Knowledge Retrieval And Case-Based Reasoning Study On Construction Safety Risks Of Major Construction Projects

In the last decade,with the rapid development of economy,more and more major construction projects have begun to plan.However,because major construction projects have more complex structures,numerous participants,and longer time-consuming than ordinary projects,this makes the risk prevention and risk control of construction safety of major construction projects particularly prominent.The massive information generated by major construction projects throughout their entire life cycle also causes serious deficiencies in the organization,sharing,and reuse of risk information for major construction projects in traditional information storage methods.It makes it difficult for relevant personnel of major construction projects to obtain sufficient and appropriate theoretical knowledge and historical experience for reference.Based on the above problems,this paper introduces the combination of ontology and case reasoning technology into the risk field of major construction projects,organizes and stores risk information knowledge of major construction projects by establishing an ontology model,and conducts case reasoning research.Through the above work,we provide sufficient and correct theoretical support and historical experience for risk decisionmakers of major construction projects,improve the accuracy and efficiency of risk decision-making,and promote the intelligent development of major construction project management.The main research done in this article is as follows:(1)Theoretical research on construction safety risks of major construction projects.First of all,this paper summarizes the main factors and characteristics that influence the risk judgment of major construction projects by studying the literature and historical cases of major construction projects.These works provide a theoretical basis for the induction and organization of risk information of major construction projects,and provide a basis for the construction of ontology models.(2)Research on domain ontology.This research summarizes the development of ontology theory,research status,constituent elements and modeling theory,and through comparison and summary,we get the most suitable domain ontology model construction method and construction tool for this article.(3)Construction of subway construction safety risk ontology model.Based on the knowledge characteristics and field requirements of major construction project risk areas,this research uses Protégé ontology modeling tools to construct subway construction safety risk information models,including class,attribute,and hierarchy relationships.Finally,the research verifies the final model through expert investigation and demonstration.(5)Case reasoning of subway construction project risk based on ontology.First,this paper discusses the principle of case reasoning,and proposes to use an ontology-based conceptual semantic similarity calculation method to calculate case similarity,and then this method is verified by a case study.In this study,ontology modeling and inference techniques were used to carry out innovative research on the organization and storage of risk information,identification and reasoning of risks in subway construction projects.It helps to promote the development of informatization and intelligence in this field,provides a new solution to the problem of preventing and controlling the risks of subway construction projects,and helps to improve the management level of subway construction projects.