The invention relates to the technical field of rail transit operation control, in particular to a heavy haul train group operation control sensing method and system. Train group operation state information is collected through different sensors; the state information is converted into a state diagram, nodes in the diagram represent sampling points of the sensor, edges in the diagram represent time differences between latest sampling points of the sensor, and a proximity matrix in the diagram represents a connection relation between the edges of the nodes; establishing a graph convolutional neural network according to the state graph, wherein the graph convolutional neural network is used for estimating the alarm level and the alarm processing time of the train group operation state; training a graph convolutional neural network according to the historical state graph to obtain a trained graph convolutional neural network; and inputting the state diagram acquired in real time into the diagram convolutional neural network, and carrying out operation control perception supervision on the operation state of the train group. Through the technical means, the automatic and holographic sensing and monitoring capability of train operation safety risks along the heavy haul railway is enhanced, and a guarantee is provided for safe operation of a heavy haul train group.

    本公开涉及轨道交通运行控制技术领域,特别涉及一种重载列车群组运行控制感知方法及系统。通过不同传感器采集列车群组运行状态信息;将状态信息转化为状态图,图中节点表示传感器采样点,图中边表示传感器最新采样点之间的时间差值,图中临近矩阵表示节点之间边的连接关系;根据状态图建立图卷积神经网络,用于对列车群组运行状态进行预估报警等级和报警处理时间;根据历史状态图训练图卷积神经网络,得到已训练的图卷积神经网络;将实时采集的状态图输入到图卷积神经网络,对列车群组运行状态进行运行控制感知监督。通过技术手段增强重载铁路沿线列车运行安全风险自动化、全息化感知监测能力,为实现重载列车群组安全运行提供保障。


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    Title :

    Heavy-load train group operation control sensing method and heavy-load train group operation control sensing system


    Additional title:

    一种重载列车群组运行控制感知方法及系统


    Contributors:
    SONG ZONGYING (author) / XU LIYUAN (author) / SHI JIANG (author) / ZHANG CHENDONG (author) / CAO HAIBIN (author) / LI YANG (author) / WANG XINGZHONG (author) / LIU JUNNAN (author) / LI XIANGYI (author)

    Publication date :

    2024-11-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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