Paper
29 May 2014 Three dimensional temperature estimation of a fire plume using multiple longwave infrared camera views
Michele B. Lohr, Michael E. Thomas, Todd M. Neighoff, Daniel T. Prendergast, Austin G. Dress, Sean T. Happel, Karen M. Siegrist, Yale Chang
Author Affiliations +
Abstract
In order to determine true radiometric quantities in intense fires a three dimensional (3D) understanding of the fire radiometric properties is desirable, e.g., for estimating peak fire temperatures. Imaging pyrometry with a single infrared camera view can provide only two dimensional path-averaged radiometric information. Multiple camera views, however, can form the basis for determining 3D radiometric information such as radiance, emissivity, and temperature. Analytically the fire can be divided into sub-volumes in which radiometric properties are assumed roughly constant. Using geometric and thermal equilibrium relationships between the fire sub-volumes, together with LWIR camera imagery acquired at multiple carefully defined camera views, radiometric properties of each sub-volume can be estimated. In this work, initial proof-of-principle results were obtained by applying this analysis to sets of LWIR camera imagery acquired during intense (2500 – 3000 K) fires. We present 3D radiance and temperature maps of the fires obtained using this novel approach.
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Michele B. Lohr, Michael E. Thomas, Todd M. Neighoff, Daniel T. Prendergast, Austin G. Dress, Sean T. Happel, Karen M. Siegrist, and Yale Chang "Three dimensional temperature estimation of a fire plume using multiple longwave infrared camera views", Proc. SPIE 9071, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV, 90711C (29 May 2014); https://doi.org/10.1117/12.2050828
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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Cameras

3D metrology

Long wavelength infrared

Infrared cameras

Microbolometers

Pyrometry

3D modeling

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