大规模地理信息数据存储管理平台关键技术研究与实践  

Key technology research and practice for large scale geographic information data storage and management platform

作　　者：蔡扬扬 李江 段文辉 CAI Yangyang;LI Jiang;DUAN Wenhui(The First Topographic Surveying Brigade of the Ministry of Natural Resources,Xi’an,Shaanxi 710054,China;Zhejiang Urban and Rural Planning Design Institute,Hangzhou,Zhejiang 310000,China)

机构地区：[1]自然资源部第一地形测量队,陕西西安710054 [2]浙江省城乡规划设计研究院,浙江杭州310000

出　　处：《测绘技术装备》2023年第3期173-179,共7页Geomatics Technology and Equipment

摘　　要：在进行多源海量地理信息数据存储与管理时,传统的空间数据管理方式会出现扩展困难,检索能力不足等问题。为解决上述问题,本文提出了基于Hadoop分布式文件系统(HDFS)和HBase分布式数据库(HBase)的分布式存储模式,利用Hadoop构建地理信息数据存储管理平台,设计了省级地理国情监测数据管理和发布系统,并利用陕西省地理国情地表覆盖数据进行了测试。测试结果表明,该方法显著提高了地理信息矢量数据的查询统计速度,说明本文提出的分布式存储和并行计算处理方法可以为地理信息成果的应用分析提供相应服务。When storing and managing massive multi sourced geographic information data,traditional spatial data management methods may have such problems as difficulty in expansion and insufficient retrieval capabilities.In order to solve the above problems,this paper proposes a distributed storage mode based on HDFS and HBase,it uses Hadoop to build a geographic information data storage management platform and a provincial geographic conditions data management and publishing system,and uses national geographical census data of Shaanxi Province for testing.The test results show that this method greatly improves the query and statistical speed of geographic information vector data,indicating that the distributed storage and parallel computing processing method proposed in this paper can provide corresponding services for the application and analysis of geographic information data.

关 键 词：地理信息 大数据 分布式存储 并行计算 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]