국내 연안어선 설계 패러다임 전환을 위한 인공지능 활용 연구
Research on AI driven paradigm shift in fishing vessel design
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참고문헌
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초록
우리나라 연안어선의 경우 주로 어획량을 충족하고 트렌드에 맞춰 속도감 있게 변화하고 있습니다. 현재로서는 어획량이 감소했기 때문에 속도가 빠르고 적재량이 크고 선체 형태가 경쟁력 있는 선박을 선호하고 있습니다. 그러나 우리나라 연안어선 설계 시 대형 선박 등 다양한 분야에서 성능 검증 설계자 및 관련 상용 프로그램이 활용되지 않고 완화된 기준이 적용되어 어민들이 선호하는 선체의 성능을 확보하고 검증해야 하는 상황입니다. 본 연구에서는 수요를 충족하기 위해 모듈을 AI에 의해 어선 모형으로 한데 모아 어선 설계의 반환점이 될 수 있는 설계 시스템을 제안합니다.
Abstract
In the case of Korean coastal fishing vessels primarily, it satisfies the fishing capacity and shifts in pace with trends. At the moment, speedy vessels with large load capacity and competitive hull forms are preferred since catch has decreased. However, in the design of Korean coastal fishing vessels, performance verification designers and related commercial programs are not utilized in various fields such as large vessels. Moreover, alleviated standards are applied, making securing and verifying the performance of fishermen’s preferred hull a must. To meet such demands, this research suggests a design system that the modules can be brought together as a fishing vessel model by AI; this would be a turnaround of coastal fishing vessel designing.
참고문헌 (13)
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