Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A Knowledge Graph-Based Approach for Construction Safety Hazards Management and Rectification Measures Intelligent Recommendation
Identification and rectification of safety hazards are crucial for the safety management of a construction site. However, the absence of structured knowledge necessitates a heavy reliance on experienced managers or experts for construction safety management. This dependence on manual formulation of rectification measures results in inefficient safety management and underutilization of data value. This study proposes a knowledge graph based approach for the safety hazards inspections and recommendation of rectification measures, which consists of four steps: (1) constructing the semantic expression framework of safety hazard ontology for information extraction; (2) extracting entities from textual and semi-structured data using a large language model (ChatGLM-6B); (3) knowledge fusion and inference; (4) storing structured knowledge and developing semantic retrieval and safety hazard rectification measures recommendation. The proposed method was validated in a hydropower project, where a knowledge graph of safety hazards was constructed, consisting of 108,000 entities and 121 relationships. The results demonstrate that this method can automatically provide targeted rectification measures for safety hazards such as fire, falls from heights, scaffold collapse and electric shock. This work can provide a practical reference for improving the effectiveness of the construction project safety management.
A Knowledge Graph-Based Approach for Construction Safety Hazards Management and Rectification Measures Intelligent Recommendation
Identification and rectification of safety hazards are crucial for the safety management of a construction site. However, the absence of structured knowledge necessitates a heavy reliance on experienced managers or experts for construction safety management. This dependence on manual formulation of rectification measures results in inefficient safety management and underutilization of data value. This study proposes a knowledge graph based approach for the safety hazards inspections and recommendation of rectification measures, which consists of four steps: (1) constructing the semantic expression framework of safety hazard ontology for information extraction; (2) extracting entities from textual and semi-structured data using a large language model (ChatGLM-6B); (3) knowledge fusion and inference; (4) storing structured knowledge and developing semantic retrieval and safety hazard rectification measures recommendation. The proposed method was validated in a hydropower project, where a knowledge graph of safety hazards was constructed, consisting of 108,000 entities and 121 relationships. The results demonstrate that this method can automatically provide targeted rectification measures for safety hazards such as fire, falls from heights, scaffold collapse and electric shock. This work can provide a practical reference for improving the effectiveness of the construction project safety management.
A Knowledge Graph-Based Approach for Construction Safety Hazards Management and Rectification Measures Intelligent Recommendation
Lecture Notes in Civil Engineering
Francis, Adel (Herausgeber:in) / Miresco, Edmond (Herausgeber:in) / Melhado, Silvio (Herausgeber:in) / Xiang, Yunfei (Autor:in) / Lin, Peng (Autor:in) / Luo, Yiming (Autor:in) / Xu, Houlei (Autor:in) / Ning, Zeyu (Autor:in) / Qiao, Yu (Autor:in) / Zhou, Mengxia (Autor:in)
International Conference on Computing in Civil and Building Engineering ; 2024 ; Montreal, QC, Canada
Advances in Information Technology in Civil and Building Engineering ; Kapitel: 10 ; 133-141
04.03.2025
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Fire Hazards & Safety Measures in Buildings
| British Library Conference Proceedings | 1994
A knowledge-based approach for automating construction safety management
| British Library Conference Proceedings | 1999
| Elsevier | 2025