大气与环境光学学报 ›› 2017, Vol. 12 ›› Issue (5): 393-400.

• 光电技术 • 上一篇    

基于TDLAS的二维温度场分布反演软件设计

陈福多1,2, 刘建国2, 阚瑞峰2, 许振宇2, 夏晖晖2, 陈祥2   

  1. (1 中国科学技术大学环境科学与光电技术学院, 安徽 合肥 230026; 
    2 中国科学院安徽光学精密机械研究所 中国科学院环境光学与技术重点实验室,安徽 合肥 230031)
  • 出版日期:2017-09-28 发布日期:2017-09-21
  • 通讯作者: 陈福多 (1990-), 男, 汉族, 安徽六安人, 主要从事二维温度场分布反演软件设计方面的研究。 E-mail:fdchen@aiofm.cas.cn
  • 作者简介:陈福多 (1990-), 男, 汉族, 安徽六安人, 主要从事二维温度场分布反演软件设计方面的研究。
  • 基金资助:

    Supported by National Key Scientific Instrument and Equipment Development Project of China(国家重大科学仪器设备开发专项, 2014YQ060537)

Software Design Based on TDLAS for Two-Dimensional Temperature Field Distribution Inversion

CHEN Fuduo1,2, LIU Jianguo2, KAN Ruifeng2, XU Zhenyu2, XIA Huihui2, CHEN Xiang2   

  1. (1 School of Environment Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China; 
    2 Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China)
  • Published:2017-09-28 Online:2017-09-21
  • About author:陈福多 (1990-), 男, 汉族, 安徽六安人, 主要从事二维温度场分布反演软件设计方面的研究。
  • Supported by:

    Supported by National Key Scientific Instrument and Equipment Development Project of China(国家重大科学仪器设备开发专项, 2014YQ060537)

摘要:

可视化的二维温度场分布反演软件对温度场重建分布起到了重要的作用。基于可调谐二极管激光吸收光谱(tunable diode laser absorption spectroscopy, TDLAS)技术,结合代数迭代算法(algebraic reconstruction technique, ART)和Python设计语言,在读取两组积分吸光度的基础上,设计了二维温度场分布的可视化软件。软件结合激光吸收光谱技术和计算机断层扫描方法,封装了二维温度场重建的算法,在此基础上,添加可视化的操作界面,实现二维温度场重建的原始分布和插值后的分布。针对高斯分布的重建,与原始分布进行比较,结果显示,中心区域温度值较高,边缘较小。结果表明,ART算法和TDLAS技术的结合能够很好地实现二维温度场的反演,克服了TDLAS视线测量的缺陷。

关键词: TDLAS, 代数迭代算法, 二维温度场重建, Python

Abstract:

The visualization of 2D temperature field distribution inversion software plays an important role in the distribution of temperature field reconstruction. Based on tunable diode laser absorption spectroscopy (TDLAS) technology, combined with the algebraic reconstruction technique (ART) and Python programming language, based on two groups of integral absorbance, the visualization software of two-dimensional temperature field distribution was designed. Combined with laser absorption spectroscopy and computed tomography method, the two-dimensional temperature field reconstruction algorithm was packaged. Then the visual interface was added and the original distribution and the interpolation distribution of the two-dimensional temperature field reconstruction were achieved. The reconstructed results are of higher temperature of central zone and lower edge, which indicates that the ART algorithm and TDLAS technology can be combined to achieve the 2D temperature field and overcome the defect of TDLAS line-of-sight measurement.

Key words: tunable diode laser absorption spectroscopy, algebraic reconstruction technique, 2D temperature filed reconstruction, Python

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