面向联合态势感知的大数据应用模式研究  

Research on Application Mode of Big Data for Situation Awareness Oriented Joint Operation

作　　者：王寿彪 李新明 刘东 李亢 朱鸿乔 

机构地区：[1]装备学院复杂电子系统仿真重点实验室,北京101416

出　　处：《中国电子科学研究院学报》2014年第4期408-414,共7页Journal of China Academy of Electronics and Information Technology

基　　金：国家自然科学基金(60904082)

摘　　要：联合作战、网络中心战的提出,推动了态势感知的产生和不断发展,作为实现态势感知的重要平台和物质基础,态势图对数据和信息复杂的需求和特性构成了突出的大数据问题。从大数据的高度思考,解决态势感知面临的信息处理难题,是研究联合作战态势感知的重要方法。通过分析联合作战态势感知的数据类型、结构和特点,得出态势感知面临着大数据挑战的结论。初步探讨了可能需要解决的问题和前沿信息技术的应用需求,最后对关键数据和信息处理技术进行了研究。该研究对于"大数据"在军事信息处理和数据化决策等领域的研究具有重要探索价值。The proposal of Joint Operation and Network-Centric Warfare promotes the emergence and development of situation awareness. As an important platform or substance foundation, the peculiarity of situation pictures and its complex requirements toward data and information form a big data issue. From the perspective of big data, solving the puzzles of information processing in face of the situation awareness has been important means for studying the situation awareness of Joint Operation. The data type, structure, and characteristics, which conclude that the situation awareness of Joint Operation is faced with big data challenge are analyzed. Potential problems and application demands for frontier information techniques are discussed. Last- ly, key processing technologies for data and information are studied. This research has important quest value on big data researching in domain of military information process and data based decision-making.

关 键 词：大数据 态势感知 联合作战 态势图 信息处理 数据化决策 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] E917[自动化与计算机技术—计算机科学与技术]