基于大数据的空间目标监测数据管理系统设计与应用  

Design and application of space target monitoring data management system based on big data

作　　者：陈洪雁[1] 张大伟[1] 万俊伟[1] 齐宏为[1] Chen Hongyan;Zhang Dawei;Wan Junwei;Qi Hongwei(Beijing Institute of Tracking and Telecommunicaitons Technology,Beijing 100094,China)

机构地区：[1]北京跟踪与通信技术研究所,北京100094

出　　处：《航天电子对抗》2020年第4期11-14,共4页Aerospace Electronic Warfare

基　　金：国家自然科学基金资助项目(61890965)。

摘　　要：针对空间目标探测与识别试验系统监测站(简称监测站)海量目标识别数据管理效率不高、数据分析处理能力不足、观测数据使用效益未完全发挥、对系统服务性能提升贡献度不高的现状,利用Hadoop等大数据技术开发具备数据存储管理、分析挖掘、质量评估等功能的平台,建立系统设备性能状态主动受控式预警系统,解决了海量观测数据存储管理的难题。同时,综合利用大数据分析结果,挖掘探索监测数据相关性与影响规律,为提升空间目标监测系统服务性能提供可靠支撑。Aiming at the low efficiency of data management,inadequate data analysis and processing ability,incomplete utilization of observation data and low contribution to the improvement of system service performance in the monitoring station(abbreviated as monitoring station)of space target detection and recognition test system,Hadoop and other big data technology are used to develop a platform with functions of data storage management,analysis and mining,quality evaluation,etc. The active controlled early warning system of system equipment performance status is established,which solves the difficult problem of storage and management of massive observation data. At the same time,using the results of large data analysis,mining and exploring the correlation and influence rules of monitoring data,provide reliable support for improving the service performance of space target monitoring system.

关 键 词：观测数据 监测站 空间目标识别 大数据 HADOOP 

分 类 号：TN97[电子电信—信号与信息处理] TP274.2[电子电信—信息与通信工程]