Diagnostic device, vehicle, diagnostic method, and program
The diagnostic system diagnoses tire pressure by analyzing running data, simplifying the configuration and enabling efficient detection of tire state without direct measurement, using reference data from predetermined routes.
Patent Information
- Application Number
- JP2023221153
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-12-27
- Publication Date
- 2025-07-09
AI Technical Summary
Existing tire pressure diagnosis techniques require measuring vehicle speed and wheel speed, complicating the configuration.
A diagnostic system that acquires and analyzes measurement data of physical quantities related to vehicle running, such as pedaling force, rotational speed, and power consumption, to diagnose tire pressure without direct measurement, using reference data from predetermined routes.
Enables easy and efficient tire pressure diagnosis by comparing integrated measurement data with reference data, allowing for accurate detection of underinflation or overinflation without additional sensors.
Smart Images

Figure 2025103632000001_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to a diagnostic device and the like.
Background Art
[0002] For example, regarding a vehicle, a technique for diagnosing the state of the tire pressure without measuring the tire pressure is known (see Patent Document 1).
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] However, in Patent Document 1, it is necessary to measure the speed of the vehicle body and the speed of the vehicle wheels, which may complicate the configuration.
[0005] Therefore, in view of the above problems, an object is to provide a technique capable of easily diagnosing the state of the tire pressure of a vehicle.
Means for Solving the Problems
[0006] To achieve the above object, in one embodiment of the present disclosure, an acquisition unit that acquires measurement data of a physical quantity related to the running of the vehicle, which is different from the tire pressure of the vehicle, over the entire predetermined route when the vehicle runs on the predetermined route; a diagnostic unit that diagnoses the state of the tire pressure of the vehicle based on the measurement data acquired by the acquisition unit and reference data representing a reference state of the physical quantity over the entire predetermined route when the vehicle runs on the predetermined route. A diagnostic device is provided.
[0007] Also, in other embodiments of the present disclosure, an acquisition unit that acquires measurement data of a physical quantity related to the running of the vehicle, which is different from the air pressure of the tires of the vehicle, over the entire predetermined route when the vehicle runs on the predetermined route; a diagnosis unit that diagnoses the state of the air pressure of the tires of the vehicle based on the measurement data acquired by the acquisition unit and reference data representing the reference state of the physical quantity over the entire predetermined route when the vehicle runs on the predetermined route, a vehicle is provided.
[0008] Also, in still other embodiments of the present disclosure, an acquisition step in which a diagnostic device acquires measurement data of a physical quantity related to the running of the vehicle, which is different from the air pressure of the tires of the vehicle, over the entire predetermined route when the vehicle runs on the predetermined route; a diagnostic step in which the diagnostic device diagnoses the state of the air pressure of the tires of the vehicle based on the measurement data acquired in the acquisition step and reference data representing the reference state of the physical quantity over the entire predetermined route when the vehicle runs on the predetermined route, a diagnostic method is provided.
[0009] Also, in still other embodiments of the present disclosure, an information processing device is caused to execute an acquisition step of acquiring measurement data of a physical quantity related to the running of the vehicle, which is different from the air pressure of the tires of the vehicle, over the entire predetermined route when the vehicle runs on the predetermined route; and a diagnostic step of diagnosing the state of the air pressure of the tires of the vehicle based on the measurement data acquired in the acquisition step and reference data representing the reference state of the physical quantity over the entire predetermined route when the vehicle runs on the predetermined route, a program is provided.
Advantages of the Invention
[0010] According to the above embodiment, it is possible to easily diagnose the pneumatic state of a vehicle.
Brief Description of the Drawings
[0011]
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Modes for Carrying Out the Invention
[0012] Hereinafter, embodiments will be described with reference to the drawings.
[0013] [First Example of Diagnostic System] With reference to FIGS. 1 and 2, a first example of the diagnostic system 1 according to the present embodiment will be described.
[0014] [Overview] FIG. 1 is a block diagram showing the configuration of a first example of the diagnostic system 1.
[0015] The diagnostic system 1 diagnoses the pneumatic state of the tires of the bicycle 10. In this example, the diagnostic system 1 is mounted on the bicycle 10. The bicycle 10 may be a bicycle with electric assist or an ordinary bicycle without electric assist.
[0016] The diagnosis of the air pressure state of the tire of the bicycle 10 includes, for example, the diagnosis of the presence or absence of a decrease in the air pressure of the tire. A decrease in the air pressure of the tire means that the air pressure of the tire becomes relatively low with respect to a predetermined standard. In this case, the predetermined standard corresponds to a state that is somewhat lower than the standard state of the air pressure of the tire. The state where the air pressure of the tire is relatively low with respect to the predetermined standard may be a state where the air pressure of the tire is equal to or lower than the predetermined standard, or may be a state where the air pressure of the tire is lower than the predetermined standard. Further, the diagnosis of the air pressure state of the tire of the bicycle 10 may include the diagnosis of the degree of decrease (hereinafter simply referred to as "the degree of decrease in the air pressure of the tire") based on the standard state of the air pressure of the tire. Further, the diagnosis of the air pressure state of the tire of the bicycle 10 may include the diagnosis of the presence or absence of an excessive state of the air pressure of the tire. An excessive state of the air pressure of the tire means that the air pressure of the tire is relatively high with respect to a predetermined standard. In this case, the predetermined standard corresponds to a state that is somewhat higher than the standard state of the air pressure of the tire. The state where the air pressure of the tire is relatively high with respect to the predetermined standard may be a state where the air pressure of the tire is equal to or higher than the predetermined standard, or may be a state where the air pressure of the tire is higher than the predetermined standard. Further, the diagnosis of the air pressure state of the tire of the bicycle 10 may include the diagnosis of the degree of excess (hereinafter simply referred to as "the degree of excess of the air pressure of the tire") based on the standard state of the air pressure of the tire.
[0017] The diagnostic system 1 includes a sensor 12, a GNSS (Global Navigation Satellite System) sensor 13, an input device 14, a control device 15, and an output device 16.
[0018] The sensor 12 acquires data related to the running of the bicycle 10. One or more sensors 12 are mounted on the bicycle 10. The output of the sensor 12 is taken into the control device 15. The sensor 12 is, for example, a torque sensor that detects torque based on the pedaling force of the rider on the pedals of the bicycle 10 (hereinafter, for convenience, referred to as "pedal pedaling force"). Further, the sensor 12 may be a rotation speed sensor that detects the rotation speed of the crank. Further, when the bicycle 10 is equipped with an electric assist, the sensor 12 may be a current sensor that detects the current of the electric motor (hereinafter, "assist electric motor") or the battery that supplies power to the assist electric motor. Further, the sensor 12 may be a speed sensor that detects the speed of the bicycle 10. Further, the sensor 12 may be an acceleration sensor that detects the acceleration of the bicycle 10.
[0019] The GNSS sensor 13 acquires position information representing the absolute position of the bicycle 10. The output of the GNSS sensor 13 is taken into the control device 15.
[0020] The input device 14 receives various inputs from a user such as a rider of the bicycle 10.
[0021] The input device 14 includes, for example, an input device (hereinafter, "mechanical input device") provided on the handlebar of the bicycle 10 or in the vicinity thereof and configured to receive mechanical inputs from the user. The mechanical input device includes, for example, buttons, toggles, levers, etc.
[0022] Further, the input device 14 may include a gesture input device or a voice input device provided on the handlebar of the bicycle 10 or in the vicinity thereof and configured to receive gesture inputs or voice inputs from the user.
[0023] Further, the input device 14 may include a biometric input device provided on the handlebar of the bicycle 10 or in the vicinity thereof and configured to receive biometric inputs from the user. The biometric input device includes, for example, a camera capable of acquiring image data including information related to the fingerprint or iris of the user.
[0024] The control device 15 performs control related to the bicycle 10.
[0025] When the bicycle 10 is, for example, an electric assist bicycle, the control device 15 controls the drive of the assist electric motor.
[0026] Also, in this example, the control device 15 diagnoses the state of the air pressure in the tires of the bicycle 10.
[0027] The functions of the control device 15 are realized by any hardware, or any combination of hardware and software, etc. For example, the control device 15 is centered around a computer including an auxiliary storage device 15A, a memory device 15B, a CPU (Central Processing Unit) 15C, and an interface device 15D for input / output with the outside. The auxiliary storage device 15A is, for example, an EEPROM (Electrically Erasable Programmable Read Only Memory) or a flash memory. The memory device 15B is, for example, an SRAM (Static Random Access Memory). The control device 15 can realize various functions by loading the program installed in the auxiliary storage device 15A into the memory device 15B and executing it on the CPU 15C.
[0028] The output device 16 outputs various information to the operator. In this example, the output device 16 outputs the diagnosis result regarding the air state of the tires of the bicycle 10 to the user.
[0029] The output device 16 includes, for example, an illumination device or a display device that outputs information visually. The illumination device is, for example, an indicator lamp. The display device is, for example, a liquid crystal display or an organic EL (Electroluminescence) display.
[0030] Also, the output device 16 may be a sound output device that outputs auditory information. The sound output device is, for example, a buzzer, an alarm, a speaker, etc.
[0031] <Functional configuration> Figure 2 is a functional block diagram showing a first example of the functional configuration of the diagnostic system 1.
[0032] As shown in Figure 2, the control device 15 includes, as functional units, an acquisition unit 151, a reference data registration unit 152, a storage unit 153, a determination unit 154, a diagnostic unit 155, and a notification unit 156.
[0033] The acquisition unit 151 acquires measurement data of a physical quantity related to the running of the bicycle 10 (hereinafter, for convenience, referred to as "diagnostic physical quantity") necessary for diagnosing the state of the air pressure of the bicycle 10 based on the sensor data captured from the sensor 12. The diagnostic physical quantity may be only one type or a plurality of types.
[0034] The diagnostic physical quantity includes, for example, the pedaling force of the bicycle 10 by the rider. The measurement data of the pedaling force of the bicycle pedal is acquired, for example, based on the output of a sensor 12 (torque sensor) that detects the torque based on the pedaling force of the rider on the pedal. Also, the diagnostic physical quantity may be the rotational speed of the crank of the bicycle 10 or the rotational speed of the tire of the bicycle 10. The measurement data of the rotational speed of the crank of the bicycle 10 or the rotational speed of the tire of the bicycle 10 is acquired based on the output of a sensor 12 (rotational speed sensor) that detects the rotational speed of the crank. Further, when the bicycle 10 is equipped with an electric assist, the diagnostic physical quantity may be the current consumption or power consumption of the assist electric motor. The measurement data of the current consumption or power consumption of the assist electric motor or the battery is acquired based on the output of a sensor 12 (current sensor) that detects the current of the assist electric motor or the battery.
[0035] The reference data registration unit 152 registers reference data used when diagnosing the air pressure state of the bicycle 10. The reference data is data representing the reference state of the diagnostic physical quantity across the entire diagnostic target path when the bicycle 10 travels along a predetermined path (hereinafter, "diagnostic target path"). The reference state corresponds to a state where the air pressure of the bicycle 10 is appropriate. The number of diagnostic target paths may be one or plural. In the latter case, reference data exists for each diagnostic target path. Also, for the reference data corresponding to one diagnostic target path, there may be multiple types according to environmental conditions (e.g., temperature, weather, season, etc.). Further, when there are multiple users riding the bicycle 10, the reference data corresponding to one diagnostic target path may be set for each user.
[0036] For example, the reference data registration unit 152 registers the measurement data of the diagnostic physical quantity when the bicycle 10 actually travels along the diagnostic target path as the reference data. It is desirable that the air pressure of the tires of the bicycle 10 be adjusted and maintained in an appropriate state when registering the reference data. Thereby, the reference data registration unit 152 can acquire and register appropriate reference data. Specifically, the user makes an input representing the start point of the diagnostic target path through the input device 14 at the start of traveling along the diagnostic target path, and makes an input representing the end point of the diagnostic target path at the end of traveling along the diagnostic target path. Thereafter, the user makes an input representing registration through the input device 14. Thereby, the reference data registration unit 152 can register the measurement data of the diagnostic physical quantity during traveling between the start point and the end point of the diagnostic target path, or the processed data based on the measurement data, as the reference data corresponding to the diagnostic target path. The processed data is, for example, data of the integrated value of the measurement data across the entire diagnostic target path. At this time, when an input is made from the user through the input device 14 to instruct registration of reference data for a new diagnostic target path, the reference data registration unit 152 registers the current measurement data or processed data as the reference data corresponding to the new diagnostic target path. On the other hand, when an input is made from the user through the input device 14 to instruct registration of reference data specifying an existing diagnostic target path, the current measurement data or processed data is registered as the reference data for the specified existing diagnostic target path.
[0037] The diagnostic target route is registered in a form associated with position information. For example, the diagnostic target route is registered in a form associated with the combination of the position information of its start point and end point, and the position information of both ends of the road nodes constituting the route. In this case, the reference data registration unit 152 can specify the driving route of the bicycle 10 this time based on the output of the GNSS sensor 13 at the start point and the end point of the driving of the bicycle 10. And when the specified driving route has already been registered as a diagnostic target route, the reference data registration unit 152 registers the measurement data of this driving route or the processed data generated based on the measurement data as the reference data corresponding to the registered diagnostic target route. On the other hand, when the diagnostic target route is not registered, the reference data registration unit 152 registers a new diagnostic target route based on the history of the GNSS sensor 13 between the start point and the end point of this driving. And the reference data registration unit 152 registers the measurement data or the processed data during this driving as the reference data corresponding to the new diagnostic target route.
[0038] Also, the reference data registration unit 152 may automatically generate and register reference data based on various conditions of the diagnostic target route. The various conditions of the diagnostic target route are the elevation difference, gradient, traffic volume, etc. of the diagnostic target route. For example, map information and information representing various conditions of the route on the map are pre-registered in the auxiliary storage device 15A, and the reference data registration unit 152 uses this information to determine the various conditions of the diagnostic target route.
[0039] The storage unit 153 stores the reference data registered by the reference data registration unit 152.
[0040] The determination unit 154 determines whether the bicycle 10 has traveled on the diagnostic target route based on the output of the GNSS sensor 13. The travel on the diagnostic target route means traveling from the start point to the end point of the diagnostic target route and traveling the entire diagnostic target route. As described above, when there are a plurality of diagnostic target routes, the determination unit 154 determines whether each diagnostic target route has been traveled.
[0041] When the determination unit 154 determines that the bicycle 10 has traveled on the diagnostic target path, the diagnosis unit 155 diagnoses the state of the air pressure of the tires of the bicycle 10. Specifically, the diagnosis unit 155 diagnoses the state of the air pressure of the tires of the bicycle 10 based on the measurement data of the physical quantity for diagnosis over the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path and the reference data corresponding to the same diagnostic target path.
[0042] The diagnosis unit 155 diagnoses the state of the air pressure of the tires of the bicycle 10, for example, by comparing the measurement data of the physical quantity for diagnosis over the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path with the reference data corresponding to the same diagnostic target path. Specifically, the diagnosis unit 155 may compare the integrated value of the measurement data of the physical quantity for diagnosis over the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path with the reference data (hereinafter, "reference value") corresponding to the integrated value, and evaluate the difference. The reference value corresponds to the reference data representing the reference state of the integrated value of the physical quantity for diagnosis over the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path.
[0043] For example, consider the case where the physical quantity for diagnosis is the pedal force.
[0044] When the air pressure of the tires of the bicycle 10 becomes low, the running resistance of the tires increases. Therefore, when the air pressure of the tires of the bicycle 10 becomes low, the integrated value of the pedal force over the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path becomes large. On the other hand, when the air pressure of the tires of the bicycle 10 becomes high, the running resistance of the tires decreases. Therefore, when the air pressure of the tires of the bicycle 10 becomes high, the integrated value of the pedal force over the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path becomes small.
[0045] Therefore, when the integrated value of the pedal pedaling force across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is greater than the reference value and the difference between them is relatively large with respect to a predetermined reference, the diagnostic unit 155 diagnoses that there is a decrease in the tire air pressure of the bicycle 10. Further, when the integrated value of the pedal pedaling force across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is greater than the reference value, the diagnostic unit 155 diagnoses such that the degree of decrease in the tire air pressure of the bicycle 10 increases as the difference between them increases. Further, when the integrated value of the pedal pedaling force across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is less than the reference value and the difference between them is relatively large with respect to a predetermined reference, the diagnostic unit 155 diagnoses that the air pressure of the bicycle 10 is excessive. Further, when the integrated value of the pedal pedaling force across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is less than the reference value, the diagnostic unit 155 diagnoses such that the degree of excess of the tire air pressure of the bicycle 10 increases as the difference between them increases.
[0046] Similarly, consider the case where the diagnostic physical quantity is the power consumption of the electric assist motor.
[0047] Similar to the case of the pedal pedaling force, the integrated value of the power consumption of the assist motor across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path (i.e., the power consumption amount) increases as the running resistance of the tire increases. Therefore, the power consumption amount of the assist motor across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path increases as the tire air pressure of the bicycle 10 decreases, and decreases as the tire air pressure of the bicycle 10 increases.
[0048] Therefore, when the power consumption of the assist electric motor across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is greater than the reference value and the difference between them is relatively large with respect to a predetermined standard, the diagnostic unit 155 diagnoses that there is a decrease in the tire air pressure of the bicycle 10. Further, when the power consumption of the assist electric motor across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is greater than the reference value, the diagnostic unit 155 diagnoses such that the degree of decrease in the tire air pressure of the bicycle 10 increases as the difference becomes larger. Further, when the power consumption of the assist electric motor across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is less than the reference value and the difference between them is relatively large with respect to a predetermined standard, the diagnostic unit 155 diagnoses that the tire air pressure of the bicycle 10 is excessive. Further, when the power consumption of the assist electric motor across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is less than the reference value, the diagnostic unit 155 diagnoses such that the degree of excess of the tire air pressure of the bicycle 10 increases as the difference becomes larger.
[0049] Further, when the diagnostic physical quantity is the consumption current of the electric assist motor, the diagnostic unit 155 can perform a diagnosis regarding the state of the tire air pressure of the bicycle 10 in the same manner as when the diagnostic physical quantity is the power consumption of the electric assist.
[0050] Also, consider the case where the diagnostic physical quantity is the rotational speed of the crank.
[0051] When the tire air pressure of the bicycle 10 decreases, the outer diameter of the tire becomes smaller. Therefore, when the tire air pressure of the bicycle 10 decreases, the integrated value of the rotational speed of the crank across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path increases. On the other hand, when the tire air pressure of the bicycle 10 increases, the outer diameter of the tire becomes larger. Therefore, when the tire air pressure of the bicycle 10 increases, the integrated value of the rotational speed of the crank across the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path decreases.
[0052] Therefore, when the integrated value of the number of crank rotations over the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is greater than the reference value and the difference between them is relatively large with respect to a predetermined standard, the diagnostic unit 155 diagnoses that there is a decrease in the tire air pressure of the bicycle 10. Further, when the integrated value of the number of crank rotations over the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is greater than the reference value, the diagnostic unit 155 diagnoses such that the degree of decrease in the tire air pressure of the bicycle 10 increases as the difference between them increases. Further, when the integrated value of the number of crank rotations over the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is smaller than the reference value and the difference between them is relatively large with respect to a predetermined standard, the diagnostic unit 155 diagnoses that the tire air pressure of the bicycle 10 is excessive. Further, when the integrated value of the number of crank rotations over the entire diagnostic target path when the bicycle 10 travels on the diagnostic target path is smaller than the reference value, the diagnostic unit 155 diagnoses such that the degree of excess of the tire air pressure of the bicycle 10 increases as the difference between them increases.
[0053] Further, when the diagnostic physical quantity is the number of tire rotations, the diagnostic unit 155 can perform diagnosis regarding the state of the tire air pressure of the bicycle 10 in the same manner as when the diagnostic physical quantity is the number of crank rotations.
[0054] The diagnostic unit 155 may perform diagnosis regarding the state of the tire air pressure of the bicycle 10 using one diagnostic physical quantity, or may perform diagnosis regarding the state of the tire air pressure of the bicycle 10 using a plurality of diagnostic physical quantities.
[0055] For example, when using a plurality of diagnostic physical quantities, the diagnostic unit 155 outputs a diagnostic result indicating that there is a decrease in the tire air pressure of the bicycle 10 when a diagnostic result indicating that there is a decrease in the tire air pressure of the bicycle 10 can be obtained using at least one diagnostic physical quantity. Further, when using a plurality of diagnostic physical quantities, the diagnostic unit 155 may output a diagnostic result indicating that there is a decrease in the tire air pressure of the bicycle 10 when a diagnostic result indicating that there is a decrease in the tire air pressure of the bicycle 10 can be obtained using each of a predetermined number (≧2) or more of the diagnostic physical quantities.
[0056] Similarly, for example, when using a plurality of diagnostic physical quantities, if the diagnostic unit 155 can obtain a diagnostic result of excessive air pressure in the tire of the bicycle 10 using at least one diagnostic physical quantity, the diagnostic unit 155 outputs a diagnostic result of excessive air pressure in the tire of the bicycle 10. Further, when using a plurality of diagnostic physical quantities, the diagnostic unit 155 may output a diagnostic result of excessive air pressure in the tire of the bicycle 10 when a diagnostic result of excessive air pressure in the tire can be obtained using each of a predetermined number (≧2) or more of the diagnostic physical quantities.
[0057] Also, for example, when using a plurality of diagnostic physical quantities, the diagnostic unit 155 outputs, as the final diagnostic result, the diagnostic result with the highest degree of decrease among the diagnostic results of the degree of decrease in air pressure of the tire using each of all the diagnostic physical quantities. Further, when using a plurality of diagnostic physical quantities, the diagnostic unit 155 may output, as the diagnostic result of the degree of decrease in air pressure of the tire of the bicycle 10, the average value of the diagnostic results of the degree of decrease in air pressure of the tire using each of all the diagnostic physical quantities.
[0058] Similarly, for example, when using a plurality of diagnostic physical quantities, the diagnostic unit 155 outputs, as the final diagnostic result, the diagnostic result with the highest degree of excess among the diagnostic results of the degree of excess of air pressure in the tire using each of all the diagnostic physical quantities. Further, when using a plurality of diagnostic physical quantities, the diagnostic unit 155 may output, as the diagnostic result of the degree of excess of air pressure in the tire of the bicycle 10, the average value of the diagnostic results of the degree of excess of air pressure in the tire using each of all the diagnostic physical quantities.
[0059] The notification unit 156 controls the output device 16 and notifies the user of the bicycle 10 of the diagnostic result of the diagnostic unit 155 through the output device 16. Thereby, the user of the bicycle 10 can grasp the state of the air pressure in the tire of the bicycle 10 and can take measures when there are problems such as a decrease or excess in air pressure. Therefore, the safety of the bicycle 10 can be improved.
[0060] The notification unit 156 may notify the user of the diagnosis result of the diagnosis unit 155 regardless of the content of the diagnosis result of the diagnosis unit 155, or may notify the user of the diagnosis result of the diagnosis unit 155 only when the diagnosis result of the diagnosis unit 155 represents an inappropriate state of the tire pressure.
[0061] The diagnosis result indicating an inappropriate state of the tire pressure is, for example, a diagnosis result of a decrease in tire pressure or an excess of tire pressure, or a diagnosis result indicating that the degree of decrease or excess of tire pressure is relatively high with respect to a predetermined standard.
[0062] As described above, in this example, the diagnosis system 1 can diagnose the state of the tire pressure without measuring the tire pressure in the bicycle 10. Also, in this example, the diagnosis system 1 can diagnose the state of the tire pressure by using the measurement data of at least one physical quantity for diagnosis. As a result, for example, it is not necessary to add a sensor for measuring the tire pressure or to mount a plurality of sensors for diagnosing the state of the tire pressure. Therefore, the diagnosis system 1 can relatively easily realize the diagnosis regarding the state of the tire pressure.
[0063] [Second Example of Diagnosis System] Next, with reference to FIGS. 3 to 6, a second example of the diagnosis system 1 according to the present embodiment will be described.
[0064] In this example, the same or corresponding components as those in the above-described first example are denoted by the same reference numerals, and the description will be centered on the parts different from the above-described first example.
[0065] [Overview] FIG. 3 is a block diagram showing the configuration of a second example of the diagnosis system 1. FIG. 4 is a block diagram showing the configuration of an example of the mobile terminal 20. FIG. 5 is a block diagram showing the configuration of an example of the server device 30.
[0066] As shown in FIG. 3, in this example, the diagnostic system 1 is different from the first example described above in that, in addition to the bicycle 10, it includes a mobile terminal 20 and a server device 30.
[0067] As shown in FIG. 3, in this example, the bicycle 10 includes a sensor 12 and a control device 15. Also, in this example, different from the first example described above, it includes a communication device 17.
[0068] The communication device 17 communicates with a device different from the bicycle 10 (for example, the mobile terminal 20 or the server device 30) through a predetermined communication line.
[0069] The predetermined communication line includes, for example, a wide area network (WAN: Wide Area Network). The wide area network includes, for example, a mobile communication network with a base station as the terminal, a satellite communication network using communication satellites, the Internet network, etc. Also, the predetermined communication line may include a local area network (LAN: Local Area Network). Also, the predetermined communication line may include a short-distance communication line based on a predetermined wireless communication standard. The short-distance communication line includes, for example, communication lines such as Bluetooth (registered trademark), WiFi, and local 5G.
[0070] Also, the communication device 17 may be provided for each communication standard of the communication line to be connected.
[0071] The mobile terminal 20 is a portable terminal device held by the rider (user) of the bicycle 10. The mobile terminal 20 is, for example, a smartphone or a tablet terminal.
[0072] In this example, the mobile terminal 20 performs the same function as the GNSS sensor 13 in the first example described above (that is, the function of acquiring the position information of the bicycle 10), and performs the same function as the output device 16 in the first example described above (that is, the function of outputting information to the user).
[0073] The functions of the mobile terminal 20 are realized by any hardware or any combination of hardware and software, etc. For example, as shown in FIG. 4, the mobile terminal 20 includes an external interface 21, an auxiliary storage device 22, a memory device 23, a CPU 24, a high-speed arithmetic device 25, a communication interface 26, an input device 27, an output device 28, and a GNSS sensor 29.
[0074] The external interface 21 functions as an interface for reading data from the recording medium 21A and writing data to the recording medium 21A. The recording medium 21A includes general-purpose recording media such as, for example, an SD memory card and a USB (Universal Serial Bus) memory. Thereby, the mobile terminal 20 can read various data used in processing through the recording medium 21A, store the data in the auxiliary storage device 22, or install a program for realizing various functions.
[0075] The auxiliary storage device 22 stores various installed programs and also stores files, data, etc. necessary for various processes. The auxiliary storage device 22 includes, for example, an HDD (Hard Disc Drive), an SSD (Solid State Disc), an EEPROM, a flash memory, etc.
[0076] When there is an instruction to start a program, the memory device 23 reads the program from the auxiliary storage device 22 and stores it. The memory device 23 includes, for example, a DRAM (Dynamic Random Access Memory) and an SRAM.
[0077] The CPU 24 executes various programs loaded from the auxiliary storage device 22 to the memory device 23 and realizes various functions related to the mobile terminal 20 according to the programs.
[0078] The high-speed arithmetic unit 25 operates in conjunction with the CPU 24 and performs arithmetic processing at a higher speed than the CPU 24. The high-speed arithmetic unit 25 includes, for example, a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), and the like.
[0079] Note that depending on the speed of the arithmetic processing required for the mobile terminal 20, the high-speed arithmetic unit 25 may be omitted.
[0080] The communication interface 26 is used as an interface for communicably connecting to an external device. Thereby, the mobile terminal 20 can communicate with the bicycle 10 and the server device 30 through the communication interface 26. Further, the mobile terminal 20 can acquire various data and programs used in the processing from an external device through the communication interface 26, for example. The communication interface 26 may have a plurality of types of communication interfaces depending on the communication method with the connected device and the like.
[0081] The input device 27 receives various inputs from the user of the mobile terminal 20.
[0082] The input device 27 includes, for example, a mechanical input device in a form that receives a mechanical operation input from the user of the mobile terminal 20. The mechanical input device includes, for example, buttons, toggles, levers, keyboards, touch panels, touch pads, and the like.
[0083] Further, the input device 27 may include a voice input device capable of receiving a voice input from the user of the mobile terminal 20. The voice input device includes, for example, a microphone capable of collecting the voice of the user of the mobile terminal 20.
[0084] Further, the input device 27 may include a gesture input device capable of receiving a gesture input from the user of the mobile terminal 20. The gesture input device includes, for example, a camera capable of imaging the state of the user's gesture.
[0085] Further, the input device 27 may include a biometric input device capable of receiving biometric input from the user of the mobile terminal 20. The biometric input device includes, for example, a camera capable of acquiring image data containing information about the user's fingerprint or iris.
[0086] The output device 28 outputs information to the user of the mobile terminal 20.
[0087] The output device 28 is, for example, an illumination device or a display device that outputs information visually. The illumination device is, for example, an indicator lamp or the like. The display device is, for example, a liquid crystal display, an organic EL display, or the like.
[0088] Further, the output device 28 may be a sound output device that outputs auditory information. The sound output device is, for example, a buzzer, an alarm, a speaker, or the like.
[0089] The GNSS sensor 29 acquires position information representing the absolute position of the mobile terminal 20. The position information representing the absolute position of the mobile terminal 20 represents the position information of the user holding the mobile terminal 20 and also represents the position information of the bicycle 10 on which the user is riding.
[0090] The server device 30 is communicably connected to the bicycle 10 and the mobile terminal 20, and diagnoses the state of the air pressure of the tire of the bicycle 10.
[0091] The server device 30 may be, for example, an on-premises server, a cloud server, or an edge server.
[0092] The functions of the server device 30 may be realized by any hardware, or any combination of hardware and software, etc. For example, as shown in FIG. 5, the server device 30 includes an external interface 31, an auxiliary storage device 32, a memory device 33, a CPU 34, a high-speed arithmetic device 35, a communication interface 36, an input device 37, and an output device 38.
[0093] The external interface 31 functions as an interface for reading data from the recording medium 31A and writing data to the recording medium 31A. The recording medium 31A includes, for example, general-purpose recording media such as flexible disks, CDs (Compact Discs), DVDs (Digital Versatile Discs), BDs (Blu-ray (registered trademark) Discs), SD memory cards, and USB memories. Thereby, the server device 30 can read various data used in processing through the recording medium 31A, store it in the auxiliary storage device 32, or install a program for realizing various functions.
[0094] The auxiliary storage device 32 stores the installed various programs and also stores files, data, etc. necessary for various processes. The auxiliary storage device 32 includes, for example, HDDs, SSDs, EEPROMs, flash memories, etc.
[0095] When there is an instruction to start a program, the memory device 33 reads the program from the auxiliary storage device 32 and stores it. The memory device 33 includes, for example, DRAMs and SRAMs.
[0096] The CPU 34 executes various programs loaded from the auxiliary storage device 32 to the memory device 33 and realizes various functions related to the server device 30 according to the programs.
[0097] The high-speed arithmetic device 35 operates in conjunction with the CPU 34 and performs arithmetic processing at a higher speed than the CPU 34. The high-speed arithmetic device 35 includes, for example, GPUs, ASICs, FPGAs, etc.
[0098] Note that depending on the speed of the arithmetic processing required for the server device 30, the high-speed arithmetic device 35 may be omitted.
[0099] The communication interface 36 is used as an interface for communicably connecting to an external device. Thereby, the server device 30 can communicate with the bicycle 10 and the mobile terminal 20 through the communication interface 36. Further, the server device 30 can acquire various data and programs used in processing from an external device through the communication interface 36, for example. The communication interface 36 may have a plurality of types of communication interfaces depending on the communication method and the like with the connected device.
[0100] The input device 37 receives various inputs from the user of the server device 30.
[0101] The input device 37 includes, for example, a mechanical input device in a form that receives a mechanical operation input from the user of the server device 30. The operation input device includes, for example, buttons, toggles, levers, keyboards, mice, touch panels, touch pads, and the like.
[0102] Further, the input device 37 may include a voice input device capable of receiving a voice input from the user of the server device 30. The voice input device includes, for example, a microphone capable of collecting the voice of the user of the server device 30.
[0103] Further, the input device 37 may include a gesture input device capable of receiving a gesture input from the user of the server device 30. The gesture input device includes, for example, a camera capable of imaging the state of the user's gesture.
[0104] Further, the input device 37 may include a biometric input device capable of receiving a biometric input from the user of the server device 30. The biometric input device includes, for example, a camera capable of acquiring image data including information regarding the user's fingerprint or iris.
[0105] The output device 38 outputs information to the user of the server device 30.
[0106] The output device 38 is, for example, an illumination device or a display device that outputs information visually. The illumination device is, for example, an indicator lamp or the like. The display device is, for example, a liquid crystal display, an organic EL display, or the like.
[0107] Further, the output device 38 may be a sound output device that outputs auditory information. The sound output device is, for example, a buzzer, an alarm, a speaker, or the like.
[0108] Note that part or all of the functions of the server device 30 may be integrated into the mobile terminal 20.
[0109] <Functional Configuration> FIG. 6 is a functional block diagram showing a second example of the functional configuration of the diagnostic system 1.
[0110] As shown in FIG. 6, the control device 15 of the bicycle 10 includes a sensor data transmission unit 157 as a functional unit.
[0111] The mobile terminal 20 includes, as functional units, a position information transmission unit 201, a request transmission unit 202, and a diagnostic result display unit 203. These functions become effective, for example, when an application program (hereinafter, "app") installed in the auxiliary storage device 22 is loaded into the memory device 23 and executed by the CPU 24.
[0112] The server device 30 includes, as functional units, an acquisition unit 301, a reference data registration unit 302, a storage unit 303, a determination unit 304, a diagnostic unit 305, and a notification unit 306.
[0113] The sensor data transmission unit 157 acquires the output (sensor data) of the sensor 12 and transmits it to the server device 30 through the communication device 17.
[0114] The location information transmission unit 201 transmits, through the communication interface 26, the output of the GNSS sensor 29, that is, the location information of the mobile terminal 20, to the server device 30. Thereby, when the user who possesses the mobile terminal 20 is riding the bicycle 10, the server device 30 can acquire the location information of the bicycle 10.
[0115] The location information transmission unit 201 may transmit the location information of the mobile terminal 20 to the server device 30 regardless of whether the user is riding a bicycle, or may transmit it only when the user of the mobile terminal 20 is riding the bicycle 10. For example, when the user is riding the bicycle 10, the mobile terminal 20 can establish pairing with the control device 15 of the bicycle 10 through a short-range communication line such as BLE (Bluetooth Low Energy) communication via the communication interface 26. Therefore, the location information transmission unit 201 may determine that the user who possesses the mobile terminal 20 is riding the bicycle 10 when the mobile terminal 20 has established pairing with the control device 15 of the bicycle 10.
[0116] The request transmission unit 202 transmits various requests from the communication interface 26 to the server device 30 according to the user's operation on the application screen of the output device 28 (that is, the display device).
[0117] The diagnosis result display unit 203 causes the output device (that is, the display device) to display the diagnosis result regarding the air pressure state of the tire of the bicycle 10 received from the server device 30 through the communication interface 26. Thereby, the user can confirm the diagnosis result regarding the air pressure state of the tire of the bicycle 10 using his / her own mobile terminal 20.
[0118] The acquisition unit 301 has the same function as the acquisition unit 151 in the first example described above. Specifically, the acquisition unit 301 acquires measurement data of a physical quantity for diagnosis based on the sensor data of the sensor 12 received from the bicycle 10 through the communication interface 36.
[0119] The reference data registration unit 302 has the same functions as the reference data registration unit 152 in the first example described above.
[0120] For example, similar to the first example above, the reference data registration unit 302 registers measurement data when the bicycle 10 actually travels as reference data. At this time, the user can operate the app screen of the mobile terminal 20 to input at the start and end of the travel of the diagnosis target route, and the request transmission unit 202 of the mobile terminal 20 transmits the input content to the server device 30 through the communication interface 26. Thereby, the reference data registration unit 302 can collate the input content of the user received from the mobile terminal 20 through the communication interface 36 with the output of the GNSS sensor 29 to determine the start point and end point of the diagnosis target route.
[0121] Also, similar to the first example above, the reference data registration unit 302 may automatically generate and register reference data based on various conditions of the diagnosis target route.
[0122] The storage unit 303 has the same functions as the storage unit 153 in the first example described above. Specifically, the reference data registered by the reference data registration unit 302 is stored in the storage unit 303.
[0123] The determination unit 304 has the same functions as the determination unit 154 in the first example described above. Specifically, the determination unit 304 determines whether the bicycle 10 is traveling on the diagnosis target route based on the output of the GNSS sensor 29 received from the mobile terminal 20 through the communication interface 36.
[0124] The diagnosis unit 305 has the same functions as the diagnosis unit 155 in the first example described above. Specifically, when the determination unit 304 determines that the bicycle 10 has traveled on the diagnosis target route, the diagnosis unit 305 diagnoses the state of the air pressure of the tires of the bicycle 10.
[0125] The notification unit 306 has the same function as the notification unit 156 in the first example described above. Specifically, the notification unit 306 controls the mobile terminal 20 and notifies the user of the diagnosis result of the diagnosis unit 305 through the mobile terminal 20. For example, the notification unit 306 controls the diagnosis result display unit 203 of the mobile terminal 20 and notifies the user of the diagnosis result by causing the output device 28 (specifically, the display device) of the mobile terminal 20 to display the diagnosis result.
[0126] As described above, in this example, the diagnosis system 1 can use the mobile terminal 20 as a user interface to perform a diagnosis on the air pressure state of the tire of the bicycle 10 by the server device 30 outside the bicycle 10. Thereby, the diagnosis system 1 can improve the convenience of the user, minimize the changes on the bicycle 10 side for performing the diagnosis on the air pressure state of the tire, and suppress the cost increase of the bicycle 10.
[0127] [Third Example of Diagnosis System] Next, a third example of the diagnosis system 1 according to the present embodiment will be described.
[0128] In this example, the same or corresponding components as those in the first and second examples described above are denoted by the same reference numerals, and the description will be centered on the parts different from the first and second examples described above.
[0129] In this example, the diagnosis system 1 is different from the first example described above in that the GNSS sensor 13 is omitted.
[0130] Note that since the hardware configuration and functional configuration of the diagnosis system 1 correspond to those in which the GNSS sensor 13 in FIGS. 1 and 2 is omitted, the illustration thereof is omitted, and FIGS. 1 and 2 are incorporated herein by reference.
[0131] In this example, the control device 15 includes, as functional units, an acquisition unit 151, a reference data registration unit 152, a storage unit 153, a determination unit 154, a diagnosis unit 155, and a notification unit 156, similar to the first example described above.
[0132] In this example, the reference data registration unit 152 registers reference data used when diagnosing the air pressure state of the bicycle, similar to the first example described above. Specifically, the reference data registration unit 152 may register, as reference data, the measurement data when the bicycle 10 actually travels on the diagnosis target route, similar to the first example described above. However, in this example, since the GNSS sensor 13 is omitted, the diagnosis target route is not associated with position information, and when a plurality of diagnosis target routes are registered, they are identified by a predetermined identifier (for example, an ID (Identification) unique to each diagnosis target route).
[0133] The determination unit 154 determines whether or not the bicycle 10 has traveled on the diagnosis target route, similar to the first example described above. In this example, after the use of the bicycle 10 ends, the determination unit 154 determines (specifically, estimates) whether or not the travel route from the start of travel to the end of travel after the start of use of the current bicycle 10 corresponds to the diagnosis target route. For example, the determination unit 154 compares the time-series pattern of the reference data corresponding to the diagnosis target route with the time-series pattern of the measurement data of the physical quantity for diagnosis of the current travel route, and based on the similarity, determines whether or not the travel route of the current bicycle 10 corresponds to the diagnosis target route. At this time, the reference data and the measurement data are subjected to predetermined normalization in both the amplitude direction and the time axis direction, and then the similarity is determined. For example, the determination unit 154 can calculate the similarity between the reference data and the measurement data by arbitrarily applying a known algorithm based on pattern matching or a known algorithm based on machine learning. Then, when the similarity is relatively high with respect to a predetermined standard, the determination unit 154 determines that the travel route of the current bicycle is the diagnosis target route. Also, when there are multiple types of physical quantities for diagnosis, the determination unit 154 calculates the similarity between the reference data and the measurement data in the current travel route for each of the multiple types of physical quantities for diagnosis, and determines whether or not the average value or the minimum value of the calculated similarities is relatively high with respect to a predetermined standard.
[0134] As described above, since the determination unit 154 estimates that it corresponds to the diagnostic target route when the similarity is relatively high, actually, there may be a case where the running of a route different from the diagnostic target route is estimated as the running of the diagnostic target route.
[0135] When it is determined by the determination unit 154 that the bicycle 10 has traveled the diagnostic target route, the diagnostic unit 155 performs a diagnosis regarding the air pressure state of the tires of the bicycle 10, similar to the first example described above.
[0136] Similar to the first example described above, the notification unit 156 controls the output device 16 and notifies the user of the diagnosis result of the diagnostic unit 155 through the output device 16.
[0137] As described above, in this example, the diagnostic system 1 can determine the running of the diagnostic target route and diagnose the air pressure state of the tires of the bicycle 10 in the bicycle 10 without using the GNSS sensor 13. Thereby, the diagnostic system 1 can more easily realize the diagnosis regarding the air pressure state of the tires.
[0138] [Another example of the diagnostic system] Next, another example of the diagnostic system 1 according to the present embodiment will be described.
[0139] The first to third examples of the diagnostic system 1 described above may be appropriately combined, or modified or changed.
[0140] For example, in the first example of the diagnostic system 1 described above, instead of or in addition to the input device 14 and the output device 16, a user terminal such as the mobile terminal 20 in the second example described above may be configured to be available as a user interface.
[0141] Specifically, the reference data registration unit 152 may register reference data according to the interaction with an application installed on the user terminal used by the user. Further, when the user specifies a diagnostic target route on the map image displayed on the application screen of the user terminal, a combination of position information corresponding to the diagnostic target route may be transmitted from the user terminal directly or via another device (for example, the above-described server device 30) to the control device 15. Thereby, the control device 15 can extract output data corresponding to the diagnostic target route from the output history of the latest GNSS sensor 13 based on the combination of position information received from the user terminal. Therefore, the reference data registration unit 152 can register measurement data of the physical quantity for diagnosis or its processed data at the timing corresponding to the output data of the extracted GNSS sensor 13 as reference data corresponding to the diagnostic target route. Further, the notification unit 156 may notify the user of the diagnostic result regarding the state of the tire pressure through the user terminal by transmitting the diagnostic result of the diagnostic unit 155 to the user terminal used by the user.
[0142] Also, in the second example of the above-described diagnostic system 1, the determination unit 304 may determine, in the same manner as in the above-described third example, whether or not the travel route from the start of travel to the end of travel after the start of use of the bicycle 10 this time corresponds to the diagnostic target route after the use of the bicycle 10 is completed. In this case, the GNSS sensor 29 of the mobile terminal 20 may be omitted. That is, a mobile terminal 20 not equipped with the GNSS sensor 29 may be used.
[0143] Also, in the first to third examples of the above-described diagnostic system 1 and their modified and changed examples, reference data corresponding to the diagnostic target route may be automatically generated by acquiring map information and information representing various conditions of the route on the map from an external map server, traffic server, or the like. In this case, in the first example and its modified and changed examples described above, the same communication device 17 as in the second example is mounted on the bicycle 10, and the control device 15 communicates with a server external to the diagnostic system 1 directly or via the mobile terminal 20 or the server device 30 using the communication device 17.
[0144] Also, in the first to third examples of the above-described diagnostic system 1 and examples of their modifications and changes, regardless of the determination results of the determination unit 154 or the determination unit 304, a diagnosis regarding the air pressure state of the tires of the bicycle 10 may be performed according to a request from the user. For example, the diagnostic unit 155 or the diagnostic unit 305 may perform a diagnosis regarding the air pressure state of the tires of the bicycle 10 in response to an input from the user during the running of the bicycle 10 that indicates the start point and the end point of the diagnostic target route, and an input that indicates the start of the subsequent diagnosis.
[0145] Also, in the examples of modifications and changes of the first and third examples of the above-described diagnostic system 1, the function of the notification unit 156 may be transferred to a user terminal such as the mobile terminal 20 from the control device 15. In this case, when the diagnostic result by the diagnostic unit 155 is obtained, the control device 15 transmits the diagnostic result to the user terminal at a predetermined transmission timing. The transmission timing may be, for example, the timing immediately after the diagnostic result is obtained, or the timing when a transmission request is received from the user terminal. Then, when the user terminal receives the diagnostic result from the control device 15 of the bicycle 10, it notifies the user of the diagnostic result regarding the air pressure state of the tires of the bicycle 10 by displaying it on its own display device at a predetermined notification timing. The notification timing may be, for example, the timing immediately after the diagnostic result is received, or the timing when an input representing a notification request from the user is made.
[0146] Similarly, in the second example of the above-described diagnostic system and examples of its modifications and changes, the function of the notification unit 306 may be transferred to the mobile terminal 20. In this case, when the diagnostic result by the diagnostic unit 305 is obtained, the server device 30 transmits the diagnostic result to the mobile terminal 20 at a predetermined transmission timing. Then, when the mobile terminal 20 receives the diagnostic result from the server device 30, it notifies the user of the diagnostic result regarding the air pressure state of the tires of the bicycle 10 by displaying it on the output device 28 (specifically, the display device) at a predetermined notification timing.
[0147] In addition, the diagnostic method for the pneumatic pressure state of the bicycle 10 disclosed in the first to third examples of the above-described diagnostic system 1 and examples of their modifications and changes, and the notification method thereof may be adopted as a diagnostic method for the pneumatic pressure state of tires of other types of vehicles different from the bicycle 10 and the notification method thereof. Other vehicles include, for example, motorcycles and specific small motorized bicycles.
[0148] [Operation] Next, the operation of the diagnostic device, vehicle, diagnostic method, and program according to the present embodiment will be described.
[0149] In the first aspect of the present embodiment, the diagnostic device includes an acquisition unit and a diagnostic unit. The diagnostic device is, for example, the above-described control device 15 or server device 30. The acquisition unit is, for example, the above-described acquisition unit 151 or acquisition unit 301. The diagnostic unit is, for example, the above-described diagnostic unit 155 or diagnostic unit 305. Specifically, the acquisition unit acquires measurement data of a physical quantity related to the running of the vehicle, which is different from the pneumatic pressure of the vehicle's tires, over the entire predetermined route when the vehicle travels on the predetermined route. The vehicle is, for example, the above-described bicycle 10. The predetermined route is, for example, the above-described diagnostic target route. Then, the diagnostic unit diagnoses the pneumatic pressure state of the vehicle's tires based on the measurement data acquired by the acquisition unit and reference data representing the reference state of the physical quantity over the entire predetermined route when the vehicle travels on the predetermined route.
[0150] Also, in the first aspect of the present embodiment, the vehicle may include the acquisition unit and the diagnostic unit.
[0151] Also, in the first aspect of the present embodiment, the diagnostic method may include an acquisition step and a diagnosis step. Specifically, in the acquisition step, the diagnostic device acquires measurement data of a physical quantity related to the running of the vehicle, which is different from the air pressure of the tires of the vehicle, over the entire predetermined route when the vehicle travels on the predetermined route. Then, in the diagnosis step, the diagnostic device diagnoses the state of the air pressure of the tires of the vehicle based on the measurement data acquired in the acquisition step and reference data representing the reference state of the physical quantity over the entire predetermined route when the vehicle travels on the predetermined route.
[0152] Also, in the first aspect of the present embodiment, the program may cause the information processing device to execute the acquisition step and the diagnosis step. The information processing device is, for example, the above-described control device 15 or server device 30.
[0153] Thereby, a diagnostic device, an information processing device, a vehicle (hereinafter, "diagnostic device etc.") can diagnose the state of the air pressure of the tires of the vehicle without using a sensor for measuring the air pressure of the tires. Further, the diagnostic device etc. can diagnose the state of the air pressure of the tires of the vehicle, for example, without comparing the measurement data of a plurality of physical quantities. Therefore, the diagnostic device etc. can easily diagnose the state of the air pressure of the vehicle.
[0154] Also, in the second aspect of the present embodiment, on the premise of the first aspect described above, the diagnostic unit diagnoses the state of the air pressure of the tires of the vehicle by comparing the integrated value of the measurement data acquired by the acquisition unit over the entire predetermined route with a reference value as the reference data representing the reference state of the integrated value of the physical quantity over the entire predetermined route when the vehicle travels on the predetermined route.
[0155] Thereby, the diagnostic device etc. can grasp the state of the air pressure of the tires of the vehicle by comparing the integrated value of the measurement data with the reference value over the entire predetermined route, and can diagnose the state of the air pressure of the tires of the vehicle.
[0156] Further, in the third aspect of the present embodiment, on the premise of the above-described first or second aspect, the physical quantity may include at least one of a force applied by a vehicle occupant to drive the vehicle, the energy consumption of the vehicle, and the rotational speed of a drive unit that drives the tire or the rotational speed of the tire. The force applied by a vehicle occupant to drive the vehicle is, for example, the pedaling force of the occupant of the bicycle 10 described above. The energy consumption of the vehicle is, for example, the power consumption or the consumed current of the assist electric motor of the bicycle 10. The rotational speed of the drive unit that drives the tire is, for example, the rotational speed of the crank of the bicycle 10 described above. Also, the rotational speed of the tire is, for example, the rotational speed of the tire of the bicycle 10 described above.
[0157] Thereby, a diagnostic device or the like can diagnose the state of the tire air pressure of a vehicle by using a physical quantity that changes when traveling on a predetermined route depending on the state of the tire air pressure.
[0158] Further, in the fourth aspect of the present embodiment, on the premise of any one of the above-described first to third aspects, the reference data may be defined based on measurement data when the vehicle actually travels on the predetermined route.
[0159] Thereby, a diagnostic device or the like can use, as reference data, measurement data during actual vehicle travel under the condition that the state of the tire air pressure is appropriate, for example.
[0160] Further, in the fifth aspect of the present embodiment, on the premise of any one of the above-described first to fourth aspects, a diagnostic device or the like may include a determination unit that determines whether or not the vehicle has traveled on the predetermined route. The determination unit is, for example, the determination unit 154 or the determination unit 304 described above. And the diagnostic unit may diagnose the state of the tire air pressure of the vehicle when it is determined by the determination unit that the vehicle has traveled on the predetermined route.
[0161] Accordingly, when the vehicle travels on a predetermined route, a diagnostic device or the like can automatically diagnose the state of the air pressure of the vehicle's tires.
[0162] Further, in the sixth aspect of the present embodiment, on the premise of the above-described fifth aspect, the determination unit may determine whether or not the vehicle has traveled on the predetermined route based on the position information of the vehicle or the pattern of the time series of the measurement data of the physical quantity.
[0163] Accordingly, a diagnostic device or the like can determine whether or not the vehicle has traveled on a predetermined route.
[0164] Further, in the seventh aspect of the present embodiment, on the premise of any one of the above-described first to sixth aspects, a diagnostic device or the like may include a notification unit that notifies the user of the diagnostic result of the diagnostic unit. The notification unit is, for example, the above-described notification unit 156 or notification unit 306.
[0165] Accordingly, a diagnostic device or the like can notify the user of the diagnostic result regarding the state of the air pressure of the vehicle's tires.
[0166] Although the embodiments have been described in detail above, the present disclosure is not limited to such specific embodiments, and various modifications and changes are possible within the scope of the gist described in the claims.
Explanation of Signs
[0167] 1 Diagnostic system 10 Bicycle 12 Sensor 13 GNSS sensor 14 Input device 15 Control device 16 Output device 17 Communication device 20 Portable terminal 26 Communication interface 27 Input device 28 Output device 29 GNSS sensor 30 Server device 36 Communication Interface 37 Input Device 38 Output Device 151 Acquisition Unit 152 Reference Data Registration Unit 153 Memory Unit 154 Judgment Unit 155 Diagnosis Unit 156 Notification Unit 157 Sensor Data Transmission Unit 201 Location Information Transmission Unit 202 Request Transmission Unit 203 Diagnosis Result Display Unit 301 Acquisition Unit 302 Reference Data Registration Unit 303 Memory Unit 304 Judgment Unit 305 Diagnosis Unit 306 Notification Unit
Claims
1. An acquisition unit that acquires measurement data of a physical quantity related to the running of the vehicle, which is different from the air pressure of the tires of the vehicle, over the entire predetermined route when the vehicle runs on the predetermined route; A diagnosis unit that diagnoses the state of the air pressure of the tires of the vehicle based on the measurement data acquired by the acquisition unit and reference data representing the reference state of the physical quantity over the entire predetermined route when the vehicle runs on the predetermined route. Diagnostic device.
2. The diagnosis unit diagnoses the state of the air pressure of the tires of the vehicle by comparing the integrated value of the measurement data acquired by the acquisition unit over the entire predetermined route with a reference value as the reference data representing the reference state of the integrated value of the physical quantity over the entire predetermined route when the vehicle runs on the predetermined route. The diagnostic device according to claim 1.
3. The physical quantity includes at least one of the force applied by the driver of the vehicle to drive the vehicle, the energy consumed by the vehicle, and the rotational speed of the drive unit that drives the tire or the tire. The diagnostic device according to claim 1 or 2.
4. The reference data is defined based on measurement data when the vehicle actually runs on the predetermined route. The diagnostic device according to claim 1 or 2.
5. It includes a determination unit that determines whether the vehicle has run on the predetermined route. When the determination unit determines that the vehicle has run on the predetermined route, the diagnosis unit diagnoses the state of the air pressure of the tires of the vehicle. The diagnostic device according to claim 1 or 2.
6. The determination unit determines whether the vehicle has run on the predetermined route based on the position information of the vehicle or the pattern of the time series of the measurement data of the physical quantity. The diagnostic device according to claim 5.
7. It includes a notification unit that notifies the user of the diagnosis result of the diagnosis unit. The diagnostic device according to claim 1 or 2.
8. An acquisition unit that acquires measurement data of a physical quantity related to the running of the vehicle, which is different from the air pressure of the tires of the vehicle, over the entire predetermined route when the vehicle runs on the predetermined route; A diagnosis unit that diagnoses the state of the air pressure of the tires of the vehicle based on the measurement data acquired by the acquisition unit and reference data representing the reference state of the physical quantity over the entire predetermined route when the vehicle runs on the predetermined route. Vehicle.
9. An acquisition step in which a diagnostic device acquires measurement data of a physical quantity related to the running of the vehicle, which is different from the air pressure of the tires of the vehicle, over the entire predetermined route when the vehicle runs on the predetermined route; A diagnostic step in which the diagnostic device performs a diagnosis regarding the state of the air pressure of the tires of the vehicle based on the measurement data acquired in the acquisition step and reference data representing a reference state of the physical quantity over the entire predetermined route when the vehicle runs on the predetermined route. Diagnostic method.
10. In an information processing device, An acquisition step of acquiring measurement data of a physical quantity related to the running of the vehicle, which is different from the air pressure of the tires of the vehicle, over the entire predetermined route when the vehicle runs on the predetermined route; A diagnostic step of performing a diagnosis regarding the state of the air pressure of the tires of the vehicle based on the measurement data acquired in the acquisition step and reference data representing a reference state of the physical quantity over the entire predetermined route when the vehicle runs on the predetermined route. Program.
Citation Information
Patent Citations
System for detecting tire condition, electric bicycle, method for detecting tire condition, and program
JP2023092701A