中国建设信息化2024,Issue(17) :74-78.

智慧城市时空大数据平台关键技术研究

Research on Key Technologies of the Smart City Spatio-temporal Big Data Platform

陈小聪 王华 陈婷 张军
中国建设信息化2024,Issue(17) :74-78.

智慧城市时空大数据平台关键技术研究

Research on Key Technologies of the Smart City Spatio-temporal Big Data Platform

陈小聪 1王华 2陈婷 1张军1
扫码查看

作者信息

  • 1. 广州城市信息研究所有限公司
  • 2. 深圳市龙岗区大数据中心
  • 折叠

摘要

时空大数据平台作为城市时空基础数据共享交换的枢纽,是向政府部门、企事业单位和社会公众提供安全统一、权威可靠的地理信息服务的载体.经过多年的建设与推广,基于时空大数据平台构建的行业应用百花齐放,充分发挥了城市空间基础底座的价值.在应用过程中,时空大数据平台逐渐显露出大数据量的地理要素更新渲染效率低、空间数据共享无法动态进行细粒度控制的问题.本文结合业务需求,总结智慧城市时空大数据平台建设经验,对矢量切片技术、基于权限控制的服务拆分技术进行了研究,为智慧城市时空大数据平台建设过程中出现的基础、共性问题提供一种可行的解决方案.

Abstract

As a hub for sharing and exchanging urban spatial and temporal basic data,the spatio-temporal big data platform serves as a vehicle for delivering secure,unified,authoritative,and reliable geographic information services to government departments,enterprises,institutions,and the public.After years of development and promotion,industry applications built on the spatio-temporal big data platform have flourished,the value of the urban spatial infrastructure has been fully leveraged.In the process of application,the spatio-temporal big data platform gradually reveals issues with low efficiency in updating and rendering geographic elements with large volumes of data,and the inability to dynamically perform fine-grained control in spatial data sharing.This article,aligned with business needs,summarizes the experience of building a smart city spatiotemporal big data platform,and conducts research on vector slicing technology、service splitting technology based on permission control,offering a practical solution to the fundamental and common issues encountered during the development of a smart city spatiotemporal big data platform.

关键词

智慧城市/时空大数据平台/矢量切片/服务拆分

Key words

Smart City/Spatio-temporal Big Data Platform/Vector Slicing/Services Splitting

引用本文复制引用

出版年

2024
中国建设信息化

中国建设信息化

ISSN:
段落导航相关论文