430 / 2024-04-09 16:29:01
Research on High-Precision Laser Methane Detection Method Based on Adaptive Filtering Algorithm
tunable diode laser absorption spectroscopy,wavelength modulation spectroscopy,cross-correlation analysis,adaptive filtering,second harmonic
全文录用
Hao Shao / China University of Mining and Technology
Boran Li / China University of Mining and Technology
Kai Wang / China University of Mining and Technology
Bei Zhang / China University of Mining and Technology
Chaojie Liu / China University of Mining and Technology
Tunable Diode Laser Absorption Spectroscopy (TDLAS) technology has been widely used in the field of trace gas concentration detection. Within this domain, Wavelength Modulation Spectroscopy (WMS) techniques are effective in reducing the impact of low-frequency noise (1/f noise) during detection. However, noise from optical components and electronic devices can still interfere with the extracted second harmonic (2f) signal, affecting the system's accuracy in detecting trace gas concentrations. Considering that the system's noise can be approximated as a set of non-stationary signals, a study has explored an adaptive filtering algorithm based on the Least Mean Square (LMS) error to suppress the noise. This method involves extracting the reference noise signal through cross-correlation analysis and then adaptively optimizing the noisy second harmonic signal. Experimental calibration was conducted on methane of different volume concentrations and their corresponding 2f signal amplitudes using a laboratory-built TDLAS detection system. The results indicate that the proposed method can enhance the system's accuracy and stability. This research outcome could provide valuable insights for achieving high-precision detection of trace methane gas in areas such as energy extraction and environmental monitoring.

 
重要日期
  • 会议日期

    05月29日

    2024

    06月01日

    2024

  • 05月08日 2024

    初稿截稿日期

主办单位
中国矿业大学
历届会议
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