The invention provides an automobile tire abnormity identification system and method, and the method comprises the steps: obtaining the tire pressure of a tire and the data of the state of a vehicle before the driving of the vehicle is started from the historical data of the tire pressure of the tire of the vehicle; the tire pressure of the tire and the vehicle state data in the vehicle running process are acquired; acquiring a vehicle tire pressure data range of the user from the historical data; selecting a normal data sample from the acquired tire pressure of the tire and the vehicle state data according to the acquired tire pressure data range of the vehicle tire of the user; constructing a regression model aiming at tire pressure according to the normal data sample; the tire pressure of tires of the current vehicle, the vehicle state and user information are collected, and whether the tire pressure of the current vehicle is abnormal or not is determined according to the regression model. According to the technical scheme, the tire pressure with normal vehicle environment change is fitted by using the historical working condition data of the vehicle and utilizing the machine learning model, and whether the tire is abnormal or not and whether the tire leaks or not are identified according to the deviation between the predicted value and the current value.

    本申请提供了汽车轮胎异常识别系统及识别方法,该方法包括:在车辆轮胎的胎压的历史数据中,获取车辆行驶开始前轮胎的胎压及车辆状态的数据;以及车辆行驶过程中轮胎的胎压以及车辆状态数据;在历史数据中获取用户的车辆轮胎胎压数据范围;根据获取的用户的车辆轮胎胎压数据范围在获取的轮胎的胎压和车辆状态数据中挑选出正常数据样本;根据正常数据样本构建以胎压为目的回归模型;采集当前车辆的车胎的胎压、车辆状态以及用户信息,根据回归模型确定当前车辆胎压是否存在异常。在上述技术方案中,通过使用车辆历史工况数据,利用机器学习模型拟合车辆环境变化正常的胎压,根据预测值与当前值得偏差,识别轮胎是否异常,进行是否轮胎是否漏气。


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    Title :

    Automobile tire abnormity identification system and identification method


    Additional title:

    一种汽车轮胎异常识别系统及识别方法


    Contributors:

    Publication date :

    2022-05-31


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60C VEHICLE TYRES , Fahrzeugreifen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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