- 해양구조물에서의 파이프정비 지원을 위한 지식기반형 증강현실 시스템에 관한 연구
- ㆍ 저자명
- 김충현,이경호,이정민,김대석,한은정,Kim. Chung-Hyun,Lee. Kyung-Ho,Lee. Jung-Min,Kim. Dea-Seok,Han. Eun-Jung
- ㆍ 간행물명
- 韓國海洋工學會誌
- ㆍ 권/호정보
- 2010년|24권 1호|pp.178-184 (7 pages)
- ㆍ 발행정보
- 한국해양공학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
Today, there has been a decrease in international shipping because of the weakening in global economies. Therefore, shipowners are thinking more about Floating Production Storage and Offloading (FPSO), which can perform functions related to the transporting, storage, and tracking of crude oil from oil wells. Given the huge expense of these special ships, shipowners require workers who can solve problems quickly and secure sustainable production functions in this age of globalization. Furthermore, it is important to design, construct, and maintain facilities so that a ship remains in operation over a long term. This paper discusses a system that uses knowledge-based AR to help workers improve their understanding and deal with pipeline equipment problems safely. In addition, it displays a 3CAD model and status information for products to improve their recognition on the FPSO that they intend to inspect. At the same time, the system works quickly and offers solutions for dangerous circumstances or malfunctions. It thus helps to maintain the functionality of the FPSO throughout its life-cycle.