Tire abnormality determination device, program and tire abnormality determination method

Abstract

To provide a tire abnormality determination device, a program and a tire abnormality determination method capable of accurately determining abnormality of a tire attached to a vehicle.SOLUTION: A tire abnormality determination device (10) includes an acquisition part (131) for acquiring information on a state of a tire detected by a device mounted on a vehicle and information on a traveling state of the vehicle, a data processing part (132) for specifying a stop time being a time being during stopping of the vehicle on the basis of the information on the traveling state of the vehicle, removing information corresponding to the stop time from the information on the state of the tire, and generating time series data of internal pressure of the tire from the information on the state of the time with the information corresponding to the stop time removed, and a determination part (133) for determining the existence / nonexistence of a slow leak of the tire on the basis of the time series data of the internal pressure of the tire.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a tire abnormality determination device, a program, and a tire abnormality determination method. [Background technology]

[0002] Tire pressure monitoring systems (TPMS) that are installed in vehicles and that detect and warn of undesirable tire pressure drops have been known. For example, Patent Document 1 discloses a tire pressure monitoring system that determines whether an abnormal drop has occurred by comparing the amount of change in tire pressure with a predetermined reference amount of change. Patent Document 1 also discloses a system that corrects the detected tire pressure to a reference pressure value, which is the pressure at a predetermined reference temperature, based on the tire's internal temperature, and calculates the amount of tire pressure change by subtracting the reference pressure value from the initial value. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-165895 Summary of the Invention [Problem to be solved by the invention]

[0004] The inventors of the present invention conducted extensive research into the internal temperature of tires and found that variations in the internal temperature occur when a vehicle is stopped. Inaccurate temperature measurements reduce detection accuracy, particularly in determining slow tire leaks. A slow leak is a tire leak in which air pressure decreases at a rate that exceeds natural decompression, rather than the rapid loss of air that occurs with a puncture. Therefore, there is a demand for technology that can accurately determine tire abnormalities, including slow leaks.

[0005] In view of the above circumstances, an object of the present disclosure is to provide a tire abnormality determination device, a program, and a tire abnormality determination method that can accurately determine abnormalities in tires mounted on a vehicle. [Means for solving the problem]

[0006] (1) A tire abnormality determination device according to an embodiment of the present disclosure includes: an acquisition unit that acquires information about the tire condition detected by a device mounted on the vehicle and information about the running condition of the vehicle; a data processing unit that identifies a stop time during which the vehicle is stopped based on information about the running state of the vehicle, excludes information corresponding to the stop time from the information about the tire state, and generates time-series data of the tire internal pressure from the information about the tire state from which the information corresponding to the stop time has been excluded; and a determination unit that determines whether or not a slow leak occurs in the tire based on time-series data of the internal pressure of the tire. This configuration makes it possible to accurately determine abnormalities in tires mounted on a vehicle.

[0007] (2) As one embodiment of the present disclosure, in (1), the data processing unit calculates a representative value of the tire internal pressure for each predetermined period, and generates time-series data of the tire internal pressure using the representative value; The determination unit determines whether or not a slow leak occurs in the tire based on time-series data of the tire internal pressure generated using the representative value. This configuration reduces the influence of measurement errors and the like in the measured values, making it possible to more accurately determine abnormalities in tires mounted on a vehicle.

[0008] (3) As an embodiment of the present disclosure, in (1) or (2), The data processing unit performs temperature correction on the internal pressure of the tire using the internal temperature of the tire obtained from information on the state of the tire excluding information corresponding to the stop time, and generates time series data of the internal pressure of the tire using the converted internal pressure converted to the internal pressure at a predetermined temperature by the temperature correction. This configuration makes it possible to more accurately determine abnormalities in tires mounted on a vehicle by using time-series data of tire internal pressure that has been corrected for fluctuations in internal pressure due to temperature.

[0009] (4) As an embodiment of the present disclosure, in any one of (1) to (3), The information relating to the vehicle's running state is GPS information indicating the position of the vehicle. This configuration enables accurate determination of the vehicle's driving state based on GPS information.

[0010] (5) A program according to an embodiment of the present disclosure includes: Tire abnormality detection device Obtaining information about the tire condition detected by a device mounted on a vehicle and information about the running condition of the vehicle; Identifying a stop time during which the vehicle is stopped based on information related to the running state of the vehicle, excluding information corresponding to the stop time from the information related to the tire state, and generating time-series data of the tire internal pressure from the information related to the tire state from which the information corresponding to the stop time has been excluded; and determining whether or not there is a slow leak in the tire based on time-series data of the internal pressure of the tire. This configuration makes it possible to accurately determine abnormalities in tires mounted on a vehicle.

[0011] (6) A tire abnormality determination method according to an embodiment of the present disclosure includes: A tire abnormality determination method executed by a tire abnormality determination device, Obtaining information about the tire condition detected by a device mounted on a vehicle and information about the running condition of the vehicle; Identifying a stop time during which the vehicle is stopped based on information related to the running state of the vehicle, excluding information corresponding to the stop time from the information related to the tire state, and generating time-series data of the tire internal pressure from the information related to the tire state from which the information corresponding to the stop time has been excluded; and determining whether or not there is a slow leak in the tire based on time-series data of the internal pressure of the tire. This configuration makes it possible to accurately determine abnormalities in tires mounted on a vehicle. [Effects of the Invention]

[0012] According to the present disclosure, it is possible to provide a tire abnormality determination device, a program, and a tire abnormality determination method that can accurately determine an abnormality in a tire mounted on a vehicle. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of a tire abnormality determination system including a tire abnormality determination device according to an embodiment of the present disclosure. [Figure 2] FIG. 2 is another diagram showing an example of the configuration of the tire abnormality determination system of FIG. [Figure 3] FIG. 3 is a diagram for explaining variations in the internal temperature of a tire. [Figure 4] FIG. 4 is a diagram for explaining the removal of information corresponding to the stop time. [Figure 5] FIG. 5 is a diagram for explaining the determination of the presence or absence of a slow leak in a tire. [Figure 6] FIG. 6 is an example of a flowchart illustrating the processing of a tire abnormality determination method according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0014] A tire abnormality determination device 10 (see FIG. 1), a program, and a tire abnormality determination method according to one embodiment of the present disclosure will be described below with reference to the drawings. In each drawing, identical or corresponding parts are designated by the same reference numerals. In the description of this embodiment, the description of identical or corresponding parts will be omitted or simplified as appropriate.

[0015] 1 and 2 are diagrams showing an example of the configuration of a tire abnormality determination system. The tire abnormality determination system includes a tire abnormality determination device 10. Fig. 1 is a block diagram including an example of the internal configuration of the tire abnormality determination device 10 and an example of the configuration of a device mounted on a vehicle 20. Fig. 2 shows the overall configuration of the tire abnormality determination system.

[0016] The tire abnormality determination device 10 according to this embodiment determines an abnormality in a tire 30 mounted on a vehicle 20. An abnormality in the tire 30 is an abnormality related to the internal pressure (air pressure) of the tire 30, and includes at least a slow leak. An abnormality in the tire 30 may also include a puncture. A slow leak and a puncture are phenomena in which, for example, damage to the tire 30 causes air to leak out of the tire, resulting in an insufficient air pressure. A puncture is a sudden air leak from the tire 30, resulting in a significant decrease in air pressure over a short period of time (e.g., 10 minutes). A slow leak is not as rapid as a puncture, but refers to an air leak from the tire 30 in which the air pressure decreases at a rate that exceeds natural decompression. Determining a slow leak requires analyzing changes in the internal pressure of the tire 30 over a long period of time (e.g., 7 to 14 days). Here, the vehicle 20 may be, for example, a passenger car, truck, bus, or construction vehicle, and is not limited to a specific type of moving object. In the example of FIG. 2, the vehicle 20 is shown as a truck. In addition, to avoid redundancy in the illustrations of FIGS. 1 and 2, only one vehicle 20 is shown, but the tire abnormality determination system may be configured to include a plurality of vehicles 20.

[0017] The tire abnormality determination device 10 includes a communication unit 11, a storage unit 12, and a control unit 13. The control unit 13 includes an acquisition unit 131, a data processing unit 132, a determination unit 133, and an output unit 134. The tire abnormality determination device 10 may be configured as hardware, for example, a computer. The computer may be a server computer or a portable computer such as a laptop or tablet. Details of the components of the tire abnormality determination device 10 will be described later. In this embodiment, the tire abnormality determination device 10 is a computer used by an organization that manages tires 30 mounted on vehicles 20. For example, if the vehicles 20 are a group of trucks (fleet) owned by a transportation company, the tire abnormality determination device 10 may be installed in a facility that manages and repairs the tires 30 of the fleet. Here, the tire abnormality determination device 10 does not have to be a single device, but may be configured as multiple devices located in multiple locations that can send and receive data between them via a network 40. In other words, multiple devices connected via the network 40 may function as a whole as the tire abnormality determination device 10 shown in Fig. 1. Therefore, for example, the tire abnormality determination device 10 may be configured as a single computer in terms of hardware configuration, or may be configured as multiple computers connected via the network 40. When configured as multiple computers, the storage unit 12 may be a shared memory that can be accessed by each of the computers.

[0018] The tire abnormality determination device 10 may constitute a tire abnormality determination system together with devices (the detection device 70 and the on-board communication device 80 in this embodiment) mounted on the vehicle 20 connected via a network 40. The network 40 may be, for example, the Internet. The network 40 may also be configured to include, for example, a local area network (LAN) in part. The tire abnormality determination system may further include a terminal device 50 used by an administrator managing the tires 30 or a technician repairing the tires 30. The terminal device 50 may be, for example, a general-purpose mobile terminal such as a smartphone or a tablet terminal, but is not limited to these. The terminal device 50 may function as a display unit that displays the determination results output by the output unit 134, which will be described later. The tire abnormality determination system may also include a storage device 90 (cloud-based storage device 90) on the network 40 as viewed from the tire abnormality determination device 10 and the devices mounted on the vehicle 20. In this embodiment, the storage device 90 includes a database that stores information about the state of the tires 30 detected by devices mounted on the vehicle 20 and information about the running state of the vehicle 20 as time-series data, while linking the information to the vehicle 20 that is the detection target. Also, in this embodiment, the tire abnormality determination device 10 acquires, as input information, information about the state of the tires 30 and position information of the vehicle 20 from the database via the network 40.

[0019] In this embodiment, the vehicle 20 includes a detection device 70 and an on-board communication device 80. The detection device 70 is a device or on-board system that includes sensors and generates information about the condition of the tires 30. In this embodiment, the detection device 70 includes a tire pressure monitoring system (TPMS).

[0020] The tire pressure monitoring system monitors the pressure (internal pressure) and temperature (internal temperature of the tire 30) of a tire 30 attached to a vehicle 20. The tire pressure monitoring system may be configured to include, for example, a sensor installed inside the tire 30, a processor that calculates and outputs the pressure of the tire 30 based on the detected value of the sensor, and a memory that stores the detected value of the sensor. The sensor may include a pressure sensor and a temperature sensor.

[0021] The on-board communication device 80 is a device that outputs information about the state of the tire 30 detected by the detection device 70 so that the information is stored in a database. In this embodiment, the on-board communication device 80 is realized by the communication function of a digital tachograph, but is not limited to this and may be, for example, a dedicated communication device. In addition, in this embodiment, the on-board communication device 80 outputs information about the current position of the vehicle 20 to the storage device 90. In this embodiment, the on-board communication device 80 has a GPS (Global Positioning System) function and outputs GPS information including coordinates as position information of the vehicle 20. That is, in this embodiment, the on-board communication device 80 outputs information about the internal pressure and internal temperature of the tire 30 and the position of the vehicle 20, and this information is stored in the database of the storage device 90 on the cloud. The information about the internal pressure and internal temperature of the tire 30 is used as information about the state of the tire 30. In addition, the information about the position of the vehicle 20 is used as information about the running state of the vehicle 20. Here, the information about the state of the tire 30 includes the internal pressure and internal temperature of the tire 30, but may also include other information (e.g., measurement time). Furthermore, in this embodiment, the information regarding the running state of the vehicle 20 is GPS information indicating the position of the vehicle 20, but is not limited to GPS information and may be any information that can determine the speed of the vehicle 20. As another example, the information regarding the running state of the vehicle 20 may be information from the speedometer of the vehicle 20. However, it is preferable that the information regarding the running state of the vehicle 20 be GPS information so that the running state of the vehicle 20 can be accurately determined.

[0022] The components of the tire abnormality determination device 10 will be described in detail below. The communication unit 11 is configured to include one or more communication modules connected to the network 40. The communication unit 11 may include a communication module compatible with mobile communication standards such as 4G (4th Generation) and 5G (5th Generation). The communication unit 11 may include a communication module compatible with a wired or wireless LAN standard, for example.

[0023] The storage unit 12 is one or more memories. The memory may be, for example, a semiconductor memory, a magnetic memory, an optical memory, or the like, but is not limited to these, and may be any memory. The storage unit 12 is, for example, built into the tire abnormality determination device 10, but may also be configured to be accessed from outside by the tire abnormality determination device 10 via any interface.

[0024] The storage unit 12 stores various data used in various calculations performed by the control unit 13. The storage unit 12 may also store results and intermediate data of various calculations performed by the control unit 13.

[0025] In this embodiment, the storage unit 12 may temporarily store various types of information from the database of the storage unit 90 on the cloud, which information is acquired via the communication unit 11. For example, since the time-series data regarding the conditions of all tires 30 in the fleet is very large in size, only the data of the tire 30 that is the target of abnormality determination may be acquired from the storage unit 90 and temporarily stored in the storage unit 12.

[0026] The control unit 13 is one or more processors. The processor may be, for example, a general-purpose processor or a dedicated processor specialized for a specific process, but is not limited to these and may be any processor. The control unit 13 controls the overall operation of the tire abnormality determination device 10.

[0027] Here, the tire abnormality determination device 10 may have the following software configuration: One or more programs used to control the operation of the tire abnormality determination device 10 are stored in the storage unit 12. When the programs stored in the storage unit 12 are read by the processor of the control unit 13, they cause the control unit 13 to function as an acquisition unit 131, a data processing unit 132, a determination unit 133, and an output unit 134.

[0028] The acquisition unit 131 acquires information related to the state of the tire 30 detected by a device mounted on the vehicle 20 and information related to the running state of the vehicle 20. In this embodiment, the information related to the state of the tire 30 includes information on the internal pressure of the tire 30 and information on the internal temperature of the tire 30, each of which is linked to the vehicle 20 and acquired as time-series data. Also, in this embodiment, the information related to the running state of the vehicle 20 includes GPS information (location information) of the vehicle 20 and is acquired as time-series data. Therefore, the speed calculated based on the location information of the vehicle 20 can be associated with the internal pressure and internal temperature of the tire 30 mounted on the vehicle 20 via time.

[0029] The data processing unit 132 identifies a stop time, which is a time when the vehicle 20 is stopped, based on information related to the traveling state of the vehicle 20. The vehicle 20 being stopped means that the vehicle 20 is not moving during the stop determination reference time, and includes, for example, a state in which the vehicle is not driving (parked), but may also include a temporary stop that is shorter than parking. The stop determination reference time is not limited to a specific value and may be, for example, one hour, 30 minutes, or 15 minutes. The stop determination reference time is set, for example, longer than the time interval (for example, one minute) at which GPS information is acquired. In other words, the stop determination reference time may be determined based on the time interval at which the position information of the vehicle 20 is measured. The data processing unit 132 identifies, for example, a time from bb to cc on aa day as the stop time based on the GPS information.

[0030] The data processing unit 132 excludes information corresponding to the stop time from the information regarding the state of the tire 30. In this embodiment, the data processing unit 132 performs processing to delete data corresponding to the stop time from the information regarding the internal pressure of the tire 30 and the information regarding the internal temperature of the tire 30. The data processing unit 132 also generates time-series data of the internal pressure of the tire 30 from the information regarding the state of the tire 30 from which the information corresponding to the stop time has been excluded. The reason for excluding the information corresponding to the stop time from the information regarding the state of the tire 30 will be explained below with reference to FIGS. 3 and 4. FIG. 3 is a diagram for explaining the variation in the internal temperature of the tire 30. FIG. 4 is a diagram for explaining the exclusion of information corresponding to the stop time by comparison with a conventional method.

[0031] As described above, the inventors conducted extensive research into the internal temperature of the tire 30 and found that variations in the internal temperature of the tire 30 occur when the vehicle 20 is stopped. The TPMS temperature sensor is located, for example, at a single location on the inside of the rim of the tire 30. Furthermore, the circumferential position of the tire 30 that contacts the road at each stop is random. Therefore, when the vehicle 20 stops, the temperature sensor may be located close to the road or far from the road. Furthermore, when the vehicle 20 stops, some tires 30 may be in the sun and some may be in the shade. Figure 3 plots the internal temperature measurements of the tires 30 of the same vehicle 20 as a function of internal pressure. Some measurements show high internal temperatures that deviate from the theoretical value based on Boyle's law (the dotted line in Figure 3). High internal temperature measurements are likely due to, for example, the temperature sensor being located close to the road when stopped, resulting in heat from the road or direct sunlight. Therefore, the internal temperature information of the tire 30 corresponding to the stop time may contain significant errors. Similarly, the pressure sensor of the TPMS may be disposed at one location on the tire 30, and the information on the internal pressure of the tire 30 corresponding to the stopping time may have a large error.

[0032] For example, as shown in FIG. 4, the internal pressure of the tire 30 may be converted to the internal pressure at a predetermined temperature (e.g., 25°C) by temperature correction, and the converted internal pressure (converted internal pressure) may be used to determine a representative value. The representative value is a statistical value calculated from multiple measured values, such as the median, average, or mode value for a predetermined period (e.g., one day). In this case, conventional methods (e.g., the method described in Patent Document 1) do not distinguish whether the vehicle 20 is stopped or not, and therefore deviations from the correct value occur due to the influence of errors in the internal temperature of the tire 30 corresponding to the stopped time. Here, the correct value is the value obtained when there is no error in each of the multiple measured values, and is indicated by the dashed line in FIG. 4. In contrast, the method of the present embodiment excludes information corresponding to the stopped time from information regarding the state of the tire 30, making it possible to calculate a representative value that is closer to the correct value (with less error).

[0033] Furthermore, the data processing unit 132 may perform temperature correction on the internal pressure of the tire 30 using the internal temperature of the tire 30 obtained from information about the state of the tire 30, excluding information corresponding to the stop time. The temperature correction may be performed using a known method, for example, a trained model generated by machine learning using past measured values ​​of the internal temperature and internal pressure as training data. The data processing unit 132 may calculate a converted internal pressure converted to the internal pressure at a predetermined temperature using the temperature correction, and generate time-series data on the internal pressure of the tire 30 by arranging the calculated temperature corrections in chronological order.

[0034] Furthermore, the data processing unit 132 may calculate a representative value of the internal pressure of the tire 30 for each predetermined period, and generate time-series data of the internal pressure of the tire 30 using the representative value.

[0035] The determination unit 133 determines whether or not there is a slow leak in the tire 30 based on time-series data of the internal pressure of the tire 30. FIG. 5 is a diagram for explaining the determination of whether or not there is a slow leak in the tire 30. As described above, a slow leak is an air leak in the tire 30 in which the air pressure decreases at a rate that exceeds the natural decrease in pressure, rather than a state in which air is lost as suddenly as in a puncture. Therefore, in order to determine whether or not there is a slow leak, it is necessary to wait for a long time (P in FIG. 5) a ) analysis of the change in the internal pressure of the tire 30 is required. a For example, the time period is 14 days, and preferably at least 7 days for accurate slow leak determination. The time-series data of the internal pressure of the tire 30 generated by the data processing unit 132 may be stored in the storage unit 12. Then, the time period P a If the time series data of the internal pressure of the tire 30 corresponding to P cannot be obtained, the determination unit 133 also obtains the past time series data stored in the storage unit 12, and determines that the total a For example, the determination unit 133 may prepare time series data for a period of P a If the rate of decrease in internal pressure of the tire 30 during the test is greater than the rate of decrease due to natural pressure decrease, it may be determined that a slow leak exists. The rate of decrease due to natural pressure decrease may be determined in advance, for example, based on actual measurements (performance values) of the same type of tire 30 that have not been abnormally measured in the past. In this way, the tire abnormality determination device 10 can accurately determine an abnormality in the tire 30 mounted on the vehicle 20 by excluding information corresponding to the stop time from information related to the state of the tire 30. This method is particularly effective in detecting slow leaks, which are easily affected by errors in internal temperature, but can also be applied to detecting punctures and the like.

[0036] Here, when the data processing unit 132 performs temperature correction, the determination unit 133 determines whether or not there is a slow leak in the tire 30 based on the time series data of the internal pressure of the tire 30 after temperature correction (time series data of the converted internal pressure). At this time, the time series data of the internal pressure of the tire 30 corrected for fluctuations in the internal pressure according to the temperature can be used to more accurately determine whether or not there is an abnormality in the tire 30 mounted on the vehicle 20.

[0037] Furthermore, when the data processing unit 132 generates time-series data of the internal pressure of the tire 30 using the representative value, the determination unit 133 determines whether or not there is a slow leak in the tire 30 based on the time-series data of the representative value of the internal pressure. At this time, the influence of measurement errors in the measured values ​​can be reduced, and an abnormality in the tire 30 mounted on the vehicle 20 can be determined more accurately.

[0038] The output unit 134 outputs the determination result, including the presence or absence of an abnormality in the tire 30 determined by the determination unit 133, to the terminal device 50 or the like. In addition to the presence or absence of an abnormality in the tire 30, the terminal device 50 may also display the change in internal pressure over time as shown in FIG. 5 . As described above, the terminal device 50 may be used, for example, by an administrator who manages the tire 30 or a worker who repairs the tire 30. In this case, in response to the determination result that an abnormality exists in the tire 30, the administrator or worker can quickly take action such as replacing or repairing the tire 30. In other words, the determination result by the tire abnormality determination device 10 is useful for appropriate management of the tire 30 and for operating the vehicle 20 as planned.

[0039] The tire abnormality determination system according to this embodiment may execute the following processing of the tire abnormality determination method. Fig. 6 is an example of a flowchart showing the processing of the tire abnormality determination method according to this embodiment. By executing the processing of the tire abnormality determination method described below, it is possible to accurately determine an abnormality in the tire 30 mounted on the vehicle 20.

[0040] The acquisition unit 131 acquires information relating to the state of the tire 30 detected by a device mounted on the vehicle 20 and information relating to the running state of the vehicle 20 (step S1).

[0041] The data processing unit 132 identifies the stop time, which is the time when the vehicle 20 is stopped, based on the information related to the traveling state of the vehicle 20 (step S2).

[0042] The data processing unit 132 excludes information corresponding to the stop time from the information relating to the state of the tire 30 (step S3).

[0043] The data processing unit 132 performs temperature correction on the internal pressure of the tire 30 using the internal temperature of the tire 30 obtained from the information on the state of the tire 30 excluding the information corresponding to the stop time. Then, the data processing unit 132 calculates the converted internal pressure converted to the internal pressure at a predetermined temperature by the temperature correction (step S4).

[0044] The data processing unit 132 also calculates a representative value of the converted internal pressure of the tire 30 for each predetermined period, and generates time-series data of the internal pressure of the tire 30 using the representative value (step S5). The representative value is, for example, the median value of the converted internal pressure for one day. The time-series data of the internal pressure of the tire 30 generated in this manner is data that reduces the effects of variations in the internal temperature of the tire 30 during the stopped time, fluctuations in the internal pressure depending on the temperature, and measurement errors in the measured values.

[0045] The determination unit 133 determines whether or not there is a slow leak in the tire 30 based on the time-series data of the internal pressure of the tire 30 (step S6).

[0046] The output unit 134 outputs the determination result including the presence or absence of slow leak in the tire 30 determined by the determination unit 133 to the terminal device 50 or the like (step S7).

[0047] As described above, the tire abnormality determination device 10, program, and tire abnormality determination method according to the present embodiment can accurately determine abnormalities, including slow leaks, in the tire 30 mounted on the vehicle 20 due to the above-described configuration.

[0048] Although the embodiments of the present disclosure have been described based on the drawings and examples, it should be noted that a person skilled in the art would easily be able to make various modifications or alterations based on the present disclosure. Therefore, it should be noted that these modifications or alterations are included in the scope of the present disclosure. For example, the functions included in each component or step can be rearranged so as not to cause logical inconsistencies, and multiple components or steps can be combined into one or divided. The embodiments of the present disclosure can also be realized as a storage medium on which a program executed by a processor provided in an apparatus is recorded. It should be understood that these are also included in the scope of the present disclosure. Contribution to the Sustainable Development Goals (SDGs) led by the United Nations

[0049] The SDGs have been proposed to realize a sustainable society. One embodiment of the present disclosure is believed to be a technology that can contribute to "No. 9: Build resilient infrastructure for industry, innovation and other areas." [Explanation of symbols]

[0050] 10. Tire abnormality detection device 11 Communications Department 12 Storage section 13 Control Unit 20 vehicles 30 tires 40 Network 50 Terminal Equipment 70 Detection Device 80 In-vehicle communication device 90 Storage device 131 Acquisition Department 132 Data Processing Unit 133 Judgment section 134 Output section

Claims

1. an acquisition unit that acquires information about the tire condition detected by a device mounted on the vehicle and information about the running condition of the vehicle; a data processing unit that identifies a stop time during which the vehicle is stopped based on information about the running state of the vehicle, excludes information corresponding to the stop time from the information about the tire state, and generates time-series data of the tire internal pressure from the information about the tire state from which the information corresponding to the stop time has been excluded; a determination unit that determines whether or not a slow leak occurs in the tire based on time-series data of the internal pressure of the tire.

2. the data processing unit calculates a representative value of the tire internal pressure for each predetermined period, and generates time-series data of the tire internal pressure using the representative value; The tire abnormality determination device according to claim 1 , wherein the determination unit determines whether or not a slow leak occurs in the tire based on time-series data of the tire internal pressure generated using the representative value.

3. 3. The tire abnormality determination device according to claim 1, wherein the data processing unit performs temperature correction on the internal pressure of the tire using the internal temperature of the tire obtained from information on the state of the tire from which information corresponding to the stop time has been excluded, and generates time-series data of the internal pressure of the tire using the converted internal pressure converted to the internal pressure at a predetermined temperature by the temperature correction.

4. 3. The tire abnormality determination device according to claim 1, wherein the information relating to the vehicle's running state is GPS information indicating the position of the vehicle.

5. Tire abnormality detection device Obtaining information about the tire condition detected by a device mounted on a vehicle and information about the running condition of the vehicle; Identifying a stop time during which the vehicle is stopped based on information related to the running state of the vehicle, excluding information corresponding to the stop time from the information related to the tire state, and generating time-series data of the tire internal pressure from the information related to the tire state from which the information corresponding to the stop time has been excluded; and determining whether or not there is a slow leak in the tire based on time-series data of the internal pressure of the tire.

6. A tire abnormality determination method executed by a tire abnormality determination device, Obtaining information about the tire condition detected by a device mounted on a vehicle and information about the running condition of the vehicle; Identifying a stop time during which the vehicle is stopped based on information related to the running state of the vehicle, excluding information corresponding to the stop time from the information related to the tire state, and generating time-series data of the tire internal pressure from the information related to the tire state from which the information corresponding to the stop time has been excluded; and determining whether or not a slow leak occurs in the tire based on time-series data of the internal pressure of the tire.

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