IoT-Based Bridge Monitoring System

Bridges are vital components of a country's transportation infrastructure, facilitating the movement of people and goods. However, due to factors like aging, overloading, environmental influences, and natural disasters, bridges are subject to structural degradation over time. Traditional methods of bridge inspection are often labor- intensive, time-consuming, and prone to human error. To address these challenges, this project proposes an IoT- based Bridge Monitoring System that provides realtime, remote, and continuous structural health monitoring using a network of smart sensors and microcontrollers. The system integrates various sensors such as vibration sensors, strain gauges, tilt sensors, temperature and humidity sensors, and displacement sensors to continuously monitor critical structural parameters. These sensors are interfaced with an IoT-enabled microcontroller which collects the sensor data and transmits it to a cloud-based platform for storage, analysis, and visualization. Platforms such as ThingSpeak, Blynk, or Firebase are employed to display real-time data and trends, allowing engineers and authorities to assess the condition of the bridge remotely. In addition, the system incorporates threshold-based alerts. When any parameter exceeds the predefined safety limit, the system automatically triggers notifications via SMS, email, or app-based alerts. This ensures that potential structural issues can be identified early, reducing the risk of catastrophic failures and enabling timely maintenance interventions