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지식베이스를 이용한 작업자 증상 기반 화학물질 추정 시스템 설계
주용택(Yongtaek Ju),이동훈(Donghoon Lee),신은지(Eunji Shin),유상우(Sangwoo Yoo),신동일(Dongil Shin) 한국가스학회 2021 한국가스학회지 Vol.25 No.3
본 논문에서는 산업현장 화학물질 인체 접촉 증상 기반 지식베이스 구축 및 화학물질 추정 시스템 설계에 대한 연구이다. 미국NIH에서 제공하는 WISER 프로그램의 499개의 화학물질 접촉 증상 정보로 활용하였다. 지식베이스 구축을 위해 AllegroGraph 7.0.1 프로그램을 이용하였으며 입력된 Chemical structure로 Triple 값인 Cas No., Synonyms, Symptom, SMILES, InChl, Formula를 사용 하였다. 또한 작업자의 증상을 안내하는 방법은 AI 스피커를 활용한 방식이 가능하며 지식베이스 구축 결과 암모니아(CAS No: 7664-41-7)를 기준으로 39개의 증상이 WISER 프로그램과 동일함을 확인 하였다. 이를 통해 화학물질 추정 시스템의 증상 추출 과정에 지식베이스 구축이 가능하였다. In this paper, a study on the construction of a knowledge base based on natural language processing and the design of a chemical substance estimation system for the development of a knowledge service for a real-time sensor information fusion detection system and symptoms of contact with chemical substances in industrial sites. The information on 499 chemical substances contact symptoms from the Wireless Information System for Emergency Responders(WISER) program provided by the National Institutes of Health(NIH) in the United States was used as a reference. AllegroGraph 7.0.1 was used, input triples are Cas No., Synonyms, Symptom, SMILES, InChl, and Formula. As a result of establishing the knowledge base, it was confirmed that 39 symptoms based on ammonia (CAS No: 7664-41-7) were the same as those of the WISER program. Through this, a method of establishing was proposed knowledge base for the symptom extraction process of the chemical substance estimation system.
WISER(Wireless Information System for Emergency Responders)를 이용한 주요 화학물질 접촉 증상 연구
주용택(Yongtaek Ju),이동훈(Donghoon Lee),신은지(Eunji Shin),윤형준(Hyungjoon Yoon),신동일(Dongil Shin) 한국위험물학회 2020 한국위험물학회지 Vol.8 No.2
High accident chemical ranking was studied by analyzing Chemical Accident Tracking System(CATS) by Chemical substance and Accidents cause of worker carelessness, inadequate facility management and transportation vehicle accident. Chemical accident was classified according to its typical components such as leak, explosion, fire and other. A total of 79 symptoms of WISER(Wireless Information System for Emergency Responders) are being announced. Analysis of the major chemicals(ammonia, hydrochloric acid, nitric acid, sulfuric acid, toluene, hydrogen peroxide, sodium hydroxide) revealed 14 common symptoms.