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A review of technology development of large language model and knowledge graph in field of construction safety
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Rongyong ZHAO1, Xingzhu PENG1, Bingyu WEI1, Guoyi ZENG2, Fengnian LIU3, Peng YAN4
China Safety Science Journal | 2025, 35(12) : 1 - 7
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China Safety Science Journal | 2025, 35(12): 1-7
• Safety social science and safety management •
A review of technology development of large language model and knowledge graph in field of construction safety
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Rongyong ZHAO1, Xingzhu PENG1, Bingyu WEI1, Guoyi ZENG2, Fengnian LIU3, Peng YAN4
Affiliations
  • 1School of Electronic and Information Engineering, Tongji University, Shanghai 201804, China
  • 2Shanghai Aircraft Manufacturing Co., Ltd., Shanghai 201324, China
  • 3Shanghai KARON ECO-VALVE Manufacturing Co., Ltd., Shanghai 201812, China
  • 4School of Computer Science and Technology, Tongji University, Shanghai 201804, China
Published: 2025-12-28 doi: 10.16265/j.cnki.issn1003-3033.2025.12.0044
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In order to clarify the potential research value and application prospects of LLMs and KG technologies in the field of construction safety, the existing problems in the knowledge-driven digital transformation of this domain were comprehensively analyzed, and the current state of technological development regarding knowledge graphs and large language models within it was reviewed. First, relevant literature was retrieved from the China National Knowledge Infrastructure (CNKI) and Web of Science(WoS) databases to define the scope of analysis. Then, the existing problems and challenges in the digital transformation of construction safety were analyzed, and the necessity of introducing KG and LLM was elaborated. Subsequently, the technological development of KG and LLM, along with the current status of their application research in construction safety, was briefly described. Preliminary achievements in the integrated application of KG and LLM within the construction safety domain were explored. Finally, the shortcomings of existing research were summarized, and future research directions are outlined. The results indicate that LLMs and KG technologies have demonstrated significant application potential in various scenarios within construction safety, including knowledge management, risk identification, and intelligent decision-making, highlighting considerable prospects for future implementation. However, current research still faces challenges such as a lack of real-time capabilities and insufficient integration. Future efforts should focus on establishing comprehensive and precise construction safety KG and exploring novel approaches for the integrated application of LLM and KG.

large language model(LLM)  /  knowledge graph(KG)  /  construction safety  /  safety management  /  integrated application
Rongyong ZHAO, Xingzhu PENG, Bingyu WEI, Guoyi ZENG, Fengnian LIU, Peng YAN. A review of technology development of large language model and knowledge graph in field of construction safety[J]. China Safety Science Journal, 2025 , 35 (12) : 1 -7 . DOI: 10.16265/j.cnki.issn1003-3033.2025.12.0044
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Year 2025 volume 35 Issue 12
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.12.0044
  • Receive Date：2025-06-20
  • Online Date：2026-07-09
  • Published：2025-12-28
Article Data
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History
  • Received：2025-06-20
  • Revised：2025-10-10
Funding
Affiliations
    1School of Electronic and Information Engineering, Tongji University, Shanghai 201804, China
    2Shanghai Aircraft Manufacturing Co., Ltd., Shanghai 201324, China
    3Shanghai KARON ECO-VALVE Manufacturing Co., Ltd., Shanghai 201812, China
    4School of Computer Science and Technology, Tongji University, Shanghai 201804, China
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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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