基于数字技术的中国城市管理智能信息系统

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Smart Cities Pub Date : 2022-07-12 DOI:10.1049/smc2.12035
Yufang Huang, Hongtao Peng, Massoud Sofi, Zhiyuan Zhou, Tingyan Xing, Guoxing Ma, Aocheng Zhong
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引用次数: 3

摘要

智慧城市需要科学规划、建设数字化管理、服务智能化。本文主要研究了中国基于智能信息系统和数字技术的城市管理。景观、水利、环保等行业智能互通系统的建立是智慧城市的基础。本文介绍了智慧城市建设的数字技术框架,充分利用了基于地理信息系统、建筑信息模型、物联网的城市信息建模,以及卫星遥感、卫星全球导航系统、移动应用、云计算、可视化技术等综合数字系统和服务平台。实施案例研究表明,该框架适用于数字技术下的智慧城市,包括数据模型和系统,整合城市基础地理数据、交通、城市建设、国土资源“一图”等基础设施和其他公共设施数据。通过基于数据平台和系统的数据采集、数据传输、数据分析和处理,使治理更加有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The city management based on smart information system using digital technologies in China

Scientific planning, digital management of construction and intelligent service are needed for a smart city. This paper focusses on city management based on the smart information system and digital technologies in China. The establishment of the smart intercommunication system of landscape, water conservancy, environmental protection and other industries is basic for a smart city. This paper introduced a framework of digital technologies for the construction of a smart city, which made full use of the city information modelling based on the geographic information system, building information modelling, internet of things, and integrated digital system and service platform such as satellite remote sensing, global navigation satellite system, mobile applications, cloud computing, visualisation technology etc. The study of the case implemented show that the framework is applicable to the smart city with digital technologies that includes the data model and system, integrating the urban basic geographic data, and data of infrastructure and other public facilities related to traffic, urban construction, ‘One Map’ of land and resources etc. The governance is more effective through data acquisition, data transmission, data analysis and processing based on the data platform and system.

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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
期刊最新文献
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