SMART RAILWAY TRACK HEALTH MONOTORING SYSTEM by IOT

Abstract: Undetected railway track anomalies, such as surface cracks and tilting, pose severe safety risks to modern transportation networks. To address this vulnerability, this paper presents a Smart Railway Track Health Monitoring System utilizing Industrial Internet of Things (IIoT) principles for continuous, real-time structural assessment. Powered by an ESP32 microcontroller and the ESP RainMaker cloud platform, the framework autonomously scans for physical faults, alignment shifts, and leveling irregularities. Sensor telemetry is processed locally and routed directly to the cloud, pushing instant, percentage-based severity alerts to remote control room personnel. By replacing reactive manual inspections with an automated predictive pipeline, this low-cost system significantly accelerates maintenance response times, minimizes operational downtime, and ensures a safer railway infrastructure.

Keywords: IoT, ESP32, Railway Crack Detection, Tilt Sensor, VibrationSensor, Arduino Uno, Track Monitoring, Railway Safety