A vehicle safety full-cycle monitoring system based on the Internet of Things

Abstract

The present invention discloses a vehicle safety full-cycle monitoring system based on the Internet of Things, which relates to the field of vehicle monitoring technology and includes a main control center, wherein the main control center is communicatively connected with a model building module, a tire pressure monitoring module, a standard adjustment module, an impact determination module and an information feedback module; the model building module is used to build a digital twin model of the tire, the tire pressure monitoring module is used to obtain a real-time tire pressure model, the standard adjustment module is used to build a first influence curve and a second influence curve, and obtain a real-time tire pressure standard, the impact determination module is used to obtain a standard tire pressure model, determine whether the tire has impact behavior, and generate an impact alarm signal, and the information feedback module is used to obtain an impact image, determine whether there is an air leakage, and generate an air leakage alarm signal; it is conducive to forming an effective monitoring mechanism for tire safety and improving the safety of daily travel.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle monitoring, and in particular to a vehicle safety full-cycle monitoring system based on the Internet of Things. Background Art

[0002] The vehicle safety full-cycle monitoring system is a comprehensive system that aims to provide continuous safety monitoring and maintenance throughout the life cycle of the vehicle. This system can be deployed on different types of vehicles. The present invention focuses on the full-cycle monitoring of tire pressure. The full cycle of tire pressure monitoring refers to the entire process of continuous monitoring and maintenance of tire pressure. Tires are an important part of vehicles. Correct tire pressure is crucial to ensure safe driving of vehicles, improve fuel efficiency and extend tire life.

[0003] In the prior art, tires have their corresponding tire pressure standards when they leave the factory, and this is used as the monitoring standard during actual driving. However, in real life, tire pressure is often affected by multiple factors, causing it to fluctuate slightly. If a fixed standard continues to be used, it will inevitably lead to inaccurate monitoring results. In the prior art, tire safety is mostly based only on data comparison, which lacks intuitiveness. If a digital twin model is used to reflect this, this problem can be significantly improved. In view of the shortcomings of the prior art, the present invention provides a vehicle safety full-cycle monitoring system based on the Internet of Things. Summary of the invention

[0004] The purpose of the present invention is to provide a vehicle safety full-cycle monitoring system based on the Internet of Things.

[0005] The object of the present invention can be achieved by the following technical solutions: A vehicle safety full-cycle monitoring system based on the Internet of Things, comprising a main control center, wherein the main control center is communicatively connected with a model building module, a tire pressure monitoring module, a standard adjustment module, an impact determination module and an information feedback module;

[0006] The data collection module is used to collect and store the user's personal information and vehicle information;

[0007] The model building module is used to collect basic information of the tire and build a digital twin model of the tire according to the collected basic information;

[0008] The tire pressure monitoring module is used to set a tire pressure monitoring point, obtain the real-time tire pressure coefficient of the tire through the tire pressure monitoring point, and upload the obtained real-time tire pressure coefficient to the digital twin model to obtain a corresponding real-time tire pressure model;

[0009] The standard adjustment module is used to set the initial tire pressure standard, obtain the single driving time of the tire, and construct the corresponding first influence curve, and is also used to obtain the real-time temperature coefficient of the tire and construct the corresponding second influence curve, and adjust the initial tire pressure standard according to the first influence curve and the second influence curve to obtain the corresponding real-time tire pressure standard;

[0010] The impact determination module is used to upload the obtained real-time tire pressure standard to the digital twin model to obtain a corresponding standard tire pressure model, determine whether the tire has impact behavior according to the comparison result between the real-time tire pressure model and the standard tire pressure model, and generate a corresponding impact alarm signal;

[0011] The information feedback module is used to extract the real-time tire pressure model with impact behavior to obtain a corresponding impact image, obtain the impact position of the tire according to the impact image, monitor the impact position to determine whether there is a leak, and generate a corresponding leak alarm signal.

[0012] Furthermore, the main control center is also communicatively connected to a data acquisition module, and the data acquisition module is used to collect and store the user's personal information and vehicle information.

[0013] Furthermore, the process of the data collection module collecting and storing the user's personal information and vehicle information includes:

[0014] Setting a registration unit and a user database, inputting the user's personal information into the registration unit to complete the registration, and uploading the obtained personal information to the user database for storage;

[0015] A login unit and an entry unit are set up. During the subsequent login process, users who have completed the registration input their mobile phone number into the login unit to complete the login. After completing the registration and login, they enter their own vehicle information through the entry unit, upload the entered vehicle information to the user database for storage, and bind the user's personal information and vehicle information.

[0016] Furthermore, the model building module collects basic information of the tire, and the process of building a digital twin model of the tire according to the collected basic information includes:

[0017] Setting a model building unit, and collecting basic information of the tire through the model building unit, wherein the basic information of the tire includes specification parameters, process parameters, historical data, environmental data, maintenance data, etc. of the tire;

[0018] The model building unit builds a physical model of the tire according to the obtained specification parameters and process parameters, builds a behavioral model of the tire according to the obtained historical data, environmental data, and maintenance data, and integrates the constructed physical model and behavioral model to obtain a digital twin model of the tire.

[0019] Furthermore, the tire pressure monitoring module sets a tire pressure monitoring point, obtains a real-time tire pressure coefficient of the tire through the tire pressure monitoring point, and uploads the obtained real-time tire pressure coefficient to the digital twin model to obtain a corresponding real-time tire pressure model. The process includes:

[0020] A plurality of tire pressure monitoring circles are obtained on the inner surface of the tire, a plurality of tire pressure monitoring points are respectively set on the obtained tire pressure monitoring circles, a pressure monitoring unit is respectively set on the obtained tire pressure monitoring points, and the pressure of the inner surface of the tire is collected by the pressure collection unit to obtain the corresponding real-time tire pressure coefficient;

[0021] Different numerical ranges are set for the real-time tire pressure coefficient, and different color temperatures are set for different numerical ranges. The larger the real-time tire pressure coefficient, the higher the color temperature. The real-time tire pressure coefficient of each tire pressure monitoring point is uploaded to the digital twin model in real time for synchronization to obtain the corresponding real-time tire pressure model, and each tire pressure monitoring point and its surrounding area are rendered in the color corresponding to its corresponding numerical range.

[0022] Furthermore, the process of the standard adjustment module setting the initial tire pressure standard, obtaining the single driving time of the tire, and constructing the corresponding first influence curve includes:

[0023] Setting the initial tire pressure standard and recording the single driving time of the tire, wherein the single driving time refers to the driving time of each tire of the vehicle in a single trip;

[0024] A first tire pressure increase of a tire under different single driving times is obtained, and a corresponding first influence curve is constructed according to the corresponding relationship between the obtained single driving time and the first tire pressure increase, wherein the horizontal coordinate of the first influence curve is the single driving time, and the vertical coordinate is the first tire pressure increase.

[0025] Furthermore, the standard adjustment module obtains the real-time temperature coefficient of the tire and constructs a corresponding second influence curve. The process of adjusting the initial tire pressure standard according to the first influence curve and the second influence curve to obtain the corresponding real-time tire pressure standard includes:

[0026] A temperature collection unit is arranged outside the tire, and the external temperature of the tire is collected by the temperature collection unit to obtain a corresponding real-time temperature coefficient, and a second tire pressure increase of the tire under different real-time temperature coefficients is obtained, and a corresponding second influence curve is constructed according to the corresponding relationship between the obtained real-time temperature coefficient and the second tire pressure increase, wherein the abscissa of the second influence curve is the real-time temperature coefficient, and the ordinate is the second tire pressure increase;

[0027] The current single driving time and real-time temperature coefficient of the tire are obtained, the current real-time tire pressure increase of the tire is obtained according to the first influence curve and the second influence curve, and the real-time tire pressure standard is obtained according to the real-time tire pressure increase based on the initial tire pressure standard.

[0028] Furthermore, the impact determination module uploads the obtained real-time tire pressure standard to the digital twin model to obtain a corresponding standard tire pressure model, determines whether the tire has impact behavior according to the comparison result between the real-time tire pressure model and the standard tire pressure model, and generates a corresponding impact alarm signal, including:

[0029] The obtained real-time tire pressure standard is uploaded to the digital twin model for synchronization to obtain the corresponding standard tire pressure model, and the standard tire pressure model is rendered in a color corresponding to the real-time tire pressure standard;

[0030] The obtained real-time tire pressure model is compared with the standard tire pressure model to determine whether there are areas with different colors between the two. If so, it is determined that the tire has impact behavior, and its corresponding area is obtained, and the corresponding impact alarm signal is generated and fed back. If not, it is determined that the tire has no impact behavior and no other operations are performed on it.

[0031] Furthermore, the information feedback module extracts the real-time tire pressure model with impact behavior to obtain a corresponding impact image, obtains the impact position of the tire according to the impact image, monitors the impact position to determine whether there is a leak, and generates a corresponding leak alarm signal, including:

[0032] When the tire has an impact behavior, the real-time tire pressure model at the current moment is extracted to obtain a corresponding impact image, an area in the impact image that is different in color from the standard tire pressure model is obtained, a tire pressure monitoring point in the area is obtained, and the obtained tire pressure monitoring point is marked as an impact position;

[0033] The real-time tire pressure coefficient at the impact position is monitored to obtain the impact duration, an impact duration threshold is set, the obtained impact duration is compared with the impact duration threshold, the air leakage situation is obtained according to the comparison result, and a corresponding air leakage alarm signal is generated and fed back.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. The present invention constructs a digital twin model of the tire, collects and uploads the tire pressure data of the tire, obtains the real-time tire pressure model of the tire, can intuitively understand the current state of the tire, and obtains the standard tire pressure model of the tire at the same time. According to the comparison results of the two models, it is judged whether the tire has impact behavior and air leakage, which is conducive to forming an effective monitoring mechanism for tire safety using image analysis technology, and improving the safety of daily travel;

[0036] 2. Since the tires will continuously generate heat during driving or be continuously affected by the external temperature, which will cause the tire pressure to increase, if a fixed standard is still used as the monitoring standard, it will inevitably lead to inaccurate monitoring results. The present invention adjusts the initial tire pressure standard according to the single driving time of the tire and the real-time temperature coefficient, so that the monitoring standard is more flexible, and the monitoring results are more in line with the actual situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0038] like Figure 1 As shown, a vehicle safety full-cycle monitoring system based on the Internet of Things includes a main control center, and the main control center is communicatively connected with a data acquisition module, a model building module, a tire pressure monitoring module, a standard adjustment module, an impact determination module, and an information feedback module;

[0039] The data collection module is used to collect and store the user's personal information and vehicle information;

[0040] The model building module is used to collect basic information of the tire and build a digital twin model of the tire according to the collected basic information;

[0041] The tire pressure monitoring module is used to set a tire pressure monitoring point, obtain the real-time tire pressure coefficient of the tire through the tire pressure monitoring point, and upload the obtained real-time tire pressure coefficient to the digital twin model to obtain a corresponding real-time tire pressure model;

[0042] The standard adjustment module is used to set the initial tire pressure standard, obtain the single driving time of the tire, and construct the corresponding first influence curve, and is also used to obtain the real-time temperature coefficient of the tire and construct the corresponding second influence curve, and adjust the initial tire pressure standard according to the first influence curve and the second influence curve to obtain the corresponding real-time tire pressure standard;

[0043] The impact determination module is used to upload the obtained real-time tire pressure standard to the digital twin model to obtain a corresponding standard tire pressure model, determine whether the tire has impact behavior according to the comparison result between the real-time tire pressure model and the standard tire pressure model, and generate a corresponding impact alarm signal;

[0044] The information feedback module is used to extract the real-time tire pressure model with impact behavior to obtain a corresponding impact image, obtain the impact position of the tire according to the impact image, monitor the impact position to determine whether there is a leak, and generate a corresponding leak alarm signal.

[0045] It should be further explained that, in the specific implementation process, the process of the data collection module collecting and storing the user's personal information and vehicle information includes:

[0046] Setting up a registration unit and a user database, inputting the user's personal information into the registration unit to complete the registration, the personal information including but not limited to name, gender, age, occupation, mobile phone number, ID number, ID photo, and uploading the obtained personal information to the user database for storage;

[0047] A login unit and an input unit are set up. During the subsequent login process, the user who has completed the registration inputs the mobile phone number into the login unit to complete the login. After completing the registration and login, the user enters his own vehicle information through the input unit. The vehicle information includes but is not limited to the license plate number, vehicle model, and vehicle status. The entered vehicle information is uploaded to the user database for storage, and the user's personal information and vehicle information are bound.

[0048] It should be further explained that, in the specific implementation process, the model building module collects basic information of the tire, and the process of building a digital twin model of the tire according to the collected basic information includes:

[0049] Setting a model building unit, and collecting basic information of the tire through the model building unit, wherein the basic information of the tire includes specification parameters, process parameters, historical data, environmental data, maintenance data, etc. of the tire;

[0050] The model building unit builds a physical model of the tire according to the obtained specification parameters and process parameters, builds a behavioral model of the tire according to the obtained historical data, environmental data, and maintenance data, and integrates the constructed physical model and behavioral model to obtain a digital twin model of the tire.

[0051] It should be further explained that, in the specific implementation process, the tire pressure monitoring module sets a tire pressure monitoring point, obtains the real-time tire pressure coefficient of the tire through the tire pressure monitoring point, and uploads the obtained real-time tire pressure coefficient to the digital twin model to obtain the corresponding real-time tire pressure model. The process includes:

[0052] A plurality of tire pressure monitoring circles are obtained on the inner surface of the tire in a direction parallel to the side surface of the tire, and the distances between adjacent tire pressure monitoring circles are equal. A plurality of tire pressure monitoring points are respectively set on the obtained tire pressure monitoring circles, and the distances between adjacent tire pressure monitoring points are equal. A pressure monitoring unit is respectively set on the obtained tire pressure monitoring points, and the pressure on the inner surface of the tire is collected by the pressure collection unit to obtain the corresponding real-time tire pressure coefficient;

[0053] Different numerical intervals are set for the obtained real-time tire pressure coefficient, and the numerical differences between each numerical interval are the same. Different color temperatures are set for different numerical intervals. One numerical interval is represented by one color. The larger the real-time tire pressure coefficient is, the higher the color temperature is. The real-time tire pressure coefficient of each tire pressure monitoring point is uploaded to the digital twin model in real time for synchronization to obtain the corresponding real-time tire pressure model. Each tire pressure monitoring point and its surrounding area are rendered in the color corresponding to its corresponding numerical interval, and the surrounding area does not exceed half of the distance to the adjacent tire pressure monitoring point.

[0054] It should be further explained that, in a specific implementation process, the process of the standard adjustment module setting the initial tire pressure standard, obtaining the single driving time of the tire, and constructing the corresponding first influence curve includes:

[0055] According to the actual working requirements of the tire, a corresponding initial tire pressure standard is set for it, and the initial tire pressure standard is a range value, and the single driving time of the tire is recorded, and the single driving time refers to the driving time of each tire of the vehicle in a single trip;

[0056] Since the tire will continuously generate heat during driving, which will cause the tire pressure to increase accordingly, if the initial tire pressure standard is still used as the monitoring standard, the monitoring result will inevitably be inaccurate. Therefore, it is necessary to adjust the initial tire pressure standard accordingly according to the single driving time of the tire, so that the monitoring result is more in line with the actual situation, and the adjustment range will not exceed the safe tire pressure range of the tire, which refers to the tire pressure range that can meet the normal operation of the tire;

[0057] The first tire pressure increase of the tire under different single driving times is obtained, and the corresponding first influence curve is constructed according to the corresponding relationship between the obtained single driving time and the first tire pressure increase. The horizontal coordinate of the first influence curve is the single driving time, and the vertical coordinate is the first tire pressure increase. The first tire pressure increase of the tire under different single driving times can be intuitively understood according to the first influence curve.

[0058] It should be further explained that, in a specific implementation process, the standard adjustment module obtains the real-time temperature coefficient of the tire and constructs the corresponding second influence curve. The process of adjusting the initial tire pressure standard according to the first influence curve and the second influence curve to obtain the corresponding real-time tire pressure standard includes:

[0059] A temperature collection unit is arranged outside the tire, and the temperature outside the tire is collected by the temperature collection unit to obtain the corresponding real-time temperature coefficient. Temperature is the most important factor leading to the increase of tire pressure. The tire pressure will increase with the increase of temperature. Similarly, continuing to use the initial tire pressure standard as the standard for monitoring will lead to inaccurate monitoring results. The standard needs to be adjusted accordingly according to the temperature of the tire so that the monitoring result is more in line with the actual situation.

[0060] Obtaining a second tire pressure increase of the tire under different real-time temperature coefficients, and constructing a corresponding second influence curve according to the corresponding relationship between the obtained real-time temperature coefficient and the second tire pressure increase, wherein the abscissa of the second influence curve is the real-time temperature coefficient, and the ordinate is the second tire pressure increase, and the second tire pressure increase of the tire under different real-time temperature coefficients can be intuitively understood according to the second influence curve;

[0061] The current single driving duration and real-time temperature coefficient of the tire are obtained, and the current first tire pressure increase and second tire pressure increase of the tire are obtained according to the first influence curve and the second influence curve. The sum of the two is used as the current real-time tire pressure increase of the tire, and the real-time tire pressure standard is obtained according to the real-time tire pressure increase based on the initial tire pressure standard. The real-time tire pressure standard is a range value, which is specifically obtained by adding the initial tire pressure standard to the real-time tire pressure increase.

[0062] It should be further explained that, in the specific implementation process, the impact determination module uploads the obtained real-time tire pressure standard to the digital twin model to obtain the corresponding standard tire pressure model, determines whether the tire has impact behavior according to the comparison result between the real-time tire pressure model and the standard tire pressure model, and generates a corresponding impact alarm signal. The process includes:

[0063] The same method is used to upload the obtained real-time tire pressure standard to the digital twin model for synchronization to obtain the corresponding standard tire pressure model, and the standard tire pressure model is rendered in the color corresponding to the real-time tire pressure standard;

[0064] The obtained real-time tire pressure model is compared with the standard tire pressure model to determine whether there are areas with different colors between the two. If so, it is determined that the tire has impact behavior, and its corresponding area is obtained, and the corresponding impact alarm signal is generated and fed back. If not, it is determined that the tire has no impact behavior and no other operations are performed on it.

[0065] It should be further explained that, in a specific implementation process, the information feedback module extracts the real-time tire pressure model with impact behavior to obtain a corresponding impact image, obtains the impact position of the tire according to the impact image, monitors the impact position to determine whether there is a leak, and generates a corresponding leak alarm signal. The process includes:

[0066] When the tire has an impact behavior, the real-time tire pressure model at the current moment is extracted to obtain a corresponding impact image, wherein the impact image has different colors, an area in the impact image that is different from the color of the standard tire pressure model is obtained, a tire pressure monitoring point in the area is obtained, and the obtained tire pressure monitoring point is marked as an impact position;

[0067] The real-time tire pressure coefficient at the impact position is monitored. When it is not at (or equal to) the real-time tire pressure standard, the timing starts. The time interval between the start timing and the current time is marked as the impact duration, recorded as C t , set the impact duration threshold C0, compare the obtained impact duration with the impact duration threshold, and determine whether there is a leak based on the comparison result. If C t ≥C0, it is judged that there is a gas leakage, and the corresponding gas leakage alarm signal is generated and fed back. t <C0, it is judged that there is no leakage and no other operation is performed.

[0068] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A vehicle safety full-cycle monitoring system based on the Internet of Things, including a main control center, characterized in that: The main control center is communicatively connected with a data acquisition module, a model building module, a tire pressure monitoring module, a standard adjustment module, an impact determination module, and an information feedback module; The data collection module is used to collect and store the user's personal information and vehicle information; The model building module is used to collect basic information of the tire and build a digital twin model of the tire according to the collected basic information; The tire pressure monitoring module is used to set a tire pressure monitoring point, obtain the real-time tire pressure coefficient of the tire through the tire pressure monitoring point, and upload the obtained real-time tire pressure coefficient to the digital twin model to obtain a corresponding real-time tire pressure model; The standard adjustment module is used to set the initial tire pressure standard, obtain the single driving time of the tire, and construct the corresponding first influence curve, and is also used to obtain the real-time temperature coefficient of the tire and construct the corresponding second influence curve, and adjust the initial tire pressure standard according to the first influence curve and the second influence curve to obtain the corresponding real-time tire pressure standard; The impact determination module is used to upload the obtained real-time tire pressure standard to the digital twin model to obtain a corresponding standard tire pressure model, determine whether the tire has impact behavior according to the comparison result between the real-time tire pressure model and the standard tire pressure model, and generate a corresponding impact alarm signal; The information feedback module is used to extract the real-time tire pressure model with impact behavior to obtain a corresponding impact image, obtain the impact position of the tire according to the impact image, monitor the impact position to determine whether there is a leak, and generate a corresponding leak alarm signal; The process of the data collection module collecting and storing the user's personal information and vehicle information includes: Setting a registration unit and a user database, inputting the user's personal information into the registration unit to complete the registration, and uploading the obtained personal information to the user database for storage; A login unit and an input unit are provided, and a user who has completed registration inputs a mobile phone number into the login unit to complete the login, inputs his own vehicle information through the input unit, and uploads the input vehicle information to a user database for storage; The model building module collects basic information of the tire, and the process of building a digital twin model of the tire according to the collected basic information includes: Setting a model building unit, collecting basic information of the tire through the model building unit, building a physical model and a behavior model of the tire according to the basic information obtained through the model building unit, and integrating the constructed physical model and behavior model to obtain a digital twin model of the tire; The tire pressure monitoring module sets a tire pressure monitoring point, obtains a real-time tire pressure coefficient of the tire through the tire pressure monitoring point, and uploads the obtained real-time tire pressure coefficient to the digital twin model to obtain a corresponding real-time tire pressure model. The process includes: Obtaining a plurality of tire pressure monitoring circles, respectively setting a plurality of tire pressure monitoring points on the tire pressure monitoring circles, respectively setting pressure monitoring units on the tire pressure monitoring points, and collecting the pressure of the inner surface of the tire through the pressure collection unit to obtain the corresponding real-time tire pressure coefficient; Set different numerical ranges for the real-time tire pressure coefficient, set colors with different color temperatures for different numerical ranges, upload the real-time tire pressure coefficient of each tire pressure monitoring point to the digital twin model to obtain the corresponding real-time tire pressure model, and render each tire pressure monitoring point and its surrounding area with the color corresponding to its corresponding numerical range; The process of the standard adjustment module setting the initial tire pressure standard, obtaining the single driving time of the tire, and constructing the corresponding first influence curve includes: Setting an initial tire pressure standard, recording a single driving time of the tire, obtaining a first tire pressure increase under different single driving times, and constructing a corresponding first impact curve; The standard adjustment module obtains the real-time temperature coefficient of the tire and constructs a corresponding second influence curve. The process of adjusting the initial tire pressure standard according to the first influence curve and the second influence curve to obtain the corresponding real-time tire pressure standard includes: A temperature acquisition unit is provided, and the external temperature of the tire is acquired by the temperature acquisition unit to obtain a corresponding real-time temperature coefficient, obtain a second tire pressure increase of the tire under different real-time temperature coefficients, and construct a corresponding second influence curve; Obtaining the current single driving time and real-time temperature coefficient of the tire, obtaining the current real-time tire pressure increase of the tire according to the first influence curve and the second influence curve, and obtaining the real-time tire pressure standard according to the real-time tire pressure increase based on the initial tire pressure standard; The impact determination module uploads the obtained real-time tire pressure standard to the digital twin model to obtain a corresponding standard tire pressure model, and determines whether the tire has impact behavior according to the comparison result between the real-time tire pressure model and the standard tire pressure model, and generates a corresponding impact alarm signal. The process includes: Upload the real-time tire pressure standard to the digital twin model to obtain the corresponding standard tire pressure model, render the standard tire pressure model in the color corresponding to its real-time tire pressure standard, compare the real-time tire pressure model with the standard tire pressure model, determine whether there are areas with different colors between the two, obtain the impact behavior based on the comparison result, generate the corresponding impact alarm signal and feedback; The information feedback module extracts the real-time tire pressure model with impact behavior to obtain a corresponding impact image, obtains the impact position of the tire according to the impact image, monitors the impact position to determine whether there is a leak, and generates a corresponding leak alarm signal, including: When the tire has an impact behavior, the real-time tire pressure model at the current moment is extracted to obtain the corresponding impact image, and the tire pressure monitoring point in the area of ​​the impact image that is different in color from the standard tire pressure model is obtained and marked as the impact position; The real-time tire pressure coefficient at the impact position is monitored to obtain the impact duration, an impact duration threshold is set, the air leakage situation is obtained based on the comparison result between the impact duration and the impact duration threshold, and a corresponding air leakage alarm signal is generated and fed back.

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