Wireless calibration method and device of tire pressure monitoring system, storage medium and vehicle

By interacting with sensors and controllers through the tire pressure monitoring calibration device, selecting the tire position and sending high-frequency signals, the problems of incorrect and missed calibration in the wireless calibration of the TPMS system are solved, achieving higher calibration accuracy and simplified operation.

CN117002191BActive Publication Date: 2026-07-07GUANGZHOU KORMEE AUTOMOTIVE ELECTRONICS CONTROL TECH +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGZHOU KORMEE AUTOMOTIVE ELECTRONICS CONTROL TECH
Filing Date
2023-07-07
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing TPMS systems have a high probability of miscalibration and omissions in wireless calibration, and the operation is complicated, making it difficult to accurately match sensor data with the controller.

Method used

The tire pressure monitoring calibration device interacts with sensors and controllers, selects tire position and sends activation command, receives sensor data, sends high-frequency signals to controller using preset change rules, learns the matching relationship between sensor identification code, status information and tire position, and limits signal strength and time to avoid miscalibration.

Benefits of technology

It effectively reduces the probability of miscalibration and omission, simplifies the operation process, and improves the accuracy and efficiency of wireless calibration in the TPMS system.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a wireless calibration method and device of a tire pressure monitoring system, a storage medium and a vehicle, and can be applied to the technical field of vehicles. The application activates a tire pressure monitoring sensor by sending an activation instruction to the tire pressure monitoring sensor when the tire pressure monitoring calibration equipment interacts with the tire pressure monitoring sensor and a tire pressure monitoring controller, matches tire positions with sensor returned data after receiving sensor data returned by the tire pressure monitoring sensor, and sends a first high-frequency signal to the tire pressure monitoring controller according to a preset change rule, so that the tire pressure monitoring controller learns the matching relationship between a sensor identification code, state information of the tire pressure monitoring sensor, tire state information and the tire position according to the first high-frequency signal. The application sends a high-frequency signal to the tire pressure monitoring controller according to the preset change rule, so that the target tire pressure monitoring controller can receive the corresponding high-frequency signal, and the probability of wrong calibration and missing calibration can be effectively reduced.
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Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and in particular to a wireless calibration method, apparatus, storage medium, and vehicle for a tire pressure monitoring system. Background Technology

[0002] In related technologies, Tire Pressure Monitoring Systems (TPMS) monitor tire status in real time through TPMS sensors installed in the tires and transmit the tire status information wirelessly to the TPMS controller. The TPMS controller then displays the tire status and any faults, thereby achieving overall vehicle tire status monitoring. Currently, the commonly used calibration methods for TPMS systems on the market are wired calibration and wireless calibration.

[0003] Wired calibration of a TPMS system involves using a TPMS calibration device to learn and record sensor information and tire position data inside each tire. This recorded sensor data is then transmitted to the controller via common vehicle communication methods (CAN / LIN) to complete the calibration. After the calibration device learns the sensors, a wiring harness is required to connect it to the vehicle's communication interface to communicate with the TPMS controller. Since communication interfaces may differ between vehicle models, it's necessary to verify the compatibility of the calibration device's adapter wiring harness with the vehicle's wiring harness during TPMS calibration. This process often involves repeated plugging and unplugging, and sometimes even wiring harness replacement, making it cumbersome and inconvenient.

[0004] The wireless calibration process for the TPMS system is the same as that for wired calibration. The difference lies in that after the calibration device completes sensor learning, it transmits the recorded sensor data to the controller via wireless radio frequency signals to complete the calibration. This method only requires the calibration device and no other wiring, making the calibration process simpler than wired calibration. However, because it uses wireless signals, the data transmitted by the calibration device is projected to all controllers within a certain range. Since the controllers cannot identify whether the sensor data transmitted by the calibration device belongs to the vehicle's sensors, miscalibration and omissions can occur. Summary of the Invention

[0005] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a wireless calibration method, device, storage medium, and vehicle for a tire pressure monitoring system, which can effectively reduce the probability of miscalibration and missed calibration.

[0006] On one hand, embodiments of the present invention provide a wireless calibration method for a tire pressure monitoring system. The method is applied to a tire pressure monitoring calibration device, which interacts with a plurality of tire pressure monitoring sensors and a tire pressure monitoring controller. The tire pressure monitoring sensors are mounted on wheels and are used to monitor the tire pressure signals of the wheels. The method includes the following steps:

[0007] Select the tire position of the vehicle where the tire pressure monitoring sensor is located, and send an activation command to the tire pressure monitoring sensor;

[0008] Receive sensor data returned by the tire pressure monitoring sensor, the sensor data including sensor identification code, status information of the tire pressure monitoring sensor and tire status information;

[0009] Match the tire position with the sensor data;

[0010] Based on the sensor data, a first high-frequency signal is sent to the tire pressure monitoring controller according to a preset change rule, so that the tire pressure monitoring controller can learn the matching relationship between the sensor identification code, the status information of the tire pressure monitoring sensor, the tire status information and the tire position based on the first high-frequency signal.

[0011] In some embodiments, sending an activation command to the tire pressure monitoring sensor includes:

[0012] An activation command is sent to the tire pressure monitoring sensor with a first low-frequency information, the frequency range of which includes a first preset frequency.

[0013] The system receives a second high-frequency signal sent by the tire pressure monitoring sensor, the frequency range of which includes a second preset frequency.

[0014] In some embodiments, receiving sensor data returned by the tire pressure monitoring sensor includes:

[0015] Receive the sensor identification code returned by the tire pressure monitoring sensor;

[0016] After receiving the tire pressure, tire temperature and fault information of the tire returned by the tire pressure monitoring sensor, it is determined that there is no record information for the sensor identification code, and the matching relationship between the sensor identification code and the corresponding sensor location information is learned.

[0017] In some embodiments, sending a first high-frequency signal to the tire pressure monitoring controller according to the sensor data and a preset change rule includes:

[0018] A first high-frequency signal corresponding to each tire pressure monitoring sensor is generated based on the sensor data, and the first high-frequency signal corresponding to each tire pressure monitoring sensor increases the preset intensity of the first high-frequency signal at a first preset time interval.

[0019] Starting from the lowest signal strength, the preset strength of the first high-frequency signal is sequentially increased according to the first preset time interval, and the first high-frequency signal is sent to the tire pressure monitoring controller.

[0020] Once the learning result returned by the tire pressure monitoring controller is received, the transmission process of the first high-frequency signal ends.

[0021] In some embodiments, after sending a first high-frequency signal to the tire pressure monitoring controller according to the sensor data and a preset variation rule, the method further includes the following steps:

[0022] If no learning result is received from the tire pressure monitoring controller after the second preset time interval, it is determined that the current calibration has failed, and the sending of the first high-frequency signal to the tire pressure monitoring controller is stopped.

[0023] In some embodiments, after the learning result is not received from the tire pressure monitoring controller after a second preset time interval, the method further includes the following steps:

[0024] Record sensor data prior to the current time point. The sensor data includes sensor identification code, status information of the tire pressure monitoring sensor, tire status information, and the tire position corresponding to the tire pressure monitoring sensor.

[0025] In some embodiments, learning the matching relationship between the sensor identification code, the tire pressure monitoring sensor status information, the tire status information, and the tire position based on the first high-frequency signal includes:

[0026] Once it is determined that the first high-frequency signal does not exceed the signal strength threshold, the matching relationship between the sensor identification code, the status information of the tire pressure monitoring sensor, the tire status information, and the tire position is learned.

[0027] On the other hand, embodiments of the present invention provide a wireless calibration device for a tire pressure monitoring system, comprising:

[0028] At least one memory for storing programs;

[0029] At least one processor is used to load the program to execute the wireless calibration method of the tire pressure monitoring system.

[0030] On the other hand, embodiments of the present invention provide a computer storage medium storing a computer-executable program, which, when executed by a processor, is used to implement the wireless calibration method of the tire pressure monitoring system.

[0031] On the other hand, embodiments of the present invention provide a vehicle that performs tire pressure monitoring through a tire pressure monitoring system, wherein the calibration method of the tire pressure monitoring system includes a wireless calibration method for the tire pressure monitoring system.

[0032] The wireless calibration method for a tire pressure monitoring system provided in this invention has the following beneficial effects:

[0033] In this embodiment, when the tire pressure monitoring calibration device interacts with several tire pressure monitoring sensors and a tire pressure monitoring controller, it selects the tire position of the vehicle where the tire pressure monitoring sensor is located and sends an activation command to the tire pressure monitoring sensor to activate it. After receiving the sensor data returned by the tire pressure monitoring sensor, it matches the tire position with the sensor data and then sends a first high-frequency signal to the tire pressure monitoring controller according to a preset change rule based on the sensor data. This allows the tire pressure monitoring controller to learn the matching relationship between the sensor identification code, the status information of the tire pressure monitoring sensor, the tire status information, and the tire position based on the first high-frequency signal. By sending high-frequency signals to the tire pressure monitoring controller through preset change rules, this embodiment ensures that the target tire pressure monitoring controller receives the corresponding high-frequency signal, effectively reducing the probability of miscalibration or omission.

[0034] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0035] The present invention will be further described below with reference to the accompanying drawings and embodiments, wherein:

[0036] Figure 1 This is an interactive schematic diagram of a tire pressure monitoring system according to an embodiment of the present invention;

[0037] Figure 2 This is a flowchart illustrating a wireless calibration method for a tire pressure monitoring system according to an embodiment of the present invention;

[0038] Figure 3 This is a flowchart of a wireless calibration method for a tire pressure monitoring system according to an embodiment of the present invention, using a tire pressure monitoring calibration device.

[0039] Figure 4 The flowchart below shows a wireless calibration method for a tire pressure monitoring system according to an embodiment of the present invention, specifically within the tire pressure monitoring controller. Detailed Implementation

[0040] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0041] In the description of this invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., are based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention.

[0042] In the description of this invention, "several" means one or more, "multiple" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0043] In the description of this invention, unless otherwise explicitly defined, terms such as "setting," "installing," and "connecting" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this invention in conjunction with the specific content of the technical solution.

[0044] In the description of this invention, the terms "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0045] Reference Figure 1 This application provides an interactive schematic diagram of a tire pressure monitoring system. From Figure 1 It can be seen that a tire pressure monitoring system includes tire pressure monitoring calibration equipment and several tire pressure monitoring sensors. Figure 1 The diagram shows only one tire pressure monitoring sensor and one tire pressure monitoring controller. The tire pressure monitoring sensor is mounted on the wheel, and the tire pressure monitoring controller is mounted on the vehicle. The tire pressure monitoring calibration equipment interacts with several tire pressure monitoring sensors and tire pressure monitoring controllers.

[0046] by Figure 1 Taking the application scenario as an example, when applied to tire pressure monitoring calibration equipment, such as Figure 2 As shown, this embodiment of the invention provides a wireless calibration method for a tire pressure monitoring system, including but not limited to the following steps:

[0047] Step S110: Select the tire position of the vehicle where the tire pressure monitoring sensor is located, and send an activation command to the tire pressure monitoring sensor;

[0048] Step S120: Receive sensor data returned by the tire pressure monitoring sensor and match the tire position with the sensor data; wherein, the sensor data includes the sensor identification code, the status information of the tire pressure monitoring sensor, and the tire status information;

[0049] Step S130: Send a first high-frequency signal to the tire pressure monitoring controller according to the sensor data and a preset change rule, so that the tire pressure monitoring controller can learn the matching relationship between the sensor identification code, the status information of the tire pressure monitoring sensor, the tire status information and the tire position based on the first high-frequency signal.

[0050] In this embodiment, when the tire pressure monitoring calibration device approaches the wheel, it sends an activation command to the tire pressure monitoring sensor on the wheel to activate the tire pressure monitoring sensor at the corresponding tire position. It is understood that the tire pressure monitoring calibration device in this embodiment sends the activation command to the tire pressure monitoring sensor via a first low-frequency information. After receiving the activation command, the tire pressure monitoring sensor returns relevant information to the calibration device via a second high-frequency signal. The frequency range of the first low-frequency information includes a first preset frequency, such as a 125kHz radio frequency signal; the frequency range of the second high-frequency signal includes a second preset frequency, such as a 433.92MHz radio frequency signal. When the tire pressure monitoring sensor is activated, the tire pressure monitoring calibration device can receive sensor data returned by the tire pressure monitoring sensor in real time. It is understood that the tire pressure monitoring calibration device first receives the sensor identification code returned by the tire pressure monitoring sensor. After receiving the tire pressure, tire temperature, and fault information of the corresponding tire returned by the tire pressure monitoring sensor, it determines that the sensor identification code does not contain any recorded information and learns the matching relationship between the sensor identification code and the corresponding sensor position information.

[0051] In this embodiment, after the tire pressure monitoring calibration device enters the batch learning process, it sends a first high-frequency signal to the tire pressure monitoring controller according to a preset change rule based on sensor data. It can be understood that this embodiment can generate a first high-frequency signal corresponding to each tire pressure monitoring sensor based on the sensor data, and then, starting from the lowest signal strength, sequentially increase the preset strength of the first high-frequency signal according to a first preset time interval before sending the first high-frequency signal to the tire pressure monitoring controller. After confirming that the learning result returned by the tire pressure monitoring controller has been received, the sending process of the first high-frequency signal ends. Specifically, the first high-frequency signal corresponding to each tire pressure monitoring sensor increases its preset strength at a first preset time interval. For example, within 5 seconds of entering the batch learning sending interface, the tire pressure monitoring calibration device will send recorded sensor data starting from the lowest wireless signal transmission strength. From the start of sending, every 1 second after the first preset time interval, the signal transmission strength of the first high-frequency signal is increased by a preset 1 dBm to continue sending data until the learning result fed back by the tire pressure monitoring controller is received, at which point the data transmission stops. In this embodiment, if no learning result is received from the tire pressure monitoring controller after a second preset time interval, the calibration is determined to have failed and the transmission of the first high-frequency signal to the tire pressure monitoring controller is stopped. For example, if no learning result is received from the TPMS controller after a second preset time interval of 5 seconds, the calibration is determined to have failed and the transmission of sensor data is stopped.

[0052] In this embodiment of the application, if no learning result is received from the tire pressure monitoring controller after the second preset time interval, the sensor data before the current time point is recorded to facilitate the operator to repeatedly attempt wireless calibration of the current vehicle's tire pressure monitoring system.

[0053] Understandably, when the tire pressure monitoring controller learns the matching relationship between the sensor identification code and the tire position, it can determine the relationship between the first high-frequency signal and the signal strength threshold. If the first high-frequency signal does not exceed the signal strength threshold, it will not learn the matching relationship between the sensor identification code and the tire position. This can prevent other vehicle controllers from receiving sensor data sent by the calibration device due to excessively high transmission field strength.

[0054] In this embodiment of the application, taking an application in a tire pressure monitoring calibration device as an example, such as Figure 3 As shown, the tire pressure monitoring calibration device includes a human-machine interface. During operation, the following steps are included, but are not limited to:

[0055] Step 1: Initialize the tire pressure monitoring calibration equipment;

[0056] Step 2: Press the key on the tire pressure monitoring calibration device to select the "Batch Learning" function;

[0057] Step 3: After entering the batch learning interface, press the key to select "Complete" and press the confirmation key;

[0058] Step 4: The internal processor of the tire pressure monitoring calibration device checks if there is a recorded sensor identification code (ID). If not, proceed to step 5; if it exists, proceed to step 6.

[0059] Step 5: Use the up and down keys to select the tire position to be learned, and press the confirmation key; then check if the sensor identification code has been learned at a certain tire position. If so, press the back key to exit the sensor activation for that tire; otherwise, record the activated sensor identification code and data, and the corresponding sensor identification code will be displayed at the corresponding tire position on the human-machine interface.

[0060] Step 6: Enter the sending interface, set the transmission intensity to the lowest value, and then send the high-frequency command for batch learning;

[0061] Step 7: Determine if the back button has been pressed. If yes, proceed to the batch learning interface; otherwise, proceed to Step 8.

[0062] Step 8: Determine whether a high-frequency response command has been received from the tire pressure monitoring controller. If not, proceed to step 9; otherwise, proceed to step 10.

[0063] Step 9: Determine whether the high-frequency response command received exceeds 5 seconds. If so, after determining that the batch learning high-frequency command has been sent for more than 1 second, increase the transmission power of the transmission frequency by 1 dBm and then proceed to send the batch learning high-frequency command. Otherwise, determine that the batch learning has failed, the human-machine interface will display the transmission failure, and after pressing the return button, retain the previously recorded sensor identification code and enter the batch learning interface.

[0064] Step 10: Confirm that the batch learning is complete. The human-machine interface will display "sent successfully" and show the calibrated wheel positions and corresponding sensor identification codes. After confirming and pressing the return button, delete the previously recorded sensor identification codes and enter the batch learning interface.

[0065] from Figure 3It is known that during the sensor activation process, the TPMS calibration device identifies and judges the sensor ID. If the sensor ID is recorded at other tire positions, the sensor data will not be recorded at the tire position currently selected by the calibration device. Furthermore, after the wireless calibration result appears, the TPMS calibration device takes different measures regarding the recorded data: if the TPMS calibration device receives the TPMS controller's learning result, it will clear the recorded sensor data when returning to the batch learning display interface by pressing the back button, facilitating the operator to perform wireless calibration of the TPMS system for the next vehicle; if the TPMS calibration device does not receive the TPMS controller's learning result, it will retain the recorded sensor data when returning to the batch learning display interface by pressing the back button, facilitating the operator to repeatedly attempt wireless calibration of the current vehicle's TPMS system.

[0066] In this embodiment of the application, taking an application to a tire pressure monitoring controller as an example, such as Figure 4 As shown, including but not limited to the following steps:

[0067] Step 1: Initialize the tire pressure monitoring controller;

[0068] Step 2: Determine if power is applied within 10 seconds. If not, end the process; otherwise, proceed to Step 3.

[0069] Step 3: Enter the wireless calibration batch learning mode, determine whether the batch learning command sent by the calibrator (calibration device) has been received. If it is received, continue to determine whether the transmission power of the batch learning command exceeds the threshold. If it exceeds the threshold, determine whether there is existing calibration data. If there is existing calibration data, delete the original calibration data.

[0070] Step 4: Based on the received sensor identifier and tire position, perform calibration and save the data. After calibration, send a calibration success response command and the sensor identifier and tire position stored in the controller to the tire pressure monitoring calibration device.

[0071] from Figure 3 and Figure 4As can be seen, during the recording of data from activated TPMS sensors, the TPMS calibration device displays the recorded sensor data and corresponding tire positions on its interface. After the TPMS controller feeds back the learning results to the TPMS calibrator, the TPMS calibration device also displays the sensor ID calibrated by the TPMS controller and the corresponding tire positions. Furthermore, the TPMS controller enters wireless calibration mode within 10 seconds of power-on. Upon receiving a batch learning command from the TPMS calibration device, it assesses the wireless signal strength. Only when the strength exceeds a threshold set internally by the controller will it record the sensor data and corresponding tire positions from the batch learning command.

[0072] Therefore, the calibration method provided in this application has the following advantages:

[0073] First, in this embodiment, the calibration device can gradually increase the radio frequency transmission field strength from low to high during the process of sending sensor data to the controller, and keep the maximum radio frequency transmission field strength at a weak level by limiting the transmission time, thereby avoiding other vehicle controllers from receiving sensor data sent by the calibration device due to excessively high transmission field strength.

[0074] Secondly, the calibration device in this embodiment can prevent sensor data that has been recorded for a certain tire position from being recorded for other tire positions when the sensor is activated to record data. This avoids the situation where the sensor data is not fully recorded due to operator error, resulting in the sensor being missed during calibration.

[0075] Third, in this embodiment, when the calibration device receives a successful calibration instruction from the controller, the calibration device will delete the recorded sensor data. This prevents the operator from misjudging the sensor data of the previous vehicle when calibrating other vehicles, thus failing to activate one or more sensors of the current vehicle, which could lead to missed or incorrect calibration of the TPMS system. In the event of calibration failure, the sensor data of the calibration device will be retained, allowing the operator to directly try the next calibration without having to relearn the sensors.

[0076] Fourth, the calibration device in this embodiment can display the calibrated tire position and sensor ID after completing sensor recording and calibration, which facilitates the operator to check the sensor data and further reduces the probability of miscalibration or omission in the TPMS system.

[0077] Fifth, the controller can only enter the wireless calibration mode within 10 seconds after power-on, and calibration can only be completed when the signal strength of the received calibration device data exceeds the calibration threshold. This not only simplifies the operation of wireless calibration of the TPMS system, but also avoids the TPMS controller from mistakenly learning sensor data from other vehicles.

[0078] In summary, this embodiment maintains the simplicity of TPMS system wireless calibration while avoiding the pain points of human error and the wide and difficult-to-distinguish wireless calibration radiation, which can lead to missed or incorrect calibration, thereby improving the accuracy of TPMS system wireless calibration and ensuring the normal use of TPMS system.

[0079] This invention provides a wireless calibration device for a tire pressure monitoring system, comprising:

[0080] At least one memory for storing programs;

[0081] At least one processor is used to load the program for execution. Figure 2 The wireless calibration method for the tire pressure monitoring system is shown.

[0082] The content of the method embodiments of the present invention is applicable to the device embodiments. The specific functions implemented by the device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above methods.

[0083] This invention provides a computer storage medium storing a computer-executable program, which, when executed by a processor, is used to implement... Figure 2 The wireless calibration method for the tire pressure monitoring system is shown.

[0084] The content of the method embodiments of the present invention is applicable to the storage medium embodiments. The specific functions implemented by the storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above methods.

[0085] This invention provides a vehicle that monitors tire pressure using a tire pressure monitoring system. The calibration method for the tire pressure monitoring system includes... Figure 2 The wireless calibration method for the tire pressure monitoring system shown is illustrated.

[0086] Furthermore, embodiments of the present invention also provide a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device can read the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, causing the computer device to perform... Figure 2 The wireless calibration method for the tire pressure monitoring system is shown.

[0087] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments, and various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention. Furthermore, the embodiments of the present invention and the features thereof can be combined with each other unless otherwise specified.

Claims

1. A wireless calibration method for a tire pressure monitoring system, characterized in that, The method is applied to a tire pressure monitoring calibration device, which interacts with a plurality of tire pressure monitoring sensors and a tire pressure monitoring controller; the tire pressure monitoring sensors are mounted on the wheels and are used to monitor the tire pressure signals of the wheels; the method includes the following steps: Select the tire position of the vehicle where the tire pressure monitoring sensor is located, and send an activation command to the tire pressure monitoring sensor; Receive sensor data returned by the tire pressure monitoring sensor, the sensor data including sensor identification code, status information of the tire pressure monitoring sensor and tire status information; Match the tire position with the sensor data; According to the sensor data, a first high-frequency signal is sent to the tire pressure monitoring controller according to a preset change rule, so that the tire pressure monitoring controller learns the matching relationship between the sensor identification code, the status information of the tire pressure monitoring sensor, the tire status information and the tire position based on the first high-frequency signal; The step of sending a first high-frequency signal to the tire pressure monitoring controller according to the sensor data and a preset change rule includes: A first high-frequency signal corresponding to each tire pressure monitoring sensor is generated based on the sensor data, and the first high-frequency signal corresponding to each tire pressure monitoring sensor increases the preset intensity of the first high-frequency signal at a first preset time interval. Starting from the lowest signal strength, the preset strength of the first high-frequency signal is sequentially increased according to the first preset time interval, and the first high-frequency signal is sent to the tire pressure monitoring controller. Once the learning result returned by the tire pressure monitoring controller is received, the transmission process of the first high-frequency signal ends.

2. The wireless calibration method for a tire pressure monitoring system according to claim 1, characterized in that, Sending an activation command to the tire pressure monitoring sensor includes: An activation command is sent to the tire pressure monitoring sensor with a first low-frequency information, the frequency range of which includes a first preset frequency. The system receives a second high-frequency signal sent by the tire pressure monitoring sensor, the frequency range of which includes a second preset frequency.

3. The wireless calibration method for a tire pressure monitoring system according to claim 1, characterized in that, The process of receiving sensor data returned by the tire pressure monitoring sensor includes: Receive the sensor identification code returned by the tire pressure monitoring sensor; After receiving the tire pressure, tire temperature and fault information of the tire returned by the tire pressure monitoring sensor, it is determined that there is no record information for the sensor identification code, and the matching relationship between the sensor identification code and the corresponding sensor location information is learned.

4. The wireless calibration method for a tire pressure monitoring system according to claim 1, characterized in that, After sending a first high-frequency signal to the tire pressure monitoring controller according to the sensor data and a preset change rule, the method further includes the following steps: If no learning result is received from the tire pressure monitoring controller after the second preset time interval, it is determined that the current calibration has failed, and the sending of the first high-frequency signal to the tire pressure monitoring controller is stopped.

5. The wireless calibration method for a tire pressure monitoring system according to claim 4, characterized in that, After the second preset time interval has elapsed and no learning result is received from the tire pressure monitoring controller, the method further includes the following steps: Record sensor data prior to the current time point. The sensor data includes sensor identification code, status information of the tire pressure monitoring sensor, tire status information, and the tire position corresponding to the tire pressure monitoring sensor.

6. The wireless calibration method for a tire pressure monitoring system according to claim 1, characterized in that, The step of learning the matching relationship between the sensor identification code, the tire pressure monitoring sensor status information, the tire status information, and the tire position based on the first high-frequency signal includes: Once it is determined that the first high-frequency signal does not exceed the signal strength threshold, the matching relationship between the sensor identification code, the status information of the tire pressure monitoring sensor, the tire status information, and the tire position is learned.

7. A wireless calibration device for a tire pressure monitoring system, characterized in that, include: At least one memory for storing programs; At least one processor is configured to load the program to execute the wireless calibration method for the tire pressure monitoring system as described in any one of claims 1-6.

8. A computer storage medium, characterized in that, It contains a computer-executable program, which, when executed by a processor, is used to implement the wireless calibration method of the tire pressure monitoring system as described in any one of claims 1-6.

9. A vehicle, characterized in that, Tire pressure monitoring is performed using a tire pressure monitoring system, wherein the calibration method of the tire pressure monitoring system includes the wireless calibration method of the tire pressure monitoring system according to any one of claims 1-6.