Information processing device, information processing method, and information processing program
The information processing device predicts tire performance changes based on thermal and weather data, addressing tire deterioration variability by optimizing vehicle operations for effective tire usage.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- BRIDGESTONE CORP
- Filing Date
- 2024-11-29
- Publication Date
- 2026-06-10
Smart Images

Figure 2026095133000001_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to an information processing apparatus, an information processing method, and an information processing program.
Background Art
[0002] Tires mounted on a moving body deteriorate according to driving due to the movement of the moving body. For example, the tire deteriorates according to the state of the road surface on which the moving body travels and the tire temperature. Regarding tire deterioration, there is known a technique for measuring the tire internal pressure and the tire temperature and calculating the degree of deterioration of the current tire (see, for example, Patent Document 1).
[0003] Also, in a mining machine traveling on a mine road, there is known a technique for changing the speed limit when the mining machine travels on a road corresponding to road information using information regarding the precipitation in the mine (see, for example, Patent Document 2).
Prior Art Documents
Patent Documents
[0004]
Patent Document 1
Patent Document 2
Summary of the Invention
Problems to be Solved by the Invention
[0005] Incidentally, at work sites such as quarries and mines, it is sometimes necessary to proceed with work regardless of the time of day or the weather at the work site. The temperature of tires mounted on mobile vehicles changes depending on the working time, such as daytime and nighttime, and the weather conditions at the work site, such as rain and climate. As a result, the heat generated in the tires differs, and the deterioration of the tires also differs. Therefore, if work is carried out in an environment that suppresses tire deterioration due to the heat generated in the tires, the deterioration of the tires will be suppressed compared to when work is carried out in a predetermined environment. On the other hand, if work is carried out in an environment that promotes tire deterioration due to the heat generated in the tires, the deterioration of the tires will progress compared to when work is carried out in a predetermined environment. Consequently, the tire performance, such as the usable period (also called life) of the tires, will not be uniform and will differ depending on the environment in which work is carried out with the mobile vehicle. For example, in an environment where tire deterioration is accelerated, there is a risk that the tire life will be shortened from the initial tire life when the tires were mounted on the mobile vehicle, and there are challenges in how to use the tires effectively. Therefore, there is room for improvement in checking the tire performance of tires mounted on mobile vehicles. Furthermore, even when controlling a moving object using an Autonomous Haulage System (AHS), it is necessary to check the tire performance of the tires mounted on the moving object based on the environment.
[0006] This disclosure aims to provide an information processing device, an information processing method, and an information processing program that can confirm the tire performance related to the driving of a moving object, taking into account the heat generated when the tire is running and the weather conditions that affect the tire temperature. [Means for solving the problem]
[0007] The first aspect of this disclosure is, An acquisition unit that acquires tire thermal information indicating the heat generated in the tires attached to a moving object, and weather information relating to the weather that affects the heat generated in the tires, Based on the tire thermal information and weather information acquired by the acquisition unit, the identification unit identifies tire thermal degradation information indicating the deterioration state related to the heat of the tire, A control unit that performs control based on the tire thermal degradation information identified by the specified unit to predict a second tire performance, which is a tire performance that shows the potential capacity of the tire that has changed due to the degradation state, from a first tire performance, which is a predetermined tire performance for the tire in relation to the running of the moving body, It is an information processing device.
[0008] The second aspect is an information processing apparatus of the first aspect, The acquisition unit acquires the temperature of the tire as the heat generated in the tire, The identifying unit calculates the temperature of at least a portion of the tire using the tire thermal information, and identifies the tire thermal degradation information based on the calculated information indicating the temperature of at least a portion of the tire.
[0009] The third aspect is an information processing apparatus of the first or second aspect, The acquisition unit acquires information regarding the moving body that applies a load to the tire, The specified unit identifies the tire thermal degradation information based on the information including the acquired information regarding the moving body.
[0010] The fourth aspect is an information processing device according to any one of the first to third aspects, The acquisition unit acquires information indicating the wear state of the tire, The identification unit identifies the tire thermal degradation information based on the information obtained by the acquisition unit, which includes information indicating the wear state of the tire.
[0011] The fifth aspect is an information processing device according to any one of the first to fourth aspects, The control unit performs control to output information indicating the potential capability represented by the second tire performance. Furthermore, the control unit can calculate the speed of the moving body determined by the performance of the second tire and present the calculated speed as an upper limit. Furthermore, the control unit can calculate the load capacity of the moving body determined by the performance of the second tire, and present the calculated load capacity as an upper limit.
[0012] The sixth aspect is an information processing device according to any one of the first to fifth aspects, The acquisition unit acquires information indicating a predetermined operation plan for operating the mobile body, The control unit performs control to output information indicating a candidate operation plan that drives the mobile body with tire performance within the second tire performance, based on the information including the operation plan information acquired by the acquisition unit. Furthermore, the control unit can determine from among the multiple paths a path that allows the mobile body to travel with tire performance within the performance limits of the second tire.
[0013] The seventh aspect is an information processing device according to any one of the first to sixth aspects, A calculation unit calculates control information indicating that control is performed on the movement of the moving body based on information indicating the second tire performance predicted by the control unit, A control information output unit outputs the control information to an automatic driving control device that controls the movement of the mobile body so that the mobile body moves autonomously according to the control information derived by the calculation unit, Includes.
[0014] The eighth aspect is, Computers The system acquires tire thermal information indicating the heat generated in the tires attached to the moving object, and weather information relating to the weather that affects the heat generated in the tires. Based on the acquired tire thermal information and weather information, tire thermal degradation information indicating the deterioration state of the tire's thermal properties is identified. Based on the identified tire thermal degradation information, control is performed to predict a second tire performance, which is the potential capability of the tire that has changed due to the degradation state, from a first tire performance, which is a predetermined tire performance for the tire, in relation to the movement of the moving body. An information processing method for processing the following.
[0015] A ninth aspect is to cause a computer to acquire tire heat information indicating heat generated in a tire attached to a moving body and weather information regarding the weather that affects the heat generated in the tire, specify tire heat deterioration information indicating a deterioration state regarding the heat of the tire based on the acquired tire heat information and weather information, perform control to predict a second tire performance, which is a tire performance indicating a potential ability possessed by the tire changed due to the deterioration state from a first tire performance, which is a predetermined tire performance for the tire regarding the running of the moving body, based on the specified tire heat deterioration information, An information processing program for causing the following to be processed.
Advantages of the Invention
[0016] According to the present disclosure, there is an effect that it is possible to confirm the tire performance regarding the running of a moving body possessed by the tire in consideration of the heat generated during tire running and the weather that affects the temperature of the tire.
Brief Description of the Drawings
[0017] <00001This figure shows an example of a deterioration risk assessment map. [Figure 9] This flowchart shows an example of the processing flow in a server device. [Figure 10] This is a conceptual diagram illustrating an example of a mobile vehicle operation plan. [Modes for carrying out the invention]
[0018] Hereinafter, embodiments for realizing the technology of this disclosure will be described in detail with reference to the drawings. Furthermore, components and processes that perform the same function or action are given the same reference numerals throughout all drawings, and redundant explanations may be omitted as appropriate. In addition, this disclosure is not limited in any way to the embodiments described below, and can be implemented with appropriate modifications within the scope of the purpose of this disclosure. <Information Processing System>
[0019] Figure 1 is a diagram showing the schematic configuration of information processing system 1. Information processing system 1 is a system that collects information related to the tires attached to the mobile body 2 and processes information related to the tire condition of the tires. As an example of the mobile body in this disclosure, we will explain the case in which a vehicle traveling in a mine is used as mobile body 2. As shown in Figure 1, 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. Server 5 is an example of an information processing device in this disclosure.
[0020] The user terminal 3 and the server 5 are interconnected via a network 6. Network 6 is any network that can be connected by wired or wireless means, such as a telephone line, LAN, WAN, the internet, or a wide-area Ethernet network. Network 6 may also be configured to connect the mobile device 2 to the network, equipped with a communication device (not shown), so that information can be exchanged between the mobile device 2 and the network.
[0021] Furthermore, the information processing system 1 may be implemented using a network environment that includes a virtual network on a virtual space known as a cloud, where some networks and some or all devices are virtualized. For example, server 5 may be formed on a virtual space known as a cloud, and client terminals known as a client-server system may be connected to server 5 via network 6 to operate server 5. In addition, to ensure redundancy of the information processing system 1, multiple servers 5 may be connected via the network.
[0022] Furthermore, Figure 1 shows an example in which a user terminal 3 is connected to network 6. This disclosure is not limited to the connection of one user terminal 3 to the network, and multiple terminal devices may be connected as user terminals 3. For example, user terminals 3 may include one or more terminals located within the same company or branch office. As an example of multiple user terminals 3, a worker terminal used by a user who is a worker performing work related to mobile objects and tires, an administrator terminal used by a user who is an administrator managing the work, and an administrator terminal used by a user who is the overall supervisor overseeing the work may be provided and configured to cooperate.
[0023] Incidentally, the lifespan of the tires attached to the mobile body 2 varies depending on factors such as heat generation in the tires and tire loads such as the load applied to the tires by the mobile body 2. For example, a tire that generates more heat than other tires will have a shorter lifespan. Also, a tire that is subjected to a larger load than other tires will have a shorter lifespan. These heat generation and loads in the tires change according to the movement of the mobile body 2 to which the tires are attached, i.e., driving. Therefore, in this embodiment, tire performance, which indicates the potential of the tire in relation to the movement of a moving object, is derived based on physical quantities measured by sensors or calculated physical quantities related to heat generation and load in the tire (details will be described later).
[0024] In this disclosure, "tire" refers to an elastically deformable member attached to a moving body 2, such as a vehicle traveling through a mine, and includes members that are detachable from the moving body 2. Such tires include pneumatic tires.
[0025] Tire thermal information is an example of a physical quantity that indicates the tire state related to the heat generated in the tire, such as heat generation, and is a concept that includes at least the tire temperature. Tire thermal information can include internal pressure such as the air pressure of a pneumatic tire, and the internal temperature of a pneumatic tire. In other words, for example, physical quantities that indicate the thermal state of tire components can be applied to tire thermal information. Examples of tire components include the bead, carcass, belt, and tread rubber. Furthermore, for example, the temperature of the tire components can be applied as a physical quantity that indicates the thermal state of the tire components.
[0026] The temperature of a tire can vary depending on its components and location. The temperature of a tire's components can be calculated, for example, by installing a temperature sensor in a chamber (i.e., the space between the inner surface of the tire and the rim wheel), measuring the temperature inside the chamber (e.g., the internal tire temperature), and converting the measured temperature inside the chamber to the temperature of each tire component. For example, by using a predetermined calculation formula to convert the temperature inside the chamber to the temperature of each tire component (tread, belt, bead, etc.), the temperature of each component (tread, belt, bead, etc.) can be calculated from the measured temperature inside the chamber. Alternatively, the temperature of each tire component such as the tread, belt, and bead can also be calculated by adding a certain constant based on past data to the measured temperature inside the chamber.
[0027] Furthermore, tire temperature can be derived using other analytical methods, such as the finite element method. This analytical method allows for the prediction of temperatures in different parts of the tire. For example, a tire model, which is a stress analysis model that divides the tire into a finite number of elements, can be used to predict temperatures in different parts of the tire. Specifically, a stress analysis model including a three-dimensional tire model, which divides the tire into a finite number of elements, can be used to calculate the temperature distribution of different parts of the tire, such as the surface and interior, from the temperature of a portion of the tire (e.g., the internal temperature).
[0028] When calculating tire temperature using a tire model, which is a stress analysis model, it is possible to apply a configuration that uses a system employing the tire temperature distribution prediction method described in Japanese Patent Publication No. 2007-210528. Each of the disclosures of Japanese Patent Publication No. 2007-210528 is incorporated herein by reference in whole.
[0029] Furthermore, the aforementioned relationship between, for example, the internal tire temperature and the temperature of each part of the tire may be determined by applying predetermined data without using the analysis method described above. For example, measurement data of the temperature of each part of the tire relative to the internal tire temperature can be stored for each type of tire, and the stored measurement data for each part corresponding to the target tire type can be applied as the temperature of each part of the tire relative to the internal tire temperature.
[0030] Furthermore, as mentioned above, tire temperature is affected by the weather, which is the surrounding environment of the tire. Therefore, the weather, which is the surrounding environment of the tire, can be taken into consideration. For example, the amount of thermal energy supplied to or removed from the tire changes depending on the weather at the location where the tire is placed, for example, the location of the moving object 2. For this reason, by taking the weather into consideration, it is possible to derive the tire temperature that changes with the weather, and it is possible to derive the tire temperature more accurately than when the weather is not taken into consideration.
[0031] In this disclosure, weather information is a concept that includes physical quantities that indicate the external environment of the tire, which may affect the thermal properties of the tire, such as tire temperature. For example, weather information includes environmental information such as temperature. Environmental information may also include humidity at that temperature. Environmental information may also include weather conditions such as rain and snow, and precipitation in those conditions. At least one piece of information indicated by the weather information can be information obtained by a measuring device not shown in the figure in real time. Furthermore, weather information may also be information obtained by predicting weather using a known prediction algorithm, and information from prediction results such as weather forecasts that predict the weather. Thus, it is possible to derive the tire temperature that changes in real time due to weather, and the tire temperature that changes due to predicted weather, in real time and at predetermined times (e.g., year, month, day, time, and season).
[0032] Weather information may include environmental information such as sunshine duration and time zones. In other words, weather information may be associated with predetermined times or time zones. For example, information indicating the applicable time and period can be associated with weather information. Information for predetermined times can be applied to predetermined times, days, months, and years. Furthermore, information for predetermined times can be applied to seasons such as spring, summer, autumn, and winter.
[0033] The tire condition information (tire information) described above may include not only tire thermal information such as tire temperature, but also information such as remaining tread depth (RTD), which is the amount of change in the tire structure that changes due to driving. Other examples of changes in tire structure include the thickness of the tire tread and changes in the degree of wear of the tire tread, such as wear and uneven wear. As for the measurement unit for the tire condition, for example, the remaining tread depth may be directly measured by a measurement sensor, or it may be derived from an image taken with a camera, etc. Changes in the degree of wear of the tire tread may be directly measured by a measurement sensor, or it may be derived from an image taken with a camera, etc.
[0034] In this embodiment, it is possible to apply a thermal history, which shows the moment-by-moment changes in tire temperature, as tire thermal information. The thermal history shows the change characteristics of tire temperature measured over time, and can be calculated, for example, by integrating the tire temperature measured over time with tire running time. The thermal history can correspond to the degree of deterioration of the tire, including its components. Tire thermal information and thermal history can be used as an example of an indicator when predicting the risk of deterioration of the tire, including its components.
[0035] Furthermore, tire thermal information, such as tire temperature, is affected by the movement of the mobile body 2 on which the tire is mounted. Therefore, it is also possible to consider the mobile body information of mobile body 2. Mobile body information includes the weight of mobile body 2 and tire loads such as loads. Mobile body information is a concept that includes physical quantities indicating the load applied to the tire by mobile body 2.
[0036] <Mobile> Figure 2 is a conceptual diagram showing an example of a mobile vehicle 2 that travels through a mine. Figure 2 conceptually shows a configuration that includes an on-board device 24 for collecting tire heat information, etc.
[0037] In this embodiment, the mobile body 2 is equipped with a total of six tires 20, one tire on each of the front left and right sides, and two tires on each of the rear left and right sides. Each tire 20 is equipped with a sensor module 22. The sensor module 22 measures the tire state, that is, acquires and transmits tire thermal information. In addition to tire thermal information, the sensor module 22 may also measure information related to driving. In this embodiment, the sensor module 22 at least measures and transmits tire thermal information indicating the internal temperature of the tire. In Figure 2, the tires 20 and sensor modules 22 are labeled according to their position on the mobile body 2. Specifically, the tire located on the front right side in the direction of travel of the mobile body 2 is indicated as tire 20(FR), and the tire located on the front left side is indicated as tire 20(FL). Furthermore, of the two tires 20 located 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, for the two tires 20 located on the rear left side, the outer tire is indicated as tire 20(BLO) and the inner tire as tire 20(BLI). In the following description, when a tire is described according to its position on the mobile body 2, it will be denoted by a reference numeral; otherwise, it will be described collectively as tire 20 and sensor module 22.
[0038] In this embodiment, the case in which the mobile body 2 has six tires 20 is described, but the technology of this disclosure is not limited to this. For example, it is applicable to a mobile body 2 having three or more tires 20. Preferably, it is applicable to a mobile body 2 having four to ten tires 20, and is also applicable to a mobile body 2 having ten or more tires 20. Furthermore, the arrangement of the tires 20 on the mobile body 2 is not limited to arranging an equal number on the left and right sides, but the number may be determined according to the position in which they are arranged on the mobile body 2. Moreover, the arrangement of the tires 20 is not limited to arranging them in the front, rear, left, and right directions. For example, the tires 20 may be arranged in the center between at least one of the front, rear and left, or left and right directions.
[0039] The mobile unit 2 is equipped with an on-board unit 24 that collects and transmits information related to the tires (e.g., temperature data). The on-board unit 24 acquires information from each sensor module 22. The sensor module 22 is attached to the wheel of the tire 20, or to the vehicle body inside or outside the tire, and measures the temperature of at least the tire 20 and transmits the measured temperature data to the on-board unit 24.
[0040] The on-board unit 24 receives temperature data for each tire sent from the sensor module 22 and controls the transmission of the temperature data of the tire associated with its mounting position to the outside of the mobile unit 2. The mounting position of a tire can be identified from a correspondence table that associates the mounting position of a tire with the unique identification code of the sensor module 22 for that tire. The on-board unit 24 includes an electronic control unit (ECU), a transmitting and receiving unit, and memory (not shown). The memory (not shown) can record the correspondence table that associates the mounting position of a 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 on-board unit 24 can also have a function to output the log recorded in the memory (not shown) to the outside of the mobile unit 2.
[0041] In this embodiment, the in-vehicle unit 24 acquires and records temperature data from the sensor module 22 (tire internal temperature, which is an example of tire thermal information), and outputs the temperature data to the outside of the mobile unit 2. However, this disclosure is not limited to this. For example, the data from the sensor module 22 may be output directly to an external device such as a server 5 via the network 6 without going through the in-vehicle unit 24. In this case, the correspondence table for the sensor module 22 may also be stored in a device included in the information processing system 1 (for example, a server 5) instead of being stored in the in-vehicle unit 24.
[0042] Furthermore, the tire temperature data is accompanied by time information transmitted from the sensor module 22. This makes it possible to identify the date and time of the tire temperature data.
[0043] Furthermore, the on-board unit 24 may acquire and transmit mobile body information, such as the weight of the mobile body 2 and tire loads. The on-board unit 24 may also acquire and transmit at least one of the following as tire information: tire mileage (e.g., information related to driving such as tire mileage, mileage, and tire rotation speed) and changes in tire structure (e.g., remaining tread depth, degree of wear). Note that this information is not limited to being acquired by the on-board unit 24. For example, it may be measured and acquired by an external device of the mobile body 2.
[0044] Figure 3 is a cross-sectional view showing an example of the configuration of the tire 20. Figure 3 shows typical tire components of the tire 20: the tire tread TR, tire belt BL, and carcass CS. Information related to the tire 20 (for example, remaining groove depth, degree of wear, and temperature data of the tire 20) is measured by a measuring unit 34 (Figure), such as a measuring device or sensor module 22.
[0045] <User terminal> Next, an example of the terminal configuration in the information processing system 1 according to this embodiment will be described. Figure 4 shows an example of the configuration of user terminal 3. User terminal 3 is a terminal device installed at a base (for example, a management base that manages the condition of tires) that performs processing on tires attached to a mobile body 2 such as a vehicle. A user operating user terminal 3 performs processing on the tire based on the tire's condition. User terminal 3 transmits tire-related information (for example, tire heat information, driving information, etc.) to server 5 and receives a reply from server 5 in return. User terminal 3 can be a general-purpose computer device such as a personal computer (PC).
[0046] The user terminal 3 is equipped with a computer main unit 30, which includes a CPU 30A, RAM 30B, ROM 30C, and I / O 30D, all of which are connected to each other via a bus 30E. An auxiliary storage device 35, which can be implemented using an HDD or non-volatile flash memory, is connected to the bus 30E. In addition, a communication unit 31 for communicating with external devices, an input unit 32 for the user to input data, and a display unit 33 for the user to confirm the data are connected to the I / O 30D.
[0047] The auxiliary storage device 35 is capable of storing the user terminal program 35P. The user terminal 3 reads the user terminal program 35P from the auxiliary storage device 35, loads it into the RAM 30B, and executes the processing. As a result, the user terminal 3, having executed the user terminal program 35P, operates as a device that processes the tire status of the tires at the base station. The user terminal program 35P may also be provided on a recording medium such as a CD-ROM.
[0048] Furthermore, the auxiliary storage device 35 stores various types of data 35D used by the user terminal 3.
[0049] The communication unit 31 can acquire information from the on-board unit 24 of the mobile unit 2, namely tire temperature data, which is tire heat information, via a wired or wireless connection.
[0050] The I / O 30D mentioned above can be connected to a measurement unit 34 for measuring tires. Connecting the measurement unit 34 to the user terminal 3 is not mandatory. For example, input may be made from the input unit 32 instead of the measurement unit 34.
[0051] <server> Next, we will explain an example of the configuration of server 5 with reference to Figure 5. Server 5 is an example of a server device connected to network 6, which has the function of acquiring information from user terminal 3 (for example, tire thermal information such as tire temperature) and transmitting information to support the user's work. As will be described in detail later, the information to support the user's work can include information indicating tire performance corresponding to the acquired information from user terminal 3 (tire temperature, etc.), and information to support the operation plan of mobile body 2 related to the movement of mobile body 2.
[0052] Server 5 comprises a computer unit 50, which includes a CPU 50A, RAM 50B, ROM 50C, and I / O 50D, all of 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 for communicating with devices on the network 6, an input unit 52 for user data input, and a display unit 53 are connected to the I / O 50D. Note that if Server 5 is configured to be operable by a client terminal (not shown), the input unit 52 and the display unit 53 are not mandatory.
[0053] The auxiliary storage device 55 stores various data 55D used by the server 5. The auxiliary storage device 55 also stores a table 55T containing information to support user operations, and a server program 55P. The table 55T will be described later.
[0054] Server 5 reads the server program 55P from the auxiliary storage device 55, loads it into RAM 50B, and executes the processing. After executing the server program 55P, Server 5 operates as an information processing device that outputs information to support the user's work in response to information from the user terminal 3.
[0055] Figure 6 is a block diagram showing an example of the functional configuration of server 5 according to this embodiment. As shown in Figure 6, the CPU 50A of the server 5 functions as an information processing device of the present disclosure by executing the server program 55P. The information processing device includes functional units that function as an acquisition unit 500, an arithmetic unit 502, and a control unit 504, respectively. The acquisition unit 500 is an example of an acquisition unit in this disclosure. The calculation unit 502 is an example of a specification unit in this disclosure. The control unit 504 is an example of a control unit in this disclosure.
[0056] The acquisition unit 500 has the function of acquiring information related to the tire. That is, the acquisition unit 500 can acquire information related to the tire as initial information at the time when the tire performance is derived. The information related to the tire includes tire information, including the tire thermal information (e.g., internal tire temperature) mentioned above, mobile body information (e.g., load), and weather information (e.g., air temperature). The acquisition of tire temperature (internal tire temperature), which is the tire thermal information of tire 20, can be performed for each of the multiple tires attached to the mobile body 2.
[0057] Furthermore, the acquisition unit 500 may have a function to acquire operational information of the mobile body 2 in order to support the user's work. Operational information is an example of information that shows an operational plan that achieves the amount of work desired by the user through work performed by the mobile body (e.g., movement or transportation). Operational information is information that is represented by physical quantities such as the operational route, the gradient along the operational route, and the road surface condition along the operational route. The operational route includes route information that shows the path from a first point on which the mobile body 2 travels to a second point different from the first point. The path from the first point to the second point, as shown by the route information, may be a single path or a series of paths passing through multiple points.
[0058] The calculation unit 502 is a functional unit that identifies the deterioration state related to the heat of the tire and calculates a deterioration index that indicates the tire's deterioration risk as the deterioration state. Specifically, the calculation unit 502 calculates the thermal history using the tire thermal information and weather information acquired by the acquisition unit 500, and calculates the deterioration index from the calculated thermal history. The thermal history shows the change characteristics of the tire temperature measured over time. Furthermore, the calculation unit 502 can calculate the thermal history for each part of the tire. For example, the calculation unit 502 can calculate the thermal history for each component material of the tire, such as the tread, carcass, and belt.
[0059] The calculation unit 502 can estimate the temperature of the tire for each component material by, for example, using the tire model, which is the stress analysis model described above. It is preferable to specify the thermal degradation state of the tire for each component rather than assuming the entire tire. That is, considering the lifespan of the tire, it is preferable to predict the thermal state, i.e., the temperature state of the tire, in parts where the degradation state is more likely to affect durability than other components. For example, the belt end is considered to be a part that is more likely to be affected by the degradation state than the carcass. Therefore, it is preferable for the calculation unit 502 to specify the degradation state in the belt, and even more preferable to specify the degradation state at the belt end.
[0060] As the mobile vehicle 2 travels, the tires undergo rubber degradation due to heat. Therefore, the thermal history experienced during travel can be considered as rubber degradation, i.e., the state of tire degradation. For example, if a temperature analysis is performed for each component material of the tire using the above tire model, and the result is obtained that the temperature at the belt end is higher than the internal tire temperature by a predetermined amount, then the temperature obtained as the tire temperature can be set to be the temperature at the belt end by a predetermined amount higher than the internal tire temperature, and this can be applied to the thermal history. Then, the temperature history at the belt end can be calculated from the acquired thermal history of the internal tire temperature, and the state of degradation and the degree of degradation in the calculated temperature history can be identified.
[0061] The calculation unit 502 then uses weather information to calculate the degree to which it affects the tire's thermal history or the risk of tire deterioration. Specifically, for example, higher temperatures result in tire conditions such as reduced heat dissipation from the tire and a higher minimum tire temperature, thus creating unfavorable conditions for tire heat dissipation, as higher temperatures negatively impact the risk of tire deterioration. On the other hand, favorable conditions for tire heat dissipation include the cooling of the tire by heat absorbed when the tire comes into contact with liquid, such as in rainy weather, and by the heat of vaporization when the liquid vaporizes.
[0062] Therefore, by associating weather information with tire temperature, it is possible to store detailed information related to the tire's deterioration state. Consequently, weather information can be used as data indicating how weather conditions in the environment that result in the tire temperature affect the tire temperature. Weather information can be used to indicate the degree of influence of increases or decreases from a threshold, for example, an average temperature. Weather information such as precipitation can be used to indicate the degree of influence of increases or decreases from a threshold, such as when precipitation is 0 in a sunny environment. Weather information can also be stored in association with thermal history.
[0063] Alternatively, instead of calculating the thermal history as described above, a calculation of the degree of change in the thermal history may be applied. The degree of change in the thermal history represents the rate of change (slope of the thermal history) of the tire temperature change characteristics shown in the thermal history.
[0064] Furthermore, the calculation unit 502 can use moving body information indicating tire load, such as weight, to calculate the degree to which it affects the tire's thermal history or the risk of tire deterioration. Loading items such as minerals onto the moving body 2 changes the load applied to the tire (tire load), which in turn changes the heat generated in the tire. Therefore, the calculation unit 502 can derive the heat generated in the tire according to the tire load, that is, it can calculate the heat for each part of the tire. Thus, the calculation unit 502 can calculate the thermal history for each part of the tire, such as the tread, carcass, and belt, taking the tire load into consideration.
[0065] The deterioration indicators for the tire deterioration risk described above can be predicted based on the thermal history (e.g., the slope of the thermal history) and the tire condition history (e.g., the remaining tread depth). Specifically, the tire condition of the target tire corresponding to the thermal history (e.g., the slope of the thermal history) and the tire condition history (e.g., the remaining tread depth) can be predicted as the tire deterioration state.
[0066] Here, we will explain how to predict the deterioration state of tires. Figure 7 is a conceptual diagram illustrating the characteristics of a tire's thermal history. Figure 7 shows the characteristics of two types of thermal history: one with a large thermal history slope and another with a small thermal history slope. Figure 7 also shows the relationship between the thermal history and the tire's state as it changes over time, such as the remaining tread depth. The remaining tread depth shown in Figure 7 could be other tire conditions, such as mileage. When the sum of the thermal history is applied as the thermal history, tires with a large sum of thermal history have a higher risk of deterioration than tires with a small sum of thermal history. In other words, tires with a large sum of thermal history have a higher risk of deterioration than tires with a small sum of thermal history. Furthermore, when the slope of the thermal history is applied as the thermal history, the risk of tire deterioration increases as the slope of the thermal history increases. In other words, tires with a large slope of thermal history have a higher risk of deterioration than tires with a small slope of thermal history.
[0067] As the tire 20 is driven, heat accumulates, causing separation between the tread and the belt, and generating smoke due to the heat. Therefore, it is preferable to identify the deterioration state of the tire before separation or smoke occurs in the tire 20 to reduce the risk of deterioration. In this embodiment, the tire condition of the target tire, corresponding to the thermal history (e.g., the slope of the thermal history) and the tire condition history (e.g., the remaining tread depth of the tire), is derived as a deterioration index for the risk of tire deterioration. It should be noted that the deterioration state of the tire may also be identified from the thermal history alone. For example, if it is possible to identify the deterioration state of the tire when the thermal history meets predetermined characteristics, the deterioration state of the tire can be identified without considering the tire condition such as the remaining tread depth.
[0068] Figure 8 shows an example of a deterioration risk assessment map. The assessment map shown in Figure 8 is pre-stored in table 55T. The assessment map defines the deterioration state of a tire in a coordinate space where the vertical axis represents thermal history and the horizontal axis represents tire condition (e.g., remaining tread depth). The vertical axis may be the sum of the thermal history or the degree of increase or decrease in the thermal history (slope of the thermal history).
[0069] Specifically, the judgment map is classified into sub-regions A, B, and C, which indicate the risk of tire deterioration. The risk of tire deterioration can be measured using thermal risk. Specifically, sub-region A is the region to which tires 20 with the greatest thermal risk belong. For example, this region includes tires 20 that may experience thermal deterioration such as smoke generation (e.g., smoke failure), which is an example of thermal deterioration such as sudden thermal failure. Sub-region B is the region to which tires 20 with a moderate level of deterioration risk (thermal risk) belong. For example, this region includes tires 20 that may experience thermal deterioration such as delamination inside the tire (e.g., separation failure), even though smoke is not generated inside the tire 20. Sub-region C is the region to which tires 20 with an even lower deterioration risk (thermal risk) belong. For example, this region includes tires whose deterioration risk is likely to lead to a normal level of failure (normal failure), and includes tires 20 that deteriorate due to usage conditions and age. These subregions are classified using thresholds R1, R2, and R3, which classify the range of remaining tire tread depth into multiple categories, and thresholds th1 and th2, which classify the range of increase or decrease in thermal history (slope of thermal history) into multiple categories.
[0070] The thresholds R1, R2, and R3 can be determined using a first value Ra, which is determined from a predetermined value (e.g., upper limit) of the remaining tread depth at which smoke is predicted to occur in the tire 20, and a second value Rb, which is determined from a predetermined value (e.g., upper limit) of the tire condition (e.g., remaining tread depth) at which delamination is predicted to occur in the tire 20 and which is greater than the first value Ra. Furthermore, the thresholds th1 and th2 can be determined using a predetermined value (e.g., upper limit) of the thermal history of a tire in the normal degree of deterioration described above, and a predetermined value (e.g., lower limit) of the thermal history of a tire in a deteriorated state at which smoke occurs in the tire 20.
[0071] Therefore, these identical sub-regions are organized in the judgment map, and a region consisting only of sub-region A is designated as region ErA. Similarly, a region consisting only of sub-region B is designated as region ErB, and a region consisting only of sub-region C is designated as region ErC. It is also possible to set up a region ErAB by integrating regions ErA and ErB as a region where there is a high probability that smoke will be generated from the tire 20 or that delamination will occur inside the tire 20.
[0072] Therefore, the calculation unit 502 uses the judgment map (Figure 8) to derive the deterioration state of the target tire as a deterioration index for tire deterioration risk from the tire's thermal history and tire condition (e.g., remaining tread depth). That is, for the target tire 20, the calculation unit 502 derives an index as a deterioration index that shows regions ErA, ErB, and ErC (and possibly region ErCe) as shown in the judgment map (Figure 8). Note that the predetermined values and thresholds described above are not limited to those above, and may be a predetermined range, or multiple values may be set in steps.
[0073] Furthermore, the degradation index for degradation risk is not limited to being calculated by the calculation unit 502 described above. For example, it may be manually entered by the user. Alternatively, the degradation index for degradation risk may be calculated using tire thermal information acquired by the acquisition unit 500. In this case, the calculation by the calculation unit 502 is not mandatory and can be omitted.
[0074] The degradation index described above may be derived for each tire 20 mounted on the mobile body 2, or a degradation index for a representative tire on the mobile body 2 may be applied. The degradation risk of the tires 20 on the mobile body 2 increases in the order of tires belonging to region ErC, region ErB, and region ErA. For this reason, the degradation index of the tire with the highest degradation risk among the tires 20 mounted on the mobile body 2 may be used as the degradation index for the mobile body's tires.
[0075] The control unit 504 is a functional unit that performs control to predict tire performance. Specifically, the control unit 504 predicts a second tire performance, which indicates the potential capacity of the tire that has changed due to the deterioration state, from a predetermined first tire performance, based on the tire thermal deterioration state (tire thermal deterioration information) identified as described above.
[0076] A tire has a predetermined tire performance at its initial stage, for example, when it is shipped. For example, TKPH (ton-kilometers per hour) is a known indicator of tire performance. This tire performance changes depending on the deterioration state of the tire's thermal properties. For example, it changes from the initial first tire performance to a second tire performance based on the thermal history corresponding to the movement of the moving body 2. Therefore, the control unit 504 predicts the tire performance that has changed due to the deterioration state of the tire's thermal properties as the tire's current potential capability.
[0077] Information indicating the workload of the mobile body 2 to which the tire is attached can be applied to tire performance. Examples of information indicating the workload of the mobile body 2 include the speed of the mobile body 2 (operating speed) and the weight of the mobile body 2 (load capacity).
[0078] The control unit 504 can output the predicted tire performance to an external device such as the user terminal 3. Therefore, the user terminal 3 can receive and confirm information indicating the tire performance that has changed according to the deterioration state of the tires 20 on the mobile body 2. Consequently, the user operating the user terminal 3 can appropriately instruct the operation of the mobile body 2 according to the deterioration state of the tires on the mobile body 2.
[0079] Furthermore, the control unit 504 can use the operation information acquired by the acquisition unit 500 to predict information indicating an optimal operation plan for the predicted tire performance. The information indicating the optimal operation plan is information indicating a proposed operation plan for the mobile unit 2 that achieves the amount of work desired by the user with tire performance that does not exceed the predicted tire performance. For example, if the control unit 504 acquires information such as the operation route, the gradient along the operation route, and the road surface condition along the operation route as operation information, it derives an operation route that can be achieved with the predicted tire performance for the amount of work to be performed, based on a combination of these. This makes it possible to support the operation plan desired by the user.
[0080] (Information processing) Next, we will explain the information processing performed by Information Processing System 1, focusing on the processing performed by Server 5. On the user terminal 3, a process is executed to measure tire heat information, and this data is sent to the server 5. The user terminal 3 then waits for a response from the server 5. The user terminal 3 receives the response from the server 5, i.e., the tire performance, and performs control to output the received tire performance, such as displaying it on the display unit 33. Based on the tire performance of the mobile body 2, it becomes possible to formulate an operation plan for the mobile body 2. Note that the formulation of the operation plan for the mobile body 2 may be performed on the server 5 or on the user terminal 3.
[0081] Figure 9 is a flowchart illustrating an example of the information processing flow in server 5. The flowchart shown in Figure 9 is an example of the processing flow of server program 55P stored in server 5. The processing by server program 55P is executed by the CPU 50A of server 5.
[0082] The information processing shown in Figure 9 is an example of processing performed by the information processing method and information processing program of this disclosure.
[0083] As described above, the CPU 50A, acting as the acquisition unit 500, executes a process in step S100 to acquire initial information related to the tire transmitted from the user terminal 3. Here, the initial information related to the tire includes the internal tire temperature as tire thermal information, the load as mobile body information, and the temperature and precipitation as weather information. In step S100, the initial tire performance information described above can be acquired. In addition, in step S100, the operation information of the mobile body 2 described above can be acquired.
[0084] Next, in step S110, the CPU 50A, as the calculation unit 502, performs the process of identifying the thermal degradation state of the tire as described above. That is, a degradation index indicating the risk of tire degradation is calculated as the degradation state. Here, in step S110, the thermal history of each part of the tire (for example, each part including the belt) is calculated as a thermal history using the internal tire temperature and the air temperature, which is weather information, and the degradation index is calculated from that thermal history. Specifically, the temperature of each part of the tire is calculated using the acquired internal tire temperature. Next, the calculated temperature of each part of the tire is corrected using the air temperature and precipitation. Therefore, the temperature of each part of the tire can be calculated with higher accuracy compared to when weather is not considered.
[0085] Next, the CPU50A derives a deterioration index for the tire deterioration risk, which represents the tire's deterioration state as described above, from the temperature of each part of the tire.
[0086] In step S110, weather information such as weather forecasts can be used to calculate the degree to which it will affect the future thermal history of the tire or the risk of tire deterioration. For example, if the weather information for the derived tire deterioration state is for sunny weather, but the weather forecast predicts rain and a certain amount of precipitation, then the degree to which the weather information will affect the calculated risk of tire deterioration will be reflected in the temperature of each part of the tire.
[0087] Next, in step S120, the CPU 50A identifies the tire load, such as the load itself, and uses that tire load to calculate the degree to which it affects the tire's thermal history or the risk of tire degradation. For example, using the tire model, which is the stress analysis model described above, the temperature of each part of the tire is derived by applying the tire load. In other words, the CPU 50A derives the temperature of each part of the tire, which changes depending on the load applied to the tire (tire load). Furthermore, the CPU 50A calculates and identifies the thermal history for each part of the tire from the derived temperature of each part, and then calculates a degradation index that shows the tire degradation risk, which is the state of tire degradation, taking the tire load into consideration.
[0088] Next, in step S130, the CPU 50A, as the control unit 504, performs a process to predict tire performance using the calculated tire degradation state (degradation index of degradation risk). Specifically, the CPU 50A predicts, from the identified tire thermal degradation state (tire thermal degradation information), a second tire performance that shows the potential capacity of the tire, which has changed due to the degradation state from a first tire performance predetermined at the initial stage of shipment. At least one of the above-mentioned speed of the mobile body 2 (operating speed), distance traveled by the mobile body 2, and weight of the mobile body 2 (load capacity) can be applied to this tire performance.
[0089] Furthermore, in step S130, the CPU 50A can output the predicted tire performance to the user terminal 3. Therefore, the user checking the user terminal 3 can confirm the tire performance that has changed according to the tire's deterioration state. Consequently, the user can appropriately instruct the operation of the mobile unit 2 according to the tire's deterioration state.
[0090] Next, in step S140, the CPU 50A, acting as the control unit 504, outputs a driving plan corresponding to the calculated tire performance. That is, the CPU 50A uses the driving information acquired in step S100 to predict information indicating the optimal driving plan for the predicted tire performance and outputs the prediction result to the user terminal 3. As described above, the information indicating the optimal driving plan is information indicating a proposed driving plan for the mobile unit 2 with a workload that does not exceed the tire performance corresponding to the identified tire deterioration state. The workload that does not exceed the tire performance can be calculated using load such as the load amount, speed, and distance traveled. If a driving route is provided as driving information, the workload can be derived by applying a combination of information such as the driving route, the gradient along the driving route, and the road surface condition along the driving route. This makes it possible to support the driving plan desired by the user. Note that step S140 can be omitted.
[0091] CPU 50A performs a process to output information indicating tire performance corresponding to the tire deterioration state described above, and information indicating the proposed operation of the mobile unit 2, that is, a process to send to user terminal 3, and then terminates this processing routine.
[0092] Thus, according to the information processing system 1 of this disclosure, it is possible to output information indicating the tire performance corresponding to the tire's deterioration state, which is determined by the heat generated in the tire. Furthermore, it is possible to output as information a candidate for an optimized operation plan for the operation plan desired by the user. As a result, the user can determine the optimal operation plan for the mobile vehicle 2 to which the tire is attached by checking the tire performance corresponding to the current tire's deterioration state. In addition, by checking the information indicating the operation proposal for the mobile vehicle 2, the user can confirm the optimal operation plan for the mobile vehicle 2 that will allow the tire performance, which represents the potential capabilities of the tire attached to the mobile vehicle 2, to be fully utilized.
[0093] Next, we will explain an example of outputting candidate operation plans optimized for the aforementioned operation plan as information.
[0094] Figure 10 is a conceptual diagram showing an example of an operation plan for the mobile unit 2. In the figure, node N is indicated within the node shapes representing each point such as the starting point, ending point, and intermediate points of the mobile unit 2. Furthermore, in order to represent the locations (nodes) of work sites such as quarry sites and mines in three dimensions, the directions that intersect horizontally are represented by the X and Y axes, and the height direction is represented by the Z axis. In Figure 10, the initial operation plan desired by the user is shown with a solid line. In addition, a first candidate operation plan that can utilize the tire performance that indicates the potential capabilities of the tires mounted on the mobile unit 2 is shown with a dashed line, and a second candidate operation plan is shown with a dotted line.
[0095] Mobile vehicle 2 travels from its current location to the destination, point 1, and then to point 2, via an arbitrary route, while loading cargo according to the operation plan. At work sites such as quarrying sites and mines, the load on the tires changes depending on the distance traveled, the speed of travel, the load, and the elevation differences between the locations of stay and travel, which in turn changes the heat generated in the tires.
[0096] As shown in Figure 10, the initial operation plan shows an operation route that starts at node N01 and ends at node N41, following the path N01-N11-N22-N31-N41. With respect to this initial operation plan, compared to operation based on the initial tire performance, operation based on the tire performance based on the aforementioned tire degradation state may be predicted to result in a rapid deterioration of the tire degradation state. This prediction can be realized by estimating the tire degradation state using the tire model described above, according to the initial operation plan. Therefore, the information processing system 1 of this disclosure can output a first operation plan candidate and a second operation plan candidate that are capable of exhibiting the tire performance that indicates the potential capabilities of the tire. The first operation plan candidate shows an operation route that follows the path N01-N12-N23-N41. The second operation plan candidate shows an operation route that follows the path N01-N13-N41. These first and second operational plan candidates are optimized operational plan candidates that enable the tire performance corresponding to the tire deterioration state described above, that is, the tire performance that demonstrates the potential capabilities of the tire mounted on the mobile unit 2. These first and second operational plan candidates enable operation within the optimal workload range with tire performance corresponding to the current tire deterioration state. Furthermore, these first and second operational plan candidates are effective in extending the lifespan of the tires. Furthermore, if multiple route plan candidates are obtained, they may be prioritized and output according to the tire deterioration status, or the optimal route plan candidate may be output, in which the tire deterioration status of the multiple route plan candidates does not exceed a predetermined threshold (for example, the route plan candidate with the lowest deterioration status). For example, if the tire deterioration status of the second route plan candidate is worse than that of the first route plan candidate, the second route plan candidate may be automatically output.
[0097] As explained above, for example, when considering weather conditions with regard to temperature, higher temperatures may negatively affect tire degradation, increasing the risk of deterioration. On the other hand, rainy weather may have a favorable effect on tire degradation, reducing the risk of deterioration compared to sunny weather. According to the information processing system 1 of this disclosure, by deriving tire performance based on the current tire condition, it becomes possible to propose operational plans such as replacing the operational plan with a route with a lower load capacity or reducing the travel speed as candidates. Furthermore, according to the information processing system 1 of this disclosure, it becomes possible to propose tire rotation and other measures to reduce the thermal degradation of the tires themselves.
[0098] Furthermore, by accumulating the aforementioned information, it is possible to improve the accuracy of proposals for candidate operation plans, including the range of increases and decreases in travel speed, the range of increases and decreases in load, and the range of route substitutions.
[0099] (modified version) In the above embodiment, a case was described in which the tire performance of a tire mounted on a mobile body is output or a candidate for an operation plan is output, taking into account the deterioration state determined by the heat generated in the tire. However, the technology of this disclosure is not limited to this. For example, instead of controlling the system to output tire performance or a candidate for an operation plan, the information processing device may output information to an external device or display it on a display unit such as a screen. Specifically, the control unit 504 described above may be configured to include a functional unit that functions as an output unit. For example, examples of information that can be output include deterioration risk and tire life-related information such as the usable period (life) of the tire, such as the mileage that can be driven.
[0100] Furthermore, the above-mentioned mobile body 2 is applicable to mobile bodies that are driven by manual operation by an operator and mobile bodies that are capable of autonomous driving. An example of a mobile body capable of autonomous driving is a mobile body capable of autonomous driving or autonomous following, and for example, a mobile body that drives autonomously according to an instructed route is applicable. When applying the technology of this disclosure to a mobile body capable of autonomous driving, the control unit 504 should be configured to provide the mobile body 2 with at least one of the information related to tire performance and information indicating a candidate driving plan, as described above. That is, the control unit 504 should be configured to include a providing unit that provides information to the mobile body 2. The mobile body 2 should then control its driving based on the information provided by the control unit 504 as the providing unit, for example, to drive according to a candidate driving plan. When the information provided to the mobile body 2 is provided from outside the mobile body 2, the above-mentioned information should be generated outside the mobile body 2 and provided, for example, to an automatic driving control device that controls the autonomous driving of the mobile body 2. Furthermore, when the mobile vehicle 2 derives a route according to the operation plan, for example, the automatic driving control device that controls autonomous driving can generate information indicating the operation plan including the route, and the automatic driving control unit can control the mobile vehicle to drive autonomously according to that operation plan.
[0101] In this way, the mobile unit 2 automatically travels according to a route plan that enables optimal driving in accordance with the tire performance, which indicates the potential capabilities of the tires, and changes based on the heat generated in the tires and the thermal degradation state derived in response to weather information such as temperature.
[0102] (Other embodiments) The user terminal 3 and the server described above may be the same device. Also, in the above example, data from the user terminal 3 is sent to the server 5, and the server 5 sends back information indicating the response to the user terminal 3, but the functions of the user terminal 3 may also be installed in the in-vehicle device of the mobile unit 2. In this way, it becomes possible for the mobile unit 2 to confirm its route.
[0103] Although the technology of this disclosure has been described above using embodiments, the technical scope of the technology of this disclosure is not limited to the scope described in the embodiments above. Various modifications or improvements can be made to the embodiments above without departing from the gist of the work, and such modified or improved forms are also included in the technical scope of the technology of this disclosure.
[0104] Furthermore, although the above embodiment describes processing performed by executing a program stored in an auxiliary storage device, at least some of the program processing may be implemented in hardware. Also, the program processing flow described in the above embodiment is just one example, and unnecessary steps may be deleted, new steps added, or the processing order changed, without departing from the main point.
[0105] Furthermore, in order to have a computer execute the processing described in the above-described embodiment, a program in which the above-described processing is written in code that can be processed by a computer may be stored on a storage medium such as an optical disc and distributed.
[0106] In the embodiments described above, a CPU was used as an example of a general-purpose processor. However, in these embodiments, the term "processor" refers to a broader type of processor, including 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.).
[0107] Furthermore, the operation of the processor in the above-described embodiment may not be performed by a single processor, but may be performed by multiple processors working together, or by multiple processors located in physically separate locations working together.
[0108] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.
[0109] The SDGs have been proposed to realize a sustainable society. One embodiment of this invention is considered to be a technology that can contribute to "No. 9" and other goals. [Explanation of Symbols]
[0110] 1. Information Processing System 2 Mobile Units 3. User terminals 5 Servers 6 Network 20 tires 22 Sensor Modules 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 Unit
Claims
1. An acquisition unit that acquires tire thermal information indicating the heat generated in the tires attached to a moving object, and weather information relating to the weather that affects the heat generated in the tires, Based on the tire thermal information and weather information acquired by the acquisition unit, the identification unit identifies tire thermal degradation information indicating the deterioration state related to the heat of the tire, A control unit that performs control based on the tire thermal degradation information identified by the specified unit to predict a second tire performance, which is a tire performance that indicates the potential capacity of the tire as it has changed due to the degradation state, from a first tire performance, which is a predetermined tire performance for the tire in relation to the movement of the moving body, Equipped with an information processing device.
2. The acquisition unit acquires the temperature of the tire as the heat generated in the tire, The identifying unit calculates the temperature of at least a portion of the tire using the tire thermal information, and identifies the tire thermal degradation information based on the information indicating the calculated temperature of at least a portion of the tire. The information processing apparatus according to claim 1.
3. The acquisition unit acquires information regarding the moving body that applies a load to the tire, The specified unit identifies the tire thermal degradation information based on the information including the information about the moving body that has been acquired. The information processing apparatus according to claim 1.
4. The acquisition unit acquires information indicating the wear state of the tire, The identification unit identifies the tire thermal degradation information based on information including information indicating the wear state of the tire acquired by the acquisition unit. The information processing apparatus according to claim 1.
5. The control unit performs control to output information indicating the potential capability shown by the second tire performance. The information processing apparatus according to claim 1.
6. The acquisition unit acquires information indicating a predetermined operation plan for operating the mobile body, The control unit performs control to output information indicating a candidate operation plan that drives the mobile body with tire performance within the second tire performance, based on the information including the operation plan information acquired by the acquisition unit. The information processing apparatus according to claim 1.
7. A calculation unit calculates control information indicating that control is performed on the movement of the moving body based on information indicating the second tire performance predicted by the control unit, A control information output unit outputs the control information to an automatic driving control device that controls the movement of the mobile body so that the mobile body moves autonomously according to the control information derived by the calculation unit, The information processing apparatus according to claim 1, including the following:
8. Computers The system acquires tire thermal information indicating the heat generated in the tires attached to the moving object, and weather information relating to the weather that affects the heat generated in the tires. Based on the acquired tire thermal information and weather information, tire thermal degradation information indicating the deterioration state of the tire's thermal properties is identified. Based on the identified tire thermal degradation information, control is performed to predict a second tire performance, which is the potential capability of the tire that has changed due to the degradation state, from a first tire performance, which is a predetermined tire performance for the tire, in relation to the movement of the moving body. A method of information processing that handles matters.
9. On the computer, The system acquires tire thermal information indicating the heat generated in the tires attached to the moving object, and weather information relating to the weather that affects the heat generated in the tires. Based on the acquired tire thermal information and weather information, tire thermal degradation information indicating the deterioration state of the tire's thermal properties is identified. Based on the identified tire thermal degradation information, control is performed to predict a second tire performance, which is the potential capability of the tire that has changed due to the degradation state, from a first tire performance, which is a predetermined tire performance for the tire, in relation to the movement of the moving body. An information processing program that handles tasks.