摘要
为解决土地督察大数据存储与管理问题,依据土地督察数据管理现状和实际需求,研究了分布式文件存储系统(HDFS),设计了土地督察数据库结构,基于VMware构建了虚拟化云计算环境,应用云储存技术搭建了私有云数据中心。研究了分布式架构下海量空间数据组织模型存储方案,制定了数据入库标准,开发了数据交换系统和数据审查与标准化处理工具,基于GIS插件式开发框架研发了土地督察数据库管理系统,实现了对海量专题数据库的统一建立、安全存储、高效管理,形成了土地督察业务"一套数据标准、一个中心、一个系统",能够满足督察区域数据存储管理要求,为土地督察领域大数据存储与应用提供了解决方案参考。
Facing the problem of large data storage and management of land supervision,according to the current situation and actual demand of land supervision data management,HDFS is researched,the database structure of land supervision is designed,a virtual cloud computing environment is built based on VMware,the cloud storage technology is used to build the private cloud data center.Under distributed architecture,the storage scheme of mass spatial data organization model is studied,data storage standards is formulated,data exchange system and data processing tools are developed,based on the GIS plug-in development framework,the land inspector database management system is developed,which realizes the unified establishment,safe storage and efficient management of the database,form " a set of data standards,a data center,a system",which satisfy the requirements of data storage and management,and provides a reference for the storage and application of big data in the field of land supervision.
作者
李杰
施建辉
徐培罡
吴静阳
LI Jie;SHI Jianhui;XU Peigang;WU Jingyang(The First Institute of Photogrammetry and Remote Sensing,Ministry of Natural Resources,Xi′an 710054,China)
出处
《测绘与空间地理信息》
2019年第12期76-79,88,共5页
Geomatics & Spatial Information Technology
基金
测绘地理信息公益性行业科研专项(201412008)资助
