Research on Ontology Modeling Method of HAZOP in Petrochemical process

Hazard and operability analysis (HAZOP) is a kind of qualitative brainstorming assessment method, which can effectively identify and analyze the hazards in the technology process. In the field of petrochemical industry, HAZOP has experienced the development from artificial to intelligent methods. Although the workload of safety analysis has been gradually reduced, the reasons for the deviation and the consequences are still obtained through expert artificial analysis, so that the analysis quality cannot be guaranteed, and the automatic HAZOP is still not realized. Therefore, knowledge standardization is the development trend of HAZOP and the research direction of this paper. Based on knowledge engineering, using Protege 5.0 and OWL, the ontology model of HAZOP is constructed, which provides a unified analysis standard for the field of HAZOP. Taking the oil gasifier as an example, according to the SWRL rules, the relationship between entities is established, the HAZOP ontology is constructed, and the results are visualized. At last, the reasoning plug-in is used to analyze the established ontology relationship of HAZOP, which verifies the accuracy of HAZOP analysis results. The analysis results are saved as Resource Description Framework (RDF) structure, which stores the structural knowledge of HAZOP in petrochemical field, generates ontology knowledge base, and realizes knowledge sharing and reuse.