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Method of coupling identifying unsafe behaviors of underground personnel based on dual-model algorithm
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Bo TAN1, Longkun SUI**, 1, Wei KE2, Yan LIU2, Quanjie ZHU3, Ning HE3
China Safety Science Journal | 2026, 36(2) : 18 - 26
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China Safety Science Journal | 2026, 36(2): 18-26
• Safety Science Theories and Methods •
Method of coupling identifying unsafe behaviors of underground personnel based on dual-model algorithm
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Bo TAN1, Longkun SUI**, 1, Wei KE2, Yan LIU2, Quanjie ZHU3, Ning HE3
Affiliations
  • 1School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
  • 2Shiyan Company of Hubei Tobacco Company, Shiyan Hubei 442000, China
  • 3School of Emergency Technology and Management, North China Institute of Science and Technology, Sanhe Hebei 065201, China
Published: 2026-02-28 doi: 10.16265/j.cnki.issn1003-3033.2026.02.1372
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In order to prevent safety accidents caused by unsafe behaviors of underground personnel and to ensure their safety, by utilizing advanced machine vision and computer technologies, the traditional YOLOv5s algorithm and OpenPose algorithm target detection models were improved, and a dual-model coupled algorithm for identifying unsafe behaviors of underground personnel was proposed. Through statistical analysis of the most common unsafe behaviors in current underground coal mines, the unsafe behaviors of miners were classified, including item-related, action-related, and area-related unsafe behaviors. According to the characteristics of miners' unsafe behaviors, the improved YOLOv5s algorithm and the OpenPose algorithm were coupled for recognition, and training and verification were conducted on public datasets and self-built datasets. The results show that compared with the current mainstream methods, the dual-model coupled recognition method has a significant improvement in recognition accuracy on self-built datasets and public datasets, with an increase of 5% to 10%, and can quickly and effectively identify unsafe behaviors of underground personnel.

underground personnel  /  unsafe behaviors  /  dual-model algorithm  /  coupling identifying  /  object detection
Bo TAN, Longkun SUI, Wei KE, Yan LIU, Quanjie ZHU, Ning HE. Method of coupling identifying unsafe behaviors of underground personnel based on dual-model algorithm[J]. China Safety Science Journal, 2026 , 36 (2) : 18 -26 . DOI: 10.16265/j.cnki.issn1003-3033.2026.02.1372
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Year 2026 volume 36 Issue 2
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2026.02.1372
  • Receive Date：2025-09-10
  • Online Date：2026-07-08
  • Published：2026-02-28
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  • Received：2025-09-10
  • Revised：2025-11-18
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Affiliations
    1School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
    2Shiyan Company of Hubei Tobacco Company, Shiyan Hubei 442000, China
    3School of Emergency Technology and Management, North China Institute of Science and Technology, Sanhe Hebei 065201, China
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