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가스센서 어레이를 이용한 악취 패턴분석에 대한 연구

A Study on Malodor Pattern Analysis Using Gas Sensor Array

  • 최장식 (루키디아 기술연구개발부) ;
  • 전진영 (강원대학교 전자정보통신공학부) ;
  • 변형기 (강원대학교 전자정보통신공학부) ;
  • 임해진 (강원대학교 전자정보통신공학부)
  • Choi, Jang-Sik (Technology R&D Center, Lookidea Co.) ;
  • Jeon, Jin-Young (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Byun, Hyung-Gi (Division of Electronics, Information & Communication Engineering, Kangwon National University) ;
  • Lim, Hea-Jin (Division of Electronics, Information & Communication Engineering, Kangwon National University)
  • 투고 : 2013.06.13
  • 심사 : 2013.07.21
  • 발행 : 2013.07.31

초록

This paper presents to analyze patterns from single and complex malodors using gas sensor array based on metal oxide semiconductors. The aim of research is to identify and discriminate single malodors such as $NH_3$, $CH_3SH$ and $H_2S$ and their mixtures according to concentration levels. Measurement system for analyzing patterns from malodors is constructed by an array of metal oxide semiconductor sensors which are available commercially together with associate electronics. The patterns from sensory system are analyzed by Principal Component Analysis (PCA) which is simple statistical pattern recognition technique. Throughout the experimental trails, we confirmed the experimental procedure for measurement system such as sensors calibration time and gas flow rate, and discriminated malodors using pattern analysis technique.

키워드

참고문헌

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