This work introduces an improvised, cost effective system with renewable based electric vehicle that detects major faults in the railway track with better accuracy. Unlike the manually pulling cart used conventionally, this vehicle is automated and controlled by Raspberry Pi. Image processing is introduced to detect faults like vertical broken rail, horizontal split head and broken base. For the detection of crushed head and misalignment of tracks, ultrasonic sensor are employed. In addition to this, vibration sensors are used to find the faulty areas in the track. The information regarding the faults can be used to do Job scheduling in order to make the rectifying process easier. This is implemented using GSM module and Raspberry Pi. A periodic communication is done between the vehicle and the control room for efficient working of the system. The vehicle is eco-friendly as it uses the renewable source solar energy to power the vehicle. A number of test cases are tested for each fault and its values are recorded.


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    Titel :

    Automated Railway Track Fault Detection Using Solar Powered Electric Vehicle


    Beteiligte:
    Bhagyalekshmi, S. (Autor:in) / Jayasudha (Autor:in) / Maya, A. (Autor:in) / Riju, Gautham (Autor:in) / Mathew, Nikhitha (Autor:in) / Ravikumar Pandi, V. (Autor:in)


    Erscheinungsdatum :

    01.04.2019


    Format / Umfang :

    728773 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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