The height and stagger of the contact wire directly affect the energy supply of high-speed trains. To ensure the operation safety, there is an urgent demand for high-speed railways to measure the static parameters of contact wires all over the line with high precision and efficiency. However, this issue is barely discussed. Concerning the issue, this paper proposes a UAV-LiDAR-based measuring framework for the static height and stagger of high-speed railway contact wire. By mounting LiDAR on the UAV, the framework can efficiently collect data from the lines in service without occupying the train operating-diagrams. It is extremely significant for the high-speed and high-density railways. Then, we present self-adaptive extraction algorithms to extract critical infrastructures (rails, contact wires, masts and other suspensions) based on their specific geometric characteristics as well as the continuity and consistency of the spatial distributions along the line. Finally, the height and stagger are calculated by formulas automatically. To verify the framework in practice, we tested it on Beijing-Shanghai high-speed railway, which is the busiest high-speed railway in China. It is shown that the measurement error is within 9mm and the framework has potential to reform the inspection of high-speed railways.


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    Titel :

    UAV-LiDAR-Based Measuring Framework for Height and Stagger of High-Speed Railway Contact Wire


    Beteiligte:
    Geng, Yixuan (Autor:in) / Pan, Fengjun (Autor:in) / Jia, Limin (Autor:in) / Wang, Zhipeng (Autor:in) / Qin, Yong (Autor:in) / Tong, Lei (Autor:in) / Li, Shiqi (Autor:in)


    Erscheinungsdatum :

    2022-07-01


    Format / Umfang :

    5793863 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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