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运用时空大数据增强战场态势感知能力的思考
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中国兵器工业计算机应用技术研究所

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E9;TP311.13

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Some thoughts on enhancing battlefield situational awareness with spatio-temporal big data
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1.Institute of Computer Application Technology, Norinco Group,;2.Beijing institute of computer and electronics application

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    摘要:

    时空数据是同时具有时间、空间和专题属性的三维数据。近些年,时空大数据技术领域取得重大进展,时空大数据逐渐被应用于战场态势感知,辅助联合作战指挥决策,同时推动智能化战争快速发展。文章基于未来战场对一体化联合作战战场态势感知的新要求,从用于支撑战场态势感知的时空大数据平台构建、时空大数据来源拓展,和平台的优化利用等三个层次,探讨了打造军事作战资源“一张图”,以支撑一体化联合作战战场态势感知的可行性,对时空数据结构、数据平台和数据分析计算方法等方面进行了深入分析和重点布局。对于解决“参战力量在哪里,可配合的友邻力量有哪些,能使用的军事资源有什么”等问题,实现基于时空大数据技术的联合作战、全域作战能力提供技术及理论支撑。

    Abstract:

    Spatio-temporal data is three-dimensional data with time, space and thematic attributes at the same time. In recent years, significant progress has been made in the field of spatio-temporal big data technology. Spatio-temporal big data has gradually been applied to battlefield situational awareness, assisting joint operations command decision-making, and promoting the rapid development of intelligent warfare. Based on the new requirements of future battlefields for situational awareness of integrated joint operations, the article discusses the feasibility of creating “a map of military combat resources" from three levels, including the construction of a spatio-temporal big data platform to support battlefield situational awareness, the expansion of spatio-temporal big data sources, and the optimization of the platform, to support situational awareness of integrated joint operations. In-depth analysis and key layout of spatio-temporal data structure, data platform and data analysis, and calculation methods are carried out. The article also provides technical and theoretical support for solving the problems of "where are the participating forces, what are the friendly neighboring forces that can be coordinated, and what are the military resources that can be used", and realizing joint operations based on spatio-temporal big data technology and global combat capabilities.

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  • 收稿日期:2021-01-06
  • 最后修改日期:2021-01-06
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