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兵工学报 ›› 2024, Vol. 45 ›› Issue (10): 3317-3340.doi: 10.12382/bgxb.2024.0327

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海上有人/无人协同系统及其关键技术综述

王童豪, 彭星光*(), 胡浩, 徐德民   

  1. 西北工业大学 航海学院, 陕西 西安 710072
  • 收稿日期:2024-04-25 上线日期:2024-10-28
  • 通讯作者:
  • 基金资助:
    国家自然科学基金项目(62076203); 中央高校基本科研业务费专项项目(G2024KY0601)

Maritime Manned/unmanned Collaborative Systems and Key Technologies: A Survey

WANG Tonghao, PENG Xingguang*(), HU Hao, XU Demin   

  1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China
  • Received:2024-04-25 Online:2024-10-28

摘要:

海上有人/无人协同系统对进一步提升海军作战效能有重要作用,是现代海军装备发展的重要方向。立足未来海上作战,以海上有人/无人协同系统的实际应用为牵引,综述国外相关项目发展现状,厘清海上有人/无人协同系统的主要特点,凝练并分析其中科学问题与关键技术,总结海上有人/无人协同系统的发展方向、矛盾与挑战。未来,智能化、模块化和稀疏化将成为海上有人/无人协同系统的重要发展方向,但由于系统自主性与可控性间、智能化发展与海上约束间、海上有人/无人协同特点与现有协同任务体系间存在一定的发展矛盾,故系统还将面临系统规模、平台多样性、系统安全性及信息化与智能化等方面的发展挑战。

关键词: 海上有人/无人协同系统, 无人系统, 无人集群, 集群智能, 人机协同

Abstract:

Maritime manned/unmanned collaborative systems play a crucial role in enhancing naval operational effectiveness and represent a significant direction in the development of modern naval equipment. This paper focuses on the development of maritime manned/unmanned collaborative systems, reviews the current developing status and relevant foreign projects, clarifies the main characteristics of the systems, condenses and analyzes the scientific issues and key technologies involved, and ultimately provides a comprehensive survey on the development of maritime manned/unmanned collaborative systems. In the future, intelligence, modularity and sparsity will become the important directions for the development of maritime manned/unmanned collaborative systems. However, due to the contradictions between system autonomy and controllability, the development of intelligence and maritime constraints, and the features of manned/unmanned collaboration and existing collaborative frameworks, the system will also face challenges in scale, diversity, security, and intelligence-related aspects.

Key words: maritime manned/unmanned collaborative system, unmanned system, unmanned swarm, swarm intelligence, human-machine cooperation

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