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基于多次谐波联合分析的气体浓度反演方法

Gas Concentration Inversion Method Based on Multiple Harmonic Joint Analysis

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摘要

可调谐半导体激光吸收光谱(TDLAS)技术在气体检测领域已有近40年的发展[1-2],在检测气体的温度、浓度、压力、流速等方面都有着广泛的应用[3-7]。早期的TDLAS气体浓度检测技术采用的是直接吸收法,选取吸收谱线的峰值或谱线面积作为浓度反演的依据[8],理论阐述相对简单。但随着对气体检测极限要求的提高,加上某些气体(如氧气)的吸收强度比较弱,利用光谱吸收法检测存在很大困难。现如今,基于TDLAS的波长调制光谱技术(TDLAS-WMS)已成为最常用的探测方法[9-10],其检测极限更小,分辨率更高。该技术最早由Arndt[11]提出,之后由Reid和Labrie[12]完成了实验证明。Axner等[13]在Arndt理论的基础上,进一步给出了更高次谐波的近似表达式。为了消除调制度和光强变化对检测精度的影响,Rieker等[14]和Li等[15]改进了这一理论,引入了1次谐波对2次谐波的归一化处理,提高了反演依据的信噪比。此外,Sun等[16]对高次谐波进行研究后发现,对于某些特殊环境(如高压),高次谐波具有更强的抗干扰能力。Garner等[17]也发现高次谐波中蕴含着更丰富的信息,如气体的温度、压力等。

Abstract

In view of the fact that other harmonic components besides the second harmonic still contain concentration information,three concentration inversion methods based on 2nd-/4th-harmonics, 2nd-/4th-/6th-harmonics, and 2nd-/4th-/6th-/8th-harmonics, as well as their corresponding expressions, are presented while the optimal value of the modulation depth for each inversion method is evaluated. The main forms of noise interference in gas concentration detection systems are also analyzed and the usefulness of multiple harmonic analysis for noise suppression is proved theoretically. Finally, an experimental verification scheme is given for reference. Our simulation''s results indicate that the above methods can reduce concentration inversion errors by 31.38%, 42.03%, and 47.45%, respectively, as compared with the 2nd-harmonic-based method.

Newport宣传-MKS新实验室计划
补充资料

DOI:10.3788/AOS201939.1030001

所属栏目:光谱学

基金项目:国家自然科学基金面上项目、国家自然科学基金重点项目、国家自然科学基金创新研究群体科学基金;

收稿日期:2019-03-25

修改稿日期:2019-05-23

网络出版日期:2019-10-01

作者单位    点击查看

刘紫怀:中南大学自动化学院, 湖南 长沙 410083
阳春华:中南大学自动化学院, 湖南 长沙 410083
罗旗舞:中南大学自动化学院, 湖南 长沙 410083
朱高峰:湖南人文科技学院信息学院, 湖南 娄底 417000

联系人作者:刘紫怀(liuzihuai@csu.edu.cn); 阳春华(ychh@csu.edu.cn); 罗旗舞(luoqiwu_csu@163.com);

备注:国家自然科学基金面上项目、国家自然科学基金重点项目、国家自然科学基金创新研究群体科学基金;

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引用该论文

Zihuai Liu,Chunhua Yang,Qiwu Luo,Gaofeng Zhu. Gas Concentration Inversion Method Based on Multiple Harmonic Joint Analysis[J]. Acta Optica Sinica, 2019, 39(10): 1030001

刘紫怀,阳春华,罗旗舞,朱高峰. 基于多次谐波联合分析的气体浓度反演方法[J]. 光学学报, 2019, 39(10): 1030001

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