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신속한 의사결정을 위한 HNS 사고이력관리시스템 설계 및 구현

Design and Implementation of an HNS Accident Tracking System for Rapid Decision Making

  • 장하용 (한국항만연수원 부산연수원) ;
  • 하민재 (전남대학교 해양경찰학과) ;
  • 장하식 (한국해양대학교 해양플랜트학과) ;
  • 윤종휘 (한국해양대학교 해양경찰학과) ;
  • 이은방 (한국해양대학교 해양경찰학과) ;
  • 이문진 (선박해양플랜트연구소)
  • Jang, Ha-Lyong (Korea Port Training Institute) ;
  • Ha, Min-Jae (Dept. of Coast Guard Studies, Chonnam National University) ;
  • Jang, Ha-Seek (Dept. of Offshore Plant Studies, Korea Maritime & Ocean University) ;
  • Yun, Jong-Hwui (Dept. of Coast Guard Studies, Korea Maritime & Ocean University) ;
  • Lee, Eun-Bang (Dept. of Coast Guard Studies, Korea Maritime & Ocean University) ;
  • Lee, Moon-jin (Korea Research Institute of Ships & Ocean Engineering)
  • 투고 : 2017.01.13
  • 심사 : 2017.04.27
  • 발행 : 2017.04.30

초록

HNS사고는 대규모 화재와 폭발을 수반하며, 다수의 인명사고와 주변지역에 극심한 환경오염을 야기함으로 신속한 의사결정을 통하여 광범위한 확산을 막아야 한다. 본 연구는 국내 HNS사고사례를 해상이라는 특수성이 반영된 표준코드를 바탕으로 고품질, 표준화, 디지털화된 HNS사고 데이터베이스를 구축하여 사고발생 시 신속하고 합리적인 의사결정을 지원하고, 체계적인 통합관리 및 공유가 가능한 HNS사고이력관리시스템(HATS)을 설계하고 구현하였다. 또한 개발된 시스템을 활용하여 23년간 수집된 국내 HNS사고데이터 76건에 대해 각 항목별로 통계분석을 수행하여, 국내에서는 매년 평균 3.3건의 사고가 일어나며, 주요 HNS사고요인은 춘계기간 (41%), 계류장 (51 %), 케미컬운반선 (49 %), 승무원에 의한 과실 (45 %), 자일렌류 (12 %)인 것으로 확인되었다. (괄호안 : 사고분류기준별 해당 사고요인의 퍼센트 비율임)

HNS accidents involve large-scale fires and explosions, causing numerous human casualties and extreme environmental pollution in the surrounding area. The widespread diffusion of effects should be prevented through rapid decision making. In this study, a high-quality, standardized, and digitized HNS accident databases has been generated based on the HNS standard code proposed. Furthermore, the HNS Accident Tracking System (HATS) was applied and implemented to allow for systematic integration management and sharing. In addition, statistical analysis was performed on 76 cases of domestic HNS accident data collected over 23 years using HATS. In Korea, an average of 3.3 HNS accidents occurred each year and major HNS accident factors were Springs (41 %), Aprons (51 %), Chemical Carriers (49 %), Crew's Fault (45 %) and Xylenes (12 %). (The number in parentheses is the percentage of HNS accident factors for each HNS accident classification)

키워드

참고문헌

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피인용 문헌

  1. A Study on the Visualization of HNS Hazard Levels to Prevent Accidents at Sea in Real-Time vol.23, pp.3, 2017, https://doi.org/10.7837/kosomes.2017.23.3.242