运用大数据增强战场态势感知能力

Improving the battlefield situation sensing ability using big data

介绍了运用大数据思维和理论增强战场态势感知能力的基本方法,提出了按照确定战场态势大数据的表征维度、明确战场态势大数据的显存粒度、区分战场态势大数据的更新频率、建立战场态势大数据的关联图谱等思路构建战场态势感知大数据结构,运用基础数据战前准备、动态数据采集获取、隐性数据深度挖掘等方式拓展战场态势感知大数据来源,通过通播通用作战视图、分域发布局部态势、直达推送先验数据、专项定制个性数据等路径优化战场态势感知大数据的利用。

The basic methods were described for improving the battlefield situation sensing ability using big data.The following ideas were put forward for constructing the big data structure for sensing the battlefield situation,namely the dimensions,granules,update frequency and associated graphs of battlefield big data. The sources of battlefield situation sensing big data were expanded by preparing the basic data before combat,collecting and accessing dynamic data,deep mining of invisible data. The use of battlefield situation sensing big data was optimized by broadcasting the visual battle map,releasing the local situation,pushing the transcendental data,and customizing the special personal data.