• 설비공학논문집
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• 제26권11호
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• pp.535-540
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• 2014

This paper investigates the exhaust effectiveness of smoke, in the case of fire in a large atrium space. Numerical analysis was conducted to simulate transient fire growth in a test room, modeled by the Murcia atrium fire test. Various indices representing the exhaust performance of the exhaust system were obtained, such as the height of the smoke layer, and the instantaneous and accumulative capture efficiency of the smoke. The residual life time of smoke from the fire was also obtained, by injecting tracer gases at the fire location, depending on the airflow rate, and the location of the exhausts. The capture efficiency based on smoke concentration at the exhausts exhibits how much smoke can be removed by the exhaust system; whereas, the exhaust effectiveness based on residual life time indicates how rapidly the smoke can reach the exhaust locations, before being exhausted. The definitions and meanings of the indices to be used in representing the exhaust performance of a smoke exhaust system installed in a large space are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권11호
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• pp.3544-3564
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• 2022

With the development of the NB-IoT (Narrow band Internet of Things) and smart cities, coupled with the emergence of smart smoke sensors, new requirements and issues have been introduced to study on the deployment of sensors in large spaces. Previous research mainly focuses on the optimization of wireless sensors in some monitoring environments, including three-dimensional terrain or underwater space. There are relatively few studies on the optimization deployment problem of smart smoke sensors, and leaving large spaces with obstacles such as libraries out of consideration. This paper mainly studies the deployment issue of smart smoke sensors in large spaces by considering the fire probability of fire areas and the obstacles in a monitoring area. To cope with the problems of coverage blind areas and coverage redundancy when sensors are deployed randomly in large spaces, we proposed an optimized deployment strategy of smart smoke sensors based on the PSO (Particle Swarm Optimization) algorithm. The deployment problem is transformed into a multi-objective optimization problem with many constraints of fire probability and barriers, while minimizing the deployment cost and maximizing the coverage accuracy. In this regard, we describe the structure model in large space and a coverage model firstly, then a mathematical model containing two objective functions is established. Finally, a deployment strategy based on PSO algorithm is designed, and the performance of the deployment strategy is verified by a number of simulation experiments. The obtained experimental and numerical results demonstrates that our proposed strategy can obtain better performance than uniform deployment strategies in terms of all the objectives concerned, further demonstrates the effectiveness of our strategy. Additionally, the strategy we proposed also provides theoretical guidance and a practical basis for fire emergency management and other departments to better deploy smart smoke sensors in a large space.

• 설비공학논문집
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• 제23권10호
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• pp.687-698
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• 2011

In this study, it was analyzed by a numerical analysis that plan/design considerations for ensuring the spectator safety of large arena audiences in a fire emergency evacuation plan. The latest issue, the 'performance-based design', fire and evacuation plan is important. But nowadays 'Specification-based design' is in common. In evacuation simulation, congestion of exit and aisle is ignored because only evacuation time of large-space is mainly analyzed. In smoke flow,'smoke filling effect' tends to be overrated. From now on, when design a field house, it is needed not 'smoke filling effect' and 'large-space evacuation' analysis, but analyzing 'whole building evacuation time' for ensuring fire evacuation safety of spectator.

• 한국화재소방학회논문지
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• 제18권3호
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• pp.108-113
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• 2004

백화점, 할인매장과 같이 불특정 다수가 이용하는 대규모 판매시설은 화재시 방화관리 담당자의 비상대응능력 및 방화관리의 적절성이 내부 공간에 익숙하지 않은 고객의 피난행동에 결정적인 영향을 미치게 된다. 특히 대규모 판매시설의 경우 대부분의 피난계단 등 안전한 피난출구가 평상시 고객이 접근할 수 없는 백스페이스(Back space)에 위치하기 때문에 고객의 안전한 피난을 위해서는 방화관리자에 의한 신속한 피난개시 및 적절한 피난유도가 이루어져야 한다. 본 연구에서는 백화점과 할인매장 방화관리 담당자를 대상으로 한 설문조사를 통하여 방화관리측면에서 피난행동에 영향을 미치는 요인 및 화재 시 방화관리자의 대응행동 특성에 대하여 분석하였다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2013년도 춘계 학술논문 발표대회
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• pp.48-50
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• 2013

In this study, Car fire for test using ISO 9705 10MW Large Scale Calorimeter. Especially, study on the underground parking for the fire resistance performance. The underground parking lot of the fire resistance regulations in according to with the standard heating curve in Korea. Because of this burning car through experiments to the propose a new heating curve.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 1999년도 추계학술발표회 논문 초록집
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• pp.106-113
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• 1999

• 한국화재조사학회지
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• 제4권1호
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• pp.75-81
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• 2004

• 한국터널지하공간학회 논문집
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• 제9권4호
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• pp.343-349
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• 2007

터널 화재와 관련된 축소모형실험연구는 기본적인 데이터는 제공할 수 있지만, 축소모형과 실물화재간의 정확한 이론적 상사관계가 정립되어 있지 않기 때문에 실물화재에 대한 직접적인 분석을 하기에는 어려움이 따른다. 이에 산소소모율법을 적용하여 열방출율과 같은 물리량의 측정이 가능한 실물화재실험장치인 대형칼로리미터를 개발하였다. 이를 이용하여 차량의 화재시 열방출율을 측정하기 위한 실물실험을 실시하였으며, 그 결과 차량의 열방출율은 $2.3{\sim}3.4\;MW$로 측정되었다. 이는 PIARC에서 권고하는 차량의 열방출율과 유사한 범위로서 개발된 실물화재평가장치의 신뢰성을 확인할 수 있음은 물론이고 향후 관련 연구에 매우 유용하게 이용될 수 있을 것이다.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2003년도 추계학술논문발표회논문집
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• pp.28-33
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• 2003

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.381-404
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• 2022

Forest fires inflict great losses of human lives and serious damages to ecological systems. Hence, numerous fire detection methods have been proposed, one of which is fire detection based on sensors. However, these methods reveal several limitations when applied in large spaces like forests such as high cost, high level of false alarm, limited battery capacity, and other problems. In this research, we propose a novel forest fire detection method based on image processing and correlation coefficient. Firstly, two fire detection conditions are applied in RGB color space to distinguish between fire pixels and the background. Secondly, the image is converted from RGB to YCbCr color space with two fire detection conditions being applied in this color space. Finally, the correlation coefficient is used to distinguish between fires and objects with fire-like colors. Our proposed algorithm is tested and evaluated on eleven fire and non-fire videos collected from the internet and achieves up to 95.87% and 97.89% of F-score and accuracy respectively in performance evaluation.