A tire travel monitoring method and system

Abstract

The application belongs to the technical field of tire monitoring, and provides a tire travel monitoring method and system, according to tire temperature information, tire information in a monitoring time is divided into several travels, according to the divided tire travel, the performance of the tire under different travels is monitored, and the fine monitoring demand of the intelligent networked automobile is met. Its technical scheme is: including: acquiring tire temperature data; preprocessing the tire temperature data to obtain preprocessed tire temperature data; dividing the travel according to the preprocessed tire temperature data; monitoring the performance of the tire under different travels according to the divided travel, the tire temperature data is acquired in the whole monitoring period, the whole monitoring period contains several temperature rising and falling processes, that is, several travels, and the specific division logic is: according to the tire temperature data in the whole tracking period, all temperature peak values of the target tire in the period are selected; the starting temperature rising to the final temperature falling time node of each temperature peak value is taken as the starting point of the travel.

Description

Technical Field

[0001] This invention belongs to the field of tire monitoring technology, and in particular relates to a tire travel monitoring method and system. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] As automobiles transform towards intelligence and connectivity, smart tire technology is iterating rapidly, integrating functions such as tire pressure monitoring and wear recognition, becoming a core component in ensuring driving safety. Currently, the industry and consumers have an urgent need for dynamic monitoring of the entire tire lifecycle, and accurate mileage determination is a key basis for assessing tire life, optimizing energy consumption, and planning autonomous driving routes. However, mainstream intelligent driving systems rely on the product of speed and time to calculate mileage, judging the distance traveled based solely on the overall displacement of the vehicle, without considering the local characteristics and physical response differences of the tires. In actual driving, tires generate heat due to friction and deformation, and the journey must go through a phased process of "normal temperature - significant temperature rise - sustained high temperature - significant temperature drop - normal temperature". Existing methods for determining travel distance cannot capture this temperature change, making it difficult to distinguish between effective driving and idling, short-distance movement, and other scenarios. This results in an inability to provide accurate data for tire health management, increases safety risks, and fails to meet the refined monitoring needs of intelligent connected vehicles. Summary of the Invention

[0004] To address at least one of the technical problems existing in the background art described above, the first aspect of the present invention provides a tire travel monitoring method and system. By monitoring and collecting information such as tire temperature and tire pressure, the tire information within the monitoring time is divided into several travel segments based on the tire temperature information. Based on the divided tire travel segments, the tire performance under different travel segments is monitored, thus meeting the refined monitoring needs of intelligent connected vehicles.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: The first aspect of this invention provides a tire travel monitoring method, comprising: Obtain tire temperature data; The tire temperature data is preprocessed to obtain preprocessed tire temperature data; The travel distance is divided based on the pre-processed tire temperature data; The tire performance under different travel distances is monitored based on the divided travel distances. The preprocessed tire temperature data obtained represents the entire tracking cycle, which includes several heating and cooling processes, i.e., several strokes. The specific division logic is as follows: Based on the tire temperature data throughout the entire tracking period, select all temperature peaks of the target tire during this period. The starting point of the journey is defined as the time point from the initial temperature rise to the final temperature drop for each of the aforementioned temperature peaks.

[0006] As a further implementation scheme, the tire temperature data is preprocessed, specifically: when the amount of missing data from a single sensor is less than or equal to 3 consecutive points, it is assumed that... x n , x n+1 , x n+2 For the missing temperature information, the corresponding time point is: t n , t n+1 , t n+2 Therefore, the formula for calculating missing point information is: .

[0007] As a further implementation plan, when a single sensor has more than 4 consecutive missing data points, it is judged as a sensor malfunction, and data from the same sensor at the same time is selected to replace the missing consecutive data points. If multiple sensors have more than 4 consecutive missing data points at the same time, then that data segment is removed.

[0008] As a further implementation scheme, the stroke division defines a complete temperature rise and fall process as an independent stroke for the tire; The preprocessed tire temperature data obtained is for the entire tracking cycle, which includes several heating and cooling processes, i.e., several strokes. The specific division logic is as follows: Based on the tire temperature data throughout the entire tracking period, select all temperature peaks of the target tire during this period.

[0009] As a further implementation plan, tire pressure, speed, load, and altitude information are divided according to the same time node of the starting point of the divided journey; the performance of the tire under different journeys is monitored based on the divided journey.

[0010] As a further implementation, the performance of the tire under different travel distances includes air tightness, specifically: Based on the tire pressure data for the defined travel distances, the pressure loss after each travel distance is calculated to measure the tire's air tightness. The calculation method is as follows:

[0011] in, and This represents the cold pressure and the corresponding temperature. and This represents the temperature and pressure at the end of the nth stroke.

[0012] A second aspect of the present invention provides a tire travel monitoring system, employing the steps of a tire travel monitoring method provided in the first aspect of the present invention, including: The data acquisition module is configured to acquire tire temperature data. The preprocessing module is configured to preprocess the tire temperature data to obtain preprocessed tire temperature data. The stroke division module is configured to divide the stroke according to the preprocessed tire temperature data; The performance monitoring module is configured to monitor the tire's performance at different travel distances based on the divided travel distances.

[0013] A third aspect of the present invention provides a computer-readable storage medium.

[0014] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the tire travel monitoring method described above.

[0015] A fourth aspect of the present invention provides a computer program product.

[0016] A computer program product includes a computer program / instructions that, when executed by a processor, implement the steps in the tire travel monitoring method described above.

[0017] A fifth aspect of the present invention provides an electronic device.

[0018] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps in the tire travel monitoring method described above.

[0019] The beneficial effects of this invention are: 1. This invention divides tire information within a monitoring period into several strokes based on tire temperature information, and monitors tire performance under different strokes according to the divided tire strokes, thus meeting the refined monitoring needs of intelligent connected vehicles.

[0020] 2. Based on the temperature-divided travel, and using the time node of the travel start point as the basis, information such as tire pressure, speed, load, and altitude are divided according to the same time node, which enables the monitoring of different tire performance and improves the comprehensiveness of tire monitoring.

[0021] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0022] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0023] Figure 1 This is an overall flowchart of a tire travel monitoring method provided by the present invention; Figure 2 This is an overall flowchart of a tire travel monitoring system provided by the present invention; Figure 3 This is a flowchart of the stroke division of a tire stroke monitoring method provided by the present invention; Figure 4 This is a temperature line graph of the tracking cycle of a tire travel monitoring method provided by the present invention; Figure 5 This is a single-stroke temperature line graph of a tire travel monitoring method provided by the present invention; Figure 6 This is a pie chart showing the speed percentage of a tire travel monitoring method provided by this invention; Figure 7 This invention provides a daily uphill and downhill statistical chart of a tire travel monitoring method. Figure 8 This is a pie chart showing the load range statistics of a tire travel monitoring method provided by the present invention; Figure 9 This is a data preprocessing flowchart of a tire travel monitoring method provided by the present invention. Detailed Implementation

[0024] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0025] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0026] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form as well. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0027] In this invention, terms such as "upper," "lower," "left," "right," "front," "back," "vertical," "horizontal," "side," and "bottom" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used only to facilitate the description of the structural relationships of the various components or elements of this invention and do not specifically refer to any component or element in this invention. They should not be construed as limiting the invention.

[0028] In this invention, terms such as "fixed connection," "connected," and "linked" should be interpreted broadly, indicating a fixed connection, an integral connection, or a detachable connection; a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can determine the specific meaning of these terms in this invention based on the specific circumstances, and they should not be construed as limitations on the invention.

[0029] Example 1 This embodiment provides a tire travel monitoring method, such as Figure 1 As shown, it includes: Obtain tire temperature data; The tire temperature data is preprocessed to obtain preprocessed tire temperature data. The stroke is divided based on the pre-processed tire temperature data; The performance of the tires under different travel distances is monitored based on the divided travel distances.

[0030] In a specific implementation, tire temperature data is collected by installing a temperature sensor inside the tire cavity. Additionally, a pressure sensor, a speed sensor, and a load sensor are also installed inside the tire cavity to acquire tire pressure, speed, and load data, respectively.

[0031] Altitude data is acquired through a GPS signal receiving device, which receives GPS signals and uses these signals to obtain altitude data. The GPS signal receiving device is installed at the front of the vehicle.

[0032] Data collected by each sensor is transmitted to the user terminal via cloud data. Each sensor collects data once every 10 seconds, and in this embodiment, the data analysis frequency is once every 5 minutes.

[0033] In specific implementation methods, such as Figure 9 As shown, preprocessing of tire temperature data addresses discontinuities in the temperature sensor data collection, such as time series breaks, missing data, or temporal inconsistencies. When a single sensor has at least three consecutive missing data points (i.e., 15 minutes of continuous data loss), it is assumed that... x n , xn+1 , x n+2 For the missing temperature information, the corresponding time point is: t n , t n+1 , t n+2 Therefore, the formula for calculating missing point information is: (1) When a single sensor has more than 4 consecutive missing data points (i.e., 20 minutes of continuous data loss), it is considered a sensor malfunction, and data from the same sensor at the same wheel position during the same period is selected to replace the missing consecutive data points. If multiple sensors have more than 4 consecutive missing data points simultaneously, that data segment is removed.

[0034] like Figure 3 As shown, the route division is to divide the route as follows: Figure 5 The "complete temperature rise and fall process" shown is defined as an independent stroke of the tire. This is achieved by capturing the entire cycle of tire temperature changes from the initial heating to the final cooling. The specific division logic is as follows: Figure 4 As shown, based on the tire temperature data throughout the entire tracking cycle, all temperature peaks of the target tire during this cycle are selected. The selection criteria for peaks are: temperature data with a temperature greater than 50℃ throughout the entire tracking cycle. Based on the data length between each pair of peaks, further selection of peaks is performed: (2) when When the two peak values ​​are combined, only the peak value with the higher tire temperature data is retained. At that time, two peak values ​​are retained.

[0035] Based on the temperature peak, the temperature gradient is calculated forward along the time series. The formula for calculating the temperature gradient is: (3) Among them, using Represents the frequency of temperature changes, when Calculations should be stopped when the magnitude tends to stabilize or when the time points are discontinuous. This represents the change in temperature, indicating the numerical increase or decrease in tire temperature over a given time interval. t represents the change in time, indicating the corresponding time interval selected when calculating the temperature gradient. Simultaneously, the following formula is used to determine whether the stop calculation point is the start of the journey: (4) Where x_stop represents the temperature value when gradient calculation stops, and x_room represents the ambient temperature at this time. When the temperature at which gradient calculation stops and the ambient temperature differ by no more than 10%, it is considered to be close to the ambient temperature, and the temperature at the point where gradient calculation stops is regarded as the starting point of the journey.

[0036] When the temperature at which the calculation stops differs from the ambient temperature by more than 10%, the following criteria shall apply: (5) when At this point, the gradient is calculated forward to determine the starting point of the journey; when When the temperature at the stopping point is reached, the calculation stops, and the temperature at the stopping point is taken as the starting point of the journey.

[0037] Based on the temperature peak, the temperature gradient is calculated forward along the time series to determine the end point of the journey. The method for determining the end point is the same as that for determining the start point, so it will not be repeated here.

[0038] All monitoring data were divided into several tire travel distances according to the above travel determination method.

[0039] In a specific implementation, the pre-defined travel distance is divided according to the time point of the travel start and end, and information such as tire pressure, speed, load, and altitude are divided according to the same time point. The tire performance is then monitored based on the divided travel distance.

[0040] Tire performance under different travel distances includes air tightness, speed, incline / descent, and load, specifically: Based on the tire pressure data for the defined travel distances, the pressure loss after each travel distance is calculated to measure the tire's air tightness. The calculation method is as follows: (6) in, and This represents the cold pressure and the corresponding temperature. and This represents the temperature and pressure at the end of the nth stroke. Under this calculation method, the tire is considered to be an isochoric container, and its volume does not change. The pressure loss after each stroke is calculated as follows: (7) like Figure 6 As shown, based on the speed information of all trips within the tracking period, the speeds are divided into "0-30 low speed", "30-60 medium speed", "60-90 high speed", and ">90 ultra-high speed" and their proportions are calculated. The proportion calculation method is as follows: (8) in, This indicates the percentage of different speed ranges. This represents the number of statistics for different speed ranges. It indicates the total number of statistics.

[0041] like Figure 7 As shown, the uphill and downhill sections during the journey are determined based on the altitude information of all trips within the tracking period. The specific determination method is as follows: when the difference between two consecutive altitude records is greater than 100 meters, it is determined as an uphill or downhill behavior, with a positive value considered as uphill and a negative value considered as downhill.

[0042] like Figure 8 As shown, based on the load information of all trips within the tracking period, the weight is divided into "0-30", "30-60", and ">60" categories, and the proportion is calculated. The proportion calculation method is as follows: (9) in, This indicates the percentage of different load ranges. This indicates the number of statistics for different load ranges. It indicates the total number of statistics.

[0043] Example 2 This embodiment provides a tire travel monitoring system, employing the steps of a tire travel monitoring method disclosed in Embodiment 1 of this invention, such as... Figure 2 As shown, it includes: The data acquisition module is configured to acquire tire temperature data. The preprocessing module is configured to preprocess the tire temperature data to obtain preprocessed tire temperature data. The stroke division module is configured to divide the stroke based on the pre-processed tire temperature data; The performance monitoring module is configured to monitor the tire's performance at different travel distances based on the divided travel distances.

[0044] Example 3 This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the tire travel monitoring method described above.

[0045] Example 4 A computer program product includes a computer program / instructions that, when executed by a processor, implement the steps in the tire travel monitoring method described above.

[0046] Example 5 This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the tire travel monitoring method described above.

[0047] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for monitoring tire travel, characterized in that, include: Obtain tire temperature data; The tire temperature data is preprocessed to obtain preprocessed tire temperature data; The travel distance is divided based on the pre-processed tire temperature data; The tire performance under different travel distances is monitored based on the divided travel distances. The preprocessed tire temperature data obtained is for the entire tracking cycle, which includes several heating and cooling processes, i.e., several strokes. The specific division logic is as follows: Based on the preprocessed tire temperature data throughout the entire tracking period, all temperature peaks of the target tire within this period are selected; further, peak values ​​are discarded based on the data length between any two peaks. when When the two peak values ​​are combined, only the peak value with the higher tire temperature data is retained. At that time, two peak values ​​are retained; based on the temperature peak values, the temperature gradient is calculated forward along the time series. The formula for calculating the temperature gradient is: Among them, using Represents the frequency of temperature changes, when Calculations should be stopped when the magnitude becomes stable or when the time points are discontinuous. This represents the change in temperature, indicating the numerical increase or decrease in tire temperature over a given time interval. t represents the change in time, indicating the corresponding time interval selected when calculating the temperature gradient. Additionally, the following formula is used to determine whether the stop calculation point is the start of the journey: Where, x 停 The value of temperature at which gradient calculation stops, x 室 This indicates the ambient temperature at this time. When the temperature at which the gradient calculation stops differs from the ambient temperature by no more than 10%, it is considered to be close to the ambient temperature, and the temperature at the point where the gradient calculation stops is regarded as the starting point of the journey. When the temperature at which the calculation stops differs from the ambient temperature by more than 10%, the following criteria shall apply: when At this point, the gradient is calculated forward to determine the starting point of the journey; when When the temperature reaches the stop point, the calculation stops, and the temperature at the stop point is taken as the starting point of the journey. Based on the temperature peak, the temperature gradient is calculated along the time series to determine the end point of the journey. The method for determining the end point of the journey is the same as the method for determining the starting point.

2. The tire travel monitoring method as described in claim 1, characterized in that, The tire temperature data is preprocessed as follows: when the number of missing data points for a single sensor is less than or equal to 3 consecutive points, it is assumed that... x n , x n+1 , x n+2 For the missing temperature information, the corresponding time point is: t n , t n+1 , t n+2 Therefore, the formula for calculating missing point information is: 。 3. The tire travel monitoring method as described in claim 2, characterized in that, When a single sensor has more than 4 consecutive missing data points, it is judged as a sensor malfunction. Data from the same sensor in the same wheel position and at the same time is selected to replace the missing consecutive data points. If multiple sensors have more than 4 consecutive missing data points at the same time, then that data segment is removed.

4. The tire travel monitoring method as described in claim 1, characterized in that, The stroke division refers to defining a complete temperature rise and fall process as an independent stroke for the tire.

5. The tire travel monitoring method as described in claim 1, characterized in that, Tire pressure, speed, load, and altitude information are divided according to the starting and ending points of the divided travel routes; tire performance is monitored under different travel routes based on the divided travel routes.

6. The tire travel monitoring method as described in claim 5, characterized in that, The tire's performance under different travel distances includes air tightness, specifically: Based on the tire pressure data for the defined travel distances, the pressure loss after each travel distance is calculated to measure the tire's air tightness. The calculation method is as follows: in, and This represents the cold pressure and the corresponding temperature. and This represents the temperature and pressure at the end of the nth stroke.

7. A tire travel monitoring system, employing a tire travel monitoring method as described in any one of claims 1-6, characterized in that, include: The data acquisition module is configured to acquire tire temperature data. The preprocessing module is configured to preprocess the tire temperature data to obtain preprocessed tire temperature data. The stroke division module is configured to divide the stroke according to the preprocessed tire temperature data; The performance monitoring module is configured to monitor the tire's performance at different travel distances based on the divided travel distances.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps in a tire travel monitoring method as described in any one of claims 1-6.

9. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps in a tire travel monitoring method as described in any one of claims 1-6.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the tire travel monitoring method as described in any one of claims 1-6.

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