Information processor, method for processing information, and information processing program

Abstract

To provide an information processor, a method for processing information, and an information processing program which can accurately predict a failure that is to happen to a tire for the tire on the basis of the degree of increase or decrease of heat generated in the tire.SOLUTION: An information processor (50) includes: an acquisition unit (500) for acquiring plural pieces of tire heat information showing heat generated in time series in a tire attached to a mobile body and tire travel information on travelling of a tire; an operation unit (502) for operating tire heat increase-decrease information showing the degree of increase or decrease of heat generated in the tire in a predetermined time on the basis of the plural pieces of tire heat information acquired by the acquisition unit; and a control unit (504) for performing control to predict the failure state of the tire on a failure generated in the tire on the basis of the tire heat increase-decrease information operated by the operation unit and the tire travel information acquired by the acquisition unit.SELECTED DRAWING: Figure 6

Description

[Technical field]

[0001] The present disclosure relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] Conventionally, there are known techniques for detecting information related to the running of a tire and managing the tire based on the detected information. For example, a technique has been proposed for measuring running parameters such as running time and running distance of the tire, and conditions including the temperature of tire constituent members, and predicting a tire failure location based on these measured values ​​(for example, see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2016 / 084376 Summary of the Invention [Problem to be solved by the invention]

[0004] Incidentally, a tire is formed from a plurality of constituent materials, and at least some of the constituent materials may generate heat during driving, generating heat in the tire, which may cause the tire to malfunction. However, the temperature of the tire changes from moment to moment during driving. In addition, there are a huge number of combinations of the tire's heat and thermal history and information about the tire's running, such as the running time, and it may be difficult to predict tire malfunctions simply by using the tire's heat and thermal history and information about the tire's running, such as the running time. Therefore, there is room for improvement in predicting tire malfunctions.

[0005] The present disclosure aims to provide an information processing device, an information processing method, and an information processing program that can appropriately predict failures that may occur in a tire by taking into account the degree to which heat generated in the tire has increased or decreased. [Means for solving the problem]

[0006] A first aspect of the present disclosure is an acquisition unit that acquires a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object and tire running information relating to the running of the tires; a calculation unit that calculates tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire within a predetermined period of time based on the plurality of pieces of tire heat information acquired by the acquisition unit; a control unit that performs control to predict a tire failure state related to a failure occurring in the tire based on the tire heat increase / decrease information calculated by the calculation unit and the tire running information acquired by the acquisition unit; and The information processing device is provided with:

[0007] A second aspect is the information processing device of the first aspect, the plurality of tire heat information are heat histories indicating tire heats that change from moment to moment, the tire heat increase / decrease information is a degree of increase / decrease in the heat history indicating a degree of change in the heat history, and the tire running information is a remaining tread depth of the tire, The control unit performs control to predict the failure state using a correspondence relationship that associates the degree of increase / decrease in the thermal history and the remaining tread depth of the tire with information indicating a failure state occurring in the tire.

[0008] A third aspect is an information processing device according to the first or second aspect, the information indicating the failure state is associated with instruction information indicating an instruction for a process to be performed on at least one of the moving object and the tire; The control unit performs control to output instruction information corresponding to the predicted fault state.

[0009] A fourth aspect is the information processing device of the third aspect, The acquisition unit acquires the tire heat information and the tire running information for each of a plurality of tires attached to the moving body, The calculation unit calculates the tire heat increase / decrease information for each of the plurality of tires acquired by the acquisition unit, The control unit predicts a failure state of each of the multiple tires calculated by the calculation unit, and controls the output of instruction information to at least one of the tires based on the predicted failure states of the multiple tires.

[0010] A fifth aspect is an information processing device according to any one of the first to fourth aspects, The tire is a pneumatic tire, The tire temperature information is an internal temperature of the pneumatic tire, The tire running information is the tread thickness of the pneumatic tire.

[0011] The sixth aspect is The computer Obtaining a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object and tire running information relating to the running of the tires; Calculating tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire over a predetermined period of time based on the acquired tire heat information; performing control to predict a tire failure state regarding a failure occurring in the tire based on the calculated tire heat increase / decrease information and the acquired tire running information; This is an information processing method for processing the above.

[0012] The seventh aspect is To your computer Obtaining a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object and tire running information relating to the running of the tires; Calculating tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire over a predetermined period of time based on the acquired tire heat information; performing control to predict a tire failure state regarding a failure occurring in the tire based on the calculated tire heat increase / decrease information and the acquired tire running information; It is an information processing program that processes the following:

[0013] The eighth aspect is an acquisition unit that acquires a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object; a calculation unit that calculates tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire within a predetermined period of time based on the plurality of pieces of tire heat information acquired by the acquisition unit; a control unit that performs control to predict a tire failure state regarding a failure occurring in the tire based on the tire heat increase / decrease information calculated by the calculation unit; and The information processing device is provided with:

[0014] A ninth aspect is an information processing device according to any one of the first to fifth aspects or the eighth aspect, The control unit performs control to predict the failure state based on the plurality of pieces of tire heat information after the tires are attached to the moving body.

[0015] A tenth aspect is an information processing device according to any one of the first to fifth aspects and the eighth to ninth aspects, The control unit performs control to predict the failure state only for the tires attached to the rear of the moving body, based on the plurality of pieces of tire heat information after the tires are attached to the rear of the moving body.

[0016] An eleventh aspect is an information processing device according to any one of the first to fifth aspects and the eighth to tenth aspects, The control unit performs control to predict the failure state based on the plurality of pieces of tire heat information at predetermined times.

[0017] The twelfth aspect is The computer acquiring a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object; Calculating tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire over a predetermined period of time based on the acquired tire heat information; performing control to predict a tire failure state regarding a failure occurring in the tire based on the calculated tire heat increase / decrease information; This is an information processing method for processing the above.

[0018] The thirteenth aspect is To your computer acquiring a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object; Calculating tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire over a predetermined period of time based on the acquired tire heat information; performing control to predict a tire failure state regarding a failure occurring in the tire based on the calculated tire heat increase / decrease information; It is an information processing program that processes the following:

[0019] A fourteenth aspect is an information processing device according to any one of the first to fifth aspects and the eighth to eleventh aspects, The system includes a providing unit that provides information indicating the failure state to an automatic driving control device that controls the driving of the mobile body so that the mobile body drives autonomously based on the predicted failure state.

[0020] A fifteenth aspect is an information processing method according to the sixth or twelfth aspect, providing information indicating the failure state to an automatic driving control device that controls driving of the mobile body so that the mobile body autonomously drives based on the predicted failure state; This includes:

[0021] A sixteenth aspect is an information processing program according to the seventh or thirteenth aspect, providing information indicating the failure state to an automatic driving control device that controls driving of the mobile body so that the mobile body autonomously drives based on the predicted failure state; This includes:

[0022] A seventeenth aspect is an information processing device according to any one of the first to fifth aspects and the eighth to eleventh aspects, The system includes an automatic driving control unit that controls the traveling of the mobile body so that the mobile body travels autonomously based on the predicted failure state.

[0023] An 18th aspect is an information processing method according to the 6th or 12th aspect, controlling travel of the mobile body so that the mobile body travels autonomously based on the predicted failure state; This includes:

[0024] A nineteenth aspect is an information processing program according to the seventh or thirteenth aspect, controlling travel of the mobile body so that the mobile body travels autonomously based on the predicted failure state; This includes: Effect of the Invention

[0025] According to the present disclosure, it is possible to appropriately predict a failure that may occur in a tire by taking into account the degree of increase or decrease in heat generated in the tire. [Brief description of the drawings]

[0026] [Figure 1] 1 is a block diagram showing a schematic configuration of an information processing system according to an embodiment. [Diagram 2] FIG. 2 is a block diagram of a moving object. [Diagram 3] FIG. 1 is a cross-sectional view showing an example of a tire structure. [Figure 4] FIG. 2 is a block diagram showing an example of an electrical configuration of a user terminal. [Diagram 5] FIG. 2 is a block diagram showing an example of an electrical configuration of the server device. [Figure 6] FIG. 2 illustrates an example of a functional configuration of a server device. [Figure 7]FIG. 2 is a conceptual diagram illustrating the characteristics of a tire's thermal history leading to different failure states. [Figure 8] FIG. 4 is a diagram showing an example of a determination map for determining a failure state of a tire. [Figure 9] FIG. 13 is a diagram showing an example of an assistance determination map showing instruction information according to a failure state of a tire. [Figure 10] 10 is a flowchart showing an example of a process flow of a server device. [Figure 11] FIG. 11 is a conceptual diagram showing an example of a combination of judgment results of a plurality of tires on a judgment map. [Figure 12] FIG. 13 is a diagram showing an example of an assistance determination map showing instruction information according to the failure state of a plurality of tires. [Figure 13] FIG. 1 is a conceptual diagram showing the relationship between the thermal history gradient and the risk of tire failure. [Figure 14] 10 is a flowchart showing an example of a process flow of a server device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0027] Hereinafter, embodiments for implementing the technology of the present disclosure will be described in detail with reference to the drawings. In addition, components and processes that have the same action and function are given the same reference numerals throughout the drawings, and duplicated explanations may be omitted as appropriate. In addition, the present disclosure is not limited to the following embodiments, and can be implemented with appropriate modifications within the scope of the purpose of the present disclosure.

[0028] <Information Processing System> FIG. 1 shows a schematic configuration of an information processing system 1 according to an embodiment. The information processing system 1 is a system that collects information related to tires attached to a moving object 2, such as a vehicle traveling in a mine, and performs processing related to the tire condition of the tire. As shown in Fig. 1, the information processing system 1 includes a user terminal 3 and a server device (hereinafter referred to as "server") 5 that operates as an information processing device. The server 5 is an example of an information processing device of the present disclosure.

[0029] The user terminal 3 and the server 5 are connected to each other via a network 6. The network 6 is any network that can be connected by wire or wirelessly, such as a telephone line, a LAN, a WAN, the Internet, a wide area Ethernet network, etc. The network 6 may be configured to connect the mobile body 2 to a communication device (not shown) equipped on the mobile body 2 so that information can be exchanged with the mobile body 2.

[0030] The information processing system 1 may be realized by including a configuration of a network environment including a virtual network in which a part of the network and a part or all of the devices are virtualized on a virtual space called a cloud. For example, the server 5 may be formed on a virtual space called a cloud, and a client terminal known as a client-server system may be connected to the server 5 via a network 6 to operate the server 5. In addition, in order to ensure redundancy of the information processing system 1, a plurality of servers 5 may be connected via a network.

[0031] Also, FIG. 1 shows an example in which a user terminal 3 is connected to the network 6. The present disclosure is not limited to a case in which one user terminal 3 is connected to the network, and multiple terminal devices may be connected as the user terminal 3. For example, the user terminal 3 may include one or more terminals provided within the same company or base. As an example of multiple user terminals 3, a worker terminal used by a user who is a worker performing work related to moving objects and tires, a manager terminal used by a user who is a manager who manages the work, and a supervisor terminal used by a user who is a supervisor who manages the work may be provided and linked together.

[0032] In this disclosure, the term "tire" refers to a concept including an elastically deformable member attached to a moving body such as a vehicle and a member that can be attached to and detached from the moving body. The tire includes a pneumatic tire. The tire can indicate the tire condition by "tire-related parameters." The "tire-related parameters" include tire heat information and tire running information.

[0033] The tire running information is an example of a physical quantity that indicates a tire condition related to tire running, and is a concept that includes at least one of the amount of running of the tire and the amount of change in the tire structure that changes due to the running of the tire.

[0034] For example, the tire running information may include information such as the running time, running distance, and tire rotation count of the tire as the amount of running of the tire, and information such as the remaining tread depth (RTD) as the amount of change in the tire structure. Other examples of the amount of change in the tire structure may include the shape, size, such as width, and depth of the grooves provided in the tire, the thickness of the tire tread portion, and the amount of change in the degree of wear of the tire tread portion such as uneven wear. The tire running information is preferably applied to the running time, running distance, or remaining tread depth of the tire. As the measurement unit for measuring the tire running information, for example, a known sensor that can measure at least one of the time and distance the tire has run by sensing the rotation of the tire can be used. The remaining tread depth may be measured directly by a measurement sensor, or may be derived from an image captured by a camera or the like. The running distance may be, for example, a record of a GPS. The remaining tread depth of the tire can be substituted for the thickness of the tire tread portion. Therefore, as a preferred example, the thickness of the tire tread portion may be applied. The thickness of the tire tread portion can be measured using any known measurement method, and can be derived, for example, by measuring appropriately selected components such as the thickness from the radially outermost belt to the tire surface, the thickness of the rubber member disposed in the tire tread portion, etc.

[0035] The tire heat information is an example of a physical quantity that indicates the tire condition related to the heat of the tire, and is a concept that includes at least the temperature of the tire. The tire heat information can include the internal pressure, such as the air pressure of a pneumatic tire, and the internal temperature of the pneumatic tire. That is, the tire heat information can apply, for example, a physical quantity that indicates the thermal state of a tire constituent member. Examples of tire constituent members are members such as beads, carcass, belts, and tread rubber. In addition, the physical quantity that indicates the thermal state of a tire constituent member can apply, for example, the temperature of the tire constituent member.

[0036] Generally, the temperature of a tire after running differs for each component. The temperature of each tire component can be calculated by, for example, attaching a sensor for measuring temperature in a chamber (i.e., the space between the tire inner surface and the rim wheel), measuring the temperature in the chamber, and converting the measured temperature in the chamber into the temperature of each tire component. For example, by using a predetermined calculation formula to convert the temperature in the chamber into the temperature of each tire component (tread, belt, bead, etc.), the temperature of the component (tread, belt, bead, etc.) can be calculated from the measured temperature in the chamber. In addition, the temperature of each tire component such as the tread, belt, bead, etc. can also be calculated by adding a certain constant based on past data to the measured temperature in the chamber. In addition, by placing a sensor in a part where temperature information is desired to be obtained, the temperature of each part can be obtained directly.

[0037] In addition, in this embodiment, a thermal history indicating the tire heat that changes from moment to moment is applied as the tire heat information. In addition, the increase / decrease degree of the thermal history indicating the degree of change of this thermal history is applied as the tire heat increase / decrease information. The thermal history indicates the change characteristic of the tire temperature measured in time series, and can be calculated by, for example, integrating the tire temperature measured in time series with the tire running time or the like. The increase / decrease degree of the thermal history, which is the tire heat increase / decrease information, indicates the change rate (slope of the thermal history) of the change characteristic of the tire temperature measured in time series indicated by the thermal history, and can be calculated by differentiating the thermal history (change characteristic of the tire temperature) with the tire running time or the like. These thermal histories and the increase / decrease degree of the thermal history indicated by the slope of the thermal history correspond to the fatigue degree of the tire including the tire constituent members. The thermal history and the increase / decrease degree of the thermal history indicated by the slope of the thermal history are examples of indexes for predicting the risk of failure of a tire including the tire constituent members.

[0038] <Mobile object> Fig. 2 shows an example of a moving object 2 from which tire-related parameter values ​​including tire heat information and tire running information are acquired. Fig. 2 conceptually shows a configuration including an in-vehicle device 24 that collects information related to tires.

[0039] In this embodiment, the moving body 2 is provided with a total of six tires 20, one tire each on the front left and right and two tires each on the rear left and right. The tire 20 is provided with a sensor module 22. The sensor module 22 measures the tire state, that is, acquires and transmits values ​​of tire-related parameters. The sensor module 22 may measure tire heat information and tire running information. In this embodiment, the sensor module 22 is capable of measuring and transmitting at least tire heat information. In FIG. 2, the tires 20 and the sensor module 22 are given symbols according to their positions on the moving body 2. That is, the tire provided on the front right side of the moving body 2 in the traveling direction is indicated as tire 20(FR), and the tire provided on the front left side is indicated as tire 20(FL). In addition, for the two tires 20 provided on the rear right side, the outer tire is indicated as tire 20(BRO) and the inner tire is indicated as tire 20(BRI). Similarly, of the two tires 20 provided on the rear left side, the outer tire is indicated as tire 20 (BLO) and the inner tire is indicated as tire 20 (BLI). In the following explanation, symbols are used when describing the position of the tires on the moving body 2, but otherwise the tires 20 and sensor module 22 are collectively referred to.

[0040] In this embodiment, the moving body 2 is described as having six tires 20, but the technology of the present disclosure is not limited to this. For example, it is applicable to a moving body 2 having three or more tires 20. It is preferably applicable to a moving body 2 having four to ten tires 20, and is also applicable to a moving body 2 having ten or more tires 20. In addition, the arrangement of the tires 20 on the moving body 2 is not limited to an equal number of tires on the left and right, and the number may be determined according to the position of the tires 2 relative to the moving body 2. Furthermore, the arrangement of the tires 20 is not limited to front-rear and left-right. For example, the tire 20 may be arranged in the center between at least one of the front-rear and left-right.

[0041] The moving object 2 is equipped with an on-board device 24 that collects and transmits values ​​of tire-related parameters (temperature data indicating tire heat information in this embodiment). The on-board device 24 acquires information from each sensor module 22. The sensor module 22 is attached to the wheel of the tire 20, or inside the tire, or on the vehicle body outside the tire, and measures at least the temperature of the tire 20 and transmits the measured temperature data to the on-board device 24.

[0042] The vehicle-mounted device 24 receives the temperature data of each tire sent from the sensor module 22, and controls the transmission of the tire temperature data associated with the mounting position of the tire to the outside of the moving object 2. The mounting position of the tire can be specified from a correspondence table that associates the mounting position of the tire with the unique identification code of the sensor module 22 of the tire. The vehicle-mounted device 24 includes an electronic control unit (Electric Control Unit / ECU), a transmitting / receiving unit, and a memory (not shown). The memory (not shown) can record the correspondence table that associates the mounting position of the tire with the unique identification code of the sensor module 22, and information from the sensor module 22 (temperature data of the tire 20) as a log. The vehicle-mounted device 24 can have a function of outputting the log recorded in the memory (not shown) to the outside of the moving object 2.

[0043] In this embodiment, the vehicle-mounted device 24 acquires and records temperature data from the sensor module 22, and outputs the temperature data to the outside of the moving object 2. For example, data from the sensor module 22 may be output directly to an external device such as the server 5 via the network 6 without going through the vehicle-mounted device 24. In this case, the correspondence table related to the sensor module 22 may also be stored in a device included in the information processing system 1 (for example, the server 5) without being stored in the vehicle-mounted device 24.

[0044] In addition, the tire temperature data is provided with time information when the data is transmitted from the sensor module 22. This makes it possible to identify the date and time of the tire temperature data.

[0045] Furthermore, the vehicle-mounted device 24 may acquire and transmit at least one of the tire travel amount (e.g., tire travel time, travel distance, tire rotation count, etc.) and the amount of change in tire structure (e.g., remaining tread depth, etc.) as tire travel information. Note that this tire travel information is not limited to being acquired by the vehicle-mounted device 24. For example, it may be acquired by measuring with an external device of the moving object 2.

[0046] FIG. 3 shows a cross-sectional view of an example of the structure of the tire 20. 3 shows a tire tread portion TR, a tire belt BL, and a carcass CS as typical tire components of the tire 20. Values ​​of tire-related parameters of the tire 20 (for example, the tire's running time, remaining tread depth, and temperature data of the tire 20) are measured by a measuring unit 34 (illustrated) such as a measuring device or a sensor module 22.

[0047] <User device> Next, an example of the configuration of a terminal in the information processing system 1 according to the embodiment will be described. FIG. 4 shows an example of the configuration of the user terminal 3. The user terminal 3 is a terminal device provided at a base where processing is performed on a tire attached to a moving object 2 such as a vehicle (for example, a management base where the condition of the tire is managed). A user who operates the user terminal 3 performs processing on the tire based on the tire condition of the tire. The user terminal 3 transmits information related to the tire (i.e., tire heat information and tire-related parameter values ​​including tire driving information) to the server 5, and receives a reply from the server 5 as a response thereto. The user terminal 3 can be a general-purpose computer device such as a personal computer (PC: Personal Computer).

[0048] The user terminal 3 includes a computer main unit 30, which includes a CPU 30A, a RAM 30B, a ROM 30C, and an I / O 30D, which are connected to one another via a bus 30E. An auxiliary storage device 35, which can be realized by a HDD, a non-volatile flash memory, or the like, is connected to the bus 30E. Also, a communication unit 31 that communicates with an external device, an input unit 32 through which the user inputs data, and a display unit 33 through which the user checks the data are connected to the I / O 30D.

[0049] A user terminal program 35P can be stored in the auxiliary storage device 35. The user terminal 3 reads the user terminal program 35P from the auxiliary storage device 35, loads it in the RAM 30B, and executes processing. As a result, the user terminal 3 that executes the user terminal program 35P operates as a device that performs processing on the tire condition of tires in the store. The user terminal program 35P may be provided by a recording medium such as a CD-ROM.

[0050] In addition, the auxiliary storage device 35 stores various data 35D used by the user terminal 3.

[0051] The communication unit 31 receives tire information (values ​​of tire-related parameters), i.e., temperature data, which is heat information of the tires, from the vehicle-mounted device 24 of the moving object 2 via a wired or wireless connection. It is possible to obtain

[0052] A measurement unit 34 that measures the tire condition can be connected to the I / O 30D. The measurement unit 34 is a measurement device that measures tire running information (values ​​of tire-related parameters). In this embodiment, remaining tread depth (RTD) information is applied as the amount of change in tire structure as the tire running information, and a measurement device that measures the remaining tread depth of the tire 20 can be applied as the measurement unit 34.

[0053] It is not essential that the measurement unit 34 is connected to the user terminal 3. For example, instead of the measurement unit 34, the user may measure the tire condition and input it from the input unit 32.

[0054] <Server> Next, an example of the configuration of the server 5 will be described with reference to FIG. The server 5 is an example of a server device that is connected to the network 6 and has the function of acquiring tire-related information (i.e., tire heat information and tire running information (values ​​of tire-related parameters) from the user terminal 3 and transmitting information to assist in processing of the tire. The server 5 is equipped with a computer main body 50, which has a CPU 50A, a RAM 50B, a ROM 50C, and an I / O 50D, which are connected to each other via a bus 50E. An auxiliary storage device 55 is connected to the bus 50E. In addition, a communication unit 51 that communicates with devices on the network 6, an input unit 52 for the user to input data, and a display unit 53 are connected to the I / O 50D. Note that if the server 5 is configured to be operable by a client terminal (not shown), the input unit 52 and the display unit 53 are not essential components.

[0055] The auxiliary storage device 55 stores various data 55D used by the server 5. The auxiliary storage device 55 also stores a table 55T indicating information for supporting processing for tires, and a server program 55P. The table 55T will be described later.

[0056] The server 5 reads the server program 55P from the auxiliary storage device 55, loads it in the RAM 50B, and executes the processing. The server 5 that executes the server program 55P operates as an information processing device that outputs information for supporting processing for tires in response to information from the user terminal 3.

[0057] FIG. 6 is a block diagram showing an example of a functional configuration of the server 5 according to the present embodiment. 6, the CPU 50A of the server 5 executes a server program 55P to function as an information processing device of the present disclosure. The information processing device includes functional units functioning as an acquisition unit 500, a calculation unit 502, and a control unit 504, respectively. The acquisition unit 500 is an example of an acquisition unit of the present disclosure, the calculation unit 502 is an example of a calculation unit of the present disclosure, and the control unit 504 is an example of a control unit of the present disclosure.

[0058] The acquisition unit 500 is a functional unit that acquires tire-related parameter values ​​(tire temperature, which is tire heat information, and remaining tread depth, which is tire driving information) of the tires 20 attached to the moving object 2, and has a function of acquiring information output from the user terminal 3. Note that acquisition of tire-related parameter values ​​is performed for each of the multiple tires attached to the moving object 2.

[0059] The calculation unit 502 is a functional unit that calculates an index for predicting the risk of failure of a tire including tire constituent members. Specifically, the calculation unit 502 calculates a thermal history using the tire thermal information acquired by the acquisition unit 500, and calculates the degree of increase or decrease in the thermal history (tire heat increase or decrease information) that indicates the degree of change in the thermal history. The thermal history indicates the change characteristics of the tire temperature measured in chronological order. The degree of increase or decrease in the thermal history indicates the rate of change (the gradient of the thermal history) of the change characteristics of the tire temperature indicated by the thermal history.

[0060] The control unit 504 is a functional unit that predicts the failure state of a tire based on the degree of increase or decrease in the thermal history (the gradient of the thermal history), which is an index for predicting the risk of tire failure, calculated by the calculation unit 502, and the remaining tread depth, which is tire running information acquired by the acquisition unit 500. Specifically, the control unit 504 judges the tire state of the target tire corresponding to the degree of increase or decrease in the thermal history (the gradient of the thermal history) and the remaining tread depth of the tire, and predicts the judged tire state as the failure state of the tire. This tire state judgment and prediction of the failure state of the tire are performed using a predetermined judgment condition. This judgment condition will be described later.

[0061] The control unit 504 also has a function of setting information indicating a task of processing for the target tire according to the determined tire condition, that is, the failure condition of the tire. Note that the determination of the tire condition of the target tire is performed for each of the multiple tires attached to the moving object 2. The setting of information indicating a task for the target tire is also performed for each tire.

[0062] The control unit 504 outputs the prediction result of the tire failure state and information indicating a processing task for the target tire according to the failure state of the tire to the user terminal 3. Thus, the user terminal 3 can receive the prediction result of the tire failure state and information indicating a processing task for the target tire. Thus, the user operating the user terminal 3 can execute an appropriate process according to the failure state of the target tire.

[0063] The tasks of predicting the failure state of a tire and processing the target tire will now be described. Fig. 7 is a conceptual diagram showing the characteristics of thermal history with respect to tire running for two types of tires that reach different failure states. Fig. 7 shows the characteristics of thermal history for a tire with a large thermal history slope and a tire with a small thermal history slope. As the thermal history slope increases, the tire failure risk increases. In other words, a tire with a large thermal history slope has a higher failure risk than a tire with a small thermal history slope.

[0064] Furthermore, heat accumulates in the tire 20 as the tire 20 travels, causing separation between the tread and the belt in the tire 20 and the generation of smoke due to the heat. For this reason, it is preferable to identify the tire's failure state before separation or the generation of smoke in the tire 20, thereby reducing the risk of failure. Therefore, in this embodiment, the tire condition of the target tire corresponding to the degree of increase or decrease in the thermal history (the gradient of the thermal history) and the remaining tread depth of the tire is determined, and the determined tire condition is predicted as the tire's failure state.

[0065] Fig. 8 shows an example of a determination map indicating determination conditions for determining a tire failure state. The determination map shown in Fig. 8 is stored in advance in table 55T. The determination map defines tire failure states corresponding to the degree of increase / decrease in thermal history and the remaining tire tread depth in a coordinate space having the vertical axis representing the degree of increase / decrease in thermal history (the gradient of thermal history) and the horizontal axis representing the remaining tire tread depth.

[0066] Specifically, the judgment map is classified into small regions A, B, and C that indicate tire failure risks corresponding to tire failure states. Thermal risk is applicable to tire failure risks. That is, small region A is a region to which tires 20 with the highest thermal risk belong, and is, for example, a region to which tires 20 that may experience a thermal failure (smoke failure) in which smoke is generated as an example of a sudden thermal failure belong. Small region B is a region to which tires 20 with a medium failure risk (thermal risk) compared to small region A belong, and is, for example, a region to which tires 20 with a medium failure risk (thermal risk) belong, and is, for example, a region to which tires 20 that may experience a thermal failure (separation failure) in which peeling occurs inside the tire 20, but do not generate smoke, may experience a thermal failure. This is the region to which the tire 20 belongs. Small region C is a region to which tires 20 with an even lower failure risk (thermal risk) belong compared to small regions A and B. For example, this region corresponds to tires that have a possibility of the tire failure risk reaching a normal level of failure (normal failure), and corresponds to tires 20 that deteriorate with use or aging. These small regions are classified using threshold values ​​R1, R2, and R3, which classify the range of the remaining tread depth of the tire into several ranges, as boundaries, and threshold values ​​th1 and th2, which classify the range of the degree of increase or decrease in thermal history (thermal history gradient) into several ranges.

[0067] The thresholds R1, R2, and R3 can be determined using a first value Ra determined from a predetermined value (e.g., an upper limit) of the remaining tread depth at which smoke is predicted to occur in the tire 20, and a second value Rb determined from a predetermined value (e.g., an upper limit) of the remaining tread depth that is greater than the first value Ra and at which peeling is predicted to occur in the tire 20. The thresholds th1 and th2 can be determined using a predetermined value (e.g., an upper limit) of the rate of increase or decrease in thermal history (the slope of the thermal history) in a tire in a normal level of failure state described above, and a predetermined value (e.g., a lower limit) of the rate of increase or decrease in thermal history (the slope of the thermal history) in a tire in a failure state in which smoke is predicted to occur in the tire 20.

[0068] Therefore, in the determination map, these small regions of the same type are organized, and a region consisting only of small region A is defined as region ErA. Similarly, a region consisting only of small region B is defined as region ErB, and a region consisting only of small region C is defined as region ErC. Note that it is also possible to set a region ErAB that combines regions ErA and ErB as a region where there is a high possibility that smoke will be generated in the tire 20 or peeling will occur inside the tire 20.

[0069] Therefore, the control unit 504 in the server 5 can use the determination map (FIG. 8) to determine the tire condition of the target tire from the degree of increase or decrease in the heat history (the gradient of the heat history) and the remaining tread depth of the tire, and predict the determined tire condition as a tire failure state. Note that the above-mentioned predetermined value and threshold value are not limited to those described above, and may be within a predetermined range, or multiple values ​​may be set in stages.

[0070] Furthermore, the control unit 504 can set information indicating a processing task for the target tire according to the predicted failure state of the tire. This information indicating the processing task for the target tire is an example of instruction information for assisting the user in processing the tire according to the failure state of the tire. The control unit 504 can output the instruction information to the user terminal 3. This instruction information can be set in advance as message information that enables the user operating the user terminal 3 that has received the information to intuitively perform an operation or process.

[0071] Fig. 9 is an assistance judgment map showing an example of instruction information corresponding to a failure state of a tire. The assistance judgment map shown in Fig. 9 is stored in advance in the table 55T. In the assistance judgment map shown in Fig. 9, items corresponding to the failure state of the tire 20 are defined.

[0072] Specifically, the support determination map defines a plurality of items classified into work or processing for the moving body 2 on which the tire 20 is mounted and work or processing for the tire 20. As shown in FIG. 9, an example of work or processing for the moving body 2 can be applied to an item indicating inspection such as maintenance of the moving body, and an item indicating a proposed travel route and an adjustment of the travel speed, which are travel conditions of the moving body 2. In addition, an example of work or processing for the tire 20 can be applied to an item indicating inspection such as tire maintenance, and an item indicating tire processing such as tire rotation. The instruction information corresponding to the predicted tire failure state is not limited to one. For example, as shown in FIG. 9, instruction information for a plurality of items may be set. In this case, the user may select one of the presented instruction information. In addition, it is preferable that the control unit 504 sets message information that enables the user to intuitively perform the work or processing as the instruction information, as described above.

[0073] In the above-described assistance determination map, the failure state of the tire 20 that falls within the area ErA consisting only of the small area A is designated as tire condition Case-A. Similarly, the failure state of the tire 20 that falls within the area ErB consisting only of the small area B is designated as tire condition Case-B, and the failure state of the tire 20 that falls within the area ErC consisting only of the small area C is designated as tire condition Case-C.

[0074] (Information Processing) Next, the information processing executed in the information processing system 1 will be described, focusing on the processing executed in the server 5. The user terminal 3 executes a process of measuring tire heat information and tire driving information (values ​​of tire-related parameters), and transmits the data to the server 5. Then, the user terminal 3 waits for a response from the server 5. The user terminal 3 receives the response from the server 5, i.e., instruction information, and performs control to output the received information and display the instruction information on the display unit 33.

[0075] Fig. 10 is a flowchart showing an example of the flow of server processing executed in the server 5. The processing routine shown in Fig. 10 is an example of the flow of processing of the server program 55P stored in the server 5. The processing routine shown in Fig. 10 is executed by the CPU 50A in the server 5.

[0076] The information processing shown in FIG. 10 is an example of processing executed by an information processing method and an information processing program according to the present disclosure.

[0077] As described above, the CPU 50A as the acquiring unit 500 executes the process of acquiring data based on tire heat information (temperature data) and tire running information (remaining tread depth), which are tire-related parameters, transmitted from the user terminal 3 in step S100.

[0078] Next, in step S110, CPU 50A executes a process of calculating an index for predicting a failure risk of a tire including tire constituent members as calculation unit 502. That is, as described above, the CPU 50A calculates a thermal history using the acquired tire heat information, and calculates a gradient of the thermal history, which is a degree of increase or decrease in the thermal history (tire heat increase or decrease information) indicating the degree of change in the thermal history.

[0079] Next, in step S120, the CPU 50A, as the control unit 504, predicts the tire failure state based on the degree of increase or decrease in the thermal history (the gradient of the thermal history), which is an index for predicting the tire failure risk, calculated in step S110, and the remaining tread depth, which is the tire running information acquired in step S100. That is, the tire state of the target tire corresponding to the gradient of the thermal history and the remaining tread depth of the tire is determined using the above-mentioned determination map (FIG. 8), and the determined tire state is predicted as the tire failure state. In step S120, the above-mentioned support determination map (FIG. 9) can be used to set instruction information indicating a task of processing for the target tire according to the tire failure state, which is the determined tire state. Then, in step S120, a process of outputting the prediction result of the tire failure state and the instruction information, i.e., a process of transmitting them to the user terminal 3, is performed, and this processing routine is terminated.

[0080] Therefore, the user terminal 3 can receive the prediction result of the failure state of the tire and the instruction information indicating the processing task for the target tire. Therefore, the user operating the user terminal 3 can execute an appropriate process according to the failure state of the target tire.

[0081] In this way, according to the information processing system 1 of the present disclosure, it is possible to appropriately predict the occurrence of a tire failure by taking into account the degree of increase or decrease in the heat generated in the tire. This makes it possible to instruct appropriate work or processing according to the failure state of the target tire, It is possible to provide support to the user. For example, it is possible to reduce the burden on the user in terms of work and processing, compared to when the user works or processes on the tire using only the running time and thermal history of the tire.

[0082] Second embodiment Next, a second embodiment will be described. The second embodiment is designed to output instruction information to a plurality of tires. Since the second embodiment has a configuration substantially similar to that of the first embodiment, the same parts are denoted by the same reference numerals and detailed description thereof will be omitted.

[0083] In the first embodiment, a case has been described in which a failure state of each of the multiple tires 20 mounted on the moving body 2 is predicted, and appropriate work or processing is instructed according to the predicted failure state of the tire. However, it is rare that a failure state is common to the multiple tires 20 mounted on the moving body 2. For example, it may be predicted that a preferable response to the failure state of only one tire 20 is required, and no response is required for the other tires. Thus, the second embodiment will describe a case in which appropriate work or processing is instructed according to the number of tires for which a preferable response to the failure state is required.

[0084] FIG. 11 is a conceptual diagram showing an example of the determination results of a plurality of tires 20 mounted on a moving object 2 on the determination map (FIG. 8). In FIG. 11, combinations of the judgment results of the four tires 20 mounted on the rear of the moving body 2 are shown as types Type. Type-A indicates a combination in which all of the four tires 20 mounted on the rear are in a failure state of the tires 20 that falls into the region ErA. Type-B indicates a combination in which at least one tire 20 is in a failure state of the tires 20 that falls into the region ErB. In FIG. 11, a combination in which one tire 20 is in a failure state of the tires 20 that falls into the region ErB and a combination in which all four tires 20 are in a failure state of the tires 20 that falls into the region ErB are shown as examples of type Type-B. Type-C indicates a combination in which all four tires 20 are in a failure state of the tires 20 that does not fall into the region ErA and the region ErB. In FIG. 11, a combination in which all four tires 20 are in a failure state of the tires 20 that falls into the region ErC is shown as type Type-C.

[0085] Fig. 12 is an assistance determination map showing an example of instruction information corresponding to the failure states (types) of a plurality of tires. The assistance determination map shown in Fig. 12 can be stored in advance in the table 55T. In the assistance determination map shown in Fig. 12, items for the moving object 2 and items for the moving object 2 are defined corresponding to types (types) based on combinations of determination results of a plurality of tires 20.

[0086] The types based on the combinations of the judgment results of the plurality of tires 20 and the corresponding items are not limited to those shown in Fig. 11 and Fig. 12. For example, appropriate items may be determined in advance according to the number of tires.

[0087] In this way, according to this embodiment, it is possible to provide instruction information, i.e., to instruct the user on appropriate work or processing, according to the failure states of the multiple tires mounted on the moving object 2. This makes it possible to reduce the burden on the user in processing in which the user selects appropriate work or processing by considering the failure states of each of the multiple tires.

[0088] Third embodiment Next, a third embodiment will be described. In the above-mentioned embodiments, the third embodiment considers predicting a tire failure state only from heat increase / decrease information of the tire 20 (for example, the slope of the heat history, which is the degree of increase / decrease of the heat history). Since the second embodiment has a configuration substantially similar to that of the first embodiment, the same parts are given the same reference numerals and detailed description will be omitted.

[0089] In the above embodiments, the failure state of a tire is predicted from heat increase / decrease information (e.g., the slope of the heat history, which is the degree of increase / decrease in the heat history) of the tire 20 attached to the moving body 2 and tire running information (e.g., the remaining tread depth) of the tire. The technology of the present disclosure is not limited to using both the heat increase / decrease information of the tire 20 and the tire running information of the tire when predicting the failure state of the tire. In the third embodiment, the technology of the present disclosure is applied to the case where the failure state of a tire is predicted from heat increase / decrease information (e.g., the slope of the heat history, which is the degree of increase / decrease in the heat history) of the tire 20 attached to the moving body 2.

[0090] That is, in this embodiment, tire running information such as remaining tread depth is not required to predict the failure state of a tire.

[0091] Specifically, the above-mentioned acquisition unit 500 only needs to acquire the tire temperature, which is tire heat information, as the value of the tire-related parameter of the tire 20 attached to the moving object 2. Furthermore, the calculation unit 502 uses the acquired tire heat information to calculate the heat history and the degree of increase or decrease in the heat history (tire heat increase or decrease information), and the control unit 504 predicts the failure state of the tire based on the calculated degree of increase or decrease in the heat history (slope of the heat history). Note that in this embodiment, the control unit 504 does not need to determine the tire state using the above-mentioned assistance determination map (FIG. 9).

[0092] Here, prediction of a tire failure state based on the degree of increase or decrease in thermal history (the gradient of thermal history) will be described.

[0093] Incidentally, prediction of a tire's failure state can be considered based on a thermal history such as the total amount of heat given to the tire. However, the failure state of a tire is considered to differ depending on the state of heat itself in the tire, and therefore, for example, the thermal history alone such as the total amount of heat is insufficient for predicting the failure state of a tire. For example, regarding the heat generated in a tire, a tire with a high degree of heat change in a given time and a tire with a low degree of heat change have a different failure risk.

[0094] Fig. 13 is a conceptual diagram showing the relationship between the thermal history gradient and the risk of tire failure. Fig. 13 shows that the greater the gradient of the thermal history, the higher the risk of tire failure. In other words, a tire with a greater gradient of the thermal history has a higher risk of failure than a tire with a smaller gradient of the thermal history (see also Fig. 7). As the risk of tire failure due to heat increases, the risk of peeling and smoke generation described above also increases.

[0095] Therefore, in this embodiment, a failure risk indicating the tire condition of the target tire corresponding to the degree of increase or decrease in the thermal history (the slope of the thermal history) is identified, and the failure risk indicating the identified tire condition is predicted as the tire failure condition.

[0096] In other words, by focusing only on the degree of increase or decrease in the heat generated in the tire over a given period of time, it is possible to obtain sufficient information to predict the state of failure of the tire. More specifically, when the temperature rises over a predetermined period of time (unit time), the state of failure of the tire is predicted from the amount and degree of change in the heat.

[0097] Considering the state where the above-mentioned peeling or smoke occurs due to frictional heat in the tire, when the amount or degree of change in heat, which is defined as a state where peeling or smoke does not occur, is small, the risk of failure is low, and when the amount or degree of change in heat is greater than the small amount or degree of change, that is, when the amount or degree of change in heat is rapid, the risk of failure is higher. Therefore, as the amount or degree of change in heat increases, it is possible to predict a failure state with a high risk of failure that causes rubber deterioration, etc. In this way, by using the degree of increase or decrease in the thermal history (the gradient of the thermal history), it is possible to predict the failure state of the tire with higher accuracy than when predicting the failure state of the tire using the total amount of heat received by the tire or a temporary temperature state such as the maximum temperature, as in the case of a simple thermal history.

[0098] In this embodiment, a value indicating the risk of failure, which increases as the rate of increase or decrease in thermal history (the slope of the thermal history) increases, is used as an index to predict the failure state of the tire.

[0099] The degree of increase or decrease in thermal history (the gradient of thermal history) corresponding to the tire state where the above-mentioned peeling or smoke occurs may be obtained in advance by measurement experiments or simulations, and the degree of increase or decrease in thermal history may be used as a boundary to classify into small regions such as small region AC. In this case, a threshold value for classifying the range of the degree of increase or decrease in thermal history (the gradient of thermal history) may be determined in advance, and the threshold value may be used as a boundary for classification. A map determined in this manner so as to be classifiable may also be used as a risk map instead of the above-mentioned determination map.

[0100] Next, a server process executed by the server 5 in this embodiment will be described. Fig. 14 is a flowchart showing an example of the flow of server processing according to this embodiment. The processing routine shown in Fig. 14 is an example of the flow of processing of the server program 55P stored in the server 5. Note that the server processing of this embodiment is similar to the flowchart shown in Fig. 10, but differs in that tire running information is not used when predicting the risk of tire failure.

[0101] As described above, in step S102, the CPU 50A as the acquiring unit 500 executes the process of acquiring data based on tire heat information (temperature data), which is a tire-related parameter, transmitted from the user terminal 3. In step S102, the same data as in step S100 is acquired, but is different in that only tire heat information (temperature data) data is acquired.

[0102] Next, in step S112, CPU 50A executes the process of calculating an index for predicting a failure risk of a tire including tire constituent members as calculation unit 502 as described above. That is, the CPU 50A calculates the thermal history and the gradient of the thermal history, which is the degree of increase or decrease in the thermal history (tire thermal increase or decrease information).

[0103] Next, in step S120, the CPU 50A as the control unit 504 predicts the failure state of the tire based on the degree of increase or decrease in the thermal history (the gradient of the thermal history) calculated in step S110. For example, the CPU 50A identifies the tire state of the target tire corresponding to the gradient of the thermal history using the relationship between the gradient of the thermal history and the tire failure risk (FIG. 13) or the risk map described above, and predicts the failure risk, which is the identified tire state, as the failure state of the tire.

[0104] In this way, according to the information processing system 1 of the present disclosure, it is possible to predict the failure state of a tire simply by considering the degree of increase or decrease in the heat generated in the tire, and it is possible to improve the accuracy of detecting tires with a high failure risk. By taking appropriate predetermined measures for the tire according to the predicted failure state of the tire in this way, it is possible to improve the durability of the tire. In addition, by considering the degree of increase or decrease in the heat generated in the tire, it is not impossible to predict the failure state of the tire, such as a state in which peeling or smoke occurs due to frictional heat in the tire. Therefore, in addition to improving durability, it is also possible to comprehensively treat the tire by considering the wear state of the tire, compared to a case in which the degree of increase or decrease in the heat history (the gradient of the heat history) is not considered. In particular, it is possible to perform tire processing by considering the wear state of the tire, compared to a case in which the failure state of the tire is predicted using a temporary temperature state such as the sum of the amount of heat received by the tire or the maximum temperature, such as a simple heat history.

[0105] As an example of a measure to be taken for a tire in response to the failure state of a tire for which the failure risk is predicted, tire rotation can be applied, which involves changing the positions of the front and rear tires attached to a moving object.

[0106] Incidentally, the above-mentioned moving body 2 such as a vehicle traveling in a mine is considered to be a moving body that transports items such as cuttings generated in a mine by loading them on the rear part. In the moving body 2, the tires attached to the rear (rear mounted tires) carry a larger load than the tires attached to the front of the moving body 2 (front mounted tires). In addition, for example, if there are driving wheels at the rear (rear) of the moving body 2, a traction load is also applied. Therefore, the load on the rear mounted tires is larger than that on the front mounted tires, and the risk of failure of the rear mounted tires is higher than that of the front mounted tires.

[0107] Therefore, in this embodiment, the configuration is such that it is possible to obtain data based on tire heat information (temperature data) from when the tire is mounted on the moving object 2 as data used to predict the failure state of the tire. In particular, it is possible to obtain data from when the tire mounted at the rear (rear-mounted tire) is mounted. In this way, the degree of increase or decrease in the heat history (the gradient of the heat history) is derived for the period from when the tire is mounted on the moving object 2. Note that the above data may be generated by associating the detected tire heat information (temperature data) with time information such as the date and time at the time of detection. Furthermore, the association of the time information may start when the tire is mounted.

[0108] Therefore, by using data after the tire is attached to the moving object 2, the initial data from the start of tire use is excluded, and data that mainly reflects the current tire state after the tire is attached to the moving object 2 can be focused on. Therefore, it is possible to predict the tire failure state according to the current tire state. In addition, compared to predicting the tire failure state including the initial data from the start of tire use, it is possible to reduce the amount of data, and it is possible to reduce the calculation load, the processing cost, and the amount of data communication. Furthermore, for example, at a mining site, the labor of operators on site can be reduced by reducing the amount of data, and it is possible to improve work efficiency.

[0109] Also, by acquiring only data after the rear tires (rear mounted tires) of the moving body 2 are mounted, it is possible to reduce data related to the front tires (front mounted tires) of the moving body 2, and further reduce the amount of data. Therefore, it is possible to further reduce the calculation load, the processing cost, and the amount of data communication. Furthermore, for example, at a mining site, by reducing the amount of data, the labor of the operator at the site can be further reduced, and further work efficiency can be achieved. Note that, although it is preferable to apply the rear tires as the tires using the data after they are mounted, it goes without saying that tires in other parts may be included. For example, only data after a tire that is applied or is expected to be applied with a larger load than other tires by loading luggage or the like on the moving body 2 is mounted may be acquired. In this case, multiple tires from tires with a large load to a predetermined load may be applied, or a combination with a rear tire may be applied. Also, tires of the driving wheels of the moving body 2 or multiple tires near the driving wheels and the driving wheels may be applied. In application to tires of the driving wheels of the moving body 2, the application to the rear tires is particularly effective in reducing the risk of tire failure.

[0110] The data used for the prediction can be used for an arbitrary period. The arbitrary period can be a predetermined time or a predetermined time specified by an operator. In addition, a specified period determined according to the increase / decrease rate of the thermal history (slope of the thermal history) and the running state of the mobile object 2 can be set as the arbitrary period. For example, when the slope of the thermal history is less than a predetermined threshold, it is assumed that the risk of failure of the tire does not increase sharply, and the data can be used for the period after the running distance of the mobile object 2 becomes a predetermined distance or more. In other words, the specified period can use data of a period according to conditions related to the running state of the mobile object, which corresponds to the conditions for the slope of the thermal history. In this way, by making it possible to set an arbitrary period as the data used for prediction, it is possible to increase the degree of freedom of the data used when predicting the failure state of the tire.

[0111] (Other embodiments) In the above embodiment, a case has been described as an example in which the server 5 acquires data from the user terminal 3, predicts a corresponding fault state, and outputs the fault state and instruction information from the prediction result to the user terminal 3. The instruction information may set the output timing and application timing of the instruction information based on the operation schedule of the mobile object 2 and the position information of the mobile object 2. Specifically, when the operation schedule of the mobile object 2, such as maintenance, is determined in advance, The instruction information for the current failure state may be a notice, and the instruction information may be information indicating that an inspection, tire rotation, or the like should be requested at the next maintenance.

[0112] Furthermore, the above-mentioned user terminal 3 and the server may be a common device. Furthermore, in the above, the malfunction state and instruction information corresponding to the data from the user terminal 3 are returned to the user terminal 3, but the function of the user terminal 3 may be installed in an on-board device of the moving object 2. In this way, it becomes possible for the moving object 2 to check the malfunction state and instruction information related to the tire mounted on the moving object 2.

[0113] (Modification) Next, a modification of the above-described embodiment will be described. The above-described technology for predicting a tire failure state is applicable to an autonomous haulage system (AHS). Therefore, an example of the case where the technology of the present disclosure is applied to an autonomous haulage system will be described as a modified example.

[0114] For example, when controlling a moving body using an automated navigation system (AHS), it is required to control the traveling of the moving body or to instruct the control of the traveling of the moving body so as to improve the traveling stability, traveling durability, etc. Therefore, the modified example includes making it possible to execute the traveling control of the moving body and to instruct the traveling control of the moving body based on the failure state of the tire.

[0115] Specifically, when the mobile body is controlled using an automatic navigation system (AHS), the mobile body 2 travels according to an external instruction, or travels autonomously or autonomously following. The mobile body, which is travel-controlled according to an external instruction, may acquire information indicating the above-mentioned tire failure state, and perform travel control according to the acquired information indicating the tire failure state. More specifically, the control unit 504 may be configured to include a providing unit that provides the mobile body 2 with information indicating the predicted tire failure state as described above. In this way, by providing information indicating the tire failure state to an automatic travel control device that controls the travel of the mobile body so that the mobile body travels autonomously based on the predicted tire failure state, it becomes possible to perform appropriate processing on the mobile body side, such as selecting a route or adjusting the speed of the mobile body so as to improve travel stability and travel durability.

[0116] In this case, for example, the providing unit may output information indicating the tire failure state to a display unit such as the display unit 33, 53. In this way, it becomes possible to check the tire failure state, and it is also possible to output the information as information for executing appropriate processing such as selecting a route or adjusting the speed of the moving object so as to improve the running stability and running durability, etc.

[0117] On the other hand, a moving body that is controlled to run by autonomous running or autonomous following may be configured to include an automatic running control device that controls the autonomous running as an information processing device. That is, the information processing device generates information indicating the above-mentioned tire failure state, and the automatic running control unit that controls the autonomous running controls the moving body so that the moving body runs autonomously while performing appropriate processing such as selecting a route and adjusting the speed of the moving body so that the running stability and running durability are improved according to the tire failure state. In this way, the automatic running control unit controls the running of the moving body so that the moving body runs autonomously based on the predicted tire failure state, thereby enabling the moving body to run autonomously while performing appropriate processing to improve the running stability and running durability.

[0118] As described above, by taking into account the failure state of the tire derived according to the heat generated in the tire, it is possible to automatically cause the mobile object 2 to travel automatically along at least one of the driving conditions, such as an optimal route and speed, or to automatically travel to a maintenance base where tire rotation, etc. is performed, or to automatically execute measures such as the above, or to instruct the execution of such measures.

[0119] Although the technology of the present disclosure has been described above using the embodiments, the technical scope of the technology of the present disclosure is not limited to the scope described in the above embodiments. Various modifications or improvements can be made to the above embodiments without departing from the gist of the technology, and the forms with such modifications or improvements are also included in the technical scope of the technology disclosed.

[0120] In the above embodiment, the processing is performed by executing the program stored in the auxiliary storage device, but at least a part of the processing of the program may be realized by hardware. The flow of the processing of the program described in the above embodiment is also an example, and unnecessary steps may be deleted, new steps may be added, or the processing order may be changed without departing from the scope of the invention.

[0121] Furthermore, in order to cause a computer to execute the processing in the above-described embodiment, a program describing the above-described processing in code that can be processed by a computer may be stored on a storage medium such as an optical disk and distributed.

[0122] In the above-described embodiment, a CPU has been used as an example of a general-purpose processor. However, in the above-described embodiment, the term "processor" refers to a processor in a broad sense, and includes general-purpose processors (e.g., CPU: Central Processing Unit, etc.) and dedicated processors (e.g., GPU: Graphics Processing Unit, ASIC: Application Specific Integrated Circuit, FPGA: Field Programmable Gate Array, programmable logic device, etc.).

[0123] Furthermore, the operations of the processors in the above-described embodiments may not only be performed by a single processor, but may also be performed by multiple processors working together, or may be performed by multiple processors located at physically separate locations working together.

[0124] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or standard was specifically and individually indicated to be incorporated by reference.

[0125] The SDGs have been proposed to realize a sustainable society. One embodiment of the present invention is thought to be a technology that can contribute to "No.9" and other goals. [Explanation of symbols]

[0126] 1. Information Processing Systems 2. Mobile 3. User terminal 5 Server 6 Network 20 Tires 22 Sensor Module 24 Onboard equipment 50 Computer main unit 51 Communications Department 52 Input section 53 Display section 55 Auxiliary storage device 55D Data 55P Server program 55T Table 500 Acquisition Department 502 Arithmetic unit 504 Control section

Claims

1. an acquisition unit that acquires a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object and tire running information relating to the running of the tires; a calculation unit that calculates tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire within a predetermined period of time based on the plurality of pieces of tire heat information acquired by the acquisition unit; a control unit that performs control to predict a tire failure state regarding a failure occurring in the tire based on the tire heat increase / decrease information calculated by the calculation unit and the tire running information acquired by the acquisition unit; and An information processing device comprising:

2. the plurality of tire heat information are heat histories indicating tire heats that change from moment to moment, the tire heat increase / decrease information is a degree of increase / decrease in the heat history indicating a degree of change in the heat history, and the tire running information is a remaining tread depth of the tire, The control unit performs control to predict the failure state using a correspondence relationship that associates the degree of increase or decrease in the thermal history and the remaining tread depth of the tire with information indicating a failure state occurring in the tire. The information processing device according to claim 1 .

3. the information indicating the failure state is associated with instruction information indicating an instruction for a process to be performed on at least one of the moving object and the tire; The control unit performs control to output instruction information corresponding to the predicted fault state. The information processing device according to claim 1 .

4. The acquisition unit acquires the tire heat information and the tire running information for each of a plurality of tires attached to the moving body, The calculation unit calculates the tire heat increase / decrease information for each of the plurality of tires acquired by the acquisition unit, The control unit predicts a failure state of each of the plurality of tires calculated by the calculation unit, and performs control to output instruction information to at least one of the tires based on the predicted failure states of the plurality of tires. The information processing device according to claim 3 .

5. The tire is a pneumatic tire, The tire temperature information is an internal temperature of the pneumatic tire, The tire running information is a tread thickness of the pneumatic tire. The information processing device according to claim 1 .

6. The computer Obtaining a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object and tire running information relating to the running of the tires; Calculating tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire over a predetermined period of time based on the acquired tire heat information; performing control to predict a tire failure state regarding a failure occurring in the tire based on the calculated tire heat increase / decrease information and the acquired tire running information; An information processing method for processing the above.

7. To your computer Obtaining a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object and tire running information relating to the running of the tires; Calculating tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire over a predetermined period of time based on the acquired tire heat information; performing control to predict a tire failure state regarding a failure occurring in the tire based on the calculated tire heat increase / decrease information and the acquired tire running information; An information processing program that processes information.

8. an acquisition unit that acquires a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object; a calculation unit that calculates tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire within a predetermined period of time based on the plurality of pieces of tire heat information acquired by the acquisition unit; a control unit that performs control to predict a tire failure state regarding a failure occurring in the tire based on the tire heat increase / decrease information calculated by the calculation unit; and An information processing device comprising:

9. The control unit performs control to predict the failure state based on the plurality of pieces of tire heat information after the tire is attached to the moving body. The information processing device according to claim 1 .

10. the control unit performs control to predict the failure state only for tires attached to a rear portion of the moving body, based on the plurality of pieces of tire heat information after the tires are attached to the rear portion of the moving body. The information processing device according to claim 1 .

11. The control unit performs control to predict the failure state based on the plurality of pieces of tire heat information at a predetermined time. The information processing device according to claim 1 .

12. The computer acquiring a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object; Calculating tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire over a predetermined period of time based on the acquired tire heat information; performing control to predict a tire failure state regarding a failure occurring in the tire based on the calculated tire heat increase / decrease information; An information processing method for processing the above.

13. To your computer acquiring a plurality of pieces of tire heat information indicating heat generated over time in tires attached to a moving object; Calculating tire heat increase / decrease information indicating a degree of increase / decrease in heat generated in the tire over a predetermined period of time based on the acquired tire heat information; performing control to predict a tire failure state regarding a failure occurring in the tire based on the calculated tire heat increase / decrease information; An information processing program that processes information.

14. A providing unit provides information indicating the failure state to an automatic driving control device that controls driving of the mobile body so that the mobile body autonomously drives based on the predicted failure state. The information processing device according to claim 1 .

15. providing information indicating the failure state to an automatic driving control device that controls driving of the mobile body so that the mobile body autonomously drives based on the predicted failure state; The information processing method according to claim 6, further comprising:

16. providing information indicating the failure state to an automatic driving control device that controls driving of the mobile body so that the mobile body autonomously drives based on the predicted failure state; The information processing program according to claim 7, further comprising:

17. and an automatic driving control unit that controls the traveling of the moving body so that the moving body travels autonomously based on the predicted failure state. The information processing device according to claim 1 .

18. controlling travel of the mobile body so that the mobile body travels autonomously based on the predicted failure state; The information processing method according to claim 6, further comprising:

19. controlling travel of the mobile body so that the mobile body travels autonomously based on the predicted failure state; The information processing program according to claim 7, further comprising:

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