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As an important transportation infrastructure, bridge directly affects public safety and economic operation. With the aging of Bridges and the increase of traffic load, the traditional bridge maintenance methods cannot meet the current needs. Therefore, it is particularly important to develop a bridge structural health monitoring system based on sensor data. The purpose of this paper is to explore and implement a comprehensive monitoring and early warning system for bridge structural health, evaluate bridge health status in real time, and warn potential structural problems in time. The results show that the sensor-based bridge health monitoring system can not only monitor the health status of the bridge in real time, but also predict and warn the potential structural problems through data analysis technology, so as to provide decision support for the maintenance and repair of the bridge. Based on the continuous progress of technology, future bridge health monitoring systems will become more intelligent and automated.
Zhengxiao Hu (Tue,) studied this question.