首页|面向无人机海上侦察任务的自适应粒度分解策略研究

面向无人机海上侦察任务的自适应粒度分解策略研究

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无人机海上侦察作战任务自动规划的前提是任务分解,分解策略的通用性和分解粒度的合理性直接影响任务规划的速度和实际效果。对无人机海上侦察任务具有随机性强、复杂度高、动态性明显等特点,提出了一种基于军事领域知识库的无人机海上侦察任务自适应粒度分解策略,构建了无人机海上侦察领域知识图谱和自适应粒度任务分解模型,并以海上编队护航背景下的无人机侦察任务为例,实施了任务分解策略验证,结果表明分解策略较传统任务分解方法具有更佳的稳定性和适应性。
Research on Adaptive Granularity Decomposition Strategy for UAV Maritime Reconnaissance Missions
The premise of automatic planning of UAV maritime reconnaissance missions is task de-composition,and the generality of decomposition strategy and the granularity rationality directly affect the speed and practical effects of mission planning.Aiming at the strong randomness,high complexity,obvi-ously dynamic and other features of UAV maritime reconnaissance missions,the adaptive granularity de-composition strategy of UAV maritime reconnaissance missions based on military domain knowledge base is proposed.The Knowledge Graph of UAV maritime reconnaissance domain and adaptive granularity mis-sion decomposition model are constructed.Taking the UAV in the reconnaissance mission in the context of maritime formation escort as an example to implement the task decomposition strategy verification.The results show that the decomposition strategy has better stability and adaptability than the traditional task decomposition methods.

maritime combatUAV reconnaissancetask decompositionknowledge graphadaptive granularity

陈行军、王梓蒙、王义涛、聂俊峰

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海军大连舰艇学院作战软件与仿真研究所,辽宁 大连 116018

海军大连舰艇学院研究生队,辽宁 大连 116018

海上作战 无人机侦察 任务分解 知识图谱 自适应粒度

国家自然科学基金资助项目

71701208

2024

火力与指挥控制
火力与指挥控制研究会,火力与指挥控制专业情报网

火力与指挥控制

CSTPCD北大核心
影响因子:0.312
ISSN:1002-0640
年,卷(期):2024.49(1)
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