Information processing apparatus, information processing system, program, and information processing method

Abstract

To provide a technique that can contribute at low cost to acquisition of information necessary for prediction of the endurance state of tires.SOLUTION: An information processing apparatus 10 comprises a control unit 13 that acquires travel information including travel time and a travel position from a vehicle 20, acquires information on the weather around the travel position at the travel time on the basis of the acquired travel information, and estimates outside temperature at the travel position at the travel time on the basis of the acquired travel information and weather information.SELECTED DRAWING: Figure 2

Description

[Technical field]

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

[0002] Conventionally, there is known a technique for accurately acquiring the ambient temperature around a tire when predicting the durability state of a tire mounted on a vehicle. For example, there is known a technique for measuring and recording the ambient temperature around the tire by additionally mounting a temperature sensor and a recording device on the vehicle. For example, Patent Document 1 discloses a device for estimating the wear state of a tire mounted on a vehicle. The device has a temperature sensor for acquiring the temperature outside the vehicle. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2022-160933 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the conventional technology in which a temperature sensor and a recording device are additionally installed in the vehicle, the cost of continuously predicting the durability state of the tires increases.

[0005] The present disclosure provides a technology that can contribute to obtaining information necessary for predicting the durability state of a tire at low cost. [Means for solving the problem]

[0006] An information processing device according to an embodiment of the present disclosure includes: (1) a control unit that acquires travel information including a travel time and a travel position from the vehicle, acquires meteorological information for the vicinity of the travel position at the travel time based on the acquired travel information, and estimates an outside air temperature at the travel position at the travel time based on the acquired travel information and meteorological information; Equipped with. This enables the information processing device to contribute to obtaining information required for predicting the durability state of tires at low cost.

[0007] (2) The information processing device according to (1), The control unit may execute a process of estimating an ambient temperature of a tire of the vehicle based on the estimated outside air temperature and an operating state of an engine of the vehicle. This allows the information processing device to obtain the ambient temperature of the tires at the traveling position of the vehicle at the traveling time without additionally installing a temperature sensor, a recording device, etc., on the vehicle.

[0008] (3) The information processing device according to (2) above, In the process, the control unit may determine the operating status based on a change over time in the traveling position. This allows the information processing device to obtain the operating status of the vehicle's engine without additionally mounting a sensor or the like on the vehicle for obtaining information on the operating status of the engine in the vehicle.

[0009] (4) The information processing device according to (3) above, The control unit may determine whether the engine is on or off by determining whether the vehicle has been stopped for a period of time that exceeds a threshold value. This allows the information processing device to accurately determine whether the vehicle's engine is on or off, based on the position information acquired by the acquisition unit of the vehicle.

[0010] (5) The information processing device according to any one of (2) to (4), In the process, the control unit may calculate an elapsed time since the engine was turned on from an off state. This enables the information processing device to more accurately execute the process of estimating the ambient temperature of the tire, which is necessary to predict the durability state of the tire.

[0011] (6) The information processing device according to (5) above, In the process, the control unit may obtain a first relational expression indicating a relationship of the increase in the ambient temperature with respect to the elapsed time from past running data. This enables the information processing device to more accurately execute the process of estimating the ambient temperature of the tire, which is necessary to predict the durability state of the tire.

[0012] (7) The information processing device according to any one of (2) to (6), In the processing, the control unit may calculate a second relational equation from past data in which the outside air temperature and the ambient temperature are associated with each other, and calculate a maximum attained temperature of the ambient temperature corresponding to the estimated outside air temperature based on the second relational equation. This enables the information processing device to more accurately execute the process of estimating the ambient temperature of the tire, which is necessary to predict the durability state of the tire.

[0013] (8) The information processing device according to (7) above, The control unit may calculate the second relational expression using an approximation line for a maximum temperature among a plurality of the ambient temperatures obtained for each of the plurality of outside air temperatures in the past data. This allows the information processing device to more accurately calculate the maximum ambient temperature.

[0014] (9) The information processing device according to any one of (2) to (8), The control unit may execute the process using a different algorithm for each mounting position of the tire on the vehicle. This enables the information processing device to estimate the ambient temperature for each tire of the vehicle with higher accuracy.

[0015] An information processing system according to an embodiment of the present disclosure includes: (10) An information processing device according to any one of (1) to (9) above; a vehicle that provides the driving information to the information processing device; Equipped with. This enables the information processing system to contribute to obtaining information necessary for predicting the durability state of tires at low cost.

[0016] A program according to an embodiment of the present disclosure includes: (11) In the information processing device, Acquiring travel information from a vehicle, the travel information including a travel time and a travel position; acquiring weather information for the vicinity of the traveling position at the traveling time based on the acquired traveling information; estimating an outside air temperature at the traveling position at the traveling time based on the acquired traveling information and the weather information; The method executes an operation including: This enables the information processing device to contribute to obtaining information required for predicting the durability state of tires at low cost.

[0017] An information processing method according to an embodiment of the present disclosure includes: (12) An information processing method executed in an information processing device, Acquiring travel information from a vehicle, the travel information including a travel time and a travel position; acquiring weather information for the vicinity of the traveling position at the traveling time based on the acquired traveling information; estimating an outside air temperature at the traveling position at the traveling time based on the acquired traveling information and the weather information; Includes. This enables the information processing device to contribute to obtaining information required for predicting the durability state of tires at low cost. Effect of the Invention

[0018] According to an information processing device, an information processing system, a program, and an information processing method according to an embodiment of the present disclosure, it is possible to contribute to obtaining information required for predicting the durability state of a tire at low cost. [Brief description of the drawings]

[0019] [Figure 1] 1 is a configuration diagram illustrating a configuration of an information processing system including an information processing device according to an embodiment of the present disclosure. [Diagram 2] 2 is a block diagram showing a schematic configuration of the information processing device and the vehicle of FIG. 1. [Diagram 3] 4 is a flowchart illustrating a first example of an information processing method executed by the information processing device of FIG. [Figure 4] 13 is a flowchart illustrating a second example of the information processing method executed by the information processing device of FIG. [Diagram 5] 13 is a flowchart illustrating a third example of an information processing method executed by the information processing device of FIG. [Figure 6] 13 is a flowchart illustrating a fourth example of the information processing method executed by the information processing device of FIG. [Figure 7] FIG. 2 is a first diagram for explaining an example of a process executed by the information processing device of FIG. [Figure 8] FIG. 2 is a second diagram for explaining an example of the process executed by the information processing device of FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0020] An embodiment of the present disclosure will be mainly described below with reference to the accompanying drawings. The following description also applies to an information processing system 1 including an information processing device 10 to which the present disclosure is applied, and an information processing method and a program executed by the information processing device 10.

[0021] Fig. 1 is a configuration diagram showing a configuration of an information processing system 1 including an information processing device 10 according to an embodiment of the present disclosure. An overview of the information processing system 1 including the information processing device 10 according to an embodiment of the present disclosure will be mainly described with reference to Fig. 1. The information processing system 1 has a vehicle 20 in addition to the information processing device 10.

[0022] For ease of explanation, only one information processing device 10 is illustrated in FIG. 1, but the number of information processing devices 10 included in the information processing system 1 may be two or more. Similarly, only one vehicle 20 is illustrated in FIG. 1, but the number of vehicles 20 included in the information processing system 1 may be two or more. Each of the information processing device 10 and the vehicle 20 is communicatively connected to a network 30 including a mobile communication network and the Internet. That is, either one of the information processing device 10 and the vehicle 20 is communicatively connected to the other device via the network 30.

[0023] The information processing device 10 is, for example, one or more server devices capable of communicating with each other. The information processing device 10 is not limited to these, and may be any general-purpose electronic device such as a PC (Personal Computer) or a smartphone, or may be another electronic device dedicated to the information processing system 1.

[0024] The vehicle 20 is, for example, any vehicle equipped with tires and capable of running by an operating engine. The vehicle 20 is, for example, an automobile, but is not limited thereto. Automobiles include gasoline automobiles, electric automobiles, hybrid automobiles, plug-in hybrid automobiles, and fuel cell automobiles. The vehicle 20 may be one that is driven by a driver, or one whose driving is automated at any automation level. The automation level includes, for example, any of levels 1 to 5 in the classification of the Society of Automotive Engineers (SAE).

[0025] As an overview of an embodiment, the information processing device 10 acquires driving information including the driving time and driving position of the vehicle 20 from the vehicle 20. In the present disclosure, the "driving information" includes, for example, the real-time driving time and driving position when an ambient temperature estimation process, which will be described later, is executed on the vehicle 20 for which the tire durability state is to be predicted. The information processing device 10 acquires meteorological information about the vicinity of the driving position of the vehicle 20 at the driving time based on the acquired driving information. In the present disclosure, the "meteorological information" includes information such as temperature acquired from a local weather observation system or the like.

[0026] The information processing device 10 estimates the outside air temperature at the driving position at the driving time based on the acquired driving information and weather information. In the present disclosure, the "outside air temperature" means, for example, the temperature of the atmosphere around the vehicle including the vehicle 20. The information processing device 10 executes a process of estimating the ambient temperature of the tires of the vehicle 20 based on the estimated outside air temperature and the operating status of the engine of the vehicle 20. In the present disclosure, the "operating status of the engine" includes the elapsed time since the engine was turned on from off, etc. The "ambient temperature" includes, for example, the temperature around the tire, which may affect the durability state of the tire. The ambient temperature is a temperature parameter required to predict the durability state of the tires of the vehicle 20.

[0027] Fig. 2 is a block diagram showing a schematic configuration of each of the information processing device 10 and the vehicle 20 in Fig. 1. With reference to Fig. 2, an example of each of the configurations of the information processing device 10 and the vehicle 20 included in the information processing system 1 will be mainly described.

[0028] As shown in FIG. 2, the information processing device 10 includes a communication unit 11, a storage unit 12, and a control unit 13.

[0029] The communication unit 11 includes one or more communication interfaces connected to the network 30. The communication interface corresponds to, for example, a mobile communication standard such as 4G (4th Generation) and 5G (5th Generation), a wired LAN (Local Area Network) standard, or a wireless LAN standard, but may correspond to any communication standard without being limited thereto. For example, the communication interface may correspond to a short-range wireless communication standard. In one embodiment, the information processing device 10 is communicably connected to the network 30 via the communication unit 11. The communication unit 11 transmits and receives various information via the network 30.

[0030] The storage unit 12 includes storage modules such as a hard disk drive (HDD), a solid state drive (SSD), an electrically erasable programmable read-only memory (EEPROM), a read-only memory (ROM), and a random access memory (RAM). The storage unit 12 stores information necessary to realize the operation of the information processing device 10. The storage unit 12 stores information obtained by the operation of the information processing device 10. For example, the storage unit 12 stores system programs, application programs, and various data obtained by any means such as communication.

[0031] The storage unit 12 may function as a main storage module, an auxiliary storage module, or a cache memory. The storage unit 12 is not limited to being built into the information processing device 10, and may include an external storage module connected via a digital input / output port such as a Universal Serial Bus (USB).

[0032] The control unit 13 includes one or more processors. In the present disclosure, a "processor" is a general-purpose processor or a dedicated processor specialized for a specific process, but is not limited thereto. The control unit 13 includes, for example, a CPU (Central Processing Unit). The control unit 13 is communicably connected to each component of the information processing device 10, and controls the operation of the information processing device 10 as a whole.

[0033] 2, the vehicle 20 has a communication unit 21, a storage unit 22, an acquisition unit 23, and a control unit 24. The communication unit 21, the storage unit 22, the acquisition unit 23, and the control unit 24 are communicatively connected to each other via an in-vehicle network such as a CAN (Controller Area Network) or a dedicated line.

[0034] The communication unit 21 includes one or more communication interfaces that connect to the network 30. The communication interface corresponds to, for example, a mobile communication standard such as 4G and 5G, or a wireless LAN standard, but may correspond to any communication standard without being limited thereto. For example, the communication interface may correspond to a short-range wireless communication standard. In one embodiment, the vehicle 20 is communicatively connected to the network 30 via the communication unit 21. The communication unit 21 transmits and receives various information via the network 30.

[0035] The storage unit 22 includes storage modules such as an HDD, an SSD, an EEPROM, a ROM, and a RAM. The storage unit 22 stores information necessary to realize the operation of the vehicle 20. The storage unit 22 stores information obtained by the operation of the vehicle 20. For example, the storage unit 22 stores system programs, application programs, and various data acquired by any means such as communication.

[0036] The storage unit 22 may function as a main storage module, an auxiliary storage module, or a cache memory. The storage unit 22 is not limited to being built into the vehicle 20, and may include an external storage module connected via a digital input / output port such as a USB.

[0037] The acquisition unit 23 includes one or more receivers corresponding to any satellite positioning system. The receiver includes, for example, a GNSS (Global Navigation Satellite System) receiver such as a GPS (Global Positioning System) receiver. The acquisition unit 23 acquires a measurement value of the position of the vehicle 20 as position information. The position information includes, for example, an address, latitude, longitude, and altitude. The acquisition unit 23 may acquire the position information of the vehicle 20 constantly, or periodically or non-periodically. The acquisition unit 23 may complement the position information by using information on the vehicle speed pulse of the vehicle 20 and other information based on autonomous navigation.

[0038] The control unit 24 includes one or more processors. The control unit 24 includes, for example, an ECU (Electronic Control Unit). The control unit 24 is communicably connected to each component of the vehicle 20 and controls the operation of the entire vehicle 20.

[0039] Fig. 3 is a flowchart for explaining a first example of an information processing method executed by the information processing device 10 of Fig. 1. The first example of the information processing method executed by the information processing device 10 of Fig. 1 will be mainly explained with reference to Fig. 3. The flowchart shown in Fig. 3 shows a basic process flow of the information processing method executed by the information processing device 10.

[0040] In step S101, the control unit 13 of the information processing device 10 acquires driving information including a driving time and a driving position from the vehicle 20. For example, the control unit 24 of the vehicle 20 acquires the driving position of the vehicle 20 as position information using the acquisition unit 23. The control unit 24 of the vehicle 20 associates the driving position acquired using the acquisition unit 23 with the driving time at that time to generate driving information. The control unit 24 of the vehicle 20 transmits the generated driving information to the information processing device 10 via the communication unit 21 and the network 30. The control unit 13 of the information processing device 10 receives the driving information generated in the vehicle 20 from the vehicle 20 via the network 30 and the communication unit 11.

[0041] In step S102, the control unit 13 of the information processing device 10 acquires weather information about the vicinity of the traveling position of the vehicle 20 at the traveling time included in the traveling information based on the traveling information acquired in step S101. For example, the control unit 13 of the information processing device 10 receives weather information generated by a regional weather observation system or the like from the regional weather observation system via the network 30 and the communication unit 11. Alternatively, the control unit 13 of the information processing device 10 receives weather information generated by a regional weather observation system or the like and once acquired by the vehicle 20 from the vehicle 20 via the network 30 and the communication unit 11.

[0042] In step S103, the control unit 13 of the information processing device 10 estimates the outside air temperature at the traveling position of the vehicle 20 at the traveling time included in the traveling information, based on the traveling information acquired in step S101 and the weather information acquired in step S102. At this time, the control unit 13 may execute a complementation process to obtain an estimated value of the outside air temperature.

[0043] For example, when there is a time period in which information is missing in the weather information acquired in step S102, the control unit 13 may execute a linear interpolation process to connect sampling points of information located at both ends of the time period. When the driving time included in the driving information acquired in step S101 is included in the time period, the control unit 13 may estimate the outside air temperature using the weather information interpolated by the linear interpolation process.

[0044] For example, when there is a spatial region where information is missing in the weather information acquired in step S102, the control unit 13 may execute a linear interpolation process to connect sampling points of information located at both ends of the spatial region. When the traveling position included in the traveling information acquired in step S101 is included in the spatial region, the control unit 13 may estimate the outside air temperature using the weather information interpolated by the linear interpolation process.

[0045] Fig. 4 is a flowchart for explaining a second example of the information processing method executed by the information processing device 10 of Fig. 1. With reference to Fig. 4, the second example of the information processing method executed by the information processing device 10 of Fig. 1 will be mainly explained. The flowchart shown in Fig. 4 shows a process flow for calculating a first relational expression required for the estimation process of the ambient temperature of the tires of the vehicle 20, which will be described later with reference to Fig. 6. The calculation of the first relational expression is performed based on past driving data when a vehicle the same as or different from the vehicle 20 is used as a measurement vehicle. The measurement vehicle is equipped with a temperature sensor capable of directly measuring the outside air temperature, the ambient temperature, and the like.

[0046] In step S201, the control unit 13 of the information processing device 10 acquires driving data of the test vehicle that has been driven normally. In the present disclosure, the "driving data" includes the elapsed time since the engine of the test vehicle was turned on from off, the ambient temperature of the tires of the test vehicle directly measured by a temperature sensor, and the relationship between these parameters when the ambient temperature increases with increasing elapsed time. For example, the control unit 13 receives driving data generated by the test vehicle itself based on measurements made on the test vehicle from the test vehicle via the network 30 and the communication unit 11. The control unit 13 stores the acquired driving data in the memory unit 12.

[0047] In step S202, the control unit 13 of the information processing device 10 obtains, from the past driving data obtained in step S201, the elapsed time since the engine of the measurement vehicle was turned on from off.

[0048] In step S203, the control unit 13 of the information processing device 10 acquires the ambient temperature of the tires of the measurement vehicle, which is directly measured by the temperature sensor, from the past driving data acquired in step S201.

[0049] In step S204, the control unit 13 of the information processing device 10 calculates a first relational expression indicating the relationship of the increase in the ambient temperature with respect to the elapsed time based on the past running data acquired in step S201. For example, the control unit 13 calculates the first relational expression based on the unsteady heat conduction equation while calculating necessary coefficients from the past running data acquired in step S201. The control unit 13 stores the calculated first relational expression in the storage unit 12 as information.

[0050] Fig. 5 is a flowchart for explaining a third example of an information processing method executed by the information processing device 10 of Fig. 1. With reference to Fig. 5, the third example of the information processing method executed by the information processing device 10 of Fig. 1 will be mainly explained. The flowchart shown in Fig. 5 shows a process flow for calculating a second relational expression required for the estimation process of the ambient temperature of the tires of the vehicle 20, which will be described later with reference to Fig. 6. The calculation of the second relational expression is performed based on past data acquired using a measurement vehicle, similar to the calculation of the first relational expression.

[0051] In step S301, the control unit 13 of the information processing device 10 acquires an outside air temperature, which is the temperature of the atmosphere around the measurement vehicle, measured by a temperature sensor of the measurement vehicle performing normal driving. For example, the control unit 13 receives the outside air temperature measured in the measurement vehicle from the measurement vehicle via the network 30 and the communication unit 11. The control unit 13 stores the acquired outside air temperature in the memory unit 12. In step S301, the control unit 13 may acquire outside air temperatures over a wide period from summer to winter in order to widen the numerical range of the outside air temperature.

[0052] In step S302, the control unit 13 of the information processing device 10 acquires the ambient temperature of the tires of the measurement vehicle measured by a temperature sensor of the measurement vehicle performing normal driving. For example, the control unit 13 receives the ambient temperature measured in the measurement vehicle from the measurement vehicle via the network 30 and the communication unit 11. The control unit 13 stores the acquired ambient temperature in the memory unit 12. In step S302, the control unit 13 acquires the ambient temperature corresponding to the outside air temperature acquired in step S301.

[0053] In step S303, the control unit 13 of the information processing device 10 generates data in which the outside air temperature acquired in step S301 and the ambient temperature acquired in step S302 are associated with each other, and stores the data in the storage unit 12.

[0054] In step S304, control unit 13 of information processing device 10 calculates a second relational equation from the past data stored in memory unit 12 in step S303. For example, control unit 13 calculates the second relational equation using an approximation line for the maximum temperature among multiple ambient temperatures obtained for each of multiple outside air temperatures in the past data stored in memory unit 12 in step S303. Control unit 13 stores the calculated second relational equation as information in memory unit 12. As described above, control unit 13 obtains the second relational equation expressing the relationship between the outside air temperature and the ambient temperature.

[0055] FIG. 6 is a flowchart for explaining a fourth example of the information processing method executed by the information processing device 10 of FIG. 1. The fourth example of the information processing method executed by the information processing device 10 of FIG. 1 will be mainly explained with reference to FIG. 6. The flowchart shown in FIG. 6 shows a process flow for estimating the ambient temperature of the tires of the vehicle 20. The control unit 13 of the information processing device 10 executes a process for estimating the ambient temperature of the tires of the vehicle 20 based on the outside air temperature estimated in step S103 of FIG. 3 and the operating status of the engine of the vehicle 20. As described below, in this process, the control unit 13 of the information processing device 10 determines the operating status of the engine of the vehicle 20 based on the time change in the traveling position of the vehicle 20.

[0056] In step S401, the control unit 13 of the information processing device 10 estimates the outside air temperature at the traveling position of the vehicle 20 at the traveling time included in the traveling information acquired in step S101, according to the flowchart shown in FIG.

[0057] In step S402, the control unit 13 of the information processing device 10 determines whether the stop time of the vehicle 20 exceeds a threshold value. For example, the control unit 13 determines whether the vehicle 20 is moving or stopped based on the change over time of the running position included in the running information acquired in step S101 of the flowchart shown in Fig. 3. The control unit 13 determines that the vehicle 20 is stopped when the running position is constant over time, and performs a process of comparing the stop time of the vehicle 20 with the threshold value by calculating the stop time.

[0058] When the control unit 13 of the information processing device 10 determines in step S402 that the stopping time exceeds the threshold, it executes the process of step S403. When the control unit 13 of the information processing device 10 determines in step S402 that the stopping time does not exceed the threshold, that is, that the stopping time is equal to or less than the threshold, it executes the process of step S404. By determining in step S402 whether the stopping time of the vehicle 20 exceeds the threshold, the control unit 13 determines whether the engine of the vehicle 20 is on or off in steps S404 and S403, respectively.

[0059] In step S403, if the control unit 13 of the information processing device 10 determines in step S402 that the stopped time of the vehicle 20 exceeds the threshold, it determines that the engine of the vehicle 20 is off.

[0060] In step S404, if the control unit 13 of the information processing device 10 determines in step S402 that the stopped time of the vehicle 20 does not exceed the threshold value, it determines that the engine of the vehicle 20 is on.

[0061] In step S405, the control unit 13 of the information processing device 10 calculates the elapsed time since the engine of the vehicle 20 was turned on from off, based on the determination process and discrimination process in steps S402 to S404.

[0062] In step S406, the control unit 13 of the information processing device 10 reads out the first relational expression calculated according to the flowchart shown in Fig. 4 from the storage unit 12. As a result, the control unit 13 acquires the first relational expression indicating the relationship of the increase in ambient temperature with respect to the elapsed time from the past driving data.

[0063] In step S407, the control unit 13 of the information processing device 10 reads out the second relational expression calculated according to the flowchart shown in Fig. 5 from the storage unit 12. As a result, the control unit 13 acquires the second relational expression from past data in which the outside air temperature and the ambient temperature are associated with each other.

[0064] In step S408, the control unit 13 of the information processing device 10 calculates the maximum ambient temperature corresponding to the outside air temperature around the vehicle 20, estimated in step S401, based on the second relational expression acquired in step S407. In the present disclosure, the "maximum ambient temperature" includes, for example, an ambient temperature located on an approximation line for the maximum temperature among a plurality of ambient temperatures obtained for each of a plurality of outside air temperatures in past data. In step S408, the control unit 13 calculates the maximum ambient temperature at the traveling time when the outside air temperature was estimated in step S401.

[0065] In step S409, the control unit 13 of the information processing device 10 calculates the current ambient temperature based on the elapsed time calculated in step S405, the maximum reached temperature calculated in step S408, and the first relational expression acquired in step S406, which indicates the rising relationship of the ambient temperature. For example, the control unit 13 assumes that the ambient temperature, which was approximately the same as the estimated ambient temperature immediately after the engine was turned on, will reach the maximum reached temperature in the future, and links these two temperatures with the first relational expression having a predetermined time constant. The control unit 13 calculates the current ambient temperature, which is higher than the estimated ambient temperature, by correcting the ambient temperature estimated in step S401 using the first relational expression based on the unsteady heat conduction equation.

[0066] The control unit 13 of the information processing device 10 estimates the ambient temperature of the tires of the vehicle 20 through the above-mentioned flow.

[0067] FIG. 7 is a first diagram for explaining an example of processing executed by the information processing device 10 of FIG. 1. FIG. 7 is a graph showing past data stored in the memory unit 12 in step S303 of the flowchart of FIG. 5. In the past data, the outside air temperature and the ambient temperature are associated with each other. The horizontal axis of the graph in FIG. 7 indicates the outside air temperature, which is the temperature of the air around the measurement vehicle, measured by a temperature sensor in the measurement vehicle. The vertical axis of the graph in FIG. 7 indicates the ambient temperature of the tires of the measurement vehicle, measured by a temperature sensor in the measurement vehicle.

[0068] Basically, the continuous operation of the engine of the test vehicle generates heat, which increases the ambient temperature of the tires of the test vehicle that are in close proximity to the engine. Therefore, as shown in the graph of Figure 7, almost all of the ambient temperature values ​​are higher than the corresponding outside air temperature. In Figure 7, T1 <T2<T3<T4<T5である。

[0069] The control unit 13 calculates the second relational expression using an approximation line for the maximum temperature among a plurality of ambient temperatures obtained for each of a plurality of outside air temperatures in such past data. As an example, the control unit 13 calculates the second relational expression using a linear approximation line as shown by the dashed straight line in Fig. 7.

[0070] Fig. 8 is a second diagram for explaining an example of the process executed by the information processing device 10 of Fig. 1. Fig. 8 is a graph showing a comparison between the ambient temperature estimated by the information processing device 10 and an actual measurement value of the ambient temperature directly obtained using a temperature sensor or the like. In Fig. 8, the solid line indicates the ambient temperature estimated by the information processing device 10. The dashed line indicates the actual measurement value of the ambient temperature directly obtained using a temperature sensor or the like. The dotted line indicates the outside air temperature estimated by the information processing device 10 based on weather information.

[0071] In Fig. 8, the engine switches from on to off at the boundary of the two-dot chain line I. The engine switches from off to on at the boundary of the two-dot chain line II. In other words, the engine is off during the time period from the two-dot chain line I to the two-dot chain line II. The engine is on during other time periods.

[0072] At the time when the engine switches from on to off in the two-dot chain line II, the ambient temperature shown by the solid line is approximately the same as the outside air temperature shown by the dotted line. In the subsequent time period, the ambient temperature shown by the solid line tends to rise, deviating from the outside air temperature shown by the dotted line toward the higher temperature side. In this time period, the ambient temperature shown by the solid line tends to rise depending on the elapsed time since the engine switches from off to on. In this time period, the profile of the time change in the ambient temperature shown by the solid line matches well with the profile of the time change in the actual measured value of the ambient temperature shown by the dashed line. Therefore, the estimation process of the ambient temperature of the tire executed by the information processing device 10 in FIG. 1 functions with high accuracy.

[0073] According to the embodiment as described above, it is possible to contribute to obtaining information required for predicting the durability state of tires at low cost. For example, the information processing device 10 estimates the outside air temperature at the traveling position of the vehicle 20 at the traveling time based on the obtained traveling information and weather information. This allows the information processing device 10 to obtain the outside air temperature at the traveling position of the vehicle 20 without additionally attaching a temperature sensor, a recording device, and the like to the vehicle 20. The vehicle 20 only needs to have the original configuration required for traveling, and does not need to additionally have a temperature sensor, a recording device, and the like. Therefore, the cost of operating the vehicle 20 to predict the durability state of tires is reduced.

[0074] The information processing device 10 executes a process of estimating the ambient temperature of the tires of the vehicle 20 based on the estimated outside air temperature and the operating status of the engine of the vehicle 20. This allows the information processing device 10 to acquire the ambient temperature of the tires at the traveling position of the vehicle 20 at the traveling time without additionally attaching a temperature sensor, a recording device, and the like to the vehicle 20. The vehicle 20 only needs to have the original configuration required for traveling, and does not need to additionally have a temperature sensor, a recording device, and the like. This reduces the cost of the vehicle 20 when acquiring the ambient temperature of the tires as a parameter to predict the durability state of the tires.

[0075] In addition, the information processing device 10 executes a process of estimating the ambient temperature of the tires of the vehicle 20 based on the operating status of the engine of the vehicle 20, thereby making it possible to include the influence of the engine as a heat source in estimating the ambient temperature. The information processing device 10 can estimate the ambient temperature of the tires of the vehicle 20 with higher accuracy while including the influence of the engine as a heat source. As a result, the information processing device 10 can predict the durability state of the tires with higher accuracy.

[0076] In the process of estimating the ambient temperature, the information processing device 10 determines the operating status of the engine based on the change over time in the traveling position of the vehicle 20. This allows the information processing device 10 to acquire the operating status of the engine of the vehicle 20 without additionally attaching a sensor or the like to the vehicle 20 for acquiring information on the operating status of the engine. The vehicle 20 only needs to have the original configuration required for traveling, and does not need to have additional sensors or the like for acquiring information on the operating status of the engine. This reduces the cost of the vehicle 20 in the process of estimating the ambient temperature for predicting the durability state of the tires.

[0077] The information processing device 10 determines whether the engine of the vehicle 20 is on or off by determining whether the stopping time of the vehicle 20 exceeds a threshold value. As a result, the information processing device 10 can accurately determine whether the engine of the vehicle 20 is on or off based on the position information acquired by the acquisition unit 23 of the vehicle 20. The information processing device 10 can acquire the on or off of the engine of the vehicle 20 as information without additionally attaching a sensor or the like to the vehicle 20 for acquiring the on or off of the engine as information in the vehicle 20. The vehicle 20 only needs to have the original configuration required for traveling, and does not need to have an additional sensor or the like for acquiring the on or off of the engine as information. Therefore, the cost of the vehicle 20 in the estimation process of the ambient temperature for predicting the durability state of the tire is reduced.

[0078] In the process of estimating the ambient temperature, the information processing device 10 calculates the elapsed time since the engine of the vehicle 20 was turned on from off. This enables the information processing device 10 to more accurately execute the process of estimating the ambient temperature of the tire, which is necessary for predicting the durability state of the tire. The information processing device 10 executes a process of estimating the ambient temperature of the tire of the vehicle 20 based on the calculated elapsed time as well, thereby making it possible to include the influence of the elapsed time in estimating the ambient temperature. The information processing device 10 can more accurately estimate the ambient temperature of the tire of the vehicle 20 while including the influence of the elapsed time. As a result, the information processing device 10 can more accurately predict the durability state of the tire.

[0079] In the ambient temperature estimation process, the information processing device 10 acquires a first relational expression indicating the relationship of the increase in ambient temperature with respect to elapsed time from past driving data. This enables the information processing device 10 to more accurately execute the tire ambient temperature estimation process required to predict the tire durability state. The information processing device 10 can more accurately estimate the ambient temperature of the tires of the vehicle 20 according to the acquired first relational expression. As a result, the information processing device 10 can more accurately predict the tire durability state.

[0080] In the process of estimating the ambient temperature, the information processing device 10 calculates a second relational expression from past data in which the outside air temperature and the ambient temperature are mutually associated, and calculates the maximum reachable temperature of the ambient temperature corresponding to the estimated outside air temperature based on the second relational expression. This allows the information processing device 10 to more accurately execute the process of estimating the ambient temperature of the tire required for predicting the durability state of the tire. The information processing device 10 executes a process of estimating the ambient temperature of the tire of the vehicle 20 based on the calculated maximum reachable temperature as well, thereby making it possible to include the influence of the maximum reachable temperature in estimating the ambient temperature. For example, when the ambient temperature calculated based on the first relational expression exceeds the maximum reachable temperature of the ambient temperature calculated based on the second relational expression, the information processing device 10 can also determine the maximum reachable temperature as the ambient temperature. The information processing device 10 can more accurately estimate the ambient temperature of the tire of the vehicle 20 while including the influence of the maximum reachable temperature. As a result, the information processing device 10 can more accurately predict the durability state of the tire.

[0081] The information processing device 10 calculates the second relational expression using an approximation line for the maximum temperature among a plurality of ambient temperatures obtained for each of a plurality of outside air temperatures in past data. This enables the information processing device 10 to calculate the maximum reached ambient temperature with higher accuracy. The information processing device 10 can use a more accurate maximum reached temperature in the estimation process of the ambient temperature of the tire, which is necessary to predict the durability state of the tire, and as a result, it becomes possible to estimate the ambient temperature with higher accuracy. As a result, the information processing device 10 can predict the durability state of the tire with higher accuracy.

[0082] Although the present disclosure has been described based on the drawings and embodiments, it should be noted that those skilled in the art can make various modifications and changes based on the present disclosure. Therefore, it should be noted that these modifications and changes are included in the scope of the present disclosure. For example, the functions included in each configuration or each step can be rearranged so as not to be logically inconsistent, and multiple configurations or steps can be combined or divided into one.

[0083] For example, a general-purpose electronic device such as a smartphone or a computer can be configured to function as the information processing device 10 according to the embodiment described above. Specifically, a program describing the processing contents for realizing each function of the information processing device 10 according to the embodiment is stored in the memory of the electronic device, and the program is read and executed by the processor of the electronic device. Therefore, the present disclosure can also be realized as a program executable by a processor.

[0084] Alternatively, the present disclosure may be realized as a non-transitory computer-readable medium storing a program executable by one or more processors to cause the information processing device 10 according to an embodiment to execute each function. It should be understood that these are also included in the scope of the present disclosure.

[0085] For example, at least a part of the processing operations executed in the information processing device 10 in the above-described embodiment may be executed in the vehicle 20. For example, instead of the information processing device 10, the vehicle 20 itself may execute the above-described series of processing operations related to the information processing device 10. At least a part of the processing operations executed in the vehicle 20 may be executed in the information processing device 10.

[0086] The information processing device 10 and the vehicle 20 do not have to be communicatively connected to each other via the network 30. For example, the information processing device 10 may be mounted on the vehicle 20 and communicatively connected directly to the vehicle 20 without the network 30.

[0087] In addition to the various processes described in the above embodiment, the information processing device 10 may execute an ambient temperature estimation process using a different algorithm for each tire mounting position on the vehicle 20. For example, the information processing device 10 may acquire information on the mounting position of the tires on the vehicle 20, and estimate the ambient temperature for each tire on the vehicle 20 using a different algorithm based on the information. The algorithm includes a method for calculating a first relational expression showing the relationship of the increase in ambient temperature with respect to elapsed time, and a method for calculating the maximum ambient temperature based on a second relational expression. As a result, the information processing device 10 can estimate the ambient temperature for each tire on the vehicle 20 with higher accuracy.

[0088] In the above embodiment, the information processing device 10 executes the process of estimating the ambient temperature of the tires of the vehicle 20 based on the estimated outside air temperature and the operating status of the engine of the vehicle 20. However, the present invention is not limited to this. The information processing device 10 may execute the process of estimating the ambient temperature of the tires of the vehicle 20 by any other method based on the estimated outside air temperature.

[0089] In the above embodiment, the information processing device 10 has been described as determining the operation status of the engine of the vehicle 20 based on the time change in the traveling position of the vehicle 20 in the ambient temperature estimation process, but the present invention is not limited to this. The information processing device 10 may determine the operation status of the engine by directly acquiring information on the operation status of the engine acquired by a sensor or the like in the vehicle 20.

[0090] In the above embodiment, the information processing device 10 determines whether the engine is on or off by determining whether the stop time of the vehicle 20 exceeds a threshold value, but the present invention is not limited to this. The information processing device 10 may determine whether the engine is on or off by directly acquiring information indicating whether the engine is on or off that is acquired by a sensor or the like in the vehicle 20.

[0091] In the above embodiment, the information processing device 10 calculates the elapsed time from when the engine of the vehicle 20 is turned on from off in the ambient temperature estimation process, but the present invention is not limited to this. The information processing device 10 does not need to execute such a calculation process.

[0092] In the above embodiment, the information processing device 10 has been described as acquiring the first relational expression indicating the relationship of the increase in the ambient temperature with respect to the elapsed time from the past driving data in the estimation process of the ambient temperature, but is not limited thereto. The information processing device 10 may acquire a machine learning model based on the past driving data in which the elapsed time and the ambient temperature are associated with each other, and may acquire the relationship of the increase in the ambient temperature with respect to the elapsed time using the machine learning model. The machine learning model may include, for example, a model constructed by multiple regression analysis with the ambient temperature in the driving data as the objective variable and the elapsed time in the driving data as the explanatory variable. In addition, the machine learning model may include a model constructed using other methods such as a neural network.

[0093] In the above embodiment, the information processing device 10 has been described as calculating the second relational expression from past data in which the outside air temperature and the ambient temperature are associated with each other in the estimation process of the ambient temperature, and calculating the maximum reached temperature of the ambient temperature corresponding to the estimated outside air temperature based on the second relational expression, but is not limited thereto. The information processing device 10 may obtain a machine learning model based on past data in which the outside air temperature and the ambient temperature are associated with each other, and obtain the maximum reached temperature for the outside air temperature using the machine learning model. The machine learning model may include, for example, a model constructed by multiple regression analysis with the maximum reached temperature in the past data as the objective variable and the outside air temperature in the past data as the explanatory variable. In addition, the machine learning model may include a model constructed using other methods such as a neural network.

[0094] The information processing device 10 may obtain a machine learning model based on past data in which the outside air temperature, the elapsed time, and the ambient temperature are associated with each other, and may directly obtain the ambient temperature relative to the outside air temperature and the elapsed time using the machine learning model. The machine learning model may include, for example, a model constructed by multiple regression analysis with the ambient temperature in the past data as the objective variable and the outside air temperature and the elapsed time in the past data as the explanatory variables. In addition, the machine learning model may include a model constructed using other methods such as a neural network.

[0095] In the above embodiment, the information processing device 10 calculates the second relational expression using an approximation line for the maximum temperature among the multiple ambient temperatures obtained for each of the multiple outside air temperatures in the past data, but this is not limited to the above. The information processing device 10 may calculate the second relational expression based on any other temperature other than the maximum temperature. For example, the information processing device 10 may calculate the second relational expression using an approximation line for the average value of the multiple ambient temperatures obtained for each of the multiple outside air temperatures in the past data.

[0096] In the above embodiment, the information processing device 10 calculates the second relational expression using a linear approximation line as shown by the dashed straight line in Fig. 7, but is not limited thereto. The information processing device 10 may calculate the second relational expression using a non-linear approximation line.

[0097] In the above embodiment, the information processing device 10 has been described as acquiring from the vehicle 20 the driving information generated by associating the driving position with the driving time in the vehicle 20, but is not limited thereto. The information processing device 10 may acquire only the driving position information from the vehicle 20 and generate the driving information by the information processing device 10 itself. In this case, the information processing device 10 may acquire the time when only the driving position information is acquired from the vehicle 20 from information held within the information processing device 10 itself, or may acquire it from an arbitrary external server via the network 30 and the communication unit 11.

[0098] In the above embodiment, when there is a time period where information is missing in the acquired weather information, the information processing device 10 executes a linear interpolation process that connects the sampling points of information located at both ends of the time period, but is not limited to this. The information processing device 10 may execute a non-linear interpolation process.

[0099] In the above embodiment, when there is a spatial region where information is missing in the acquired weather information, the information processing device 10 executes linear interpolation processing to connect the sampling points of information located at both ends of the spatial region, but is not limited to this. The information processing device 10 may execute nonlinear interpolation processing. [Industrial Applicability]

[0100] According to the present disclosure, it is possible to provide an information processing device, an information processing system, a program, and an information processing method that can contribute to obtaining information necessary for predicting the durability state of a tire at low cost.

[0101] [Contribution to the United Nations-led Sustainable Development Goals (SDGs)] The SDGs have been proposed to realize a sustainable society. An embodiment of the present disclosure is considered to be a technology that contributes to "No. 9_Let's build infrastructure for industry and technological innovation," "No. 12_Responsible consumption and production," and "No. 13_Concrete measures against climate change." [Explanation of symbols]

[0102] 1. Information Processing Systems 10. Information processing device 11 Communications Department 12 Storage section 13 Control section 20 Vehicles 21 Communications Department 22 Memory section 23 Acquisition Department 24 Control Unit 30 Network

Claims

1. a control unit that acquires travel information including a travel time and a travel position from the vehicle, acquires meteorological information for the vicinity of the travel position at the travel time based on the acquired travel information, and estimates an outside air temperature at the travel position at the travel time based on the acquired travel information and meteorological information; Equipped with Information processing device.

2. 2. The information processing device according to claim 1, The control unit executes a process of estimating an ambient temperature of a tire of the vehicle based on the estimated outside air temperature and an operating state of the engine of the vehicle. Information processing device.

3. 3. The information processing device according to claim 2, The control unit, in the process, determines the operating status based on a change over time in the traveling position. Information processing device.

4. 4. The information processing device according to claim 3, The control unit determines whether the engine is on or off by determining whether the vehicle stop time exceeds a threshold value. Information processing device.

5. 5. The information processing device according to claim 2, The control unit calculates an elapsed time from when the engine is turned on after being turned off in the process. Information processing device.

6. 6. The information processing device according to claim 5, The control unit, in the process, obtains a first relational expression indicating a relationship of the increase in the ambient temperature with respect to the elapsed time from past running data. Information processing device.

7. 5. The information processing device according to claim 2, In the process, the control unit calculates a second relational expression from past data in which the outside air temperature and the ambient temperature are associated with each other, and calculates a maximum attained temperature of the ambient temperature corresponding to the estimated outside air temperature based on the second relational expression. Information processing device.

8. The information processing device according to claim 7, The control unit calculates the second relational expression using an approximation line for a maximum temperature among the plurality of ambient temperatures obtained for each of the plurality of outside air temperatures in the past data. Information processing device.

9. 5. The information processing device according to claim 2, The control unit executes the process using a different algorithm for each mounting position of the tire on the vehicle. Information processing device.

10. An information processing device according to any one of claims 1 to 4, a vehicle that provides the driving information to the information processing device; Equipped with Information processing system.

11. In the information processing device, Acquiring travel information from a vehicle, the travel information including a travel time and a travel position; acquiring weather information for the vicinity of the traveling position at the traveling time based on the acquired traveling information; estimating an outside air temperature at the traveling position at the traveling time based on the acquired traveling information and the weather information; performing an action including program.

12. An information processing method executed in an information processing device, Acquiring travel information from a vehicle, the travel information including a travel time and a travel position; acquiring weather information for the vicinity of the traveling position at the traveling time based on the acquired traveling information; estimating an outside air temperature at the traveling position at the traveling time based on the acquired traveling information and the weather information; Including, Information processing methods.

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