A TDLAS gas detection method based on digital signal modulation

被引:0
|
作者
Zhang, Lei [1 ]
Dai, Xin [1 ]
Zhang, Weihua [1 ]
Wang, Wenqing [1 ]
Liu, Xiaochen [1 ]
Li, Wenbo [1 ]
机构
[1] Shenyang Fire Sci & Technol Res Inst MEM, 218A Wenda Rd, Shenyang, Liaoning, Peoples R China
关键词
Optical sensing and sensors; Tunable diode laser absorption spectroscopy; Wavelength modulation spectroscopy; Direct absorption spectroscopy; Digital signal processing methods; SPECTROSCOPY; SENSOR; N2O;
D O I
10.1016/j.optcom.2024.131211
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This research presents a novel TDLAS gas concentration detection method based on digital modulation. The method inherits the advantage of a simple system structure from Direct Absorption Spectroscopy, as well as the excellent sensitivity of Wavelength Modulation Spectroscopy. A low-frequency sawtooth wave is employed to drive the laser, resulting in a digital direct absorption spectrum signal. By constructing a cosine modulation sequence in the time domain and performing linear interpolation on the direct absorption spectrum, it successfully converts to a wavelength-modulated absorption spectrum and simultaneously generates a digital reference signal at double the frequency. Ultimately, phase-locked amplification technology can be used to calculate the amplitude of the second harmonic. Since both the modulation and reference signals are generated digitally, they ensure a strict frequency-doubling relationship and phase correlation, which not only reduces the complexity of the hardware system but also effectively minimizes system errors. Because digital technology generates both the modulation and reference signals, it ensures that they have the same phase and a strict frequency-doubling relationship. Experimental results demonstrate that, when fitted by a cubic polynomial, the second harmonic amplitude and the gas concentration have a correlation coefficient (R2) 2 ) as high as 0.99999 and a root mean square error as low as 0.0011. This proves the method's great accuracy and reliability in practical applications.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Gas detection technology algorithm based on TDLAS
    Jia J.
    Li W.
    Chai H.
    Zhang S.
    Zhang M.
    Cui H.
    Liu J.
    Liu Z.
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2019, 48 (05):
  • [2] A Gas Detection Chip based on TDLAS technology
    Xu, LiKang
    Yu, Ningmei
    Zhang, Hejiu
    Liu, Ga
    2019 IEEE INTERNATIONAL CONFERENCE ON ELECTRON DEVICES AND SOLID-STATE CIRCUITS (EDSSC), 2019,
  • [3] Research on the Trace Detection of Carbon Dioxide Gas and Modulation Parameter Optimization Based on the TDLAS Technology
    Zhao Peng
    Tao Jun
    Yu Chang-rui
    Li Ye
    SELECTED PAPERS FROM CONFERENCES OF THE PHOTOELECTRONIC TECHNOLOGY COMMITTEE OF THE CHINESE SOCIETY OF ASTRONAUTICS: OPTICAL IMAGING, REMOTE SENSING, AND LASER-MATTER INTERACTION 2013, 2014, 9142
  • [4] Method of Spectrum Correction in Ethylene Detection based on TDLAS
    Zhang, Tingting
    Wei, Yubin
    Wang, Zhaowei
    Liu, Tongyu
    2017 16TH INTERNATIONAL CONFERENCE ON OPTICAL COMMUNICATIONS & NETWORKS (ICOCN 2017), 2017,
  • [5] Analysis and Detection of a Target Gas System Based on TDLAS & LabVIEW
    Alorifi, Fawzi
    Ghaly, Sidi M. Ahmed
    Shalaby, Mohamed Y.
    Ali, Mohamed Asad
    Khan, Mohammad Obaidullah
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2019, 9 (03) : 4196 - 4199
  • [6] An intelligent detector based on temperature modulation of a gas sensor with a digital signal processor
    Ortega, A
    Marco, S
    Perera, A
    Sundic, T
    Pardo, A
    Samitier, J
    SENSORS AND ACTUATORS B-CHEMICAL, 2001, 78 (1-3) : 32 - 39
  • [7] Signal detection circuit design of HCN measurement system based on TDLAS
    He Chungui
    Zhang Yujun
    Chen Chen
    Lu Yibing
    Liu Guohua
    Gao Yanwei
    You Kun
    He Ying
    Zhang Kai
    Liu Wenqing
    INFRARED TECHNOLOGY AND APPLICATIONS, AND ROBOT SENSING AND ADVANCED CONTROL, 2016, 10157
  • [8] Application of digital filtering to the gas monitoring with TDLAS
    Zhang S.
    Liu W.
    Zhang Y.
    Shu X.
    Kan R.
    He Y.
    Geng H.
    Xu Z.
    Liu J.
    Guangxue Xuebao/Acta Optica Sinica, 2010, 30 (05): : 1362 - 1367
  • [9] Research on VMD-Based Adaptive TDLAS Signal Denoising Method
    Mao, Minghui
    Chang, Jun
    Sun, Jiachen
    Lin, Shan
    Wang, Zihan
    PHOTONICS, 2023, 10 (06)
  • [10] Detection and calibration method for Decomposition of Sulfur Hexafluoride based on TDLAS
    Wang Chengzhi
    Jiang Meng
    Huang Qinqing
    Zhou Wen
    Jiang Yi
    Tian Shuyun
    AOPC 2020: OPTICAL INFORMATION AND NETWORK, 2020, 11569