A multi-modal video analysis approach for car park fire detection

Verstockt, Steven; Hoecke, Sofie Van; Beji, Tarek; Merci, Bart; Gouverneur, Benedict; Çetin, A. Enis; Potter, Pieterjan De; Walle, Rik Van de

doi:10.1016/j.firesaf.2012.07.005

Cited by 30 publications

(19 citation statements)

References 19 publications

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“…In most frameworks [35][36][37][38][39], this is performed by analyzing temperature and/or smoke measurements. An alternate approach has been developed in [40,41], reconstructing the HRR from video recordings of flame dimensions obtained with the means of a flame detection algorithm. Such video data could stem from surveillance cameras.…”

Section: Sensor-assisted Simulationsmentioning

confidence: 99%

“…Such video data could stem from surveillance cameras. Multimodal techniques, incorporating long-wave infra-red images in addition to visual data, seem a promising approach to overcome difficulties when cameras are immersed in smoke [40,41]. A projection of the HRR is then fed into a two-zone model to produce forecasts of upper layer temperature and smoke layer height.…”

Section: Sensor-assisted Simulationsmentioning

confidence: 99%

“…This efficiency depends on the optimization (i.e. inverse modeling) procedure and different methods are described in [35][36][37][38][39][40][41]. Further optimization and testing will undoubtedly be performed during the coming years.…”

Section: Sensor-assisted Simulationsmentioning

confidence: 99%

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Computer Modeling for Fire and Smoke Dynamics in Enclosures: A Help or a Burden?

Merci¹

2014

Fire Saf. Sci.

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Fire simulations are of unique value in different respects: for fire safety system design calculations, for improving our understanding (theory and model development and validation) and for fire forecasting. In this paper the effective use of computing power for the further development of fire safety science is discussed, considering only gas phase phenomena in fire and smoke dynamics in enclosures. Arguably, much effort needs to be devoted to multi-phase phenomena (pyrolysis modeling, the effect of water or other suppressants, etc.), but this is not discussed in the paper at hand.A common feature to all types of simulations is that the Required Computing Resources (RCR), determined by the envisaged accuracy and the complexity of the problem to be tackled, must be less than the Available Computing Resources (ACR). Accuracy, reliability and dimensionality of the models used, must therefore be related to the problem tackled. In order to make progress, bench-marking studies, as a joint effort made by modelers and experimentalists, with transparent communication, are argued to be a good approach for systematic progress in the development of, and confidence in, models.Using Computational Fluid Dynamics (CFD) can be very valuable for the development of theory and the study of detailed fluid mechanics phenomena, but several aspects are important to guarantee the quality of the results. Some ideas will be formulated on how to investigate requirements on the computational mesh. Turbulence -chemistry interaction (TCI) and turbulence -radiation interaction (TRI) are also discussed briefly. Yet, it is argued that a major source of uncertainty in computer simulations stems from (and will continue to stem from) the characterization of the ever changing and developing materials (i.e. the fuel), as well as from geometry dependent features (including ventilation and heat transfer). This affects the combustion and soot formation, and therefore the fire and smoke dynamics. Therefore, a user-defined fire will remain indispensible in the foreseeable future when using computer modeling for the sake of design of fire safety systems. Once this fire has been defined, CFD is best suited in regions where detail is required or complex flow patterns establish, while other forms of modeling can be considered in other regions.For real-time and forecasting applications, it is argued that sensor-assisted numerical simulations are very promising and their use is expected to become widespread in the coming decades. With increasing computing power, the use of CFD will become more feasible in this context, but for the time being zone model calculations (perhaps combined with CFD in regions where more detail is required) seem better suited to that purpose.

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Section: Sensor-assisted Simulationsmentioning

confidence: 99%

Section: Sensor-assisted Simulationsmentioning

confidence: 99%

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Computer Modeling for Fire and Smoke Dynamics in Enclosures: A Help or a Burden?

Merci¹

2014

Fire Saf. Sci.

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“…Fire localization can be performed by color cameras, infrared cameras, and thermal cameras [5], [6]. They are based on electromagnetic waves, and their performance depends on the wavelength.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Active Sounds for Fire Localization

Iwatani

Kasai

Torikai

2017

SICE Journal of Control, Measurement, and System Integration

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: Localization of fire in smoke environments enables fire-fighters to perform fire-fighting operations safely in a short time, and it is also required to develop autonomous fire-fighting robots. This paper provides a sound property available for fire localization by investigating sound transmission through flame-air interfaces, sound transmission across a gas flow whose gas density is different from the air, and sound transmission in smoke. Sound analysis is performed for several sound frequencies, heat release rates and concentrations of smoke. It is shown that sound through flame fluctuates, and the fluctuation range does not depend on the sound frequency, the heat release rate, or the combustion process. Sound through flame can be distinguished from sound through gas-flow or smoke. The sound property shown in this paper informs the existence of flame in the sound path.

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“…Şu ana kadar geliştirilmiş video tabanlı algılayıcılar, alev işaretli hareketli piksellerdeki devresel yüksek frekanslı davranışı algılayarak, bu gerçekten yararlanır [2], [11]. Aslında, alevin anlık titreme frekansı sabit değildir ve zamanla değişir.…”

Section: Introductionunclassified