A Research On Knowledge Base With Context Integrated For Dynamical Identifying The Safety Of Subway Construction

Knowledge base in today has become an important tool for service in people's work. Whether in medical treatment or in mechanical operation, the knowledge base has played out a unique role and made a great contribution. However, the application in construction industry is still scarce and even much rarer in the underground space development and subway tunnel construction. First of all this kind of tool used in construction and development industry is not yet mature. Then to build a knowledge base as complete and comprehensive as possible is still difficult however in the boom phrase of subway tunnel construction in China. In this paper, we has build a knowledge base in context of subway construction project with the carrier of construction safety.This paper analyzed the main safety factors in subway construction based on analyzing technologies and applications for building knowledge base at home and abroad, did a research on building a knowledge base of dynamic identification with the principles of ontology and case-based reasoning theory for the safety of subway construction combined with the risk monitoring indicators. First the architecture of the base is built by ontology, which is consisted of domain level, function level, application level. Then the editor, automatic identifier, human-computer identifier and storage are needed to build in each level for the base. After that working mechanism will be realized by the integration and promotion of case-based reasoning and expert identification which is used in automatic identification and human-computer identification. At last, the emergency decision support system has been proposed for the construction safety in view of the its non-independent operation, who works in the environment composed of case base, model base, data base. At the same time a practice of knowledge base has been accomplished on the context of subway tunnel construction of Wuhan.