The embodiment of the invention discloses a tire wear degree determination method and device, a vehicle and a storage medium. The method comprises the steps that a sensor signal corresponding to a tire in the vehicle running process is obtained; preprocessing the sensor signal; the preprocessed sensor signals are input into a preset neural network model, and the neural network model is trained based on a sample pair formed by sensor historical signals and historical wear degrees; and determining the wear degree of the tire according to an output result of the neural network model. According to the embodiment of the invention, the wear degree of the tire can be effectively determined, the cost is saved, the popularization of tire wear degree detection is facilitated, and the driving safety is improved.

    本发明实施例公开了一种轮胎磨损程度确定方法、装置、车辆及存储介质,该方法包括:获取在车辆行驶过程中轮胎对应的传感器信号;对传感器信号进行预处理;将预处理后的传感器信号输入至预设的神经网络模型,其中,神经网络模型基于传感器历史信号与历史磨损程度构成的样本对训练;根据神经网络模型的输出结果,确定轮胎的磨损程度。本发明实施例可以有效的确定轮胎的磨损程度,并节省成本,方便轮胎磨损程度检测的普及,提高行车的安全性。


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    Title :

    Tire wear degree determination method and device, vehicle and storage medium


    Additional title:

    一种轮胎磨损程度确定方法、装置、车辆及存储介质


    Contributors:
    ZHANG WEIHONG (author) / CHEN YANXIN (author)

    Publication date :

    2025-03-11


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

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