TDLAS氧气检测系统设计及背景噪声在线消除
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(1.中国科学院安徽光学精密机械研究所,安徽省光子器件与材料重点实验室,安徽 合肥 230031; 2.中国科学技术大学 环境科学与光电技术学院,安徽 合肥 230000)

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庞涛(1981-),男,安徽阜阳人,博士研究生,主要从事高 灵敏气体在线检测新技术和方法研究.

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国家自然科学基金(11204320)和国家“863”计划(2007AA06Z420)资助项目 , 夏滑1, 吴边1, 张志荣1, 王煜1, 崔小娟1, 董凤忠 1,2 (1.中国科学院安徽光学精密机械研究所,安徽省光子器件与材料重点实验室,安徽 合肥 230031; 2.中国科学技术大学 环境科学与光电技术学院,安徽 合肥 230000)


Oxygen concentration detection system based on TDLAS and online el imination of background noise
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(1.Anhui Provincial Key Laboratory of Photonic Devices and Materials,Anhui Inst itute of Optics & Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,China; 2.Sch ool of Environment Science and Optoelectronic Technology,University of Science a nd Technology of China,Hefei 230000,China)

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    摘要:

    将可调谐半导体激光吸收光谱(TDLAS)技术用 于氧气(O2)浓度在线检测。以垂直腔表面发射半导体 激光器(VCSEL)为系统光源,采用对射式结构,测量光程为 60 cm, 选用760 nm附近O2吸收谱线,实现O2浓度实时测量。连续72 h测量表明,系统在短 时间内具有较好的测量精度,长时间(大于4h)测量结果存在缓慢漂移。在对一次谐波(1F )信号均值和二 次谐波(2F)信号峰值 变化趋势分析的基础上,讨论了背景噪声随测量环境变化引起的测量误差;并在背景噪声幅 频特性不变的前提下,利用最大互相关算法实时扣除背景噪声。 5%浓度O260 h测试发现,扣除背景噪声后,系统的最大相对测量误差由3.20%减小为1.82%,测量精度提高近1倍。

    Abstract:

    Oxygen concentration detection plays an important role in industrial p rocess control.In this paper,tunable diode laser absorption spectroscopy (TDLAS) is used for online m onitoring of oxygen concentration.The experimental system employs vertical cavity surface emitting lasers (VCSEL) with output wavelength of 760nm as light source and adopts the radio-type structur e with optical path of 60cm.Continuous measurement for 72hours shows that the system has a high a ccuracy in short time, but slow drift comes out when the time is longer than 4hours.Based on the anal ysis of first harmonic signal and second harmonic signal,this paper argues that the changes of backgro und noise causes measurement error,and the composition and characteristics of background noises o f the system are carried out and discussed too.After analyzing the system signal from the perspective of frequency domain, we propose that under the premise of the amplitude-frequency characteristic of the system′s background noise keeping stable,cross-correlation algorithm could be applied t o deduce the background noise in real-time.The test of 5% oxygen for 60hours points out th at after data processing, the maximum relative error is reduced from 3.2% to 1.82%.This indicates that th e proposed method could effectively improve the system′s performance.

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庞涛,夏滑,吴边,张志荣,王煜,崔小娟,董凤忠. TDLAS氧气检测系统设计及背景噪声在线消除[J].光电子激光,2015,26(3):575~580

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  • 收稿日期:2014-07-03
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  • 在线发布日期: 2015-04-26
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