November 03 (Friday)
생산 및 설계공학부문 포스터
Poster,
3층 로비,
09:50~10:40
  • Chair :
  •  김병철(한국기술교육대), 이봉기(전남대), 오유근(홍익대), 김현준(경북대), 이찬우(철도연)
Fr16B-37
09:50~10:40
선박 관련 빅 데이터 기술과 수집, 처리 및 분석 방법에 대한 연구
임주희, 전미연, 노유정(부산대학교)
Research on big data has been actively studied to utilize a wide range of data in various fields. In recent years, researches on collection, processing and analysis of big data for ship design, maintenance and repair have been conducted in shipbuilding and marine fields. In particular, collection, processing and analysis of big data is an important technology for diagnosing the condition of the ship and improving its performance and energy efficiency, but this research is in the early stage and has not been done systematically. Accordingly, in this study, major technologies and handling methods of big data in shipbuilding and marine fields were studied. The latest technology on ship-related big data was introduced for development of a smart ship, which is a next generation ship that can monitor, remotely diagnose and control various navigation information, and future research direction associated with big data was presented.
Keywords : shipping industry (선박 산업), maritime big data (해상 빅 데이터), data collection (데이터 수집), data processing (데이터 처리), data analysis (데이터 분석), smart ship (스마트 십)
Paper : Fr16B-37.pdf

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