Multi-Component Gas Monitoring System Based on an Long-Path Gas Cell

YAN Zeyu; SUN Zuo; FEI Ning; LIU Tao; WAN Tao; LIU Bangxue

doi:10.12338/j.issn.2096-9015.2023.0240

Volume 67 Issue 9

Sep. 2023

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Article Navigation > Metrology Science and Technology > 2023 > 67(9): 49-55

YAN Zeyu, SUN Zuo, FEI Ning, LIU Tao, WAN Tao, LIU Bangxue. Multi-Component Gas Monitoring System Based on an Long-Path Gas Cell[J]. Metrology Science and Technology, 2023, 67(9): 49-55. doi: 10.12338/j.issn.2096-9015.2023.0240

Citation:

YAN Zeyu, SUN Zuo, FEI Ning, LIU Tao, WAN Tao, LIU Bangxue. Multi-Component Gas Monitoring System Based on an Long-Path Gas Cell[J]. Metrology Science and Technology, 2023, 67(9): 49-55. doi: 10.12338/j.issn.2096-9015.2023.0240

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Multi-Component Gas Monitoring System Based on an Long-Path Gas Cell

doi: 10.12338/j.issn.2096-9015.2023.0240

Chongqing University, Chongqing 400044, China

Received Date: 2023-10-24
Accepted Date: 2023-11-03
Rev Recd Date: 2023-11-21

Available Online: 2023-11-24

Publish Date: 2023-09-18

Abstract

Abstract

To address the monitoring needs of low-concentration multi-component hazardous gases in industrial environments and reduce the size of measurement instruments, a long-path gas absorption cell using the White cell structure was developed. This cell aims to lower the detection limit, enabling the detection of low-concentration multi-component hazardous gases. This paper discusses the design, working principles, and simulation results of the long-path gas absorption cell, as well as the setup of the optical experimental platform, selection of the infrared light source, and infrared pyroelectric detectors. Experiments based on this setup were conducted, and the least squares method was employed to derive concentration inversion models for various gases. These models were validated using different combinations of standard gases, and the relative errors of the experimental results were calculated. The results indicate that the designed multi-component hazardous gas online monitoring instrument can detect concentrations as low as 5 μL/L with a measurement error of ≤±5%F.S. (full scale), meeting the needs for low-concentration multi-component hazardous gas measurements.
- metrology,
- non-dispersive infrared (NDIR),
- gas,
- long-path gas cell,
- White cell,
- pyroelectric detector

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References(30)

References

[1]	TAN Q L, TANG L C, YANG M L, et al. Three-gas detection system with IR optical sensor based on NDIR technology[J]. Opt. Lasers Eng, 2015, 74: 103-108.
[2]	方丽丽. 基于NDIR的CO₂气体浓度监测的飞机火警探测关键技术研究[D]. 合肥: 中国科学技术大学, 2016.
[3]	陈胜源. 基于NDIR技术的SF₆气体浓度检测系统设计[D]. 武汉: 华中科技大学, 2019.
[4]	赵勇毅. 基于NDIR技术的双组分气体传感系统的设计与实现[D]. 南京: 南京信息工程大学, 2021.
[5]	潘斐. 基于NDIR和神经网络的甲烷辨别系统设计与实现[D]. 南京: 南京信息工程大学, 2023.
[6]	王蕊. 红外光谱仪长光程气体池的研究[D]. 天津: 天津大学, 2007.
[7]	王玮琪. 高精度红外多气体传感器吸收池的研究与设计[D]. 长春: 吉林大学, 2014.
[8]	钟国强. 面向红外气体检测的多通池研制与应用[D]. 长春: 吉林大学, 2020.
[9]	张云波. 基于NDIR和双通道锁相放大器的高灵敏度乙烯气体传感器系统研究[D]. 武汉: 华中科技大学, 2022.
[10]	李洪刚, 关淑翠, 李永刚, 等. 基于ZEMAX的傅里叶红外多组分气体分析仪的光学设计[J]. 承德石油高等专科学校学报, 2023, 25(1): 55-58. doi: 10.3969/j.issn.1008-9446.2023.01.013
[11]	沈俞. 基于TDLAS技术的批量种子活力检测分选生产线的设计与研制[D]. 湖州: 湖州师范学院, 2022.
[12]	刘培源, 李剑, 夏春, 等. 多种气体对烟气分析仪中电化学传感器的交叉干扰研究[J]. 计量科学与技术, 2023, 67(7): 62-67,52. doi: 10.12338/j.issn.2096-9015.2023.0221
[13]	潘甫钱, 胡斌, 梁晓瑜, 等. 非色散红外CO₂传感器温度补偿方法研究[J]. 激光与红外, 2023, 53(6): 887-894. doi: 10.3969/j.issn.1001-5078.2023.06.012
[14]	李亚飞. 基于红外吸收光谱的气体检测技术与应用[D]. 长春: 吉林大学, 2023.
[15]	王德发, 李琪 , 叶菁, 等. 气体测量中的线性拟合 [J]. 计量科学与技术, 2022, 66 (10): 3-9.
[16]	魏丽君, 粟慧龙. 非分光红外(NDIR)探硫传感器的研究与设计[J]. 现代电子技术, 2023, 46(10): 31-36.
[17]	姚展, 郗艳华. 一种基于NDIR汽车尾气检测系统改进设计[J]. 内燃机与配件, 2022(23): 109-111.
[18]	王林峰. 用于NDIR气体传感器的硅基红外光源的研制[D]. 大连: 大连理工大学, 2023.
[19]	郭瑞民. 气体光谱计量技术研究进展[J]. 计量科学与技术, 2022, 66(10): 52-56. doi: 10.12338/j.issn.2096-9015.2022.0145
[20]	靳长明. NDIR低功耗自供电式二氧化碳传感器设计[D]. 太原: 中北大学, 2023.
[21]	江湃. 具有长光程的多通道红外气体传感系统[D]. 武汉: 华中科技大学, 2022.
[22]	张赵良, 潘斐, 朱菊香. 基于NDIR的甲烷传感器微弱信号调理设计[J]. 自动化与仪表, 2021, 36(12): 85-88,91. doi: 10.19557/j.cnki.1001-9944.2021.12.019
[23]	熊涛. 新型光室结构的主流式NDIR呼吸CO₂监测系统研究[D]. 西安: 西安工业大学, 2021.
[24]	王玉婷, 江贵生, 李伶俐, 等. 光学气体吸收池的发展综述[J/OL]. 大气与环境光学学报 [2023-10-23]. http://kns.cnki.net/kcms/detail/34.1298.O4.20220930.1132.002.html.
[25]	孙奥龙, 钱宇昊, 王凯源, 等. 基于Zemax的新型对称式气体吸收池设计[J]. 光学技术, 2022, 48(4): 445-451. doi: 10.3321/j.issn.1002-1582.2022.4.gxjs202204011
[26]	王若竹. 基于TDLAS的痕量气体检测及燃烧场温度测量研究[D]. 哈尔滨: 哈尔滨工业大学, 2022.
[27]	马若梦. 基于多次反射直接吸收的烟道气二氧化碳浓度测量的研究[D]. 保定: 河北大学, 2020.
[28]	宋安. 基于光吸收的电子鼻气体传感方法研究[D]. 重庆: 重庆大学, 2021.
[29]	王福鹏. 吸收光谱法气体传感器的背景干扰消除和关键性能提升[D]. 济南: 山东大学, 2019.
[30]	陈晓, 李世光, 朱小磊, 等. 基于长程气体吸收池的单频纳秒脉冲激光光谱纯度测量[J]. 中国激光, 2019, 46(2): 126-131.