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Digital twin system for early warning of regional intrusion behavior of personnel in deep foundation pit projects
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Peisong GONG, Xinyun SHEN, Bowen HAN, Shengyu GUO**, Guanqing PENG, Junhao ZHONG
China Safety Science Journal | 2025, 35(8) : 33 - 39
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China Safety Science Journal | 2025, 35(8): 33-39
• Safety social science and safety management •
Digital twin system for early warning of regional intrusion behavior of personnel in deep foundation pit projects
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Peisong GONG, Xinyun SHEN, Bowen HAN, Shengyu GUO**, Guanqing PENG, Junhao ZHONG
Affiliations
  • School of Economics and Management, China University of Geosciences, Wuhan Hubei 430074, China
Published: 2025-08-28 doi: 10.16265/j.cnki.issn1003-3033.2025.08.1471
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To address the dynamic risks in hazardous areas and the lack of timely warning of personnel intrusion within deep foundation pit, a digital twin system integrating BIM and UWB technology was developed. Initially, a virtual scene representing the deep foundation pit was constructed using the OurBIM 3D graphics engine. Second, a method for calibrating hazardous areas was proposed, and UWB technology was utilized to locate construction personnel and hazardous sources in real-time. Third, a real-time warning mechanism for personnel intrusion behavior was established, and a digital twin system was designed for regional intrusion warning of personnel in deep foundation pit, incorporating functionalities such as scene visualization, hazardous area definition, and warning data logging. Finally, the system was applied to a specific deep foundation pit in Wuhan. The results demonstrate that the system is capable of monitoring personnel intrusion behavior in two distinct types of hazardous areas within the deep foundation pit, achieving a comprehensive warning success rate of 97.4%. This system validates the feasibility and effectiveness of digital twin technology in the construction safety domain.

deep foundation pit  /  intrusion behavior  /  digital twins  /  hazardous areas  /  building information modeling (BIM)  /  ultra wide band (UWB)
Peisong GONG, Xinyun SHEN, Bowen HAN, Shengyu GUO, Guanqing PENG, Junhao ZHONG. Digital twin system for early warning of regional intrusion behavior of personnel in deep foundation pit projects[J]. China Safety Science Journal, 2025 , 35 (8) : 33 -39 . DOI: 10.16265/j.cnki.issn1003-3033.2025.08.1471
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Year 2025 volume 35 Issue 8
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.08.1471
  • Receive Date：2025-03-14
  • Online Date：2026-07-09
  • Published：2025-08-28
Article Data
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  • Received：2025-03-14
  • Revised：2025-05-18
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Affiliations
    School of Economics and Management, China University of Geosciences, Wuhan Hubei 430074, China
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表12种不同金属材料的力学参数
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Number of
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Number of
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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