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안대명,황규석 ( Dae Myung An,Kyu Suk Hwang ) 한국화학공학회 1996 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.34 No.6
An expert system was developed to predict hazardous conditions in chemical plants as an operation-aid system for the automation of unsteady state process operation such as start-up and shutdown. In this paper, hazards were classified into three main groups; constraints for preoperation and main operation of process units, hazards by mixing of dangerous materials, and potential hazards in process. By using these three groups, Hazardous-Condition-Data-Base was organized, after that, the methodology to represent process topology and process states was developed. An inference engine was developed for evaluating hazards in process and applied to the practical chemical plant to identify various types of hazards.
공정시스템 , 이동현상 , 화학공정안전 : 비상시 안전조업을 위한 운전절차 자동합성
안대명(Dae Myung An),허보경(Bo Kyeng Hou),황규석(Kyu Suk Hwang) 한국화학공학회 2001 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.39 No.1
Recently, automatic control systems have been introduced to improve operability and safety of operations in chemical plants. However, operations for unexperienced fault and emergency situation depend on heuristic knowledge and decision of operators. Therefore in this study, the operational decision support expert system is developed to automatically synthesize operating procedures for safe emergency operation by using formalized knowledge of operators and recognition of operational situation.
허보경,안대명,황규석 ( Bo Kyeng Hou,Dae Myung An,Kyu Suk Hwang ) 한국화학공학회 1996 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.34 No.6
An operation aiding expert system is developed for preventing an unexpected shutdown caused by operation errors or misjudgements in boiler plants. Based on symbolic model about the plant structure and the behavior characteristics, the change of process states is simulated. And the method for solving context-dependent problem is suggested. With generalized knowledges for the recognition of operational situations and hazardous conditions, a strategy is suggested for anticipating accidents caused by operation errors or misjudgements in advance. By the results of the application of this system to the real plant, it is shown that the methodology suggested in this study is useful.