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Tire air leakage real-time detection method based on machine learning and storage medium

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

Active Publication Date: 2020-12-22
CHONGQING CHANGAN AUTOMOBILE CO LTD
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  • Abstract
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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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  • Tire air leakage real-time detection method based on machine learning and storage medium
  • Tire air leakage real-time detection method based on machine learning and storage medium
  • Tire air leakage real-time detection method based on machine learning and storage medium

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Embodiment Construction

[0027] Such as figure 1 or figure 2 Shown, a kind of real-time detection method of tire leak based on machine learning, comprises the following steps:

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

[0029] In this embodiment, in order to facilitate calculation and record the original data, the T1 time period is taken as 30 days or 1 month as an example, and the number of A vehicles is taken as 1000 vehicles, that is, firstly collect 1000 vehicles of the same model in a 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 and tire pressure, etc., wherein the vehicle ID and the tire position are used as An identifie...

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Abstract

The invention provides a tire air leakage real-time detection method based on machine learning and a storage medium. The method comprises the steps that: more data of the same type of vehicle in a longer time range is selected; sliding is carried out according to a time window of N days based on a preset slope value; when the time window slides to a certain day, if the gas amount slope value of avehicle tire in the first N days is greater than a slope value K, it is labelled that the vehicle tire of the current vehicle data leaks gas, otherwise, it is marked that the vehicle tire of the current vehicle data does not leak gas; a sample set with a label is obtained; the sample set is verified and trained by using different types of classification algorithms to obtain an optimal classification algorithm; based on the optimal classification algorithm, engineering deployment is carried out on the sample set, so that the model of the optimal classification algorithm is put to the productionenvironment and is used for predicting tire pressure data newly uploaded to the cloud in real time, and obtaining a prediction result. The technical problem that a tire air leakage prediction resultis not accurate enough, or other production cost needs to be increased in the prior art is solved.

Description

technical field [0001] The invention relates to the technical field of automobile safety, in particular to a machine learning-based real-time tire leak detection method and a storage medium. Background technique [0002] Automobile is a modern means of transportation and has become an indispensable means of transportation for 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 highways is as high as 42%. At present, national regulations require that the TPMS (tire pressure monitoring system) installed by automobile manufacturers need to meet certain time requirements and certain threshold conditions before alarming. TPMS What is monitored is the tire pressure, and the tire pressure is affected by objective factors such as climate, road conditions, load, ambient...

Claims

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Application Information

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Patent Type & Authority Applications(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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