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Study on Intelligence Detection of Methane Gas Based on NDIR Technology

  • Conference paper
Emerging Research in Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 237))

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Abstract

In this paper, with regards to the disadvantages of traditional gas sensor used in mine, an intelligent infrared detection method for methane gas based on Non-dispersive Infrared technology is presented. Through the introduction of the principle of infrared spectrum absorption, further to the adoptions of differential measurement method and the technology of single light beam & dual wavelength detection, the relationships between pyroelectric detector signal and gas concentration has been analyzed in details. A relevant formula has been given for between the gas absorption ratio Fa and the peak value of pyroelectric detector terminal voltage. Experimental results show that the measurement error is less than ±0.1% (when concentration of methane gas <4%), and meet the requirement of coal mine safety operation.

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Author information

Authors and Affiliations

  1. Institute of Mechanical Eng., Taiyuan University of Technology, 79 west yingze street, Taiyuan, China

    Yong-zhi Liang, Xing-fu Rong & Bing Li

  2. Dept. of Chemical & Environment Eng., Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, China

    Chun-tao Liu

Authors
  1. Yong-zhi Liang
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  2. Xing-fu Rong
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  3. Bing Li
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  4. Chun-tao Liu
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Editor information

Editors and Affiliations

  1. School of Business Information technology, RMIT University, GPO Box 2476V, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  2. Department of Computer Science and Technology, Tongji University, Shanghai, China

    Duoqian Miao

  3. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong, SAR, China

    Fu Lee Wang

  4. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Liang, Yz., Rong, Xf., Li, B., Liu, Ct. (2011). Study on Intelligence Detection of Methane Gas Based on NDIR Technology. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_63

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  • DOI: https://doi.org/10.1007/978-3-642-24282-3_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24281-6

  • Online ISBN: 978-3-642-24282-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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