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- Title
Research on Identification Method of Safety Behavior in Power Engineering Site Based on KanBIM and Internet of Things.
- Authors
JIA Yun-bo; ZHANG Yong-xin; HUANG Wei-wen; HE Dong-cheng; CAI Dai-han
- Abstract
Aiming at the problem of safety behavior in a power construction site, this paper studies the method of power engineering site safety behavior identification based on KanBIM and Internet of things technology. The traditional fast r-cnn model is improved to enhance the accuracy of video surveillance recognition. The video surveillance effect is strengthened by increasing the number of model anchors, improving the loss function, and refining feature image interpolation prediction. Experiments show that the algorithm has obvious advantages in terms of accuracy and precision in helmet management and unsafe behaviors identification, and can be used to identify safe behaviors in power construction sites.
- Subjects
INTERNET of things; HELMETS; VIDEO surveillance; BUILDING sites; INDUSTRIAL safety; ENGINEERING
- Publication
Journal of Engineering Management / Gongcheng Guanli Xuebao, 2022, Vol 36, Issue 5, p154
- ISSN
1674-8859
- Publication type
Article
- DOI
10.13991/j.cnki.jem.2022.05.027