Research on multi‐source and heterogeneous data integration of large bridge health monitoring system
Abstract
Large bridge health monitoring systems are characterized by numerous sensors, diverse types, various communication methods, and flexible network configurations. The multi-source heterogeneous nature of the data poses significant challenges for data integration. To address the application requirements of bridge health monitoring, this paper designs a multi-source heterogeneous data integration scheme. The scheme achieves structured storage of multi-source heterogeneous data and introduces the concept of “structured communication.” This enables structured communication configuration, unified communication control, and flexible data processing, standardizing and simplifying communication configuration management in data acquisition systems. These improvements enhance code simplicity, maintainability, and the overall integration level of the software platform for large bridge health monitoring systems. The proposed scheme has been applied to the structural health monitoring system of the Jiujiang Yangtze River Highway Bridge. The results show that the system interface is user-friendly, and the system operates stably and reliably, demonstrating practical value.
Publication Date
5-11-2023
DOI
10.14048/j.issn.1671-2579.2023.02.018
First Page
100
Last Page
106
Submission Date
March 2025
Recommended Citation
Daijun, WANG; Tiantu, ZHOU; Junmin, FU; Xing, CHEN; Shuai, LU; and Zheng, YU
(2023)
"Research on multi‐source and heterogeneous data integration of large bridge health monitoring system,"
Journal of China & Foreign Highway: Vol. 43:
Iss.
2, Article 18.
DOI: 10.14048/j.issn.1671-2579.2023.02.018
Available at:
https://zwgl1980.csust.edu.cn/journal/vol43/iss2/18
Reference
[1] 孙利民, 尚志强, 夏烨. 大数据背景下的桥梁结构健康监测研究现状与展望[J]. 中国公路学报, 2019, 32(11): 1-20. SUN Limin, SHANG Zhiqiang, XIA Ye. Development and prospect of bridge structural health monitoring in the context of big data[J]. China Journal of Highway and Transport, 2019, 32(11): 1-20. [2] 张丰. 东江大桥健康监测系统设计[J]. 中外公路, 2016, 36(4): 202-206. ZHANG Feng. Design of health monitoring system for Dongjiang bridge[J]. Journal of China & Foreign Highway, 2016, 36(4): 202-206. [3] 胡兴意, 陈波, 刘国强, 等. 融合BIM与影像建模技术的桥梁检测方法及其应用研究[J]. 中外公路, 2020, 40(1): 107-112. HU Xingyi, CHEN Bo, LIU Guoqiang, et al. Research on bridge detection method and application integrating BIM and image modeling technology[J]. Journal of China & Foreign Highway, 2020, 40(1): 107-112. [4] 任普, 丁幼亮, 李亚东, 等. 基于大数据的桥梁健康监测数据存储及预警方法[J]. 科学技术与工程, 2019, 19(12): 266-270. REN Pu, DING Youliang, LI Yadong, et al. Data storage and early-warning methods of bridge health monitoring system based on big-data[J]. Science Technology and Engineering, 2019, 19(12): 266-270. [5] 曹素功, 黄立浦, 张勇, 等. 桥梁健康监测数据的结构化存储与分析[J]. 中外公路, 2019, 39(2): 102-108. CAO Sugong, HUANG Lipu, ZHANG Yong, et al. Structured storage and analysis of brdge health monitoring data[J]. Journal of China & Foreign Highway, 2019, 39(2): 102-108. [6] 刘天成, 程潜, 王小宁, 等. 基于BIM的平塘特大桥建养多源信息融合技术及系统研发[J]. 公路, 2019, 64(9): 12-17. LIU Tiancheng, CHENG Qian, WANG Xiaoning, et al. Multi-source information incorporation technology and system development of Pingtang major bridge based on BIM[J]. Highway, 2019, 64(9): 12-17. [7] 邓扬, 丁幼亮, 李爱群. 桥梁健康监测海量数据分析与评估[M]. 2版. 北京: 人民交通出版社, 2021. DENG Yang, DING Youliang, LI Aiqun. Analysis and assessment of bridge health monitoring mass data[M]. 2nd ed. Beijing: China Communications Press, 2021. [8] ZHANG Zhengxin, LIU Qianhui. Research of bridge health monitoring data acquisition system[J]. Boletin Tecnico/Technical Bulletin,2017,55(10):411‑418. [9] 王代君, 华鹏. 大型桥梁健康监测系统数据存储优化设计[J]. 中外公路, 2019, 39(5): 176-178. WANG Daijun, HUA Peng. Optimal design of data storage for large-scale bridge health monitoring system[J]. Journal of China & Foreign Highway, 2019, 39(5): 176-178.
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