Tire dynamic balance detection method, device, equipment and medium

Abstract

The invention discloses a tire dynamic balance detection method, device and equipment and a medium, and is applied to the field of vehicle detection.The method comprises the steps that a sensor calling instruction is selected and triggered by monitoring a target event to obtain target acceleration data; obtaining each preset acceleration threshold value, and comparing the acceleration data with the corresponding preset acceleration threshold value to obtain a comparison result; and determining whether a dynamic balance abnormal event exists in the tire on the target wheel based on the comparison result. When the tire stably runs, the data acquired by the acceleration sensor is matched with the preset threshold value, and when the dynamic balance of the tire is abnormal, the tire vibrates, and the acceleration changes obviously, whether the tire is in dynamic balance or not can be judged more accurately compared with sensing judgment by comparing sampling with the dynamic balance threshold value, and the judgment accuracy is improved. Therefore, the problem that the tire problem is difficult to find timely and accurately is solved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle detection, and in particular to a tire dynamic balance detection method, device, equipment and medium. Background Art

[0002] During the driving process of a car, tires, as key components that directly contact the ground, bear the entire weight of the vehicle and various complex stresses. As the mileage increases, tires will inevitably experience wear, bumps, and deformation. At present, passengers mainly perceive possible problems with tires by feeling the vibration of the vehicle, and then go to the repair shop for further inspection. The car repair shop visually inspects the appearance of the tire to determine whether the tire is abnormal. However, there is a serious lag in relying on passengers to perceive vehicle vibration. When passengers can clearly feel the vibration of the vehicle, the wear, bumps, or deformation of the tires have often developed to a more serious degree. At the same time, there is a large error in judging tire problems by passengers' perception of vibration. The reasons for the vibration during vehicle driving are complex and diverse, and it is not just tire problems that can cause vehicle vibration.

[0003] In summary, whether it is usually checking the appearance of the tire with the naked eye, or driving a car for a road test to find the vehicle vibration, and finally performing a dynamic balancing mechanical tire rotation to determine whether the tire is abnormally balanced, the judgment process is relatively subjective and cumbersome. It is difficult to determine what specific problem the tire has, which leads to misjudgment, waste of time and repair costs. Due to the high subjectivity of the current judgment process. This makes it difficult to ensure that tire problems are discovered in a timely and accurate manner. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a tire dynamic balance detection method, device, equipment and medium, which solves the problem in the prior art that it is difficult to ensure that tire problems caused by subjective judgment of whether the tire is abnormal in dynamic balance can be discovered in a timely and accurate manner. The specific scheme is as follows:

[0005] In a first aspect, the present application discloses a tire dynamic balance detection method, comprising:

[0006] When a target event is detected, a sensor call instruction is triggered, and the sensor call instruction is used to initiate a call to a target acceleration sensor pre-set on a target wheel to obtain target acceleration data collected by the target acceleration sensor; the target acceleration sensor is used to collect acceleration data in several target directions of the target wheel;

[0007] Acquire each preset acceleration threshold value corresponding to each of the target directions, and compare the acceleration data in each of the target directions in the target acceleration data with the corresponding preset acceleration threshold value to obtain a corresponding comparison result;

[0008] It is determined whether there is an abnormal dynamic balance event on the tire of the target wheel based on the comparison result.

[0009] Optionally, also include:

[0010] Integrating the comparison result and the wheel marking information of the target wheel to obtain target information;

[0011] Using a local preset storage space to store the target information;

[0012] The target information stored in the local preset storage space is transmitted to a preset instrument and equipment through a first signal that meets a preset high-frequency condition; wherein the preset instrument and equipment is provided with a display for displaying the target information.

[0013] Optionally, before transmitting the first information stored in the local preset storage space to a preset instrument and equipment through a first signal that meets a preset high-frequency condition, the method further includes:

[0014] monitoring whether an information request sent by the preset instrument and equipment through a second signal that meets a preset low-frequency condition is received;

[0015] If the request signal is received, the step of transmitting the target information stored in the local preset storage space to the preset instrument and equipment via the first signal satisfying the preset high-frequency condition is triggered.

[0016] Optionally, the acquiring target acceleration data collected by the target acceleration sensor includes:

[0017] Obtaining a preset number of acceleration data most recently collected by the target acceleration sensor;

[0018] Determine the standard deviation corresponding to the preset number of acceleration data, and determine whether the standard deviation is greater than a preset standard deviation threshold;

[0019] When the standard deviation is less than or equal to the preset standard deviation threshold, the target acceleration data is determined based on the preset number of acceleration data; when the standard deviation is greater than the preset standard deviation threshold, the process jumps again to the step of obtaining the preset number of acceleration data most recently collected by the target acceleration sensor.

[0020] Optionally, also include:

[0021] Counting the number of acceleration data whose values ​​are less than a preset dynamic balancing single threshold value among the preset number of acceleration data;

[0022] Determine the ratio of the counted number to the preset number;

[0023] comparing the ratio to a preset dynamic balancing overall threshold;

[0024] If the ratio is greater than the preset dynamic balance overall threshold, it is determined that the dynamic balance of the tire on the target wheel is normal; otherwise, it is determined that the dynamic balance of the tire on the target wheel is abnormal.

[0025] Optionally, determining the standard deviation corresponding to the preset number of acceleration data includes:

[0026] Selecting a low-pass filtering method or a Kalman filtering method, and filtering the acceleration data using the initialized filtering parameters, so as to process the acceleration data point by point and store the filtering results of the acceleration data; wherein the low-pass filtering method and the Kalman filtering method correspond to different filtering parameters;

[0027] A variance of the acceleration data is determined based on the filtering result, and a standard deviation of the acceleration data is determined based on the variance.

[0028] In a second aspect, the present application discloses a tire dynamic balance detection device, comprising:

[0029] A sampling module, for triggering a sensor call instruction when a target event is detected, and using the sensor call instruction to initiate a call to a target acceleration sensor pre-set on a target wheel to obtain target acceleration data collected by the target acceleration sensor; the target acceleration sensor is used to collect acceleration data in several target directions of the target wheel;

[0030] A comparison module, used for acquiring each preset acceleration threshold value corresponding to each of the target directions, and comparing the acceleration data in each of the target directions in the target acceleration data with the corresponding preset acceleration threshold value to obtain a corresponding comparison result;

[0031] The judgment module is used to determine whether there is an abnormal dynamic balance event on the tire of the target wheel based on the comparison result.

[0032] Optionally, also include:

[0033] An information integration module, used for integrating the comparison result and the wheel mark information of the target wheel to obtain target information;

[0034] An information storage module, used to store the target information using a local preset storage space;

[0035] An information transmission module, used to transmit the target information stored in the local preset storage space to a preset instrument and equipment through a first signal that meets a preset high-frequency condition; wherein the preset instrument and equipment is equipped with a display for displaying the target information;

[0036] A monitoring module, used for monitoring whether an information request sent by the preset instrument and equipment through a second signal meeting a preset low-frequency condition is received;

[0037] The trigger module is used to trigger the corresponding working process of the monitoring module if the request signal is received.

[0038] In a third aspect, the present application discloses an electronic device, comprising:

[0039] Memory, used to store computer programs;

[0040] The processor is used to execute the computer program to implement the above tire dynamic balance detection method.

[0041] In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the tire dynamic balance detection method as described above is implemented.

[0042] It can be seen that the present application triggers the sensor call instruction when the target event is monitored, and uses the target acceleration sensor call instruction to initiate a call to the target acceleration sensor pre-set on the target wheel to obtain the target acceleration data collected by the target acceleration sensor; the target acceleration sensor is used to collect the acceleration data in several target directions of the target wheel; obtains each preset acceleration threshold value corresponding to each target direction, and compares the acceleration data in each target direction in the target acceleration data with the corresponding preset acceleration threshold value to obtain a corresponding comparison result; based on the comparison result, it is determined whether the tire on the target wheel has a dynamic balance abnormality event. During stable operation, the data obtained by the acceleration sensor is consistent with the preset threshold value, and when the tire has a dynamic balance abnormality, the tire vibrates and the acceleration changes significantly. By comparing the sampling with the dynamic balance threshold value, it can be more accurately judged whether the tire is in dynamic balance than based on perception judgment, thereby solving the problem that tire problems are difficult to ensure that they are discovered in a timely and accurate manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0044] Figure 1 A flow chart of a tire dynamic balance detection method disclosed in this application;

[0045] Figure 2 An acceleration sensor inside a TPMS sensor disclosed in the present application;

[0046] Figure 3 A sampling data diagram of an acceleration sensor disclosed in this application;

[0047] Figure 4 A flow chart of a tire dynamic balance detection method disclosed in this application;

[0048] Figure 5 A specific flow chart of a tire dynamic balance detection method disclosed in this application;

[0049] Figure 6 This is a schematic structural diagram of a tire dynamic balance detection device disclosed in this application;

[0050] Figure 7 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] The core of this application is to provide a tire dynamic balance detection method.

[0053] In order to enable those skilled in the art to better understand the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0054] At present, relying on passengers to sense vehicle vibration and then visually inspecting the tire appearance in the auto repair shop to determine whether the tire is abnormal has a serious lag in the discovery of problems. When passengers can clearly feel the vehicle vibration, the wear, bumps or deformation of the tires have often developed to a more serious degree. At the same time, there is a large error in judging tire problems by passengers sensing vibration. The reasons for the vibration during vehicle driving are complex and diverse, and it is not just the tire problem that can cause vehicle vibration. Therefore, whether it is usually checking the tire appearance by the naked eye, or driving a road test to discover vehicle vibration, and finally performing a dynamic balancing mechanical tire rotation to determine whether the tire is abnormal in dynamic balance, the judgment process is relatively subjective and cumbersome. It is difficult to determine what specific problem the tire has, which leads to misjudgment, waste of time and maintenance costs. Due to the great subjectivity of the current judgment process. This makes it difficult to ensure that tire problems are discovered in a timely and accurate manner based on perception.

[0055] See also Figure 1 To solve the above problems, the present application discloses a tire dynamic balance detection method, which may include:

[0056] Step S11, when a target event is monitored, a sensor call instruction is triggered, and the sensor call instruction is used to initiate a call to a target acceleration sensor pre-set on a target wheel to obtain target acceleration data collected by the target acceleration sensor; the target acceleration sensor is used to collect acceleration data in several target directions of the target wheel.

[0057] In this embodiment, when a specific event is triggered, the acceleration sensor on the target wheel is actively called to obtain the acceleration data of the wheel in multiple directions. These data are the basic information for subsequent judgment of the dynamic balance of the tire. In a specific implementation, the vehicle start can be set as the monitored target event. After receiving the start signal, the sensor call instruction is triggered. Assuming that the target wheel is the left front wheel, the target acceleration sensor pre-set on the left front wheel is called. The acceleration sensor can be a three-axis acceleration sensor, such as Figure 2 As shown in FIG. 1 , an acceleration sensor inside a TPMS (Tire Pressure Monitoring System) sensor disclosed in the present application is capable of collecting acceleration data in three target directions: X-axis, Y-axis and Z-axis, wherein pin 1 is pin 1. Figure 3 As shown, it is a sampling data diagram of an acceleration sensor disclosed in the present application, and as shown in the figure, it is the value of the relative gravity acceleration sampled by the acceleration sensor moving on a plane perpendicular to the rotation axis of the tire, the horizontal axis is the rotation angle of the acceleration sensor, the unit is degree; the vertical axis is the acceleration, the unit is gravity acceleration.

[0058] In a specific implementation, obtaining the target acceleration data collected by the target acceleration sensor may include: obtaining a preset number of acceleration data collected by the target acceleration sensor; determining the standard deviation corresponding to the preset number of acceleration data, and judging whether the standard deviation is greater than a preset standard deviation threshold; when the standard deviation is less than or equal to the preset standard deviation threshold, determining the target acceleration data based on the preset number of acceleration data, and when the standard deviation is greater than the preset standard deviation threshold, jumping back to the step of obtaining the preset number of acceleration data collected by the target acceleration sensor. In this implementation, in order to improve the reliability and stability of the data. A preset number of acceleration data is taken, and the preset number of acceleration data can smooth out the abnormal values ​​generated by the occasional noise or instantaneous interference, so that the subsequent analysis based on these data can better represent the real motion state of the tire, thereby improving the accuracy of the dynamic balance detection result. The standard deviation is used to measure the discreteness of the data. It provides a quantitative evaluation standard for data quality. It can automatically filter out disturbed or unreliable data groups, avoid using these data for dynamic balance judgment, further improve the accuracy and reliability of the detection results, and reduce misjudgment caused by data quality problems. In a specific implementation, various high-frequency noises may be mixed into the acceleration data during the acquisition process, and these noises will interfere with the judgment of the real motion state of the tire. Therefore, in the process of determining the standard deviation corresponding to a preset number of acceleration data, it can include: selecting a low-pass filtering method or a Kalman filtering method, and filtering the acceleration data using the initialized filtering parameters to process the acceleration data point by point and store the filtering results of the acceleration data; wherein the low-pass filtering method and the Kalman filtering method correspond to different filtering parameters; determining the variance of the acceleration data based on the filtering results, and determining the standard deviation of the acceleration data based on the variance. In this implementation, the role of the low-pass filtering method and the Kalman filtering method is to remove these high-frequency noises and retain the low-frequency effective signal reflecting the dynamic balance state of the tire. Point by point processing and storage of the filtering results provide purer and more accurate data for subsequent variance and standard deviation calculations. Different filtering methods are suitable for different scenarios, providing flexibility in selection. Users or developers can select the most appropriate filtering method according to actual conditions, such as noise characteristics, computing resources, etc., to further optimize the detection effect. It provides a more objective and accurate quantitative basis for the judgment of tire dynamic balance. Compared with simply comparing acceleration data with preset thresholds, combining variance and standard deviation can more comprehensively evaluate the stability and fluctuation of data, further improving the accuracy and reliability of dynamic balance detection. At the same time, variance and standard deviation are common statistical indicators, which are easy to understand and apply, and are conducive to establishing a unified judgment standard.

[0059] Step S12: acquiring each preset acceleration threshold value corresponding to each target direction, and comparing the acceleration data in each target direction in the target acceleration data with the corresponding preset acceleration threshold value to obtain a corresponding comparison result.

[0060] In this embodiment, the collected acceleration data in each direction are compared with a preset threshold value, and the comparison result is used to preliminarily determine whether the acceleration in each direction is within a normal range. The acceleration data in each direction can be compared with the preset threshold value in the corresponding direction respectively, or the acceleration data in each direction can be integrated and compared with the overall preset threshold value. For example, the acceleration data in the three target directions of X-axis, Y-axis and Z-axis are collected and calculated to obtain the combined acceleration: , where A is the correlation coefficient. This provides a basis for the subsequent determination of the dynamic balance of the tire. As an objective basis for judgment, this embodiment avoids the errors of traditional subjective perception by passengers and visual inspection. The preset acceleration threshold is determined based on a large number of experiments and acceleration data of tires under normal driving conditions, which is scientific and objective, making the judgment process more accurate.

[0061] In a specific implementation, the number of acceleration data whose values ​​are less than the preset dynamic balance single threshold value among the preset number of acceleration data in each target direction is counted; the ratio of the counted number to the preset number is determined; the ratio is compared with the preset dynamic balance overall threshold value; if the ratio is greater than the preset dynamic balance overall threshold value, the dynamic balance of the tire on the target wheel is determined to be normal; otherwise, the dynamic balance of the tire on the target wheel is determined to be abnormal. It can be understood that during the working process of the wheel, it is not in an ideal stress-free environment, so a certain error margin should be left for the counted data, and the dynamic balance of the tire on the target wheel can only be determined to be normal when the ratio is greater than the preset dynamic balance overall threshold value; otherwise, the dynamic balance of the tire on the target wheel is determined to be abnormal.

[0062] Step S13: Determine whether there is any abnormal dynamic balance event on the tire of the target wheel based on the comparison result.

[0063] In this embodiment, it is comprehensively judged whether there is an abnormal dynamic balance event on the tire of the target wheel based on the comparison result, so as to accurately identify the dynamic balance problem of the tire. It can accurately locate the abnormal dynamic balance of the tire, change the situation that it is difficult to judge the specific type of tire problem in the traditional way, reduce misjudgment, and reduce maintenance costs and time costs. At the same time, because the judgment process is based on objective data, there is a unified judgment standard, which improves the accuracy and timeliness of tire problem discovery.

[0064] like Figure 4As shown, the flowchart used in the specific implementation of the present application calls the acceleration sensor in the TPMS sensor in the vehicle, locates the tire directly above each time the TPMS sensor is awakened in the startup mode, and samples the three-axis acceleration. The sampling results use the sliding window algorithm to take 5 samples, calculate the standard deviation of these 5 samples, and the TPMS sensor installed for the first time will record the average standard deviation of the entire startup mode sampling as the stability threshold, where the number of samples can be adjusted. After that, each time the vehicle starts the mode, the sampling and sample standard deviation are calculated. If this standard deviation is less than the threshold, the tire dynamic balance is determined to be stable. Because there is a problem with the dynamic balance of the tire or the tire is worn, sampling abnormalities will continue to occur, and sampling abnormalities will also occur briefly when passing through speed bumps and bumpy roads. Therefore, during a startup process, if the proportion of the number of data representing normality to the total number of samples is greater than the preset dynamic balance overall threshold, the tire dynamic balance on the target wheel is determined to be normal and the sampling is normal. If the sampling is normal during the sampling process, it is determined that the dynamic balance is normal and the sampling is terminated in advance; if the sampling is abnormal, it is determined that the dynamic balance is abnormal, and continuous sampling is performed until the startup mode sampling is completed. After the start-up mode ends, the TPMS sensor will record the results of the dynamic balancing test, which can be sent to the TPMS receiving system on the vehicle via a high-frequency signal, or recorded in an external detection device.

[0065] It can be seen that the present application triggers the sensor call instruction when the target event is monitored, and uses the target acceleration sensor call instruction to initiate a call to the target acceleration sensor pre-set on the target wheel to obtain the target acceleration data collected by the target acceleration sensor; the target acceleration sensor is used to collect the acceleration data in several target directions of the target wheel; obtains each preset acceleration threshold value corresponding to each target direction, and compares the acceleration data in each target direction in the target acceleration data with the corresponding preset acceleration threshold value to obtain a corresponding comparison result; based on the comparison result, it is determined whether the tire on the target wheel has a dynamic balance abnormality event. By using the acceleration sensor included in the TPMS sensor in the existing TPMS to judge the dynamic balance of the tire, during stable operation, the data obtained by the acceleration sensor is consistent with the preset threshold value, and when the tire has a dynamic balance abnormality, the tire vibrates and the acceleration changes significantly. By comparing the sampling with the dynamic balance threshold value, it can be more accurately judged whether the tire is in dynamic balance than based on perception judgment, thereby solving the problem that tire problems are difficult to ensure timely and accurate discovery.

[0066] According to the above embodiment, this embodiment provides a specific solution to provide a solution for the transmission of comparison results, such as Figure 5 As shown, this may include:

[0067] Step S21, when a target event is monitored, a sensor call instruction is triggered, and the sensor call instruction is used to initiate a call to a target acceleration sensor pre-set on a target wheel to obtain target acceleration data collected by the target acceleration sensor; the target acceleration sensor is used to collect acceleration data in several target directions of the target wheel.

[0068] Step S22, obtaining each preset acceleration threshold value corresponding to each target direction, and comparing the acceleration data in each target direction in the target acceleration data with the corresponding preset acceleration threshold value to obtain a corresponding comparison result.

[0069] Step S23: Determine whether there is any abnormal dynamic balance event on the tire of the target wheel based on the comparison result.

[0070] Step S24: Integrate the comparison result and the wheel mark information of the target wheel to obtain target information.

[0071] In this embodiment, the tire dynamic balance comparison result is associated with the corresponding wheel identification to form a complete and traceable information set. The wheel identification information can clearly indicate which specific wheel the comparison result corresponds to, providing a key positioning basis for subsequent information processing and troubleshooting.

[0072] Step S25: Use the local preset storage space to store the target information.

[0073] In this embodiment, a storage space is set up locally in the vehicle to temporarily store target information, which provides a buffer for further processing and transmission of the information. On the one hand, when information transmission fails or the preset instrument and equipment cannot receive information temporarily, local storage can prevent information loss; on the other hand, it is convenient to accumulate and analyze the detection information over a period of time, providing data support for the long-term maintenance of the vehicle.

[0074] Step S26: transmitting the target information stored in the local preset storage space to the preset instrument and equipment through a first signal that meets the preset high-frequency condition; wherein the preset instrument and equipment is equipped with a display for displaying the target information.

[0075] In this embodiment, the high-frequency signal has the characteristics of fast transmission speed and high efficiency, and can quickly transmit a large amount of information to the preset instrument and equipment, and the display on the preset instrument and equipment presents this information in a visual manner for user viewing.

[0076] In a specific implementation, the external detection device, as a preset instrument, needs to first send an information request through a second signal that meets the preset low-frequency condition; if the system applying the method of this embodiment receives a request signal, it triggers the step of transmitting the target information stored in the local preset storage space to the preset instrument through a first signal that meets the preset high-frequency condition.

[0077] In this embodiment, the vehicle tire dynamic balance detection information does not need to be acquired by the external device at all times. When there is no external request, the system does not need to continuously prepare high-frequency signal transmission, avoiding unnecessary power consumption and hardware resource occupation. At the same time, the low-frequency request signal serves as a simple access verification mechanism. Only external devices that send low-frequency request signals with the correct format and content can trigger the system to send tire dynamic balance detection information. This prevents unauthorized devices from obtaining sensitive vehicle information to a certain extent, and enhances the security of vehicle information.

[0078] Among them, the specific implementation process of steps S21, S22 and S23 can refer to the corresponding content disclosed in the aforementioned embodiments, and will not be repeated here.

[0079] It can be seen that, by integrating the comparison results and the wheel marking information of the target wheel, the system can clearly match the tire dynamic balance test results with specific wheels, avoiding confusion. In the complex situation of multiple tires on a vehicle, accurate wheel positioning helps to quickly and accurately determine the problem, improve maintenance efficiency, and reduce unnecessary inspection and troubleshooting. The use of local preset storage space to store target information enhances the stability and reliability of the system. Even in a complex vehicle environment, in the face of communication interruption, equipment busyness, etc., the locally stored information can still be saved, ensuring the integrity of the tire dynamic balance test information. At the same time, the long-term accumulated data helps to discover the potential problem trend of vehicle tires and provide a basis for preventive maintenance. The target information stored in the local preset storage space is transmitted to the preset instrument and equipment through the first signal that meets the preset high-frequency condition to achieve efficient transmission and intuitive display of information. Maintenance personnel can clearly see which wheel has a dynamic balance problem and the specific abnormal situation on the preset instrument and equipment without complicated operations, greatly improving maintenance efficiency and user experience. At the same time, the use of high-frequency signals ensures the timeliness of information transmission and ensures that problems can be handled in a timely manner.

[0080] Accordingly, see Figure 6 As shown, the embodiment of the present application also provides a tire dynamic balance detection device, which may include:

[0081] The sampling module 11 is used to trigger a sensor call instruction when a target event is detected, and use the sensor call instruction to initiate a call to a target acceleration sensor pre-set on a target wheel to obtain target acceleration data collected by the target acceleration sensor; the target acceleration sensor is used to collect acceleration data of the target wheel in several target directions;

[0082] A comparison module 12 is used to obtain each preset acceleration threshold value corresponding to each target direction, and compare the acceleration data in each target direction in the target acceleration data with the corresponding preset acceleration threshold value to obtain a corresponding comparison result;

[0083] The judgment module 13 is used to determine whether there is an abnormal dynamic balance event on the tire of the target wheel based on the comparison result.

[0084] It can be seen that the present application triggers the sensor call instruction when the target event is monitored, and uses the target acceleration sensor call instruction to initiate a call to the target acceleration sensor pre-set on the target wheel to obtain the target acceleration data collected by the target acceleration sensor; the target acceleration sensor is used to collect the acceleration data in several target directions of the target wheel; obtains each preset acceleration threshold value corresponding to each target direction, and compares the acceleration data in each target direction in the target acceleration data with the corresponding preset acceleration threshold value to obtain a corresponding comparison result; based on the comparison result, it is determined whether the tire on the target wheel has a dynamic balance abnormality event. By using the acceleration sensor included in the TPMS sensor in the existing TPMS to judge the dynamic balance of the tire, when running smoothly, the data obtained by the acceleration sensor is consistent with the preset threshold value, and when the tire has a dynamic balance abnormality, the tire vibrates and the acceleration changes significantly. By comparing the sampling with the dynamic balance threshold value, it can be more accurately judged whether the tire is in dynamic balance than based on perception judgment, thereby solving the problem that tire problems are difficult to ensure timely and accurate discovery.

[0085] In some specific implementations, the tire dynamic balance detection device further includes:

[0086] An information integration module 21, used for integrating the comparison result and the wheel mark information of the target wheel to obtain target information;

[0087] The information storage module 22 is used to store the target information using a local preset storage space;

[0088] An information transmission module 23 is used to transmit the target information stored in the local preset storage space to a preset instrument and equipment through a first signal that meets a preset high-frequency condition; wherein the preset instrument and equipment is equipped with a display for displaying the target information;

[0089] A monitoring module 24, configured to monitor whether an information request sent by the preset instrument and equipment through a second signal satisfying a preset low-frequency condition is received;

[0090] The trigger module 25 is used to trigger the corresponding working process of the monitoring module if the request signal is received.

[0091] In some specific embodiments, the sampling module 11 includes:

[0092] A sampling unit, used to obtain a preset number of acceleration data newly collected by the target acceleration sensor;

[0093] A standard deviation determination unit, used to determine the standard deviation corresponding to the preset number of acceleration data, and determine whether the standard deviation is greater than a preset standard deviation threshold;

[0094] A data locking unit is used to determine the target acceleration data based on the preset number of acceleration data when the standard deviation is less than or equal to the preset standard deviation threshold, and to jump again to the step of obtaining the preset number of acceleration data most recently collected by the target acceleration sensor when the standard deviation is greater than the preset standard deviation threshold.

[0095] In some specific implementations, the comparison module 12 includes:

[0096] A quantity counting unit, used for counting the number of acceleration data whose values ​​are less than a preset dynamic balancing single threshold value among the preset number of acceleration data;

[0097] A ratio determination unit, used to determine the ratio of the counted number to the preset number;

[0098] a comparison unit, for comparing the ratio with a preset dynamic balance overall threshold;

[0099] The determination unit is configured to determine that the dynamic balance of the tire on the target wheel is normal if the ratio is greater than the preset dynamic balance overall threshold; otherwise, determine that the dynamic balance of the tire on the target wheel is abnormal.

[0100] In some specific embodiments, the standard deviation determining unit includes:

[0101] A filtering subunit, used for selecting a low-pass filtering method or a Kalman filtering method, and filtering the acceleration data using the initialized filtering parameters, so as to process the acceleration data point by point and store the filtering results of the acceleration data; wherein the low-pass filtering method and the Kalman filtering method correspond to different filtering parameters;

[0102] The standard deviation determining subunit is used to determine the variance of the acceleration data based on the filtering result, and determine the standard deviation of the acceleration data based on the variance.

[0103] Furthermore, the present application also discloses an electronic device. Figure 7 : is a structural diagram of an electronic device 20 according to an exemplary embodiment, and the content in the figure cannot be regarded as any limitation on the scope of use of this application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in a tire dynamic balance detection method disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0104] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0105] In addition, the memory 22, as a carrier for storing resources, can be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon can include an operating system 221, a computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0106] The operating system 221 is used to manage and control the hardware devices and computer program 222 on the electronic device 20, and can be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program that can be used to complete a tire dynamic balance detection method performed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include a computer program that can be used to complete other specific tasks.

[0107] Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein the computer program, when executed by a processor, implements a tire dynamic balance detection method disclosed above. The specific steps of the method can refer to the corresponding contents disclosed in the above embodiments, and will not be repeated here.

[0108] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0109] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0110] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0111] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0112] The technical solution provided by the present application is introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for general technicians in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A tire dynamic balance detection method, characterized in that: include: When a target event is detected, a sensor call instruction is triggered, and the sensor call instruction is used to initiate a call to a target acceleration sensor pre-set on a target wheel to obtain target acceleration data collected by the target acceleration sensor; the target acceleration sensor is used to collect acceleration data in several target directions of the target wheel; Acquire each preset acceleration threshold value corresponding to each of the target directions, and compare the acceleration data in each of the target directions in the target acceleration data with the corresponding preset acceleration threshold value to obtain a corresponding comparison result; It is determined whether there is an abnormal dynamic balance event on the tire of the target wheel based on the comparison result.

2. The tire dynamic balance detection method according to claim 1, characterized in that: Also includes: Integrating the comparison result and the wheel marking information of the target wheel to obtain target information; Using a local preset storage space to store the target information; The target information stored in the local preset storage space is transmitted to a preset instrument and equipment through a first signal that meets a preset high-frequency condition; wherein the preset instrument and equipment is provided with a display for displaying the target information.

3. The tire dynamic balance detection method according to claim 2, characterized in that: Before transmitting the first information stored in the local preset storage space to the preset instrument and equipment through the first signal meeting the preset high frequency condition, the method further includes: monitoring whether an information request sent by the preset instrument and equipment through a second signal that meets a preset low-frequency condition is received; If the request signal is received, the step of transmitting the target information stored in the local preset storage space to the preset instrument and equipment via the first signal satisfying the preset high-frequency condition is triggered.

4. The tire dynamic balance detection method according to any one of claims 1 to 3, characterized in that: The acquiring the target acceleration data collected by the target acceleration sensor comprises: Obtaining a preset number of acceleration data most recently collected by the target acceleration sensor; Determine the standard deviation corresponding to the preset number of acceleration data, and determine whether the standard deviation is greater than a preset standard deviation threshold; When the standard deviation is less than or equal to the preset standard deviation threshold, the target acceleration data is determined based on the preset number of acceleration data; when the standard deviation is greater than the preset standard deviation threshold, the process jumps again to the step of obtaining the preset number of acceleration data most recently collected by the target acceleration sensor.

5. The tire dynamic balance detection method according to claim 4, characterized in that: Also includes: Counting the number of acceleration data whose values ​​are less than a preset dynamic balancing single threshold value among the preset number of acceleration data; Determine the ratio of the counted number to the preset number; comparing the ratio to a preset dynamic balancing overall threshold; If the ratio is greater than the preset dynamic balance overall threshold, it is determined that the dynamic balance of the tire on the target wheel is normal; otherwise, it is determined that the dynamic balance of the tire on the target wheel is abnormal.

6. The tire dynamic balance detection method according to claim 4, characterized in that: The determining the standard deviation corresponding to the preset number of acceleration data includes: Selecting a low-pass filtering method or a Kalman filtering method, and filtering the acceleration data using the initialized filtering parameters, so as to process the acceleration data point by point and store the filtering results of the acceleration data; wherein the low-pass filtering method and the Kalman filtering method correspond to different filtering parameters; A variance of the acceleration data is determined based on the filtering result, and a standard deviation of the acceleration data is determined based on the variance.

7. A tire dynamic balance detection device, characterized in that: include: A sampling module, for triggering a sensor call instruction when a target event is detected, and using the sensor call instruction to initiate a call to a target acceleration sensor pre-set on a target wheel to obtain target acceleration data collected by the target acceleration sensor; the target acceleration sensor is used to collect acceleration data in several target directions of the target wheel; A comparison module, used for acquiring each preset acceleration threshold value corresponding to each of the target directions, and comparing the acceleration data in each of the target directions in the target acceleration data with the corresponding preset acceleration threshold value to obtain a corresponding comparison result; The judgment module is used to determine whether there is an abnormal dynamic balance event on the tire of the target wheel based on the comparison result.

8. The tire dynamic balance detection device according to claim 7, characterized in that: Also includes: An information integration module, used for integrating the comparison result and the wheel mark information of the target wheel to obtain target information; An information storage module, used to store the target information using a local preset storage space; An information transmission module, used to transmit the target information stored in the local preset storage space to a preset instrument and equipment through a first signal that meets a preset high-frequency condition; wherein the preset instrument and equipment is equipped with a display for displaying the target information; A monitoring module, used for monitoring whether an information request sent by the preset instrument and equipment through a second signal meeting a preset low-frequency condition is received; The trigger module is used to trigger the corresponding working process of the monitoring module if the request signal is received.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the tire dynamic balance detection method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: Used to store a computer program; wherein, when the computer program is executed by a processor, the tire dynamic balance detection method according to any one of claims 1 to 6 is implemented.

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