The invention discloses an urban rail train energy-saving operation strategy online optimization method based on reinforcement learning, and relates to the technical field of urban rail train control, and the method comprises the steps: obtaining the historical operation data of an urban rail train and the operation route information of the urban rail train; and analyzing and processing according to the historical operation data of the urban rail train and the related position information of the operation route, and determining a ramp acceleration position and a curve deceleration position. The method comprises the following steps: analyzing speed data of historical operation of an urban rail train to determine station position information, ramp position information and curve position information of an operation route; the historical running speed data of the urban rail train is analyzed and processed through the ramp position information of the running route and the curve position information of the running route, the ramp acceleration position and the curve deceleration position are determined, and the problem that energy is wasted due to the fact that ramp acceleration and curve deceleration are too fast is avoided. Energy-saving control of the urban rail train in the running process is achieved, and the running cost is reduced.

    本发明公开了一种基于强化学习的城轨列车节能运行策略在线优化方法,涉及城轨列车控制技术领域,包括获取城轨列车的历史运行数据和城轨列车的运行路线信息;根据城轨列车的历史运行数据和运行路线的相关位置信息进行分析处理,确定坡道加速位置和弯道减速位置。本发明通过对城轨列车的历史运行的速度数据进行分析,确定运行路线的站点位置信息、运行路线的坡道位置信息和运行路线的弯道位置信息,然后,通过运行路线的坡道位置信息和运行路线的弯道位置信息对城轨列车的历史运行的速度数据进行分析处理,确定坡道加速位置和弯道减速位置,避免出现坡道加速和弯道降速过快浪费能源的问题,实现了城轨列车在运行过程中的节能控制,降低了运行成本。


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    Title :

    Urban rail train energy-saving operation strategy online optimization method based on reinforcement learning


    Additional title:

    一种基于强化学习的城轨列车节能运行策略在线优化方法


    Contributors:
    WANG XIAOKAN (author) / JIANG KEZHAO (author) / CHEN JIAN (author) / RAO XIAOHUI (author) / CHEN TIANCONG (author) / WANG DONGXIA (author) / ZHANG BO (author) / JIANG KEJUN (author) / WEI XIAOBING (author) / ZHANG HUAJUN (author)

    Publication date :

    2025-03-18


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL



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