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Volatile Organic Gas Recognition Using Conducting Polymer Sensor array

전도성 고분자 센서 어레이를 이용한 휘발성 유기 화합물 가스 인식

  • Lee, Kyung-Mun (Department of Material Science and Metallurgy, kyungpook National University) ;
  • Joo, Byung-Su (Department of Electronic Engineering, School of Electronic Engineering, Kyungpook National University) ;
  • Yu, Joon-Boo (Department of Material Science and Metallurgy, kyungpook National University) ;
  • Hwang, Ha-Ryong (Department of Material Science and Metallurgy, kyungpook National University) ;
  • Lee, Byung-Soo (Department of Material Science and Metallurgy, kyungpook National University) ;
  • Lee, Duk-Dong (Department of Electronic Engineering, School of Electronic Engineering, Kyungpook National University) ;
  • Byun, Hyung-Gi (Department of Information & Communication Engineering, Samchok National University) ;
  • Huh, Jeung-Soo (Department of Material Science and Metallurgy, kyungpook National University)
  • 이경문 (경북대학교 공과대학 금속공학과) ;
  • 주병수 (경북대학교 전자전기공학부) ;
  • 유준부 (경북대학교 공과대학 금속공학과) ;
  • 황하룡 (경북대학교 공과대학 금속공학과) ;
  • 이병수 (경북대학교 공과대학 금속공학과) ;
  • 이덕동 (경북대학교 전자전기공학부) ;
  • 변형기 (삼척대학교 정보통신학과) ;
  • 허증수 (경북대학교 공과대학 금속공학과)
  • Published : 2002.09.30

Abstract

We fabricated gas recognition system using conducting polymer sensor array for recognizing and analyzing VOCs(Volatile Organic Compounds) gases. The polypyrrole and polyaniline thin film sensors which were made by chemical polymerization were employed to detect VOCs. The multi-dimensional sensor signals obtained from the sensor array were analyzed using PCA(principal component analysis) technique and RBF(radial basis function) Network. Throughout the experimental trails, we confirmed that RBF Network is effective than PCA technique in identifying VOCs.

휘발성 유기 화합물 가스(Volatile Organic Compounds)를 인식하고 분석하기 위하여 전도성 고분자 센서어레이를 이용한 시스템을 제작하였다. Polypyrrole와 Polyaniline을 화학중합법으로 센서에 전도성고분자막을 형성하였고 이를 통해 VOC 검지용 센서 어레이를 제작하였다. 센서어레이로부터 측정되는 다차원 데이터는 주성분분석법(PCA)과 RBF(Radial Basis Function Network)을 이용하였다. 제안된 시스템으로 VOCs 가스를 인식하는데 있어서 RBF Network이 PCA 방식보다 더욱 효율적인 것으로 판단되었다.

Keywords

References

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