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知识工程技术在船体设计中的研究进展与展望

谢伟 刘祖源 冯佰威 闫贺磊 曾大连

中国舰船研究2024,Vol.19Issue(6):3-16,14.
中国舰船研究2024,Vol.19Issue(6):3-16,14.DOI:10.19693/j.issn.1673-3185.04046

知识工程技术在船体设计中的研究进展与展望

Research progress and prospects of knowledge engineering technology in ship hull form design

谢伟 1刘祖源 2冯佰威 2闫贺磊 3曾大连4

作者信息

  • 1. 中国舰船研究设计中心,湖北 武汉 430064
  • 2. 高性能船舶技术教育部重点实验室,湖北 武汉 430063||武汉理工大学 船海与能源动力工程学院,湖北 武汉 430063
  • 3. 武汉理工大学 船海与能源动力工程学院,湖北 武汉 430063
  • 4. 广西中船北部湾船舶及海洋工程设计有限公司,广西 南宁 530028
  • 折叠

摘要

Abstract

With the vigorous development of artificial intelligence,knowledge-based engineering(KBE),as an engineering technology discipline that studies the intelligent processing of knowledge,has gradually become a research hotspot,and KBE-based ship design method have also received increasing attention.This article sys-tematically summarizes and analyzes the application and development of KBE in the field of ship design in three aspects:overall conceptual ship design,hull structure design,and ship layout design.It also introduces two typical cases of the KBE application in ship hull form design and shipyard-institute collaborative design.Meanwhile,it summarizes and refines the main problems and constraints in the KBE application,and looks forward to the promotion of KBE development by large language model(LLM)technology.Through KBE technology,ship design can be intelligentized,relevant specifications and requirements can be quickly in-voked,and the existing ship design knowledge that has been fully proven through practice can be stored and derived,thereby improving design efficiency and shortening the design cycle.However,the full application of KBE techniques still faces numerous challenges and requires further exploration and improvement.

关键词

知识工程/人工智能/船舶设计/大型语言模型/船体设计/船型优化

Key words

knowledge-based engineering/artificial intelligence/naval architecture/large language mod-el/ship hull design/hull form optimization

分类

交通工程

引用本文复制引用

谢伟,刘祖源,冯佰威,闫贺磊,曾大连..知识工程技术在船体设计中的研究进展与展望[J].中国舰船研究,2024,19(6):3-16,14.

基金项目

国家自然科学基金资助项目(51979211,52271327,52271330,52471339,52401390) (51979211,52271327,52271330,52471339,52401390)

装备预研教育部联合基金(青年人才)资助项目(8091B032201) (青年人才)

高等学校学科创新引智计划资助项目(BP0820028) (BP0820028)

广西重大科技专项资助项目(AA23023013,AA23062037) (AA23023013,AA23062037)

中央高校基本科研业务费专项资金资助项目(104972024RSCbs0010) (104972024RSCbs0010)

国家资助博士后研究人员计划C档资助项目(GZC20232018) (GZC20232018)

中国舰船研究

OA北大核心CSTPCD

1673-3185

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