装备试验大数据应用架构研究
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摘要
随着装备试验信息化水平的提高和各类测试技术的进步,装备试验数据的管理逐步凸显出两个方面的问题。一方面,试验过程中所采集的试验数据量不断增加,传统的数据存储和数据分析方式的局限已不能满足装备试验发展的需要。另一方面,海量试验数据信息的累积蕴含着巨大的潜在价值,当前装备试验中对于试验数据价值挖掘还比较欠缺。论文从装备试验发展的实际出发,综合分析试验过程中各类数据的特点、存储方式和处理方法,结合当前大数据存储、分析、挖掘相关技术,对装备试验大数据应用架构进行了研究,为装备试验数据资源的高效管理提供了支撑。
With the improvement of equipment test informatization level and the progress of all kinds of test technology,the management of equipment test information gradually raises two problems.On the one hand,the amount of data collected during the experiment is constantly increasing,the limitations of traditional data storage and data analysis methods cannot meet the needs of equipment test.On the other hand,the accumulation of data information often contains great potential value,in the current equipment test,the mining of data value is not enough.The paper starts from the actual equipment test,the characteristics,storage methods and processing methods of all kinds of data are analyzed. Combined with the current big data storage analysis and mining related technologies,the application architecture of test data is studied,and it provides support for efficient management of data resources.
With the improvement of equipment test informatization level and the progress of all kinds of test technology,the management of equipment test information gradually raises two problems.On the one hand,the amount of data collected during the experiment is constantly increasing,the limitations of traditional data storage and data analysis methods cannot meet the needs of equipment test.On the other hand,the accumulation of data information often contains great potential value,in the current equipment test,the mining of data value is not enough.The paper starts from the actual equipment test,the characteristics,storage methods and processing methods of all kinds of data are analyzed. Combined with the current big data storage analysis and mining related technologies,the application architecture of test data is studied,and it provides support for efficient management of data resources.
引文
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[3]宁兆龙,孔祥杰.大数据导论[M].北京:科学出版社,2017:52-59.
[4]魏晨曦.大数据在美国军事及民用航天领域中的应用简析[J].国际太空,2015,20(12):42-50.
[5]刘金山,周朝谦,郭连升.“互联网+”时代大数据技术在军事领域的应用[J].国防科技,2015,14(12):36-41.
[6]张新建,张媛.海军指挥信息系统大数据策略[J].指挥信息系统与技术,2015,7(4):17-21.
[7]谷晓鹏,吉阳生,等.海军指挥信息系统大数据建设[J].指挥信息系统与技术,2015,15(4):27-31.
[8]曹会智,李沛,等.大数据时代背景下装备保障建设发展研究[J].中国管理信息化,2014,16(9):52-53.
[9]洛刚,王国盛,聂晶.信息化装备试验建设思考[J].装备指挥技术学院学报,2010,13(06):15-18.
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[11]王元卓,靳小龙,程学旗.网络大数据:现状与展望[J].计算机学报,2013,7(6):42-47.
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