The invention provides an intelligent train idling slip prediction method and device and a storage medium, and the method comprises the steps: determining the line information of a track where a train is located, and obtaining the environment perception information of the train; according to the environment perception information, operation labels, environment characteristics, working condition characteristics and rail surface attachment types are determined; and obtaining a prediction result based on the line information, the operation label, the environment characteristics, the working condition characteristics, the rail surface attachment type and a pre-trained idling slip detection model. According to the method provided by the invention, the prediction result is obtained based on the line information, the operation label, the environment characteristics, the working condition characteristics, the rail surface attachment type and the pre-trained idling slip detection model, and the line information, the operation label, the environment characteristics, the working condition characteristics and the rail surface attachment type can effectively identify the characteristic parameters of adhesion decrease, so that the prediction result is more accurate. The method provided by the invention can predict the probability of occurrence of adhesion decline, and realizes intelligent prediction of idle slip.
本申请提供一种列车空转打滑智能预测方法、设备、存储介质,该方法确定列车所处轨道的线路信息,以及,获取列车的环境感知信息;根据环境感知信息,确定运行标签、环境特征、工况特征和轨面附着物类型;基于线路信息、运行标签、环境特征、工况特征、轨面附着物类型以及预先训练的空转打滑检测模型,得到预测结果。本申请提供的方法基于线路信息、运行标签、环境特征、工况特征、轨面附着物类型以及预先训练的空转打滑检测模型,得到预测结果,由于线路信息、运行标签、环境特征、工况特征、轨面附着物类型可以有效识别发生黏着下降的特征参数,因此,本申请提供的方法可以预测发生黏着下降的概率,实现空转打滑的智能预测。
Train idling slip intelligent prediction method and device and storage medium
列车空转打滑智能预测方法、设备、存储介质
2024-02-06
Patent
Electronic Resource
Chinese
IPC: | B61C Lokomotiven , LOCOMOTIVES |
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