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회분식 공정의 HAZOP 분석 자동화를 위한 지식기반구조 및 알고리즘
Knowledge Framework and Algorithm for Automating HAZOP Analysis of Batch Processes
부산대학교 화학공학과, 부산 609-735 1서울대학교 응용화학부, 서울 151-742
Dept. of Chem. Eng., Pusan National University, Pusan 609-735, Korea 1School of Chemical Engineering, Seoul National University, Seoul 151-742, Korea
HWAHAK KONGHAK, June 2001, 39(3), 292-299(8), NONE
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Abstract
회분식 공정의 time과 sequence 해석은 연속 공정의 HAZOP 분석 기법으로는 설명될 수 없다. 따라서 본 연구에서는 회분식 공정을 투입, 반응, 유출의 세 가지 단계로 구분한 후, 배관 및 반응기 등에서의 이탈을 각 장치의 이탈전파모델을 사용하여 전파시킨다. 그리고 이산 변수들과 연속 변수들의 상호 인과관계를 고려한 회분식 공정의 HAZOP 분석을 행하는 방법을 개발하여 Latex 제조 공정에 적용하여 그 실효성을 검토하였다.
The analysis of discrete variables such as time and sequence in batch process can not be explained by the method used in the HAZOP analysis of continuous processes. So in this study, we have classified the operation of batch processes into charge, reaction and discharge step, and have propagated the deviation by using propagation models of each unit. And we have developed the methodology for HAZOP analysis of batch processes by using the causal relationship between discrete variables and continuous ones and then have discussed the performance of the methodology on a latex batch process to evaluate its effectiveness.
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