摘要
为解决传统端云计算框架在城市管理服务的难计算和不及时问题,本文提出一套面向城市网格化综合管理服务的云边端协同计算框架。该框架通过构建城市综合管理服务业务分类模型、设计协同计算框架结构和智能适配过程,系统性结合云边端的处理优势与城市网格化管理模式。在装备端完成数据分级,在边缘侧实现模型处理,在云中心完成数据存储和复杂分析,从而实现城市管理服务快速处理、及时响应的目的。最后以武汉市东湖高新区为研究区域,基于本框架开展城市环境污染监测实验。结果显示,相比传统端云计算框架,本文所提云边端协同计算框架在计算性能和处理效率上均有较大优势,表明在城市网格化综合管理服务上具有良好应用前景。
In order to solve the problem that the traditional cloud computing framework is difficult to calculate and not timely in urban management services,this paper proposes a set of cloud-edge-end collaborative computing framework for urban grid integrated man-agement services.By constructing the urban integrated management service business classification model and designing the structure and intelligent adaptation process of the collaborative computing framework,this framework systematically combines the processing ad-vantages of cloud-edge-end and the urban grid management mode.Data classification is completed on the equipment side,model pro-cessing is realized on the edge side,and data storage and complex analysis are completed in the cloud center,so as to realize the pur-pose of rapid processing and timely response of urban management services.Finally,taking Wuhan East Lake high-tech zone as the research area,urban environmental pollution monitoring experiments are conducted based on this framework.The results show that compared with the traditional cloud computing framework,the cloud-edge-end collaborative computing framework has great advanta-ges in computing performance and processing efficiency,indicating that it has a good application prospect in urban grid integrated management services.
作者
胡楚丽
程萍
程一凡
付海涛
祁昆仑
陈栋
陈能成
沈永林
HU Chuli;CHENG Ping;CHENG Yifan;FU Haitao;QI Kunlun;CHEN Dong;CHEN Nengcheng;SHEN Yonglin(School of Geography and Information Engineering,China University of Geosciences,Wuhan 430074,China;National Engineering Research Center of Geographic Information System,China University of Geosciences,Wuhan 430074,China;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing(LIESMARS),Wuhan University,Wuhan 430079,China)
出处
《测绘与空间地理信息》
2023年第9期1-5,共5页
Geomatics & Spatial Information Technology
基金
国家重点研发计划重点专项(2020YFB2103403)资助。
关键词
智慧城市
网格化管理
云计算
云边端协同
城市综合管理服务
smart city
grid management
cloud computing
cloud-edge-end collaboration
urban integrated management services
