Multiwavelength sensing of smoke using a polychromatic LED: Mie extinction characterization using HLS analysis

A multiwavelength-sensing scheme using a polychromatic light-emitting diode has been developed for monitoring smoke to allow combustion material to be characterized. Spectral analysis uses HLS chromaticity parameterization to examine the interaction effects on the transmission of polychromatic light due to airborne aerosol/particles. The effects of wavelength and sample are investigated, and it is shown that, by using HLS analysis, it is possible to uniquely identify a combustion material by variations in lightness and saturation over a range of hue values. Lightness and saturation are shown to follow a distinct locus unique to the smoke from the combustion material, although the effect of fuel-oxygen mixing ratios have not been investigated and the data set is limited to two proof-of-concept case studies. The technique may, therefore, be applied to fire detection in inaccessible or remote areas (e.g., chemical plant, aircraft engines, etc.) where the type of response may be critical and dependent on combustion material. It may also potentially be used to identify liquids from their aerosol.

[1]  R. Aspey,et al.  In situ optical sensing of diesel exhaust particulates using a polychromatic LED source , 2003 .

[2]  A. F. Sarofim,et al.  Optical Constants of Soot and Their Application to Heat-Flux Calculations , 1969 .

[3]  Haim Levkowitz,et al.  GLHS: A Generalized Lightness, Hue, and Saturation Color Model , 1993, CVGIP Graph. Model. Image Process..

[4]  W. Mulholland TWO CHAPTER 13 Smoke Production and Properties , .

[5]  Compact optical smoke sensor that uses an integrating cylinder. , 2003, Applied optics.

[6]  J. M. Singer,et al.  Three-wavelength light transmission technique to measure smoke particle size and concentration. , 1979, Applied optics.

[7]  W. Wiscombe Improved Mie scattering algorithms. , 1980, Applied optics.

[8]  Reinhard Niessner,et al.  Photoacoustic soot sensor for in-situ black carbon monitoring , 1996 .

[9]  A. Hanbury,et al.  A 3D-polar Coordinate Colour Representation Suitable for Image Analysis , 2003 .

[10]  N. Ladommatos,et al.  Quantitative investigation of soot distribution by laser-induced incandescence. , 2000, Applied optics.

[11]  Richard E. Chase,et al.  Size Distributions of Motor Vehicle Exhaust PM: A Comparison Between ELPI and SMPS Measurements , 2000 .

[12]  P. Nebiker,et al.  Photoacoustic gas detection for fire warning , 2001 .

[13]  P. C. Russell,et al.  Chromatic interferometry for an intelligent plasma processing system , 1994 .

[14]  Quasi-monodisperse particulate characterisation with optical fibers and a three-wavelength scattering technique , 1995 .

[15]  Paulo J. G. Lisboa,et al.  Parameter monitoring using neural-network-processed chromaticity , 1997 .

[16]  R. Dobbins,et al.  Optical Scattering Cross Sections for Polydispersions of Dielectric Spheres , 1966 .

[17]  Milton Kerker,et al.  The Scattering of Light and Other Electromagnetic Radiation ~Academic , 1969 .

[18]  G. Gouesbet,et al.  Mie theory calculations: new progress, with emphasis on particle sizing. , 1979, Applied optics.

[19]  Takashi Kashiwagi,et al.  Comparisons of the soot volume fraction using gravimetric and light extinction techniques , 1995 .

[20]  H. V. Hulst Light Scattering by Small Particles , 1957 .