摘要
航空数据具有数据量大、来源广、结构不同等特点。航空数据的管理与分析一直以来都是海军航空兵重点关注的问题,关系到航空装备故障诊断,决策分析等多方面应用。通过研究多源航空大数据的融合和挖掘技术,一方面有助于挖掘现有航空数据的价值,一方面为后续的应用提供数据基础。对多源航空大数据进行了简要概述,介绍了多源航空大数据的来源和类型,分别简述了数据融合技术的3个层次和关键技术,以及数据挖掘的关键技术,针对多源航空数据做出总结和展望。
The management and analysis of aviation data has always been a key concern of naval aviation,which is related to aviation equipment fault diagnosis,decision analysis and many other applications.Aviation data has the characteristics of large amount of data,wide sources,and different structures.By studying the integration and mining technology of multi source aviation big data,on the one hand,it helps to dig out the value of existing troops,on the other hand,it provides a data foundation for subsequent applications.Firstly,in this paper,a brief overview of multi source aviation big data is given,and the sources and types of multi source aviation big data are introduced.Then,the three levels and key technologies of data fusion technology and the key technologies of data mining are briefly described.Finally,Make a summary and outlook for multi source aviation data.
作者
李瑛
颜廷龙
LI Ying;YAN Ting-long(College of Basic Sciences for Aviation,Naval Aviation University,Yantai 264001,China;College of Coastal Defense,Naval Aviation University,Yantai 264001,China)
出处
《航空计算技术》
2020年第6期124-128,共5页
Aeronautical Computing Technique
