关键词: 危险与可操作性分析, 安全, 知识本体, 模型, 知识推理

Abstract:

Traditional HAZOP analysis is conducted through experts’ brainstorming discussions, which is time-consuming and labor-intensive and cannot guarantee the completeness of the analysis results. To resolve the problem, the HAZOP causal knowledge description model based on ontology is proposed. The study first extracted common knowledge from traditional HAZOP analysis texts, and obtained the HAZOP causal knowledge description model structure expressed in natural language. With the help of ontology, the structural modification of the model is realized through the definition of classes, attributes and instances in HAZOP causal knowledge. Finally, the study used ontology software named Protégé to express the model through OWL language, and established an ontology-based HAZOP causal knowledge description model. The model was used for finding the causes and consequences of liquid level changing to verify its reasoning process. The results shows that the proposed model can assist artificial HAZOP reasoning analysis process, and at the same time explore the shallow and deep knowledge of the HAZOP analysis process to ensure the depth and completeness of analysis results.

Key words: hazard and operability analysis (HAZOP), safety, knowledge ontology, model, knowledge inference