Early Warning System (EWS) at level crossing gates is a system used to provide early warning in the form of signals or lights and siren sounds when a train is approaching crossed. This level crossing is prone to accidents. In order to improve railway security and safety, railway facility detectors have an important role in passenger safety nationally. This facility detection system uses an inductive proximity sensor. This vehicle detection system was created to find out what type of equipment has passed and to determine the axle pattern. This tool is designed using hardware and devices soft. The hardware consists of inductive proximity sensors, LCD, I2C, and Personal Computer. Meanwhile, the software consists of Arduino IDE and Visual Basic Studio. In this tool, the sensor is installed parallel to the track with a distance between sensor 1 and sensor 2, namely 60 cm. Based on the tests that have been carried out, this tool can detect the type of passing vehicle which can be determined based on the axle pattern. This sensor can detect well if it is placed at the optimal limit, namely 1 – 4 mm. The output of this type of passing vehicle can be seen on the LCD, while the axle pattern can be seen in the form of a sinusoidal wave via the Visual Basic Studio application. In calculating the average percentage of error on the tool, the percentage result is 0%, which means the tool can work well.


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    Titel :

    Detection of Railways Through Axle Detection Patterns Using Inductive Proximity Sensors


    Weitere Titelangaben:

    Advances in Engineering res


    Beteiligte:
    Pradipta, Andri (Herausgeber:in) / Wirawan, Willy Artha (Herausgeber:in) / Kobayashi, Hiroyasu (Herausgeber:in) / Prasetijo, Joewono (Herausgeber:in) / Ariani, Lusi (Autor:in) / Winjaya, Fathurrozi (Autor:in) / Rachman, Natriya Faisal (Autor:in)

    Kongress:

    International Conference on Railway and Transportation ; 2023 ; Madiun, Indonesia November 02, 2023 - November 02, 2023



    Erscheinungsdatum :

    20.02.2024


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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