面向智慧城市协同服务的时空大数据平台关键技术研究OA

In response to smart city development requirements and informed by advances in spatio-temporal big data research,this study delineat-ed the conceptual connotation of spatio-temporal big data platforms and analyzed their service paradigms,and proposed a technical architecture integrating"grid integration and elastic cloud",accompanied by six constituent technical systems for platform construction.To address the chal-lenges of collaborative service provisioning in smart cities,this paper introduced virtual organization technology and an application service mod-el designated as"shared spatio-temporal big data platform+",which could facilitate efficient aggregation and service sharing of multi-source het-erogeneous spatio-temporal big data,as well as cross-hierarchical,cross-regional,cross-system,cross-departmental,and cross-business collabora-tive services.Building upon this framework,an independently developed spatio-temporal big data platform,called Xingyao was presented,and its deployment in the Smart Jiyuan initiative was reported.Serving applications in natural resource management,ecological environmental protec-tion,intelligent transportation optimization,disaster emergency coordination,and urban facility management,this work establishes a complete technical pipeline spanning city-wide perception,data governance,service orchestration,and intelligent decision-making,thereby providing foun-dational platform support for refined governance and collaborative services in smart cities.