• 대기
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• 제22권1호
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• pp.47-55
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• 2012

The characteristics of flow and pollutant dispersion for fire scenarios in an urban area are numerically investigated. A computational fluid dynamics (CFD) model coupled to a mesoscale weather research and forecasting (WRF) model is used in this study. In order to more accurately represent the effect of topography and buildings, the geographic information system (GIS) data is used as an input data of the CFD model. Considering prevailing wind, firing time, and firing points, four fire scenarios are setup in April 2008 when fire events occurred most frequently in recent five years. It is shown that the building configuration mainly determines wind speed and direction in the urban area. The pollutant dispersion patterns are different for each fire scenario, because of the influence of the detailed flow. The pollutant concentration is high in the horse-shoe vortex and recirculation zones (caused by buildings) close to the fire point. It thus means that the potential damage areas are different for each fire scenario due to the different flow and dispersion patterns. These results suggest that the accurate understanding of the urban flow is important to assess the effect of the pollutant dispersion caused by fire in an urban area. The present study also demonstrates that CFD model can be useful for the assessment of urban environment.

• 한국화재소방학회논문지
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• 제30권4호
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• pp.27-38
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• 2016

본 논문은 현재 국외기술에 의존하고 있는 광센서 선형감지기를 이용한 화재감지시스템인 분산온도감지(DTS) 시스템을 국산화 기술로 개발하기 위한 연구이다. 이에 본 연구에서는 광섬유 내에서 발생되는 빛의 역산란광 중 온도감지에 주로 사용되는 라만산란광의 전기적 신호파형을 오실로스코프를 이용하여 분석하였다. 측정결과 Stokes 신호파형은 온도가 상승해도 변화량이 거의 없었으나, 온도에 민감한 anti-Stokes 신호파형은 상대적으로 그 값이 증가하는 것을 확인할 수 있었다. 그리고 라만산란광을 이용하여 화재를 감지할 수 있는 광중계기 및 광수신기로 구성된 광센서 선형 화재감지시스템인 K-DTS 시스템을 개발하였다. 개발된 K-DTS 시스템에 대하여 차동식 및 정온식 감도시험기를 이용하여 차동식 및 정온식 감지기로서의 감도시험을 진행해 본 결과 형식승인 기준을 만족하고 있는 것을 확인할 수 있었다. 또한, 개발된 K-DTS 시스템의 성능평가를 위해 국외에서 수입되어 가장 많이 사용되고 있는 S-DTS 시스템과 성능비교실험을 진행하였다. 모형터널을 이용한 성능실험결과 화재감지위치 및 화재온도 측정에서 유사한 성능을 나타내는 것을 확인할 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권11호
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• pp.5522-5536
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• 2017

In this paper, a video based smoke detection method using dynamic texture feature extraction with volume local binary patterns is studied. Block based method was used to distinguish smoke frames in high definition videos obtained by experiments firstly. Then we propose a method that directly extracts dynamic texture features based on irregular motion regions to reduce adverse impacts of block size and motion area ratio threshold. Several general volume local binary patterns were used to extract dynamic texture, including LBPTOP, VLBP, CLBPTOP and CVLBP, to study the effect of the number of sample points, frame interval and modes of the operator on smoke detection. Support vector machine was used as the classifier for dynamic texture features. The results show that dynamic texture is a reliable clue for video based smoke detection. It is generally conducive to reducing the false alarm rate by increasing the dimension of the feature vector. However, it does not always contribute to the improvement of the detection rate. Additionally, it is found that the feature computing time is not directly related to the vector dimension in our experiments, which is important for the realization of real-time detection.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2008년도 추계학술논문발표회 논문집
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• pp.363-370
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• 2008

The present study has been performed to investigate the effect of statistical number of droplets on the simulation of the sprinkler spray using fire field model. In order to simulate the sprinkler spray characteristics, the present study uses NIST Fire Dynamics Simulator version 5.2. A group of Lagrangian particle with similar droplet characteristics, such as diameter, velocity, temperature and so on, is represented by parcel concept to decrease the total number of droplets tracked in the simulation. The present study introduces a new parameter to represent the ratio between real number of droplets and computational parcels. The dependency of the number of parcels on the fire suppression characteristics and spray patterns is quantitatively examined for different ratio between the real number of droplets and computational parcels.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2009년도 춘계학술대회
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• pp.1-6
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• 2009

국보 1호인 숭례문 화재는 화재조사자뿐만 아니라 국민들에게 크나큰 아픔을 안겨 주었다. 이 연구의 목적은 현장조사를 통하여 목조 문화재 화재 시 생성되는 연소패턴과 목재 마루바닥에 인화성물질을 살포 후 착화하였을 때 나타나는 촉진제에 의한 연소 흔적 등을 확인하는데 있다. 또한 이 연구결과는 유사한 화재 발생 시 화재조사요원에게 정확한 화재 원인을 감식할 수 있는 자료가 될 것이다.

• 대한안전경영과학회지
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• 제22권2호
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• pp.47-55
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• 2020

This study analyzed ignition probability about Lithium-polymer batteries of what variously were being produced wearable devices recently. The study analyzed ignition probability by PCM(Protection Circuit Module) operating state and overcharged, over-discharged, exposed to high temperatures of Lithium polymer batteries, analyzing wearable devices on the market. Then it classified experimental results to implement analysis comparison about weight, X-ray imaging, battery decomposition. With these experiments, the study analyzed combustion-possibility and fire patterns. These statistics will be used to measure and verify the cause of a fire when identify wearable devices using Lithium-polymer batteries.

• 한국화재소방학회논문지
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• 제27권2호
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• pp.46-53
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• 2013

건축의 환경이 변하면 그에 따른 설계기준도 변하여야 한다. 방화문의 시험기준이 2005년 7월 27일 차연성 시험이 적용되면서 문틈이 기밀한 구조로 바뀌었다. 그러나 국가화재안전기준은 영국의 자료를 인용한 과거의 문틈규정을 적용함으로서 현실과 설계 규정의 차이가 오차나 안전율 이상으로 과도하다. 설계와 현실의 차이로 인하여 발생하는 결과 및 현상을 분석하고 개정되어야 할 국가화재안전기준의 누설틈새면적 계산법을 제시하고 연돌효과로 인한 방연풍속의 차이를 분석하였으며 생활패턴 및 피난패턴을 반영한 공동주택의 방연풍속 측정법에 대해 고찰하고 합리적인 측정법을 제시하였다.

• 한국안전학회지
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• 제37권2호
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• pp.69-75
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• 2022

Fire-alarm systems are safety equipment that facilitate rapid evacuation and early suppression in case of fire. It is highly desirable that fire-alarm systems have low false-alarm rates and are thus reliable. Until now, researchers have attempted to improve detector performance by applying new technologies such as IoT. To this end, IoT-based fire-detection systems have been developed. However, due to scarcity of large-scale operational data, researchers have barely studied malfunctioning in fire-alarm systems or attempted to reduce false-alarm rates in these systems. In this study, we analyzed false-alarm rates of smoke/temperature detectors and unwanted fire-alarm signal patterns at K institution, where Korea's largest IoT-based fire-detection system operates. After analyzing the fire alarm occurrences at the institution for five years, we inferred that the IoT-based fire-detection system showed lower false-alarm rates compared to the automatic fire-detection equipment. We analyzed the detection pattern by dividing it into two parts: normal operation and unwanted fire alarms. When a specific signal pattern was filtered out, the false-alarm rate was reduced to 66.9% in the smoke detector and to 46.9% in the temperature detector.

• 한국화재소방학회논문지
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• 제26권2호
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• pp.11-16
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• 2012

본 연구에서는 정확한 화재원인 분석 및 사기범죄 여부 확인을 위하여 극초단파를 직접 폴더형 휴대전화에 조사하고, 이때 발생되는 휴대전화의 손상형태를 분석하였다. 극초단파 조사를 위하여 전자레인지를 이용하였으며, 전자레인지의 마그네트론에서 발생되는 2.45 GHz의 극초단파가 휴대전화에 인가될 때 휴대전화의 손상형태를 분석하였다. 실험 결과, 휴대전화에 극초단파를 조사하는 경우, 조사 시간이 길어짐에 따라 심하게 손상되는 경향을 나타내었으며, 특히, 폴더의 힌지 부분 및 인테나 부분과 같이 금속이 설치되는 부분이 심하게 열변형되는 결과를 나타내었다. 휴대전화의 배터리 부분은 외함이 열변형되는 것 이외에 배터리의 손상이나 폭발 등은 발생되지 않는 것으로 평가되었다.

• 한국농림기상학회지
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• 제6권4호
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• pp.242-249
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• 2004

This study was conducted to develop a forest fire occurrence model using meteorological characteristics for the practical purpose of forecasting forest fire danger. Forest fire in South Korea is highly influenced by humidity, wind speed, and temperature. To effectively forecast forest fire occurrence, we need to develop a forest fire danger rating model using weather factors associated with forest fire. Forest fore occurrence patterns were investigated statistically to develop a forest fire danger rating index using time series weather data sets collected from 8 meteorological observation centers. The data sets were for 5 years from 1997 through 2001. Development of the forest fire occurrence probability model used a logistic regression function with forest fire occurrence data and meteorological variables. An eight-province probability model by was developed. The meteorological variables that emerged as affective to forest fire occurrence are effective humidity, wind speed, and temperature. A forest fire occurrence danger rating index of through 10 was developed as a function of daily weather index (DWI).