Advanced Railway Track Fault Detection and Reporting Over IoT Using ESP32 (KEY IJP************044)

• 1k. Abdul Rahman, 2aryan Jain, Anurag, Chandu Prasad,

Abstract

Abstract The efficient and reliable operation of railway networks is crucial for ensuring the safety and comfort of passengers. However, faults in railway tracks can lead to significant disruptions and maintenance costs. This paper presents an advanced railway track fault detection and reporting system using ESP32 and IoT technology. The system integrates ultrasonic and infrared sensors to monitor railway tracks in real-time, detecting faults and alerting maintenance personnel promptly. The ESP32 microcontroller acts as the central processing unit, managing data acquisition, analysis, and communication. The system provides real-time data visualization and audible alerts in the presence of a fault, ensuring timely and targeted responses. The Blynk app enables remote monitoring and control, providing access to the system from a remote location. The system's theoretical framework emphasizes the integration of IoT, sensor technology, and local alert mechanisms to create a smart and responsive railway track monitoring system. The real-time data provided by the sensors, coupled with the convenience of the Blynk app, offers a holistic approach to railway track monitoring and maintenance. The proposed system represents a paradigm shift in railway track maintenance practices, providing a technologically advanced and efficient solution for railway networks. By harnessing the capabilities of ESP32, ultrasonic and infrared sensors, and IoT communication, this project contributes to the creation of safer, more reliable, and more efficient railway networks.Keywords: Railway Track Fault Detection, IoT, ESP32, Ultrasonic Sensor, Infrared Sensor, Blynk App, Real-time Monitoring, Maintenance, Safety, Efficiency.