基于云原生的时空大数据平台设计与实现

The Design and Implementation of Spatio-temporal Big Data Platform Based on Cloud Native

作为测绘地理信息工作实现“两支撑、一提升”定位的服务载体、自然资源管理的统一底板、智慧城市的时空基础设施、数字孪生城市的空间数字底盘等,时空大数据平台已成为城市信息化建设不可或缺的内容。时空大数据平台服务领域不断扩大,对其在时空大数据汇聚、融合、管理、共享、分析,以及高可用、高并发、高弹性等方面的要求也不断提升。本文基于云原生平台架构,建立基于微服务和容器的平台服务体系,实现平台服务的稳定、高效与灵活,并以石家庄为例,实现平台的建设与应用,对其他区域平台建设与长效运行具有一定的借鉴意义。

As a service carrier for surveying and mapping geographic information to achieve“two supports,one improvement”,a unified floor for natural resource management,a spatio-temporal infrastructure for smart cities and a spatial digital chassis for digital twin cities,spatio-temporal big data platform has become indispensable for urban informatization.With the continuous expansion of the service field of the spatio-temporal big data platform,various fields show increasing requirements for its functions,such as spatio-temporal big data aggregation,fusion,management,sharing,and analysis.Its architecture,characterized as“high concurrency,high compatibility,high expansion,and maintainability”has also been constantly improved.This paper studies and designs a Cloud Native platform architecture and establishes a platform service system based on microservices and containers and realizes the stability and effectiveness of platform services.Finally,Shijiazhuang is taken as an example to realize the construction and application of the platform,which has certain reference significance for the construction and long-term operation of other regional platforms.