화학공학소재연구정보센터
학회 한국공업화학회
학술대회 2021년 가을 (11/03 ~ 11/05, 대구 엑스코(EXCO))
권호 25권 2호
발표분야 포스터-화학공정
제목 Abnormal diagnosis of the engineering diagram using based on system topology generation
초록 Oil refineries and petrochemical plants are designed and managed by engineering drawings which are written according to certain rules to facilitate design, construction, operation and maintenance/repair of the plant. Accurate drawings are very important in terms of cost and safety, as detailed design work is carried out based on them, which has a significant impact on the purchase of equipment and construction. Previously, errors in engineering drawings were manually checked includings the QC(Quality Control) phase. In this work, we propose a methodology for learning the process structure by dataizing the existed drawings to perform drawing abnormality diagnosis. It consists of a step of extracting drawing symbol data, a step of creating a system topology by giving sequence between the detected symbols, and a step of classifying process anomalies for a given drawing. Finally, abnormal diagnosis is performed on the engineering drawing and diagnosis results are shown.
저자 신호진, 전은미, 이철진
소속 중앙대
키워드 HAZOP; Automation; System topology
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