• Photonic Sensors
  • Vol. 2, Issue 1, 71 (2012)
Shicong ZHANG1, Qiang WANG1, Yan ZHANG1, Fujun SONG1, Kun CHEN2, Guoqing CHOU1, Jun CHANG1、*, Pengpeng WANG1, Delong KONG1, Zongliang WANG1, Weijie WANG1, Yongning LIU1, and Haiyong SONG1
Author Affiliations
  • 1School of Information Science and Engineering and Shandong Provincial Key Laboratory of Laser Technology and Application, Shandong University, Jinan, 250100, China
  • 2School of Shandong Provincial Party Committee of Communist Party of China, Jinan, 250021, China
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    DOI: 10.1007/s13320-011-0038-z Cite this Article
    Shicong ZHANG, Qiang WANG, Yan ZHANG, Fujun SONG, Kun CHEN, Guoqing CHOU, Jun CHANG, Pengpeng WANG, Delong KONG, Zongliang WANG, Weijie WANG, Yongning LIU, Haiyong SONG. Water Vapor Detection System Based on Scanning Spectra[J]. Photonic Sensors, 2012, 2(1): 71 Copy Citation Text show less

    Abstract

    Scanning the absorption spectral line of water vapor through wavelength around 1368.597nm is successfully used to measure the value of micro-moisture content. The synchronous superposition average of original signal algorithm based on labview is innovated and applied to detecting weak spectrum absorption signal instead of low pass filter. Two data processing methods are used to get the concentration of water vapor in ppm: one is a general formula method which has newly deduced a general formula to calculate the concentration of gas with temperature and beam intensity ratio when the pressure is equal to or greater than 1atm; the other is engineering calibration method which is proved to have high resolution and accuracy with the fitted curve of beam intensity ratio and concentration in ppm when the temperature changes form 258K to 305K and the pressure ranges from 1atm to 5 atm.
    Shicong ZHANG, Qiang WANG, Yan ZHANG, Fujun SONG, Kun CHEN, Guoqing CHOU, Jun CHANG, Pengpeng WANG, Delong KONG, Zongliang WANG, Weijie WANG, Yongning LIU, Haiyong SONG. Water Vapor Detection System Based on Scanning Spectra[J]. Photonic Sensors, 2012, 2(1): 71
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