Corrugation is a common rail damage phenomenon worldwide, delays in processing will directly lead to the deterioration of the subway train wheel rails' relationship, and affect traffic safety [1]. We can get the real-time kinetic data by use of the similar urban rail sensor network platform which was researched in Part five of the "863" project, and through discrimination operation, exclude the wheel, bearing, and other factors and get the track's real-time status information. In this way, we can find the track's bad state and locate the accurate position, promptly repair the track in a polished method, and truly achieve the repair according to the condition. If we configure 2-3 trains with this function in each line, we can finish monitoring of all tracks effectively, which has a practical significance for promotion.


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    Titel :

    The City Rail Safety Detection Sensor Network Platform Using Online Track Detection


    Beteiligte:
    Pang, Shaohuang (Autor:in) / Zhao, Weiping (Autor:in) / Dong, Honghui (Autor:in) / Peng, Wenlong (Autor:in) / Chen, Jianxiao (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    5 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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