Intelligent tire pressure monitoring method and system for external disassembly-free gas filling

Abstract

The invention provides an intelligent tire pressure monitoring method and system for external disassembly-free gas filling. The method comprises the following steps: acquiring vehicle running state parameter data, analyzing and processing the data to obtain a tire pressure acquisition frequency, acquiring real-time tire pressure data of a sensor with a preset number according to the tire pressure acquisition frequency, and preprocessing the real-time tire pressure data to obtain effective real-time tire pressure data; processing is conducted according to the vehicle running state parameter data and the effective real-time tire pressure data, tire pressure monitoring evaluation parameters are obtained, and a tire pressure monitoring strategy is output through threshold value comparison; the system comprises a disassembly-free gas filling body assembly, an independent gas channel assembly, a gas pressure isolation valve, a reinforced sealing assembly and a sensor assembly, by dynamically adjusting the data acquisition frequency, analyzing and screening effective real-time tire pressure data, calculating and analyzing tire pressure monitoring evaluation parameters, and isolating a sensor sensing channel or an independent gas filling channel through a sliding type air pressure isolating valve, external disassembly-free gas filling and intelligent tire pressure monitoring are realized.

Description

Technical Field

[0001] This application relates to the field of tire pressure monitoring technology, and more specifically, to an external, non-removable, intelligent tire pressure monitoring method and system. Background Technology

[0002] External tire pressure monitoring sensors, as a crucial component for automotive safety, can monitor tire pressure in real time and issue warnings of abnormal conditions. With the development of intelligent vehicles, TPMS has become standard equipment, and external sensors are widely used due to their ease of installation and lower cost. However, traditional external sensors require disassembly when inflating tires, and frequent disassembly and reassembly can easily damage the sensor or cause seal failure, affecting monitoring accuracy and lifespan. Traditional external sensor inflation techniques mainly employ two methods: one is to completely remove the sensor before inflation, which is cumbersome and easily damages the sensor threads; the other is to use an integrated valve with a bypass valve, but this structure exposes the sensor to high-pressure inflation for extended periods. The disassembly approach results in a poor user experience and high component wear, and the bypass structure cannot effectively isolate the inflation pressure impact, affecting the stability of the sensor's internal precision components. Furthermore, traditional sealing designs are prone to leakage under frequent inflation conditions. Simultaneously, traditional tire pressure monitoring methods fail to consider the dynamic effects of vehicle operating conditions and tire internal temperature, leading to false alarms and impacting user experience. Therefore, there is an urgent need for a device and intelligent tire pressure monitoring method that enables tire inflation without disassembly.

[0003] Effective technical solutions are urgently needed to address the above problems. Summary of the Invention

[0004] The purpose of this application is to provide an external tire pressure monitoring method and system that allows for tire pressure monitoring without disassembly. This system can dynamically adjust the data acquisition frequency and analyze and filter effective real-time tire pressure data, calculate and analyze tire pressure monitoring evaluation parameters, and isolate the sensor sensing channel or independent tire pressure channel through a sliding air pressure isolation valve, thereby achieving external tire pressure monitoring without disassembly and intelligent tire pressure monitoring.

[0005] Firstly, this application provides an external, non-removable tire pressure intelligent monitoring method, including the following steps: Acquire vehicle operating status parameter data, analyze and process it, and obtain the tire pressure sampling frequency; The real-time tire pressure data of the preset numbered sensor is obtained according to the tire pressure acquisition frequency, and preprocessed to obtain effective real-time tire pressure data. The vehicle operating status parameter data and effective real-time tire pressure data are processed to obtain tire pressure monitoring and evaluation parameters. The tire pressure monitoring assessment parameters are compared with the preset tire pressure monitoring early warning threshold, and a tire pressure monitoring strategy is output based on the threshold comparison result.

[0006] Optionally, in the external, non-removable tire pressure intelligent monitoring method described in this application, the step of acquiring vehicle operating status parameter data and analyzing and processing it to obtain the tire pressure sampling frequency includes: Acquire vehicle operating status parameter data, including vehicle accelerometer data and tire internal temperature; The vehicle accelerometer data is input into a preset vehicle operating state evaluation model for processing to obtain vehicle operating state characteristic data, including stationary state characteristic data, low-speed driving state characteristic data, or high-speed driving state characteristic data. The tire pressure sampling frequency is obtained by querying a preset vehicle operating state and sampling frequency mapping table based on the static state feature data, low-speed driving state feature data, or high-speed driving state feature data.

[0007] Optionally, in the external tire pressure monitoring method without disassembly described in this application, the step of acquiring real-time tire pressure data from a preset numbered sensor based on the tire pressure acquisition frequency and performing preprocessing to obtain valid real-time tire pressure data includes: The tire pressure surge rate is obtained by comparing and analyzing real-time tire pressure data within a preset time period. The tire pressure surge rate is compared with a preset tire pressure change warning threshold. If the rate of rapid increase in tire pressure is less than or equal to the preset tire pressure change warning threshold, then the real-time tire pressure data is determined to be valid real-time tire pressure data. If the rate of rapid increase in tire pressure is greater than the preset tire pressure change warning threshold, then the vehicle impact signal data at the corresponding time point is acquired. If the vehicle impact signal data is greater than the preset vehicle impact signal warning threshold, the real-time tire pressure data is discarded to obtain valid real-time tire pressure data. If the vehicle impact signal data is less than or equal to the preset vehicle impact signal warning threshold, then the duration of tire pressure in the real-time tire pressure data is statistically analyzed. If the duration of the tire pressure reading is less than a preset duration threshold, the real-time tire pressure data is discarded to obtain valid real-time tire pressure data. If the duration of the tire pressure reading is greater than or equal to a preset duration threshold, then the real-time tire pressure data is determined to be valid real-time tire pressure data.

[0008] Optionally, in the external, non-removable tire pressure intelligent monitoring method described in this application, the step of processing the vehicle operating status parameter data and effective real-time tire pressure data to obtain tire pressure monitoring evaluation parameters includes: The temperature inside the tire is compared with a preset standard temperature to obtain the temperature difference rate; The temperature difference correction coefficient is obtained by querying the preset temperature difference correction coefficient mapping table based on the temperature difference rate. The effective real-time tire pressure data is corrected according to the temperature difference correction coefficient to obtain effective tire pressure correction data. The effective tire pressure correction data within a preset time period is then averaged to obtain tire pressure monitoring and evaluation parameters.

[0009] Optionally, in the external, non-removable tire pressure intelligent monitoring method described in this application, the step of comparing the tire pressure monitoring evaluation parameters with a preset tire pressure monitoring early warning threshold, and outputting a tire pressure monitoring strategy based on the threshold comparison result, includes: The tire pressure monitoring assessment parameters are compared with the preset tire pressure monitoring early warning threshold. If the tire pressure monitoring assessment parameter is less than the preset tire pressure monitoring early warning threshold, the tire pressure is determined to be normal, and a real-time monitoring strategy is executed. If the tire pressure monitoring evaluation parameter is greater than or equal to the preset tire pressure monitoring early warning threshold, it is determined to be an abnormal tire pressure, and a tire pressure early warning strategy is executed according to the preset numbered sensor.

[0010] Optionally, the external, non-removable tire pressure monitoring method described in this application further includes: Based on the effective real-time tire pressure data, obtain the coaxial tire pressure difference and the same-side tire pressure difference; The tire pressure difference on the same axis and the tire pressure difference on the same side are compared with the preset tire pressure difference warning value; If the tire pressure difference on the same axis is less than the preset tire pressure difference warning value, and the tire pressure difference on the same side is less than the preset tire pressure difference warning value, then continuous monitoring is performed; Conversely, it will output a tire pressure equalization adjustment warning response.

[0011] Optionally, the external, non-removable tire pressure monitoring method described in this application further includes: The effective real-time tire pressure data is compared with the effective tire pressure correction data to obtain the tire pressure fluctuation rate. The effective tire pressure correction data is then analyzed and processed to obtain the tire pressure drop rate. The tire pressure fluctuation rate is compared with the preset tire pressure fluctuation warning threshold; If the tire pressure fluctuation rate is less than or equal to the preset tire pressure fluctuation warning threshold, it is determined to be a normal thermal disturbance fluctuation. If the tire pressure fluctuation rate is greater than the preset tire pressure fluctuation warning threshold, the effective real-time tire pressure correction data and tire pressure drop rate are analyzed and processed to obtain the predicted tire pressure value after a preset time period. The predicted tire pressure value is compared with the preset tire pressure limit value; If the predicted tire pressure value is greater than the preset tire pressure limit value, continuous monitoring will be performed. If the predicted tire pressure value is less than or equal to the preset tire pressure limit value, a tire pressure abnormality warning will be output.

[0012] Secondly, this application provides an external tire pressure monitoring system that does not require disassembly for tire filling. The system includes: a tire filling body assembly (1), an independent air passage assembly (2), a pressure isolation valve (3), a reinforced sealing assembly (4), and a sensor assembly (5). The tire valve body assembly is connected to the tire valve stem via a thread and is used to connect the independent air passage assembly, the air pressure isolation valve, the reinforced sealing assembly, and the sensor assembly. The independent airway assembly is used for real-time air supply without disassembly; The pneumatic isolation valve is used to isolate the independent airway assembly in the normal position and to isolate the sensor assembly in the gas-filled position. The reinforced sealing assembly is used to seal and prevent air pressure leakage; The sensor assembly includes a pressure sensor unit and a temperature sensor unit, used to monitor real-time tire pressure data and tire internal temperature.

[0013] Optionally, in the external tire pressure monitoring system that allows for tire pressure monitoring without disassembly as described in this application, the pressure isolation valve (3) includes: Return spring and conical sliding valve core; The reset spring is used to control the resetting of the conical sliding valve core in the normal position by spring force. The conical sliding valve core is used to isolate the independent air passage assembly in the normal position and to isolate the sensor assembly in the gas filling position.

[0014] Optionally, in the external tire pressure monitoring system that does not require disassembly for inflation described in this application, the reinforced sealing component (4) includes: Fluororubber O-rings and high-temperature resistant silicone gaskets are used together for sealing to prevent air pressure leakage.

[0015] As can be seen from the above, the external tire pressure monitoring method and system provided in this application achieve external tire pressure monitoring and intelligent tire pressure monitoring by dynamically adjusting the data acquisition frequency and analyzing and filtering effective real-time tire pressure data, calculating and analyzing tire pressure monitoring evaluation parameters, and isolating the sensor sensing channel or independent tire pressure channel through a sliding air pressure isolation valve.

[0016] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing embodiments of this application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating an external, non-removable tire pressure intelligent monitoring method provided in this application embodiment; Figure 2 A flowchart illustrating the acquisition of effective real-time tire pressure data using an external, non-removable tire pressure intelligent monitoring method provided in this application embodiment; Figure 3 This is a system component diagram of an external, non-removable tire pressure monitoring system provided in an embodiment of this application. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0020] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating an external, non-removable tire pressure monitoring method according to some embodiments of this application. This external, non-removable tire pressure monitoring method is used in terminal devices, such as computers and mobile phones. The external, non-removable tire pressure monitoring method includes the following steps: S11. Acquire vehicle operating status parameter data, analyze and process it, and obtain the tire pressure sampling frequency; S12. Obtain real-time tire pressure data from a preset numbered sensor according to the tire pressure acquisition frequency, and perform preprocessing to obtain valid real-time tire pressure data. S13. Process the vehicle operating status parameter data and effective real-time tire pressure data to obtain tire pressure monitoring and evaluation parameters; S14. Compare the tire pressure monitoring evaluation parameters with the preset tire pressure monitoring early warning threshold, and output the tire pressure monitoring strategy based on the threshold comparison result.

[0022] It should be noted that, in order to achieve intelligent tire pressure monitoring, firstly, the corresponding sampling frequency is determined according to the vehicle's operating status to ensure timely tire pressure monitoring and reduce computational intensity. Then, interference data is removed from the collected real-time tire pressure data to obtain effective real-time tire pressure data. The effective real-time tire pressure data is then corrected again by combining the determined vehicle operating status parameter data to determine the tire pressure monitoring evaluation parameters. Finally, the final tire pressure monitoring strategy is determined by threshold comparison.

[0023] According to an embodiment of the present invention, the step of acquiring vehicle operating status parameter data and performing analysis and processing to obtain the tire pressure sampling frequency includes: Acquire vehicle operating status parameter data, including vehicle accelerometer data and tire internal temperature; The vehicle accelerometer data is input into a preset vehicle operating state evaluation model for processing to obtain vehicle operating state characteristic data, including stationary state characteristic data, low-speed driving state characteristic data, or high-speed driving state characteristic data. The tire pressure sampling frequency is obtained by querying a preset vehicle operating state and sampling frequency mapping table based on the static state feature data, low-speed driving state feature data, or high-speed driving state feature data.

[0024] It should be noted that the vehicle operating state characteristic data is determined by using vehicle accelerometer data based on a preset vehicle operating state evaluation model. The vehicle operating state includes stationary, low-speed driving, or high-speed driving. The characteristic data of stationary state, low-speed driving state, or high-speed driving state are represented by different identifiers. Then, the preset vehicle operating state and sampling frequency mapping table is consulted to obtain the tire pressure sampling frequency. For example, stationary, low-speed, and high-speed are sampled once every 30 minutes, 1 minute, and 10 seconds, respectively. The preset vehicle operating state evaluation model is obtained by training with a large amount of historical vehicle accelerometer data (such as vibration mode characteristic data and centrifugal force, which are adjusted by those skilled in the art according to the application) and the corresponding vehicle operating state characteristic data. The preset vehicle operating state and sampling frequency mapping table is constructed by those skilled in the art through historical case analysis and can be dynamically adjusted.

[0025] Please refer to Figure 2 , Figure 2 This is a flowchart illustrating the acquisition of effective real-time tire pressure data in an external, non-removable tire pressure monitoring method according to some embodiments of this application. According to an embodiment of the present invention, the step of acquiring real-time tire pressure data from a preset-numbered sensor based on the tire pressure acquisition frequency, and performing preprocessing to obtain effective real-time tire pressure data, includes: S21. Compare and analyze the real-time tire pressure data within a preset time period to obtain the tire pressure surge rate. S22. Compare the tire pressure surge rate with the preset tire pressure change warning threshold. S231. If the tire pressure rise rate is less than or equal to the preset tire pressure change warning threshold, then the real-time tire pressure data is determined to be valid real-time tire pressure data. S232. If the tire pressure rise rate is greater than the preset tire pressure change warning threshold, then acquire the vehicle impact signal data at the corresponding time point. S241. If the vehicle impact signal data is greater than the preset vehicle impact signal warning threshold, the real-time tire pressure data is removed to obtain valid real-time tire pressure data. S242. If the vehicle impact signal data is less than or equal to the preset vehicle impact signal warning threshold, then the tire pressure duration of the real-time tire pressure data is statistically analyzed. S251. If the duration of the tire pressure reading is less than a preset duration threshold, the real-time tire pressure data is discarded to obtain valid real-time tire pressure data. S252. If the duration of the tire pressure reading is greater than or equal to a preset duration threshold, then the real-time tire pressure data is determined to be valid real-time tire pressure data.

[0026] It should be noted that, in order to analyze the collected real-time tire pressure data and eliminate interfering data, the following steps are taken: First, the tire pressure rise rate is evaluated. This is calculated by subtracting the real-time tire pressure data from the previous time point from the real-time tire pressure data at the next time point, and then comparing the result with the previous time point's real-time tire pressure data. If the result is negative, it is recorded as 0 and directly considered as valid real-time tire pressure data. Then, the validity of the real-time tire pressure data at the next time point is determined by threshold comparison. If the data exceeds the preset tire pressure change warning threshold, it is initially judged to be interfering data caused by vehicle bumps or impacts such as driving over potholes on one side. At the same time, through multi-sensor fusion, vehicle impact signal data from the triaxial accelerometer is further collected. By threshold comparison and further statistical analysis of the data's retention time, and then by comparing the retention time threshold, it is finally determined whether the data is interfering, thus determining the accurate steady-state tire pressure, i.e., the valid real-time tire pressure data.

[0027] According to an embodiment of the present invention, the step of processing the vehicle operating status parameter data and effective real-time tire pressure data to obtain tire pressure monitoring and evaluation parameters includes: The temperature inside the tire is compared with a preset standard temperature to obtain the temperature difference rate; The temperature difference correction coefficient is obtained by querying the preset temperature difference correction coefficient mapping table based on the temperature difference rate. The effective real-time tire pressure data is corrected according to the temperature difference correction coefficient to obtain effective tire pressure correction data. The effective tire pressure correction data within a preset time period is then averaged to obtain tire pressure monitoring and evaluation parameters.

[0028] It should be noted that, in order to improve the accuracy of tire pressure monitoring data, corrections are made based on changes in tire internal temperature and standard temperature to determine tire pressure monitoring data under standard conditions. First, the temperature difference rate is evaluated, which is the ratio of the difference between the tire internal temperature and the preset standard temperature to the preset standard temperature. A positive value (i.e., higher than the standard temperature) is corrected downwards, and a negative value (i.e., lower than the standard temperature) is corrected upwards. Then, based on the determined temperature difference rate, a preset temperature difference correction coefficient mapping table (constructed by those skilled in the art through historical case analysis and dynamically adjustable) is consulted to obtain the temperature difference correction coefficient. Finally, the effective tire pressure correction data within a preset time period are averaged to obtain the tire pressure monitoring evaluation parameters.

[0029] According to an embodiment of the present invention, the step of comparing the tire pressure monitoring assessment parameters with a preset tire pressure monitoring early warning threshold, and outputting a tire pressure monitoring strategy based on the threshold comparison result, includes: The tire pressure monitoring assessment parameters are compared with the preset tire pressure monitoring early warning threshold. If the tire pressure monitoring assessment parameter is less than the preset tire pressure monitoring early warning threshold, the tire pressure is determined to be normal, and a real-time monitoring strategy is executed. If the tire pressure monitoring evaluation parameter is greater than or equal to the preset tire pressure monitoring early warning threshold, it is determined to be an abnormal tire pressure, and a tire pressure early warning strategy is executed according to the preset numbered sensor.

[0030] It should be noted that after normalizing the tire pressure monitoring assessment parameters, an accurate tire pressure monitoring strategy is determined by threshold comparison.

[0031] According to an embodiment of the present invention, it further includes: Based on the effective real-time tire pressure data, obtain the coaxial tire pressure difference and the same-side tire pressure difference; The tire pressure difference on the same axis and the tire pressure difference on the same side are compared with the preset tire pressure difference warning value; If the tire pressure difference on the same axis is less than the preset tire pressure difference warning value, and the tire pressure difference on the same side is less than the preset tire pressure difference warning value, then continuous monitoring is performed; Conversely, it will output a tire pressure equalization adjustment warning response.

[0032] It should be noted that, in order to ensure tire pressure balance and improve comfort, the tire pressure difference between tires on the same drive shaft and on the same side is determined based on the sensor number. If either the tire pressure difference on the same shaft or the tire pressure difference on the same side exceeds the threshold, a warning will be issued. Continuous monitoring will only be performed if neither exceeds the threshold.

[0033] According to an embodiment of the present invention, it further includes: The effective real-time tire pressure data is compared with the effective tire pressure correction data to obtain the tire pressure fluctuation rate. The effective tire pressure correction data is then analyzed and processed to obtain the tire pressure drop rate. The tire pressure fluctuation rate is compared with the preset tire pressure fluctuation warning threshold; If the tire pressure fluctuation rate is less than or equal to the preset tire pressure fluctuation warning threshold, it is determined to be a normal thermal disturbance fluctuation. If the tire pressure fluctuation rate is greater than the preset tire pressure fluctuation warning threshold, the effective real-time tire pressure correction data and tire pressure drop rate are analyzed and processed to obtain the predicted tire pressure value after a preset time period. The predicted tire pressure value is compared with the preset tire pressure limit value; If the predicted tire pressure value is greater than the preset tire pressure limit value, continuous monitoring will be performed. If the predicted tire pressure value is less than or equal to the preset tire pressure limit value, a tire pressure abnormality warning will be output.

[0034] It should be noted that, in order to further reduce false overpressure alarms caused by thermal fluctuations and to improve safety by providing early warnings based on tire pressure drop, the following steps are taken: First, the effective real-time tire pressure data is compared with the effective tire pressure correction data to obtain the tire pressure drop rate and tire pressure fluctuation rate. The tire pressure fluctuation rate (i.e., the fluctuation between the actual tire pressure and the theoretical tire pressure) is the ratio of the absolute value of the difference between the effective real-time tire pressure data and the effective tire pressure correction data to the effective real-time tire pressure data. The tire pressure drop rate is calculated by subtracting the effective tire pressure correction data from the previous time point and comparing it with the effective tire pressure correction data from the next time point; if the result is negative, it is recorded as 0. The tire pressure fluctuation rate is then compared against a threshold to determine whether it is a normal thermal disturbance fluctuation. If so, no warning is issued; otherwise, a warning is issued, and the system further determines how long the tire pressure can be used normally. In other words, the system predicts the tire pressure at a future time point based on the effective real-time tire pressure correction data and the tire pressure drop rate. When the predicted tire pressure is lower than the minimum allowable tire pressure, an early warning is issued.

[0035] Please refer to Figure 3 , Figure 3 This is a system component diagram of an external, non-removable tire pressure monitoring system according to some embodiments of this application. The present invention also discloses an external, non-removable tire pressure monitoring system, comprising: The non-disassembly gas filling body assembly (1), independent gas passage assembly (2), gas pressure isolation valve (3), reinforced sealing assembly (4) and sensor assembly (5); The tire valve body assembly is connected to the tire valve stem via a thread and is used to connect the independent air passage assembly, the air pressure isolation valve, the reinforced sealing assembly, and the sensor assembly. The independent airway assembly is used for real-time air supply without disassembly; The pneumatic isolation valve is used to isolate the independent airway assembly in the normal position and to isolate the sensor assembly in the gas-filled position. The reinforced sealing assembly is used to seal and prevent air pressure leakage; The sensor assembly includes a pressure sensor unit and a temperature sensor unit, used to monitor real-time tire pressure data and tire internal temperature.

[0036] It should be noted that the non-disassembly tire filling unit provides support for other components. It is externally connected to the tire valve via threads. When not filling, the air pressure isolation valve isolates the independent filling channel under the action of spring force. The sensor monitors the tire pressure in real time. When filling, the high-pressure air compresses the spring, causing the air pressure isolation valve to move axially, isolating the sensor air passage to prevent the sensor from being damaged by high pressure. The reinforced sealing component prevents air leakage at all times.

[0037] According to an embodiment of the present invention, the pneumatic isolation valve (3) includes: Return spring and conical sliding valve core; The reset spring is used to control the resetting of the conical sliding valve core in the normal position by spring force. The conical sliding valve core is used to isolate the independent air passage assembly in the normal position and to isolate the sensor assembly in the gas filling position.

[0038] It should be noted that the conical valve core can move axially under pressure or spring force, isolating independent air passages or sensor connection channels.

[0039] According to an embodiment of the present invention, the reinforced sealing assembly (4) includes: Fluororubber O-rings and high-temperature resistant silicone gaskets are used together for sealing to prevent air pressure leakage.

[0040] It should be noted that the combination of fluororubber O-rings and high-temperature resistant silicone gaskets improves sealing performance. At the same time, polytetrafluoroethylene composite materials can be used as a substitute.

[0041] This invention discloses an external tire pressure monitoring method and system that allows for tire pressure monitoring without disassembly. By dynamically adjusting the data acquisition frequency and analyzing and filtering effective real-time tire pressure data, and by calculating and analyzing tire pressure monitoring evaluation parameters, and by isolating the sensor sensing channel or independent tire pressure channel through a sliding air pressure isolation valve, external tire pressure monitoring without disassembly and intelligent tire pressure monitoring are achieved.

[0042] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0043] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0044] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0045] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0046] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. An external, non-removable tire pressure intelligent monitoring method, characterized in that, Includes the following steps: Acquire vehicle operating status parameter data, analyze and process it, and obtain the tire pressure sampling frequency; The real-time tire pressure data of the preset numbered sensor is obtained according to the tire pressure acquisition frequency, and preprocessed to obtain effective real-time tire pressure data. The vehicle operating status parameter data and effective real-time tire pressure data are processed to obtain tire pressure monitoring and evaluation parameters. The tire pressure monitoring assessment parameters are compared with the preset tire pressure monitoring early warning threshold, and a tire pressure monitoring strategy is output based on the threshold comparison result.

2. The external, non-removable tire pressure intelligent monitoring method according to claim 1, characterized in that, The process of acquiring vehicle operating status parameter data, analyzing and processing it to obtain the tire pressure sampling frequency includes: Acquire vehicle operating status parameter data, including vehicle accelerometer data and tire internal temperature; The vehicle accelerometer data is input into a preset vehicle operating state evaluation model for processing to obtain vehicle operating state characteristic data, including stationary state characteristic data, low-speed driving state characteristic data, or high-speed driving state characteristic data. The tire pressure sampling frequency is obtained by querying a preset vehicle operating state and sampling frequency mapping table based on the static state feature data, low-speed driving state feature data, or high-speed driving state feature data.

3. The external, non-removable tire pressure intelligent monitoring method according to claim 2, characterized in that, The step of acquiring real-time tire pressure data from a preset-numbered sensor based on the tire pressure acquisition frequency, and preprocessing it to obtain valid real-time tire pressure data, includes: The tire pressure surge rate is obtained by comparing and analyzing real-time tire pressure data within a preset time period. The tire pressure surge rate is compared with a preset tire pressure change warning threshold. If the rate of rapid increase in tire pressure is less than or equal to the preset tire pressure change warning threshold, then the real-time tire pressure data is determined to be valid real-time tire pressure data. If the rate of rapid increase in tire pressure is greater than the preset tire pressure change warning threshold, then the vehicle impact signal data at the corresponding time point is acquired. If the vehicle impact signal data is greater than the preset vehicle impact signal warning threshold, the real-time tire pressure data is discarded to obtain valid real-time tire pressure data. If the vehicle impact signal data is less than or equal to the preset vehicle impact signal warning threshold, then the duration of tire pressure in the real-time tire pressure data is statistically analyzed. If the duration of the tire pressure reading is less than a preset duration threshold, the real-time tire pressure data is discarded to obtain valid real-time tire pressure data. If the duration of the tire pressure reading is greater than or equal to a preset duration threshold, then the real-time tire pressure data is determined to be valid real-time tire pressure data.

4. The external, non-removable tire pressure intelligent monitoring method according to claim 3, characterized in that, The process of processing the vehicle operating status parameter data and effective real-time tire pressure data to obtain tire pressure monitoring and evaluation parameters includes: The temperature inside the tire is compared with a preset standard temperature to obtain the temperature difference rate; The temperature difference correction coefficient is obtained by querying the preset temperature difference correction coefficient mapping table based on the temperature difference rate. The effective real-time tire pressure data is corrected according to the temperature difference correction coefficient to obtain effective tire pressure correction data. The effective tire pressure correction data within a preset time period is then averaged to obtain tire pressure monitoring and evaluation parameters.

5. The external, non-removable tire pressure intelligent monitoring method according to claim 4, characterized in that, The step of comparing the tire pressure monitoring assessment parameters with a preset tire pressure monitoring warning threshold, and outputting a tire pressure monitoring strategy based on the threshold comparison result, includes: The tire pressure monitoring assessment parameters are compared with the preset tire pressure monitoring early warning threshold. If the tire pressure monitoring assessment parameter is less than the preset tire pressure monitoring early warning threshold, the tire pressure is determined to be normal, and a real-time monitoring strategy is executed. If the tire pressure monitoring evaluation parameter is greater than or equal to the preset tire pressure monitoring early warning threshold, it is determined to be an abnormal tire pressure, and a tire pressure early warning strategy is executed according to the preset numbered sensor.

6. The external, non-removable tire pressure intelligent monitoring method according to claim 5, characterized in that, Also includes: Based on the effective real-time tire pressure data, obtain the coaxial tire pressure difference and the same-side tire pressure difference; The tire pressure difference on the same axis and the tire pressure difference on the same side are compared with the preset tire pressure difference warning value; If the tire pressure difference on the same axis is less than the preset tire pressure difference warning value, and the tire pressure difference on the same side is less than the preset tire pressure difference warning value, then continuous monitoring is performed; Conversely, it will output a tire pressure equalization adjustment warning response.

7. The external, non-removable tire pressure intelligent monitoring method according to claim 6, characterized in that, Also includes: The effective real-time tire pressure data is compared with the effective tire pressure correction data to obtain the tire pressure fluctuation rate. The effective tire pressure correction data is then analyzed and processed to obtain the tire pressure drop rate. The tire pressure fluctuation rate is compared with the preset tire pressure fluctuation warning threshold; If the tire pressure fluctuation rate is less than or equal to the preset tire pressure fluctuation warning threshold, it is determined to be a normal thermal disturbance fluctuation. If the tire pressure fluctuation rate is greater than the preset tire pressure fluctuation warning threshold, the effective real-time tire pressure correction data and tire pressure drop rate are analyzed and processed to obtain the predicted tire pressure value after a preset time period. The predicted tire pressure value is compared with the preset tire pressure limit value; If the predicted tire pressure value is greater than the preset tire pressure limit value, continuous monitoring will be performed. If the predicted tire pressure value is less than or equal to the preset tire pressure limit value, a tire pressure abnormality warning will be output.

8. An external, non-removable tire pressure monitoring system, wherein the external, non-removable tire pressure monitoring system is used to implement the external, non-removable tire pressure monitoring method according to claims 1-6, characterized in that, include: The non-disassembly gas filling body assembly (1), independent gas passage assembly (2), gas pressure isolation valve (3), reinforced sealing assembly (4) and sensor assembly (5); The tire valve body assembly is connected to the tire valve stem via a thread and is used to connect the independent air passage assembly, the air pressure isolation valve, the reinforced sealing assembly, and the sensor assembly. The independent airway assembly is used for real-time air supply without disassembly; The pneumatic isolation valve is used to isolate the independent airway assembly in the normal position and to isolate the sensor assembly in the gas-filled position. The reinforced sealing assembly is used to seal and prevent air pressure leakage; The sensor assembly includes a pressure sensor unit and a temperature sensor unit, used to monitor real-time tire pressure data and tire internal temperature.

9. The external, non-disassembly-required intelligent tire pressure monitoring system according to claim 8, characterized in that, The pneumatic isolation valve (3) includes: Return spring and conical sliding valve core; The reset spring is used to control the resetting of the conical sliding valve core in the normal position by spring force. The conical sliding valve core is used to isolate the independent air passage assembly in the normal position and to isolate the sensor assembly in the gas filling position.

10. The external, non-disassembly-required intelligent tire pressure monitoring system according to claim 9, characterized in that, The reinforced sealing assembly (4) includes: Fluororubber O-rings and high-temperature resistant silicone gaskets are used together for sealing to prevent air pressure leakage.

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