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.
| [1] |
李明柱, 李扬, 邹亮. 基于BIM的斜拉桥结构健康监测可视化应用研究[J]. 建筑安全, 2020, 35(12): 72-75. |
| [2] |
高佐人, 彭卫兵, 吕建鸣. 可设计重构的桥梁信息模型研究[J]. 公路交通科技(应用技术版), 2009(04)154-158. |
| [3] |
李旭梅. 基于BIM的桥梁安全评估管理系统研究[D]. 重庆: 重庆大学, 2021. |
| [4] |
Moon H, Kim H, Kang L. Development Strategies and feasibility evaluation of maintenance operation system for railway bridge based on ubiquitous-BIM technology[J]. Journal of the Korean Society for Railway, 2012, 15: 459-466.doi: 10.7782/JKSR.2012.15.5.459 |
| [5] |
Mcguire B M. Using building information modeling to track and assess the structural condition of bridges[D]. USA: Colorado State University, 2014. |
| [6] |
陈华鹏, 鹿守山, 雷晓燕, 等. 数字孪生研究进展及在铁路智能运维中的应用[J]. 华东交通大学学报, 2021, 38(04): 27-44. |
| [7] |
Ye C, Butler L, Calka B, et al. A Digital Twin of Bridges for Structural Health Monitoring[C]//Proceedings of the 12th International Workshop on Structural Health Monitoring 2019, 2019. |
| [8] |
王孟. 变形前后的两次建模在Revit二次开发中的实现[D]. 南昌: 南昌大学, 2021. |
| [9] |
韩冬辰, 张弘, 刘燕, 等. 从BIM到BDT: 关于建筑数字孪生体(BDT)的构想研究[J]. 建筑学报, 2020(10): 95-101. |
| [10] |
胡茗泉, 姜谙男, 于海, 等. 基于BIM的拱盖法地铁车站多元信息监测系统设计与开发[J]. 土木建筑工程信息技术, 2021, 13(5): 20-27. |
| [11] |
方睿. 基于Revit二次开发在放样及变形监测中的应用研究[D]. 合肥: 合肥工业大学, 2019. |
| [12] |
赵强, 张景煜, 刘跃, 等. 基于BIM的地铁站安全设备信息族库构建与应用[J]. 土木建筑工程信息技术, 2021, 13(04): 67-73. |
| [13] |
彭博荣, 彭仪普, 孟非, 等. 长株潭城际铁路沉降预测模型比较与基于Revit的可视化[J]. 铁道科学与工程学报, 2022, 19(02): 391-398. |
Metrics
- PDF Downloads(29)
- Abstract views(1274)
- HTML views(249)
