This paper presents a methodology for the automatic generation of accident scenarios in chemical process industries. Accident scenarios as a basis of hazard analysis are considered as a part of the design criteria. Generating accident scenarios is a time and labor consuming procedure. To reduce the effort and resources devoted to this, we developed a systematic method of generating accident scenarios and implemented software called CAGAS (Computer Aided Generation of Accident Scenarios). This system is composed of a scenario generation model and a scenario verification model. In the scenario generation model, many accident scenarios are generated by accident scenario factors including process information and accident progress factors. The scenario verification model verifies the generated accident scenarios based on an expert knowledgebase and an accident history database. This system is useful in the detection and the identification of dangerous states in complex chemical plants during the design stage. This is also valuable in providing guidelines to prevent accidents and to improve process safety.
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