An integrated system for tunnel construction safety control based on BIM–IoT–PSO

A reasonable tunnel construction scheme is the key to preventing tunnel accidents and reducing cost waste. Aiming at a series of problems such as geological uncertainty, blindness of the construction scheme, and abstraction of construction data faced by tunnel construction, this paper uses building...

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Veröffentlicht in:Journal of civil structural health monitoring 2024-02, Vol.14 (2), p.269-284
Hauptverfasser: Jiang, Hongren, Jiang, Annan
Format: Artikel
Sprache:eng
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Zusammenfassung:A reasonable tunnel construction scheme is the key to preventing tunnel accidents and reducing cost waste. Aiming at a series of problems such as geological uncertainty, blindness of the construction scheme, and abstraction of construction data faced by tunnel construction, this paper uses building information modelling (BIM) technology, the Internet of things (IoT) technology, and particle swarm optimization (PSO) algorithm to establish an integrated intelligent system framework for tunnel information feedback construction. The idea of integration of this platform is introduced first. Furthermore, BIM tunnel IFC extension information integration technology, improved tunnel multi-information monitoring IoT technology, back-analysis of surrounding rock parameters, and optimization of the construction scheme based on PSO were discussed in detail. The tunnel construction feedback analysis process is proposed on this platform. The integrated system framework is applied to the construction of the Zhenfengling tunnel in Jilin Province, China, demonstrating that the proposed intelligent integration framework is effective. The IoT monitoring and the BIM information integration functions are feasible. Feedback analysis of anchoring parameters is fast and accurate. This platform integrates the advantages of multiple current technologies, reflects the trend of intelligence, visualization, and automation in tunnel information construction, and is of great significance for the advancement of digital and intelligent tunnel construction technology. The results of the anchoring parameters provide references for the tunnel construction studied.
ISSN:2190-5452
2190-5479
DOI:10.1007/s13349-023-00721-5