Subway construction project has large scale,complex technology and high risk. Human life and property, Social economy and nature environment will be seriously affected by accidents on construction sites. Experts, scholars and practitioners at home and abroad pay attention to preventing and reducing safety risks. However, subway construction accidents sometimes occur as safety risks continue to plague the industry across the world. Due to differences in subway construction project, people are not able to reuse and share safety risk management knowledge. Ontology knowledge base has a major role in transfering and sharing subway construction safety management knowledge. The goal of the research is to introduce ontology and knowledge management to subway construction safety risk management and set up subway construction safety risk ontology-based knowledge base. On the basis, subway construction safety risks can be timely identified and appropriate security measures can be adopted to prevent and reduce subway construction safety risk event.Firstly, the paper analyses extant literatures and recent directions of subway risk management, construction safety management, precursor, ontology and knowledge baseat home and abroad based on detailed literature review. Besides, the paper points out gaps of extant researches. Then it introduces ontology to subway construction safety risk and builds subway construction safety risk ontology knowledge base.Subway construction activities is the base of identifying subway construction safety risks in knowledge. Therefore, the paper uses WBS, combined with construction specifications, technology and experience, to decompose subway construction activities, furtherly decompose subway shield tunneling construction and analyse monitoring information of construction.Identifying possible precursors of risk events plays an important role in safety risk management. The paper uses system security theory to build the precursor system about man, machine and environment based on subway construction safety risk events and accident causation theory. It analyses precursors of equipment and materials, environment and analyses precursors of staff based on HFACS. It introduces monitoring informationto precursorsystem. Monitoring information is monitoring precursor caused by staff, equipment, materials and environment. On the basis, the paper identifies the precursors of Hangzhou subway collapse on the basis of precursor system.Secondly, the paper chooses ontology editing tools-Protege and "Seven steps" to build subway construction safety risk ontology. It builds the subway construction safety risk ontology knowledge base from goals and needs, knowledge representation, definitions of classes and structure, object type,data type and examples building, etc.Finally, the paper analyses the application of subway construction safety risk ontology knowledge base and offers brief introduction and application of visualization, query, SWRL rules construction and Jess reasoning. It creats an individual, using "SWRL+Jess" to achieve reasoning to identify subway construcion safety risks and adopt related solutions. Thus, it achieves the intelligence of subway construction safety risk management and plays a great role in preventing and reducing safety risks.Based on decomposition of subway construction activities and precursor system, the paper builds subway construction safety risk ontology knowledge base through the research. Besides, the paper analyses the application of knowledge base and provides an intelligent approach of subway construction safety risk management. Knowledge can be shared and reused. The ontology knowledge base plays an important role in subway construction safety risk management. |