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Multimodal large model-based approach for construction safety hazard recognition
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Siqi AN1, Anglin CAI2, Zicheng MA2, Baoyan ZHU**, 1
China Safety Science Journal | 2025, 35(9) : 185 - 192
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China Safety Science Journal | 2025, 35(9): 185-192
Safety engineering technology
Multimodal large model-based approach for construction safety hazard recognition
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Siqi AN1, Anglin CAI2, Zicheng MA2, Baoyan ZHU**, 1
Affiliations
  • 1School of Safety Science and Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
  • 2School of Science, China University of Mining and Technology-Beijing, Beijing 100083, China
Published: 2025-09-28 doi: 10.16265/j.cnki.issn1003-3033.2025.09.1298
Outline
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In order to enhance the automatic recognition of safety hazards and improve safety management in construction scenarios, a multimodal large-model-based method for construction safety hazard recognition was proposed and its core component—the multimodal safety hazard recognition model, LLaVA(Large Language and Vision Assistant)-CS(Construction Site), was implemented. The system integrated images (construction site photos) with safety operating procedures (worker behavior descriptions), leveraging multimodal learning and deep learning technologies to perform real-time monitoring and analysis of construction sites. To support the system's effective operation, a multimodal dataset covering complex conditions such as varying lighting, occlusions, and multi-person scenarios was constructed, addressing the gaps in existing public datasets. Through prompt tuning of the LLaVA-1.5 model, the LLaVA-CS model effectively integrated visual and textual information, enhancing the accuracy and interpretability of safety hazard recognition. Experimental results show that this method achieves an accuracy of 0.722 2 in multiple real-world construction projects, generating detailed explanatory texts in real time to help managers quickly understand specific safety hazard contexts, thereby improving decision-making in safety management. This study innovatively applies multimodal large models to construction safety management systems, providing real-time, interpretable safety monitoring solutions and offering new technical support and optimization directions for construction safety management.

multimodal large model  /  construction safety hazards  /  complex construction scenarios  /  accident prevention  /  tips for tuning
Siqi AN, Anglin CAI, Zicheng MA, Baoyan ZHU. Multimodal large model-based approach for construction safety hazard recognition[J]. China Safety Science Journal, 2025 , 35 (9) : 185 -192 . DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1298
Year 2025 volume 35 Issue 9
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.09.1298
  • Receive Date:2025-04-11
  • Online Date:2026-07-09
  • Published:2025-09-28
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  • Received:2025-04-11
  • Revised:2025-06-15
Affiliations
    1School of Safety Science and Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
    2School of Science, China University of Mining and Technology-Beijing, Beijing 100083, China
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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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