Hazards management in Grand County, Colorado— Fire fuels characterization

Cole, Christopher; Lile, Elizabeth; Briggs, J.L.

doi:10.3133/fs20083078

Cited by 1 publication

(1 citation statement)

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“…Previous studies have relied on the relationship between forward, lateral, and backward scattering ratios, but models that do not contain ratio values have very similar results to models that include all combinations of ratio values. Cole et al [38] used the ratio of blue and infrared light scattering intensities at forward and backward scattering angles to classify aerosols with information on whether the aerosol particle size is greater than 1µm. A later detection using finer instruments found that although the particle size of fire smoke particles was mainly below 1µm, there was still overlap around 1µm and could not accurately distinguish between fire particles and interference particles [39] .…”

Section: Scattering Anglementioning

confidence: 99%

A review on aircraft cargo compartment fire detection using dual-wavelength sensors

Deng,

Wu,

Zhou

et al. 2023

Third International Computing Imaging Conference (CITA 2023)

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Fire detection is one of the most important components of the aeroplane fire prevention system, particularly for not accessible cargo compartments (Class C, D, E). Although technology is rapidly developing, there are still defects and lags in technology updates at the application end, photoelectric smoke detectors determine fire state conditions based on the intensity of light scattered by smoke particles, while the light scattering effect of non-fire interference aerosols can also induce false alarm, leading to a certain extent to inefficient operation in terms of security. So far, the main development direction of fire detection is to identify the characteristics of fire smoke and interference sources according to the different aerosol particles present in the specific environment of aircraft cargo compartments to assure or even improve the early identification rate of fire, while minimizing false alarm rate of fire detection system. It is observed that C919 was the first to adopt dual-wavelength smoke detection technology during test flight. Compared with conventional photoelectric smoke detector, it applies infrared and blue wavelengths to further enhance the ability to identify smoke particles and resist false alarms by comparing the infrared and blue scattered light response signals of smoke particles and interference particles.

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Section: Scattering Anglementioning

confidence: 99%