船舶 ›› 2024, Vol. 35 ›› Issue (03): 118-128.DOI: 10.19423/j.cnki.31-1561/u.2024.03.013

• 船舶管理 • 上一篇    

基于“任务+能力”的船舶智能系统等级评估方法的思考

李明原, 赵丽莉, 余秀, 查伊倩, 徐亮*   

  1. 中国舰船研究设计中心 上海分部 上海 201108
  • 收稿日期:2023-05-05 修回日期:2023-06-23 出版日期:2024-06-25 发布日期:2024-06-24
  • 通讯作者: 徐 亮(1988-),男,博士,工程师。研究方向:智能无人装备技术。
  • 作者简介:李明原(1996-),男,硕士,工程师。研究方向:智能无人装备技术。赵丽莉(1986-),女,硕士,工程师。研究方向:智能无人装备技术。余 秀(1994-),女,硕士,工程师。研究方向:智能无人装备技术。查伊倩(1997-),女,硕士,工程师。研究方向:智能无人装备技术。
  • 基金资助:
    中国船舶集团有限公司自立科技研发专项(202104Z)

The Idea of Ship Intelligence System Level Assessment Method Based on "Mission Plus Capability"

LI Mingyuan, ZHAO Lili, YU Xiu, ZHA Yiqian, XU Liang*   

  1. Shanghai Division, China Ship Development and Design Center, Shanghai 201108, China
  • Received:2023-05-05 Revised:2023-06-23 Online:2024-06-25 Published:2024-06-24

摘要: 计算机性能的提升和人工智能技术的发展促进了航运业向智能化转型,越来越多的船舶配备了智能系统。船舶智能系统能够代替船员执行各种重复性、作业环境恶劣的工作,在提高工作效率和安全性方面发挥十分重要的作用。随着船舶智能系统的发展,不同系统间的智能等级差异愈发明显,需根据智能化的评估等级合理分配任务,以便智能系统能够自主完成,因此能否准确评估智能系统的能力十分重要。该文首先概述了船舶智能系统评估分级的研究现状及意义,其次介绍并分析了现有的智能系统分级方法,然后提出了一种基于“任务+能力”的船舶智能系统等级评估的蛛网模型,最后使用该模型对某型智能科考船的智能系统进行了等级评估。

关键词: 智能船舶, 智能系统, 等级评估, 蛛网模型

Abstract: The advancement of computer performance and the development of artificial intelligence technology have promoted the transformation of the shipping industry towards intelligence, and more and more ships are equipped with intelligent systems. Ship intelligent systems can replace crew members to perform various repetitive and harsh work, and play a very important role in improving work efficiency and safety. With the development of ship intelligent systems, there are significant differences in the intelligence levels of different systems. It is necessary to assign reasonable tasks based on the evaluation level of intelligence so that intelligent systems can autonomously complete them. Therefore, accurately evaluating the ability of intelligent systems is very important. This article first outlines the current research status and significance of ship intelligent system level assessment, and then introduces and analyzes existing intelligent system level assessment methods. Next, a cobweb model based on “task + ability” for evaluating the intelligence level of ship intelligent systems is proposed, and finally, this cobweb model is employed to assess the level of intelligence of the intelligent system installed on a specific scientific research vessel.

Key words: intelligent ship, intelligent system, level assessment, cobweb evaluation model

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