver is prohibited from performing the double operation of raising and lowering the claws 91 while driving to prevent accidents, and is required to constantly be aware of the state of the claws 91. In addition to recording images in response to normal triggers (sharp turns, sudden deceleration, sudden acceleration), the vehicle-mounted device 10 has the function of detecting this double operation, the presence or absence of a load held by the claws 91, the falling of the load, and the swaying of the load in the width direction of the forklift 90 (hereinafter also simply referred to as "load swaying").

[0053] <Camera installation position and shooting range> FIG. 3 shows a typical example of the relationship between a camera 23A for capturing images of the driver and a camera 23B for capturing images of the forklift 90 and the forklift 90. In FIG.

[0054] In the example shown in FIG. 3, camera 23A built into in-vehicle device 10 is attached to the front of head guard 94, and its imaging direction is adjusted to face in a direction tilted downward by about 45 degrees with respect to the horizontal. That is, the area within imaging range 23a shown in FIG. 3 is the subject of imaging, so camera 23A can capture the driver of forklift 90. Also, in the example shown in FIG. 3, camera 23B is attached to the top of mast 93, and its imaging direction is adjusted to face in a direction tilted downward by about 45 degrees with respect to the horizontal. That is, the area within imaging range 23b shown in FIG. 3 is the subject of imaging, so camera 23B can capture the fork 91 of forklift 90, the pallet 110 being transported, and the cargo 100. It is desirable that imaging range 23b of camera 23B be a wide range, for example, about 120 degrees, so that substantially the entire area of ​​cargo 100 and pallet 110 can be captured simultaneously.

[0055] <Example of operation of the on-board unit> An example of the operation of the vehicle-mounted device 10 shown in Fig. 1 is shown in Fig. 4. The vehicle-mounted device 10 is mounted on the forklift 90 shown in Figs. 2 and 3, and the control unit 11 performs the operation shown in Fig. 4 in conjunction with each functional unit of the vehicle-mounted device 10. The control unit 11 has a function of monitoring the transport status of the cargo and a trigger generation function of generating a trigger for recording information such as an image showing the situation near the forklift 90 when the transport status satisfies a predetermined condition. Fig. 4 shows the operation of recording information showing the operating status of the forklift 90 (presence or absence of cargo) and the situation near the forklift 90 when dangerous behavior (double operation, dropped cargo, swinging cargo) occurs.

[0056] When the driver carrying the driver beacon is authenticated, the vehicle-mounted device 10 starts the operation shown in Fig. 4. The vehicle-mounted device 10 monitors the transportation status of the luggage (the luggage 100 and the pallet 110) based on inputs from the speed I / F 12A, the engine rotation I / F 12B, the external input I / F 13, the sensor input I / F 14, and the camera I / F 16 (step S1). The processing of S1 will be described in detail later.

[0057] The vehicle-mounted device 10 monitors the transportation status until it detects at least one of double operation, the presence or absence of a load, a load falling, and the swaying of a load in the width direction of the forklift 90, and if it detects any of these (YES in S2), it generates a trigger (S3). The vehicle-mounted device 10 temporarily records, as trigger information in the recording unit 17, a trigger type indicating whether the occurred event is double operation, the presence or absence of a load, a load falling, or the swaying of a load, the time the event occurred, and the position information of the forklift 90 (host vehicle) at the time the event occurred. The trigger information may be recorded in the memory card 65 or in the volatile memory 26B.

[0058] Next, the vehicle-mounted device 10 records image (video) data showing the situation near the forklift 90 captured by the camera 23B around the time the event occurred, and vehicle data such as vehicle speed based on input signals from various I / Fs, in association with trigger information (S4). The vehicle data includes operation data, which will be described later. The data recorded in the processes of S3 and S4 may be collectively referred to as trigger information. The trigger information recorded in the processes of S3 and S4 may be transmitted to the server 80 via wireless communication. Also, for example, in a case where the driving situation including image data captured by the cameras 23A and 23B is transmitted to the server 80 in real time, the vehicle-mounted device 10 may transmit only the trigger information recorded in the process of S3 to the server 80. Note that even if the driver does not have a driver beacon, the vehicle-mounted device 10 can start the above-mentioned operation. However, if driver authentication is performed, it becomes possible to record and manage trigger information for each driver.

[0059] <Trigger detection by image analysis> The operation of the vehicle-mounted device 10 for detecting a trigger by image analysis will be described with reference to Figures 5 and 6. Figure 5 shows details of the monitoring process (S1) of the luggage transportation status shown in Figure 4, and shows the operation of the vehicle-mounted device 10 analyzing the image captured by the camera 23B to detect the presence or absence of luggage, the presence or absence of double operation, the falling of luggage, and the shaking of luggage. Figure 6 shows one frame (image 201) of the image captured by the camera 23B.

[0060] The vehicle-mounted device 10 analyzes the travel detection range 201a in the image 201 (S21). As shown in FIG. 6, the travel detection range 201a is set in two regions near the left and right ends at the top of the image 201. The vehicle-mounted device 10 detects whether the forklift 90 is traveling or not based on changes that appear in both of the travel detection ranges 201a in multiple consecutive frames of the image 201. By observing changes in the two travel detection ranges 201a on the left and right, it is possible to prevent erroneous detection due to the inclusion of moving objects in the images, etc. When the vehicle-mounted device 10 detects that the forklift 90 is traveling (Yes in S22), it proceeds to the processing of S23.

[0061] Next, the vehicle-mounted device 10 analyzes the luggage detection ranges 201b-1 to 201b-3 in the image 201 (S23). The luggage detection ranges 201b-1, 201b-2, and 201b-3 are set in a predetermined area in the image 201 that includes at least a part of the hook 91. In the image 201, the luggage detection ranges 201b-1, 201b-2, and 201b-3 are set from the tip side of the hook 91 to the backrest 92 side, respectively. The vehicle-mounted device 10 recognizes a pattern corresponding to luggage (luggage 100 or pallet 110) in each of the luggage detection ranges 201b-1 to 201b-3. Based on the recognition result, the vehicle-mounted device 10 determines whether or not luggage is present on the hook 91, i.e., identifies the presence or absence of luggage. Here, in the image 201, The area occupied by the recognized luggage is referred to as the luggage area. If there is no luggage area in any of the luggage detection ranges 201b-1 to 201b-3 (No in S24), the vehicle-mounted device 10 detects the absence of luggage (S25). If at least a part of the luggage area is present in at least one of the luggage detection ranges 201b-1 to 201b-3, the vehicle-mounted device 10 (Yes in S24), and the presence of luggage is detected (S26).

[0062] If the vehicle-mounted device 10 detects the presence of luggage, it determines whether a portion of the luggage area is missing or whether the position or size of the luggage area has changed (S27). If neither a portion is missing nor a change is detected, the vehicle-mounted device 10 detects double operation, whether the luggage has fallen, and whether the luggage is not shaking (S28). If a portion of the luggage area is missing, the vehicle-mounted device 10 detects whether the luggage has fallen due to a collapse or other reason (S29). If the position or size of the luggage area in the image 201 has changed from that in the previous frame of the image, and if the size has changed (YES in S30), the vehicle-mounted device 10 detects double operation (S31). A change in the size of the luggage area in the image 201 indicates a change in the distance between the camera 23B fixed to the mast 93 and the luggage, so the vehicle-mounted device 10 detects whether the claw 91 has been raised or lowered while the vehicle is traveling, i.e., whether double operation has occurred. On the other hand, if the size of the cargo area on the image 201 does not change, i.e., if the size of the cargo area on the image 201 does not change but the position of the cargo area in the left-right direction of the image 201 (the width direction of the forklift 90) has changed (NO in S30), the vehicle-mounted device 10 proceeds to the process of S32. In S32, since the position of the cargo area in the width direction of the forklift 90 has changed, the vehicle-mounted device 10 detects the swaying of the cargo in the width direction of the forklift 90 (S32). Note that in the process shown in FIG. 5, the vehicle-mounted device 10 detects the presence of a cargo (S26) and then detects the presence of a double operation (S31). However, the vehicle-mounted device 10 may detect the presence of a double operation without detecting the presence or absence of a cargo. For example, if the vehicle-mounted device 10 detects that the forklift 90 is traveling, it detects the area of ​​the claw 91 in the image 201, and if the size of the area of ​​the claw 91 has changed, it can detect the presence or absence of a double operation.

[0063] <Trigger detection by operation signal> 7, the operation of the vehicle-mounted device 10 to detect a trigger (double operation) by an operation signal will be described. The vehicle-mounted device 10 acquires operation signals input from the speed I / F 12A, the engine rotation I / F 12B, the external input I / F 13, and the sensor input I / F 14 (S41). When the vehicle-mounted device 10 detects an operation signal indicating that the forklift 90 is traveling (Yes in S42), the process proceeds to S43.

[0064] If the in-vehicle device 10 does not detect an operation signal indicating raising or lowering of the claw 91 (No in S43), it detects that no double operation has occurred (S44). If the in-vehicle device 10 detects an operation signal indicating raising or lowering of the claw 91 (Yes in S43), it detects that a double operation has occurred (S45). In this way, the in-vehicle device 10 can detect a double operation without performing image analysis.

[0065] As described above, the presence or absence of double operation can be detected by either the image analysis shown in Fig. 5 or the analysis based on the operation signal shown in Fig. 7. Note that, to detect whether the forklift 90 is traveling, analysis based on the signal (GPS signal) received by the GPS receiver 9 can be used instead of the image analysis and analysis based on the operation signal described above. Also, the presence or absence of double operation may be detected by using at least two of the image analysis, analysis based on the operation signal, and analysis based on the GPS signal.

[0066] 5 and 7, when a double operation, the presence or absence of luggage, the dropping of luggage, or the shaking of luggage is detected (S25, S26, S29, S31, S32, S45), a trigger is generated and trigger information is recorded (S3, S4) as shown in Fig. 4. The trigger information is sent to the server 80.

[0067] <Analysis by server> The server 80, which has received the trigger information, stores the trigger information in a database 85. The control unit 81 of the server 80 refers to the database 85 and performs an analysis of the operation of the forklift 90 based on the trigger information of triggers that have occurred within a predetermined period. The analysis by the server 80 is performed based on information stored in the database 85 about the operation of one forklift 90 for one day or multiple days, and / or the operation of multiple forklifts 90 for one day or multiple days. The server 80 makes the analysis results available to the office PC 30 via the network 70 in response to a request from the office PC 30. Examples of the analysis results include instruction manuals, analysis reports, rankings, heat maps, and near-miss maps related to the operation of the forklift 90.

[0068] 8 shows an example of an input screen (screen 202) used by the office PC 30 to request the server 80 to issue a training manual. The screen 202 includes an area 202a for specifying a vehicle, an area 202b for specifying a crew member (driver), areas 202c and 202d for specifying a date and time range, and an operation button 202e for sending the request. The manager requests the server 80 to issue a training manual by specifying the vehicle or crew member and the date and time range and operating the operation button 202e. Note that a manager who desires an analysis other than the training manual can request another analysis, such as an analysis report, by inputting the necessary information in the office PC 30 in the same manner as in the example of FIG. 8 and sending it to the server 80.

[0069] In response to a request, the server 80 creates an instruction manual for safe driving and efficient operation by referring to various information such as trigger information stored in the database 85. The server 80 can create the instruction manual based on information related to image analysis performed by the in-vehicle device 10, driver authentication information obtained by a beacon when the driver boards the vehicle, human approach detection information (approach warning information) obtained by a beacon, input information from the G sensor 28 and the gyro sensor 52, battery management information (described later), and analysis information obtained by operation signals. The server 80 makes the created instruction manual viewable on the office PC 30 via the network 70. The server 80 may also transmit the created instruction manual to the office PC 30 in the form of an email or the like addressed to a manager or the like.

[0070] FIG. 9 is an example screen (screen 203) showing an analysis report on the crew's daily driving status. The server 80 creates the analysis report based on information related to image analysis performed by the in-vehicle device 10, crew authentication information obtained by a beacon when boarding the vehicle, human approach detection information obtained by a beacon, input information from the G sensor 28 and the gyro sensor 52, battery management information (described later), and analysis information obtained by an operation signal. The screen 203 displays the name of the crew, the vehicle number of the forklift 90 driven, driving time, etc., and includes an area 203a showing the driving status and an area 203b showing the details of the dangerous behavior (trigger type). The screen 203 also displays, as driving status, a time 203a1 when a load was detected and a time 203a2 when no load was detected, distinguishing between the time 203a1 when a load was detected and the time 203a2 when a load was not detected, and displays the calculated loading rate. The screen 203 also displays a safety score calculated based on the frequency of dangerous behavior, etc. The screen 203 also displays advice related to safe driving and efficient operation, such as "It would be better to brake gently." The server 80 makes the created analysis report available for viewing on the office PC 30 via the network 70. The server 80 can also create an analysis report for each vehicle. The manager can use the analysis report to give specific advice to the driver for safe driving and efficient operation.

[0071] FIG. 10 shows an example screen displaying an evaluation (driving evaluation) of the driving of the forklift 90. FIG. 10(a) shows an example screen display (screen 204) illustrating the transition of the driving evaluation score of the target driver and the average score of all drivers over a one-month period. FIG. 10(b) shows an example screen display (screen 205) illustrating the driving evaluation score of each driver over a one-month period (days 1 to 5 in the illustrated example) and the driver's ranking among all drivers. The server 80 generates a driving evaluation based on information related to image analysis performed by the vehicle-mounted device 10, driver authentication information obtained by a beacon when boarding the vehicle, human approach detection information obtained by a beacon, input information from the G sensor 28 and the gyro sensor 52, and analysis information obtained by operation signals. The server 80 makes the generated driving evaluation available for viewing on the office PC 30 via the network 70. Managers can use the driving evaluation to provide guidance to drivers, thereby helping to improve their awareness of safe driving.

[0072] FIG. 11 is an example screen (screen 206) showing a near-miss map, which indicates the locations of near-miss incidents that occurred within a period (yearly / monthly, etc.) specified by the administrator. The vehicle-mounted device 10 detects near-miss incidents (dangerous behaviors) such as sudden acceleration, sudden deceleration, and sharp turns, as well as double operation, approaching people, dropped cargo, and cargo swaying. Data related to these events is stored as trigger information in the database 85 of the server 80. The server 80 creates the near-miss incident map based on information related to image analysis performed by the vehicle-mounted device 10, information related to the detection of approaching people by beacons, input information from the G sensor 28 and the gyro sensor 52, and information related to analysis of operation signals. The screen 206 shows the location of fixed beacons 301 on a map of the premises where the forklift 90 operates, and includes marks M1 and M2. The marks M1 and M2 are displayed at locations where near-miss incidents occurred in a manner (e.g., color, shading, shape, etc.) that corresponds to the frequency of occurrence. The server 80 makes the created near-miss map available for viewing on the office PC 30 via the network 70. The near-miss map visualizes the locations and frequency of near-miss behaviors. Therefore, managers can use the near-miss map to identify dangerous locations and take measures to prevent accidents.

[0073] FIG. 12 is an example screen (screen 207) showing a heat map, which indicates the degree of vehicle (forklift 90) congestion for a period (yearly / monthly, etc.) specified by the administrator. The server 80 creates the heat map based on vehicle position information collected by each onboard device 10 installed on multiple forklifts 90. The screen 207 shows the location of fixed beacons 301 on a map of the premises where the forklifts 90 operate, and includes multiple circle marks C1 to C5. The circle marks C1 to C5 are displayed in different ways (e.g., colors, shading, etc.) depending on the degree of vehicle congestion (very high, high, normal, comfortable, almost empty, etc.). The size of the circle marks C1 to C5 roughly indicates the area where vehicles are congested. The server 80 makes the created heat map available for viewing on the office PC 30 via the network 70. The heat map visually indicates areas where vehicles (forklifts 90) are operating frequently / slightly. This allows managers to use heat maps to improve the layout of their premises and manage forklift routes.

[0074] <Battery management> Battery management will be described with reference to FIGS. 13 and 14. The vehicle-mounted device 10 monitors the operating status (operating time) of the forklift 90 and the output (voltage status) of the battery voltmeter 53, and transmits this information (battery information) to the server 80. The server 80 stores the received battery information in a database 85. The server 80 can transmit battery information (voltage status) of one or more forklifts 90 to the office PC 30 to notify the office PC 30 of a drop in battery voltage. FIG. 13 shows an example screen (screen 208) showing the battery voltage values ​​of the forklifts 90. The screen 208 shows the battery voltage values ​​of multiple forklifts 90, and highlights vehicles whose voltage values ​​are below a specified value. The server 80 determines, for example, whether the power consumption is below a specified value based on the operating time and battery voltage, and if it determines that the power consumption is below a specified value, highlights the vehicle 208a. This encourages the administrator to perform appropriate battery management. Therefore, appropriate battery management helps extend battery life and reduce the number of battery replacements.

[0075] Furthermore, the server 80 generates prediction information regarding the timing of battery replacement based on the battery information of the multiple forklifts 90 stored in the database 85, and makes the information available for viewing on the office PC 30. FIG. 14 is an example screen (screen 209) showing the results of a study on battery replacement for multiple forklifts 90. The screen 209 includes an area 209a showing the vehicle number, an area 209b showing the operating time (operating status), and an area 209c showing voltage drop (voltage value dropped due to operation). The screen 209 also includes an area 209d showing electricity consumption (electricity consumption rate, mileage per kWh), and an area 209e showing replacement prediction (prediction information, period until battery replacement is predicted to be necessary). On the screen 209, vehicles whose electricity consumption is below a specified value are highlighted 209f.

[0076] Server 80 outputs information on the predicted battery replacement timing based on the voltage status and operating status. This allows the administrator to efficiently manage batteries, for example, by improving the timing and frequency of charging. In addition, the service provider who operates server 80 can use the battery information stored in database 85 to propose new management methods for more efficient battery use.

[0077] As described above, the in-vehicle device 10, server 80, and cargo handling vehicle management system 1 of this embodiment enable recording triggered by an event specific to a cargo handling vehicle such as a forklift 90. For example, when detecting a double operation of raising and lowering the claws 91 while the forklift 90 is traveling, the presence or absence of cargo, the falling of cargo, or the shaking of cargo, a trigger is generated and images showing the situation near the forklift 90 can be recorded. This allows the manager to easily grasp the dangerous behavior and operating status of the forklift 90. This enables safe driving support and efficient operation support. Furthermore, battery management based on the operating time and battery voltage of the forklift 90 is possible, which helps extend battery life and reduce the number of battery replacements through appropriate battery management.

[0078] Furthermore, according to this embodiment, by accumulating and analyzing information collected from the on-board units 10 of multiple customers who operate forklifts, the service provider who operates the server 80 can provide more specialized advice and suggestions regarding safe driving and efficient operation.

[0079] <Analysis of cargo handling vehicle behavior using fixed beacons> Next, behavior analysis of the forklift 90 using fixed beacons will be described with reference to Figures 15 to 27. The following includes a description of a cargo handling vehicle management method in the cargo handling vehicle management system 1. This cargo handling vehicle management method is executed by programs pre-installed in the vehicle-mounted device 10, the server 80, the office PC 30, etc.

[0080] FIG. 15 is a diagram showing an example of installation of fixed beacons in a warehouse. The warehouse shown in FIG. 15 has a plurality of unloading and loading areas 101 where trucks park and unload and load cargo, and a temporary storage area 102 adjacent to the unloading and loading area 101. The temporary storage area 102 is a place for temporarily storing cargo unloaded from trucks parked at the unloading and loading area 101. A storage area 103 adjacent to the temporary storage area 102 is provided in the warehouse. The storage area 103 includes a plurality of areas RB, RC, RD, RE, RF, and RG, and cargo placed in the temporary storage area 102 is placed in one of the areas RB, RC, RD, RE, RF, and RG determined according to the cargo's delivery destination, etc. Beacons BA, BB, BC, BD, BE, BF, and BG, which cover each area R, are fixedly installed in each of the areas RA, RB, RC, RD, RE, RF, and RG. Each area R may be provided with a predetermined shelf, or luggage may be placed on the floor.

[0081] When a forklift 90 traveling within a warehouse enters area RA, the vehicle-mounted device 10 mounted on the forklift 90 receives radio waves emitted from beacon BA and acquires the time at which the radio waves were received as time information. The vehicle-mounted device 10 also extracts the beacon ID of beacon BA from the received radio waves and records the time information and the beacon ID in an vehicle-mounted device generation file. While the forklift 90 is within area RA, the vehicle-mounted device 10 receives radio waves including the beacon ID from beacon BA and records the time information indicating the time at which the radio waves were received in an vehicle-mounted device generation file. If the vehicle-mounted device 10 is unable to receive radio waves from beacon BA, i.e., if the radio wave reception strength is below a predetermined value, the vehicle-mounted device 10 records information indicating this time as the exit time at which the forklift 90 exited area RA in the vehicle-mounted device generation file. Similarly, the time at which the forklift 90 exited area RA and entered area RB is recorded in the vehicle-mounted device generation file.

[0082] In this way, the in-vehicle device generated file records the beacon ID acquisition results as time-series data, and is transmitted from the in-vehicle device 10 to the server 80 after the forklift 90 has finished its work, for example, after the end of the day's work. The server 80 accumulates the in-vehicle device generated files received from the multiple in-vehicle devices 10 in a database 85 and uses them for behavior analysis of the forklift 90. The in-vehicle device 10 may transmit the in-vehicle device generated files to the server 80 in real time.

[0083] Next, referring to Fig. 16, a series of steps (PDCA cycle) will be described in which the server 80 analyzes and evaluates the on-board device generated file acquired and generated by the on-board device 10, the service provider proposes improvements based on the evaluation results, and the service is resumed in the improved state. Fig. 16 is a diagram for explaining an example of the PDCA cycle in the cargo handling vehicle management system 1.

[0084] First, the server 80 acquires operational data of the forklift 90 within the warehouse using the vehicle-mounted device 10 and the beacon B (process "C" in FIG. 16). The operational data includes the number of times and times of entry and exit into a specific area R, the time spent in the specific area, the number of right and left turns or the number of times the forklift 90 switched back and forth between areas, driver information (work characteristics) based on the driver ID, a trigger list indicating the driver's safe driving status, and the presence or absence of cargo. The number of right and left turns refers to the number of times the steering wheel was switched left and right. The operational data also includes video data of the area around the forklift 90. The server 80 also obtains data indicating external factors such as weather, day of the week, season, time of day, type of cargo to be loaded and unloaded, the work plan for the day (work congestion status), and the presence and content of unexpected work.

[0085] Next, the server 80 analyzes the work efficiency and safe driving of the forklift 90 based on the data acquired through cooperation between the vehicle-mounted device 10 and the beacon B (process "A" shown in FIG. 16). The server 80 analyzes the acquired data, stores the analysis results in a database 85, and outputs them to the office PC 30 or the like. Based on the data acquired by the multiple vehicle-mounted devices 10, the server 80 outputs analysis results that indicate, for example, the work time and travel time for each driver and the number of times each driver enters and exits a specific area.

[0086] The server 80 calculates location information within the warehouse from the beacon ID. The server 80 calculates the stay time, work time, or travel time from the entry time and exit time of the forklift 90 into a specified area. The server 80 calculates the number of times the forklift 90 entered and exited each area from the entry time and exit time of the forklift 90 into each area. The server 80 calculates the operating time from the time of the operation data or crew authentication information acquired by the vehicle-mounted device 10, and associates it with information indicating which driver or which forklift 90. The server 80 calculates the number of right / left turns or forward / backward turns from the trigger information of the vehicle-mounted device 10, and associates it with information indicating which driver or which forklift 90. The server 80 calculates the near-miss occurrence situation, i.e., the location and number of near-misses, from the trigger information of the vehicle-mounted device 10, and associates it with information indicating which driver or which forklift 90.

[0087] The manager checks the analysis results displayed on the office PC 30 or the like, considers indicators of work efficiency and safe driving, and sets standard work hours.

[0088] The data acquired by the server 80 can be used to check work time in a specific area R within the warehouse and to investigate the time spent there and safe driving conditions. For example, a manager can determine that a specific driver, even if working quickly, is dangerous because of their reckless driving. The data acquired by the server 80 can also be used to check the number of stops at each area R and to investigate the efficiency of package pickup locations. For example, a manager can determine whether many pickup locations are far away, resulting in inefficiency. Furthermore, the data acquired by the server 80 can be used to identify near-miss areas within the warehouse based on driving conditions and to investigate potential dangers within the warehouse. For example, if there are a high number of near-misses, a manager can determine that there are dangerous areas within the warehouse and consider changing the layout.

[0089] Next, the manager or service provider makes an improvement proposal based on the analysis results by the server 80 (processing "P" shown in FIG. 16). The manager or service provider sets work procedures and changes to the storage locations of luggage at the temporary storage site 102 based on the standard work time, and makes a proposal to level out the work.

[0090] Thereafter, the work is carried out again in a state improved in accordance with the improvement proposal (process "D" shown in FIG. 16). For example, in a new layout in which the cargo storage location 103 has been changed from area RG to area RC, work is carried out using the forklift 90 in accordance with the defined standard work. At this time, the server 80 acquires various data during the work (process "C" shown in FIG. 16), verifies it (process "A" shown in FIG. 16), and repeats the PDCA cycle, which is a series of processes.

[0091] From the second time onwards of the PDCA cycle, the target values ​​for the work efficiency and safe driving indicators are updated and set. Therefore, the server 80 can further improve the work efficiency and safety in the cargo handling vehicle management system 1.

[0092] 17 is a diagram showing an example of how data stored in the database 85 of the server 80 is used. The server 80 uses the data stored in the database 85 to aggregate and process data in accordance with each package, such as the standard package, custom package, external consulting package, and real-time package, or provides the data to a collaborating consulting company. The standard package includes a data set set in advance by the service provider, and includes, for example, data aggregated and processed by vehicle, driver, area (beacon), etc., as well as visualized data of this data. The visualized data included in the standard package includes, for example, a graph showing the number of visits (times) by beacon B, travel time (minutes) by driver from area RD to RA, and work time (minutes) by driver at the temporary storage area 102. The custom package includes various data customized according to the customer's requests and visualized data.

[0093] 18 to 21 are graphs showing the results of analyzing the data acquired by the server 80.

[0094] FIG. 18 shows near-miss information for each of beacons BA, BB, BC, and BD. The near-miss information includes the number of times the forklift 90 made a sharp turn, accelerated suddenly, and decelerated suddenly. By combining the near-miss information obtained from the in-vehicle device 10 with the information obtained from beacon B, it becomes possible to visualize areas where near-misses frequently occur and investigate the causes of their frequent occurrence. This improves safety.

[0095] FIG. 19 shows the travel time (minutes) for each driver from area RB where beacon BD is installed in storage location 103 to temporary storage area 102, i.e., area RA where beacon BA is installed. FIG. 19 shows the travel time and average travel time for each driver for the first to fifth trips, as well as the overall average. By understanding the travel time and number of trips from area RB where beacon BD is installed to temporary storage area 102, the manager can change the layout of the luggage storage area within the warehouse or, for example, level out the work of drivers with the overall average as a target value. This can improve work efficiency.

[0096] FIG. 20 shows the working time (minutes) for each driver at the temporary storage area 102. The time spent by the in-vehicle device 10 at the temporary storage area 102, which is the area RA where the beacon BA is installed, is considered to be the working time at the temporary storage area 102. By understanding the working time at the temporary storage area (loading, unloading, etc.), the manager can visualize the working time and provide guidance to the drivers to level out the working time. This can improve the efficiency of work.

[0097] Figure 21 shows travel time between specific areas for each driver. The graph in Figure 21 shows, from left to right, the travel time for each driver on the route from area A to area B, the route from area A to area C, the route from area A to area D, the route from area A to area E, and the route from area A to area F. This graph makes it possible to grasp the variation in travel time for each route, as well as the minimum, maximum, and average values, which can be useful in leveling out the work of drivers.

[0098] FIG. 22 is a diagram showing the occurrence of near misses within a warehouse. The server 80 calculates the areas within the warehouse where each beacon B is installed based on data acquired from the vehicle-mounted device 10, and outputs a map of the warehouse in which marks M11, M12, and M13 are superimposed on locations where near misses occurred. The size of the circles for marks M11, M12, and M13 indicates the frequency of near misses, and the color of the circles indicates the type of near miss (sudden acceleration, sudden deceleration, sharp turns, approaching people, etc.). Mark M13 has a cross inside a circle, indicating that sudden acceleration is occurring frequently, as shown in graph G, and that this is an area requiring caution. The diagram in FIG. 22 makes it easy to intuitively grasp the occurrence of near misses.

[0099] As described with reference to FIGS. 18 to 22, the server 80 visualizes the occurrence of near misses, the travel time of the forklift 90 between areas, and the time spent by the forklift 90 in the specific area (temporary storage area 102). This allows the service provider to understand the current operational status of the customer. Furthermore, the customer can improve safety and further streamline operations by providing driver education based on the visualized data. Furthermore, the server 80 can calculate the number of visits (entries and exits) of the forklift 90 to the specific area by aggregating the entry and exit times of the beacons installed in the specific area, which are included in the vehicle-mounted device generation file. For example, if the areas are located adjacent to each other, the server 80 may calculate the number of times the forklift 90 has entered and exited the specific area by aggregating only the entry times into the areas. As a specific example, if entry into area B is detected after entry into area A, i.e., if the vehicle-mounted device 10 receives radio waves from a beacon installed in area B, the server 80 determines that the vehicle-mounted device 10 has left area A and entered area B, and tallyes the number of entries and exits.

[0100] 23 and 24 are diagrams showing the results of evaluation of work efficiency and safety by the server 80. FIG.

[0101] FIG. 23 shows the analysis results and evaluation results for the first to fourth weeks when the above-mentioned PDCA cycle was performed multiple times as a driving evaluation of the driver (operator). The analysis results AC1, AC2, AC3, and AC4 (hereinafter referred to as analysis results AC) shown in Figure 23 are graphs that visualize the number of entries and exits (times), length of stay (minutes), and number of trigger records (times) at beacon B for each driver in weeks 1 to 4 of the PDCA cycle. The target values ​​for the number of entries and exits, number of trigger records, and length of stay shown in each analysis result AC are set by the administrator. Analysis results AC allow you to understand the number of entries and exits, number of trigger records, and length of stay for each driver while comparing them with the target values. The evaluation results EC1, EC2, EC3, and EC4 shown in Figure 23 (hereinafter referred to as evaluation results EC) are evaluation results obtained by comparing each analysis result with a target value. For each evaluation result EC, evaluation points are added if the number of entries and exits is lower than the target value and subtracted if it is higher; if the number of trigger records is lower than the target value and subtracted if it is higher; and if the staying time is shorter than the target value and subtracted if it is longer. Each evaluation result EC evaluates the driver's work efficiency and safety on a rank of A to C based on the aggregated results of adding and / or subtracting evaluation points for the number of entries and exits, the number of trigger records, and the staying time.

[0102] The evaluation result EC1 for the first week of the PDCA cycle has a score of -3, which means it is inefficient and unsafe, and is ranked C. The evaluation result EC2 for the second week of the PDCA cycle has a score of -1, which means it is inefficient but safe, and is ranked B. The evaluation result EC3 for the third week of the PDCA cycle has a score of 0, which means it is efficient but unsafe, and is ranked B. The evaluation result EC4 for the fourth week of the PDCA cycle has a score of +3, which means it is efficient and safe, and is ranked A.

[0103] As shown in FIG. 23, by evaluating the driver's work efficiency and safety from the acquired data using a ranking system of A to C, it is possible to improve both efficiency and safety.

[0104] Fig. 24 shows the analysis and evaluation results for the first to fourth weeks when the PDCA cycle described above was performed multiple times to evaluate the efficiency and safety of the layout. Fig. 24 shows an example where area A, where beacon A is installed, is used as a temporary storage area in a warehouse. The analysis results ACa1, ACa2, ACa3, and ACa4 (hereinafter referred to as analysis results ACa) shown in FIG. 24 are graphs that visualize the travel time (minutes), the number of right and left turns (times), and the number of trigger records (times) for each of multiple routes in the first to fourth weeks of the PDCA cycle. The multiple routes are the route from beacon A to beacon B, the route from beacon A to beacon F, and the route from beacon A to beacon G. The target values ​​for the travel time, the number of right and left turns, and the number of trigger records shown in each analysis result ACa are set by the administrator. According to the analysis result ACa, the travel time, the number of right and left turns, and the number of trigger records for each route can be understood while comparing them with the target values. The evaluation results ECa1, ECa2, ECa3, and ECa4 (hereinafter referred to as evaluation results ECa) shown in FIG. 24 are evaluation results obtained by comparing each analysis result with a target value. For each evaluation result ECa, evaluation points are added if the travel time is longer than the target value and subtracted if it is shorter; points are added if the number of right and left turns is fewer than the target value and subtracted if it is more; and points are added if the number of trigger records is fewer than the target value and subtracted if it is more. For each evaluation result ECa, the work efficiency and safety of the layout are ranked A to C based on the aggregated results of adding and / or subtracting evaluation points for the travel time, the number of right and left turns, and the number of trigger records.

[0105] The evaluation result ECa1 for the first week of the PDCA cycle has a score of -3, which means it is inefficient and unsafe, and is ranked C. The evaluation result EC2a for the second week of the PDCA cycle has a score of 0, which means it is inefficient but safe, and is ranked B. The evaluation result EC3a for the third week of the PDCA cycle has a score of 0, which means it is efficient but unsafe, and is ranked B. The evaluation result EC4a for the fourth week of the PDCA cycle has a score of +3, which means it is efficient and safe, and is ranked A. As shown in FIG. 24, by evaluating the work efficiency and safety of the layout from the acquired data using ranks A to C, it is possible to improve both efficiency and safety.

[0106] Note that the target values ​​may be updated from the second week onwards in the PDCA cycle. For example, the manager may set new target values ​​based on the analysis and evaluation results of the first week of the PDCA cycle, and update the target values ​​for the second week, thereby achieving further improvements in efficiency and safety. In addition, evaluation points and ranks can be set appropriately for the evaluation method.

[0107] 25 to 27 show other examples of visualization by the server 80. FIG.

[0108] 25 is a graph that visualizes the operation status of each forklift 90 by distinguishing whether or not there is cargo. The graph in FIG. 25 can be used to help manage the operation of the forklift 90.

[0109] FIG. 26 is a graph visualizing the safety of road surfaces within a warehouse. Based on trigger information, FIG. 26 visualizes whether the acceleration g values ​​in the X, Y, and Z directions, as well as the rotational angular velocity around the yaw axis, exceed or fall below thresholds GX1, GX2, GY1, GY2, GZ1, GZ2, YA1, and YA2. Locations where the thresholds are exceeded or fallen below, i.e., locations where the acceleration or rotational angular velocity is high, indicate damaged road surfaces. The server 80 identifies locations within the warehouse where the acceleration or rotational angular velocity is high in the graph of FIG. 26 based on the driver ID, beacon acquisition data (time information and beacon ID), and the correspondence between the beacon ID and the beacon installation location within the warehouse. In this way, the graph of FIG. 26 can be used to help plan maintenance within the warehouse.

[0110] Fig. 27 is a graph that visualizes the battery voltage values. From the graph in Fig. 27, it is easy to understand whether the voltage of the batteries BT1 and BT2 of each forklift 90 has exceeded the upper and lower thresholds V1 and V2 and approached the maximum or minimum value. Therefore, by providing guidance to drivers whose voltage values ​​during work exceed the thresholds V1 and V2 to bring the voltage between the thresholds V2 and V1, it is possible to extend the life of the batteries.

[0111] The present invention is not limited to the above-described embodiment, and modifications, improvements, etc. are possible as appropriate. Furthermore, the material, shape, dimensions, numerical values, configuration, number, location, etc. of each component in the above-described embodiment are arbitrary and not limited as long as they can achieve the present invention. In the above-described embodiment, an example was shown in which the server 80 analyzed the behavior of the forklift 90 and evaluated the analysis results, but some or all of the processing performed by the server 80 may be performed by the office PC 30, etc.

[0112] In addition, for example, the vehicle-mounted device 10 can detect changes in the driver's physical condition by analyzing images of the driver while riding the forklift and notify the driver of any abnormalities, which is useful for managing the driver's health in freezing, refrigerating, high-temperature environments, etc.

[0113] Furthermore, the service provider may provide the analyzed and acquired data to external specialists, such as a site layout improvement consultant or a healthcare consultant. Collaboration between the service provider and external specialists makes it possible to provide high-value-added services to customers.

[0114] Here, the features of the cargo handling vehicle management system, server, cargo handling vehicle management method, and program according to the above-described embodiment of the present invention will be briefly summarized and listed below in [1] to

[10] . [1] A cargo handling vehicle management system (1) comprising an on-board device (10) mounted on a cargo handling vehicle (forklift 90) and a server (80) that analyzes data collected by the on-board device, The vehicle-mounted device (10) a receiving unit (beacon receiving unit 15) that receives radio waves including identification information (beacon ID) of a transmitter (beacon B) installed in a predetermined area (R) within the facility; a time acquisition unit (RTC unit 21, CPU 11) that acquires time information indicating the entry time of the cargo handling vehicle into the predetermined area based on the intensity of the received radio wave; an extraction unit (CPU 11) that extracts the identification information from the received radio wave; a recording unit (17) that records the acquired time information and the extracted identification information, The server (80) an analysis unit (CPU 81) that analyzes the behavior of the cargo handling vehicle based on the time information and the identification information recorded by the recording unit; and an output unit (communication unit 82) that outputs the analyzed results. Loading vehicle management system. [2] The analysis unit calculates the number of times the cargo handling vehicle has entered the specified area from the entry time, The output unit outputs the identification information (beacon ID) of the transmitter and the number of entries in association with each other. The cargo handling vehicle management system described in [1] above. [3] The time acquisition unit of the on-board device further acquires time information indicating the exit time at which the cargo handling vehicle exits the specified area based on the intensity of the received radio wave, The analysis unit of the server calculates a stay time during which the cargo handling vehicle stayed in the predetermined area from the entry time and the exit time, The output unit of the server outputs the staying time in the predetermined area as the analyzed result. The cargo handling vehicle management system according to [1] or [2] above. [4] The server further includes an evaluation unit that evaluates the behavior of the cargo handling vehicle by comparing a target value with the analysis result by the analysis unit. The cargo handling vehicle management system according to any one of [1] to [3] above. [5] The predetermined area includes a first area and a second area, the on-board device generates a trigger when a dangerous behavior occurs in the cargo handling vehicle, records information including an image showing a situation in the vicinity of the cargo handling vehicle and vehicle data of the cargo handling vehicle as trigger information, and transmits the trigger information to the server; The server receiving the trigger information; the analysis unit analyzes, taking into account the trigger information, a travel time taken for the cargo handling vehicle to move from the first area to the second area as the behavior of the cargo handling vehicle; the evaluation unit evaluates efficiency and safety of a layout within the facility based on the analysis result. The cargo handling vehicle management system described in [4] above. [6] The on-board device generates a trigger when a dangerous behavior occurs in the cargo handling vehicle, records information including an image showing the situation in the vicinity of the cargo handling vehicle and vehicle data of the cargo handling vehicle as trigger information, and transmits the trigger information to the server. The receiving unit receives radio waves including identification information (driver beacon ID) of the driver, the radio waves being emitted from a beacon (driver beacon) carried by the driver of the cargo handling vehicle, The server receiving the trigger information; the analysis unit analyzes the stay time of the cargo handling vehicle in the predetermined area, which is calculated for each driver, taking into account the trigger information, as the behavior of the cargo handling vehicle; the evaluation unit evaluates the work efficiency and safety of the driver based on the analysis result. The cargo handling vehicle management system described in [4] above. [7] The server performs a series of processes including the analysis by the analysis unit and the evaluation by the evaluation unit two or more times, and updates the target value from the second time onwards. The cargo handling vehicle management system according to any one of [4] to [6] above. [8] A server (80) that analyzes data collected by an on-board device (10) mounted on a cargo handling vehicle (forklift 90), The vehicle-mounted device Recording time information indicating the entry time of the cargo handling vehicle into a predetermined area (R) within the facility and identification information of a transmitter (beacon B) installed in the predetermined area (R); The server an analysis unit (CPU 81) that analyzes the behavior of the cargo handling vehicle based on the time information and the identification information acquired from the on-board device; and a communication unit (82) that transmits the analyzed results to a communication terminal. Server(80). [9] A cargo handling vehicle management method in a cargo handling vehicle management system (1) including an on-board device (10) mounted on a cargo handling vehicle (forklift 90) and a server (80) that analyzes data collected by the on-board device, The beacon receiving unit 15 receives radio waves including identification information (beacon ID) of a transmitter (beacon B) installed in a predetermined area (R) within the facility, Based on the strength of the received radio wave, time information indicating the entry time of the cargo handling vehicle into the predetermined area is acquired (RTC unit 21, CPU 11); Extracting the identification information from the received radio wave (CPU 11); Analyzing the behavior of the cargo handling vehicle based on the acquired time information and the extracted identification information; Output the parsed results, Loading vehicle management methods.

[10] A program for causing a computer to execute the cargo handling vehicle management method described in [9] above. [Explanation of symbols]

[0115] 1. Analysis system 10 Onboard equipment 11, 31, 81 Control unit (CPU) 15 Beacon receiver 17 Recording Section 23A, 23B Camera 24, 32, 82 Communications Department 25 Power supply section 26A non-volatile memory 26B Volatile Memory 28 G sensor 30 Office PC 51 Vehicle speed sensor 52 Gyro sensor 53 Battery voltmeter 65 memory cards 71 Base station 80 servers 85 databases 90 Forklift 91 Nails 92 Backrest 93 Mast 94 Head Guard 100 luggage 101 Unloading and loading area 102 Temporary storage area 103 Storage Location 110 pallets 301 Fixed Beacon B, BA, BB, BC, BD, BE, BE, BF, BG Beacon R, RA, RB, RC, RD, RE, RE, RF, RG Area

Claims

1. A cargo handling vehicle management system including an on-board device mounted on a cargo handling vehicle and a server that analyzes data collected by the on-board device, The vehicle-mounted device a receiving unit that receives radio waves including identification information of a transmitter that is installed in a predetermined area within the facility; a time acquisition unit that acquires time information indicating the entry time of the cargo handling vehicle into the predetermined area based on the intensity of the received radio wave; an extractor that extracts the identification information from the received radio wave; a recording unit that records the acquired time information and the extracted identification information, The server an analysis unit that analyzes the behavior of the cargo handling vehicle based on the time information and the identification information recorded by the recording unit; an output unit that outputs the analyzed results, The server further includes an evaluation unit that evaluates the behavior of the cargo handling vehicle by comparing a target value with an analysis result by the analysis unit. Loading vehicle management system.

2. The analysis unit calculates the number of times that the cargo handling vehicle has entered the predetermined area from the entry time, The output unit outputs the identification information of the transmitter and the number of entries in association with each other. The cargo handling vehicle management system according to claim 1 .

3. The time acquisition unit of the on-board device further acquires time information indicating an exit time at which the cargo handling vehicle exits the specified area based on the intensity of the received radio wave, The analysis unit of the server calculates a stay time during which the cargo handling vehicle stayed in the predetermined area from the entry time and the exit time, The output unit of the server outputs the staying time in the predetermined area as the analyzed result. The cargo handling vehicle management system according to claim 1 or 2.

4. the on-board device generates a trigger when a dangerous behavior occurs in the cargo handling vehicle, records information including an image showing a situation in the vicinity of the cargo handling vehicle and vehicle data of the cargo handling vehicle as trigger information, and transmits the trigger information to the server; The server receiving the trigger information; The analysis unit calculates the location and the number of times the dangerous behavior occurred based on the trigger information, the evaluation unit evaluates efficiency and safety of a layout within the facility based on the location and number of times the dangerous behavior occurred. The cargo handling vehicle management system according to claim 1 .

5. the on-board device generates a trigger when a dangerous behavior occurs in the cargo handling vehicle, records information including an image showing a situation in the vicinity of the cargo handling vehicle and vehicle data of the cargo handling vehicle as trigger information, and transmits the trigger information to the server; the receiving unit receives radio waves including identification information of the driver, the radio waves being emitted from a beacon carried by the driver of the cargo handling vehicle; The server receiving the trigger information; The analysis unit calculates the stay time of the cargo handling vehicle in the predetermined area, which is determined for each driver, the evaluation unit evaluates the work efficiency and safety of the driver based on the trigger information and the staying time. The cargo handling vehicle management system according to claim 1 .

6. The server performs a series of processes including the analysis by the analysis unit and the evaluation by the evaluation unit, Perform this two or more times, and update the target value from the second time onwards. The cargo handling vehicle management system according to claim 1 .

7. A server that analyzes data collected by an on-board device mounted on a cargo handling vehicle, The vehicle-mounted device recording time information indicating the time when the cargo handling vehicle entered a predetermined area within the facility and identification information of a transmitter installed in the predetermined area; The server an analysis unit that analyzes the behavior of the cargo handling vehicle based on the time information and the identification information acquired from the on-board device; a communication unit that transmits the analyzed results to a communication terminal; an evaluation unit that evaluates the behavior of the cargo handling vehicle by comparing a target value with the analysis result by the analysis unit; server.

8. A cargo handling vehicle management method in a cargo handling vehicle management system including an on-board device mounted on a cargo handling vehicle and a server that analyzes data collected by the on-board device, receiving radio waves containing identification information of a transmitter that is emitted from a transmitter installed in a predetermined area within the facility; acquiring time information indicating the entry time of the cargo handling vehicle into the predetermined area based on the intensity of the received radio wave; extracting the identification information from the received radio wave; Analyzing the behavior of the cargo handling vehicle based on the acquired time information and the extracted identification information; Transmitting the analyzed results to the communication terminal, evaluating the behavior of the cargo handling vehicle by comparing the target value with the analysis result of the behavior of the cargo handling vehicle; Loading vehicle management methods.

9. A program for causing a computer to execute the cargo handling vehicle management method according to claim 8.

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