Study On Case Reasoning Of Coal Mine Disaster Accidents Ontology

The statistics of the National Coal Mine Supervision Bureau show that gas explosion accidents have occurred frequently in recent years,because of the damage to the casualties,and the impact is wider than other coal mine safety accidents.Therefore,it is urgent to establish an early warning mechanism for coal mine gas safety prevention and control,which is used to regulate coal mine safety production.In addition,there is a lack of uniform standards for the description of tile explosion accidents in the academic community,and the existing knowledge base still has defects in knowledge acquisition,representation,mutual enjoyment and reuse.Therefore,it is necessary to design a strict standard knowledge structure to solve the problems of knowledge base redundancy and semantic heterogeneity.The accident tree ontology can make up for these shortcomings.It can clarify the logical relationship between concepts,describe the cause and effect of accidents,improve the dilemma of knowledge expression,and make the knowledge more systematic.CBR(case-based reasoning)has become the focus of research in the field of intelligence with the rise of knowledge maps.Ontology-based gas explosion case reasoning is of great significance to the underground environmental safety support system.The traditional security decision-making system is based on the current case and emergency filing.Once an accident occurs,the decision-making system will recommend emergency filing to the user.This kind of single plan system can not meet the higher requirements of the complex production environment of coal mines,and the ontology-based case-based reasoning algorithm decision support system is similar to the human mindset.The system combines real-life cases to present the most familiar cases in the “brain” of the retrieval system,thus providing decision support for the current case.In the context of underground gas explosion accident,based on ontology knowledge,this paper constructs an accident ontology with high expressive ability on the ontology editing tool Protege,integrates ontology and case reasoning,deeply studies case-based reasoning based on ontology,and the effects of minimum cut set,minimum path set,probability importance and critical importance on the ontology of the accident tree are analyzed The research results provide targeted advice for the prevention and control of accidents.In view of the above research,this paper also designs a case-based case-based reasoning system,which uses the case in the caselibrary as the analysis object and enriches the feature weight calculation method.Improve the original 9 scale method to 3 scale method The systematic reasoning results preliminarily verify the rationality and engineering practicability of the results.