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A Visual Management System for Structural Health Monitoring Based on Web-BIM and Dynamic Multi-source Monitoring Data-driven

  • Research Article-Civil Engineering
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Abstract

Structural health monitoring (SHM) is one of the important works in the construction and maintenance stage. Since the sensors are widely distributed in space of building with huge and complex spatial structures, it is difficult to visualize and locate the hazard sources intuitively in 2D drawings. In this study, a visual warning framework for SHM is proposed based on the Web-BIM platform. Two modes are proposed to correlate the elements in building information model (BIM) with the sensors, the system makes the monitoring area correspond to the BIM model then realizes the visualization of sensors and monitoring areas on the BIM platform. Meanwhile, a Web-BIM application is developed which realizes the visualization of monitoring data and automatic warning by linking the database and background control with a web UI interface. This study also integrates IoT technology to automatically control the indicator lights based on real-time sensor data. The BIM model displays the virtual monitoring space and warning information, simultaneously combined with the on-site warning lights to convey the hazard information. The framework can be copied and applied to the development of the corresponding system, and the web application can easily realize the application of different projects. The research can provide a practical reference for remote structural health monitoring and safety management.

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Acknowledgements

The authors are grateful for the support provided by the Co-funding of the National Natural Science Foundation of China and Shenhua Group Corporation Ltd (Grant No. U1261212) and the Program of Major Achievements Transformation and Industrialization of Beijing Education Commission (Grant No. ZDZH20141141301).

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Authors and Affiliations

  1. School of Mechanics and Civil Engineering, China University of Mining and Technology (Beijing) , Beijing, 100083, China

    Gongyu Hou, Le Li, Zhedong Xu, Qinhuang Chen, Yijun Liu & Xueke Mu

  2. College of Mining, Engineering Geology, Xinjiang Engineering Institute, Urumqi, 830023, China

    Gongyu Hou

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  1. Gongyu Hou
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  2. Le Li
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Correspondence to Le Li.

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Hou, G., Li, L., Xu, Z. et al. A Visual Management System for Structural Health Monitoring Based on Web-BIM and Dynamic Multi-source Monitoring Data-driven. Arab J Sci Eng 47, 4731–4748 (2022). https://doi.org/10.1007/s13369-021-06268-1

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