• Title/Summary/Keyword: 해양 화재

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인공지능 기반 화물관리 시스템 개발

  • 차지혜;윤인근;임범현;박종진;이인;정두훈;김민정
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.245-247
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    • 2022
  • 컨테이너선에서 스위치보드와 리퍼컨테이너의화재 발생 전과 후를 CCTV 및 열화상카메라, 추가센서류로 상시 모니터링하여, 화재 전 이상감지와 화재 후 불꽃, 연기 등의 화재 종류를 선내 알림하여 즉시 조치할 수 있도록 효율적인 화물관리시스템을 설계하고, 정확도 높은 화재 감지를 목적으로 데이터 학습을 위한 영상 및 전류 데이터 수집과 실제 컨테이너 스위치보드 및 리퍼컨테이너 레이아웃을 모사한 Testbed를 구축하였습니다.

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Experimental Study on Flow Direction of Fire Smoke in DC Electric Fields (DC 전기장 내에서 발생하는 화재연기 진행 방향에 대한 실험적 연구)

  • Park, Juwon;Kim, Youngmin;Seong, Seung Hun;Park, Sanghwan;Kim, Ji Hwan;Chung, Yongho;Yoon, Sung Hwan
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.5
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    • pp.675-682
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    • 2021
  • Fire accidents on land and at sea can cause serious casualties; specifically, owing to the nature of marine plants and ships, the mortality rate at sea from suffocation in confined spaces is significantly higher than that on land. To prevent such cases of asphyxiation, it is essential to install ventilation fans that can outwardly direct these toxic gases from fires; however, considering the scale of marine fires, the installation of large ventilation fans is not easy owing to the nature of marine structures. Therefore, in this study, we developed a new concept for fire safety technology to control toxic gases generated by fires from applied direct current (DC) electric fields. In the event of a fire, most flames contain large numbers of positive and negative charges from chemi-ionization, which generates an "ionic wind" by Lorentz forces through the applied electric fields. Using these ionic winds, an experimental study was performed to artificially control the fire smoke caused by burning paper and styrofoam, which are commonly used as insulation materials in general buildings and ships. The experiments showed that a fire smoke could be artificially controlled by applying a DC voltage in excess of ±5 kV and that relatively effective control was possible by applying a negative voltage rather than a positive voltage.

Comparison Analysis on Status of Domestic & Overseas Vessel Fire Accident and Relevant Standards for the Fire Retardant Structure (국내외 화재발생현황 및 관련 방화구조 기준 비교 분석)

  • Um, Han-Chan
    • Journal of Korea Ship Safrty Technology Authority
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    • s.38
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    • pp.12-21
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    • 2015
  • 유리강화섬유(FRP,Fiber Reinforced Plastic)은 가볍고 내구성등이 우수하여 가공하기 쉬워 선박건조, 특히 어선의 건조재료로 많이 활용되고 있으나, FRP의 재료인 매트와 로빙이 인화성을 가진 수지와 접합되어 화재에는 매우 취약한 특성을 가지는 특성을 가진다. 최근 10년간의 중앙해양안전심판원의 어선화재 재결서 분석결과 전체의 약80%에 해당하는 화재사고가 기관실에서 발생하였다. 이에 새로 출범한 해양수산부는 FRP선박의 구조기준을 개정하여 총톤수10톤 이상 선박의 기관실에 대한 방화조치를 그 이하선박까지로 적용 확대하였으며, 어선구조기준 역시 행정규칙 행정예고를 통해 강화하려는 움직임을 보이고 있다. 본 지에서는 국내외 화재사고 발생현황 및 관련 규제 내용을 비교 분석하여 제시하였으며 분석결과, 일반선박의 방화조치에 대한 규제는 거의 유사하였으나 어선관련 규제의 경우, 영국의 규제가 가장 강화되어 있었으며 관련 화재사고 발생현황도 국내 및 일본과 비교해 보았을때 같은 기간 발생한 일반선의 화재발생척수 대비 어선의 화재발생척수가 적은것을 확인할 수 있었다.

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The fire resistance performance test methods and equipment overview on the marine plant (해양플랜트 기자재의 화재저항 성능에 관한 시험방법 및 설비의 개요)

  • Jeon, Jun-Pyo;Kim, Jung-Sik;Choi, Tai-Jin
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2012.04a
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    • pp.113-116
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    • 2012
  • 플랜트란 산업 기계, 전기 통신 기계등 여러 가지를 생산하는 공장을 의미하고 있다. 해양플랜트는 바다위에 설치된 시설이라고 볼 수 있으며 주로 원유 및 가스를 채취하여 시중에서 사용할 수 있도록 정유공정까지 거치는 대규모 설비라고 할 수 있다. 따라서 가연성 물질을 생산, 적재함으로 화재 및 폭발의 위험성이 상존하며 화재가 발생하면 인화성 물질로 인한 대규모 화재와 폭발로 인하여 인명과 재산피해의 규모 또한 가름하기가 어렵다. 본 논문에서는 해양플랜트 화재시 화재와 폭발 두 가지 위험성 중 제트화재에 저항을 가지는 기자재를 평가할 수 있는 ISO 22899-1 시험방법과 설비에 대하여 설명하고자 한다.

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A Study on Fire Detection in Ship Engine Rooms Using Convolutional Neural Network (합성곱 신경망을 이용한 선박 기관실에서의 화재 검출에 관한 연구)

  • Park, Kyung-Min;Bae, Cherl-O
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.4
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    • pp.476-481
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    • 2019
  • Early detection of fire is an important measure for minimizing the loss of life and property damage. However, fire and smoke need to be simultaneously detected. In this context, numerous studies have been conducted on image-based fire detection. Conventional fire detection methods are compute-intensive and comprise several algorithms for extracting the flame and smoke characteristics. Hence, deep learning algorithms and convolution neural networks can be alternatively employed for fire detection. In this study, recorded image data of fire in a ship engine room were analyzed. The flame and smoke characteristics were extracted from the outer box, and the YOLO (You Only Look Once) convolutional neural network algorithm was subsequently employed for learning and testing. Experimental results were evaluated with respect to three attributes, namely detection rate, error rate, and accuracy. The respective values of detection rate, error rate, and accuracy are found to be 0.994, 0.011, and 0.998 for the flame, 0.978, 0.021, and 0.978 for the smoke, and the calculation time is found to be 0.009 s.

Study on Analysis Method for Fire Safety Test of Hydrant Reducing Valve for Offshore Plant (해양 플랜트용 Hydrant Reducing Valve의 화재 안전시험에 대한 해석 기법 연구)

  • Jeong, Yun Sang;Kang, Jung Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.6
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    • pp.601-608
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    • 2014
  • An offshore plant is vulnerable to fire because of the isolated environment. In particular, the damage to an offshore plant is increased when a hydrant reducing valve, which is a main piece of equipment in an offshore plant, is damaged in a fire. In this study, we conducted a fire safety test for a hydrant reducing valve and proved the validity of our analysis by comparing the results of the test and analysis. Therefore, we here suggest an analysis method for a fire safety test. FSI(fluid structure interaction) was considered in the fire safety test. The reliability of the analysis method was verified by comparing the temperature distributions of the test and analysis. In addition, we verified the problems that were caused in the fire safety test by conducting a structure analysis. At a result, the main problem was found to be deformation of the valve seat.

A Study on Grid Size and Generation Method for Fire Simulations for Ship Accommodation Areas (선박 거주구역 화재시뮬레이션을 위한 격자크기와 생성방법에 관한 연구)

  • Kim, Byeol;Hwang, Kwang-Il
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.23 no.7
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    • pp.791-800
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    • 2017
  • For fires in ship accommodation areas, if it is possible to predict the pattern in which fire will spread and suggest proper countermeasures according to a situation using a fire simulation tool, fire damage may be reduced. However, fire simulations have a practical limit: a significant amount of time is required to analyze the results due to the size of the computational domain and the number of grids. Therefore, in this study, applicable grid size for fire simulations to predict fire patterns in ship accommodation areas was analyzed, and a generation method was conducted to predict fire behavior in real time. As a result, a value within 0.25[m] was judged appropriate as an applicable grid size for ship accommodation areas. Also, in comparison with studies using a single mesh generation method, the visibility value was similar, within 4.3 %, as was the temperature value, within 8.3 %, when a multi mesh generation method was used, showing a decline of 80 % in analysis time. Therefore, it was confirmed that composing a grid using multi mesh was effective for reducing analysis time.

선박화재 사고사례

  • Jeong, Gwang-Je
    • 방재와보험
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    • s.90
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    • pp.36-38
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    • 2001
  • 이 글은 국내.외 대형 선박화재 사고를 요약한 내용이다. 선박화재는 인명 및 재산 피해 뿐 아니라 기름 유출 등으로 인한 해양오염 등 환경에도 커다란 영향을 미치므로 관련 업무 종사자들의 경각심 고취와 더불어 선박화재 예방대책 수립에 도움이 되었으면 한다.

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