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Real Time Control System for Metro Railways Using PLC & SCADA

Ishu Tomar*, Indu Sreedevi, Neeta Pandey

Department of Electronics and Communication Engineering, Delhi Technological University, Delhi, 110042, India

* Corresponding Author: Ishu Tomar. Email: email

Intelligent Automation & Soft Computing 2023, 35(2), 1403-1421. https://doi.org/10.32604/iasc.2023.028163

Abstract

This paper proposes to adopt SCADA and PLC technology for the improvement of the performance of real time signaling & train control systems in metro railways. The main concern of this paper is to minimize the failure in automated metro railways system operator and integrate the information coming from Operational Control Centre (OCC), traction SCADA system, traction power control, and power supply system. This work presents a simulated prototype of an automated metro train system operator that uses PLC and SCADA for the real time monitoring and control of the metro railway systems. Here, SCADA is used for the visualization of an automated process operation and then the whole operation is regulated with the help of PLC. The PLC used in this process is OMRON (NX1P2-9024DT1) and OMRON’s Sysmac studio programming software is used for developing the ladder logic of PLC. The metro railways system has deployed infrastructure based on SCADA from the power supply system, and each station’s traction power control is connected to the OCC remotely which commands all of the stations and has the highest command priority. An alarm is triggered in the event of an emergency or system congestion. This proposed system overcomes the drawbacks of the current centralized automatic train control (CATC) system. This system provides prominent benefits like augmenting services which may enhance a network’s full load capacity and network flexibility, which help in easy modification in the existing program at any time.

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Cite This Article

I. Tomar, I. Sreedevi and N. Pandey, "Real time control system for metro railways using plc & scada," Intelligent Automation & Soft Computing, vol. 35, no.2, pp. 1403–1421, 2023. https://doi.org/10.32604/iasc.2023.028163



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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