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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM43607
Volume:
9 |
4 |
Apr 2025
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Electrical and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Department of Electrical and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Department of Electrical and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Department of Electrical and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Railway safety requires continuous monitoring of tracks, platforms, and train compartments to reduce accidents caused by track defects, obstacles, fire, and improper platform management. This paper presents an IoT-based Railway Management System designed to provide automated monitoring and rapid response to hazardous railway conditions. The proposed system employs an Arduino Uno as the main controller along with IR sensors, ultrasonic sensors, a fire sensor, NodeMCU, ZigBee communication, LCD display, relays, DC motors, and a water-sprinkling mechanism. IR and ultrasonic sensors are employed for track and obstacle monitoring, while IR sensors at the station are used to determine platform availability. A fire sensor continuously monitors fire conditions and initiates safety actions such as water sprinkling and compartment/engine detachment when a fire is detected. The IoT communication facility enables detected events to be transmitted to a mobile application over Wi-Fi, providing real-time information regarding railway conditions. Experimental implementation demonstrates the detection of right-side and left-side track cracks and fire conditions, with corresponding warning messages transmitted to the mobile application. The developed system therefore combines track monitoring, platform availability detection, fire protection, and wireless communication in an integrated railway safety framework.
KEYWORDS
An IoT-based Railway Management System has been developed to improve railway safety through automated monitoring and communication. The system integrates IR and ultrasonic sensors for track and obstacle monitoring, fire sensing for emergency detection, platform availability monitoring, Arduino-based control, and IoT communication. Automatic monitoring can reduce the risk associated with railway-track cracks and fire incidents while reducing the requirement for manual track inspection. The implemented prototype demonstrates track-crack detection, fire detection, platform monitoring, and transmission of warning information through wireless communication. Future development can incorporate predictive maintenance, 5G-based communication, additional environmental sensors, smart-city integration, and large-scale implementation in railway and metro networks.
[1] Kalpanansharma, Jagdish Kumawat, Saurabh Maheshwari, and Neeti Jain, “Railway Security System Based on Wireless Sensor Networks—State of the Art,” 2014. [2] Diksha Nagdevte, Mohammad Zakir, Anand Muley, and A. H. Shelar, “Detection of Crack in Rail Road Using Ultrasonic and PIR Sensor,” 2014. [3] J. C. Priyanka, A. Saranya, L. C. Shanmathi, and S. Baranikumar, “Automatic Level Crossing Gate with Database Collection,” 2015. [4] Jun Zhang and Guiyun Tian, “An Evolution of RFID Grids for Crack Detection,” 2017. [5] Sumit Pandey, Abhishek Mishra, Pankaj Gaur, Amrindra Pal, and Sandeep Sharma, “Automatic Fire Initiated Braking and Alert System for Trains,” 2016. [6] Victoria J. Hodge, Simon O’Keefe, Michael Weeks, and Anthony Moulds, “Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey,” IEEE Transactions on Intelligent Transportation Systems, 2015. [7] Bo Ai et al., “Challenges Toward Wireless Communications for High-Speed Railway,” IEEE Transactions on Intelligent Transportation Systems, 2014. [8] Ch. Muneendra Rao and B. R. Bala Jaswanth, “Crack Sensing Scheme in Rail Tracking System,” International Journal of Engineering Research and Application, 2014.
Publication Date
4/28/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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