Tire damage accumulation estimation system, computational model generation system, and tire damage accumulation estimation method

Abstract

To provide a tire damage accumulation amount estimation system capable of optimizing maintenance contents of a tire, an arithmetic model generation system and a tire damage accumulation amount estimation method.SOLUTION: A tire damage accumulation amount estimation system 100 includes a vehicle information acquisition part 12, and a damage calculation part 13. The vehicle information acquisition part 12 acquires a physical amount measured by a sensor provided in a tire 7 mounted on a vehicle, and information on a travel distance of the vehicle. The damage calculation part 13 has an arithmetic model 13b for calculating a damage accumulation amount received by the tire 7 on the basis of inputted information, and inputs the physical amount acquired by the vehicle information acquisition part 12 and the information on the travel distance to the arithmetic model 13b to calculate a damage accumulation amount of the tire 7.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a tire damage accumulation amount estimation system, an arithmetic model generation system, and a tire damage accumulation amount estimation method for estimating the accumulated amount of damage received by a tire mounted on a vehicle.

Background Art

[0002] Generally, a tire wears as it travels, depending on the driving conditions, the driving distance, etc. Also, recently, sensors for measuring the pressure and temperature of a tire have been attached to the tire, and devices for displaying the measured pressure and temperature have been commercialized.

[0003] Patent Document 1 describes a conventional repairability determination system for determining the repairability of a tire. This repairability determination system includes a usage condition TSN calculation unit that calculates a usage condition TSN indicating the amount of heat history per unit time under the usage conditions of the tire based on the rated speed in a predetermined driving section of a vehicle equipped with the tire and a predetermined calculation formula, a TTSN calculation unit that calculates a TTSN indicating the total amount of heat history over the entire usage period, and a repairability determination unit determination unit that determines the repairability of the tire based on the comparison result between the TTSN and a predetermined threshold value K.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] The tire retreading feasibility determination system described in Patent Document 1 determines whether a tire can be retreaded based on the amount of thermal history under the tire's operating conditions. The inventors have realized that by considering the amount of damage accumulated on the tire based on information such as the air pressure and temperature measured in the tire, as well as the vehicle's mileage, it is possible to improve the optimization of tire maintenance procedures.

[0006] This invention has been made in view of the above circumstances, and its purpose is to provide a tire damage accumulation estimation system, a calculation model generation system, and a tire damage accumulation estimation method that can optimize the maintenance procedures for tires. [Means for solving the problem]

[0007] A tire damage accumulation estimation system according to one aspect of the present invention comprises: a vehicle information acquisition unit that acquires information on physical quantities measured by sensors installed on tires mounted on a vehicle and information on the vehicle's mileage; and a damage calculation unit that has a calculation model for calculating the amount of damage accumulated on a tire based on the input information, and inputs the information on physical quantities and mileage acquired by the vehicle information acquisition unit into the calculation model to calculate the amount of damage accumulated on a tire.

[0008] Another aspect of the present invention is a calculation model generation system. The calculation model generation system comprises: a vehicle information acquisition unit that acquires information on physical quantities measured by sensors installed on tires mounted on a vehicle and information on the vehicle's mileage; a damage calculation unit that has a calculation model that calculates the amount of damage accumulated on a tire based on the input information and inputs the information on physical quantities and mileage acquired by the vehicle information acquisition unit into the calculation model to calculate the amount of damage accumulated on a tire; and a learning processing unit that learns the calculation model by comparing the maintenance content of the tire determined based on the amount of damage accumulated calculated by the damage calculation unit with the maintenance content obtained by inspecting the tire.

[0009] Another aspect of the present invention is a method for estimating tire damage accumulation. The tire damage accumulation estimation method comprises a vehicle information acquisition step of acquiring information on physical quantities measured by sensors installed on tires mounted on a vehicle and information on the vehicle's mileage, and a damage calculation step of calculating tire damage accumulation by inputting the physical quantities acquired in the vehicle information acquisition step and information on the mileage into a calculation model that calculates the amount of damage accumulated on the tire based on the input information. [Effects of the Invention]

[0010] According to the present invention, it is possible to optimize the maintenance procedures for tires. [Brief explanation of the drawing]

[0011] [Figure 1] This is a block diagram showing the functional configuration of the tire damage accumulation estimation system according to the embodiment. [Figure 2] This is a block diagram showing the functional configuration of an in-vehicle measurement device. [Figure 3] This chart shows the predictor variables calculated by the preprocessing unit. [Figure 4] This is a schematic diagram illustrating the calculation and learning of damage accumulation in the computational model. [Figure 5] This block diagram shows the functional configuration of the computational model generation system. [Figure 6] This flowchart shows the procedure for generating a computational model using the computational model generation system. [Modes for carrying out the invention]

[0012] The present invention will be described below with reference to Figures 1 to 6, based on preferred embodiments. The same or equivalent components and members shown in each drawing are denoted by the same reference numerals, and redundant explanations are omitted as appropriate. Furthermore, the dimensions of the members in each drawing are enlarged or reduced as appropriate for ease of understanding. Also, some members that are not important for explaining the embodiments are omitted in each drawing.

[0013] (Embodiment) Figure 1 is a block diagram showing the functional configuration of a tire damage accumulation estimation system 100 according to an embodiment. The tire damage accumulation estimation system 100 comprises an on-board measuring device 70 mounted on a vehicle, a weather information server device 80, and a damage accumulation estimation device 10 that estimates the amount of damage accumulated in each tire 7 mounted on the vehicle.

[0014] The damage accumulation estimation device 10 acquires vehicle measurement information such as vehicle speed, acceleration, and position information from an on-board measurement device 70 mounted on the vehicle, as well as tire measurement information measured by the tires 7, via a communication network 9 such as the Internet. The damage accumulation estimation device 10 also acquires weather information from a weather information server device 80. Based on the acquired information, the damage accumulation estimation device 10 performs calculations using a learning-type computation model to estimate the amount of damage accumulated in each tire 7.

[0015] Figure 2 is a block diagram showing the functional configuration of the in-vehicle measuring device 70. The in-vehicle measuring device 70 comprises a vehicle measuring unit 71, a tire measuring unit 72, an information acquisition unit 73, and a communication unit 74. Each part of the in-vehicle measuring device 70 can be realized in hardware terms using electronic elements and mechanical parts, including a computer CPU, and in software terms using computer programs, etc. However, this diagram depicts the functional blocks realized through the cooperation of these components. Therefore, it will be understood by those skilled in the art that these functional blocks can be realized in various forms through combinations of hardware and software.

[0016] The vehicle measurement unit 71 includes a speedometer 71a, a GPS receiver 71b, and an acceleration sensor 71c mounted on the vehicle. The speedometer 71a measures the speed of the vehicle. The GPS receiver 71b measures the current position information (latitude, longitude, and altitude) of the vehicle. The acceleration sensor 71c measures the acceleration of the vehicle in three axial directions.

[0017] The tire measurement unit 72 includes a temperature sensor 72a and a pressure sensor 72b. The temperature sensor 72a and the pressure sensor 72b are arranged at the air valve or the like of the tire 7 mounted on the vehicle, or are firmly wound and fixed to the wheel with a belt or the like, and measure the temperature and air pressure of the tire 7. The temperature sensor 72a may be arranged at the inner liner or the like of the tire 7. In addition, an acceleration sensor separate from the acceleration sensor 71c mounted on the vehicle may be arranged at the inner liner or the like of the tire 7.

[0018] The information acquisition unit 73 acquires vehicle measurement information (speed, position information, acceleration, etc.) measured by the vehicle measurement unit 71, tire measurement information (tire temperature and air pressure, etc.) measured by the tire measurement unit 72, and tire identification information and the like described later. The information acquisition unit 73 associates the measured time information or the acquired time information with each measurement data included in the vehicle measurement information and the tire measurement information. The information acquisition unit 73 transmits the vehicle measurement information and the tire measurement information to the damage accumulation amount estimation device 10 from the communication unit 74 together with the time information associated with each measurement data.

[0019] When an electronic control device of the vehicle or a device such as a digital tachometer is mounted on the vehicle, the information acquisition unit 73 may acquire the speed, acceleration, position information, etc. of the vehicle collected by the device. The communication unit 74 communicates and connects to the communication network 9 by wireless communication such as WiFi (registered trademark), and transmits the vehicle measurement information, the tire measurement information, and the time information acquired by the information acquisition unit 73 to the damage accumulation amount estimation device 10 via the communication network 9.

[0020] Returning to FIG. 1, the weather information server device 80 provides weather information for each location. The weather information provided by the weather information server device 80 is information including precipitation amount, snow accumulation amount, snowfall amount, temperature, sunshine duration, etc. at each location. The damage accumulation amount estimation device 10 acquires the weather information at the location where the vehicle is traveling from the weather information server device 80.

[0021] The damage accumulation amount estimation device 10 includes a communication unit 11, a vehicle information acquisition unit 12, a damage calculation unit 13, and a storage unit 14. Each part in the damage accumulation amount estimation device 10 can be realized hardware-wise by electronic elements such as a computer's CPU and mechanical parts, and software-wise by a computer program, etc. Here, however, functional blocks realized by their cooperation are depicted. Therefore, it is understood by those skilled in the art that these functional blocks can be realized in various forms by combinations of hardware and software.

[0022] The communication unit 11 is communicatively connected to the communication network 9 by wireless or wired communication and communicates with the communication unit 74 of the in-vehicle measurement device 70. Also, the communication unit 11 communicates with the weather information server device 80 via the communication network 9.

[0023] The vehicle information acquisition unit 12 acquires vehicle measurement information (speed, position information, acceleration, etc.) and tire measurement information (tire temperature and air pressure, etc.) transmitted from the in-vehicle measurement device 70 mounted on the vehicle. The vehicle information acquisition unit 12 calculates and acquires the traveling distance of the vehicle based on the vehicle measurement information.

[0024] The vehicle information acquisition unit 12 can calculate and acquire the mileage based on the location information of the vehicle measurement information. Alternatively, the mileage of the vehicle may be calculated based on the speed data in the vehicle measurement information and the time data associated with that data. That is, the mileage of the vehicle can be calculated by multiplying the chronologically arranged speed data by the time difference until the next point in time. The vehicle speed may be calculated from the mileage of the vehicle based on chronologically arranged location information and the location information acquisition interval.

[0025] The vehicle information acquisition unit 12 does not need to calculate the mileage itself if information regarding the vehicle's mileage is provided by the vehicle or an external device for vehicle management, and may acquire the mileage information from the vehicle or an external device.

[0026] The vehicle information acquisition unit 12 outputs the acquired mileage to the damage calculation unit 13. The vehicle information acquisition unit 12 also outputs the acquired tire measurement information (tire temperature and air pressure, etc.) to the damage calculation unit 13.

[0027] When the vehicle information acquisition unit 12 performs tire damage accumulation estimation based on a calculation model that uses the vehicle's acceleration as an input element in the damage calculation unit 13, it outputs acceleration data from the vehicle measurement information to the damage calculation unit 13.

[0028] The vehicle information acquisition unit 12 acquires data from the storage unit 14 that is used to estimate the amount of damage accumulated to the tire 7, from among the vehicle specification data 14a, tire specification data 14b, and tire position data 14c, and outputs it to the damage calculation unit 13. The storage unit 14 is a storage device composed of, for example, an SSD (Solid State Drive), a hard disk, a CD-ROM, a DVD, etc., and stores data that has been provided in advance regarding the specifications of various vehicles and tires 7.

[0029] Vehicle specification data 14a includes information on vehicle performance such as manufacturer, vehicle name, vehicle model, vehicle weight, drivetrain, overall length, vehicle width, vehicle height, and maximum load capacity. Tire specification data 14b includes information on tire performance such as manufacturer, product name, tire size, tire width, aspect ratio, wear resistance, tire strength, static stiffness, dynamic stiffness, tire outer diameter, load index, and manufacturing date.

[0030] Furthermore, the tire position data 14c includes the position of the tire to be worn on the vehicle, tire identification information, and information about the axle to which it is mounted. The tire identification information is a serial number, such as a manufacturing number, assigned to each tire to identify it. The tire identification information, tire placement position, and axle information can be stored in the storage unit 14 by an operator inputting the information, for example, when mounting the tires on the vehicle.

[0031] The damage calculation unit 13 comprises a preprocessing unit 13a, a calculation model 13b, and a maintenance determination unit 13c. Figure 3 is a diagram showing the predictive variables calculated by the preprocessing unit 13a. The preprocessing unit 13a calculates the value obtained by multiplying the tire pressure measured by the tire 7 by the distance traveled, and the value obtained by multiplying the difference between the tire pressure measured by the tire 7 and the specified tire pressure defined by the tire 7 by the distance traveled, as predictive variables related to tire pressure.

[0032] The preprocessor 13a calculates predictive variables related to tire temperature, which include a value obtained by multiplying the tire temperature measured by the tire 7 by the distance traveled, and a value obtained by multiplying the difference between the tire temperature measured by the tire 7 and the specified tire temperature (such as the tire's limit temperature) specified for the tire by the distance traveled. The specified tire temperature may be the limit temperature that the tire's rubber material can tolerate within the range where tire bursts or other malfunctions do not occur, a tire temperature specified according to the service life, or the average temperature of the tire 7 during typical vehicle driving (for example, at a driving speed of 50 km / h).

[0033] The amount of damage to the tire 7 mounted on the vehicle varies depending on the tire pressure and temperature under the operating conditions, and the distance traveled under those conditions. Alternatively, the amount of damage to the tire 7 can be considered to change based on the product of the difference between the tire pressure measured on the tire 7 and the tire's specified pressure, or the difference between the tire temperature measured on the tire 7 and the tire's specified temperature (such as the tire's limit temperature), and the distance traveled under those conditions.

[0034] For example, under conditions of low tire pressure and a long mileage, the tire 7 is more susceptible to wear damage at both ends in the tire width direction, i.e., the shoulders of the tire tread. Also, when the tire temperature is low, the volume of air inside the tire 7 decreases, causing a similar phenomenon to that of low tire pressure. Furthermore, the rigidity of the rubber material of the tire 7 itself changes depending on the tire temperature, and the amount of damage such as wear damage to the tire 7 changes depending on the mileage the vehicle travels under those conditions.

[0035] The preprocessor 13a calculates the value obtained by multiplying the acceleration measured by the tire 7 or vehicle by the distance traveled, and the value obtained by multiplying the difference between the acceleration measured by the tire 7 or vehicle and the specified acceleration by the distance traveled, as acceleration-related predictor variables. The preprocessor 13a may also calculate the number of times the acceleration measured by the tire 7 or vehicle exceeds the specified acceleration as a predictor variable. Furthermore, the preprocessor 13a may calculate predictor variables for acceleration in all three axes, or it may calculate predictor variables for acceleration in any one or two axes.

[0036] The tire 7 will suffer significant damage if, for example, it drives over a curb on the roadway or if it travels on a road surface with many bumps. These events can be observed by the fact that the acceleration measured by the tire 7 or the vehicle becomes extremely large. The preprocessing unit 13a uses the value obtained by multiplying the difference between the measured acceleration and the specified acceleration by the distance traveled, and the number of times the acceleration exceeded the specified acceleration, as predictive variables for estimating the amount of accumulated damage.

[0037] The damage calculation unit 13 inputs the predictive variables calculated by the preprocessing unit 13a into the calculation model 13b to calculate the amount of damage accumulated on the tire 7. The calculation model 13b is a learning model that calculates the amount of damage accumulated on the tire 7 based on the input information. The maintenance determination unit 13c determines the maintenance content for the tire 7 based on the amount of damage accumulated by the calculation model 13b.

[0038] Maintenance items can be divided into categories such as the need for tire rotation, retread repair, and disposal. The maintenance determination unit 13c determines the maintenance content by comparing and determining the amount of accumulated damage using multiple reference values.

[0039] Figure 4 is a schematic diagram illustrating the calculation and learning of damage accumulation in the computational model 13b. The input data to the computational model 13b is generally classified into the following categories: vehicle measurement information, tire measurement information, pre-processed predictive variables, and other information.

[0040] The input data related to vehicle measurement information includes the vehicle's acceleration and mileage. The mileage is acquired by the vehicle information acquisition unit 12 as described above. The input data related to tire measurement information includes the temperature and air pressure of the tire 7. The vehicle's acceleration will be used as input data to the calculation model as appropriate.

[0041] The input data for the predictive variables obtained through preprocessing are the predictive variables calculated in the preprocessing unit 13a, which are calculated based on tire pressure, tire temperature, acceleration, and mileage, as described above.

[0042] Other input data includes road surface conditions estimated based on weather information, temperature, sunshine hours, and precipitation, the maximum load capacity of the vehicle included in vehicle specification data 14a, and the age and wear resistance of the tire 7 included in tire specification data 14b. The age of the tire 7 is the number of years elapsed since the tire 7 was manufactured. The wear resistance of the tire 7 is determined using, for example, a tire wear index value that quantifies the wear resistance of various tread compounds based on the Lambourn wear test, with the standard compound set to 100.

[0043] Other input data includes the position of tire 7, tire identification information, and axle information included in the tire position data 14c. The maximum load capacity of the vehicle included in the vehicle specification data 14a is used to simplify the calculation. The load on each tire 7 changes depending on how the cargo is loaded, but for example, assuming that the empty weight and maximum load capacity for each axle are applied to the vehicle's center of gravity, the load on each tire 7 is calculated by distributing the weight based on the distance between the center of gravity and the axle. Alternatively, for example, by attaching dedicated sensors to the vehicle's suspension to constantly measure the load on each axle, the total weight, and the load capacity, the load on each tire 7 can be calculated in real time, regardless of the maximum load capacity.

[0044] The computational model 13b uses a learning model such as a neural network. The computational model 13b is constructed using methods such as a Deep Neural Network (DNN) or a decision tree. Alternatively, the computational model 13b may be a multilinear regression model on input information, and the model may be generated through learning.

[0045] Figure 5 is a block diagram showing the functional configuration of the computational model generation system 110. In addition to the configuration of the tire damage accumulation estimation system 100, the computational model generation system 110 includes a tire inspection device 60 and a computational model generation device 20 having a learning processing unit 21.

[0046] The tire inspection device 60 is a device that inspects the damage condition of the tire 7, including the amount of wear, and the maintenance content for the tire 7 is determined by the worker based on the inspection results of the tire inspection device 60. The tire inspection device 60 can, for example, directly measure the depth of the grooves provided in the tread of the tire 7 and obtain the amount of wear of the tire 7. Alternatively, the worker may measure the depth of each groove using measuring instruments, cameras, or visual inspection, and the tire inspection device 60 may store the measurement data entered by the worker.

[0047] Furthermore, the tire inspection device 60 may also have a function to measure the internal structural condition of the tire 7 (e.g., separation between rubber components) using X-rays, and a function to measure the physical properties of sample material obtained from the tire 7 (e.g., belt peeling force). A decrease in belt peeling force indicates a deterioration in the tire's durability. By having these functions in the tire inspection device 60, the operator can more efficiently determine the maintenance required for the tire 7.

[0048] Regarding the wear of the tire 7, the tire inspection device 60 measures at four locations in the width direction if, for example, there are four tire grooves, and also measures at three locations in the circumferential direction of the same groove, for example, at 120° intervals. As a result, uneven wear data in the width direction or circumferential direction of the tire is also stored in the tire inspection device 60. Since the diameter changes as the tire wears down, the tire inspection device 60 may indirectly measure the groove depth by calculation from the mileage and tire rotation speed information. In addition, a method that directly measures the groove depth may be used in combination with a method that predicts the groove depth by calculation from the mileage and tire rotation speed.

[0049] The parts of the computational model generation device 20 that correspond to each component of the damage accumulation estimation device 10 have the same functionality as those of the damage accumulation estimation device 10, but the computational model 13b is either pre-training or in the process of training.

[0050] The learning processing unit 21 trains the calculation model 13b based on the actual maintenance content determined based on the inspection results from the tire inspection device 60. Referring to Figure 4, during the learning process of the calculation model 13b, the calculation model 13b calculates the amount of accumulated damage based on the input information, and the maintenance content determined by the maintenance determination unit 13c is used as output data and compared with the training data. The training data uses the actual maintenance content determined based on the inspection results from the tire inspection device 60. As described above, the maintenance content includes, for example, the need for tire rotation, retreading, and disposal. In addition, the maintenance determination unit 13c may perform separation determination between rubber members in the internal structure of the tire and threshold determination of belt peeling force reduction based on the amount of accumulated damage, and compare these with the actual separation determination results and belt peeling force reduction threshold determination results (training data) obtained by the tire inspection device 60. Depending on the level of separation between rubber members and belt peeling force reduction, tire rotation, retreading, and disposal may be determined.

[0051] The learning processing unit 21 newly sets various coefficients in the calculation process of the damage accumulation amount estimated by the calculation model 13b, and performs learning by repeatedly updating the model. The tire damage accumulation amount estimation system 100 estimates the damage accumulation amount of the tire 7 using the calculation model 13b that has been learned by the calculation model generation system 110, and the maintenance determination unit 13c determines the maintenance content.

[0052] The learning processing unit 21 may change the reference values ​​used for judgment in the maintenance judgment unit 13c and proceed with the learning process. In this case, the maintenance judgment unit 13c may also be considered as part of the computational model 13b. The learning processing unit 21 can use known learning methods such as gradient boosting. Furthermore, known verification methods such as random data sampling and cross-validation can be used to verify the computational model 13b.

[0053] Next, the operation of the tire damage accumulation estimation system 100 and the calculation model generation system 110 will be explained. Figure 6 is a flowchart showing the procedure for generating a calculation model by the calculation model generation system 110. The vehicle information acquisition unit 12 starts acquiring vehicle measurement information and tire measurement information (S1). In step S1, the vehicle information acquisition unit 12 of the calculation model generation device 20 also reads necessary information from the storage unit 14 as other information, such as vehicle specifications, tire specifications, tire position, maximum load capacity of the vehicle, and tire wear resistance performance. The vehicle information acquisition unit 12 starts calculating the mileage (S2).

[0054] The preprocessing unit 13a of the damage calculation unit 13 calculates predictive variables to be input to the calculation model 13b based on tire pressure, tire temperature, and mileage (S3). As described above, the preprocessing unit 13a calculates the predictive variables related to tire pressure, tire temperature, and acceleration.

[0055] The damage calculation unit 13 inputs the input data from the vehicle information acquisition unit 12 and the predictive variables calculated by the preprocessing unit 13a into the calculation model 13b, and the calculation model 13b calculates and estimates the amount of damage accumulated on the tire 7 (S4). Based on the amount of damage accumulated by the calculation model 13b, the damage calculation unit 13 uses the maintenance determination unit 13c to determine the maintenance content for the tire 7 (S5).

[0056] The learning processing unit 21 compares the maintenance content of the tire 7 determined by the maintenance determination unit 13c with the actual maintenance content (training data) determined based on the inspection results from the tire inspection device 60 (S6). Based on the comparison result from step S7, the learning processing unit 21 updates the calculation model 13b (S8) and terminates the process. The calculation model generation device 20 updates the calculation model 13b by repeating these processes, thereby improving the accuracy of estimating the amount of damage accumulated in the tire 7 and optimizing the determination of the maintenance content.

[0057] The tire damage accumulation estimation system 100 estimates the amount of damage accumulated in the tire 7 using a trained calculation model 13b generated by the calculation model generation device 20. The tire damage accumulation estimation system 100 estimates the amount of damage accumulated in the tire 7 by executing the processes from step S1 to step S4 in the flowchart shown in Figure 6, and determines the maintenance content of the tire 7 by executing the process in step S5.

[0058] The tire damage accumulation estimation system 100 improves the accuracy of estimating the amount of damage accumulated in the tire 7 under usage conditions and optimizes the determination of maintenance content by using predictive variables based on tire pressure, tire temperature, and mileage as input data for the calculation model 13b. Furthermore, the tire damage accumulation estimation system 100 can provide the determined maintenance content to the operator.

[0059] Similarly, the calculation model generation system 110 can generate a calculation model 13b that has high accuracy in estimating the amount of damage accumulated in the tire 7 and can properly determine the maintenance content by using predictive variables based on tire pressure, tire temperature, and mileage as input data for the calculation model 13b.

[0060] If the vehicle's mileage is measured moment by moment and provided by an on-board device, the damage calculation unit 13 may use the provided mileage instead of calculating by the vehicle information acquisition unit 12.

[0061] The damage calculation unit 13 inputs weather information into the calculation model 13b to calculate the amount of accumulated damage. Weather information includes, for example, road surface conditions, temperature, sunshine duration, and precipitation estimated based on weather information. By inputting this information into the calculation model 13b to calculate the amount of accumulated damage, the accuracy of estimating the amount of accumulated damage to the tire 7 is further improved.

[0062] The preprocessing unit 13a of the damage calculation unit 13 calculates predictive variables such as the difference between the measured tire pressure and the specified tire pressure multiplied by the distance traveled. The damage calculation unit 13 inputs the predictive variables based on tire pressure into the calculation model 13b to calculate the amount of accumulated damage, thereby improving the accuracy of estimating the amount of accumulated damage under the usage conditions of the tire 7.

[0063] Furthermore, the preprocessing unit 13a of the damage calculation unit 13 calculates predictive variables such as the difference between the measured tire temperature and the specified tire temperature multiplied by the distance traveled. The damage calculation unit 13 inputs the predictive variables based on the tire temperature into the calculation model 13b to calculate the amount of accumulated damage, thereby improving the accuracy of estimating the amount of accumulated damage under the usage conditions of the tire 7.

[0064] Furthermore, the preprocessing unit 13a of the damage calculation unit 13 calculates predictive variables such as the amount obtained by multiplying the difference between the acceleration measured by the tire 7 or vehicle and the specified acceleration by the distance traveled, and the number of times the acceleration measured by the tire 7 or vehicle exceeds the specified acceleration. The tire damage accumulation estimation system 100 can improve the accuracy of estimating the amount of damage accumulated under the usage conditions of the tire 7 by using predictive variables such as the amount obtained by multiplying the difference between the measured acceleration and the specified acceleration by the distance traveled, and the number of times the measured acceleration exceeds the specified acceleration. The damage calculation unit 13 can improve the accuracy of estimating the amount of damage accumulated under the usage conditions of the tire 7 by inputting the acceleration measured by the tire 7 and the acceleration of the vehicle into the calculation model 13b and calculating the amount of damage accumulated.

[0065] Next, the features of the tire damage accumulation estimation system 100, the calculation model generation system 110, and the tire damage accumulation estimation method according to each embodiment will be described. The tire damage accumulation estimation system 100 comprises a vehicle information acquisition unit 12 and a damage calculation unit 13. The vehicle information acquisition unit 12 acquires information on physical quantities measured by sensors installed on the tires 7 mounted on the vehicle, and the vehicle's mileage. The damage calculation unit 13 has a calculation model 13b that calculates the amount of damage accumulated on the tires 7 based on the input information, and inputs the physical quantities and mileage information acquired by the vehicle information acquisition unit 12 into the calculation model 13b to calculate the amount of damage accumulated on the tires 7. As a result, the tire damage accumulation estimation system 100 can estimate the amount of damage accumulated on the tires 7 using the physical quantities measured on the tires 7 and the vehicle's mileage, thereby improving the accuracy of maintenance decisions.

[0066] Furthermore, the damage calculation unit 13 determines the maintenance content for the tire 7 based on the amount of accumulated damage calculated by the calculation model 13b. As a result, the tire damage accumulation estimation system 100 can provide the worker with the maintenance content determined based on the estimated amount of accumulated damage.

[0067] Furthermore, the damage calculation unit 13 inputs the difference between the measured tire pressure and the specified tire pressure multiplied by the distance traveled into the calculation model 13b to calculate the amount of accumulated damage. As a result, the tire damage accumulation estimation system 100 can improve the accuracy of estimating the amount of accumulated damage by using information on the tire pressure under the usage conditions of the tire 7.

[0068] Furthermore, the damage calculation unit 13 inputs the number of times the measured acceleration exceeds a specified acceleration into the calculation model 13b to calculate the amount of accumulated damage. As a result, the tire damage accumulation estimation system 100 can improve the accuracy of its damage accumulation estimation by using information on the acceleration measured by the tire 7 and the vehicle's acceleration under the tire 7's operating conditions.

[0069] Furthermore, the damage calculation unit 13 inputs the difference between the measured tire temperature and the specified tire temperature multiplied by the distance traveled into the calculation model 13b to calculate the amount of accumulated damage. As a result, the tire damage accumulation estimation system 100 can improve the accuracy of estimating the amount of accumulated damage by using information on the temperature of the tire 7 under the usage conditions of the tire 7.

[0070] The calculation model generation system 110 comprises a vehicle information acquisition unit 12, a damage calculation unit 13, and a learning processing unit 21. The vehicle information acquisition unit 12 acquires information on physical quantities measured by sensors installed on the tires 7 mounted on the vehicle, and information on the vehicle's mileage. The damage calculation unit 13 has a calculation model 13b that calculates the amount of damage accumulated on the tires 7 based on the input information, and inputs the physical quantities and mileage information acquired by the vehicle information acquisition unit 12 into the calculation model 13b to calculate the amount of damage accumulated on the tires 7. The learning processing unit 21 compares the maintenance content of the tires 7 determined based on the amount of damage accumulated by the damage calculation unit 13 with the maintenance content obtained by inspecting the tires 7, and trains the calculation model 13b. As a result, the calculation model generation system 110 can generate a calculation model 13b that can accurately estimate the amount of damage accumulated on the tires 7 and optimize the maintenance content.

[0071] The tire damage accumulation estimation method comprises a vehicle information acquisition step and a damage calculation step. The vehicle information acquisition step acquires information on physical quantities measured by sensors installed on the tires 7 mounted on the vehicle, and the vehicle's mileage. The damage calculation step calculates the tire damage accumulation by inputting the physical quantities and mileage information acquired in the vehicle information acquisition step into a calculation model 13b that calculates the amount of damage accumulated on the tire 7 based on the input information. This method allows for the estimation of the tire damage accumulation using the physical quantities measured on the tire 7 and the vehicle's mileage, thereby improving the accuracy of maintenance decisions.

[0072] The embodiments of the present invention have been described above. These embodiments are illustrative, and it will be understood by those skilled in the art that various modifications and changes are possible within the scope of the claims of the present invention, and that such modifications and changes are also within the scope of the claims of the present invention. Accordingly, the descriptions and drawings herein should be treated as illustrative rather than limiting. [Explanation of Symbols]

[0073] 7 Tires, 12 Vehicle information acquisition unit, 13 Damage calculation unit, 13b Computation model, 21 Learning processing unit, 72a Temperature sensor (sensor), 72b Pressure sensor (sensor), 100 Tire damage accumulation estimation system, 110. Computational model generation system.

Claims

1. The system includes a tire measurement unit that acquires information from a tire measurement unit that obtains physical quantities measured by sensors installed on the tires mounted on the vehicle, as well as a vehicle information acquisition unit that acquires information regarding the vehicle's acceleration and mileage. A damage calculation unit has a trained calculation model that calculates the amount of damage accumulated on a tire based on the input information, and inputs information on physical quantities, vehicle acceleration, and mileage acquired by the vehicle information acquisition unit into the calculation model to calculate the amount of damage accumulated on the tire. Equipped with, The tire damage accumulation estimation system is characterized in that the damage calculation unit compares and determines the level of at least one of the separation between rubber members in the internal structure of the tire and the reduction in belt peeling force by comparing the amount of accumulated damage calculated by the calculation model using a plurality of reference values, and determines which of a plurality of maintenance items for the tire, including disposal, should be performed according to the determined level.

2. The tire damage accumulation estimation system according to claim 1, characterized in that the multiple reference values ​​are learned together with the calculation model using the results of the determination of separation and belt peeling force reduction obtained by inspecting the tire, as well as the maintenance details, as training data.

3. The tire damage accumulation estimation system according to claim 1 or 2, characterized in that the damage calculation unit inputs an amount obtained by multiplying the difference between the measured tire pressure and the specified tire pressure by the distance traveled into the calculation model to calculate the amount of accumulated damage.

4. The tire damage accumulation estimation system according to any one of claims 1 to 3, characterized in that the damage calculation unit inputs the number of times the measured acceleration exceeds a specified acceleration to the calculation model and calculates the amount of accumulated damage.

5. The tire damage accumulation estimation system according to any one of claims 1 to 3, characterized in that the damage calculation unit inputs an amount obtained by multiplying the difference between the measured tire temperature and the specified tire temperature by the distance traveled to the calculation model to calculate the amount of accumulated damage.

6. The system includes a tire measurement unit that acquires information from a tire measurement unit that obtains physical quantities measured by sensors installed on the tires mounted on the vehicle, as well as a vehicle information acquisition unit that acquires information regarding the vehicle's acceleration and mileage. A damage calculation unit has a learning-type calculation model that calculates the amount of damage accumulated in a tire based on the input information, inputs information on physical quantities, vehicle acceleration, and mileage acquired by the vehicle information acquisition unit into the calculation model to calculate the amount of damage accumulated in the tire, and determines the level of at least one of separation between rubber members in the internal structure of the tire and a decrease in belt peeling force by comparing and determining the calculated amount of damage accumulated using multiple reference values, and determines which of several maintenance items for the tire, including disposal, should be performed according to the determined level. A learning processing unit that learns the calculation model by comparing the results of the determination of separation and belt peeling force reduction determined by the damage calculation unit, and the tire maintenance details, with the results of the determination of separation and belt peeling force reduction obtained by inspecting the tire, and the maintenance details, A computational model generation system characterized by comprising the following features.

7. A vehicle information acquisition step that acquires information from a tire measurement unit that obtains physical quantities measured by sensors installed on the tires mounted on the vehicle, as well as information regarding the vehicle's acceleration and mileage, A damage calculation step involves inputting information about the physical quantities, vehicle acceleration, and mileage acquired in the vehicle information acquisition step into a trained calculation model that calculates the amount of damage accumulated on the tire based on the input information, and calculating the amount of damage accumulated on the tire. Equipped with, The tire damage accumulation estimation method is characterized in that the damage calculation step involves comparing and determining the amount of accumulated damage calculated by the calculation model using a plurality of reference values ​​to determine the level of at least one of separation between rubber members in the internal structure of the tire and a decrease in belt peeling force, and determining which of a plurality of tire maintenance procedures, including disposal, should be performed according to the determined level.

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