Construction And Application Of Knowledge Base For Construction Risk Of Deep Foundation Excavation Based On Ontology

Due to the large scale,complex technology and high technical requirements of the deep foundation pit project,major problems such as casualties,environmental damage and economic losses will be caused by the risks on the construction site.With the rapid development of computer technology,in the face of massive construction risk management data,only relying on the technical personnel’s experience and knowledge for risk identification and analysis,has been unable to meet the actual needs.Ontology is the integration of domain-specific knowledge in a formalized conceptual format,which is conducive to the understanding and interaction between users and computers.The research objective of this paper is to build ontology-based knowledge base of construction risk of deep foundation pit engineering,realize the standardization and formalization of risk knowledge in this field through ontology technology,promote the identification and decision of construction risk,and reduce the occurrence of risk events.Firstly,through the research on the construction risk management of deep foundation pit engineering and the application of ontology technology,it is proposed to introduce ontology technology into the construction risk field of deep foundation pit engineering and build the ontology knowledge base of construction risk of deep foundation pit engineering.Secondly,the construction activities are divided by using the method of work decomposition and combining with the construction technology,construction standards and experts’ experience and knowledge.Statistical analysis was conducted on the collected construction risk accidents of deep foundation pit,and the risk event categories were determined.According to the theory of accident cause,the index system of risk factors such as unsafe behavior of people,unsafe state of objects,technical risk and bad state of environment is constructed.Then,select the Protege ontology editing tools and improve the seven steps to construct deep foundation pit engineering construction risk knowledge ontology concept,explicit knowledge base of ontology construction objectives and requirements,knowledge representation was carried out on the areas of deep foundation pit engineering construction risk,definition class and class hierarchy structure,object and data attributes,and create an instance,and complete the ontology follow-up evaluation.Finally,based on the constructed deep foundation pit construction risk ontology knowledge base,visual display and knowledge query function are applied.SWRL rule library was established to conduct ontology rule inference by combining practical cases with Drools reasoning engine,so as to intelligently identify risk events during construction operations and take corresponding preventive measures to reduce the possibility of risk events.Through research,decomposition based on the deep foundation pit engineering construction system,determine the type of event risk,risk factors,on the basis of building the risk of deep foundation pit engineering construction ontology knowledge base,and the knowledge reasoning knowledge query,visual display,and analysis of application of the risk management of construction of deep foundation pit engineering intelligent solutions,improve construction risk knowledge expression ability,realize knowledge sharing,maintenance,risk transfer,access and interoperability.