• 터널과지하공간
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• 제12권2호
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• pp.92-98
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• 2002

본 연구에서는 제트팬이 설치된 터널에서 화재발생시 연기의 거동을 해석하기 위하여 축소실험을 실시하였다. Froude 상사를 사용하여 1/20로 축소된 모형터널에서 실험을 실시하였으며 가연물질로는 휘발유를 사용하였다. 지름이 6.6∼ 12.5 cm의 화원을 사용하였으며 발열량은 7.714∼4.77 kW이다. 2.5 kW이하의 화재시 팬을 가동함으로 인하여 역기류가 팬 상류 약 40cm 이상 감소하였으며 팬 하류에서는 효과적으로 연기를 제어하였다. 팬 상류에서는 팬을 가동하지 않은 경우에 비해 연층은 하강하고 온도는 감소하였으나 터널 하부에서는 온도가 증가하였다.

• 한국전산유체공학회지
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• 제13권4호
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• pp.8-12
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• 2008

Heat/smoke detectors are installed in most subway platforms in Korea to detect fire. Subway platform is divided by smoke-control zones for efficient smoke-control. Once the detectors detect heat or smoke, the smoke-control ventilation system in the platform and concourse is activated according to the smoke-control ventilation mode. Smoke-control mode during fires in Korean subway platforms is that the smoke zones operate by exhausting smoke while other zones in the platform and in the concourse which is the upper floor of the platform operate by supplying air or stopping any ventilation. This study is conducted to evaluate performance of passengers' evacuation for various smoke control modes in the subway station. Distribution of smoke and heat due to fire on the platform is analyzed by using Fire Dynamics Simulator(FDS V 4.06) of NIST. Various smoke-control ventilation modes and locations of fire are considered. Evacuation and movement of passengers within the platform is simulated by building EXODUS V.4.0.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2008년도 춘계학술대회논문집
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• pp.276-279
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• 2008

Heat/smoke detectors are installed in most subway platforms in Korea to detect fire. Subway platform is divided by smoke-control zones for efficient smoke-control. Once the detectors detect heat or smoke, the smoke-control ventilation system in the platform and concourse is activated according to the smoke-control ventilation mode. Smoke-control mode during fires in Korean subway platforms is that the smoke zones operate by exhausting smoke while other zones in the platform and in the concourse which is the upper floor of the platform operate by supplying air or stopping any ventilation. This study is conducted to evaluate performance of passengers' evacuation for various smoke control modes in the subway station. Distribution of smoke and heat due to fire on the platform is analyzed by using Fire Dynamics Simulator(FDS V 4.06) of NIST. Various smoke-control ventilation modes and locations of fire are considered. Evacuation and movement of passengers within the platform is simulated by buildingEXODUS V 4.0.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.1342-1347
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• 2011

Advantages of the deeply underground subway are underground space efficiency, high speed, decrease of noise and vibration. However, when fire occurs in the deeply underground subway station, large casualties are occurred like Daegu subway station fire due to the increase of evacuation distance. In this study, a numerical analysis was performed by using the fire and evacuation analysis program FDS+EVAC for smoke movement and evacuation in Beotigogae station among the deeply underground subway station. Heat release rate of carriage fire was set 10MW and the fire growth rate was ultrafast. As a result, the smoke move to the exit at 1085 second. The total evacuation time took 956 second.

• 한국화재소방학회논문지
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• 제13권4호
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• pp.20-29
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• 1999

본 연구는 두 가지 유형의 아트리움 공간에 대해서 Zone모델과 Field모델을 비교하였으며 특히 천장에 열 유속을 갖는 아트리움 화재에 대해서 SMEP화재 모델을 적용하여 연기거동을 수치해석 하였다. Zone 모델로는 NIST에서 개발된 CFAST 그리고 CSIRO에서 개발된 NBTC 1-room 모델을 사용하여 SMEP Field모델을 검증하였다. PISO 알고리즘과 부력항을 포함한 수정 k-e epsilon 난류모델을 사용한 SMEP은 연속, 운동, 에너지 그리고 농도 방정식을 풀었으며, 상용 Zone 모델들과의 비교는 서로 유사한 결과를 보였다. 천장이 유리로 만들어진 아트리움의 경우, 태양열에 의한 천장 열 유속을 고려함으로써 좀더 실제적인 화재현상을 규명할 수 있다. 수치해석결과 천장 열 유속 조건은 연층의 온도 분포에는 영향을 미치지만 연기의 하강과 거동에는 커다란 영향을 미치지 않고 있음을 확인 할 수 있었다. 따라서 화재 감지기나 배연 설비 시스템의 설치시 이러한 점들이 고려되어야만 한다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.1319-1324
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• 2007

Many researches have been performed to analyze the smoke movement in tunnel fires by using field model. Recently, FDS(Fire Dynamics Simulator) v.4, which is one of the field model and developed from NIST(National Institute of Standards and Technology), is widely used. In tunnel fires, FDS can show detail results in local point, but it has difficulties in boundary condition and taking long computing time as the number of grid increases. So, there is a need to use alternative method for tunnel fire simulation. A zone model is different kind of CFD method and solves ordinary differential equation based on conservation and auxiliary equations. It shows good macroscopic view in less computing time compared to field model. In this study, therefore, to confirm the applicability of CFAST in tunnel fire analysis, numerical simulations using CFAST are conducted to analyze smoke movement in longitudinal ventilation reduced-scale tunnel fires. Then the results are compared with experimental results. The differences of temperature and critical velocity between numerical results and experimental data are over $30^{\circ}C$ and 0.9m/s, respectively. These values are out of error range. It shows that CFAST 6.0 is hard to be used for tunnel fire simulation.

• 전기전자학회논문지
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• 제24권4호
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• pp.1148-1155
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• 2020

Fire must be extinguished as quickly as possible because they cause a lot of economic loss and take away precious human lives. Especially, the detection of smoke, which tends to be found first in fire, is of great importance. Smoke detection based on image has many difficulties in algorithm research due to the irregular shape of smoke. In this study, we introduce a new real-time smoke detection algorithm that reduces the detection of false positives generated by irregular smoke shape based on faster r-cnn of factory-installed surveillance cameras. First, we compute the global frame similarity and mean squared error (MSE) to detect the movement of smoke from the input surveillance camera. Second, we use deep learning algorithm (Faster r-cnn) to extract deferred candidate regions. Third, the extracted candidate areas for acting are finally determined using space and temporal features as smoke area. In this study, we proposed a new algorithm using the space and temporal features of global and local frames, which are well-proposed object information, to reduce false positives based on deep learning techniques. The experimental results confirmed that the proposed algorithm has excellent performance by reducing false positives of about 99.0% while maintaining smoke detection performance.

• 한국전자통신학회논문지
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• 제9권2호
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• pp.149-154
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• 2014

실외에서 영상기반의 화재감지는 시간, 날씨 변화에 따른 조도와 그림자 등에 의하여 성능에 영향을 받는다. 본 논문에서는 주간에 화재감지를 위하여 외부조명 변화에 강건한 배경추정 알고리즘과 결합된 연기검출 방법을 제안한다. 혼합 가우스 모델(mixture Gaussian model)을 배경추정에 적용하고 분리된 후보영역에 대하여 연기의 통계적 특성을 적용하여 연기를 검출한다. 주간 야외에서 획득한 영상에 대하여 제안하는 방법이 실외 연기검출에 유용한 것을 확인한다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.1740-1746
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• 2008

The present study performed numerical investigation to analyze the smoke behavior in the rescue station by using the commercial CFD code (FLUENT Ver 6.3). The present study adopted a 10MW ultrafast mode for simulation, and it also used the MVHS(Modify Volumetric Heat Source) model modified from the original VHS(Volumetric Heat Source) model in order to treat the product generation and the oxygen consumption under the stoichiometric state. In addition, the present simulation includes the species conservation equation for the materialization of heat source and the estimation of smoke movement. From the results, the smoke flows are moving along the ceiling because of thermal buoyancy force and as time goes, the smoke gradually moves downward at the vicinity of the entrance. Moreover, without using ventilation, it is found that the smoke flows no longer spread across the cross-passages because the pressure in the non-accident tunnel is higher than that in the accident tunnel.

• 한국화재소방학회논문지
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• 제11권4호
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• pp.3-14
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• 1997

The smoke filling process for the atrium space containing a fire source is simulated using two types of deterministic fire model : Zone model and Field model. The zone model used is the CFAST(version 1.6) model developed at the Building and Fire Research Laboratories, NIST in the USA. The field model is a self-developed frie field model based on Computational Fluid Dynamic (CFD) theories. This article is focused on finding out the smoke movement and temperature distribution in atrium space which is cubic in shape. For solving the liked set of velocity and pressure equation, the PISO algorithm, which strengthened the velocity-pressure coupling, was used. Since PISO algorithm is a time-marching procedure, computing time si very fast. A computational procedure for predicting velocity and temperature distribution in fire-induced flow is based on the solution, in finite volume method and non-staggered grid system, of 3-dimensional equations for the conservation of mass, momentum, energy, species and so forth. The fire model i.e Zone model and Field model predicted similar results for clear heights and the smoke layer temperature.