由于地理信息系统(Geographic Information System,GIS)具有对空间信息及其属性信息强大的分析、三维显示、决策、模拟以及预测等功能,已在诸多领域得到广泛应用,GIS平台为大坝安全监控系统实现监测数据采集与维护管理、资料分析以及大...由于地理信息系统(Geographic Information System,GIS)具有对空间信息及其属性信息强大的分析、三维显示、决策、模拟以及预测等功能,已在诸多领域得到广泛应用,GIS平台为大坝安全监控系统实现监测数据采集与维护管理、资料分析以及大坝安全评价的在线可视化提供了可能.文章研究了基于GIS平台的大坝安全监控系统的功能、结构框架及实现途径,为提高大坝安全评价的可靠性与适时性、实现大坝安全监控的信息化、优化安全监测系统发挥重要作用.展开更多
Building a cloud geodatabase for a sponge city is crucial to integrate the geospatial information dispersed in various departments for multi-user high concurrent access and retrieval,high scalability and availability,...Building a cloud geodatabase for a sponge city is crucial to integrate the geospatial information dispersed in various departments for multi-user high concurrent access and retrieval,high scalability and availability,efficient storage and management.In this study,Hadoop distributed computing framework,including Hadoop distributed file system and MapReduce(mapper and reducer),is firstly designed with a parallel computing framework to process massive spatial data.Then,access control with a series of standard application programming interfaces for different functions is designed,including spatial data storage layer,cloud geodatabase access layer,spatial data access layer and spatial data analysis layer.Subsequently,a retrieval model is designed,including direct addressing via file name,three-level concurrent retrieval and block data retrieval strategies.Main functions are realised,including real-time concurrent access,high-performance computing,communication,massive data storage,efficient retrieval and scheduling decisions on the multi-scale,multi-source and massive spatial data.Finally,the performance of Hadoop cloud geodatabases is validated and compared with that of the Oracle database.The cloud geodatabase for the sponge city can avoid redundant configuration of personnel,hardware and software,support the data transfer,model debugging and application development,and provide accurate,real-time,virtual,intelligent,reliable,elastically scalable,dynamic and on-demand cloud services of the basic and thematic geographic information for the construction and management of the sponge city.展开更多
文摘由于地理信息系统(Geographic Information System,GIS)具有对空间信息及其属性信息强大的分析、三维显示、决策、模拟以及预测等功能,已在诸多领域得到广泛应用,GIS平台为大坝安全监控系统实现监测数据采集与维护管理、资料分析以及大坝安全评价的在线可视化提供了可能.文章研究了基于GIS平台的大坝安全监控系统的功能、结构框架及实现途径,为提高大坝安全评价的可靠性与适时性、实现大坝安全监控的信息化、优化安全监测系统发挥重要作用.
基金Project(NZ1628)supported by the Natural Science Foundation of Ningxia,China
文摘Building a cloud geodatabase for a sponge city is crucial to integrate the geospatial information dispersed in various departments for multi-user high concurrent access and retrieval,high scalability and availability,efficient storage and management.In this study,Hadoop distributed computing framework,including Hadoop distributed file system and MapReduce(mapper and reducer),is firstly designed with a parallel computing framework to process massive spatial data.Then,access control with a series of standard application programming interfaces for different functions is designed,including spatial data storage layer,cloud geodatabase access layer,spatial data access layer and spatial data analysis layer.Subsequently,a retrieval model is designed,including direct addressing via file name,three-level concurrent retrieval and block data retrieval strategies.Main functions are realised,including real-time concurrent access,high-performance computing,communication,massive data storage,efficient retrieval and scheduling decisions on the multi-scale,multi-source and massive spatial data.Finally,the performance of Hadoop cloud geodatabases is validated and compared with that of the Oracle database.The cloud geodatabase for the sponge city can avoid redundant configuration of personnel,hardware and software,support the data transfer,model debugging and application development,and provide accurate,real-time,virtual,intelligent,reliable,elastically scalable,dynamic and on-demand cloud services of the basic and thematic geographic information for the construction and management of the sponge city.
