基于时空位置大数据的公共疫情防控服务让城市更智慧

Public Epidemic Prevention and Control Services Based on Big Data of Spatiotemporal Location Make Cities more Smart

  • 摘要: 智慧城市离不开时空位置大数据服务。总结国内外公共疫情防控事件对时空位置大数据的要求,调研其在当前疫情防控中提供的具体服务情况,讨论还有哪些方面无法满足公共疫情防控需求之处,重点分析下一步应该如何完善时空位置大数据服务,以更好地服务于公共疫情防控,并分别从平时时空大数据位置服务的建设内容和战时数据共享机制等多方面给出建议。该文旨在采取科学手段完善时空大数据服务,力争在平时为公共疫情防控建立好技术支撑系统,并出台“战时”面向疫情防控需求的数据共享机制。

     

    Abstract: Smart cities cannot be separated from spatiotemporal location big data. This paper summarizes the needs of spatiotemporal location big data for public epidemic events at home and abroad, investigates the specific services that current spatiotemporal location big data can provide in public epidemic events, and discusses the current stage of spatiotemporal location big data services that cannot meet the requirements of public epidemic events. This paper also focuses on how to improve the spatiotemporal location big data services in the next stage to better serve the public epidemic prevention and control, and gives advice on spatio-temporal location service construction at ordinary times and data sharing mechanism in "wartime". This paper aims to take scientific measures to improve the spatiotemporal big data services, strives to establish a technical support system for public epidemic prevention and control at ordinary times, and introduces a "wartime" spatiotemporal location big data sharing mechanism for epidemic prevention and control.

     

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