随着海洋强国战略的持续推进，提升海洋搜救能力已成为增强海上安全的重要支撑。针对当前我国海洋无人搜救体系在任务建模方面尚缺乏标准化、结构化方法的问题，研究以无人水下航行器（Unmanned Underwater Vehicle，UUV）集群为对象，采用基于模型的系统工程（Model-Based Systems Engineering，MBSE）方法，融合美国国防部体系架构框架（Department of Defense Architecture Framework，DoDAF）与Magic Grid方法论，构建适用于复杂海洋环境下的UUV集群搜救任务模型。通过典型搜救任务场景建模，结合DoDAF 2.0架构视图组织任务元素，利用系统建模语言（Systems Modeling Language，SysML）描述任务流程与能力关系；基于OODA（观察-定向-决策-行动）环理论，构建覆盖任务执行全过程的评估指标体系框架。研究成果可为UUV集群在复杂海洋环境中的协同搜救任务提供系统化的模型支撑。
With the continuous advancement of the maritime power strategy, enhancing the marine search and rescue capacity has become an important support for strengthening maritime safety. In response to the current problem that the unmanned marine search and rescue system in China still lacks standardized and structured methods in task modeling, this paper takes the Unmanned Underwater Vehicle (UUV) swarm as the research object. It adopts the Model-Based Systems Engineering (MBSE) method, integrates the Department of Defense Architecture Framework (DoDAF) of the United States and the MagicGrid methodology, and constructs a UUV swarm search and rescue task model suitable for complex marine environments. Through the modeling of typical search and rescue task scenarios, the task elements are organized in combination with the DoDAF 2.0 architecture view, and the Systems Modeling Language (SysML) modeling language is used to describe the relationship between the task process and capabilities. Based on the OODA (Observe - Orient - Decide - Act) loop theory, an evaluation index system framework covering the whole process of task execution is constructed. The research results provide systematic model support for the collaborative search and rescue tasks of UUV swarms in complex marine environments.
2026,48(6): 189-198 收稿日期：2025-9-3
DOI：10.3404/j.issn.1672-7649.2026.06.025
分类号：U676
基金项目：基础加强计划项目（2023-JCJQ-JJ-0417）；中国博士后科学基金资助项目（2024M752505）
作者简介：孙霖(1979-),男,硕士,高级工程师,研究方向为海洋无人装备编队控制
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