基于大数据技术的自然资源数据快速更新体系研究  

Research on the Rapid Update System of Natural Resource Data Based on Big Data Technology

作　　者：郭艳[1] 黎慧斌[1] GUO Yan;LI Huibin(Guangdong Land and Resources Technology Center,Guangzhou 510075,China)

机构地区：[1]广东省国土资源技术中心,广东广州510075

出　　处：《测绘与空间地理信息》2020年第8期135-137,142,共4页Geomatics & Spatial Information Technology

摘　　要：多源异构的自然资源数据具有显著的时空特性,传统的数据库难以解决这些数据的存储、管理和使用,时空大数据云平台提供了一种全新、有效的解决方案,利用Hyper-V技术搭建私有时空大数据云平台,提高了多源异构自然资源数据存储可靠性,时空大数据挖掘技术能够获取更多更有价值的信息,为山水林田湖草整体保护、系统修复、综合治理提供更有效的信息支撑。The multi-source and heterogeneous natural resource data has significant space-time characteristics.The traditional database is difficult to solve the storage,management and use of these data.The space-time big data cloud platform provides a new and effective solution.The use of Hyper-V technology to build a private space-time big data cloud platform improves the storage reliability of multi-source and heterogeneous natural resource data,and time-space big data mining Digging technology can obtain more valuable information and provide more effective information support for the overall protection,system restoration and comprehensive management of mountains,rivers,fields,lakes and grass.

关 键 词：时空大数据 私有云平台 HYPER-V 

分 类 号：P208[天文地球—地图制图学与地理信息工程]