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Real-time detection method and storage medium for tire air leakage based on machine learning

A machine learning and real-time detection technology, applied in the field of automobile safety, can solve problems such as inaccurate air leakage results and increase production costs, and achieve the effect of reducing the probability of driving accidents and reducing development costs

Active Publication Date: 2022-08-09
CHONGQING CHANGAN AUTOMOBILE CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

[0006] In view of this, the object of the present invention is to provide a real-time tire leak detection method and storage medium based on machine learning, which is used to solve the technical problems that the prediction of tire leak results in the prior art is not accurate enough, or other production costs need to be increased

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  • Real-time detection method and storage medium for tire air leakage based on machine learning
  • Real-time detection method and storage medium for tire air leakage based on machine learning
  • Real-time detection method and storage medium for tire air leakage based on machine learning

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Embodiment Construction

[0027] like figure 1 or figure 2 As shown, a real-time detection method for tire air leakage based on machine learning includes the following steps:

[0028] Step 1: Collect the vehicle data of A vehicle of the same model within the T1 time period, and preprocess the vehicle data. The vehicle data at least includes vehicle ID, tire temperature, tire position, ambient temperature, plateau coefficient, time. stamp and tire pressure.

[0029] In this embodiment, in order to facilitate the calculation and recording of the original data, the T1 time period is taken as an example of 30 days or one month, and the number of A vehicles is taken as an example of 1000 vehicles, that is, 1000 vehicles of the same model are first collected in one Vehicle tire pressure data within a month, the vehicle tire pressure data includes vehicle ID, tire temperature, tire position, ambient temperature, plateau coefficient, time stamp, tire pressure, etc., wherein the vehicle ID and the tire posit...

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Abstract

The invention provides a real-time detection method and storage medium for tire air leakage based on machine learning, including selecting more data of the same model in a longer time range, and based on a preset slope value, according to a time window of N days Sliding, when sliding to a certain day, if the slope value of the gas volume of the vehicle tires in the previous N days is greater than the slope value K, the vehicle tires marked with the current vehicle data will leak air, otherwise they will not leak, and thus get a label with a label. Then use different types of classification algorithms to verify and train the sample set to obtain the optimal classification algorithm, and based on the optimal classification algorithm, implement engineering deployment to make the model of the optimal classification algorithm go online In the production environment, it is used to predict the tire pressure data newly uploaded to the cloud in real time, and obtain the prediction result. The technical problem of inaccurate prediction of tire leakage in the prior art, or other production costs needing to be increased, is solved.

Description

technical field [0001] The invention relates to the technical field of automobile safety, in particular to a real-time detection method and storage medium for tire air leakage based on machine learning. Background technique [0002] Automobile is a modern means of transportation, and has become an indispensable means of transportation in people's daily life. With the development of the automobile industry, people pay more and more attention to safety, and automobile tires are one of the important parts of automobiles. According to incomplete statistics, the proportion of accidents caused by tires on expressways is as high as 42%. At present, national regulations require that the TPMS (tire pressure monitoring system) installed by automobile manufacturers must meet certain time requirements and certain threshold conditions before alarming. TPMS The tire pressure is monitored, and the tire pressure is affected by objective factors such as climate, road conditions, load, ambie...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N20/10
CPCG06N20/10G06F18/2411Y02T10/40
Inventor 杨俱成黄中原吴锐刘平谢乐成
Owner CHONGQING CHANGAN AUTOMOBILE CO LTD
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