Tire tread wear monitoring method, monitoring system, monitoring equipment and readable storage medium

Abstract

The invention relates to a tire tread wear monitoring method, a monitoring system, monitoring equipment and a readable storage medium. The tire tread wear monitoring method comprises the following steps: S1, acquiring tire running data under a constant-speed working condition, including rotating speed, tire pressure, temperature and load, and calculating the rolling radius of a tire; s2, based on the tire pressure, the temperature and the load, correcting the rolling radius to obtain a real-time rolling radius; and S3, calculating the tread wear rate of the tire based on the real-time rolling radius and the relationship among the peak value of the nearest rolling radius curve and the minimum allowable rolling radius of the tire. According to the invention, high-precision monitoring of the wear state of the tire tread can be realized.

Description

Technical Field

[0001] This invention relates to the field of vehicle tire condition monitoring technology, and in particular to a tire tread wear monitoring method, monitoring system, monitoring equipment, and readable storage medium. Background Technology

[0002] Tire tread wear monitoring technology is a method that assesses the degree of tread wear by collecting real-time tire operating data and analyzing changes in its rolling radius. Existing technologies (such as patent WO2025001449A1) use a calculation method based on the rolling radius to estimate tire wear status. However, this method has the following limitations in practical applications: First, the initial value of the rolling radius depends on manual input or pre-stored parameters. After a new tire is installed, relevant parameters need to be manually set, a process prone to calculation errors due to human input mistakes. Second, under complex operating conditions, dynamic factors such as temperature, pressure, and load are not fully considered, and there is a lack of effective compensation mechanisms, thus affecting the accuracy of the rolling radius calculation. Furthermore, the mapping relationship between the legally mandated minimum wear thickness (e.g., the national standard minimum of 1.6mm) and the actual tire wear is not fully utilized, resulting in inaccurate calibration of the wear threshold and difficulty in accurately reflecting the actual usage condition of the tire.

[0003] Current technical solutions sometimes attempt to improve monitoring accuracy through multiple corrections and repeated calibrations. However, these methods are often cumbersome and still have limitations in the accuracy of calibration results. Therefore, how to achieve more accurate rolling radius compensation under dynamic operating conditions and establish a more comprehensive wear threshold calibration mechanism has become a critical issue that urgently needs to be addressed. Summary of the Invention

[0004] To address the aforementioned problems in the prior art, this invention proposes a tire tread wear monitoring method, monitoring system, monitoring equipment, and readable storage medium, which can achieve high-precision monitoring of tire tread wear status.

[0005] Specifically, this invention proposes a method for monitoring tire tread wear, comprising the following steps:

[0006] S1, Under constant speed conditions, collect tire operating data, including rotational speed, tire pressure, temperature and load, and calculate the rolling radius of the tire;

[0007] S2, Based on the tire pressure, temperature, and load, the rolling radius is corrected to obtain the real-time rolling radius;

[0008] S3. Based on the real-time rolling radius, the relationship between the peak value of the tire's most recent rolling radius curve and the minimum allowable rolling radius, calculate the tire's tread wear rate.

[0009] According to one embodiment of the present invention, after the tire is initially installed, the real-time rolling radius obtained by performing steps S1 and S2 is the peak value of the tire's most recent rolling radius curve.

[0010] According to an embodiment of the present invention, the calculation process of the minimum permissible rolling radius includes the following steps:

[0011] The maximum change in rolling radius is calculated based on the relationship between the change in tire tread depth and the change in rolling radius.

[0012] The minimum permissible rolling radius of the tire is calculated based on the maximum rolling radius change and the peak value of the most recent rolling radius curve.

[0013] According to an embodiment of the present invention, in step S2, the rolling radius is corrected. Get real-time scroll radius The calculation formula is:

[0014]

[0015] in, The temperature compensation coefficient is calculated using the following formula:

[0016] ;

[0017] The tire pressure compensation factor is calculated using the following formula:

[0018] ;

[0019] The load compensation factor is calculated using the following formula:

[0020] .

[0021] According to one embodiment of the present invention, the tread wear rate The calculation formula is:

[0022] ;

[0023] in, For real-time scrolling radius, The most recent peak value of the rolling radius curve. This is the minimum allowable rolling radius.

[0024] According to one embodiment of the present invention, in step S3, after calculating the tread wear rate, a reliability assessment is performed. The formula for calculating the reliability based on the vehicle's cumulative mileage is as follows:

[0025] ;

[0026] in, This is an input parameter, referring to the vehicle's cumulative mileage, in ten thousand kilometers.

[0027] The confidence interval for the wear rate is calculated based on the aforementioned confidence level. The formula for calculating the confidence interval is as follows:

[0028] , ;

[0029] The original tread wear rate calculated in step S3. The error range for wear rate, in percentage (%).

[0030] According to an embodiment of the present invention, in step S1, the tire running data is optimized to remove outliers. The optimization process includes using the Tukey method and the sliding standard deviation ±3σ filtering method.

[0031] The present invention also provides a tire tread wear monitoring system for implementing the aforementioned tire tread wear monitoring method, the tire tread wear monitoring system comprising:

[0032] The acquisition unit is used to collect tire operating data under constant speed conditions, including speed, tire pressure, temperature and load;

[0033] The first calculation unit is used to calculate the rolling radius of the tire based on the running data;

[0034] The correction compensation unit is used to correct the rolling radius based on the tire pressure, temperature and load to obtain the real-time rolling radius;

[0035] Storage unit for storing the most recent peak value of the scroll radius curve and the minimum allowable scroll radius;

[0036] The second calculation unit is used to calculate the tread wear rate of the tire based on the real-time rolling radius, the relationship between the peak value of the most recent rolling radius curve of the tire and the minimum allowable rolling radius.

[0037] The present invention also provides a tire tread wear monitoring device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any of the aforementioned tire tread wear monitoring methods.

[0038] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the tire tread wear monitoring method described in any of the preceding claims.

[0039] The present invention provides a tire tread wear monitoring method, monitoring system, monitoring equipment and readable storage medium, which can realize high-precision monitoring of tire tread wear status.

[0040] It should be understood that the above general description and the following detailed description of the present invention are exemplary and illustrative, and are intended to provide further explanation of the present invention. Attached Figure Description

[0041] The accompanying drawings are included to provide further explanation of the invention; they are incorporated into and constitute a part of this application. The drawings illustrate embodiments of the invention and, together with this specification, serve to explain the principles of the invention. In the drawings:

[0042] Figure 1 A flowchart of a tire tread wear monitoring method according to an embodiment of the present invention is shown.

[0043] Figure 2 A schematic diagram of a tire tread wear monitoring system according to an embodiment of the present invention is shown.

[0044] Figure 3 A system block diagram of a tire tread wear monitoring device according to an embodiment of the present invention is shown. Detailed Implementation

[0045] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0046] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this application or its application or use. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0047] 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 exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. 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.

[0048] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of this application. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale. Techniques, methods, and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considered part of the specification. In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters in the following drawings denote similar items; therefore, once an item is defined in one drawing, it need not be further discussed in subsequent drawings.

[0049] In the description of this application, it should be understood that the orientation or positional relationship indicated by directional terms such as "front, back, up, down, left, right", "horizontal, vertical, horizontal" and "top, bottom" is usually based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing this application and simplifying the description. Unless otherwise stated, these directional terms do not indicate or imply that the device or element referred to must have a specific orientation or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on the scope of protection of this application; the directional terms "inner" and "outer" refer to the inner and outer contours relative to the outline of each component itself.

[0050] Furthermore, it should be noted that the use of terms such as "first" and "second" to define components is merely for the purpose of distinguishing the corresponding components. Unless otherwise stated, these terms have no special meaning and therefore should not be construed as limiting the scope of protection of this application. In addition, although the terminology used in this application is selected from commonly known and used terms, some terms mentioned in this application's specification may have been chosen by the applicant according to his or her judgment, and their detailed meanings are explained in the relevant sections of this description. Moreover, this application should be understood not only through the actual terms used, but also through the meaning implied by each term.

[0051] Figure 1 A flowchart of a tire tread wear monitoring method according to an embodiment of the present invention is shown. As shown, a tire tread wear monitoring method includes the following steps:

[0052] S1 collects tire operating data under constant speed conditions, eliminating measurement deviations caused by inertial forces during acceleration or deceleration. Tire operating data includes speed, tire pressure, temperature, and load. The tire's rolling radius is calculated using kinematic relationships, providing fundamental parameters for subsequent wear monitoring. Based on the kinematic relationship "Vehicle speed = Tire angular velocity × Rolling radius," the formula for calculating the tire rolling radius R is obtained:

[0053] ; For vehicle speed, This refers to the tire angular velocity (which can be obtained by converting the tire speed).

[0054] S2, considering the nonlinear influence of environmental factors such as temperature, tire pressure, and load on the tire rolling radius, based on the piecewise compensation model, temperature compensation coefficient, tire pressure compensation coefficient, and load compensation coefficient are introduced to quantify the degree of influence under different environmental conditions, and the rolling radius calculated in step S1 is dynamically corrected to obtain a real-time rolling radius that is more in line with the actual working state of the tire.

[0055] S3. Based on the real-time rolling radius, the relationship between the peak value of the tire's most recent rolling radius curve and the minimum permissible rolling radius, calculate the tire's tread wear rate. The peak value of the tire's most recent rolling radius curve is the original reference value of the tire's rolling radius obtained after the initial installation of a new tire, following the data acquisition process in step S1 and the correction process in step S2. The minimum permissible rolling radius is calculated based on the safety threshold of tire tread depth (such as the legal minimum tread depth), combined with the mapping relationship between tread depth changes and rolling radius changes. Based on the relationship between the real-time rolling radius and the peak value of the tire's most recent rolling radius curve and the minimum permissible rolling radius, the tire's tread wear rate is calculated to quantify the degree of wear.

[0056] In some examples, after initial tire installation, the real-time rolling radius obtained through steps S1 and S2 is the peak value of the tire's most recent rolling radius curve. By automatically acquiring data in step S1 and standardizing and correcting it in step S2, the traditional method of manually inputting tire parameters is replaced, avoiding human error and ensuring that the peak value of the most recent rolling radius curve is consistent with the calculation logic of the real-time rolling radius in subsequent daily monitoring. This peak value of the most recent rolling radius curve is saved, providing a reliable reference benchmark for the subsequent calculation and derivation of the minimum permissible rolling radius and the accurate calculation of tread wear rate.

[0057] In some examples, the calculation process for the minimum allowable rolling radius includes the following steps:

[0058] Based on tire engineering principles, and considering the variation in tire tread depth... With the change in rolling radius Quantitative relationship between them:

[0059] ;

[0060] Calculate the maximum rolling radius change. New tire tread depth is typically 8mm, while the national legal minimum safe tread depth is 1.6mm. =8 mm−1.6 mm=6.4 mm=0.0064 m, which represents the tread wear limit of a tire from "new tire" to "must be replaced". This is the tire structure coefficient, with a value of 1.03. Its function is to compensate for the non-linear relationship between the tread pattern and the rolling radius. Maximum rolling radius variation. .

[0061] The minimum permissible rolling radius of the tire is calculated based on the maximum rolling radius change and the peak value of the most recent rolling radius curve, using the following formula:

[0062] ; To be the minimum allowable rolling radius, This represents the peak value of the most recent rolling radius curve.

[0063] In some examples, in step S2, the base scroll radius is obtained. Subsequently, since environmental factors such as temperature, tire pressure, and load can have a nonlinear effect on the tire rolling radius, a piecewise compensation model needs to be introduced to dynamically correct it in order to obtain a real-time rolling radius that conforms to the actual working state of the tire. The calculation formula is as follows:

[0064]

[0065] in, It is divided into temperature compensation coefficient, tire pressure compensation coefficient, and load compensation coefficient. Since the influence of different environmental factors varies in different ranges, they are all calculated in a segmented manner.

[0066] When the temperature change is less than or equal to 40 degrees Celsius, a combination formula of linear and quadratic terms is used for temperature compensation; when the temperature change is greater than 40 degrees Celsius, a higher-order compensation formula containing exponential growth terms is used; temperature compensation coefficient. The calculation formula is:

[0067] ;

[0068] When the tire pressure change is less than or equal to 1.0 bar, linear proportional compensation is used; when the tire pressure change is greater than 1.0 bar, an incremental compensation formula containing a quadratic term is used; tire pressure compensation coefficient. The calculation formula is:

[0069] ;

[0070] When the load change is less than or equal to 200 kg, a low-slope linear compensation is used; when the load change is greater than 200 kg, a strong compensation formula containing quadratic terms is activated; load compensation coefficient. The calculation formula is:

[0071] .

[0072] The above-mentioned segmented compensation can accurately eliminate the interference of environmental factors on the rolling radius, providing reliable basic parameters for subsequent tread wear rate calculation.

[0073] In some examples, tread wear rate The calculation formula is:

[0074] ;

[0075] in, For real-time scrolling radius, The most recent peak value of the rolling radius curve. This is the minimum allowable scroll radius. The calculation formula quantifies the real-time scroll radius. To the peak of the most recent rolling radius curve The relationship between the rolling radius and tread wear directly reflects the degree of tire tread wear, and its core is based on the correlation between the change in rolling radius and tread wear. In the formula, the numerator ( The denominator () represents the decrease in the rolling radius of the tire due to wear from its initial state to its current state. This represents the maximum allowable reduction in rolling radius of a tire from a new tire condition to when it wears down to its safe limit. Multiplying this ratio by 100% converts the wear level into a percentage wear rate. Its value directly reflects the proportion of the tire's current wear condition relative to its safe limit. For example, =50% means the tire has worn down to half of its safe limit. A value of 100% indicates that the wear has reached the legal safety threshold and the tire must be replaced immediately. This formula, through a unified geometric parameter correlation, avoids the limitations of traditional wear monitoring that relies on subjective observation or single-dimensional data. It ensures that the quantitative results of wear are closely related to the actual physical condition of the tire and directly aligned with safety standards, providing users with a clear and actionable basis for tire replacement.

[0076] In some examples, after calculating the tread wear rate in step S3, a confidence assessment is performed. The formula for calculating the confidence based on the vehicle's cumulative mileage is as follows:

[0077] ;

[0078] in, The input parameter refers to the vehicle's cumulative mileage, in ten thousand kilometers. This formula is based on logistic regression (S-curve), demonstrating that the longer the mileage and the more comprehensive the collected driving data, the higher the reliability of the wear rate calculation. At 10,000 kilometers, The credibility is 50%, and the data accumulation has reached the qualified level; when At 10,000 kilometers, Short mileage, limited data, low reliability; when At 10,000 kilometers, With long mileage and abundant data, the reliability gradually approaches 1 as the mileage increases.

[0079] The confidence interval for wear rate is calculated based on the confidence level. The formula for calculating the confidence interval is:

[0080] , ;

[0081] The original tread wear rate calculated in step S3. The error range for wear rate, in %. The higher the confidence level (...), the more likely it is to be an error range for wear rate. The closer to 1), the greater the error range. The smaller the value, the narrower the fluctuation range of the original wear rate and the more reliable the result; conversely, a larger value indicates a larger error range when the reliability is low, and the wear rate result should be treated with caution. The value of this design lies in the fact that it not only outputs the "numerical value" of the tread wear rate, but also quantifies the reliability of the result through "reliability + confidence interval", helping users to judge the condition of the tire (such as whether it needs to be replaced) and avoid misjudgments caused by insufficient data accumulation.

[0082] For example, the vehicle's cumulative mileage Real-time rolling radius at 10,000 kilometers =0.2967m. Wear rate calculation, inputting the peak value of the most recent rolling radius curve. =0.3002m, minimum allowable rolling radius =0.2936m, therefore =52.3%. (Using the formula) Calculations yielded (Confidence level 68%). Error range of wear rate. Final wear rate .

[0083] In some examples, step S1 involves optimizing tire running data to remove outliers. This optimization includes: for running data such as vehicle speed and angular velocity, which typically exhibit an approximately normal or symmetrical distribution, the Tukey method (IQR = 1.5) is used. First, the data is sorted from smallest to largest. The first quartile Q1 (the values ​​in the first 25% of the data after sorting from smallest to largest) and the third quartile Q3 (the values ​​in the first 75% of the data after sorting from smallest to largest) are calculated. Then, the outlier range is defined using the interquartile range IQR = Q3 - Q1 (lower limit = Q1 - 1.5 × IQR, upper limit = Q3 + 1.5 × IQR). Data points exceeding these upper and lower limits are considered outliers and removed.

[0084] For example, given a dataset: vehicle speed data is [50,52,55,58,60,62,100] (unit: km / h).

[0085] Calculate the quartiles: Q1 (first quartile): the value in the first 25% of the data after sorting from smallest to largest, here Q1=52; Q3 (third quartile): the value in the first 75% of the data after sorting from smallest to largest, here Q3=60.

[0086] Calculate the interquartile range (IQR): IQR = Q3 − Q1 = 60 − 52 = 8.

[0087] Define the range of outliers:

[0088] Lower limit: Q1−1.5×IQR=52−1.5×8=40;

[0089] Upper limit: Q3+1.5×IQR=60+1.5×8=72.

[0090] Identifying and removing outliers: The speed of 100km / h in the dataset exceeds the upper limit of 72, and is therefore identified as an outlier and needs to be removed from the dataset. The Tukey method uses quartiles to define a normal range (lower limit to upper limit), and identifies data outside the range as outliers, thereby achieving data cleaning and optimization.

[0091] For operational data such as temperature, tire pressure, and load, which may change slowly over time, the sliding standard deviation ±3σ filtering method is used. This method calculates the mean and standard deviation using a dynamic window, identifying and removing outliers within the range of mean ±3σ. Data like temperature, tire pressure, and load typically change slowly over time. The sliding standard deviation method detects local anomalies through a dynamic window (a continuously updated segment of recent data), adapting to the slow trend of data change and making it suitable for handling such scenarios. Using the "normal fluctuation range (mean ±3σ)" of recent data as a benchmark, points of significant deviation are identified, implemented in four steps:

[0092] Define a sliding window: Select a window size N (e.g., the most recent 100 data points). The window focuses on "recent data" so that statistics (mean, standard deviation) reflect normal fluctuations in the current period.

[0093] Calculations within the window: Mean (μ) and Standard Deviation (σ)

[0094] mean : Inside the window The average of the data points is calculated using the following formula:

[0095] ;

[0096] Standard deviation The degree of dispersion of data within a window relative to the mean is expressed by the formula:

[0097] .

[0098] Define outlier ranges (upper and lower limits) based on the 3σ principle of normal distribution, defining the boundaries: lower limit: μ−3σ; upper limit: μ+3σ. Real-time filtering (window update + outlier detection): When a new data point arrives, update the sliding window and then check if the new point is within the "lower and upper limits".

[0099] If a new point exceeds the range, it is judged as an "outlier" and is removed or marked.

[0100] If the new point is within the range, it is judged as "normal data" and retained for subsequent calculations.

[0101] In short, this method, through the "dynamic window + 3σ principle," not only adapts to the "slow changes" of data such as temperature and tire pressure, but also rigorously identifies points of significant anomalies, providing more reliable input for subsequent operations.

[0102] For example, given a temperature data stream (unit: °C): 25, 26, 24, 23, 28, **50**, 25, and a sliding window size N = 5 (i.e., analyzing the most recent 5 data points each time). Taking the "first 5 data points" as the initial window 1, the data is: 25, 26, 24, 23, 28. Calculate... 25.2, 1.9. Based on the 3σ principle of normal distribution, the upper and lower limits are calculated to be 19.5 and 30.9. The newly arrived data is 50℃, which significantly exceeds the upper limit of 30.9, and is therefore judged as an outlier and needs to be removed.

[0103] Preferably, step S1, the optimization processing of tire operating data also includes the use of Exponentially Weighted Moving Average (EWMA) for mean calculation. For example, vehicle speed / temperature data can fluctuate rapidly or change trends over time. EWMA, through its mechanism of "higher weighting for recent data," can capture data trend changes faster than a regular moving average, avoiding being "slowed down" by historical data.

[0104] The present invention also provides a tire tread wear monitoring system for implementing the aforementioned tire tread wear monitoring method. Figure 2 A schematic diagram of a tire tread wear monitoring system according to an embodiment of the present invention is shown. As shown, the tire tread wear monitoring system 200 includes:

[0105] The acquisition unit 201 is used to collect tire operating data under constant speed conditions, including speed, tire pressure, temperature and load;

[0106] The first calculation unit 202 is used to calculate the rolling radius of the tire based on the running data;

[0107] The correction compensation unit 203 is used to correct the rolling radius based on tire pressure, temperature and load to obtain the real-time rolling radius;

[0108] Storage unit 204 is used to store the most recent peak value of the scroll radius curve and the minimum allowable scroll radius;

[0109] The second calculation unit 205 is used to calculate the tire tread wear rate based on the real-time rolling radius, the relationship between the peak value of the tire's most recent rolling radius curve and the minimum allowable rolling radius.

[0110] Figure 3A system block diagram of a tire tread wear monitoring device according to an embodiment of the present invention is shown. As shown, the monitoring device 300 may include an internal communication bus 301, a processor 302, a read-only memory (ROM) 303, a random access memory (RAM) 304, and a communication port 305. When applied to a personal computer, the monitoring device 300 may also include a hard disk 306. The internal communication bus 301 enables data communication between the components of the monitoring device 300. The processor 302 can make judgments and issue prompts. In some embodiments, the processor 302 may consist of one or more processors. The communication port 305 enables data communication between the monitoring device 300 and external devices. In some embodiments, the monitoring device 300 can send and receive information and data from a network through the communication port 305. The monitoring device 300 may also include different forms of program storage units and data storage units, such as the hard disk 306, the read-only memory (ROM) 303, and the random access memory (RAM) 304, capable of storing various data files used for computer processing and / or communication, as well as possible program instructions executed by the processor 302. Processor 302 executes these instructions to implement the main part of the method. The results processed by processor 302 are transmitted to the user equipment via communication port 305 and displayed on the user interface.

[0111] The above-described tire tread wear monitoring method can be implemented as a computer program, stored in hard disk 306, and loaded into processor 302 for execution to implement the tire tread wear monitoring method of this application.

[0112] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the aforementioned tire tread wear monitoring methods.

[0113] The specific implementation methods and technical effects of the tire tread wear monitoring equipment and computer-readable storage medium can be found in the embodiments of the tire tread wear monitoring method provided by the present invention, and will not be repeated here.

[0114] This invention provides a tire tread wear monitoring method, monitoring system, monitoring equipment, and readable storage medium. It constructs a complete technical system through dynamic rolling radius calibration, maximum wear thickness difference correction, multi-variable dynamic compensation, multi-factor segmented compensation, and speed-related wear rate calculation. Combined with a tire operation data optimization processing mechanism and a reliable quantitative evaluation model, it achieves high-precision, adaptive, and mileage-independent real-time monitoring of tire tread wear status. No manual intervention is required for initial parameter input; it automatically completes environmental condition compensation and data quality assurance, ultimately outputting a wear rate value with a confidence interval, providing a reliable early warning basis for vehicle safe operation.

[0115] Those skilled in the art will further appreciate that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented as electronic hardware, computer software, or a combination of both. To clearly illustrate this interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps are described above in a generalized manner in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art may implement the described functionality in different ways for each specific application, but such implementation decisions should not be construed as departing from the scope of the invention.

[0116] The various illustrative logic modules and circuits described in conjunction with the embodiments disclosed herein may be implemented or performed using a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. The general-purpose processor may be a microprocessor, but in alternatives, it may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors cooperating with a DSP core, or any other such configuration.

[0117] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of both. The software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor such that the processor can read and write information to / from the storage medium. In an alternative, the storage medium may be integrated into the processor. The processor and storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In an alternative, the processor and storage medium may reside as discrete components in the user terminal.

[0118] In one or more exemplary embodiments, the described functionality may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functionality may be stored or transmitted as one or more instructions or code on or through a computer-readable medium. A computer-readable medium includes both computer storage media and communication media, encompassing any medium that facilitates the transfer of a computer program from one location to another. A storage medium may be any available medium accessible to a computer. By way of example and not limitation, such a computer-readable medium may include RAM, ROM, EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and is accessible to a computer. Any connection is also legitimately referred to as a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of a medium. As used in this article, disk and disc include compact discs (CDs), laser discs, optical discs, digital multi-purpose discs (DVDs), floppy disks, and Blu-ray discs. Disks typically reproduce data magnetically, while discs reproduce data optically using lasers. Combinations of these should also be included within the scope of computer-readable media.

[0119] It will be apparent to those skilled in the art that various modifications and variations can be made to the exemplary embodiments described above without departing from the spirit and scope of the invention. Therefore, it is intended that this invention cover modifications and variations falling within the scope of the appended claims and their equivalents.

Claims

1. A tire tread wear monitoring method, comprising steps of: S1, collecting tire running data including speed, tire pressure, temperature and load under uniform speed working condition, and calculating rolling radius of the tire; S2, correcting the rolling radius based on the tire pressure, temperature and load to obtain real-time rolling radius; S3, calculating tire tread wear rate based on the real-time rolling radius, relationship between latest rolling radius curve peak value of the tire and minimum allowable rolling radius.

2. The tire tread wear monitoring method of claim 1, wherein, The real-time rolling radius obtained by performing steps S1 and S2 after initial installation of the tire is the latest rolling radius curve peak value of the tire.

3. The tire tread wear monitoring method of claim 1, wherein, The calculation process of the minimum allowable rolling radius comprises steps of: calculating maximum rolling radius variation based on relationship between tread depth variation and rolling radius variation of the tire; calculating the minimum allowable rolling radius of the tire based on the maximum rolling radius variation and the latest rolling radius curve peak value.

4. The tire tread wear monitoring method of claim 1 wherein, At step S2, the rolling radius is corrected The real-time rolling radius is obtained The calculation formula is: wherein is a temperature compensation coefficient, and the calculation formula is: ； is the tire pressure compensation coefficient, and the calculation formula is: ； is the load compensation coefficient, and the calculation formula is: 。 5. The tire tread wear monitoring method of claim 1 wherein, The tread wear rate The formula for calculating the tread wear rate is: ； wherein, is the real-time rolling radius, is the most recent rolling radius curve peak, is the minimum allowed rolling radius.

6. The tire tread wear monitoring method of claim 1 wherein, After calculating the tread wear rate in step S3, credibility assessment is performed, and the formula for calculating credibility based on cumulative mileage of the vehicle is: ； wherein, is an input parameter, indicating the cumulative mileage of the vehicle, in units of ten thousand kilometers; calculating confidence interval of the wear rate based on the credibility, and the calculation formula of the confidence interval is: ， ； is the raw tread wear rate calculated in step S3, is the error range of the wear rate, unit: %.

7. The tire tread wear monitoring method of claim 1 wherein, In step S1, the tire running data is optimized to eliminate outliers, and the optimization process comprises using Tukey method and sliding standard deviation ± 3σ filtering method.

8. A tire tread wear monitoring system for implementing the tire tread wear monitoring method according to any one of claims 1 to 7, characterized by, The tire tread wear monitoring system comprises: an acquisition unit configured to collect tire running data including speed, tire pressure, temperature and load under uniform speed working condition; a first calculation unit configured to calculate rolling radius of the tire based on the running data; a correction compensation unit configured to correct the rolling radius based on the tire pressure, temperature and load to obtain real-time rolling radius; a storage unit configured to store the latest rolling radius curve peak value and the minimum allowable rolling radius; a second calculation unit configured to calculate tire tread wear rate based on the real-time rolling radius, relationship between the latest rolling radius curve peak value of the tire and the minimum allowable rolling radius.

9. A tire tread wear monitoring device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, The processor implements steps of the tire tread wear monitoring method according to any one of claims 1-7 when executing the computer program.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by the processor, implements steps of the tire tread wear monitoring method according to any one of claims 1-7.

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