JARDJournal of Architectural Research and Development2208-35292208-3537Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jard.v8i3.7169ArticleReview and Prospect of Research on Structural Health Monitoring Technology for Bridgeshttps://artdesignp.com/journal/JARD/8/3/10.26689/jard.v8i3.7169LiuGuoyi2024832024-06-17As a crucial infrastructure in the transport system, the safe operation of bridges is directly related to all aspects of people’s daily lives. The development of bridge structural health monitoring technology and its application play an important role in ensuring the safety and extending the service life of bridges. This paper carries out in-depth research and analysis on the related technology of bridge structural health monitoring. Firstly, the existing monitoring technologies at home and abroad are sorted out, and the advantages and problems of various methods are compared and analyzed, including nondestructive testing, stress measurement, vibration characteristic identification, and other commonly used monitoring technologies. Secondly, the key technologies and equipment in the bridge health monitoring system, such as sensor technology, data acquisition, and processing technology, are introduced in detail. Finally, the development trend in the field of bridge health monitoring is prospected from both theoretical research and technical application. In the future, with the development of emerging technologies such as big data, cloud computing, and the Internet of Things, it is expected that bridge health monitoring with intelligent and systematic features will be more widely applied to provide a stronger guarantee for the safe and efficient operation of bridges.

Zhang J, 2019, Bridge Structure Safety Monitoring Technology and Application. China Real Estate Industry, 2019(01): 195.

Yue J, Hao J, Lu H, et al., 2022, Anomaly Handling Methods for Bridge Structure Monitoring Data. Journal of Wuhan Institute of Technology, 44(01): 107–111.

Wu X, Deng T, Chen B, et al., 2021, Research on Big Data Compression Sensing for Operating Tunnel Structure Health Monitoring Systems. Tunnel Construction (Chinese and English), 41(04): 674–683.

Wang N, 2023, Research on Network Data Security Monitoring and Management Based on Big Data Technology. Software, 44(09): 145–147.

Chen X, 2023, Sensor Technology and Data Analysis in Bridge Structure Health Monitoring. Database of Chinese Scientific and Technical Journals (Full-text Version) Engineering Technology, 2023(09): 95–98

Hao Z, Zhao L, Han B, 2020, Design and Implementation of a Data Collection System for Bridge Health Monitoring.” Sensor Technology and Applications, 8(02): 45–51.

Han J, 2019, Big Data Processing Technologies and Applications for Bridge Health Monitoring. Engineering Technology Research (Encyclopedia), 1(04): 15–16.

Sun L, Shang Z, Xia Y, 2019, Current Status and Prospects of Bridge Structure Health Monitoring Research in the Context of Big Data. China Journal of Highway and Transport, 32(11): 1–20.

Cao W, Xu Y, 2020, Design of a Bridge Structure Health Monitoring Data Collection System Based on LabVIEW. Engineering Technology Research, 5(18): 204–205.

Tang Y, 2023, Research on Data Collection and Data Transmission Subsystems for Bridge Health Monitoring. Western Transportation Science and Technology, 2023(02): 89–91.

Chen A, Li Z, Pan Y, et al., 2023, Bridge Health Monitoring Data Audit Method Based on Benford’s Law. Journal of Tongji University: Natural Science, 51(4): 534–541.

Li S, Hou L, Tang B, et al., 2023, Predictive Model for Bridge Health Monitoring Data Based on the ICEEMDAN-BiLSTM-ARIMA Combination Model. Computer and Modernization, 2023(7): 36–42.

Wang D, Zhou T, Fu J, et al., 2023, Research on Multisource Heterogeneous Data Integration for Large Bridge Health Monitoring Systems. International Roads, 43(2): 100–106.

Chen Z, Chang J, 2023, Application of Ridge Regression and SARIMA Methods in Bridge Health Monitoring Data Analysis. Science Technology and Engineering, 23(20): 8846–8853.

Wang L, Li W, Gao Y, et al., 2024, A Real-time Wind Speed Calculation Method and System for Bridge Structure Health Monitoring, State Intellectual Property Office, CN202211484936.7.

Lei D, Zhao J, Chen Z, et al., 2023, Sensor Layout Scheme for Health Monitoring Systems of Small and Medium-span Bridges. World of Traffic, 2023(14): 187–189.

Dong S, Long Z, Fu J, et al., 2023, Bridge Structure Monitoring Data Analysis Method Based on Savitzky-Golay Smoothing-Wavelet Denoising. Bulletin of Surveying and Mapping, 2023(9): 100–106. https://www.doi.org/10.13474/j.cnki.11-2246.2023.0272

Cai W, Dai H, Wang J, et al., 2023, Vibration Displacement Identification of a Double-Column Bridge Pier with Buckling Restrained Braces Based on the KCF Algorithm. Engineering Mechanics, 41: 1–12. https://www.doi.org/10.6052/j.issn.1000-4750.2023.05.0345

Wang X, Ma M, Gao L, et al., 2023, Continuous Automatic Identification of Modal Parameters and Analysis of Frequency Variability Using the FDD Method. Journal of Chongqing Jiaotong University: Natural Science, 42(3): 7–16.

Zhong G, Liu S, Xu R, et al., 2023, Research on Cable Vibration Frequency Identification Methods Considering the Impact of Abnormal Monitoring Data. Journal of Central South University (Science and Technology), 54(12): 4870–4881.