IoT-Based Damage Detection and Warning Tool for Bridges Using Pressure and Vibration Sensors

Bridges are vital infrastructure that play an important role in supporting human mobility and the distribution of goods. Damage to bridges that is not detected early can pose serious risks in the form of accidents and economic losses. This study aims to design and implement a bridge damage detection and warning system based on the Internet of Things (IoT) by utilizing Load Cell sensors to detect excessive pressure/load and Gyroscope sensors to detect vibrations or tilting changes. The ESP32 microcontroller is used as the data processing center as well as a connection to the Blynk application via Wi-Fi, allowing the system to provide real-time notifications to users. Thus, this system has proven to be effective in automatically, efficiently, and cost-effectively monitoring the structural condition of bridges.