面向海量数据的海情分析技术研究  

Research on Sea Situation Data Analysis for Mass Data

作　　者：杨荣芳[1] YANG Rongfang(Unit 98,the No. 92493 Troop of PLA, Huludao 125001, China)

机构地区：[1]中国人民解放军92493部队98分队,辽宁葫芦岛125001

出　　处：《兵器装备工程学报》2018年第4期97-100,142,共5页Journal of Ordnance Equipment Engineering

摘　　要：现代情报系统积累的情报数据具有快速积累、类型多样、关系复杂、数据量大等特点,难以做到全面细致的研究,数据挖掘能够有效利用这些数据中的潜在价值,较好地解决情报数据分析中存在的问题,在军事领域中具有很好的应用前景。以渤海海情应用为需求,将数据挖掘引入海情业务系统中,对海量情报数据进行分析,提出了一种面向海量数据的海情数据分析软件总体框架,探讨了多源异构数据的高效检索、基于轨迹的目标运动规律与异常检测、基于模板的目标意图表示与挖掘等关键技术,为进一步提升渤海海区情报处理能力提供技术支撑。Intelligence data accumulated by modern intelligence data system have the characteristics with rapid accumulation,various types,complicated relationships and large amount of data. It is difficult to achieve comprehensive and meticulous research,data mining can effectively use of the potential value of these data,better solve the problems existing in the intelligence data analysis. It is of great significance in the military field to fully and effectively use of these potential value. Based on bohai sea condition application demand,introducing data mining business system of sea,analyze the massive intelligence data,this article puts forward a kind of general architecture Facing massive information data,for which sea condition data analysis software, and preliminary discusses about efficient retrieval of multi-source heterogeneous data,target movement law and abnormal retrieval based on the trajectory,target intention representation and excavation based on the templates,which provides technical support for further promoting the Bohai sea area information processing ability.

关 键 词：海量数据 数据挖掘 数据分析 软件总体架构 

分 类 号：E911[军事]