Citation:
Gankang Zheng, Yuelei He, Leshan Wan. Research on Health Monitoring Data Visualization and Early Warning Systems for Mega-Span Railroad Bridges Based on Digital Twin Technology. Journal of Information Technologyin Civil Engineering and Architecture,
2024, 16(4): 65-69.
doi: 10.16670/j.cnki.cn11-5823/tu.2024.04.12
2024, 16(4): 65-69. doi: 10.16670/j.cnki.cn11-5823/tu.2024.04.12
Research on Health Monitoring Data Visualization and Early Warning Systems for Mega-Span Railroad Bridges Based on Digital Twin Technology
| 1. | School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China |
| 2. | Huai'an High-speed Railway Infrastructure Section of China Railway Shanghai Bureau Group Co., Huai'an 22300, China |
Bridge health monitoring is a crucial technical method to ensure the safe operation of bridges. This paper focuses on the health monitoring system data of a mega-span railroad bridge along the Yangtze River, aiming to effectively visualize the massive data and enhance the interactivity between the data and the model. Utilizing secondary development technology of Revit, the study describes the process and outcomes of achieving monitoring data visualization. The results indicate that by integrating the health monitoring system database with Revit software, the method constructs a visualization platform for bridge monitoring information view management and safety assessment. This platform archives effective visualization of monitoring information and early safety warnings.
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