结构健康监测
桥(图论)
预警系统
系统工程
计算机科学
过程(计算)
工程类
无线传感器网络
蓝牙
无线
实时计算
电信
结构工程
医学
计算机网络
操作系统
内科学
作者
Zhiguo He,Wentao Li,Hadi Salehi,Hao Zhang,Haiyi Zhou,Pengcheng Jiao
标识
DOI:10.1016/j.autcon.2022.104168
摘要
Integrated structural health monitoring (SHM) uses the mechanism analysis, monitoring technology and data analytics to diagnose the classification, location and significance of structural situations (e.g., sudden or cumulative damages) to ensure the functionality and operation of bridges. Integrated SHM systems have improved the maintenance, management and decision-making of bridges by continuously monitoring and evaluating working conditions. This review article discusses the current process and future trends of bridge monitoring focusing on the cutting-edge SHM technologies, transmission and analytics methods of the sensing data, and prediction and early-warning models. In particular, four extensively applied sensing technologies (i.e., fiber optic sensors, piezoelectric sensors, global navigation satellite system and magnetostrictive sensors) are reviewed and compared, the wireless data transmission approaches (i.e., ZigBee, Bluetooth, NB-IoT, Wi-Fi, LoRa) are discussed, the artificial intelligence-based data processing methods are presented, and the performance prediction and early warning systems are summarized. In the end, the challenges and future research avenues of the current integrated SHM systems are discussed with respect to the characteristics of bridges.
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