Detection and Suppression of Fires: A Cornerstone of Fire Protection Engineering

Gollner, Michael J.

doi:10.1007/s10694-016-0606-2

Cited by 10 publications

(4 citation statements)

References 11 publications

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Section: Introductionmentioning

confidence: 99%

“…Fire suppression plays a central role in fire protection and active firefighting 1 – 3 . Today, the combustion and fire science community is continually searching for more effective and flexible fire suppression technologies 3 – 5 . One proposing approach is the use of acoustic waves to destabilize and extinguish the diffusion flame 6 – 13 , because the flame is sensitive to the airflow field.…”

Section: Introductionmentioning

confidence: 99%

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Fluctuation and extinction of laminar diffusion flame induced by external acoustic wave and source

Xiong

Liu

Fan

et al. 2021

Sci Rep

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Acoustic wave can destabilize the flame and has a potential in firefighting, but the influences of the sound source and its frequency are still poorly understood. This work applies a loudspeaker to extinguish a laminar diffusion propane flame of 5–25 mm high, where the local sound frequency is 50–70 Hz and sound pressure is 0.8–3.2 Pa (92.0–104.1 dB). Results reveal a constant flame pulsating displacement at the extinction limit, independent of the sound environment used. Such a flame pulsating displacement is found to be caused by the motion of the speaker membrane (or diaphragm) and its induced wind, which could be two orders of magnitude larger than the displacement of the air that transmits acoustic wave. Thus, under the influence of sound source, a critical flame strain rate, stretched by the pulsating airflow, can be formulated to characterize the blow-off limit better than the local sound pressure. The sound source with a lower frequency can produce larger pulsating displacements of both membrane and flame, and thus promoting extinction. This work improves the understanding of flame dynamics under the external sound field and source, and it helps establish a scientific framework for acoustic-based fire suppression technologies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fluctuation and extinction of laminar diffusion flame induced by external acoustic wave and source

Xiong

Liu

Fan

et al. 2021

Sci Rep

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“…According to Japan's fire statistics, the number of deaths, injuries, and economic losses caused by fires in 2019 amounted to 1,477, 5,814, and 80.2 billion yen, respectively. Gollner [1] mentioned that the proper use of an effective fire-extinguishing agent can reduce these fire-induced losses.…”

Section: Introductionmentioning

confidence: 99%

Synthesis and combustion inhibition efficiency of iron short-chain perfluorocarboxylates

Koshiba

Tsunokuma

Ohtani

2020

Fire Safety Journal

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“…To overcome the drawbacks of conventional fire sensors [1], many visual fire detection methods have been proposed [2][3][4][5][6][7][8]. These methods utilise computer vision algorithms to recognise fire from videos or images.…”

Section: Introductionmentioning

confidence: 99%

Co‐occurrence matching of local binary patterns for improving visual adaption and its application to smoke recognition

Yuan

Shi

Xia

et al. 2018

IET Computer Vision

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It is challenging to recognize smoke from visual scenes due to large variations of smoke colors, textures and shapes. To improve robustness, we propose a novel feature extraction method based on similarity and dissimilarity matching measures of Local Binary Patterns (LBP). Given two bit-sequences of an LBP code pair, the similarity and dissimilarity matching measures are defined as the ratios of the 1-1 bitwise matching number to the 0-0 bitwise matching number and the 1-0 number to the 0-1 number, respectively. To capture local code variations, we calculate the measures between LBP codes of a center pixel and its neighbors. Then we compare each measure with its global mean to propose Similarity Matching based Local Binary Patterns (SMLBP) and Dissimilarity Matching based Local Binary Patterns (DMLBP). Since SMLBP and DMLBP extract spatial variations of the 1st order LBP codes, they actually represent the 2nd order variations of pixel values. Furthermore, we adopt different mapping modes and multi-scale neighborhoods to obtain rotation and scale invariances. Finally, we concatenate the histograms of LBP, SMLBP and DMLBP to generate a feature vector containing 1st and 2nd order information. Experiments show that our method obviously outperforms existing methods.

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Detection and Suppression of Fires: A Cornerstone of Fire Protection Engineering

Cited by 10 publications

References 11 publications

Fluctuation and extinction of laminar diffusion flame induced by external acoustic wave and source

Fluctuation and extinction of laminar diffusion flame induced by external acoustic wave and source

Synthesis and combustion inhibition efficiency of iron short-chain perfluorocarboxylates

Co‐occurrence matching of local binary patterns for improving visual adaption and its application to smoke recognition

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