화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2021년 가을 (10/27 ~ 10/29, 광주 김대중컨벤션센터)
권호 27권 2호, p.2316
발표분야 화학공정안전
제목 HAZOP automation using artificial intelligence
초록 HAZOP (Hazard and operability study) is a qualitative analysis technique that identifies the hazards and operability problems present in the plant facility process. Experts with knowledge and experience of the target system participate and perform HAZOP studies based on engineering drawings and empirical rules. However, the completeness of HAZOP results depends on the knowledge, experience, and level of training of practitioners, and human error is likely to occur because it is a human-centered process. Therefore, this study aims to produce consistent and standardized HAZOP study results based on given input information. In this study, engineering drawings are digitized into graph data form using AI-based drawing recognition technology and knowledge is organized into rule and case-based models to integrate them into one system topology. In this course, process and plant safety (PPS) domain knowledge is embedded within the topological model.
저자 신호진, 이철진
소속 중앙대
키워드 화학공정안전
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