Vehicle tire burst remote monitoring method and device, vehicle-mounted terminal and vehicle

Abstract

The invention provides a vehicle tire burst remote monitoring method and device, a vehicle-mounted terminal and a vehicle, and the method comprises the steps: extracting vehicle speed and tire pressure values through unit time intervals in a preset time period, forming an initial vehicle parameter sequence, and capturing the dynamic change in the vehicle driving process; rich data basis is provided for subsequent time sequence analysis, time sequence analysis is carried out based on the data, the risk moment can be marked more accurately, and therefore the accuracy of tire burst prediction is improved, the tire burst risk possibly existing in the vehicle driving process can be found in time by marking the risk moment and obtaining the vehicle state data, and the tire burst prediction accuracy is improved. According to the method, a driver can conveniently take prevention measures before risks occur, accidents are avoided, the tire burst influence factors are set in the vehicle state data, the tire burst probability is output based on the factors in a fitting mode, various factors possibly influencing tire burst can be comprehensively considered, the tire burst prediction accuracy is improved, and more comprehensive tire burst risk assessment is obtained.

Description

Technical Field

[0001] The present invention relates to the field of automobile safety technology, and in particular to a method and device for remotely monitoring a tire blowout of a vehicle, a vehicle-mounted terminal and a vehicle. Background Art

[0002] Although mainstream vehicles on the market are generally equipped with tire monitoring systems, tire monitoring systems generally provide basic tire pressure monitoring and abnormal prompt functions through pre-set tire pressure thresholds.

[0003] In actual driving, vehicles will face a variety of road conditions and driving scenarios, such as high-speed driving, urban congestion, and rugged mountain roads. These different scenarios will cause different pressures and wear on tires, and traditional tire monitoring systems often cannot accurately identify these differences and make corresponding adjustments. For example, when driving at high speeds, the air pressure of the tire may rise slightly due to the increase in temperature, while when driving on cold mountain roads, the air pressure may drop due to the decrease in temperature. Therefore, the judgment method of the traditional tire monitoring system is relatively single. If it only relies on the preset threshold for judgment, it may misreport or miss the abnormal status of the tire. In addition, the traditional tire monitoring system is also unable to monitor the temperature changes of the tire and other factors that may affect the performance of the tire in real time, resulting in the driver's inability to fully understand the actual condition of the tire. Summary of the invention

[0004] The present application provides a vehicle tire blowout remote monitoring method, device, vehicle-mounted terminal and vehicle to solve the above technical problems.

[0005] A remote monitoring method for a vehicle tire blowout is provided in an embodiment of the present application, the method comprising: obtaining an initial vehicle parameter sequence, the initial vehicle parameter sequence comprising instantaneous vehicle speeds at multiple moments and instantaneous tire pressure values ​​at each moment; marking risk moments from the multiple moments based on the instantaneous vehicle speeds and the instantaneous tire pressure values, and obtaining vehicle status data at the risk moments; fitting based on the vehicle status data and a tire blowout influencing factor set in advance or in real time, and outputting a tire blowout probability; when the tire blowout probability is greater than a preset tire blowout probability threshold, generating tire blowout risk warning information, and pushing the tire blowout risk warning information to a target terminal.

[0006] In one embodiment of the present application, based on the instantaneous vehicle speed and the instantaneous tire pressure value, risk moments are marked from the multiple moments, including: if all instantaneous vehicle speeds in the initial vehicle parameter sequence are greater than a preset vehicle speed threshold, and the instantaneous tire pressure value at any moment is greater than the preset tire pressure value, then the instantaneous tire pressure value greater than the preset tire pressure value is extracted from the initial vehicle parameter sequence to obtain an abnormal instantaneous tire pressure value sequence, and the remaining instantaneous tire pressure values ​​are combined into a target vehicle parameter sequence; the difference between each instantaneous tire pressure value in the abnormal instantaneous tire pressure value sequence and each instantaneous tire pressure value in the target vehicle parameter sequence is calculated to obtain a tire pressure difference value sequence; the tire pressure difference value sequence is traversed, and if there is a tire pressure difference value greater than a preset tire pressure change value in the tire pressure difference value sequence, then the corresponding instantaneous tire pressure value is selected from the abnormal instantaneous tire pressure value sequence, recorded as a risky instantaneous tire pressure value, and the time point corresponding to the risky abnormal instantaneous tire pressure value is determined as the risky moment.

[0007] In one embodiment of the present application, before fitting based on the vehicle state data and the tire blowout influence factor set in advance or in real time, the method also includes: determining the vehicle driving state according to the vehicle state data, the vehicle driving state including a low-temperature stable driving state, a low-temperature speed-changing driving state, a high-temperature stable driving state and a high-temperature speed-changing driving state; and setting the tire blowout influence factor for the driving parameters in the vehicle state data according to the vehicle driving state.

[0008] In one embodiment of the present application, if the vehicle state data includes vehicle acceleration, ambient temperature, wheel hub specification and tire temperature, determining the vehicle driving state according to the vehicle state data includes: when the absolute value of the vehicle acceleration is greater than the first acceleration and less than the second acceleration, the ambient temperature is greater than the first preset ambient temperature and less than the second preset ambient temperature, and the tire temperature is greater than the first preset tire temperature and less than the second preset tire temperature, then determining that the current vehicle driving state is a low-temperature stable driving state; when the absolute value of the vehicle acceleration is greater than the second acceleration, the ambient temperature is greater than the first preset ambient temperature and less than the second preset ambient temperature, and the tire temperature is greater than the first preset tire temperature and less than the second preset tire temperature, then determining that the current vehicle driving state is a low-temperature speed-changing driving state; when the absolute value of the vehicle acceleration is greater than the first acceleration and less than the second acceleration, the ambient temperature is greater than the second preset ambient temperature, and the tire temperature is greater than the second preset tire temperature, then determining that the current vehicle driving state is a high-temperature stable driving state; when the absolute value of the vehicle acceleration is greater than the second acceleration, the ambient temperature is greater than the second preset temperature, and the tire temperature is greater than the second preset tire temperature, then determining that the current vehicle driving state is a high-temperature speed-changing driving state.

[0009] In one embodiment of the present application, a tire blowout influence factor is set for the driving parameters in the vehicle state data according to the vehicle driving state, including: in the low-temperature stable driving state, respectively setting tire blowout influence factors for the vehicle state data in the low-temperature stable driving state to obtain a first group of tire blowout influence factors; in the low-temperature speed-changing driving state, respectively setting tire blowout influence factors for the vehicle state data in the low-temperature speed-changing driving state to obtain a second group of tire blowout influence factors; in the high-temperature stable driving state, respectively setting tire blowout influence factors for the vehicle state data in the high-temperature stable driving state to obtain a third group of tire blowout influence factors; in the high-temperature speed-changing driving state, respectively setting tire blowout influence factors for the vehicle state data in the high-temperature speed-changing driving state to obtain a fourth group of tire blowout influence factors; wherein the first group of tire blowout influence factors, the second group of tire blowout influence factors, the third group of tire blowout influence factors and the fourth group of tire blowout influence factors are different groups of tire blowout influence factors.

[0010] In one embodiment of the present application, based on the vehicle state data, the tire blowout influencing factors corresponding to the vehicle state data are fitted and the tire blowout probability is output, including: in the low-temperature stable driving state, the tire blowout probability is fitted and output based on the first group of tire blowout influencing factors to obtain a first tire blowout probability; in the low-temperature speed-changing driving state, the tire blowout probability is fitted and output based on the second group of tire blowout influencing factors to obtain a second tire blowout probability; in the high-temperature stable driving state, the tire blowout probability is fitted and output based on the third group of tire blowout influencing factors to obtain a third tire blowout probability; in the high-temperature speed-changing driving state, the tire blowout probability is fitted and output based on the fourth group of tire blowout influencing factors to obtain a fourth tire blowout probability; wherein, the first tire blowout probability, the second tire blowout probability, the third tire blowout probability, and the fourth tire blowout probability are different tire blowout probabilities.

[0011] In one embodiment of the present application, after pushing the tire blowout risk warning information to the target terminal, it also includes: parsing the tire blowout risk warning information by the target terminal to obtain a tire blowout influencing factor; generating a tire blowout handling measure based on the tire blowout influencing factor, and pushing the tire blowout handling measure to the vehicle-mounted terminal.

[0012] The embodiment of the present application provides a remote monitoring device for a vehicle tire blowout, and the device includes: a vehicle parameter acquisition module, which is used to acquire an initial vehicle parameter sequence, wherein the initial vehicle parameter sequence includes instantaneous vehicle speeds at multiple moments and instantaneous tire pressure values ​​at each moment; a risk moment marking module, which is used to mark risk moments from the multiple moments based on the instantaneous vehicle speeds and the instantaneous tire pressure values, and acquire vehicle status data at the risk moments; a tire blowout influencing factor setting module, which is used to perform fitting based on the vehicle status data and a tire blowout influencing factor set in advance or in real time, and output a tire blowout probability; and a risk warning module, which is used to generate tire blowout risk warning information when the tire blowout probability is greater than a preset tire blowout probability threshold, and push the tire blowout risk warning information to a target terminal.

[0013] An embodiment of the present application provides a vehicle-mounted terminal, including a processor, a memory and a communication bus; the communication bus is used to connect the processor and the memory; the processor is used to execute a computer program stored in the memory to implement the above-mentioned vehicle tire blowout remote monitoring method.

[0014] The beneficial effects of the present application are as follows: the present invention extracts vehicle speed and tire pressure values ​​at unit time intervals within a preset time period to form an initial vehicle parameter sequence, which can capture dynamic changes in the vehicle driving process and provide a rich data basis for subsequent time series analysis. Time series analysis based on the above data can more accurately mark risk moments, thereby improving the accuracy of tire blowout prediction. By marking risk moments and obtaining vehicle status data, the risk of tire blowout that may exist during vehicle driving can be discovered in time, which is convenient for the driver to take preventive measures before the risk occurs to avoid accidents. Tire blowout influencing factors are set in the vehicle status data, and the tire blowout probability is output based on these factors. Various factors that may affect tire blowout can be comprehensively considered, the accuracy of tire blowout prediction can be improved, and a more comprehensive tire blowout risk assessment can be obtained.

[0015] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0017] Figure 1 is a flow chart of a vehicle tire blowout remote monitoring method shown in an exemplary embodiment of the present application;

[0018] Figure 2 is a block diagram of a remote monitoring device for a vehicle tire blowout shown in an exemplary embodiment of the present application;

[0019] Figure 3 It is a structural schematic diagram of a vehicle-mounted terminal shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0020] The following will describe the implementation methods of the present application with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific implementation methods, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, not for limiting the scope of protection of the present application.

[0021] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application, and thus the drawings only show components related to the present application rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed at will, and the component layout may also be more complicated.

[0022] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present application. However, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present application difficult to understand.

[0023] The embodiments of the present application respectively provide a vehicle tire blowout remote monitoring method, a vehicle tire blowout remote monitoring device, and a vehicle-mounted terminal, and these embodiments will be described in detail below.

[0024] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of a remote monitoring method for a vehicle tire blowout according to an embodiment of the present application. Figure 1 As shown, the method at least includes steps S110 to S140, which are described in detail as follows:

[0025] Step S110, obtaining an initial vehicle parameter sequence, the initial vehicle parameter sequence including instantaneous vehicle speeds at multiple moments and instantaneous tire pressure values ​​at each moment;

[0026] In one embodiment of the present application, obtaining an initial vehicle parameter sequence includes extracting vehicle parameters corresponding to all time points in a preset time period at unit time intervals within a preset time period to obtain an initial vehicle parameter sequence, wherein the initial vehicle parameter sequence includes the vehicle speed at each time point, recorded as the instantaneous vehicle speed, and the tire pressure value at each time point, recorded as the instantaneous tire pressure value.

[0027] In one embodiment of the present application, taking a small vehicle as an example, the preset time period is 5 minutes, and the vehicle parameters corresponding to all time points in the preset time period are extracted at unit time intervals, and the vehicle parameters are extracted at 1 minute intervals to obtain the initial vehicle parameter sequence {60 km / h-180 kPa, 80 km / h-200 kPa, 90 km / h-215 kPa, 100 km / h-220 kPa, 120 km / h-235 kPa}.

[0028] In one embodiment of the present application, within a preset time period, vehicle parameters corresponding to all time points in the preset time period are extracted at unit time intervals to obtain an initial vehicle parameter sequence, specifically including, after collecting the vehicle parameters corresponding to all time points in the preset time period, preprocessing the collected vehicle parameters, i.e., noise reduction and convergence, removing invalid values ​​or abnormal extreme values ​​generated during vehicle power-on and power-off moments, vehicle network communication anomalies, OTA (Over-the-Air upgrade, vehicle function upgrade technology) upgrade process and OBD (On-Board Diagnostic, vehicle diagnostic system) diagnosis occupancy, to obtain an initial vehicle parameter sequence.

[0029] Step S120, based on the instantaneous vehicle speed and the instantaneous tire pressure value, mark the risk moment from multiple moments, and obtain the vehicle status data at the risk moment.

[0030] Time series analysis can accurately identify abnormal changes in vehicle speed and tire pressure, thereby accurately marking risky moments. By analyzing the vehicle status data at risky moments, drivers can understand the problems in their driving habits.

[0031] Step S130 , performing fitting based on the vehicle state data and the tire blowout influencing factors set in advance or in real time, and outputting the tire blowout probability.

[0032] Step S140: When the tire blowout probability is greater than a preset tire blowout probability threshold, tire blowout risk warning information is generated and pushed to a target terminal.

[0033] exist Figure 1In the technical solution shown, by extracting the vehicle speed and tire pressure values ​​at unit time intervals within a preset time period to form an initial vehicle parameter sequence, the dynamic changes during vehicle driving can be captured, providing a rich data basis for subsequent time series analysis. Time series analysis based on the above data can more accurately mark risk moments, thereby improving the accuracy of tire blowout prediction. By marking risk moments and obtaining vehicle status data, the risk of tire blowout that may exist during vehicle driving can be discovered in time, which is convenient for the driver to take preventive measures before the risk occurs to avoid accidents. Tire blowout influencing factors are set in the vehicle status data, and the tire blowout probability is output based on these factors. It can comprehensively consider various factors that may affect tire blowout, improve the accuracy of tire blowout prediction, and obtain a more comprehensive tire blowout risk assessment.

[0034] In one embodiment of the present application, risk moments are marked from multiple moments based on instantaneous vehicle speeds and instantaneous tire pressure values, including: if all instantaneous vehicle speeds in the initial vehicle parameter sequence are greater than a preset vehicle speed threshold, and the instantaneous tire pressure value at any moment is greater than the preset tire pressure value, then the instantaneous tire pressure value greater than the preset tire pressure value is extracted from the initial vehicle parameter sequence to obtain an abnormal instantaneous tire pressure value sequence, and the remaining instantaneous tire pressure values ​​are combined into a target vehicle parameter sequence; the difference between each instantaneous tire pressure value in the abnormal instantaneous tire pressure value sequence and each instantaneous tire pressure value in the target vehicle parameter sequence is calculated to obtain a tire pressure difference value sequence; the tire pressure difference value sequence is traversed, and if there is a tire pressure difference value greater than the preset tire pressure change value in the tire pressure difference value sequence, then the corresponding instantaneous tire pressure value is selected from the abnormal instantaneous tire pressure value sequence, recorded as the risky instantaneous tire pressure value, and the time point corresponding to the risky abnormal instantaneous tire pressure value is determined as the risky moment. By monitoring and analyzing vehicle parameters, abnormal situations can be discovered in a timely manner. By extracting the abnormal instantaneous tire pressure value sequence and calculating the tire pressure difference between it and other time points in the target vehicle parameter sequence, the specific time point of the abnormal tire pressure can be accurately located, providing a clear direction for subsequent fault diagnosis and maintenance.

[0035] As an example, the preset vehicle speed threshold is 10 km / h, the preset tire pressure value is 220 kPa, and the tire pressure change value is 50 kPa; the tire pressure value inside the wheel is detected by the tire pressure sensor inside the wheel, and the vehicle speed is collected to obtain an initial vehicle parameter sequence, for example, the initial vehicle parameter sequence is {60 km / h-180 kPa, 80 km / h-200 kPa, 90 km / h-215 kPa, 100 km / h-220 kPa, 120 km / h-235 kPa}, and the instantaneous tire pressure value greater than the preset tire pressure value is extracted from the initial vehicle parameter sequence, which is recorded as the abnormal instantaneous tire pressure value sequence, that is, the abnormal instantaneous tire pressure value sequence is 235 kPa, and the abnormal instantaneous tire pressure value sequence is extracted. The remaining instantaneous tire pressure values ​​are combined into a target vehicle parameter sequence, that is, the target vehicle parameter sequence is {60 km / h-180 kPa, 80 km / h-200 kPa, 90 km / h-215 kPa, 100 km / h-220 kPa}, and the difference between the abnormal instantaneous tire pressure value sequence and the instantaneous tire pressure value at each time point in the target vehicle parameter sequence is calculated to obtain a tire pressure difference sequence. For example, the tire pressure difference sequence is {55 kPa, 35 kPa, 20 kPa, 15 kPa}, and the tire pressure difference sequence is traversed. Since the tire pressure difference sequence has a tire pressure difference of 55 kPa that is greater than the preset tire pressure change value "50 kPa", the time point corresponding to the abnormal instantaneous tire pressure sequence is determined as the risk moment. By monitoring and analyzing vehicle parameters, abnormal situations can be discovered in a timely manner. By extracting the abnormal instantaneous tire pressure value sequence and calculating the tire pressure difference between it and other time points in the target vehicle parameter sequence, the specific time point of the abnormal tire pressure can be accurately located, providing a clear direction for subsequent fault diagnosis and maintenance.

[0036] As another example, the preset vehicle speed threshold is 10 km / h, the preset tire pressure value is 220 kPa, and the tire pressure change value is 50 kPa; the tire pressure value inside the wheel is detected by the tire pressure sensor inside the wheel, and the vehicle speed is collected to obtain an initial vehicle parameter sequence, for example, the initial vehicle parameter sequence is {60 km / h-180 kPa, 80 km / h-200 kPa, 100 km / h-220 kPa, 120 km / h-235 kPa, 130 km / h-245 kPa}, and the instantaneous tire pressure value greater than the preset tire pressure value is extracted from the initial vehicle parameter sequence, which is recorded as the abnormal instantaneous tire pressure value sequence, that is, the abnormal instantaneous tire pressure value sequence is 235 kPa and 245 kPa, and the remaining instantaneous tire pressure values ​​are combined into a target vehicle parameter sequence, and the difference between the abnormal instantaneous tire pressure value sequence and the instantaneous tire pressure value at each time point in the target vehicle parameter sequence is calculated to obtain a tire pressure difference value sequence. First, the abnormal instantaneous tire pressure value sequence is eliminated, and the target vehicle parameter sequence is obtained as {60 km / h-180 kPa, 80 km / h-200 kPa, 100 km / h-220 kPa}. The abnormal instantaneous tire pressure value sequence is calculated as the average of 235 kPa and 245 kPa, and the instantaneous tire pressure value to be compared is 240 kPa. The difference between the abnormal instantaneous tire pressure value sequence and the instantaneous tire pressure value at each time point in the target vehicle parameter sequence is calculated. , the tire pressure difference sequence is obtained, that is, the tire pressure difference sequence is {60 kPa, 40 kPa, 20 kPa}, and the tire pressure difference sequence is traversed. Since the tire pressure difference sequence has a tire pressure difference of 60 kPa that is greater than the preset tire pressure change value "50 kPa", the time point corresponding to the abnormal instantaneous tire pressure value sequence is determined as the risk time, that is, the risk time is the time point corresponding to the vehicle parameter 130 km / h-245 kPa and the time point corresponding to 120 km / h-235 kPa. By monitoring and analyzing vehicle parameters, abnormal conditions can be discovered in time. By extracting the abnormal instantaneous tire pressure value sequence and calculating the tire pressure difference between it and other time points in the target vehicle parameter sequence, the specific time point of the abnormal tire pressure can be accurately located, providing a clear direction for subsequent fault diagnosis and maintenance.

[0037] In one embodiment of the present application, before fitting based on the vehicle state data and the pre-set or real-time tire blowout influence factor, the method further includes: determining the vehicle driving state according to the vehicle state data, the vehicle driving state includes a low-temperature stable driving state, a low-temperature speed-changing driving state, a high-temperature stable driving state, and a high-temperature speed-changing driving state; and setting the tire blowout influence factor for the driving parameters in the vehicle state data according to the vehicle driving state. By distinguishing different vehicle driving states, a more refined analysis can be performed on the driving parameters in the vehicle state data. This refined analysis can more accurately identify the risk factors that may cause tire blowouts under different driving states. Since the risk factors of tire blowouts of vehicles under different driving states are also different, by setting the tire blowout influence factor, it can better adapt to the tire blowout risk warning requirements under different driving states, and improve the practicality and reliability of the system.

[0038] In one embodiment of the present application, if the vehicle status data includes vehicle acceleration, ambient temperature, wheel hub specifications and tire temperature, determining the vehicle driving state according to the vehicle status data includes: when the absolute value of the vehicle acceleration is greater than the first acceleration and less than the second acceleration, the ambient temperature is greater than the first preset ambient temperature and less than the second preset ambient temperature, and the tire temperature is greater than the first preset tire temperature and less than the second preset tire temperature, then determining that the current vehicle driving state is a low-temperature stable driving state; when the absolute value of the vehicle acceleration is greater than the second acceleration, the ambient temperature is greater than the first preset ambient temperature and less than the second preset ambient temperature, and the tire temperature is greater than the first preset tire temperature and less than the second preset tire temperature, then determining that the current vehicle driving state is a low-temperature speed-changing driving state; when the absolute value of the vehicle acceleration is greater than the first acceleration and less than the second acceleration, the ambient temperature is greater than the second preset ambient temperature, and the tire temperature is greater than the second preset tire temperature, then determining that the current vehicle driving state is a high-temperature stable driving state; when the absolute value of the vehicle acceleration is greater than the second acceleration, the ambient temperature is greater than the second preset temperature, and the tire temperature is greater than the second preset tire temperature, then determining that the current vehicle driving state is a high-temperature speed-changing driving state. By distinguishing different vehicle driving states, a more refined analysis of the driving parameters in the vehicle state data can be performed. This refined analysis can more accurately identify the risk factors that may cause tire blowouts under different driving states.

[0039] As an example, the first acceleration is 0 m / s 2 , the second acceleration is 6m / s 2 , the first preset ambient temperature is 0 degrees Celsius, the second preset ambient temperature is 20 degrees Celsius, the first preset tire temperature is 0 degrees Celsius, the second preset tire temperature is 40 degrees Celsius, when the absolute value of the vehicle acceleration is greater than the first acceleration "0m / s 2 " and less than the second acceleration "6m / s 2", the ambient temperature is greater than the first preset ambient temperature "0 degrees Celsius" and less than the second preset ambient temperature "20 degrees Celsius", the tire temperature is greater than the first preset tire temperature "0 degrees Celsius" and less than the second preset tire temperature "40 degrees Celsius", then it is determined that the current vehicle driving state is a low-temperature stable driving state; when the absolute value of the vehicle acceleration is greater than the second acceleration "6m / s 2 ", the ambient temperature is greater than the first preset ambient temperature "0 degrees Celsius" and less than the second preset ambient temperature "20 degrees Celsius", the tire temperature is greater than the first preset tire temperature "0 degrees Celsius" and less than the second preset tire temperature "40 degrees Celsius", then it is determined that the current vehicle driving state is a low-temperature shift driving state; when the absolute value of the vehicle acceleration is greater than the first acceleration "0m / s 2 " and less than the second acceleration "6m / s 2 ", the ambient temperature is greater than the second preset ambient temperature "20 degrees Celsius", and the tire temperature is greater than the second preset tire temperature "40 degrees Celsius", then it is determined that the current vehicle driving state is a high-temperature stable driving state; when the absolute value of the vehicle acceleration is greater than the second acceleration "6m / s 2 ", the ambient temperature is greater than the second preset temperature "20 degrees Celsius", and the tire temperature is greater than the second preset tire temperature "40 degrees Celsius", then it is determined that the current vehicle driving state is a high-temperature speed change driving state. By distinguishing different vehicle driving states, a more refined analysis of the driving parameters in the vehicle state data can be performed, and this refined analysis can more accurately identify the risk factors that may cause tire blowouts under different driving states.

[0040] In one embodiment of the present application, a tire blowout influence factor is set for a driving parameter in the vehicle state data according to the vehicle driving state, including: in a low-temperature stable driving state, a tire blowout influence factor is set for each vehicle state data in the low-temperature stable driving state to obtain a first group of tire blowout influence factors; in a low-temperature variable speed driving state, a tire blowout influence factor is set for each vehicle state data in the low-temperature variable speed driving state to obtain a second group of tire blowout influence factors; in a high-temperature stable driving state, a tire blowout influence factor is set for each vehicle state data in the high-temperature stable driving state to obtain a third group of tire blowout influence factors; in a high-temperature variable speed driving state, a tire blowout influence factor is set for each vehicle state data in the high-temperature variable speed driving state to obtain a fourth group of tire blowout influence factors; wherein the first group of tire blowout influence factors, the second group of tire blowout influence factors, the third group of tire blowout influence factors and the fourth group of tire blowout influence factors are different groups of tire blowout influence factors. Since the risk factors of tire blowout of a vehicle are different under different driving states, by setting the tire blowout influence factors, it is possible to better adapt to the tire blowout risk warning requirements under different driving states, thereby improving the practicality and reliability of the system.

[0041] In one embodiment of the present application, based on the vehicle state data, the tire blowout influence factor corresponding to the vehicle state data is fitted and the tire blowout probability is output, including: in a low-temperature stable driving state, the tire blowout probability is fitted and output based on the first group of tire blowout influence factors to obtain a first tire blowout probability; in a low-temperature variable speed driving state, the tire blowout probability is fitted and output based on the second group of tire blowout influence factors to obtain a second tire blowout probability; in a high-temperature stable driving state, the tire blowout probability is fitted and output based on the third group of tire blowout influence factors to obtain a third tire blowout probability; in a high-temperature variable speed driving state, the tire blowout probability is fitted and output based on the fourth group of tire blowout influence factors to obtain a fourth tire blowout probability; wherein the first tire blowout probability, the second tire blowout probability, the third tire blowout probability, and the fourth tire blowout probability are different tire blowout probabilities. Since the risk factors of tire blowout of a vehicle are different under different driving conditions, by setting the tire blowout influence factors, it is possible to better adapt to the tire blowout risk warning requirements under different driving conditions, thereby improving the practicality and reliability of the system.

[0042] As an example, the preset tire blowout probability threshold is 0.8. Under the low-temperature stable driving state, tire blowout influence factors are set for the vehicle state data under the low-temperature stable driving state respectively to obtain a first group of tire blowout influence factors, specifically including setting the tire blowout influence factor for vehicle acceleration to 0.1, and setting the tire blowout influence factor for ambient temperature to 0.1. If the wheel hub specification is a standard specification, the tire blowout influence factor for the wheel hub specification is set to 0.15, and the tire temperature is set to 0.2 to obtain the first group of tire blowout influence factors. The first group of tire blowout influence factors are summed to obtain a first tire blowout probability of 0.65. Since the first tire blowout probability "0.65" is less than the preset tire blowout probability threshold "0.8", it is determined that there is no risk of tire blowout.

[0043] As an example, the preset tire blowout probability threshold is 0.8. Under the low-temperature speed-shifting driving state, tire blowout influence factors are set for the vehicle state data under the low-temperature speed-shifting driving state respectively to obtain a second group of tire blowout influence factors, specifically including setting the tire blowout influence factor for vehicle acceleration to 0.2, and setting the tire blowout influence factor for ambient temperature to 0.1. If the wheel hub specification is a standard specification, the tire blowout influence factor for the wheel hub specification is set to 0.15, and the tire temperature is set to 0.2 to obtain the second group of tire blowout influence factors. The first group of tire blowout influence factors are summed to obtain a second tire blowout probability of 0.75. Since the first tire blowout probability "0.75" is less than the preset tire blowout probability threshold "0.8", it is determined that there is no risk of tire blowout.

[0044] As an example, the preset tire blowout probability threshold is 0.8. Under high-temperature stable driving conditions, tire blowout influence factors are set for the vehicle state data under high-temperature stable driving conditions to obtain a third group of tire blowout influence factors, specifically including setting the tire blowout influence factor for vehicle acceleration to 0.1, and setting the tire blowout influence factor for ambient temperature to 0.2. If the wheel hub specification is a standard specification, the tire blowout influence factor for the wheel hub specification is set to 0.15, and the tire temperature is set to 0.3 to obtain a second group of tire blowout influence factors. The first group of tire blowout influence factors are summed to obtain a second tire blowout probability of 0.75. Since the first tire blowout probability "0.75" is less than the preset tire blowout probability threshold "0.8", it is determined that there is no risk of tire blowout.

[0045] As an example, the preset tire blowout probability threshold is 0.8. Under the high-temperature speed-changing driving state, the tire blowout influence factors are set for the vehicle state data under the high-temperature stable driving state respectively, and the third group of tire blowout influence factors are obtained, specifically including setting the tire blowout influence factor for vehicle acceleration to 0.2, and setting the tire blowout influence factor for ambient temperature to 0.2. If the wheel hub specification is a standard specification, the tire blowout influence factor for the wheel hub specification is set to 0.15, and the tire temperature is set to 0.3 to obtain the second group of tire blowout influence factors. The first group of tire blowout influence factors are summed to obtain the second tire blowout probability of 0.85. Since the first tire blowout probability "0.85" is greater than the preset tire blowout probability threshold "0.8", it is determined that there is a tire blowout risk.

[0046] In one embodiment of the present application, after pushing the tire blowout risk warning information to the target terminal, it also includes: parsing the tire blowout risk warning information through the target terminal to obtain a tire blowout influencing factor; generating a tire blowout handling measure based on the tire blowout influencing factor, and pushing the tire blowout handling measure to the vehicle-mounted terminal.

[0047] In one embodiment of the present application, tire blowout risk warning information is pushed to a target terminal, which includes a customer management system. 400 customer service care agents accept and query the vehicle SIM card (Subscriber Identity Module) information in the customer management system, and manually call the vehicle terminal. If the call is connected, the user's personal safety is cared for and remote rescue guidance is provided. At the same time, if the user expects to obtain road rescue services, the customer management system sends a rescue order to the rescue management system, and arranges a service vehicle to arrive at the vehicle accident location as soon as possible for rescue; if the call is not connected (if the call is hung up, only one more call is allowed at most), two calls are made; if the call is not connected for two consecutive times, the customer management system sends a caring text message to the owner's mobile phone, and simultaneously pushes service information to the APP (Application).

[0048] Figure 2FIG. 1 is a block diagram of a remote monitoring device for a vehicle tire blowout according to an exemplary embodiment of the present application. Figure 2 As shown, according to an embodiment of the present application, a remote monitoring device 200 for a tire blowout of a vehicle includes: a vehicle parameter acquisition module 210, a risk moment marking module 220, a tire blowout influence factor setting module 230, and a risk prompt module 240. The vehicle parameter acquisition module is used to obtain an initial vehicle parameter sequence, which includes the instantaneous vehicle speed at multiple moments and the instantaneous tire pressure value at each moment; the risk moment marking module is used to mark the risk moment from multiple moments based on the instantaneous vehicle speed and the instantaneous tire pressure value, and obtain the vehicle state data at the risk moment; the tire blowout influence factor setting module is used to fit the vehicle state data and the tire blowout influence factor set in advance or in real time, and output the tire blowout probability; the risk prompt module is used to generate tire blowout risk prompt information when the tire blowout probability is greater than the preset tire blowout probability threshold, and push the tire blowout risk prompt information to the target terminal. By extracting the vehicle speed and tire pressure values ​​at unit time intervals within a preset time period to form an initial vehicle parameter sequence, the dynamic changes during vehicle driving can be captured, providing a rich data basis for subsequent time series analysis. Time series analysis based on the above data can more accurately mark risk moments, thereby improving the accuracy of tire blowout prediction. By marking risk moments and obtaining vehicle status data, the possible tire blowout risks during vehicle driving can be discovered in a timely manner, which is convenient for the driver to take preventive measures before the risk occurs to avoid accidents. Tire blowout influencing factors are set in the vehicle status data, and the tire blowout probability is output based on these factors. It can comprehensively consider a variety of factors that may affect tire blowouts, improve the accuracy of tire blowout predictions, and obtain a more comprehensive tire blowout risk assessment.

[0049] In one embodiment of the present application, the risk moment marking module is used to extract the instantaneous tire pressure value greater than the preset tire pressure value from the initial vehicle parameter sequence if all instantaneous vehicle speeds in the initial vehicle parameter sequence are greater than a preset vehicle speed threshold, and the instantaneous tire pressure value at any moment is greater than the preset tire pressure value, to obtain an abnormal instantaneous tire pressure value sequence, and combine the remaining instantaneous tire pressure values ​​into a target vehicle parameter sequence; calculate the difference between each instantaneous tire pressure value in the abnormal instantaneous tire pressure value sequence and each instantaneous tire pressure value in the target vehicle parameter sequence to obtain a tire pressure difference value sequence; traverse the tire pressure difference value sequence, and if there is a tire pressure difference value greater than the preset tire pressure change value in the tire pressure difference value sequence, select the corresponding instantaneous tire pressure value from the abnormal instantaneous tire pressure value sequence, record it as the risk instantaneous tire pressure value, and determine the time point corresponding to the risk abnormal instantaneous tire pressure value as the risk moment.

[0050] In one embodiment of the present application, a tire blowout influence factor setting module is used to determine a vehicle driving state based on vehicle state data, where the vehicle driving state includes a low-temperature stable driving state, a low-temperature speed-changing driving state, a high-temperature stable driving state, and a high-temperature speed-changing driving state; and a tire blowout influence factor is set for driving parameters in the vehicle state data based on the vehicle driving state.

[0051] In one embodiment of the present application, the tire blowout influence factor setting module is used to determine that the current vehicle driving state is a low-temperature stable driving state when the absolute value of the vehicle acceleration is greater than the first acceleration and less than the second acceleration, the ambient temperature is greater than the first preset ambient temperature and less than the second preset ambient temperature, and the tire temperature is greater than the first preset tire temperature and less than the second preset tire temperature; when the absolute value of the vehicle acceleration is greater than the second acceleration, the ambient temperature is greater than the first preset ambient temperature and less than the second preset ambient temperature, and the tire temperature is greater than the first preset tire temperature and less than the second preset tire temperature, the current vehicle driving state is determined to be a low-temperature variable speed driving state; when the absolute value of the vehicle acceleration is greater than the first acceleration and less than the second acceleration, the ambient temperature is greater than the second preset ambient temperature, and the tire temperature is greater than the second preset tire temperature, the current vehicle driving state is determined to be a high-temperature stable driving state; when the absolute value of the vehicle acceleration is greater than the second acceleration, the ambient temperature is greater than the second preset temperature, and the tire temperature is greater than the second preset tire temperature, the current vehicle driving state is determined to be a high-temperature variable speed driving state.

[0052] In one embodiment of the present application, a tire blowout influence factor setting module is used to set tire blowout influence factors for vehicle status data in a low-temperature stable driving state, to obtain a first group of tire blowout influence factors; to set tire blowout influence factors for vehicle status data in a low-temperature speed-changing driving state, to obtain a second group of tire blowout influence factors; to set tire blowout influence factors for vehicle status data in a high-temperature stable driving state, to obtain a third group of tire blowout influence factors; to set tire blowout influence factors for vehicle status data in a high-temperature speed-changing driving state, to obtain a fourth group of tire blowout influence factors; wherein the first group of tire blowout influence factors, the second group of tire blowout influence factors, the third group of tire blowout influence factors and the fourth group of tire blowout influence factors are different groups of tire blowout influence factors.

[0053] In one embodiment of the present application, a tire blowout influence factor setting module is used to fit and output the tire blowout probability based on the first set of tire blowout influence factors under a low-temperature stable driving state to obtain a first tire blowout probability; fit and output the tire blowout probability based on the second set of tire blowout influence factors under a low-temperature speed-changing driving state to obtain a second tire blowout probability; fit and output the tire blowout probability based on the third set of tire blowout influence factors under a high-temperature stable driving state to obtain a third tire blowout probability; fit and output the tire blowout probability based on the fourth set of tire blowout influence factors under a high-temperature speed-changing driving state to obtain a fourth tire blowout probability; wherein the first tire blowout probability, the second tire blowout probability, the third tire blowout probability, and the fourth tire blowout probability are different tire blowout probabilities.

[0054] In one embodiment of the present application, the risk warning module is used to parse the tire blowout risk warning information through the target terminal to obtain the tire blowout influencing factor; generate the tire blowout handling measures based on the tire blowout influencing factor, and push the tire blowout handling measures to the vehicle-mounted terminal.

[0055] It should be noted that the device provided in the above embodiment and the method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment, and will not be repeated here. In practical applications, the device provided in the above embodiment can distribute the above functions to different functional modules as needed, that is, divide the internal structure of the device into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0056] See also Figure 3 , Figure 3 is a structural diagram of a vehicle-mounted terminal shown in an exemplary embodiment of the present application. It should be noted that: Figure 3 The vehicle-mounted terminal 300 shown is only an example and should not bring any limitation to the functions and usage area of ​​the embodiments of the present application.

[0057] like Figure 3 As shown, the vehicle terminal 300 includes a processor 301, a memory 302 and a communication bus 303; the communication bus 303 is used to connect the processor 301 and the memory 302; the processor 301 is used to execute the computer program stored in the memory 302 to implement one or more methods in the above embodiments.

[0058] The vehicle-mounted terminal provided in the present application includes a processor, a memory, a transceiver and a communication interface. The memory and the communication interface are connected to the processor and the transceiver and complete communication with each other. The memory is used to store computer programs, the communication interface is used to communicate, and the processor and the transceiver are used to run computer programs so that the electronic device executes the various steps of the above method.

[0059] In this embodiment, the memory may include a random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0060] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0061] The above embodiments are merely illustrative of the principles and effects of the present application, and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.

Claims

1. A remote monitoring method for a vehicle tire blowout, characterized in that: The method comprises: Acquire an initial vehicle parameter sequence, wherein the initial vehicle parameter sequence includes instantaneous vehicle speeds at multiple moments and instantaneous tire pressure values ​​at each moment; Based on the instantaneous vehicle speed and the instantaneous tire pressure value, marking a risk moment from the multiple moments, and acquiring vehicle state data at the risk moment; Fitting is performed based on the vehicle status data and the tire blowout influencing factors set in advance or in real time, and outputting the tire blowout probability; When the tire blowout probability is greater than a preset tire blowout probability threshold, tire blowout risk warning information is generated and pushed to a target terminal.

2. The vehicle tire blowout remote monitoring method according to claim 1, characterized in that: Based on the instantaneous vehicle speed and the instantaneous tire pressure value, marking a risk moment from the multiple moments includes: If all instantaneous vehicle speeds in the initial vehicle parameter sequence are greater than a preset vehicle speed threshold, and the instantaneous tire pressure value at any moment is greater than a preset tire pressure value, then the instantaneous tire pressure values ​​greater than the preset tire pressure value are extracted from the initial vehicle parameter sequence to obtain an abnormal instantaneous tire pressure value sequence, and the remaining instantaneous tire pressure values ​​are combined into a target vehicle parameter sequence; Calculating the difference between each instantaneous tire pressure value in the abnormal instantaneous tire pressure value sequence and each instantaneous tire pressure value in the target vehicle parameter sequence to obtain a tire pressure difference value sequence; The tire pressure difference sequence is traversed. If there is a tire pressure difference value greater than a preset tire pressure change value in the tire pressure difference sequence, a corresponding instantaneous tire pressure value is selected from the abnormal instantaneous tire pressure value sequence and recorded as a risky instantaneous tire pressure value. The time point corresponding to the risky abnormal instantaneous tire pressure value is determined as the risky moment.

3. The vehicle tire blowout remote monitoring method according to claim 1, characterized in that: Before fitting based on the vehicle state data and the tire blowout influencing factors set in advance or in real time, the method further includes: Determine a vehicle driving state according to the vehicle state data, wherein the vehicle driving state includes a low-temperature stable driving state, a low-temperature speed-changing driving state, a high-temperature stable driving state, and a high-temperature speed-changing driving state; The tire blowout influence factor is set for the driving parameters in the vehicle state data according to the vehicle driving state.

4. The vehicle tire blowout remote monitoring method according to claim 3, characterized in that: The vehicle status data includes vehicle acceleration, ambient temperature, wheel hub specifications, and tire temperature. Determining the vehicle driving status according to the vehicle status data includes: When the absolute value of the vehicle acceleration is greater than the first acceleration and less than the second acceleration, the ambient temperature is greater than the first preset ambient temperature and less than the second preset ambient temperature, and the tire temperature is greater than the first preset tire temperature and less than the second preset tire temperature, it is determined that the current vehicle driving state is a low-temperature stable driving state; When the absolute value of the vehicle acceleration is greater than the second acceleration, the ambient temperature is greater than the first preset ambient temperature and less than the second preset ambient temperature, and the tire temperature is greater than the first preset tire temperature and less than the second preset tire temperature, it is determined that the current vehicle driving state is a low-temperature gearshift driving state; When the absolute value of the vehicle acceleration is greater than the first acceleration and less than the second acceleration, the ambient temperature is greater than the second preset ambient temperature, and the tire temperature is greater than the second preset tire temperature, it is determined that the current vehicle driving state is a high-temperature stable driving state; When the absolute value of the vehicle acceleration is greater than the second acceleration, the ambient temperature is greater than the second preset temperature, and the tire temperature is greater than the second preset tire temperature, it is determined that the current vehicle driving state is a high-temperature speed change driving state.

5. The vehicle tire blowout remote monitoring method according to claim 3 or 4, characterized in that: The tire blowout influencing factor is set for the driving parameters in the vehicle state data according to the vehicle driving state, including: In the low-temperature stable driving state, respectively setting tire blowout influence factors for driving parameters in the vehicle state data in the low-temperature stable driving state to obtain a first set of tire blowout influence factors; In the low-temperature speed-shift driving state, respectively setting tire blowout influence factors for driving parameters in the vehicle state data in the low-temperature speed-shift driving state to obtain a second set of tire blowout influence factors; In the high-temperature stable driving state, respectively setting tire blowout influence factors for the driving parameters in the vehicle state data in the high-temperature stable driving state to obtain a third set of tire blowout influence factors; In the high-temperature speed-shifting driving state, respectively setting tire blowout influence factors for driving parameters in the vehicle state data in the high-temperature speed-shifting driving state to obtain a fourth set of tire blowout influence factors; Among them, the first group of tire blowout influencing factors, the second group of tire blowout influencing factors, the third group of tire blowout influencing factors and the fourth group of tire blowout influencing factors are different groups of tire blowout influencing factors.

6. The vehicle tire blowout remote monitoring method according to claim 5, characterized in that: Based on the vehicle status data, the tire blowout influencing factor corresponding to the vehicle status data is fitted and the tire blowout probability is output, including: Under the low-temperature stable driving state, fitting and outputting the tire blowout probability based on the first group of tire blowout influencing factors to obtain a first tire blowout probability; Under the low-temperature speed-shifting driving state, fitting and outputting the tire blowout probability based on the second set of tire blowout influencing factors to obtain a second tire blowout probability; Under the high-temperature stable driving state, fitting and outputting the tire blowout probability based on the third group of tire blowout influencing factors to obtain a third tire blowout probability; Under the high-temperature speed-changing driving state, fitting and outputting the tire blowout probability based on the fourth group of tire blowout influencing factors to obtain a fourth tire blowout probability; The first tire blowout probability, the second tire blowout probability, the third tire blowout probability, and the fourth tire blowout probability are different tire blowout probabilities.

7. The vehicle tire blowout remote monitoring method according to claim 5, characterized in that: After pushing the tire blowout risk warning information to the target terminal, the method further includes: The target terminal analyzes the tire blowout risk warning information to obtain a tire blowout influencing factor; A tire blowout treatment measure is generated based on the tire blowout influencing factor, and the tire blowout treatment measure is pushed to the vehicle-mounted terminal.

8. A remote monitoring device for a vehicle tire blowout, characterized in that: The device comprises: A vehicle parameter acquisition module, used to acquire an initial vehicle parameter sequence, wherein the initial vehicle parameter sequence includes instantaneous vehicle speeds at multiple moments and instantaneous tire pressure values ​​at each moment; A risk moment marking module, used for marking a risk moment from the multiple moments based on the instantaneous vehicle speed and the instantaneous tire pressure value, and obtaining vehicle status data at the risk moment; A tire blowout influence factor setting module, used for fitting based on the vehicle state data and the tire blowout influence factors set in advance or in real time, and outputting the probability of tire blowout; The risk warning module is used to generate tire blowout risk warning information when the tire blowout probability is greater than a preset tire blowout probability threshold, and push the tire blowout risk warning information to a target terminal.

9. A vehicle-mounted terminal, characterized in that: It comprises a processor, a memory and a communication bus; the communication bus is used to connect the processor and the memory; the processor is used to execute the computer program stored in the memory to implement the vehicle tire blowout remote monitoring method as described in any one of claims 1 to 7.

10. A vehicle, characterized in that: It includes the vehicle tire blowout remote monitoring device as claimed in claim 8 or the vehicle-mounted terminal as claimed in claim 9.

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