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Standoff identification and quantification of flare emissions using infrared hyperspectral imaging

机译:红外高光谱成像的支出识别和爆发排放量的定量

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There is growing interest in measuring gaseous emissions to understand their environmental impact. It is thus desired to identify and quantify such emissions, ideally from standoff distances. AFIT and Telops have performed several field experiments, using the Telops Hyper-Cam infrared hyperspectral imager to perform identification and quantification of gaseous emissions from various pollution sources. Recent experiments have focused on turbulent gaseous emissions from sources of great interest from the environmental protection community, such as emergency flares. It is important to understand the flare emissions under varying operating conditions. This paper presents the first results of flare emission measurements with the Hyper-Cam
机译:对测量气态排放来说,越来越感兴趣以了解他们的环境影响。因此希望理想地识别和量化这些排放,理想地来自距离距离。后备和纺圈已经使用纺织超级凸轮红外高光谱斑点进行了多次现场实验,以进行各种污染源的气态排放的识别和量化。最近的实验主要从环境保护界的极大兴趣源的湍流气体排放,如紧急燃烧。了解不同运行条件下的爆发排放非常重要。本文介绍了带有超级凸轮发射测量的第一个结果

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