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Reconstruction of Tomography Image of Chimney Plume from Power Plant

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针对多轴差分吸收光谱仪重建图像的时间分辨率较低的问题, 将成像差分吸收光谱仪技术与非负最小二乘法相结合, 提出了一种新的重建二氧化硫(SO2)气体的空间二维分布的方法。采用Savitzky-Golay滤波器对采样得到的柱浓度数据进行预处理, 使用顺序坐标法进行重建, 并利用克里金插值平滑重建图像。数值仿真结果表明, 重建图像的接近度最低可达0.11。实验结果表明, 所提方法从采集数据到完成图像重建的时间为52.37s, 适用于捕捉烟羽截面的瞬态浓度, 可实时重建SO2分布。


To address the problem associated with the relatively low temporal resolution of the multi-axis differential optical-absorption spectroscopy used for reconstructing images, we introduce a method to reconstruct the two-dimensional spatial distribution of SO2 gas by combining the imaging differential absorption spectroscopy technology with the non-negative least square method. The sampled column density data are preprocessed using a Savitzky-Golay filter, the sequential coordinate-wise algorithm is used for reconstruction, and Kriging interpolation is used to smooth the reconstructed image. The numerical simulation results demonstrate that the nearness index of the reconstructed image is the lowest (0.11). The experimental results show that the time required to collect data and reconstruct an image using the proposed method is 52.37 s, which is applicable to the capture of the transient concentration of a plume cross section and the real-time reconstruction of SO2 distribution.









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钟鸣宇:中国科学院安徽光学精密机械研究所, 安徽 合肥 230031中国科学技术大学, 安徽 合肥 230031安徽理工大学电气与信息工程学院, 安徽 淮南 232001
奚亮:中国科学院安徽光学精密机械研究所, 安徽 合肥 230031中国科学技术大学, 安徽 合肥 230031
司福祺:中国科学院安徽光学精密机械研究所, 安徽 合肥 230031
周海金:中国科学院安徽光学精密机械研究所, 安徽 合肥 230031
王煜:中国科学院安徽光学精密机械研究所, 安徽 合肥 230031


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Zhong Mingyu,Xi Liang,Si Fuqi,Zhou Haijin,Wang Yu. Reconstruction of Tomography Image of Chimney Plume from Power Plant[J]. Acta Optica Sinica, 2019, 39(5): 0501003

钟鸣宇,奚亮,司福祺,周海金,王煜. 电厂烟囱烟羽截面断层重建研究[J]. 光学学报, 2019, 39(5): 0501003

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