Monitoring Kemiringan Dan Penurunan Pada Purwarupa Jembatan Berbasis IoT

Abstract

Bridges are vital infrastructure that connect two separate areas and play a crucial role in supporting the smooth flow of economic and social activities. However, bridge structures often experience damage such as cracks, tilting, and subsidence due to natural influences, aging materials, excessive loads, and a lack of routine maintenance. Manual monitoring systems are ineffective in detecting early signs of damage in real time, necessitating a more modern technological approach. This research aims to create a system that can automatically monitor the slope and subsidence of a bridge using Internet of Things (IoT) technology. This system uses an MPU6050 gyro sensor to detect the slope, and an ESP8266 WIFI module for data processing and wireless transmission. Data from the sensor will be displayed directly in graphical form in web software, and is also equipped with a green indicator light for safe conditions, and red for damage. The test results show that the designed monitoring system is capable of detecting changes in slope and settlement on the bridge prototype in real-time. The MPU6050 sensor can read the slope angle well, where a safe condition is indicated by an angle value close to 0°, while an unsafe condition is detected when the slope angle exceeds ±5° or a settlement of ≥5 mm. The measurement data was successfully sent and displayed on the Adafruit IO platform, and the LED indicator system functions according to the bridge condition. This proves that the created system can be used as an effective initial monitoring tool for bridge structure conditions.