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Proceedings Paper

Research on the data processing of photoelectric signal surveying for coal mine gas
Author(s): Mengran Zhou; Zhenbi Li; Zongjiu Zhu
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Paper Abstract

In view of the shortage of the former chemistry examination for coal mine gas it uses infrared spectrometry to monitor gas, and propose the principle of surveying the coal mine gas basing on infrared absorption spectrum methods, and has given the structure diagram of gas remote sensing alarm system. When infrared spectrum signal including the gas information goes through the photoelectric detection, then it goes through the Fourier spectroscope to obtain the signal, and does the enlargement transformation; at last the computer processes and recognizes the data. The theoretical analysis and the experimental result indicate that after the signal pretreatment including characteristic extraction, background deduction and normalized processing it obtains a standard standardized spectrum diagram. Based on gas member in 1.65μm absorption characteristic spectrum, when it is in before some background, the mine underground gas exists the infrared radiation information that could change and arrive to the sensor, and then the alarm system can survey these difference information and process it to confirm the gas density, when it is under certain threshold value the system will alarm. Through the comparison, it retrieves the gas density in mine. This method has overcome the traditional method such as gas chromatography hydrogen flame ionization detector with shortcoming of bad timeliness, has realized complete non-contact online automatic monitor, and really reflected the gas density.

Paper Details

Date Published: 22 February 2008
PDF: 8 pages
Proc. SPIE 6622, International Symposium on Photoelectronic Detection and Imaging 2007: Laser, Ultraviolet, and Terahertz Technology, 66220P (22 February 2008); doi: 10.1117/12.790793
Show Author Affiliations
Mengran Zhou, Anhui Univ. of Science and Technology (China)
Zhenbi Li, Anhui Univ. of Science and Technology (China)
Zongjiu Zhu, Anhui Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6622:
International Symposium on Photoelectronic Detection and Imaging 2007: Laser, Ultraviolet, and Terahertz Technology

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