Vehicle tire leakage detection method, device, computer equipment, and storage medium

Abstract

The present application relates to a vehicle tire leakage detection method, device, computer equipment, and storage medium. The method includes: obtaining a tire pressure data set of the tire at the position to be tested within the current start-stop time period of the vehicle. Determining whether to clear the cumulative tire pressure data set corresponding to the tire at the position to be tested. When the total amount of tire pressure data in the cumulative tire pressure data set is greater than a first preset number, determining a first actual tire pressure change rate of the tire at the position to be tested based on a first preset number of tire pressure data in the cumulative tire pressure data set sorted from near to far by timestamp. When the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the position to be tested is leaking. Using the method of the present application, it is possible to determine whether a tire is leaking based on a large amount of cumulative tire pressure data of the tire, and the state and working conditions of the tire are taken into consideration when making the judgment, thereby achieving an accurate judgment of tire leakage.

Description

Technical Field

[0001] The present application relates to the technical field of tire pressure monitoring, and in particular to a vehicle tire leakage detection method, device, computer equipment, and storage medium. Background Art

[0002] With the advancement of vehicle technology and the increasing demand for driving comfort and safety, tire pressure monitoring technology has emerged. By monitoring tire pressure, tire anomalies can be detected promptly. Operating a vehicle with abnormal tires can increase energy consumption and pose the risk of blowouts. Therefore, tire pressure monitoring plays a vital role in improving vehicle safety and fuel economy.

[0003] In traditional technology, tire pressure is monitored by installing tire pressure sensors on the tires.

[0004] However, using traditional technology can only issue an alarm to remind users when the tire pressure reaches a certain threshold, and cannot accurately identify whether the tire is leaking. Summary of the Invention

[0005] Based on this, it is necessary to provide a vehicle tire leakage detection method, device, computer equipment, and storage medium that can accurately identify whether a tire is leaking in order to address the above technical problems.

[0006] A vehicle tire leakage detection method, comprising:

[0007] Obtaining a tire pressure dataset of a tire at a position to be tested within a current start-stop time period of the vehicle, wherein the tire pressure dataset includes a plurality of tire pressure data sorted by timestamp;

[0008] determining whether to clear a cumulative tire pressure dataset corresponding to the tire at the position to be measured based on the tire pressure dataset in the current start-stop time period and the tire pressure dataset in the previous start-stop time period, wherein the cumulative tire pressure dataset includes tire pressure datasets in each start-stop time period of the tire at the position to be measured;

[0009] When the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset number, determining a first actual tire pressure change rate of the tire at the position to be measured based on the first preset number of tire pressure data in the accumulated tire pressure data set sorted from most recent to most recent timestamps;

[0010] When the first actual tire pressure change rate is greater than a standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the to-be-tested position is leaking.

[0011] In one embodiment, the step of obtaining a tire pressure dataset of a tire at a position to be tested during a current start-stop time period of the vehicle includes:

[0012] Obtain multiple original tire pressure data of the tire at the position to be tested during the current start-stop time period;

[0013] screening tire pressure data that meets a preset condition from the plurality of original tire pressure data;

[0014] The tire pressure data satisfying the preset conditions and the set of corresponding timestamps are used as the tire pressure data set.

[0015] In one embodiment, the step of determining whether to clear the accumulated tire pressure dataset corresponding to the tire at the position to be measured based on the tire pressure dataset in the current start-stop time period and the tire pressure dataset in the previous start-stop time period includes:

[0016] determining a change in average tire pressure based on the tire pressure data set within the current start-stop time period and the tire pressure data set within the previous start-stop time period;

[0017] determining whether the tire at the position to be tested has been replaced or inflated based on the change in the average tire pressure;

[0018] If it is determined that the tire at the position to be measured is replaced or inflated, the accumulated tire pressure data set corresponding to the tire at the position to be measured is cleared.

[0019] In one embodiment, the step of determining the change in average tire pressure based on the tire pressure data set in the current start-stop time period and the tire pressure data set in the previous start-stop time period includes:

[0020] determining an average tire pressure value within the current start-stop time period based on the tire pressure data set within the current start-stop time period;

[0021] determining an average tire pressure value within the last start-stop time period based on the tire pressure data set within the last start-stop time period;

[0022] The change in the average tire pressure is determined based on the average tire pressure in the current start-stop time period and the average tire pressure in the previous start-stop time period.

[0023] In one embodiment, when the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset number, the step of determining a first actual tire pressure change rate of the tire at the to-be-tested position based on the first preset number of tire pressure data in the accumulated tire pressure data set sorted from nearest to furthest by timestamp includes:

[0024] When the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset number, selecting a first preset number of tire pressure data from the accumulated tire pressure data set according to the timestamps from recent to far as a first tire pressure sample set;

[0025] performing a linear fitting process on the first tire pressure sample set to obtain a first tire pressure change equation;

[0026] A first actual tire pressure change rate of the tire at the position to be measured is determined according to the slope of the first tire pressure change equation.

[0027] In one embodiment, when the first actual tire pressure change rate is greater than a standard tire pressure change rate corresponding to the first preset number, the step of determining that the tire at the test location is leaking includes:

[0028] determining a first operating condition of the tire at the position to be tested according to the first preset number;

[0029] determining, based on the tire pressure big data matching the first operating condition, a standard tire pressure change rate corresponding to the first preset number, wherein the standard tire pressure change rate corresponding to the first preset number is a normal tire pressure change rate of the tire at the test position under the first operating condition and without leakage;

[0030] When the first actual tire pressure change rate is greater than a standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the to-be-tested position is leaking.

[0031] In one embodiment, the vehicle tire leakage detection method further includes:

[0032] If it is determined that the tire at the to-be-tested location is not leaking based on the first actual tire pressure change rate and the standard tire pressure change rate corresponding to the first preset number, then, when the total amount of tire pressure data in the accumulated tire pressure data set is greater than a second preset number, determining a second actual tire pressure change rate of the tire at the to-be-tested location based on a second preset number of tire pressure data in the accumulated tire pressure data set that are sorted from most recent to most distant timestamps, wherein the second preset number is greater than the first preset number;

[0033] Whether the tire at the position to be tested is leaking is determined according to the second actual tire pressure change rate and a standard tire pressure change rate corresponding to the second preset number.

[0034] A vehicle tire leakage detection device, comprising:

[0035] a data acquisition module, configured to acquire a tire pressure data set of a tire at a position to be tested during a current start-stop time period of the vehicle, wherein the tire pressure data set includes a plurality of tire pressure data sorted by timestamp;

[0036] a reset module, configured to determine whether to clear a cumulative tire pressure dataset corresponding to the tire at the position to be tested based on the tire pressure dataset in the current start-stop time period and the tire pressure dataset in the previous start-stop time period, wherein the cumulative tire pressure dataset includes the tire pressure datasets in each start-stop time period of the tire at the position to be tested;

[0037] a change rate determining module, configured to determine, when a total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset amount, a first actual tire pressure change rate of the tire at the position to be measured based on a first preset number of tire pressure data in the accumulated tire pressure data set sorted from most recent to most recent timestamp;

[0038] The air leakage determination module is used to determine that the tire at the test position is leaking when the first actual tire pressure change rate is greater than a standard tire pressure change rate corresponding to the first preset number.

[0039] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the aforementioned vehicle tire leakage detection method when executing the computer program.

[0040] A computer-readable storage medium stores a computer program, which implements the aforementioned vehicle tire leakage detection method when executed by a processor.

[0041] The above-mentioned vehicle tire leakage detection method, device, computer equipment, and storage medium. This vehicle tire leakage detection method first obtains a tire pressure dataset of the tire at the test location during the vehicle's current start-stop time period, thereby obtaining the latest tire pressure data for the tire at the test location. Then, based on the tire pressure dataset during the current start-stop time period and the tire pressure dataset during the previous start-stop time period, it can be determined whether the status of the tire at the test location of the vehicle has changed. If it has changed, the currently recorded cumulative tire pressure dataset corresponding to the tire at the test location is inaccurate and needs to be re-recorded. Therefore, the cumulative tire pressure dataset corresponding to the tire at the test location is cleared. If the tire status has not changed, there is no need to clear the cumulative dataset, thereby ensuring the accuracy of subsequent judgments on the leakage status of the tire at the test location using the cumulative dataset. When the total amount of tire pressure data in the accumulated tire pressure data set exceeds a first preset number, sufficient tire pressure data has been collected for the tire at the test location. This sufficient amount of data ensures the accuracy of the tire leak determination result for the tire at the test location. While ensuring accuracy, the most recent first preset number of tire pressure data are selected from the accumulated tire pressure data set in order of timestamps. Analysis is then performed based on the first preset number of tire pressure data to determine a first actual tire pressure change rate for the tire at the test location. Because the total amount of tire pressure data in the accumulated tire pressure data set can, to a certain extent, characterize the operating condition of the tire at the test location, a standard tire pressure change rate that corresponds to the current operating condition of the tire at the test location can be determined, i.e., a normal tire pressure change rate when the tire at the test location is not leaking. This can further improve the accuracy of tire leak determination for the tire at the test location. If the tire at the test location is leaking, the first actual tire pressure change rate will be greater than the standard tire pressure change rate. Therefore, when the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the test location is leaking. In summary, the method of the present application can determine whether a tire is leaking based on a large amount of accumulated tire pressure data, and the tire status and working conditions are taken into consideration when making the judgment, thereby achieving accurate judgment of tire leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the conventional technology, the following briefly introduces the drawings required for use in the embodiments or the conventional technology descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 is a flow chart of a vehicle tire leakage detection method according to one embodiment;

[0044] Figure 2 is a flow chart of a method for determining a tire pressure dataset in one embodiment;

[0045] Figure 3 is a flow chart of a method for determining a tire condition in one embodiment;

[0046] Figure 4 A flowchart of a method for determining tire pressure increment in one embodiment;

[0047] Figure 5 is a flow chart of a method for determining a tire pressure change rate in one embodiment;

[0048] Figure 6 A flowchart of a method for determining whether a tire is flat in one embodiment;

[0049] Figure 7 A flowchart of a method for determining whether a tire is flat in another embodiment;

[0050] Figure 8 is a flow chart of a vehicle tire leakage detection method in another embodiment;

[0051] Figure 9 is a structural diagram of a vehicle tire leakage detection device in one embodiment;

[0052] Figure 10 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0053] To facilitate understanding of the present application, the present application will be described more fully below with reference to the accompanying drawings. The accompanying drawings provide embodiments of the present application. However, the present application may be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to make the disclosure of the present application more thorough and comprehensive.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application pertains. The terms used herein in the specification of this application are for the purpose of describing specific embodiments only and are not intended to limit this application.

[0055] It will be understood that the terms "first," "second," etc. used herein may be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish a first element from another element.

[0056] It should be noted that when an element is considered to be "connected" to another element, it can be directly connected to the other element or connected to the other element through an intervening element. In addition, the "connection" in the following embodiments should be understood as "electrical connection", "communication connection", etc., if there is transmission of electrical signals or data between the connected objects.

[0057] When used herein, the singular forms "a", "an", and "the" may also include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the terms "include / comprise" or "have" and the like specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.

[0058] The vehicle tire leakage detection method provided in the embodiment of the present application can be applied to the vehicle's on-board terminal, so that the on-board terminal can determine whether the vehicle's tire is leaking, which is convenient for users to accurately judge whether the tire is leaking and ensure the safety of the vehicle.

[0059] In one embodiment, Figure 1 As shown, a vehicle tire leakage detection method is provided, including steps S100 to S130.

[0060] Step S100: obtaining a tire pressure data set of a tire at a position to be tested during a current start-stop time period.

[0061] The tire pressure data set includes multiple tire pressure data sorted by timestamp.

[0062] Among them, a tire pressure sensor is installed in the tire of the vehicle's test position, which can collect tire pressure data of the tire at the test position at a preset frequency. The vehicle's processor receives the tire pressure data collected by the tire pressure sensor and records the corresponding timestamp when each tire pressure data is received, thereby storing the tire pressure data and the corresponding timestamp, and sorting the tire pressure data according to the distance of the timestamp to obtain a tire pressure data set.

[0063] The start-stop time period is the time period between the time the vehicle starts and the time the vehicle stops.

[0064] For example, a vehicle is equipped with a telematics box (T-BOX) that can read the vehicle's operating parameters from the vehicle's controller area network (CAN) bus and upload the parameters to a cloud server. The T-BOX can then collect the vehicle's tire pressure and timestamp data and upload it to the cloud server. The vehicle's onboard terminal can also obtain the vehicle's tire pressure and timestamp data through the T-BOX. Furthermore, the vehicle's start / stop time period can be determined based on the upload time period of the tire pressure and timestamp data. When the vehicle's T-BOX stops uploading tire pressure and timestamp data, the vehicle is deemed to have stopped. The vehicle's current start / stop time period is then determined based on the time the vehicle stopped and the time it last stopped.

[0065] Step S110 , determining whether to clear the accumulated tire pressure data set corresponding to the tire at the position to be measured based on the tire pressure data set in the current start-stop time period and the tire pressure data set in the previous start-stop time period.

[0066] The accumulated tire pressure data set includes tire pressure data sets in each start-stop time period of the tire at the position to be measured.

[0067] Specifically, based on the tire pressure data set within the current start-stop time period and the tire pressure data set within the previous start-stop time period, it is possible to determine whether the status of the tire at the vehicle's test position has changed between the current start-stop time period and the previous start-stop time period (for example, a new tire has been replaced at the test position or the tire at the test position has been inflated). If a change has occurred, the cumulative tire pressure data set corresponding to the tire at the test position currently recorded is inaccurate and needs to be re-recorded. Therefore, the cumulative tire pressure data set corresponding to the tire at the test position is cleared. If the tire status has not changed, there is no need to clear the cumulative data set, thereby ensuring the accuracy of the subsequent use of the cumulative data set to judge the leakage status of the tire at the test position.

[0068] Step S120, when the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset number, determine a first actual tire pressure change rate of the tire at the to-be-tested position based on the first preset number of tire pressure data in the accumulated tire pressure data set sorted from near to far by timestamp.

[0069] Specifically, the total amount of tire pressure data in the accumulated tire pressure dataset corresponding to the tire at the test location is first determined. If the amount of data is less than a first preset amount, the first actual tire pressure change rate of the tire at the test location calculated using the tire pressure data in the accumulated tire pressure dataset is inaccurate due to the small amount of data. Therefore, only when the total amount of tire pressure data in the accumulated tire pressure dataset exceeds the first preset amount, a first preset number of tire pressure data are selected from the accumulated tire pressure dataset, sorted by timestamp from most recent to most recent. Specifically, the first preset number of tire pressure data records from the accumulated tire pressure dataset are selected. Then, analysis based on the first preset number of tire pressure data records is performed to determine the first actual tire pressure change rate of the tire at the test location.

[0070] Step S130 : When the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the to-be-tested position is leaking.

[0071] Specifically, because the total amount of tire pressure data in the accumulated tire pressure data set can, to a certain extent, characterize the operating condition of the tire at the test location, it is possible to determine a standard tire pressure change rate that corresponds to the current operating condition of the tire at the test location, i.e., a normal tire pressure change rate when the tire at the test location is not leaking. Therefore, it is necessary to select an appropriate standard tire pressure change rate based on a first preset number to improve the accuracy of the determination. Then, if the tire at the test location is leaking, the first actual tire pressure change rate will be greater than the standard tire pressure change rate. Therefore, when the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the test location is leaking.

[0072] In this embodiment, the vehicle tire leak detection method first obtains a tire pressure dataset for the tire at the test location during the vehicle's current start-stop period, thereby obtaining the latest tire pressure data for the tire at the test location. Then, based on the tire pressure dataset for the current start-stop period and the tire pressure dataset for the previous start-stop period, it is determined whether the tire at the test location has changed. If so, the currently recorded cumulative tire pressure dataset corresponding to the tire at the test location is inaccurate and needs to be re-recorded. Therefore, the cumulative tire pressure dataset corresponding to the tire at the test location is cleared. If the tire status has not changed, there is no need to clear the cumulative dataset, thereby ensuring the accuracy of subsequent judgments based on the cumulative dataset regarding the leak status of the tire at the test location. When the total amount of tire pressure data in the accumulated tire pressure data set exceeds a first preset number, sufficient tire pressure data has been collected for the tire at the test location. This sufficient amount of data ensures the accuracy of the tire leak determination result for the tire at the test location. While ensuring accuracy, the most recent first preset number of tire pressure data are selected from the accumulated tire pressure data set in order of timestamps. Analysis is then performed based on the first preset number of tire pressure data to determine a first actual tire pressure change rate for the tire at the test location. Because the total amount of tire pressure data in the accumulated tire pressure data set can, to a certain extent, characterize the operating condition of the tire at the test location, a standard tire pressure change rate that corresponds to the current operating condition of the tire at the test location can be determined, i.e., a normal tire pressure change rate when the tire at the test location is not leaking. This can further improve the accuracy of tire leak determination for the tire at the test location. If the tire at the test location is leaking, the first actual tire pressure change rate will be greater than the standard tire pressure change rate. Therefore, when the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the test location is leaking. In summary, the method of the present application can determine whether a tire is leaking based on a large amount of accumulated tire pressure data, and the tire status and working conditions are taken into consideration when making the judgment, thereby achieving accurate judgment of tire leakage.

[0073] In one embodiment, Figure 2 As shown, step S100, the step of obtaining a tire pressure data set of a tire at a position to be tested during a current start-stop time period, includes:

[0074] Step S1000: obtaining a plurality of original tire pressure data of the tire at the position to be tested during the current start-stop time period.

[0075] The original tire pressure data of the tire at the to-be-tested position of the vehicle is obtained through a tire pressure sensor provided in the tire at the to-be-tested position, that is, the actual tire pressure data collected by the tire pressure sensor at a preset frequency.

[0076] Step S1010 , screening tire pressure data that meets preset conditions from a plurality of original tire pressure data.

[0077] Because the collected raw tire pressure data may contain errors, duplicates, or null values, it is necessary to clean the data. This includes deleting duplicate data with identical timestamps, data with null values, and data with clearly erroneous tire pressure values outside the set range. After these deletions, the remaining data is filtered to identify tire pressure data that meets the preset criteria.

[0078] Step S1020 : The tire pressure data satisfying the preset conditions and the set of corresponding timestamps are used as a tire pressure data set.

[0079] After the tire pressure data that meets the preset conditions are screened and retained, the tire pressure data are sorted in the order of timestamps to form a tire pressure data set.

[0080] For example, the tire pressure data set is shown in Table 1 below:

[0081] Table 1. Tire pressure dataset

[0082] Timestamp 1662 1664 …… 1850 Tire pressure data 400 390 …… 320 Serial number 1 2 …… n

[0083] For example, as the tire is used, the tire pressure gradually decreases, and therefore, the tire pressure data decreases as the timestamp increases.

[0084] In this embodiment, multiple original tire pressure data of the tire at the test position within the current start-stop time period are obtained, and then the multiple original tire pressure data are cleaned, abnormal data are filtered out, and the retained data are sorted in timestamp order to obtain a tire pressure data set, thereby ensuring the accuracy of the data in the tire pressure data set, avoiding interference of abnormal data on subsequent air leakage judgment, and improving the accuracy of the tire leakage judgment result.

[0085] In one embodiment, Figure 3 As shown, step S110 determines whether to clear the accumulated tire pressure data set corresponding to the tire at the position to be tested based on the tire pressure data set in the current start-stop time period and the tire pressure data set in the previous start-stop time period.

[0086] Step S1100 : determining a change in the average tire pressure value based on the tire pressure data set in the current start-stop time period and the tire pressure data set in the previous start-stop time period.

[0087] The tire pressure dataset for the current start-stop period is the set of tire pressure data from the current vehicle start to the current stop, while the tire pressure dataset for the previous start-stop period is the set of tire pressure data from the last vehicle start to the last vehicle stop. The current and previous start-stop periods are the two most recent, temporally adjacent periods of vehicle operation. The change in average tire pressure between these two periods can reflect the status of the tires at the test location.

[0088] Step S1110 : determining whether the tire at the position to be tested has been replaced or inflated based on the change in the average tire pressure.

[0089] Specifically, if the change in the average tire pressure is greater than the set tire pressure change threshold, it means that the state of the tire at the test position has changed during the period between the current start-stop time period and the previous start-stop time period. Because under normal circumstances, the tire pressure will gradually decrease. If the change in the average tire pressure is greater than the set tire pressure change threshold, it is judged that a new tire has been replaced at the test position or the tire at the test position has been inflated.

[0090] In step S1120 , if it is determined that the tire at the position to be measured has been replaced or inflated, the accumulated tire pressure data set corresponding to the tire at the position to be measured is cleared.

[0091] Specifically, if the tire at the test location is replaced or inflated, the currently recorded cumulative tire pressure dataset corresponding to the tire at the test location will be inaccurate and need to be re-recorded. Therefore, the cumulative tire pressure dataset corresponding to the tire at the test location is cleared. If the tire status has not changed, the tire pressure dataset for the current start-stop period is spliced onto the cumulative tire pressure dataset recorded after the previous start-stop period, thereby updating the cumulative tire pressure dataset.

[0092] Preferably, if the total amount of data in the accumulated tire pressure data set exceeds the total amount threshold, the earlier data with the smallest timestamps are deleted in sequence until the total amount of data in the accumulated tire pressure data set falls below the total amount threshold, and only the data below the total amount threshold is retained, thereby saving storage space.

[0093] In this embodiment, the tire pressure data set within the current start-stop time period and the tire pressure data set within the previous start-stop time period are used to determine whether the state of the tire at the test position has changed. When a change occurs, the currently recorded cumulative tire pressure data set corresponding to the tire at the test position is cleared and re-recorded, thereby ensuring that the recorded cumulative tire pressure data set corresponds to the tire at the current test position, thereby ensuring the accuracy of the judgment of the leakage state.

[0094] In one embodiment, Figure 4As shown, step S1100 determines the change in average tire pressure based on the tire pressure data set in the current start-stop time period and the tire pressure data set in the previous start-stop time period.

[0095] Step S400 : determining an average tire pressure value within the current start-stop time period based on the tire pressure data set within the current start-stop time period.

[0096] For example, the average tire pressure during the current start-stop period is first calculated using the following formula:

[0097]

[0098] Among them, P cur is the average tire pressure during the current start-stop period, P n is the nth tire pressure data in the tire pressure data set within the current start-stop time period, and N is the total amount of tire pressure data in the tire pressure data set within the current start-stop time period.

[0099] Step S410 : determining an average tire pressure value within the previous start-stop time period based on the tire pressure data set within the previous start-stop time period.

[0100] For example, the average tire pressure during the last start-stop period is calculated using the following formula:

[0101]

[0102] Among them, P pre is the average tire pressure during the last start-stop period, P k is the kth tire pressure data in the tire pressure data set within the last start-stop time period, and K is the total amount of tire pressure data in the tire pressure data set within the last start-stop time period.

[0103] Step S420 , determining a change in the average tire pressure based on the average tire pressure in the current start-stop time period and the average tire pressure in the previous start-stop time period.

[0104] For example, the average tire pressure change is calculated using the following formula:

[0105] P inc =P cur -P pre

[0106] Among them, P inc is the average change in tire pressure, P pre is the average tire pressure during the last start-stop period, P cur The average tire pressure during the current start-stop period. If the current start-stop period is the vehicle's first run, there is no average tire pressure change. This only applies when both the current and previous start-stop periods exist.

[0107] In this embodiment, the change in the average tire pressure can be determined based on the average tire pressure in the current start-stop time period and the average tire pressure in the previous start-stop time period, thereby facilitating subsequent judgment of the tire status.

[0108] In one embodiment, Figure 5 As shown, step S120 is a step of determining a first actual tire pressure change rate of the tire to be measured at the position to be measured based on the first preset number of tire pressure data in the accumulated tire pressure data set sorted from recent to farthest by time stamp when the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset number. This step includes:

[0109] Step S1200 : When the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset number, a first preset number of tire pressure data are selected from the accumulated tire pressure data set according to the timestamps from recent to far as a first tire pressure sample set.

[0110] When the total amount of tire pressure data in the accumulated tire pressure data set is less than a first preset number, the sample data is insufficient due to the small amount of data, making it impossible to accurately determine whether the tire is leaking. Only when the total amount of tire pressure data in the accumulated tire pressure data set is greater than the first preset number, the first preset number of tire pressure data are selected from the accumulated tire pressure data set in descending order of timestamps. That is, the first preset number of tire pressure data records that are the most recently recorded in the accumulated tire pressure data set are selected as the first tire pressure sample set.

[0111] Step S1210 : performing linear fitting processing on the first tire pressure sample set to obtain a first tire pressure variation equation.

[0112] The least squares method can be used to perform linear fitting on the first tire pressure sample set. The distribution of the tire pressure data in the first tire pressure sample set is determined. Based on the distribution of the tire pressure data in the first tire pressure sample set, a straight line that best reflects the distribution of the tire pressure data in the first tire pressure sample set is determined, thereby obtaining a linear equation representing the first tire pressure sample set, which is the first tire pressure change equation.

[0113] Exemplarily, the tire pressure data-timestamp in the first tire pressure sample set is written in the form of coordinates (x, y), and according to the coordinate points of multiple tire pressure data-timestamps in the first tire pressure sample set, they are written in the form of multiple linear equations y=kx+b respectively. Then, linear fitting is performed using the least squares method to determine k1 and b1 that minimize the sum of the squares of the equations y-(kx+b) of the coordinate points of each tire pressure data-timestamp, and the linear equation y=k1x+b1 that best represents the first tire pressure sample set is obtained.

[0114] Step S1220: Determine a first actual tire pressure change rate of the tire at the position to be measured according to the slope of the first tire pressure change equation.

[0115] Specifically, the slope of the first tire pressure change equation may represent the speed at which the tire pressure of the tire at the position to be measured changes over time, that is, the first actual tire pressure change rate.

[0116] In this embodiment, a linear fit is performed on a large amount of tire pressure data to obtain a linear equation that best represents the tire pressure change trend. The slope of the linear equation is then used to represent the actual tire pressure change rate. This allows the determination of the actual tire pressure change rate at the test location.

[0117] In one embodiment, Figure 6 As shown, step S130, when the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number, determines that the tire at the position to be tested is leaking.

[0118] Step S1300: determining a first operating condition of a tire at a position to be tested according to a first preset number.

[0119] Specifically, the total amount of tire pressure data in the accumulated tire pressure data set can, to a certain extent, characterize the operating condition of the tire at the location to be tested. Since the first preset number of tire pressure data are selected in step S120 only when the total amount of tire pressure data in the accumulated tire pressure data set exceeds the first preset number, using the first preset number to determine the first operating condition of the tire at the location to be tested can yield relatively accurate operating condition data.

[0120] For example, the first operating condition may include the usage time of the tire at the location to be measured.

[0121] Step S1310: Determine a standard tire pressure change rate corresponding to a first preset number based on tire pressure big data matching the first operating condition.

[0122] The standard tire pressure change rate corresponding to the first preset number is a normal tire pressure change rate of the tire at the position to be tested under the first working condition and without air leakage.

[0123] Specifically, a large number of tire pressure change rates of tires that are not leaking and are in the first working condition are stored in the cloud. Based on big data analysis, the normal tire pressure change rate of the tires at the test position that are also in the first working condition and are not leaking is obtained.

[0124] Step S1320 : When the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the position to be tested is leaking.

[0125] Specifically, if the tire at the position to be tested is leaking, the first actual tire pressure change rate will be greater than the standard tire pressure change rate. Therefore, when the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the position to be tested is leaking.

[0126] In this embodiment, the working condition of the tire at the to-be-tested position is first determined based on the total amount of accumulated tire pressure data. Then, based on the working condition and big data analysis, the standard tire pressure change rate of the tire at the to-be-tested position is obtained. This standard tire pressure change rate is then used as a reference to compare the first actual tire pressure change rate with it to determine whether the tire at the to-be-tested position is leaking.

[0127] In one embodiment, Figure 7 As shown, the vehicle tire leakage detection method also includes:

[0128] In step S700, if it is determined that the tire at the position to be tested is not leaking based on the first actual tire pressure change rate and the standard tire pressure change rate corresponding to the first preset number, then when the total amount of tire pressure data in the accumulated tire pressure data set is greater than the second preset number, the second actual tire pressure change rate of the tire at the position to be tested is determined based on the second preset number of tire pressure data in the accumulated tire pressure data set sorted from near to far by timestamp.

[0129] The second preset number is greater than the first preset number.

[0130] Specifically, when the first actual tire pressure change rate is less than or equal to the standard tire pressure change rate corresponding to the first preset number, the tire pressure change rate of the tire at the test location is slower than the tire pressure change rate of the tire at the test location when it is in the first operating condition and is not leaking. Therefore, the tire at the test location is determined to be not leaking. However, since the amount of data in the first preset number is insufficient, the judgment is made quickly but may not be accurate enough. Therefore, a second level of judgment is performed. When the total amount of tire pressure data in the accumulated tire pressure data set is greater than the second preset number, the amount of data is greater than the first preset number. At this time, the second preset number of tire pressure data in the accumulated tire pressure data set, sorted by timestamp from recent to far, is selected as the second tire pressure sample set. Then, in the same manner as in the above embodiment, the least squares method is used to determine the linear equation that best characterizes the change trend of the second tire pressure sample set. The second actual tire pressure change rate is determined based on the slope of the linear equation.

[0131] Step S710: Determine whether the tire at the position to be tested is leaking based on the second actual tire pressure change rate and the standard tire pressure change rate corresponding to the second preset number.

[0132] Specifically, because the total amount of accumulated tire pressure data has changed, the operating condition of the tire at the test location has also changed. A second operating condition of the tire at the test location is determined based on a second preset number. Then, using big data analysis, a normal tire pressure change rate for the tire at the test location in the first operating condition, when not leaking, is obtained as a standard tire pressure change rate. When the second actual tire pressure change rate exceeds the standard tire pressure change rate corresponding to the second preset number, it is determined that the tire at the test location is leaking.

[0133] For example, similarly, if the tire at the test location is determined to be leak-free based on the first actual tire pressure change rate and the standard tire pressure change rate corresponding to the first preset number, and the total amount of tire pressure data in the accumulated tire pressure dataset exceeds a third preset number, the above steps can be repeated based on the third preset number of tire pressure data to determine whether the tire is leaking. The first preset number can be 20,000, and the standard tire pressure change rate corresponding to the first preset number can be a linear equation with a slope of -0.005. The second preset number can be 50,000, and the standard tire pressure change rate corresponding to the second preset number can be a linear equation with a slope of -0.001. The third preset number can be 100,000, and the standard tire pressure change rate corresponding to the third preset number can be a linear equation with a slope of -0.0005. The more tire pressure data selected, the larger the data volume, and the slower but more accurate the tire leak determination at the test location. Therefore, the appropriate amount of tire pressure data and number of determination layers can be selected based on actual needs to balance speed and accuracy.

[0134] In this embodiment, if a relatively small amount of tire pressure data indicates that the tire at the location being tested is not leaking, a more accurate determination of whether the tire at the location being tested is leaking can be made based on a larger amount of tire pressure data. The smaller the amount of data selected, the faster the determination, while the larger the amount of data selected, the more accurate the determination.

[0135] For example, Figure 8 As shown, a complete flow chart of the vehicle tire leakage detection method in this application is provided, including:

[0136] Step S800: Obtaining original tire pressure data.

[0137] Step S801 : Filter tire pressure data that meets preset conditions from a plurality of original tire pressure data to obtain a tire pressure data set.

[0138] Step S802: determining the average tire pressure value within the current start-stop time period based on the tire pressure data set within the current start-stop time period.

[0139] Step S803 : determining the average tire pressure value in the last start-stop time period based on the tire pressure data set in the last start-stop time period.

[0140] Step S804 : determining a change in the average tire pressure based on the average tire pressure in the current start-stop time period and the average tire pressure in the previous start-stop time period.

[0141] Step S805: Determine whether the average tire pressure change is greater than a tire pressure change threshold. If so, proceed to step S806; if not, proceed to step S807.

[0142] Step S806: Clear the accumulated tire pressure data set corresponding to the tire at the position to be measured.

[0143] Step S807: Determine whether the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset amount. If the total amount of tire pressure data in the accumulated tire pressure data set is greater than the first preset amount, then execute step S808. If the total amount of tire pressure data in the accumulated tire pressure data set is less than or equal to the first preset amount, then execute step S800.

[0144] Step S808 : determining a first actual tire pressure change rate of the tire at the position to be measured based on a first preset number of tire pressure data items in the accumulated tire pressure data set that are sorted from nearest to farthest by time stamp.

[0145] Step S809: Determine whether the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number. If the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number, execute step S810; otherwise, execute step S811.

[0146] Step S810: Determine whether the tire at the position to be tested is leaking.

[0147] Step S811: determine whether the tire at the position to be tested is leaking.

[0148] In this embodiment, a complete flow chart of a vehicle tire leakage detection method is provided, which facilitates accurate determination of whether a tire is leaking.

[0149] It should be understood that although Figures 1-8 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figures 1-8At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The order of execution of these steps or stages is not necessarily one by one, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0150] In one embodiment, Figure 9 As shown, a vehicle tire leakage detection device is provided, comprising: a data acquisition module 901, a reset module 902, a change rate determination module 903, and a leakage determination module 904, wherein:

[0151] The data acquisition module 901 is configured to acquire a tire pressure data set of a tire at a position to be tested within a current start-stop time period, wherein the tire pressure data set includes a plurality of tire pressure data sorted by timestamps.

[0152] The reset module 902 is used to determine whether to clear the cumulative tire pressure dataset corresponding to the tire at the test position based on the tire pressure dataset in the current start-stop time period and the tire pressure dataset in the previous start-stop time period, wherein the cumulative tire pressure dataset includes the tire pressure dataset in each start-stop time period of the tire at the test position.

[0153] The change rate determination module 903 is used to determine the first actual tire pressure change rate of the tire to be tested based on the first preset number of tire pressure data in the cumulative tire pressure data set sorted from near to far by timestamp when the total amount of tire pressure data in the cumulative tire pressure data set is greater than the first preset number.

[0154] The air leakage determination module 904 is configured to determine that the tire at the test location is leaking when the first actual tire pressure change rate is greater than a standard tire pressure change rate corresponding to a first preset number.

[0155] In one embodiment, the data acquisition module 901 further includes: a data acquisition unit, a data screening unit, and a data aggregation unit, wherein:

[0156] The data acquisition unit is used to acquire a plurality of original tire pressure data of the tire at the position to be tested during the current start-stop time period.

[0157] The data screening unit is used to screen tire pressure data that meets preset conditions from multiple original tire pressure data.

[0158] The data aggregation unit is used to collect tire pressure data that meets preset conditions and the corresponding timestamps as a tire pressure data set.

[0159] In one embodiment, the reset module 902 further includes: a current average tire pressure determination unit, a previous average tire pressure determination unit, and a clearing unit, wherein:

[0160] The current average tire pressure determination unit is used to determine a change in the average tire pressure based on a tire pressure data set in a current start-stop time period and a tire pressure data set in a previous start-stop time period.

[0161] The previous average tire pressure determination unit is used to determine whether the tire at the position to be tested has been replaced or inflated according to the change in the average tire pressure.

[0162] The clearing unit is configured to clear the accumulated tire pressure data set corresponding to the tire at the to-be-tested position if it is determined that the tire at the to-be-tested position is replaced or inflated.

[0163] In one embodiment, the change rate determination module 903 further includes: a data selection unit, a data fitting unit, and a rate determination unit, wherein:

[0164] The data selection unit is used to select a first preset number of tire pressure data from the accumulated tire pressure data set according to timestamps from recent to far when the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset number as a first tire pressure sample set.

[0165] The data fitting unit is used to perform linear fitting processing on the first tire pressure sample set to obtain a first tire pressure change equation.

[0166] The rate determination unit is used to determine a first actual tire pressure change rate of the tire at the position to be measured according to the slope of the first tire pressure change equation.

[0167] In one embodiment, the air leakage determination module 904 further includes: an operating condition determination unit, a standard rate determination unit, and an air leakage judgment unit, wherein:

[0168] The operating condition determination unit is used to determine a first operating condition of the tire at the position to be tested according to a first preset number.

[0169] A standard rate determination unit is used to determine a standard tire pressure change rate corresponding to a first preset number based on tire pressure big data matching the first operating condition, wherein the standard tire pressure change rate corresponding to the first preset number is the normal tire pressure change rate of the tire at the test position under the first operating condition and without leakage.

[0170] The air leakage judgment unit is used to determine that the tire at the to-be-tested position is leaking when the first actual tire pressure change rate is greater than the standard tire pressure change rate corresponding to the first preset number.

[0171] For the specific definition of the vehicle tire leakage detection device, please refer to the definition of the vehicle tire leakage detection method above, which will not be repeated here. The various modules in the above-mentioned vehicle tire leakage detection device can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0172] In one embodiment, a computer device is provided, wherein the internal structure of the computer device can be as follows: Figure 10 As shown. The computer device includes a processor, memory, and a network interface connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, it implements a vehicle tire leakage detection method.

[0173] Those skilled in the art will understand that Figure 10 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0174] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0175] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0176] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0177] Throughout this specification, references to terms such as "some embodiments," "other embodiments," and "desired embodiments" indicate that a particular feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. Although these terms are used interchangeably throughout this specification, they do not necessarily refer to the same embodiment or example.

[0178] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0179] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A vehicle tire leakage detection method, characterized in that: include: Obtaining a tire pressure dataset of a tire at a position to be tested within a current start-stop time period of the vehicle, wherein the tire pressure dataset includes a plurality of tire pressure data sorted by timestamp; determining whether to clear a cumulative tire pressure dataset corresponding to the tire at the position to be measured based on the tire pressure dataset in the current start-stop time period and the tire pressure dataset in the previous start-stop time period, wherein the cumulative tire pressure dataset includes tire pressure datasets in each start-stop time period of the tire at the position to be measured; When the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset number, determining a first actual tire pressure change rate of the tire at the position to be measured based on the first preset number of tire pressure data in the accumulated tire pressure data set sorted from most recent to most recent timestamps; When the first actual tire pressure change rate is greater than a standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the to-be-tested position is leaking.

2. The vehicle tire leakage detection method according to claim 1, characterized in that: The step of obtaining a tire pressure dataset of a tire at a position to be tested during a current start-stop time period of the vehicle includes: Obtain multiple original tire pressure data of the tire at the position to be tested during the current start-stop time period; screening tire pressure data that meets a preset condition from the plurality of original tire pressure data; The tire pressure data satisfying the preset conditions and the set of corresponding timestamps are used as the tire pressure data set.

3. The vehicle tire leakage detection method according to claim 1, characterized in that: The step of determining whether to clear the accumulated tire pressure dataset corresponding to the tire at the position to be measured based on the tire pressure dataset in the current start-stop time period and the tire pressure dataset in the previous start-stop time period includes: determining a change in average tire pressure based on the tire pressure data set within the current start-stop time period and the tire pressure data set within the previous start-stop time period; determining whether the tire at the position to be tested has been replaced or inflated based on the change in the average tire pressure; If it is determined that the tire at the position to be measured is replaced or inflated, the accumulated tire pressure data set corresponding to the tire at the position to be measured is cleared.

4. The vehicle tire leakage detection method according to claim 3, characterized in that: The step of determining the change in average tire pressure based on the tire pressure data set in the current start-stop time period and the tire pressure data set in the previous start-stop time period includes: determining an average tire pressure value within the current start-stop time period based on the tire pressure data set within the current start-stop time period; determining an average tire pressure value within the last start-stop time period based on the tire pressure data set within the last start-stop time period; The change in the average tire pressure is determined based on the average tire pressure in the current start-stop time period and the average tire pressure in the previous start-stop time period.

5. The vehicle tire leakage detection method according to any one of claims 1 to 4, characterized in that: When the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset number, determining a first actual tire pressure change rate of the tire at the to-be-tested position based on the first preset number of tire pressure data in the accumulated tire pressure data set sorted from nearest to furthest by timestamp includes: When the total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset number, selecting a first preset number of tire pressure data from the accumulated tire pressure data set according to the timestamps from recent to far as a first tire pressure sample set; performing a linear fitting process on the first tire pressure sample set to obtain a first tire pressure change equation; A first actual tire pressure change rate of the tire at the position to be measured is determined according to the slope of the first tire pressure change equation.

6. The vehicle tire leakage detection method according to claim 5, characterized in that: The step of determining that the tire at the to-be-tested position is leaking when the first actual tire pressure change rate is greater than a standard tire pressure change rate corresponding to the first preset number includes: determining a first operating condition of the tire at the position to be tested according to the first preset number; determining, based on the tire pressure big data matching the first operating condition, a standard tire pressure change rate corresponding to the first preset number, wherein the standard tire pressure change rate corresponding to the first preset number is a normal tire pressure change rate of the tire at the test position under the first operating condition and without leakage; When the first actual tire pressure change rate is greater than a standard tire pressure change rate corresponding to the first preset number, it is determined that the tire at the to-be-tested position is leaking.

7. The vehicle tire leakage detection method according to claim 6, characterized in that: The vehicle tire leakage detection method further comprises: If it is determined that the tire at the to-be-tested location is not leaking based on the first actual tire pressure change rate and the standard tire pressure change rate corresponding to the first preset number, then, when the total amount of tire pressure data in the accumulated tire pressure data set is greater than a second preset number, determining a second actual tire pressure change rate of the tire at the to-be-tested location based on a second preset number of tire pressure data in the accumulated tire pressure data set that are sorted from most recent to most distant timestamps, wherein the second preset number is greater than the first preset number; Whether the tire at the position to be tested is leaking is determined according to the second actual tire pressure change rate and a standard tire pressure change rate corresponding to the second preset number.

8. A vehicle tire leakage detection device, characterized in that: include: a data acquisition module, configured to acquire a tire pressure data set of a tire at a position to be tested during a current start-stop time period of the vehicle, wherein the tire pressure data set includes a plurality of tire pressure data sorted by timestamp; a reset module, configured to determine whether to clear a cumulative tire pressure dataset corresponding to the tire at the position to be tested based on the tire pressure dataset in the current start-stop time period and the tire pressure dataset in the previous start-stop time period, wherein the cumulative tire pressure dataset includes the tire pressure datasets in each start-stop time period of the tire at the position to be tested; a change rate determining module, configured to determine, when a total amount of tire pressure data in the accumulated tire pressure data set is greater than a first preset amount, a first actual tire pressure change rate of the tire at the position to be measured based on a first preset number of tire pressure data in the accumulated tire pressure data set sorted from most recent to most recent timestamp; The air leakage determination module is used to determine that the tire at the test position is leaking when the first actual tire pressure change rate is greater than a standard tire pressure change rate corresponding to the first preset number.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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