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Railway transportation plays a vital role in public and goods movement, but accidents caused by track faults remain a major safety concern. This paper presents an Internet of Things (IoT)-based Railway Track Fault Detection System designed to monitor and identify track irregularities in real time. The proposed system uses smart sensors such as vibration, ultrasonic, and temperature sensors to detect cracks, misalignments, or other structural defects on the railway track. The collected data is transmitted through wireless communication modules to a cloud-based platform for continuous monitoring and analysis. When a fault is detected, the system immediately alerts maintenance authorities via mobile or web notifications, enabling timely inspection and repair. The integration of IoT technology ensures high accuracy, low maintenance, and scalability, reducing manual inspection efforts and minimizing the risk of accidents. Experimental results demonstrate that the proposed system provides an efficient, cost-effective, and reliable solution for enhancing railway safety and operational efficiency.
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Copyright © 2020, This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NY-SA). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Corresponding Author: A V N CHANDRA SEKHAR, dravncs@sasi.ac.in
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Conflict of interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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