Report providing method and method for controlling report providing system

Abstract

Promotes efficient loading rates. [Solution] A report providing method for providing a report regarding a mobile object to which a sensor is attached, wherein the report includes loading rate information regarding the loading rate of the mobile object calculated based on data regarding the mobile object detected by the sensor and the maximum loading capacity of the mobile object, and the report providing method includes a step of acquiring the report including the loading rate information, and a step of displaying or printing the report on a medium.

Description

[Technical Field]

[0001] The present disclosure relates to a report providing method and a method for controlling a report providing system. [Background technology]

[0002] The traffic management device described in Patent Document 1 outputs a daily report for shippers that shows the truck's travel route and the driver's work time for each task (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-59913 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the conventional technology described above, since information on the loading rate is not displayed, it may not be possible to encourage the driver or the transportation company to improve the efficiency of the loading rate. [Means for solving the problem]

[0005] One aspect of the present invention to solve the above problem is a report providing method for providing a report regarding a mobile object to which a sensor is attached, wherein the report includes data regarding the mobile object detected by the sensor and loading rate information regarding the loading rate of the mobile object calculated based on the maximum loading capacity of the mobile object, and the computer performs the steps of acquiring the report including the loading rate information and displaying or printing the report on a medium.

[0006] In order to solve the above problem, one aspect is a control method for a report providing system comprising a sensor attached to a mobile body, a report generation unit that generates a report based on data detected by the sensor, and a report output unit that outputs the report generated by the report generation unit, the control method for the report providing system comprising the steps of: causing the sensor to acquire data regarding the mobile body; causing the sensor to transmit the acquired data to the report generation unit; causing the report generation unit to acquire the maximum load capacity of the mobile body; causing the report generation unit to calculate the loading rate of the mobile body based on the data and the maximum load capacity; causing the report generation unit to generate the report including loading rate information regarding the calculated loading rate of the mobile body; causing the report generation unit to transmit the generated report to the report output unit; and causing the report output unit to display or print the report on a medium. [Brief explanation of the drawings]

[0007] [Figure 1] 1 is a diagram illustrating an example of the configuration of a report providing system according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of the configuration of a server device according to the embodiment. [Figure 3] FIG. 2 is a diagram illustrating an example of a situation when a moving object according to an embodiment is moving. [Figure 4] 5A and 5B are diagrams illustrating an example of the temperature and magnitude of an impact measured during movement of a moving body according to an embodiment. [Figure 5] FIG. 10 is a diagram illustrating another example of a situation when the moving body according to the embodiment is moving. [Figure 6] 10A and 10B are diagrams showing other examples of temperatures and magnitudes of impacts measured during movement of a moving body according to an embodiment. [Figure 7] FIG. 10 is a diagram illustrating an example of a report according to the embodiment. [Figure 8] FIG. 2 is a diagram illustrating an example of a procedure of a process performed in the report providing system according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0008] Hereinafter, embodiments will be described with reference to the drawings.

[0009] FIG. 1 is a diagram showing an example of the configuration of a report providing system 1 according to an embodiment. The report providing system 1 includes a measuring device 11, a server device 12, a first information processing device A1, and a printing device A2. The first information processing device A1 includes a first report output unit C1. The printing device A2 is equipped with a second report output unit C2.

[0010] FIG. 1 also shows a mobile unit 51, a base station device D1, and a network 81. The network 81 may be, for example, the Internet. In the example of FIG. 1, a management unit B1 including a server device 12, a first information processing device A1, and a printing device A2 is also shown.

[0011] Here, in this embodiment, the case where the measuring device 11 and the server device 12 communicate via the base station device D1 and the network 81 is shown, but for example, if the measuring device 11 and the server device 12 communicate without going through the base station device D1 and the network 81, the report providing system 1 does not need to be equipped with the base station device D1 and the network 81. The measuring device 11 and the server device 12 may communicate with each other via a relay device (not shown) together with the base station device D1 or instead of the base station device D1. Furthermore, the communication may be, for example, wireless communication, wired communication, or both.

[0012] Furthermore, in this embodiment, the first information processing device A1 and the printing device A2 that can communicate with the server device 12 are provided, but the first information processing device A1 and the printing device A2 do not necessarily have to be provided. In the example of FIG. 1, if the report providing system 1 does not include the first information processing device A1 and the printing device A2, the management unit B1 will be substantially equivalent to the server device 12. The server device 12 may include at least one of the functions of the first information processing device A1 and the functions of the printing device A2. Furthermore, in this embodiment, the first information processing device A1 and the printing device A2 are separate entities, but for example, they may be configured as an integrated device.

[0013] In this embodiment, the moving body 51 is a vehicle, specifically a truck, and generally includes a chassis 61 and a bed 62. Here, for example, the loading platform 62 is detachable from the chassis 61 of the moving body 51. In this embodiment, the moving body 51 transports luggage loaded on the loading platform 62 with the loading platform 62 attached to the chassis 61.

[0014] The measuring device 11 is installed on a moving body 51 . In this embodiment, the measuring device 11 is provided by being attached to the chassis 61 of the moving body 51, but as another example, it may be provided by being attached to the loading platform 62 of the moving body 51. The cargo bed 62 on top of the truck may be, for example, a flatbed, a refrigerator / freezer, a crane, a van, a dump truck, or may be called by any other name.

[0015] The measuring device 11 includes one or more sensors that detect a predetermined physical quantity. Here, the measuring device 11 may be equipped with any sensor, for example, two or more sensors. The measuring device may be called, for example, a measuring instrument. For example, if the measuring device is equivalent to one sensor, the measuring device may be called a sensor. For example, if the measuring device has two or more sensors, the measuring device may be called a sensor unit. Furthermore, when the measuring device 11 includes multiple sensors, for example, these multiple sensors may be configured as an integrated device, or one or more of these multiple sensors may be configured as separate devices. Measurement may also be referred to as measurement, detection, or sensing, for example. Furthermore, the values ​​measured by the measuring device 11 may be called, for example, measured values, detected values, or actual measured values.

[0016] In this embodiment, the measurement device 11 detects acceleration information, gyro information, and position information. The measuring device 11 transmits the detected information to the server device 12 . Here, the acceleration information may be detected using, for example, an acceleration sensor. In this embodiment, the impact value may be calculated based on the acceleration information. Furthermore, the gyro information may be detected using a gyro sensor, for example.

[0017] Furthermore, the location information may be detected using a Global Navigation Satellite System (GNSS) sensor, for example. As a specific example, the measurement device 11 includes a GNSS receiver, which is a sensor. The GNSS receiver receives GNSS signals using a GNSS antenna and acquires location information based on the received GNSS signals. Here, the GNSS signals are transmitted from one or more GNSS satellites. As the GNSS, for example, one or more of GPS (Global Positioning System), GLONASS, Galileo, BeiDou, etc. may be used.

[0018] In this embodiment, the measuring device 11 is provided with a temperature sensor that detects the temperature of the loading platform 62. Here, in this embodiment, for the sake of simplicity, the temperature sensor will be described as being included in the measuring device 11, but as another example, the temperature sensor may be regarded as a sensor separate from the sensors included in the measuring device 11. Note that when the temperature sensor is regarded as being included in the measuring device 11, it may be provided at a different location on the moving body 51, separate from the other sensors of the measuring device 11.

[0019] In this embodiment, the measuring device 11 is provided with a sound sensor on or near the loading platform 62 for detecting sound. Here, in this embodiment, for the sake of simplicity, the sound sensor will be described as being included in the measuring device 11, but as another example, the sound sensor may be regarded as a sensor separate from the sensors included in the measuring device 11. Note that when the sound sensor is regarded as being included in the measuring device 11, it may be provided at a different location on the mobile object 51, separate from the other sensors of the measuring device 11. Also, sound includes voice. Furthermore, a microphone, for example, may be used as the sound sensor.

[0020] In this embodiment, the mobile object 51 is equipped with a predetermined on-board device as an example of a sensor. The on-board device has a function of automatically detecting and storing information on highway tolls, for example. The on-board device also has a function of communicating with an external network to transmit the information. The on-board device may be considered not to be included in the measuring device 11, or may be considered to be included in the measuring device 11. Furthermore, when the on-board device is considered to be included in the measuring device 11, it may be provided at a different location on the moving body 51, separate from the other sensors of the measuring device 11.

[0021] As another example of a sensor, the mobile body 51 may use a camera that captures images of the inside of the loading platform 62. The camera may be provided, for example, inside the loading platform 62 or outside near the loading platform 62. The camera may, for example, capture still images or video. The camera may be, for example, a visible light camera or an infrared camera. Based on the image capture results of the camera, it may be determined, for example, whether or not luggage is loaded on the loading platform 62, or the amount of luggage loaded in the loading platform 62, the capacity of the loading platform 62, etc. When such a camera is used, the camera may be considered not to be included in the measurement device 11, or may be considered to be included in the measurement device 11. Furthermore, when the camera is considered to be included in the measurement device 11, the camera may be provided at a different location on the mobile body 51, separate from other sensors of the measurement device 11.

[0022] As another example of a sensor, the mobile body 51 may use a laser device that detects objects in the loading platform 62. The laser device may be provided, for example, inside the loading platform 62 or externally near the loading platform 62. The laser device irradiates the interior of the loading platform 62 with laser light and detects the reflected light. Based on the reflected light, it may be determined, for example, whether or not luggage is loaded on the loading platform 62, or the amount of luggage loaded in the loading platform 62, the capacity of the loading platform 62, etc. The laser device may emit laser light in one direction, or may emit laser light in each of multiple directions. Typically, the more directions the laser light is emitted in, the higher the accuracy of object detection. When such a laser device is used, the laser device may be considered not to be included in the measuring device 11, or may be considered to be included in the measuring device 11. Furthermore, when the laser device is considered to be included in the measuring device 11, it may be provided at a different location on the mobile body 51, separate from the other sensors of the measuring device 11.

[0023] As an example of another sensor, the moving body 51 may be provided with an IMU sensor, for example, an inertial measurement unit (IMU). The IMU sensor may measure, for example, acceleration and angular velocity.

[0024] The server device 12, the first information processing device A1, and the printing device A2 may each be operated by a predetermined operator or the like. Here, the person operating the server device 12, the person operating the first information processing device A1, and the person operating the printing device A2 may, for example, all be different persons, or only some may be the same person, or all may be the same person.

[0025] The first information processing device A1 and the server device 12 communicate with each other via wired or wireless communication. In this embodiment, the first information processing device A1 and the server device 12 are directly connected to each other, but as another example, they may be connected to each other via a predetermined base station device and a network. The printer A2 and the server device 12 communicate with each other via wired or wireless communication. In this embodiment, the printer A2 and the server device 12 are directly connected, but as another example, they may be connected via a predetermined base station device and a network.

[0026] For convenience of explanation, the present embodiment will be described using one mobile object 51 as an example, but the report providing system 1 according to the present embodiment may be applied to a plurality of mobile objects, in which case the same processing as in the present embodiment is performed for each of the mobile objects. In addition, in this case, information on each of the plurality of mobile objects may be stored.

[0027] For example, when the report providing system 1 according to the present embodiment is applied to multiple moving bodies, data on the measurement results from the measuring device of each moving body is managed for each moving body. That is, the data on the measurement results from the measuring device of each moving body is associated with one or more of the identification information of each moving body, the identification information of the chassis of each moving body, the identification information of the loading platform of each moving body, the identification information of the measuring device of each moving body, or the identification information of an individual sensor of the measuring device of each moving body, and is then stored, communicated, etc.

[0028] Furthermore, in this embodiment, when a measurement device of a single mobile body has multiple sensors, the measurement result data of these multiple sensors is managed so as to be identifiable as measurement result data of the same measurement device. As a specific example, the measurement result data of the multiple sensors of a measurement device of a single mobile body may always be stored and communicated as a single group, or when the measurement result data of the multiple sensors of a measurement device of a single mobile body is handled separately, the measurement result data of each sensor may be linked to the identification information of the measurement device to which the sensor belongs. The linking may also be called, for example, correspondence or association.

[0029] FIG. 2 is a diagram showing an example of the configuration of the server device 12 according to the embodiment. In this embodiment, the server device 12 is configured using a computer. The server device 12 includes an input unit 111 , an output unit 112 , a communication unit 113 , a storage unit 114 , and a control unit 115 . The output unit 112 includes a report output unit 132 . The control unit 115 includes a report generation unit 131 .

[0030] The input unit 111 may have a function of inputting information output from an external device (not shown), for example. When the functions of the first information processing device A1 are incorporated into the server device 12, the input unit 111 may have a function for inputting instructions and the like based on operations performed by an operator (not shown), for example.

[0031] The output unit 112 may have a function of outputting information to an external device (not shown), for example. The report output unit 132 outputs information of a predetermined report to an external device, which may be, for example, one or both of the first information processing device A1 and the printing device A2. As another example, the external device may be a display screen. The display screen may be included in, for example, the server device 12. That is, the server device 12 may output the report information by the report output unit 132 in its own device.

[0032] When the functions of the first information processing device A1 are incorporated into the server device 12, the output unit 112 may have a function to display and output information to be displayed on a display screen (not shown), for example. When the functions of the printing device A2 are incorporated into the server device 12, the output unit 112 may have a function to print out information to be printed on a medium (not shown), for example.

[0033] The communication unit 113 has a function of performing communication. In this embodiment, the communication unit 113 communicates with the measuring device 11 via the network 81 and the base station device D1. In this embodiment, the communication unit 113 is shown separately from the input unit 111 and the output unit 112, but for example, the function of the receiving unit among the functions of the communication unit 113 may be included in the function of the input unit 111, and the function of the transmitting unit among the functions of the communication unit 113 may be included in the function of the output unit 112.

[0034] The storage unit 114 stores information. In addition, the server device 12 may be configured to use an external database (not shown) instead of or in addition to the memory unit 114, and to perform at least one of storing information in the database and retrieving information from the database.

[0035] The control unit 115 performs various processes and controls in the server device 12. In this embodiment, the control unit 115 includes a predetermined processor such as a CPU (Central Processing Unit), and performs various types of processing or control by executing a control program using the processor. The control program may be stored in the storage unit 114, for example.

[0036] The report generation unit 131 acquires data necessary for processing. The report generation unit 131 acquires, for example, data stored in the storage unit 114, data received by the communication unit 113, or data input by the input unit 111. The report generation unit 131 generates information for a predetermined report based on the acquired data. Instead of data, it may be called information or the like.

[0037] Here, the report generating unit 131 may refer to and use predetermined delivery information when generating the report, for example. The delivery information includes, for example, information regarding the manner in which a driver drives a mobile unit 51 to deliver cargo, and may include, as specific examples, one or more of the following: information about the driver, delivery route, delivery base, items of cargo to be delivered, product names of cargo to be delivered, delivery time schedule, information about the mobile unit 51 driven by the driver, information about the measuring device 11 installed on the mobile unit 51, etc. The delivery information may be called, for example, transportation information.

[0038] The information regarding the vehicle 51 driven by the driver may include, for example, one or more of identification information of the vehicle 51, identification information of the chassis 61, identification information of the loading platform 62, information on the maximum load capacity of the loading platform 62, etc. For example, the same identification information may be used as the identification information of the moving body 51 and the identification information of the chassis 61. The information related to the measuring device 11 may include, for example, one or more of identification information of the measuring device 11, identification information of the sensor possessed by the measuring device 11, characteristic information of the sensor possessed by the measuring device 11, and the like.

[0039] The delivery information may be stored in advance in the storage unit 114 of the server device 12, or may be input from the first information processing device A1 to the server device 12 at any timing. As an example, the delivery information may be input to the first information processing device A1 by an operator or the like operating the first information processing device A1, and may be notified to the server device 12 from the first information processing device A1.

[0040] In this embodiment, the first information processing device A1 is a terminal used by a driver or a transportation company, and in this case, the driver or the transportation company is an example of an operator. The first information processing device A1 is configured using, for example, a computer. The first information processing device A1 has a function of accessing the server device 12 and communicating with the server device 12, a function of receiving and inputting information on reports sent and output from the server device 12, and a function of outputting the information on the reports by a first report output unit C1. Note that the report information may be output, for example, by displaying it on a screen.

[0041] The printing device A2 is configured using, for example, a printing mechanism and a computer. The printing device A2 has functions such as communicating with the server device 12, receiving and inputting report information sent and output from the server device 12, and printing out the report information using the second report output unit C2.

[0042] The process of determining the loading rate of the mobile object 51 by the report generating unit 131 of the server device 12 will be described. In this embodiment, the server device 12 evaluates the loading rate of the moving object 51 based on the information acquired by the measuring device 11.

[0043] The loading rate of the moving body 51 is expressed as [{(weight of luggage loaded on the moving body) / (maximum weight that can be loaded on the moving body)}×100]. Here, the maximum weight that can be loaded onto the moving body 51 corresponds to the maximum load capacity of the moving body 51, which corresponds to the maximum load capacity of the loading platform 62 of the moving body 51 in this embodiment. The higher the loading rate, the easier it is for the transport company to make a profit. For this reason, for example, the server device 12 can notify the transport company of the loading rate, and the transport company can review the loading rate, which can contribute to the business.

[0044] In this embodiment, the report generating unit 131 of the server device 12 stores a machine learning learning model for determining the loading rate of the mobile object 51.

[0045] As an example, a learning model for determining the loading ratio may be created by the following steps P1 to P5. In step P1, the measuring device 11 acquires predetermined measurement data while the moving object 51 is traveling. When the moving object 51 is carrying a load, the moving object 51 is in transit. Here, the measurement data is information that can be used to obtain information on the moving speed and the direction and magnitude of vibration caused by acceleration, based on, for example, acceleration information, gyro information, and position information.

[0046] In step P2, the measuring device 11 transmits the measurement data to the server device 12. The server device 12 receives the measurement data.

[0047] In step P3, the driver of the mobile object 51 or a transportation company operates the first information processing device A1, and the first information processing device A1 acquires loading rate information, which is information about the size of the mobile object 51 and the loading rate of the mobile object 51. In this embodiment, the size of the moving body 51 is determined by the maximum load capacity of the moving body 51. Here, the driver or transportation company of the mobile body 51 may, for example, input the size and loading rate of the mobile body 51 into the first information processing device A1, or may specify the size and loading rate of the relevant mobile body 51 from multiple options prepared in advance.

[0048] In step P4, the first information processing device A1 transmits the acquired information on the size of the moving object 51 and the loading rate of the moving object 51 to the server device 12.

[0049] In step P5, the report generating unit 131 of the server device 12 acquires information about the size of the moving object 51 and the loading rate of the moving object 51 from the first information processing device A1. In addition, the report generation unit 131 of the server device 12 links the acquired measurement data with the acquired information regarding the size of the mobile body 51 and the loading rate of the mobile body 51 and stores it in the memory unit 114 to generate training data for machine learning. A learning model is created by learning using the training data. The created learning model becomes a trained model.

[0050] As an example, training data may be generated that can output results classified into multiple levels of vehicle load weight, such as vehicle load weight 0[%], vehicle load weight 20[%], vehicle load weight 40[%], vehicle load weight 60[%], vehicle load weight 80[%], or vehicle load weight 100[%]. As another example, if it is sufficient to determine whether or not the moving body 51 is loaded with luggage, the training data may be generated based only on information as to whether or not the vehicle load weight is 0[%]. In these examples, the vehicle load weight represents the weight of the cargo loaded on the vehicle, and the loading rate is expressed as a percentage.

[0051] In this embodiment, the loading ratio is determined using a trained model, which is a trained model. The input data to the trained model is waveform data, which is measurement data from the sensor of the measuring device 11, and the size of the moving object 51. The output data from the trained model includes information on the loading rate of the mobile object 51. This mobile object 51 is a mobile object that has been driven by the corresponding driver or a mobile object that is currently being driven by the corresponding driver. Here, the information on the loading rate of the mobile body 51 included in the output data from the trained model may be, for example, information on the value of the loading rate itself, or information indicating which of multiple ranges the value of the loading rate belongs to. The output data from the trained model is a value that the trained model outputs based on the input data.

[0052] In this embodiment, a change in the loading rate appears as a change in the measurement data of one or more sensors that the measurement device 11 has. For example, the weight of a vehicle is generally expressed as a function having parameters such as the vertical acceleration of the vehicle, the speed of the vehicle, and the spring constant of the vehicle. Here, for example, if the weight of the vehicle other than the weight of the luggage loaded on the vehicle can be considered constant, the weight of the vehicle will change depending on the weight of the luggage.

[0053] In addition, in this embodiment, information indicating the likelihood of the load factor determination result may be output from the trained model along with the load factor determination result. As information indicating the reliability of the load ratio determination result, for example, information based on the matching rate between the waveform data input to the trained model and the trained waveform data may be used. Here, as another example, information indicating the likelihood of the load factor determination result may be obtained by calculation, etc., using a predetermined program other than the trained model.

[0054] Note that various forms may be used as input data and output data for the machine learning trained model. In addition, in this embodiment, a machine learning learning model is used to determine the loading rate of the mobile body 51 from measurement data, but any method may be used to determine the loading rate, and machine learning does not necessarily have to be used.

[0055] FIG. 3 is a diagram showing an example of a situation when a moving object 51 according to the embodiment is moving. FIG. 3 shows a first map M1. The first map M1 shows a first base G1 to a fourth base G4, which are multiple bases, and a first route R1, which is the path traveled by the mobile object 51. The first route R1 is an example of a transportation route. Also shown are positions 1-1 H1 to 1-4 H4, which are positions on the first route R1 and through which the moving object 51 has passed. In this example, the moving object 51 moves along the first route R1 in the direction from the 1-1 position H1 to the 1-4 position H4. In the example of FIG. 3, the 1-1 position H1 to the 1-4 position H4 are each indicated by a numerical value representing the respective position, but this is not limited to this example.

[0056] In this embodiment, each base represents a base for transporting luggage by the mobile object 51. Such a base may be set in advance by, for example, a transportation company that transports the luggage. Furthermore, when there are a plurality of bases, some of the bases that the mobile object 51 should pass through on the transportation route may be set according to the transportation route of the mobile object 51 on each occasion. Transportation may also be referred to as, for example, transport or delivery.

[0057] FIG. 4 is a diagram showing an example of the temperature and magnitude of the impact measured when the moving body 51 according to the embodiment is moving. The example in FIG. 4 corresponds to the movement of the moving object 51 shown in FIG.

[0058] 4, the horizontal axis represents time, the left vertical axis represents temperature [°C], and the right vertical axis represents the magnitude of impact [G]. In this example, the magnitude of impact is represented by a G value, but other units may be used. FIG. 4 shows a first characteristic 1011, which is a characteristic of the measured temperature, and a second characteristic 1021, which is a characteristic of the measured magnitude of the impact. The first characteristic 1011 is information obtained by fitting time-discrete measurement values ​​with a predetermined line. Second characteristic 1021 is information that is discrete in time.

[0059] In the example of FIGS. 3 and 4, the temperature and the magnitude of the impact measured by the measuring device 11 of the moving body 51 on the first route R1 were normal. Whether the temperature is normal or abnormal may be determined, for example, by determining that the temperature is normal when it is less than a predetermined value and determining that the temperature is abnormal when it exceeds the predetermined value. Here, when the temperature is at the predetermined value, it may be included in the normal range or the abnormal range, for example. Similarly, whether the magnitude of the impact is normal or abnormal may be determined, for example, by determining that the magnitude of the impact is normal when it is less than a predetermined value and determining that the magnitude of the impact is abnormal when it exceeds the predetermined value. Here, when the magnitude of the impact is the predetermined value, it may be included in the normal range or the abnormal range, for example.

[0060] FIG. 5 is a diagram showing another example of a situation when the moving object 51 according to the embodiment is moving. A second map M2 is shown in Figure 5. In this example, the second map M2 displays the same area as the first map M1 shown in Figure 3. The second map M2 shows a plurality of bases, a first base G1 to a fourth base G4, and a second route R2, which is the route traveled by the mobile object 51. In this example, for ease of explanation, the first base G1 to the fourth base G4 are the same bases as those shown in Fig. 3. Also, in this example, for ease of explanation, the second route R2 is the same as the first route R1 shown in Fig. 3. Also shown are positions 2-1 position I1 to 2-4 position I4, which are positions on the second route R2 and through which the moving object 51 has passed. In this example, the moving object 51 moves along the second route R2 in the direction from the 2-1 position I1 to the 2-4 position I4. In the example of FIG. 5, the 2-1 position I1 to the 2-4 position I4 are each indicated by a numerical value representing the respective position, but this is not limited to this example.

[0061] FIG. 6 is a diagram showing another example of the temperature and the magnitude of the impact measured during the movement of the moving body 51 according to the embodiment. The example in FIG. 6 corresponds to the movement of the moving object 51 shown in FIG.

[0062] 6, the horizontal axis represents time, the left vertical axis represents temperature [°C], and the right vertical axis represents the magnitude of impact [G]. In this example, the magnitude of impact is represented by a G value, but other units may be used. FIG. 6 shows a third characteristic 1111, which is a characteristic of the measured temperature, and a fourth characteristic 1121, which is a characteristic of the measured magnitude of the impact. The third characteristic 1111 is information obtained by fitting time-discrete measurement values ​​with a predetermined line. The fourth characteristic 1121 is information that is discrete in time.

[0063] In the example of FIGS. 5 and 6, an abnormality occurs in the magnitude of the impact measured by the measuring device 11 of the moving body 51 on the second route R2. 5 and 6, the magnitude of the impact on the moving object 51 at the 2-3 position I3 at the first time t1 is an abnormal value. Here, in this example, if the magnitude of the impact exceeds a predetermined value, it is determined to be abnormal.

[0064] FIG. 7 is a diagram showing an example of a report W according to the embodiment. In this example, the report W has a plurality of information areas, ie, a first information area W1 to a tenth information area W10. In this example, the inside of the entire rectangular area of ​​the report W is divided into a first information area W1 to a tenth information area W10.

[0065] In this example, an operator logs in to a predetermined system owned by the first information processing device A1, and the report W provided by the system is output. This output may be, for example, displayed on the screen of the first information processing device A1, or may be printed on a medium by the printing device A2. The medium may be, for example, paper. In this example, the given system may be a system that provides daily reports on trips made by drivers.

[0066] The first information area W1 is an area for storing information on the driver's name, which is the name of the driver. Here, the driver name information is automatically entered when logging in to a specific system, for example. As the driver name, the name of the driver for whom the daily report is to be output is entered. The driver's name may be manually input into the first information processing device A1 by, for example, an operator. The operator who operates the first information processing device A1 may be a driver or a transportation company.

[0067] The second information area W2 is an area for storing information on the chassis No. that indicates the chassis number. Here, as the chassis number, for example, the identification number of the chassis is input. The chassis number is an example of identification information for the chassis 61.

[0068] The third information area W3 is an area for storing information on the product name. As the item name information, the item name information of the luggage transported by the driver is entered. Here, for example, the third information area W3 may store information about the item along with information about the item name. As another example, the third information area W3 may be used as an area for storing information about the item instead of the item name. Note that, for example, the item information may not be displayed in the report W, and the item information may be obtained by the report generation unit 131 or the like. Examples of items include precision machinery, frozen goods, refrigerated goods, and living things. In this example, the quality control standards for the ninth information region W9 differ depending on the item. The product name and item name may be automatically input in the report providing system 1 based on, for example, delivery information, or may be input manually.

[0069] The fourth information area W4 is an area for storing date information. Here, as the date, for example, the date on which the transportation was carried out is input.

[0070] The fifth information area W5 is an area for storing information on the loading rate [%]. Here, the fifth information area W5 stores information about a graph in which the horizontal axis represents time and the vertical axis represents the loading rate. The horizontal axis represents the passage of time. In the example of Figure 7, the graph shows the loading rate determined using a predetermined trained model in chronological order. The graph shows four locations, namely, an eleventh location G11 to a fourteenth location G14. Here, whether the mobile object 51 is located at each of the eleventh location G11 to the fourteenth location G14 is determined based on the location information of the mobile object 51. In the example of FIG. 7, changes in loading ratios at each of the eleventh base station G11 to the fourteenth base station G14 are shown.

[0071] By looking at the information in the graph, a viewer such as an operator can confirm, for example, the loading rate at which the vehicle 51 driven by the driver carried out transportation. In the example of Fig. 7, the loading rate is 90[%] between 9:00 and 10:00, 50[%] between 10:00 and 16:00, and 80[%] between 16:00 and 17:00. In the example of Fig. 7, the loading rate is particularly low between 10:00 and 16:00. For example, drivers or transport companies can improve the efficiency of transport by considering ways to improve loading rates. Furthermore, as shown in the example of Fig. 7, information on the loading rate may be displayed in association with a preset base based on location information acquired by a sensor. In this case, it is possible to display how the loading rate has changed with respect to the base.

[0072] The sixth information area W6 is an area for storing information on speed [km / h] and information on work. Here, the sixth information area W6 stores information about a graph in which the horizontal axis represents time and the vertical axis represents speed. The horizontal axis represents the passage of time. In the example of FIG. 7, the information of the graph is information showing the speed of the moving object 51 in time series, which is acquired based on measurement data from the sensor.

[0073] The sixth information area W6 stores information specifying the type of work, such as loading, unloading, rest, and waiting. In the example of FIG. 7, the type information is information in which the types of work are displayed in chronological order.

[0074] In this example, the work is information that shows, in chronological order, the results of determination based on speed information and loading rate information. For example, the loading rate is 0% between 8:30 and 9:00, but becomes 90% after 9:00. From this, the report generation unit 131 determines that loading took place between 8:30 and 9:00. Furthermore, the loading rate drops from 90% to 50% after 10:00. From this, the report generation unit 131 determines that unloading was performed when the mobile object 51 was stopped around 10:00, and indicates the time when the mobile object 51 was stopped as the time of unloading. In this example, when the speed of the moving body is 0 [km / hour], the moving body 51 is considered to be at a standstill. Between 10:00 and 16:00, the moving object 51 is stopped, but the loading ratio does not change before or after that. From this, the report generating unit 131 determines that the driver is taking a break at this time, and indicates that time as a rest period.

[0075] In addition, there are cases where both unloading and loading operations are performed at one base station. In this case, the report generation unit 131 can determine whether both operations are being performed based on how the waveform data applied to the sensor has changed. That is, when unloading or loading is performed, people carry luggage while getting on and off the loading platform 62, and the sensor detects impacts due to people getting on and off. For example, when unloading is performed, the loading platform 62 gradually becomes lighter, so the impact on the sensor is likely to be greater when unloading is completed than when unloading begins. Conversely, when loading is performed, the loading platform 62 gradually becomes heavier, so the impact on the sensor is likely to be smaller when loading is completed than when loading begins. By utilizing this characteristic, the report generation unit 131 can indicate that both unloading and loading operations have been performed when both waveform data in which the impact on the sensor gradually increases and waveform data in which the impact on the sensor gradually decreases are detected.

[0076] In the example of FIG. 7, in the report W, a fifth information area W5 for storing loading rate information and a sixth information area W6 for storing speed information are arranged adjacent to each other in the vertical direction. In the example of Figure 7, the time positions on the horizontal axis of the loading rate information and the speed information are different from each other, but as another example, the time positions on the horizontal axis of both information may be aligned to match, which makes it easier to visually understand the correspondence. Furthermore, in the example of FIG. 7, the fifth information area W5 is arranged on the upper side and the sixth information area W6 is arranged on the lower side, but in another example, the upper and lower arrangements of these areas may be reversed. Furthermore, the positional relationship between the fifth information region W5 and the sixth information region W6 does not necessarily have to be a vertical relationship, but may be any other relationship, such as a horizontal relationship.

[0077] The seventh information area W7 is an area for storing information on the likelihood of the evaluation. This information is an item that indicates the likelihood of the loading ratio evaluation in the fifth information area W5. In this example, the higher the matching rate between the acquired waveform data and the learned waveform data, the better the likelihood of the loading rate evaluation; conversely, the lower the matching rate, the worse the likelihood of the loading rate evaluation.

[0078] The eighth information area W8 is an area for storing information on man-hours. Here, the eighth information area W8 stores the required time for each type of work, such as operating time, rest, loading, unloading, waiting, and other work, as the type of man-hours. In this example, the man-hours indicate the total time of the work evaluated by the speed and work in the sixth information area W6. In the example of FIG. 7, the unit [H] represents time [hour].

[0079] The ninth information area W9 is an area for storing information on quality items. Here, the ninth information area W9 stores the required time for each type of quality item, such as speed, impact, temperature, and stress. In this example, the quality item is an item that evaluates the quality of transportation based on the item in the third information area W3, the loading rate evaluation in the fifth information area W5, and the speed and work in the sixth information area W6.

[0080] A case where the quality item is speed will be described. In this example, the quality item of speed is an item for evaluating whether the driving speed complies with a standard, which may vary depending on, for example, the load factor. As a specific example, when the loading rate is high, the loading platform 62 is more likely to receive an impact than when the loading rate is low. Therefore, when the loading rate is high, it is necessary to drive the mobile object 51 at a slower speed to ensure safe driving than when the loading rate is low. Therefore, the maximum speed that serves as the evaluation standard when the loading rate is high is slower than the maximum speed that serves as the evaluation standard when the loading rate is low. For example, when the actual speed exceeds this maximum speed, it is evaluated as low, and when it is equal to or lower than this maximum speed, it is evaluated as high. The maximum speed may be called, for example, MAX speed.

[0081] A case where the quality item is impact will be described. In this example, an evaluation is made to see if an impact such as sudden braking has been applied to the loading platform 62, and if an impact has been applied, a low evaluation is given. In this embodiment, the method for acquiring the impact value may be, for example, a method for acquiring the impact value based on measurement data from an acceleration sensor. In this method, for example, the magnitude of acceleration is divided by a predetermined value to acquire the result as the impact value. The predetermined value is 9.81 [m / (second) 2 ].

[0082] The report generating unit 131 may, for example, record the impact value in association with the position of the moving object 51, and present information indicating which transportation route has a problem. The report generating unit 131 determines that the situation is good when no large impact value is applied, for example, as in the examples of FIGS. On the other hand, the report generating unit 131 determines that the situation is bad if a large impact value occurs even once, as in the examples of Figures 5 and 6. In this case, the report generating unit 131 may notify, for example, the location where such a large impact value occurred and the magnitude of the impact. The position may be referred to as the point where a large impact value occurs. Furthermore, whether or not the value of the impact is large may be determined, for example, when the value of the impact exceeds a predetermined value.

[0083] A case where the quality item is temperature will be described. In this example, whether temperature control is being performed correctly is evaluated using a temperature sensor attached to the loading platform 62 of the mobile object 51. The main subject of this evaluation is when the item in the third information area W3 is a refrigerated item or a frozen item.

[0084] Note that when the loading rate is high, the inside of the loading platform 62 is more difficult to cool than when the loading rate is low, because there is more luggage. For this reason, the temperature set when the loading rate is high may be set lower than the temperature set when the loading rate is low. In this regard, the report generation unit 131, for example, determines a low evaluation when the temperature setting is not based on the loading rate, and conversely, determines a high evaluation when the temperature setting is based on the loading rate.

[0085] In addition to the loading rate, the evaluation may also take into consideration, for example, the outside temperature, the number of times the door is opened and closed, and the open time. The outside air temperature may be detected by a temperature sensor. The temperature sensor may be included in the sensor of the measurement device 11. The outside air temperature and the like may be determined from information obtained by the temperature sensor.

[0086] Furthermore, based on location information acquired by a sensor, the server device 12 may determine the outside temperature and the like based on weather information related to that location. The number of times the door is opened and closed and the time it is open may be detected, for example, by the acceleration of a sensor and the movement of a gyroscope. The more times the door is opened and closed, the higher the temperature of the loading platform 62 is considered to be. Also, when the door of the loading platform 62 is open, the temperature of the loading platform 62 rises. In this way, the temperature may be evaluated indirectly from information other than the temperature.

[0087] A case where the quality item is stress will be explained. The main subject of stress evaluation is when the item in the third information area W3 is a living thing. Unlike other cargo, if the loading rate of living creatures is too high, it can actually cause stress to the living creatures. For this reason, when transporting living creatures by mobile object 51, it is preferable to set the loading rate lower than that of other cargo, for example, to 50%. In this case, the report generation unit 131 determines a low rating if the loading rate exceeds this standard, and determines a high rating if the loading rate is within this standard.

[0088] Furthermore, a sound detection device may be attached to the loading platform 62, and evaluation may be performed based on the frequency and volume of sounds made by the animals during transportation. For example, if the frequency of cries of a living creature is high or if the cries of a living creature are loud, the report generating unit 131 may estimate and evaluate that the living creature is under stress. Furthermore, for example, the report generating unit 131 may determine stress on the living thing from the temperature, speed, and impact during operation. The voice detection device may be, for example, a sound sensor.

[0089] The tenth information area W10 is an area for storing other information. Here, the tenth information area W10 stores other types of information, such as the expressway tolls for transportation and the cost of gasoline, and the required time for each type. In this example, the other information is information relating to the cost of shipping.

[0090] Expressway tolls are toll road fees. The information on the expressway toll may reflect, for example, information manually input by the driver or the like, or may reflect information automatically acquired from a predetermined device mounted on the mobile object 51. The predetermined device is, for example, an on-board device compatible with an Electronic Toll Collection System (ETC). As an example, the information on the expressway toll may be manually input into the first information processing device A1 by a driver or the like, and may be notified to the server device 12 from the first information processing device A1. As another example, information about the highway usage fee may be notified to server device 12 from a predetermined device installed in mobile object 51 via a predetermined base station device and network. The predetermined base station device and network may be, for example, base station device D1 and network 81, or may be another base station device and network.

[0091] The gasoline cost is the cost of gasoline that the mobile object 51 refueled at a gas station during exercise. The gasoline cost information may reflect, for example, information manually entered by the driver, or may reflect information automatically obtained from gasoline purchase and sale records using a specified credit card. As an example, the information on the gasoline cost may be manually input to the first information processing device A1 by the driver or the like, and may be notified to the server device 12 from the first information processing device A1. The price of refueling at gas stations varies depending on the region, which also affects profits, so by listing this as an item, transportation companies can use it as a reference when considering further efficiency improvements.

[0092] FIG. 8 is a diagram showing an example of a procedure of processing performed in the report providing system 1 according to the embodiment. In the example of FIG. 8, the process steps from step S1 to step S8 are shown. The processing flow shown in FIG. 8 is an example, and other processing flows may be used.

[0093] In step S1, in the report providing system 1, predetermined data is measured by the measuring device 11 while the mobile object 51 is transporting the luggage. The measured data is stored in the server device 12.

[0094] In this embodiment, the measuring device 11 having the sensor is attached to the chassis 61 of the moving body 51. The server device 12 stores the identification number of the sensor in the storage unit 114 in association with the identification number of the chassis 61 on which the measuring device 11 is attached. Such linking information may be input to the first information processing device A1 by an operation of an operator or the like, and then input to the server device 12 via the first information processing device A1. Also, for example, instead of the identification information of the individual sensors, the identification information of the measuring device 11 may be used. The identification information may be called an ID or the like.

[0095] The measuring device 11 acquires, for example, acceleration data, gyro data, and position data from the respective sensors at any time. The intervals at which each piece of data is acquired may be any interval, such as every second, every minute, or any other interval. The measuring device 11 stores the acquired data in an internal memory of the measuring device 11, and then transmits the acquired data to the server device 12 at a predetermined timing, such as periodically.

[0096] Here, the time interval for transmitting data from the measuring device 11 to the server device 12 is not particularly limited, and may be, for example, the same as the time interval for acquiring data by the sensor, or may be a time interval longer than the time interval for acquiring data by the sensor. As a specific example, the time interval at which data is transmitted from the measuring device 11 to the server device 12 may be, for example, once an hour. Note that sending data from the measuring device 11 to the server device 12 may be called, for example, uploading.

[0097] In step S2, in the report providing system 1, a predetermined system is logged in. At this time, in this embodiment, the transportation company or the like performs an operation to log in to the predetermined system. The predetermined system may be, for example, a daily report output system that outputs daily report information related to transportation. In this embodiment, the driver is identified from the identification information at the time of login.

[0098] In step S3, the report providing system 1 acquires driver information of the mobile object 51. Here, as explained in step S2, driver information, which is information about the driver of the moving body 51, is acquired.

[0099] In step S4, the report providing system 1 acquires information on the chassis number of the moving body 51. Here, the chassis number is the chassis number of the chassis 61 attached to the vehicle 51 driven by the driver. Here, the chassis number may be manually entered by a driver or the like in the report providing system 1, or the chassis number may be automatically obtained based on delivery information linked to the driver managed by the server device 12. In this embodiment, the delivery information includes information about the chassis 61 of the vehicle 51 driven by the driver, and the information includes information about the chassis number. The chassis number may be called, for example, chassis No. The chassis number information acquired in step S4 may be used as the chassis No. information shown in FIG. 7, for example.

[0100] In step S5, the report providing system 1 extracts data from a plurality of sensors linked to the acquired chassis number. In this embodiment, data from the sensor of the measuring device 11 attached to the chassis 61 corresponding to the acquired chassis number is extracted. In this example, a case where a plurality of sensors are used in the moving body 51 is shown, but as another example, when one sensor is used, data of the sensor is extracted in step S5.

[0101] In step S6, the report providing system 1 acquires information on the weight of the loading platform 62 of the moving object 51 driven by the driver. Here, the weight of the loading platform 62 may be manually entered by a driver or the like in the report providing system 1, or the weight of the loading platform 62 may be automatically obtained based on delivery information linked to the driver managed by the server device 12. In this embodiment, the delivery information includes information about the loading platform 62 of the mobile object 51 driven by the driver, and information about the weight of the loading platform 62 is included in the information. In this example, as the information on the weight of the loading platform 62, for example, information on the maximum load capacity of the loading platform 62 of the moving body 51 may be used.

[0102] In step S7, the report providing system 1 acquires information on the loading rate using a predetermined trained model. In this embodiment, for example, measurement data from the sensor of the measuring device 11 and size information are input to the trained model, and loading rate information is output from the trained model. In this embodiment, information on the maximum load capacity of the loading platform 62 of the moving body 51 is used as the size information.

[0103] In step S8, the report providing system 1 outputs information about the report in which the loading rate is described.

[0104] As a process step between the process of step S7 and the process of step S8, for example, the report providing system 1 may perform a process of determining the type of work performed by the driver, a process of determining the quality, and the like. In the example of FIG. 8, a processing flow focusing on the loading rate is shown, but the report providing system 1 acquires all information to be described in the report to be output.

[0105] The report may be, for example, report W shown in FIG. 7, or may be a report in another format or with another content. As a specific example, compared to report W shown in FIG. 7, the report may not include some of the information included in report W, or may include other information not included in report W. Furthermore, the layout position of each piece of information in the report is not limited to the layout position in the report W shown in FIG. 7, and any layout position may be used.

[0106] As described above, in the report provision method and control method of the report provision system 1 according to this embodiment, the server device 12 determines the loading rate of the mobile body 51 based on the detection value from the sensor of the measuring device 11 attached to the mobile body 51 and information on the size of the mobile body 51, and presents a report W containing information on the determined loading rate.

[0107] Therefore, in the report providing method and the control method of the report providing system 1 according to this embodiment, by notifying the driver or the transport company of the loading rate of the mobile object 51, it is possible to promote efficient loading rate improvement. As a result, the report providing method and the control method of the report providing system 1 according to this embodiment can provide sufficient information, for example, transportation information that can be used for management decisions by transport companies, or transportation quality information for shippers, etc. For example, this can contribute to the business of transport companies by allowing them to review loading rates, etc.

[0108] In the report providing method and the control method of the report providing system 1 according to the present embodiment, for example, a daily driving report in which items relating to the loading rate are described can be generated as the report W. In this embodiment, sensors can be used to provide information that can contribute to more efficient logistics or improved transportation quality.

[0109] 1 shows an example of a configuration according to the present embodiment. As an example of a configuration, a report providing method for providing a report W regarding a moving body 51 to which a sensor is attached is configured as follows. The report W includes data on the mobile object 51 detected by the sensor and loading rate information on the loading rate of the mobile object 51 calculated based on the maximum loading capacity of the mobile object 51 . The computer performs a step of acquiring a report W including loading rate information, and a step of displaying or printing the report W on a medium.

[0110] Therefore, in the report providing method, by notifying the driver or the transport company of the loading rate of the mobile object 51, it is possible to encourage the efficiency of the loading rate. In this embodiment, the sensor is a sensor of the measuring device 11. Also, for example, the configuration may be such that only any one of the process of displaying report W and the process of printing report W is possible, or the configuration may be such that both of these processes are possible.

[0111] In this embodiment, the computer is a combination of a computer constituting the server device 12, a computer constituting the first information processing device A1, and a computer constituting the printing device A2, but for example, these may be configured as a single computer, or the server device 12 and the first information processing device A1 may be configured as a single computer and the printing device A2 may be provided. Also, if printing of the report W is not required, the printing device A2 may not be provided. As another example, instead of a computer such as the server device 12 according to this embodiment, a computer such as a smartphone or tablet terminal carried by a driver or the like may be provided with the functionality to perform the above steps.

[0112] As an example of the configuration, the report providing method has the following configuration. The data relating to the moving object 51 is data relating to the impact that occurs when the moving object 51 moves. Therefore, the report providing method can provide the driver or the transportation company with the load factor calculated according to the impact.

[0113] As an example of the configuration, the report providing method has the following configuration. The loading rate information indicates changes in the loading rate over time. Thus, the reporting method can provide changes in load factor over time.

[0114] As an example of the configuration, the report providing method has the following configuration. The sensor acquires the position information of the moving object 51 . In the report providing method, it is determined from the location information whether the mobile unit 51 is at the base. The loading rate information is information that indicates changes in the loading rate at the base. Therefore, the report providing method can provide information on the change in loading rate over time at a base.

[0115] As an example of the configuration, the report providing method has the following configuration. The report W includes an evaluation based on the matching rate of the loading ratio information calculated based on the data acquired by the sensor. Therefore, the report providing method can provide the reliability of the evaluation of the loading ratio information. In this embodiment, the information on the likelihood of the evaluation in the seventh information area W7 shown in FIG. 7 is an example of an evaluation according to the matching rate of the loading ratio information.

[0116] As an example of the configuration, the report providing method has the following configuration. The report W includes speed information regarding the speed of the moving object 51 calculated from data acquired by the sensor. Thus, the reporting method can provide velocity information.

[0117] As an example of the configuration, the report providing method has the following configuration. The sensor acquires speed information of the loading platform 62 of the moving object 51 . The report W includes a speed evaluation item that evaluates the speed of the mobile object 51 according to the loading rate. Therefore, the report providing method can provide a speed evaluation according to the loading rate.

[0118] 7, the fifth information area W5 storing the loading rate information and the sixth information area W6 storing the speed information are arranged adjacent to each other in the vertical direction in the report W. This makes it visually easy to evaluate the speed according to the loading rate. In addition, in this embodiment, the measuring device 11 is provided on the chassis 61 of the moving body 51 and directly acquires speed information of the chassis 61, but this speed information is considered to be the same as or substantially the same as the speed information of the loading platform 62 of the moving body 51. As another example, a sensor may be provided on the loading platform 62 of the moving body 51 and the speed information of the loading platform 62 may be measured directly.

[0119] As an example of the configuration, the report providing method has the following configuration. The sensor acquires temperature information of the loading platform 62 of the moving object 51. The report W includes a temperature evaluation item that evaluates the temperature of the loading platform 62 of the mobile object 51 according to the loading rate. Therefore, the report providing method can provide a temperature evaluation according to the loading rate. In this embodiment, the quality item in the ninth information field W9 shown in FIG. 7, which is temperature, is an example of a temperature evaluation item.

[0120] As an example of the configuration, the report providing method has the following configuration. The report W includes the items transported by the mobile object 51, and if the items are living creatures, includes a stress evaluation item that evaluates the stress on the living creatures according to the loading rate. Therefore, the report providing method can provide an assessment of stress on the organism according to the loading rate. In this embodiment, the quality item in the ninth information area W9 shown in FIG. 7, which is stress, is an example of a stress evaluation item.

[0121] As an example of the configuration, the control method of the report providing system 1 is configured as follows. The report providing system 1 includes a sensor attached to a mobile object 51, a report generation unit 131 that generates a report W based on data detected by the sensor, and a report output unit that outputs the report generated by the report generation unit 131. The control method of the report providing system 1 includes the steps of causing a sensor to acquire data regarding the mobile body 51, causing the sensor to transmit the acquired data to a report generation unit 131, causing the report generation unit 131 to acquire the maximum load capacity of the mobile body 51, and causing the report generation unit 131 to calculate the load rate of the mobile body 51 based on the data and the maximum load capacity. In addition, the control method of the report providing system 1 includes the steps of causing the report generation unit 131 to generate a report W including loading rate information regarding the calculated loading rate of the mobile body 51, causing the report generation unit 131 to transmit the generated report W to the report output unit, and causing the report output unit to display or print the report W on a medium.

[0122] Therefore, in the control method of the report providing system 1, by notifying the driver or the transport company of the loading rate of the mobile object 51, it is possible to promote the efficiency of the loading rate. Here, in this embodiment, one or more of the report output unit 132 of the server device 12, the first report output unit C1 of the first information processing device A1, and the second report output unit C2 of the printing device A2 are examples of a report output unit. Additionally, data communication from the sensor to the report generator 131 may be performed via, for example, another device or another processing unit. Furthermore, data communication from the report generating unit 131 to the report output unit may be performed via, for example, another device or another processing unit.

[0123] A program for implementing the functions of any of the components of any of the above-described devices may be recorded on a computer-readable recording medium and loaded into a computer system for execution. Here, "computer system" includes hardware such as an operating system or peripheral devices. "Computer-readable recording medium" refers to portable media such as flexible disks, optical magnetic disks, ROMs (Read Only Memory), and CDs (Compact Discs)-ROMs, as well as storage devices such as hard disks built into computer systems. "Computer-readable recording medium" also includes devices that retain a program for a certain period of time, such as volatile memory within a computer system that acts as a server or client when a program is transmitted over a network such as the Internet or a communication line such as a telephone line. Such volatile memory may be RAM. The recording medium may also be non-transitory.

[0124] The above program may be transmitted from a computer system that stores the program in a storage device or the like to another computer system via a transmission medium or by transmission waves in the transmission medium. The "transmission medium" that transmits the program refers to a medium that has the function of transmitting information, such as a network such as the Internet or a communication line such as a telephone line. The above program may be for realizing some of the above functions. The above program may be a so-called differential file that can realize the above functions in combination with a program already recorded in a computer system. The differential file may also be called a differential program.

[0125] The functions of any of the components in any of the above-described devices may be implemented by a processor. Each process in the embodiments may be implemented by a processor operating based on information such as a program and a computer-readable recording medium storing information such as the program. The functions of each unit of the processor may be implemented by separate hardware, or may be implemented by integrated hardware. The processor includes hardware, and the hardware may include at least one of a circuit for processing digital signals and a circuit for processing analog signals. The processor may be configured using one or more circuit devices mounted on a circuit board, or one or both of one or more circuit elements. An integrated circuit (IC) or the like may be used as the circuit device, and a resistor or a capacitor may be used as the circuit element.

[0126] The processor may be a CPU. However, the processor is not limited to a CPU, and various types of processors such as a GPU (Graphics Processing Unit) or a DSP (Digital Signal Processor) may be used. The processor may be a hardware circuit using an ASIC (Application Specific Integrated Circuit). The processor may be configured with multiple CPUs, or may be configured with a hardware circuit using multiple ASICs. The processor may be configured with a combination of multiple CPUs and a hardware circuit using multiple ASICs. The processor may include one or more of an amplifier circuit or a filter circuit that processes analog signals.

[0127] Although the embodiments have been described above in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and includes designs within the scope of the gist of this disclosure.

[0128] [Note] Below, <Configuration Example 1> to <Configuration Example 10> are shown. Note that the lower-level configuration example may or may not be applied to the higher-level configuration example. Furthermore, a lower-level configuration example that is applicable to any of the two or more higher-level configuration examples may be applied to any of the two or more higher-level configuration examples, and furthermore, when two or more application examples arise in this way, a configuration example that is even lower than the lower-level configuration example may be applied to any of these two or more application examples.

[0129] <Configuration example 1> 1. A method for providing a report regarding a mobile object to which a sensor is attached, comprising: the report includes loading rate information regarding a loading rate of the mobile object calculated based on data regarding the mobile object detected by the sensor and a maximum loading capacity of the mobile object; The computer obtaining the report including the loading rate information; displaying or printing said report on a medium; To do How reports are provided.

[0130] <Configuration example 2> the data about the moving object is data about an impact that occurs when the moving object moves, The report providing method described in <Configuration Example 1>.

[0131] <Configuration example 3> The loading rate information is information indicating a change in the loading rate over time. The report providing method described in <Configuration Example 1> or <Configuration Example 2>.

[0132] <Configuration Example 4> The sensor acquires location information of the moving object, Identifying whether the mobile object is at a base based on the location information; The loading rate information is information indicating a change in the loading rate at the base. A report providing method according to any one of <Configuration Example 1> to <Configuration Example 3>.

[0133] <Configuration example 5> The report includes an evaluation based on a matching rate of the loading ratio information calculated based on the data acquired by the sensor. A report providing method according to any one of <Configuration Example 1> to <Configuration Example 4>.

[0134] <Configuration Example 6> the report includes speed information regarding the speed of the moving object calculated from data acquired by the sensor; A report providing method according to any one of <Configuration Example 1> to <Configuration Example 5>.

[0135] <Configuration Example 7> The sensor acquires speed information of a loading platform of the moving body, The report includes a speed evaluation item that evaluates the speed of the moving object according to the loading rate. A report providing method according to any one of <Configuration Example 1> to <Configuration Example 6>.

[0136] <Configuration Example 8> the sensor acquires temperature information of a loading platform of the moving body; the report includes a temperature evaluation item that evaluates the temperature of the loading platform of the moving body according to the loading rate; A report providing method according to any one of <Configuration Example 1> to <Configuration Example 7>.

[0137] <Configuration Example 9> The report includes an item transported by the moving body, and if the item is a living organism, includes a stress evaluation item that evaluates stress on the living organism according to the loading rate. A report providing method according to any one of <Configuration Example 1> to <Configuration Example 8>.

[0138] <Configuration Example 10> A control method for a report providing system including a sensor attached to a moving object, a report generating unit that generates a report based on data detected by the sensor, and a report output unit that outputs the report generated by the report generating unit, causing the sensor to acquire data relating to the moving object; causing the sensor to transmit the acquired data to the report generator; causing the report generation unit to acquire a maximum payload of the moving object; causing the report generation unit to calculate a loading rate of the moving object based on the data and the maximum loading capacity; causing the report generation unit to generate the report including loading rate information regarding the calculated loading rate of the moving body; causing the report generation unit to transmit the generated report to the report output unit; causing the report output unit to display or print the report on a medium; A control method for the report providing system, comprising: [Explanation of symbols]

[0139] 1...report providing system, 11...measuring device, 12...server device, 51...mobile body, 61...chassis, 62...loading platform, 81...network, 111...input unit, 112...output unit, 113...communication unit, 114...storage unit, 115...control unit, 131...report generation unit, 132...report output unit, 1011...first characteristic, 1021...second characteristic, 1111...third characteristic, 1121...fourth characteristic, A1...first information processing device, A2...printing device, B1...management unit, C1...first report output unit, C2...second report output unit, D1...base station device, G1...first location, G2...second location, G3...third location, G4...fourth location, G 11…11th base, G12…12th base, G13…13th base, G14…14th base, H1…1st-1st position, H2…1st-2nd position, H3…1st- 3rd position, H4...1st-4th position, I1...2nd-1st position, I2...2nd-2nd position, I3...2nd-3rd position, I4...2nd-4th position, M1...1st map, M2... 2nd map, R1...1st route, R2...2nd route, W...report, W1...1st information area, W2...2nd information area, W3...3rd information area, W4...4th information area, W5...5th information area, W6...6th information area, W7...7th information area, W8...8th information area, W9...9th information area, W10...10th information area

Claims

1. 1. A method for providing a report regarding a mobile object to which a sensor is attached, comprising: the report includes loading rate information regarding a loading rate of the mobile object calculated based on data regarding the mobile object detected by the sensor and a maximum loading capacity of the mobile object; The computer, obtaining the report including the loading rate information; displaying or printing the report on a medium; To do How reports are provided.

2. the data about the moving object is data about an impact that occurs when the moving object moves, The report providing method according to claim 1 .

3. The loading rate information is information indicating a change in the loading rate over time. The report providing method according to claim 1 .

4. The sensor acquires location information of the moving object, Identifying whether the mobile object is at a base based on the location information; The loading rate information is information indicating a change in the loading rate at the base. The report providing method according to claim 3 .

5. The report includes an evaluation based on a matching rate of the loading ratio information calculated based on the data acquired by the sensor. The report providing method according to claim 4 .

6. the report includes speed information regarding the speed of the moving object calculated from data acquired by the sensor; The report providing method according to claim 5 .

7. The sensor acquires speed information of a loading platform of the moving body, The report includes a speed evaluation item that evaluates the speed of the moving object according to the loading rate. The report providing method according to claim 6 .

8. the sensor acquires temperature information of a loading platform of the moving body; the report includes a temperature evaluation item that evaluates the temperature of the loading platform of the moving body according to the loading rate; The report providing method according to claim 5 .

9. The report includes an item transported by the moving body, and if the item is a living organism, includes a stress evaluation item that evaluates stress on the living organism according to the loading rate. The report providing method according to claim 5 .

10. A control method for a report providing system including a sensor attached to a moving object, a report generating unit that generates a report based on data detected by the sensor, and a report output unit that outputs the report generated by the report generating unit, causing the sensor to acquire data relating to the moving object; causing the sensor to transmit the acquired data to the report generator; causing the report generation unit to acquire a maximum payload of the moving object; causing the report generation unit to calculate a loading rate of the moving object based on the data and the maximum loading capacity; causing the report generation unit to generate the report including loading rate information regarding the calculated loading rate of the moving body; causing the report generation unit to transmit the generated report to the report output unit; causing the report output unit to display or print the report on a medium; A control method for the report providing system, comprising:

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