The invention relates to a train state monitoring method and device, computer equipment and a storage medium. The method comprises the steps that a current train control sequence and current train state data are obtained; the current train control sequence is input into a pre-trained time sequence prediction model, predicted train state data are obtained, the trained time sequence prediction model is used for predicting train state data corresponding to the train control sequence, the trained time sequence prediction model is trained based on the standardized data set, and the train state data corresponding to the train control sequence are obtained. The standardized data set comprises train state data and train simulation data, and the train simulation data is data obtained after a train control sequence is simulated; and comparing the current train state data with the predicted train state data, and monitoring the train state according to a comparison result. Through the train state monitoring method and device, the problems that train state monitoring is low in monitoring accuracy and poor in timeliness in the prior art are solved, and the effect of improving the train state monitoring accuracy and timeliness is achieved.
本发明涉及一种列车状态监测方法、装置、计算机设备及存储介质,该方法包括:获取当前列车控制序列和当前列车状态数据;将当前列车控制序列输入至预先训练好的时序预测模型,得到预测列车状态数据,其中,训练好的时序预测模型用于预测列车控制序列所对应的列车状态数据,训练好的时序预测模型基于标准化数据集进行训练,标准化数据集包括:列车状态数据与列车仿真数据,列车仿真数据为对列车控制序列进行仿真后的数据;将当前列车状态数据与预测列车状态数据进行比对,并根据比对结果对列车状态进行监测。通过本申请,解决了相关技术中列车状态监测存在监测准确度低,及时性差的问题,实现了提高列车状态监测准确度和及时性的效果。
Train state monitoring method and device, computer equipment and storage medium
一种列车状态监测方法、装置、计算机设备及存储介质
2024-10-25
Patent
Electronic Resource
Chinese
IPC: | B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC |
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