Research On Ontology Model Of Coal Mine Gas Monitoring System

With the development of science and technology and the increasing grim situation in the coal mine security, the coal mine information construction put forward some new requirements. How to make better use of the information provided by the gas monitoring system to realize information integration and sharing and to provide decision support for the coal mine production safety warning system, have become a key problem urgently to be solved in the field of coal mine safety. Ontology is a unified way of knowledge representation and description and plays an important role in knowledge sharing and reuse. So ontology is introduced into the coal mine gas monitoring system. Ontology can clearly analyses the specific domain knowledge, and achieves the gas accident early warning.Requirement analysis is not enough and evaluation is imperfect in exiting methods. This paper constructs a based on knowledge ontology modeling method. Based on the Seven Steps, this method adopts goal-oriented and scenario-based approach to analysis the gas monitoring system; then the method reference modeling framework in Skeleton Method, and establishes an initial ontology of the gas monitoring system; finally the method builds the model for gas monitoring system. Compared with other methods, this method presented in this paper is more detailed in requirement analysis, and adopt the composite standard evaluation the initial model. So the model established by this method is more reliable and comprehensive.Faced with huge amounts of data and complex storage structure in the gas monitoring system, make it difficult to achieve knowledge integration and sharing, etc. In this paper, the based on knowledge ontology modeling method is applied to the coal mine gas monitoring system, and we build an ontology for gas monitoring system. First of all, the paper adopts a goal-oriented and scenario-based approach to analysis the gas monitoring system to get entire function requirements and non-function requirements; Secondly, we extract the conceptual model from the relevant coal industry standards and national standards, and establish an ontology framework; Finally, we use composite evaluation criteria to evaluate the initial ontology and build the ontology model in Protege.By adopting composite Standard evaluation method to evaluate the initial ontology model, the paper finds this model can better meets the selection of five evaluation indexes of ontology and proves the effective of the method. The model can not only analyses gas data, can also provides some support for realizing data integration and sharing of the gas monitoring system.