多源异构国土数据整合方法与云共享研究  

Research on Multi-source Heterogeneous Land Data Integration and Cloud Sharing Method

作　　者：赵志明 ZHAO Zhiming(Guangdong Provincial Nuclear Industry Geology Bureau Surveying and Mapping Institute,Guangzhou 510800,China)

机构地区：[1]广东省核工业地质局测绘院

出　　处：《测绘与空间地理信息》2019年第11期173-176,共4页Geomatics & Spatial Information Technology

摘　　要：国土资源数据具有时间相异、基准相异、平台相异等多源异构性,给国土资源信息化建设造成障碍。针对当前数据备份、数据拷贝、局域网共享等简单共享方式的不足,本文提出了一种基于不同平台的国土异构数据共享方法。该方法首先利用中间件技术和动态投影技术进行数据异源整合,然后利用ArcGIS API for Flex和SuperMap iClient for flash构建服务平台,相互调用共享多源异构数据。实验表明,两个平台通过服务调用和聚合可实现无缝共享多源异构国土数据,图形没有偏移错误和拓扑错误,实现了数据跨平台服务共享。Land and resources data are heterogeneous with different time,different projection coordinates,and different platforms,which cause obstacles to the information construction of land and resources.In view of the shortcomings of current data backup,data copy,LAN sharing and other simple sharing methods,this paper presented a method of land heterogeneous data sharing based on different platforms.This method first used heterogeneous data middleware and dynamic projection technology to integrate heterotopous data,and then used ArcGIS API for Flex and SuperMap iClient for flash to construct service platform,in order to call the sharing multi-source heterogeneous data.The experiment showed that the two platforms can share multi-source and heterogeneous land data seamlessly through service call and aggregation,and there was no offset and topology error in graphics,it was realized that the data cross platform service sharing.

关 键 词：异构数据 拓扑关系 异构数据中间件 数据驱动 国土资源数据 

分 类 号：P208[天文地球—地图制图学与地理信息工程]