基于城市信息单元的多源时空数据融合框架  

A Multi-source Spatio-temporal Data Fusion Framework Based on Urban Information Units

作　　者：刘尚钦 张福浩 仇阿根[2] 张用川[5] 罗宁 LIU Shangqin;ZHANG Fuhao;QIU Agen;ZHANG Yongchuan;LUO Ning(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;Chinese Academy of Surveying and Mapping,Beijing 100830,China;National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring,Lanzhou 730070,China;Gansu Provincial Engineering Laboratory for National Geographic State Monitoring,Lanzhou 730070,China;Chongqing Jiaotong University,Chongqing 400074,China;Institute of Software Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]兰州交通大学测绘与地理信息学院,兰州730070 [2]中国测绘科学研究院,北京100830 [3]地理国情监测技术应用国家地方联合工程研究中心,兰州730070 [4]甘肃省地理国情监测工程实验室,兰州730070 [5]重庆交通大学,重庆400074 [6]中国科学院软件研究所,北京100190

出　　处：《集成技术》2023年第3期34-47,共14页Journal of Integration Technology

基　　金：国家重点研发计划项目(2019YFB2102503);中国测绘科学研究院基本科研业务费项目(AR2111);兰州交通大学优秀平台项目(201806)。

摘　　要：建设智慧城市可有效提升城市治理与运行能力、打破城市发展困境。为探索如何基于物理-数字空间交融中的时空大数据提供面向城市管理的智能服务,该文在解析多源、多维、异构时空大数据语义关系的基础上,提出多源时空大数据透明融合框架。为实现这一目标,该文进一步提出“城市信息单元”的概念作为构建物理-数字空间交融的数据组织基础,首先,对多源、多维、异构时空大数据进行主动汇集、语义解析,完成地理知识时空构建,依据唯一数据编码,将数据信息映射至城市信息单元;然后,建立数据匹配模型和关联模型,搭建数据透明融合框架,结合多源异构数据要素匹配技术,构建时空数据透明融合规则库;最后,在众多融合方法的支持下,实现城市实体与时空多源时空数据的透明融合。借助城市信息单元与数据编码,实现城市实体与时空大数据动态融合方法体系,进而为用户提供智能化信息服务。The construction of smart cities can effectively improve urban governance and operation capacity and break the urban development dilemma.To explore how to provide intelligent services for urban management through spatio-temporal big data in the physical-digital space intersection,this paper proposes a transparent fusion framework for multi-source spatio-temporal big data based on the analysis of the semantic relationships of multi-source,multi-dimensional,and heterogeneous spatio-temporal big data.To achieve this goal,a concept of“city information unit”is further proposed as the basis for building the data organization of physical-digital spatial integration.In particular,the multi-source,multi-dimensional,and heterogeneous spatio-temporal big data are first actively aggregated,semantically resolved,and then the geographic knowledge is constructed spatiotemporally;based on the unique data code,the data information is mapped to the city information unit;Next,in this paper,data matching model and association model are found,and a transparent data fusion framework is constructed.Combined with multi-source heterogeneous data element matching technology,a transparent spatio-temporal data fusion rule base is constructed.Finally,with the support of various fusion methods,the transparent fusion of urban entity and spatio-temporal multisource spatio-temporal data is realized.With the help of urban information unit and data coding,we realize the dynamic integration system of urban entity and spatio-temporal big data,so as to provide users with intelligent information services.

关 键 词：城市信息单元 物理-数字空间 多源异构数据 透明融合框架 

分 类 号：P237[天文地球—摄影测量与遥感]