面向智慧城市数据管理和多维决策的时空数据仓库建设  

Construction of spatio-temporal data warehouse for data management and multi-dimensional decision-making in Smart City

作　　者：杨丽娜[1] 邵静[1,2] 彭玲[1] 池天河[1] 姚晓婧[1] 

机构地区：[1]中国科学院遥感与数字地球研究所,北京100012 [2]中国科学院大学,北京100049

出　　处：《测绘科学》2014年第8期44-49,共6页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(41201397)

摘　　要：将城市数据作为一套互联互通的有机系统并建立多源数据的一体化管理模型,对于智慧城市数据挖掘和智慧决策具有重要的意义。目前城市数据存在多样化、难匹配、不一致的现状,难以提供面向不同应用主题的高层次、多维度、多时空信息分析。文章旨在探讨城市时空数据汇总分类、综合管理并辅助多维决策的技术方法:基于对城市数据内容的体系化分析,从时间、空间、用户对象和专题类型4个维度深入探讨其共性特征,并设计了多层次的时空数据仓库架构体系和多维数据模型,以面向主题的方式抽取聚合并一体化集成了多样式、分布式存储的异构多源数据,为全面物联、充分整合的智慧城市建设和高层次、全局性的分析决策提供数据支撑。It possesses important significance to take city data as a set of interconnection organic system and establish the integrated management model of multi-source data for data mining and multi-dimensional decision-making in Smart City. At present, city data is diverse, hard to match and inconsistent, which can not meet the need of high-level analysis for different application theme. In this paper, the meth- ods and techniques of comprehensive summary, integrated management and assistant decision-making were discussed. Based on the systematic analysis Of city data, the common features from four dimensions of time, space, user objects and subject type were studied firstly, multi-level data warehouse architecture and multi-dimensional data model were designed secondly, and then subject-oriented, diversified, distrib- uted and multi-source data were extracted and integrated, which could provide the data support for the construction of Smart City and the multi-dimensional decision analysis.

关 键 词：智慧城市 数据管理 数据仓库 多维决策 四维特性 

分 类 号：P208[天文地球—地图制图学与地理信息工程]