红外技术, 2018, 40 (6): 603, 网络出版: 2018-08-04   

基于近红外TDLAS检测技术的甲烷浓度场重建研究

Research of Methane Concentration Field Reconstruction Based on Near Infrared TDLAS Detection Technology
作者单位
军事科学院防化研究院,国民核生化灾害防护国家重点实验室,北京 102205
摘要
为了实现对气体浓度场二维分布重建,基于可调谐半导体激光吸收光谱技术,以甲烷作为目标气体,选取1653.72 nm 的吸收峰位,采用直接吸收的测量手段,探测了浓度为2.97%的甲烷近红外光谱信息,通过断层重建算法对甲烷浓度场进行了模拟重建和实验研究。模拟重建采用了12×12 共144个方格的正方形重建区域,假定了一个方形区域内的具有多个空穴的浓度分布,模拟72 条光束从4个方向穿过重建区域,获取模拟光线下的投影值,经过实验统计代数重建算法均方根误差为5.58%,模拟退火算法均方根误差为8.38%;对模拟投影信号加入不同信噪比的高斯白噪声之后再进行重建,均方根误差在9.17%~15.30%之间。实验装置采用面源泄露扩散方法,通过在中心附近放置石英柱的方式人为制造浓度空穴,形成非均匀浓度场。通过对代数重建算法和模拟退火算法的重建结果对比,能够看到模拟退火算法在近红外吸收光谱层析重建方法中的应用可行性。
Abstract
In order to achieve the reconstruction of two-dimensional distribution of a gas concentration field, tunable diode laser absorption spectroscopy based on using methane as the target gas, selected 1653.72 nm absorption peaks, the measurement of direct absorption, the detection of the methane concentration of 2.97% near infrared spectral information, through the fault reconstruction of the methane concentration field simulation and reconstruction experimental study. Simulation reconstruction uses a 12×12 square reconstruction region with a total of 144 squares, assuming a square region having a plurality of hole concentration distribution, simulates 72 beams through the reconstruction area from 4 directions to obtain light projection simulation values, through the experimental statistical algebraic reconstruction algorithm, and the RMS error is 5.58%, simulated annealing algorithm of RMS is 8.38%; after the simulated projection signal with different SNR Gauss white noise and reconstruction, the RMS error is between 9.17%-15.30%. In the experimental device, a non-uniform concentration field is formed by the method of surface source leakage and diffusion, by placing a quartz column in the vicinity of the center. By comparing the reconstruction results of the algebraic reconstruction algorithm and simulated annealing algorithm, we can see the feasibility of the simulated annealing algorithm in the near infrared absorption tomography reconstruction method.
参考文献

[1] 朱晓睿,卢伟业,饶雨舟,等.TDLAS直接吸收法测量CO2的基线选择方法[J].中国光学,2017,10(4):455-461.

    ZHU X R, LU W Y, RAO Y Z, et al. Selection of baseline method in TDLAS direct absorption[J]. Chinese Optics, 2017, 10(4): 455-461.

[2] Krishna Y, O'Byrne S. Tunable diode laser absorption spectroscopy as a flow diagnostic tool: a review [J]. Journal of the Indian Institute of Science, 2016, 96(1): 17-28.

[3] Busa K M, Rice B, Mcdaniel J C, et al. Direct measurement of combustion efficiency of a dual-mode scramjet via TDLAT and SPIV (Invited)[C]// AIAA Aerospace Sciences Meeting, 2015: DOI: 10.2514/6.2015-0357.

[4] Nadir Z, Brown M S, Comer M L, et al. Gaussian mixture prior models for imaging of flow cross sections from sparse hyperspectral measurements[C]// Signal and Information Processing of IEEE, 2016: DOI:10.1109/GlobalSIP.2015.7418251.

[5] Busa K M, Brown M S, Gruber M, et al. Common-path measurement of H2O, CO, and CO2 via TDLAS for combustion progress in a hydrocarbon-fueled scramjet[C]// AIAA Aerospace Sciences Meeting, 2015: DOI: 10.2514/6.2016-0659.

[6] ZHANG G, LIU J, XU Z, et al. Characterization of temperature non-uniformity over a premixed CH4 ——air flame based on line-of-sight TDLAS[J]. Applied Physics B, 2016, 122(1): 3.

[7] 李金义.基于可调谐激光吸收光谱的燃烧场温度测量研究[D].天津:天津大学,2013.LIJY.

    Study on temperature measurement of combustion field based on tunable laser absorption spectroscopy[D]. Tianjin: Tianjin University, 2013.

[8] DING N, ZHANG S B. Water vapor tomography algebraic reconstruction algorithm based on the prime number decomposition access order[J]. Geography and Geo-Information Science, 2017.

[9] Jeon M G, Deguchi Y, Kamimoto T, et al. Performances of new reconstruction algorithms for CT-TDLAS(Computer Tomography- Tunable Diode Laser Absorption Spectroscopy)[J]. Applied Thermal Engineering, 2016, 115: 1148-1160.

[10] CAI W, Kaminski C F. Tomographic absorption spectroscopy for the study of gas dynamics and reactive flows[J]. Progress in Energy & Combustion Science, 2017, 59:1-31.

[11] 宋俊玲,洪延姬,王广宇,等.基于激光吸收光谱技术的燃烧场气体温度和浓度二维分布重建研究[J].物理学报,2012,61(24):240702-240702.

    SONG J L, HONG Y J, WANG G Y, et al. Study on two-dimensional distribution reconstruction of gas temperature and concentration in combustion field based on laser absorption spectroscopy[J]. Acta Physica Sinica, 2012, 61(24): 240702-240702.

[12] XIA H H, KAN R F, LIU J G, et al. Analysis of algebraic reconstruction technique for accurate imaging of gas temperature and concentration based on tunable diode laser absorption spectroscopy[J]. Chinese Physics B, 2016, 25(6): 246-253.

[13] 程乐红.基于不完全投影数据的气体扩散分布重建迭代层析成像算法的研究[D].合肥:合肥工业大学,2015.

    CHENG L H. Study of iterative tomography algorithm for gas diffusion and distribution reconstruction based on incomplete projection data[D]. Hefei: HeFei University of Technology, 2015.

[14] 任宏德.基于模拟退火算法优化的超分辨率图像重建[J].激光杂志,2016,37(2):38-41.

    REN H D. Super resolution image reconstruction based on simulated annealing algorithm[J]. Laser Journal, 2016, 37(2): 38-41.

[15] 李可.基于吸收光谱技术的燃烧场温度与浓度层析成像方法研究[D].南京:东南大学,2016.

    LI K. Study on Tomography of Temperature and Concentration in Combustion Based on Absorption Spectrum Technology[D]. Nanjing: Southeast University, 2016.

[16] 孙朝晖,周明全,耿国华.模拟退火算法在三维重建问题中的应用[J].西北大学学报:自然科学版,2001,31(2):105-107.

    SUN C H, ZHOU M Q, GENG G H, et al. Application of simulated annealing algorithm in three dimensional reconstruction problem[J]. Journal of Northwest University: Natural Science Edition, 2001, 31(2): 105-107.

[17] PENG D, JIN Y, ZHAI C. Research on reconstruction algorithms for 2D temperature field based on TDLAS[C]//Optical and Optoelectronic Sensing and Imaging Technology. International Society for Optics and Photonics, 2015: 967414.

[18] XIA H, XU Z, KAN R, et al. Numerical study of two-dimensional water vapor concentration and temperature distribution of combustion zones using tunable diode laser absorption tomography[J]. Infrared Physics & Technology, 2015, 72: 170-178.

张旭, 郭腾霄, 杨柳, 丁学全, 曹树亚. 基于近红外TDLAS检测技术的甲烷浓度场重建研究[J]. 红外技术, 2018, 40(6): 603. ZHANG Xu, GUO Tengxiao, YANG Liu, DING Xuequan, CAO Shuya. Research of Methane Concentration Field Reconstruction Based on Near Infrared TDLAS Detection Technology[J]. Infrared Technology, 2018, 40(6): 603.

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