• 한국화재소방학회논문지
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• 제20권4호
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• pp.105-109
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• 2006

소방서는 재난관리의 대응기관으로서 각종 현장에 출동하여 현장상황에 대한 많은 경험과 자료를 축적하여 화재예방 및 진압활동 등에 활용할 수 있음에도 불구하고 사고의 기록, 분석, 정보관리 등이 미흡한 실정이다. 이러한 사항을 보완하기 위하여 소방방재청에서는 화재조사팀을 주축으로 "국가 화재조사분류체계"를 혁신적으로 개선하였다. 본 연구에서는 소방서에서 수행하고 있는 기존의 화재조사 과정과 자료 취득 및 분석 과정을 살펴보고, 활용 방안을 제시함으로서 "국가 화재조사분류체계"의 운영에 필요한 기초 자료를 제공하고자 한다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.139-140
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• 2022

This study aims to present basic data for fire risk assessment. In the existing fire risk assessment, the operation of fire safety facilities is not considered. In addition, there is a lack of data on the fire growth rate to predict the spread of fire. Therefore, this study intends to build a fire scenario using fire statistics data. In addition, the fire growth rate is to be derived in consideration of the floor area of burnout and the cause of fire.

• Computers and Concrete
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• 제32권6호
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• pp.625-637
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• 2023

The application of ML approaches in determining the resisting capacity of fire damaged RC columns is introduced in this paper, on the basis of analysis data driven ML modeling. Considering the characteristics of the structural behavior of fire damaged RC columns, the representative five approaches of Kernel SVM, ANN, RF, XGB and LGBM are adopted and applied. Additional partial monotonic constraints are adopted in modelling, to ensure the monotone decrease of resisting capacity in RC column with fire exposure time. Furthermore, additional suggestions are also added to mitigate the heterogeneous composition of the training data. Since the use of ML approaches will significantly reduce the computation time in determining the resisting capacity of fire damaged RC columns, which requires many complex solution procedures from the heat transfer analysis to the rigorous nonlinear analyses and their repetition with time, the introduced ML approach can more effectively be used in large complex structures with many RC members. Because of the very small amount of experimental data, the training data are analytically determined from a heat transfer analysis and a subsequent nonlinear finite element (FE) analysis, and their accuracy was previously verified through a correlation study between the numerical results and experimental data. The results obtained from the application of ML approaches show that the resisting capacity of fire damaged RC columns can effectively be predicted by ML approaches.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2006년도 춘계학술발표회 논문집
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• pp.139-144
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• 2006

Forest fire is due to difficulty in approaching the forest fire at the time of forest fire and quite a long of time required for post-fire investigation, accurate analysis of damages to the forest area caused by forest fire is difficult to obtain. Recently, In attempt to overcome such difficulty, many researches are using satellite images. Nevertheless, it is not easy for everyone to obtain the satellite image data, and additional researches in order to verify accuracy of such data are also required. Therefore, in this study for satellite image to about damages to the forest areas caused by forest fire using tile selected two data of spectral reflectance of the vegetation, gained by using a spectrometer. That is we wished to search about mistake that is apt to happen by one time eyesight observation by analyzing two datas that is used spectral radiometer 3 months and 6 months later and gets.

• Steel and Composite Structures
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• 제12권4호
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• pp.325-350
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• 2012

Concrete filled steel hollow structural sections (CFSs) are an efficient, sustainable, and attractive option for both ambient temperature and fire resistance design of columns in multi-storey buildings and are becoming increasingly common in modern construction practice around the world. Whilst the design of these sections at ambient temperatures is reasonably well understood, and models to predict the strength and failure modes of these elements at ambient temperatures correlate well with observations from tests, this appears not to be true in the case of fire resistant design. This paper reviews available data from furnace tests on CFS columns and assesses the statistical confidence in available fire resistance design models/approaches used in North America and Europe. This is done using a meta-analysis comparing the available experimental data from large-scale standard fire tests performed around the world against fire resistance predictions from design codes. It is shown that available design approaches carry a very large uncertainty of prediction, suggesting that they fail to properly account for fundamental aspects of the underlying thermal response and/or structural mechanics during fire. Current North American fire resistance design approaches for CFS columns are shown to be considerably less conservative, on average, than those used in Europe.

• 한국항행학회논문지
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• 제27권5호
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• pp.685-689
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• 2023

The proposed system in the study aims to detect forest fires in real-time stream data received from the drone-camera. Recently, the number of wildfires has been increasing, and also the large scaled wildfires are frequent more and more. In order to prevent forest fire damage, many experiments using the drone camera and vision analysis are actively conducted, however there were many challenges, such as network speed, pre-processing, and model performance, to detect forest fires from real-time streaming data of the flying drone. Therefore, this study applied image data processing works to capture five good image frames for vision analysis from whole streaming data and then developed the object detection model based on YOLO_v2. As the result, the classification model performance of forest fire images reached upto 93% of accuracy, and the field test for the model verification detected the forest fire with about 70% accuracy.

• 한국화재소방학회논문지
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• 제18권3호
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• pp.74-94
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• 2004

한국ㆍ일본ㆍ미국의 화재발생 실태를 분석해본 바, 미국은 1977년 3,264,500건에서 2002년 1,687,500 건으로 화재 발생건수가 크게 감소하는 경향에 있고, 일본은 1973년 73,072건을 정점으로 20년이상 6만건 전후의 화재가 발생하고 있으나, 우리나라의 경우에는 1980년 5,438건이던 화재가 급격하게 증가하여 2001년 36,169건까지 발생하였다가 2003년 31,372건의 화재가 발생하였다. 또한 화재통계 처리요령과 화재통계 보고서에 대해서도 분석해본 바, 우리나라가 가장 뒤떨어져 있으며, 화재발생건수의 정확한 산정 등 화재통계의 신뢰성을 확보하기 위한 화재통계 분류의 구체화 및 체계화의 필요성을 확인하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.186-188
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• 2005

Because forest fire changes the direction according to the environmental elements, it is difficult to predict the direction of it. Currently, though some researchers have been studied to which predict the forest fire occurrence and the direction of it, using the remote detection technique, it is not enough and efficient. And recently because of the development of the sensor technique, a lot of In-Situ sensors are being developed. These kinds of In-Situ sensor data are used to collect the environmental elements such as temperature, humidity, and the velocity of the wind. Accordingly we need the prediction technique about the environmental elements analysis and the direction of the forest fire, using the In-Situ sensor data. In this paper, as a technique for predicting the direction of the forest fire, we propose the correlation analysis technique about In-Situ sensor data such as temperature, humidity, the velocity of the wind. The proposed technique is based on the clustering method and clusters the In-Situ sensor data. And then it analyzes the correlation of the multivariate correlations among clusters. These kinds of prediction information not only helps to predict the direction of the forest fire, but also finds the solution after predicting the environmental elements of the forest fire. Accordingly, this technique is expected to reduce the damage by the forest fire which occurs frequently these days.

• 한국가스학회지
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• 제24권5호
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• pp.47-55
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• 2020

위험물 사고는 해당 물질의 누출에 그치지 않고, 초기대응이 부적합한 경우, 화재, 폭발로 이어져 그 피해규모가 확대될 위험이 크다. 하지만 4차 산업혁명과 빅데이터 시대의 대두가 논의되고 있는 시점에서, 새로운 기법들에 바탕한 위험물 사고의 체계적인 분석은 시도되지 못하고, 단편적인 통계 수집에 그치고 있는 것이 아쉬운 실정이다. 본 연구에서는 지난 11년간(2008~2018) 축적된 소방청 위험물 화재사고 데이터를 대상으로 기계학습에 기반한 분석을 진행하였다. Text mining 분석을 통해 분석한 자료를 시각화하여 나타내었고, 아울러 위험물 화재사고 데이터에 존재하는 주요 인자를 이용해 피해규모 예측모델의 개발 가능성을 회귀분석 방법을 적용하여 탐색하였다.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 1997년도 International Symposium on Fire Science and Technology
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• pp.319-326
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• 1997

The fire accident cases of several countries such as Korea, Japan, United States, etc., were collected and compared statistically. The trends of fire accidents in several countries will help us establish detailed plans for fire protection and reduce the possible fire accidents in the future. For construction of data base system, the program FADS was developed, which is operable in Windows environment.