时空大数据全链条管理分析研究与应用  

Research and Application of Spatio-temporal Big Data Full-chain Management Analysis

作　　者：邓淑丹 DENG Shudan(Fujian Provincial Natural Resources and Geomatics Center,Fuzhou 350003,China)

机构地区：[1]福建省自然资源地理信息中心,福建福州350003

出　　处：《地理空间信息》2024年第12期128-132,共5页Geospatial Information

基　　金：智慧南平时空信息云平台国家建设试点项目(自然资办函〔2018〕550号)。

摘　　要：在数据作为生产要素的新时代,如何组织、管理、挖掘时空大数据价值具有重要的研究意义。从测绘地理信息视角,聚焦时空基础地理信息、时空公共专题、空间规划、智能感知数据、互联网萃取数据等,研究基于RTDS的物联网数据管理技术、互联网数据近实时数据抓取与清洗技术、可视化并行计算的空间数据挖掘分析技术、超量信息可视化分析与应用技术,提出时空大数据全链条的汇、治、管、挖方法。成果应用于智慧南平时空信息云平台建设项目,自然资源舆情监测、环境质量监测、地价分析等方面,取得显著成效。In the new era of data as a factor of production,how to organize,manage,and mine the value of spatio-temporal big data has important research significance.From the perspective of surveying and mapping geographical information,focus on spatio-temporal basic geographical information,spatio-temporal public topics,spatial planning,intelligent perception data,Internet extraction data,we studied the Internet of Things data management technology based on RTDS,the Internet data near real-time data capture and cleaning technology,the spatial data mining analysis technology of visual parallel computing,visual analysis and application technology of excess information,and proposed the methods of aggregation,government,management and mining of whole chain of spatio-temporal big data.The research results have been applied to the project of the Smart Nanping spatio-temporal information cloud platform,natural resource public opinion monitoring,environmental quality monitoring,and land price analysis,and have made outstanding achievements.

关 键 词：时空大数据 时空数据组织模型 全链条管理分析 时空数据挖掘分析 

分 类 号：P208[天文地球—地图制图学与地理信息工程]