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面向战场条件的无人机集群分布式存储方法 被引量:1

Distributed Storage Methods for Unmanned Aerial Vehicle Clusters in Battlefield
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摘要 无人机是世界军事强国执行战术行动的重要武器装备,利用无人机实现战场数据存储是保障作战的重要手段.为更好地满足无人机集群在恶劣战场条件下数据存储需求,在分析无人机数据存储军事应用背景基础上,总结战场无人机数据资源特征和数据存储技术军事需求,并提出适用于我军无人机战术行动的数据存储设计方法流程;结合学术和产业界的成果,梳理数据存储技术的分类和发展历程,并总结数据存储的主要类型;提出面向无人集群战术行动场景的分布式数据存储关键技术方法和存储系统;介绍国内外学者在分布式存储海量数据处理、数据实时传输和数据可靠性等相关算法模型的研究现状;展望未来战术行动中无人机数据运用方法的研究趋势,强调在战场条件下无人机集群数据存储是未来重要的研究领域. Unmanned aerial vehicles(UAVs)are important weapons and equipment for military powers in the world to carry out tactical operations.Applying UAVs in the battlefield to achieve data storage is an important way to ensure the operation.In order to better meet the data storage requirements of UAV clusters under harsh battlefield conditions,the military application background of UAV data storage was analyzed,and the data resources characteristics of UAVs in the battlefield and military requirements of data storage technologies were summarized.The design process of data storage method suitable for tactical operations of UAVs from Chinese armed forces was put forward.Then,on the basis of the achievements of data storage in the field of academia and industry,the classification and development process of data storage technologies were reviewed,and the main types of data storage were summarized.The key technologies and storage systems of distributed data storage for tactical operations of UAV clusters were presented.Moreover,the research status of the algorithm models of distributed mass data storage and processing,real-time data transmission,and data reliability in China and abroad was introduced.The research direction for the data application method of UAVs in tactical operations was proposed,and it was pointed out that data storage of UAV clusters in battlefields is an important research field in the future.
作者 秦潜聪 吴冠霖 高原 王双双 李朋 QIN Qiancong;WU Guanlin;GAO Yuan;WANG Shuangshuang;LI Peng(Institute of War Studies,Academy of Military Science,Beijing 100091,China;School of Graduate,Academy of Military Science,Beijing 100091,China)
出处 《西南交通大学学报》 EI CSCD 北大核心 2024年第4期942-958,共17页 Journal of Southwest Jiaotong University
基金 国家自然科学基金(62222121,62341110)。
关键词 无人机 无人机集群 战场条件 战术行动 数据存储 分布式存储 UAV UAV cluster battlefield condition tactical operations data storage distributed storage
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