• Title/Summary/Keyword: 화재위험

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A Study on Electric Fire Risk and Safety Measures in Traditional Markets through the Significant Fire Events (주요 사례를 통한 재래시장의 전기화재 위험성 및 안전대책에 관한 연구)

  • Choi, Seung-Bok;Lee, Chang-Woo;Choi, Don-Mook
    • Fire Science and Engineering
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    • v.24 no.5
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    • pp.122-127
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    • 2010
  • There are 1,550 small or large traditional markets in the whole country. They have many dangerous elements of fire, because of using various electrical products in poor and small space. Recently, government has supported the modernization of traditional market. But, only 50% of them has modernized. There has always been high level of fire risks because of the both modernized and nonmodernized facility are not fit for "Technical Standards on Electrical Facilities". Accordingly, we examined electrical facility setting and use about modernized and non modernized traditional markets which has ever been fired.

Construction of Event Tree & Fault Tree for Train Fire Risk Assessment (철도화재사고 위험도평가를 위한 Event Tree 및 Fault Tree 구성)

  • Kwak, Sang-Log;Wang, Jong-Bae;Lee, Bong-Seob;Park, Chan-Woo
    • Journal of the Korean Society for Railway
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    • v.11 no.6
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    • pp.530-535
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    • 2008
  • After train fire accident in Daegue, many research on train fire safety improvement have been carrying out. Since many alternative fire safety measures can be applied in our railway system, the effect of the each safety measure must be quantified prior to the safety investment. In order to estimate the effects of each safety measure quantitatively, fault trees and event trees are constructed in this study. Results can be applied for cost-benefit analysis or sensitivity analysis for safety measures in risk assessment process.

Risk Evaluation of Biodiesel (바이오디젤연료 위험성평가)

  • Kwon, Kyung-Ok
    • Fire Science and Engineering
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    • v.22 no.5
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    • pp.79-82
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    • 2008
  • Biodiesel is manufactured from vegetable oils, etc. in reaction with methanol so that the product of biodiesel may be dangerous due to the methanol remained of it. The risks of methanol remained in biodiesel were studied by measuring flash points and dynamic viscosity to some samples of biodiesel by adding methanol to a certain percentage of. The results of flash points of biodiesel are decreased in accordance with increasing of methanol in biodiesel and also decreasing the dynamic viscosity. It was shown that the risks of explosion of biodiesel are significantly high due to lower flash points resulted from methanol remained in biodiesel fuel as a reactant or adding to biodiesel for reduction of viscosity.

Risk Evaluation of Fire and Explosion Considering the Property of Self-Reactive Materials (자기반응성물질의 화재.폭발 위험성 평가)

  • Lee, Bong-Woo;Song, Haak;Moon, Deog-In;Lee, Chang-Woo
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2011.11a
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    • pp.364-368
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    • 2011
  • 최근 급속히 발전하고 있는 과학기술과 산업발달에 따라 화학물질, 위험물의 사용, 저장 및 운송물이 날로 증가하고 있다. 이러한 물질들은 우리의 일상생활과 인류문화 발전에 크게 기여하고 있지만 인화성, 폭발성 등의 잠재위험성을 가지고 있다. 세계 각국은 물질의 분류와 표시가 달라 국제무역에서 많은 사고가 증가하고 있는 실정이다. 이 연구의 목적은 자기반응성물질의 화재 폭발 위험성을 평가하고, 국제적인 시험방법과 국내 시험방법으로 시험하여 연관성 및 상관관계를 알아보고 선진화된 시험방법을 국내실정에 적합하게 제시하는데 있다.

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Predictive Analysis of Fire Risk Factors in Gyeonggi-do Using Machine Learning (머신러닝을 이용한 경기도 화재위험요인 예측분석)

  • Seo, Min Song;Castillo Osorio, Ever Enrique;Yoo, Hwan Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.351-361
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    • 2021
  • The seriousness of fire is rising because fire causes enormous damage to property and human life. Therefore, this study aims to predict various risk factors affecting fire by fire type. The predictive analysis of fire factors was carried out targeting Gyeonggi-do, which has the highest number of fires in the country. For the analysis, using machine learning methods SVM (Support Vector Machine), RF (Random Forest), GBRT (Gradient Boosted Regression Tree) the accuracy of each model was presented with a high fit model through MAE (Mean Absolute Error) and RMSE (Root Mean Squared Error), and based on this, predictive analysis of fire factors in Gyeonggi-do was conducted. In addition, using machine learning methods such as SVM (Support Vector Machine), RF (Random Forest), and GBRT (Gradient Boosted Regression Tree), the accuracy of each model was presented with a high-fit model through MAE and RMSE. Predictive analysis of occurrence factors was achieved. Based on this, as a result of comparative analysis of three machine learning methods, the RF method showed a MAE = 1.765 and RMSE = 1.876, as well as the MAE and RMSE verification and test data were very similar with a difference between MAE = 0.046 and RMSE = 0.04 showing the best predictive results. The results of this study are expected to be used as useful data for fire safety management allowing decision makers to identify the sequence of dangers related to the factors affecting the occurrence of fire.

Analysis of Safety Management Operations of Fire Risk Factors in Small-Scale Construction Sites (소규모 건설현장 화재 위험요인 안전관리 운영실태 분석)

  • Moon, Pil-Jae;Kong, Ha-Sung
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.775-785
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    • 2022
  • By analyzing the operation status of fire safety management of small construction site workers, deriving problems, and suggesting improvement measures, this study was conducted to present practical basic data for their efficient use in the future, and the following conclusions were drawn. First, it was analyzed that small construction site workers are elderly in the age group of construction workers, have short construction skills, most of the jobs are working in the construction industry, and the employment type is non-regular workers. Second, the fire safety management improvement plan of small construction site workers is systematized, fire safety manager is deployed to manage fire risk, fire escape routes and emergency warning facilities are provided to inform all workers at the construction site. In addition, measures to reduce industrial accidents are needed through realistic evacuation training, fire VR training, and interesting educational programs.

A Study on the Evaluation Model of Disaster Risks for Earthquake : Centering on the Cases of Cheongju City (지진에 대한 재해위험도 평가 모형에 관한 연구 - 청주시 사례 중심으로 -)

  • Jeong, Eui-Dam;Shin, Chang-Ho;Hwang, Hee-Yun
    • Journal of the Korean Society of Hazard Mitigation
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    • v.10 no.5
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    • pp.67-73
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    • 2010
  • Relatively high density of population and buildings exists in urban area mainly because of broad job opportunities and conveniences available. In other words, if happened, there might be high possibility of disaster which can not be easily recovered. The purpose of this study is to show evaluation approach of the risk degree resulted from the disaster, which considers the attributes of urban area. Cheongju-city in Chungcheongbuk-do is selected as sample district to be estimated. The degree of overall risk including fire risk, building collapse risk, evacuation risk and gas explosion risk etc. is analyzed in the designated area. The analysis suggests the highest risk degree in Bukmun-ro district which also shows CBD decline phenomenon. Therefore, it can be not only predicted that this area as old downtown has not been provided with disaster prevention operation and urban renewal project, but also judged that administrative assistances for the disaster are required possibly soon.

자연재해 위험관리(하)

  • Kim, Gwang-Seop
    • 방재와보험
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    • s.114
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    • pp.46-53
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    • 2006
  • 한국화재보험협회에서는 효율적인 재난 대책과 지구 노력에 부응하고자 "자연재해 위험관리"를 발간, 이를 2회에 걸쳐 소개하고자 하며. 지난 호에 게제된 자연재해 피해현황 및 태풍에 이어 이번 호에서는 호우 및 홍수, 급경사지, 해일에 관한 특성과 대책에 대하여 살펴본다.

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