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基于波长调制谐波信号主峰拟合的气体浓度测量方法

杨阳 刘畅 徐立军

杨阳, 刘畅, 徐立军等 . 基于波长调制谐波信号主峰拟合的气体浓度测量方法[J]. 北京航空航天大学学报, 2017, 43(11): 2187-2192. doi: 10.13700/j.bh.1001-5965.2017.0045
引用本文: 杨阳, 刘畅, 徐立军等 . 基于波长调制谐波信号主峰拟合的气体浓度测量方法[J]. 北京航空航天大学学报, 2017, 43(11): 2187-2192. doi: 10.13700/j.bh.1001-5965.2017.0045
YANG Yang, LIU Chang, XU Lijunet al. Gas concentration measurement method based on WMS main peak spectrum fitting[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(11): 2187-2192. doi: 10.13700/j.bh.1001-5965.2017.0045(in Chinese)
Citation: YANG Yang, LIU Chang, XU Lijunet al. Gas concentration measurement method based on WMS main peak spectrum fitting[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(11): 2187-2192. doi: 10.13700/j.bh.1001-5965.2017.0045(in Chinese)

基于波长调制谐波信号主峰拟合的气体浓度测量方法

doi: 10.13700/j.bh.1001-5965.2017.0045
基金项目: 

国家自然科学基金 61225006

国家自然科学基金 61327011

国家自然科学基金 61370016

国家自然科学基金 61522102

详细信息
    作者简介:

    杨阳 女, 硕士研究生。主要研究方向:燃烧过程监测与节能减排

    徐立军 男, 博士, 教授, 博士生导师。主要研究方向:单相/多相流测量/工业过程层析成像、燃烧过程监测与节能减排、三维激光雷达成像及应用、信号处理与信息融合

    通讯作者:

    徐立军, E-mail: lijunxu@buaa.edu.cn

  • 中图分类号: TP273

Gas concentration measurement method based on WMS main peak spectrum fitting

Funds: 

National Natural Science Foundation of China 61225006

National Natural Science Foundation of China 61327011

National Natural Science Foundation of China 61370016

National Natural Science Foundation of China 61522102

More Information
  • 摘要:

    为了提高激光波长调制光谱法(WMS)测量气体浓度的速度和准确度,首次提出了一种通过对吸收光谱谐波信号的主峰进行拟合的气体浓度测量方法。在该方法中,只扫描吸收光谱谐波信号的主峰部分来获得谐波信号(WMS-2f/1f)的峰值点。因为缩减了吸收光谱的扫描范围,所以扫描速度得到了提高。通过对吸收光谱谐波信号(WMS-2f/1f)的主峰部分进行多项式拟合,进一步提高了测量精度。详细讨论了多项式阶数的确认方法,以及拟合数据长度对测量结果的影响。通过测量不同情况下的二氧化碳浓度验证了该方法的有效性。

     

  • 图 1  被测气体是CO2时在吸收中心为6 357.3 cm-1处仿真的WMS-2f/1f及其导数

    Figure 1.  Simulated WMS-2f/1f and its derivative at absorption center of 6 357.3 cm-1 with CO2 as measured gas

    图 2  WMS-2f/1f峰值的真值与测量值的绝对差随着多项式阶数的变化

    Figure 2.  Variation of absolute deviation between true peak value and measured peak value of WMS-2f/1f with degree of polynomial

    图 3  使用2种方法分别对谐波信号进行处理时,测量气体浓度信噪比与主峰部分参与拟合数据长度的变化

    Figure 3.  Variation of gas concentration SNR with length of data involved in main peak fitting for two harmonic signal processing methods

    图 4  WMS-2f/1f以及主峰拟合后的结果

    Figure 4.  Curve fitting results of standardized second harmonic signal WMS-2f/1f and main peak

    图 5  使用2种方法分别对谐波信号进行处理时,测量信噪比随气体浓度的变化

    Figure 5.  Variation of measured SNR with gas concentration for two harmonic signal processing methods

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出版历程
  • 收稿日期:  2017-01-24
  • 录用日期:  2017-02-24
  • 刊出日期:  2017-11-20

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