关于AI大模型技术赋能船舶领域的认识

王兆杰; 于雷; 熊进辉; 李怀瑜; 韩云君; 沈震; 郭瑞; 张勇

doi:10.11959/j.issn.2096-6652.202408

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关于AI大模型技术赋能船舶领域的认识

专题：具身智能和人工智能体之后：基础设施模型与基础智能 | 更新时间：2024-06-05

- 关于AI大模型技术赋能船舶领域的认识
- Understanding of AI large model technology empowering the field of ships
- 智能科学与技术学报 2024年6卷第1期页码：33-40
- 作者机构：
  
  1.中国船舶集团未来发展研究中心，北京 100192
  2.中国舰船研究院，北京 100192
  3.中国科学院自动化研究所，北京 100190
  4.武汉数字工程研究所，湖北武汉 430205
  5.北方自动控制技术研究所，山西太原 030006
- 作者简介：
  
  [ "王兆杰（1985- ），男，博士，中国舰船研究院集团未来发展研究中心体系创新研究部副主任、研究员，主要研究方向为体系设计、系统工程应用。" ]
  [ "于雷（1974- ），男，中国舰船研究院研究员，主要研究方向为体系工程、信息电子。" ]
  [ "熊进辉（1980- ），男，博士，中国舰船研究院高级工程师，主要研究方向为科技发展战略研究。" ]
  [ "李怀瑜（1989- ），男，博士，中国舰船研究院数据工程技术部副主任、高级工程师，主要研究方向为船舶海洋数据工程应用。" ]
  [ "韩云君（1973- ），男，博士，中国科学院自动化研究所助理研究员，主要研究方向为复杂系统虚实融合决策。" ]
  [ "沈震（1982- ），男，博士，中国科学院自动化研究所研究员，主要研究方向为智能控制、复杂系统。" ]
  [ "郭瑞（1992- ），男，武汉数字工程研究所工程师，主要研究方向为船舶应用领域。" ]
  [ "张勇（1970- ），男，北方自动控制技术研究所研究员级高级工程师，主要研究方向为软件体系结构、智能信息处理。" ]
- 基金信息：
  
  国家重点研发计划(2021YFB3301504)
- DOI：10.11959/j.issn.2096-6652.202408
  中图分类号： TP301
- 收稿：2024-01-15，
  
  修回：2024-03-01，
  
  纸质出版：2024-03-15
- 稿件说明：
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王兆杰, 于雷, 熊进辉, 等. 关于AI大模型技术赋能船舶领域的认识[J]. 智能科学与技术学报, 2024,6(1):33-40.

WANG Zhaojie, YU Lei, XIONG Jinhui, et al. Understanding of AI large model technology empowering the field of ships[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(1): 33-40.
王兆杰, 于雷, 熊进辉, 等. 关于AI大模型技术赋能船舶领域的认识[J]. 智能科学与技术学报, 2024,6(1):33-40. DOI： 10.11959/j.issn.2096-6652.202408.

WANG Zhaojie, YU Lei, XIONG Jinhui, et al. Understanding of AI large model technology empowering the field of ships[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(1): 33-40. DOI： 10.11959/j.issn.2096-6652.202408.

摘要

概述了人工智能（artificial intelligence，AI）大模型研究的焦点、发展趋势及其技术本质，分析了国家层面的人工智能发展战略、国防领域的紧迫需求以及船舶领域应用的基础。从智能绿色船舶的发展、防务装备体系的革新、管控体系的建设以及知识密集产业的转型等方面，探讨了将人工智能大模型技术应用于船舶领域的广阔前景。人工智能大模型技术与“平行系统”“知识工厂”和“数字员工”等理念相结合，能够催生“AI设计”+“数字工厂”+“平行验证”等新型设计、研发和验证手段。此外，人工智能大模型技术可以从船体设计、船舶建造、航运管理、节能减排等方面为船舶行业注入智能和绿色元素，优化船舶各项功能，提高企业运营的效率，提升经济性和环保性。与新能源、新材料、先进制造和电子信息等战略新兴产业结合后，人工智能大模型技术能够基于新理念和新形态塑造未来海洋防务装备体系。同时，人工智能大模型技术能够赋能船舶管控体系的建设，优化规划计划、助力科技创新、提高管理效率和改善用装质效等。特别是随着船舶领域知识工厂的建立、数字人员工的培训、工业机器人的推广以及对深远海领域的拓展，人工智能大模型技术将能够推动船舶领域“自然人”“机器人”和“数字人”的有机结合和密切协同，加速船舶行业向知识密集型和智能密集型升级，使产业生态和价值创造模式向高端化、智能化和绿色化转变，实现更注重质量和效率的发展方式。

Abstract

This paper summarized the focus

the development trend and the technical nature of AI large model research

analyzed the development strategy of AI at the national level

the urgent needs in the field of national defense

and the basis of applications in the field of ships. Then

from the aspects of the development of intelligent green ships

the innovation of defense equipment systems

the construction of management and control system and the transformation of knowledge-intensive industries

the broad prospect of applying AI large model technologies to the field of ships was discussed. The paper pointed out that the combination of AI large model technologies and concepts such as parallel systems

knowledge factories and digital employees can catalyze new designs

research and development and verification methods such as "AI design" + "digital factory" + "parallel verification". In addition

AI large model technology can inject intelligent and green elements into the shipping industry from aspects such as the hull design

ship construction

shipping management

energy conservation and emission reduction

can optimize ship functions

and improve efficiency

economy and environmental protection. Combined with new materials

new energy power and new information electronics and other technologies

AI large model technologies can shape the future marine defense equipment system based on new concepts and new patterns. At the same time

AI large model technologies can enable the construction of ship management and control systems

optimize planning

help scientific and technological innovation

improve management efficiency and improve the quality and efficiency of the corporations. In particular

with the establishment of knowledge factories in the field of ships

the training of digital employees

the promotion of industrial robots and the expansion of far-reaching sea fields

artificial intelligence large model technologies will be able to promote the organic combination and close collaboration of "natural persons"

"robots" and "digital people" in the field of ships

and accelerate the upgrading of the ship industry to be knowledge intensive and intelligent intensive. This can transform the industrial ecology and value creation mode to be high-end

intelligent

and green

and realize a development mode that pays more attention to quality and efficiency for shipbuilding corporations.

关键词

Keywords

references

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