Electrical-domain self-adaptive mid-infrared laser-based methane sensor system

Fang SONG; Shuo YANG; Di YU; Yan-wen ZHOU; Chuan-tao ZHENG; Yi-ding WANG

doi:10.3788/OPE.20182608.1910

您当前的位置：

首页 >

文章列表页 >

Electrical-domain self-adaptive mid-infrared laser-based methane sensor system

Laser Spectroscopy | 更新时间：2020-08-13

- Electrical-domain self-adaptive mid-infrared laser-based methane sensor system
- Optics and Precision Engineering Vol. 26, Issue 8, Pages: 1910-1916(2018)
- 作者机构：
  
  1.吉林大学电子科学与工程学院集成光电子学国家重点联合实验吉林大学实验区, 吉林长春 130012
  2.吉林省红外气体传感技术工程研究中心, 吉林长春 130012
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20182608.1910
  CLC： TN21
- Received：04 April 2018，
  
  Accepted：25 April 2018，
  
  Published：25 August 2018
- 稿件说明：
移动端阅览
Fang SONG, Shuo YANG, Di YU, et al. Electrical-domain self-adaptive mid-infrared laser-based methane sensor system[J]. Optics and precision engineering, 2018, 26(8): 1910-1916.
DOI：

Fang SONG, Shuo YANG, Di YU, et al. Electrical-domain self-adaptive mid-infrared laser-based methane sensor system[J]. Optics and precision engineering, 2018, 26(8): 1910-1916. DOI： 10.3788/OPE.20182608.1910.

摘要

为了抑制甲烷传感器中统计特性无法预知的电学噪声，本文结合递归最小二乘自适应去噪算法和直接吸收光谱技术，使用中心波长为3 291 nm的带间级联激光器和多反射吸收气室，研制了一种电域自适应中红外甲烷传感器系统。在传统探测器输出信号（称为信号通道）的基础上，增加了激光器电流驱动器的反馈信号作为噪声通道来感知电学噪声。利用MATLAB软件对最小二乘法在直接吸收光谱技术中的滤波效果进行了仿真。通过在激光器驱动信号中施加不同的噪声，实验验证了最小二乘法的去噪效果。针对该传感器的Allan标准差结果表明，当不使用自适应最小二乘法时，系统在积分时间为6 s的检测下限为78.8 nL/L；使用RLS自适应算法时，系统的检测下限为43.9 nL/L。相比基于传统传感结构和滤波方法的中红外直接吸收光谱传感器，本文所报道的中红外甲烷传感器由于采用了电域自适应滤波方法，因而呈现出更好的抗干扰性和稳定性。

Abstract

In order to suppress sensor noise with unknown statistical properties in an electrical domain

a novel mid-infrared CH

sensor was proposed based on a 3 291 nm interband cascade laser and a multipass gas cell. This sensor operates using Recursive Least Square (RLS) self-adaptive denoising algorithm and Direct Laser Absorption Spectroscopy (DLAS) technique. Based on the traditional detector output (called the signal channel)

a noise channel was added to generate electrical noise using the feedback signal of the laser driver. Numerical simulation in MATLAB was performed to evaluate the filtering performance of the RLS algorithm in the DLAS application. By adding different noise into the driving signal of the laser

potential denoising and sensing capabilities of the RLS algorithm were experimentally evaluated. Taking into account only the intrinsic noise of the sensor

the Allan deviation indicates a measurement precision of~78.8 nL/L) with a~6 s averaging time without using any filter. For comparison

Allan deviation of~43.9 nL/L was obtained with a~6 s averaging time using self-adaptive filtering. The reported sensor

incorporating the RLS self-adaptive denoising algorithm

demonstrates enhanced noise immunity and sensitivity compared to the mid-infrared DLAS sensor using the traditional sensing architecture and the filtering method.

关键词

Keywords

references

宋磊, 徐文佳, 刘译阳.甲烷排放检测技术应用现状综述[J].油气田环境保护, 2017, 27(3):1-4.

SONG L, XU W J, LIU Y Y. Introduction of technologies and application of methane emission monitoring[J]. Environmental Protection of Oil and Gas Field, 2017, 27(3):1-4. (in Chinese)

张雪, 胡凝, 刘寿东, 等.南京城市交通甲烷排放特征[J].环境科学, 2017, 38(2):469-475.

ZHANG X, HU N, LIU SH D, et al.. Characteristics of methane emission from urban traffic in Nanjing[J].Environmental Science, 2017, 38(2):469-475. (in Chinese)

郑守国, 李淼, 张健, 等.痕量N 2 O气体检测系统的设计与实现[J].光学精密工程, 2012, 20(10):2154-2160.

ZHENG SH G, LI M, ZHANG J, et al.. Design and implementation of trace N 2 O detection system[J]. Opt. Precision Eng., 2012, 20(10):2154-2160.(in Chinese)

陈俊英, 林辉.甲烷检测技术的研究现状[J].现代仪器与医疗, 2007, 13(5):1-3.

CHEN J Y, LIN H. The development of CH 4 detection technique[J].Modern Instruments & Medical Treatment, 2007, 13(5):1-3. (in Chinese)

郑玲娇, 牛新涛, 王嘉宁, 等.中红外二氧化碳传感器的研制及在农业中的应用[J].光子学报, 2017, 46(8):0812004.

ZHENG L J, NIU X T, WANG J N, et al.. Development and agricultural application of a mid-infrared carbon dioxide sensor system[J]. Acta Photonica Sinica, 2017, 46(8):0812004. (in Chinese)

刘志伟, 李梓文, 李亚飞, 等.用于中红外甲烷检测的压强测量与补偿[J].光子学报, 2018, 47(2):0230002.

LIU ZH W, LI Z W, LI Y F, et al.. Pressure measurement and compensation for mid-infrared methane detection[J]. Acta Photonica Sinica, 2018, 47(2):0230002.(in Chinese)

CAO Y, SANCHEZ N P, JIANG W, et al.. Simultaneous atmospheric nitrous oxide, methane and water vapor detection with a single continuous wave quantum cascade laser[J].Optics Express, 2015, 23:2121-2132.

LI B, ZHENG C, LIU H, et al.. Development and measurement of a near-infrared CH 4 , detection system using 1.654 μ m wavelength-modulated diode laser and open reflective gas sensing probe[J]. Sensors & Actuators B Chemical, 2016, 225(7):188-198.

YU Y, SANCHEZ N P, GRIFFIN R J, et al.. CW EC-QCL-based sensor for simultaneous detection of H 2 O, HDO, N 2 O and CH 4 using multi-pass absorption spectroscopy[J]. Optics Express, 2016, 24(10):10391-10401.

DONG L, LI CH G, SANCHEZ N P, et al.. Compact CH 4 sensor system based on a continuous-wave, low power consumption, room temperature interband cascade laser[J]. Applied Physics Letters, 2016, 108(1):65.

YE W L, LI CH G, ZHENG CH T, et al.. Mid-infrared dual-gas sensor for simultaneous detection of methane and ethane using a single continuous-wave interband cascade laser[J]. Optics Express, 2016, 24(15):16973-16985.

LI J S, DENG H, SUN J, et al.. Simultaneous atmospheric CO, N 2 O and H 2 O detection using a single quantum cascade laser sensor based on dual-spectroscopy techniques[J]. Sensors & Actuators B Chemical, 2016, 231:723-732.

HAYKIN S. Recursive Least-Squares Algorithm, Adaptive Filter Theory[M]. 3rd ed.. Prentice-Hall, Inc., 1996.

ROTHMAN L S, GORDON I E, BABIKOV Y, et al.. The Hitran 2012 molecular spectroscopic database[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2013, 130:4-50.

张志荣, 夏滑, 董凤忠, 等.利用可调谐半导体激光吸收光谱法同时在线监测多组分气体浓度[J].光学精密工程, 2013, 21(11):2771-2777.

ZHANG ZH R, XIA H, DONG F ZH, et al.. Simultaneous and on-line detection of multiple gas concentration with tunable diode laser absorption spectroscopy[J]. Opt. Precision Eng., 2013, 21(11):2771-2777.(in Chinese)

谭滋中.基于自适应滤波的噪声抵消算法研究与应用[D].石家庄: 河北科技大学, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10082-1015314835.htm

TAN Z ZH. The Study on Algorithms and Applications of Noise Cancelling Technology Based on Adaptive Filter[D]. Shijiazhuang: Hebei University of Science and Technology, 2015. (in Chinese)

EWEDA E, MACCHI O. Convergence of the RLS and LMS adaptive filters[J]. IEEE Transactions on Circuits & Systems, 1987, 34(7):799-803.

CHENG X ZH, XU J D, WEI A Y, et al.. Application of RLS adaptive filtering in signal de-noising[J].Journal of Measurement Science and Instrument, 2014, 5(1):32-36.

Views

325

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Calibration and correction of geometric errors in laser tracker

Model establishment and error correction of FMCW lidar

A fast and robust method for detecting elliptical character of cooperative targets in industrial complex background

Least square fitting and error evaluation of the convex contour of bearing roller

Compact mid-infrared trace gas detection system based on TDLAS and ICL

Related Author

WANG Shan

ZHANG Zili

DONG Dengfeng

ZHOU Weihu

JI Rongyi

PAN Yingling

WANG Guoming

CUI Chengjun

Related Institution

University of Chinese Academy of Sciences

Institute of Microelectronics of the Chinese Academy of Sciences

Beijing Aerospace Institute for Metrology and Measurement Technology

Institute of Ultra-precision Optoelectronic Instrument Engineering， Harbin Institute of Technology

Institute of Microelectronics Chinese Academy of Sciences

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰