IoT-Based Bridge Health Monitoring System Using Cloud

Bridges are critical transportation infrastructures that require continuous health monitoring to
ensure public safety. Traditional inspection methods are manual, time-consuming, and prone to
human error. This project proposes an IoT-based smart bridge monitoring system using
vibration and strain sensors to detect abnormal stress, cracks, and vibration patterns.
Sensor data is transmitted to a microcontroller (e.g., NodeMCU/ESP32), which uploads the
readings to a cloud platform such as ThingSpeak or Blynk. When irregularities exceed
predefined thresholds, the system sends instant alerts to maintenance authorities via mobile
notifications or email. This real-time monitoring facilitates predictive maintenance, reduces
manual inspections, and prevents potential bridge failures through timely intervention.