Advertisement
Published in:
2011 | OriginalPaper | Chapter
Study on Intelligence Detection of Methane Gas Based on NDIR Technology
Authors : Yong-zhi Liang, Xing-fu Rong, Bing Li, Chun-tao Liu
Published in: Emerging Research in Artificial Intelligence and Computational Intelligence
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.