摘要
感知设备的接入、集成管理与服务是实现智慧城市的首要前提。为了剖析当前智慧城市感知技术的发展和挑战,首先系统性论述了智慧城市感知的需求与复杂性,梳理了智慧城市感知技术体系的发展过程和网络架构;然后在此基础上,针对未来智慧城市感知中泛在接入、可信感知和智慧管理的重要挑战,提出了智慧城市感知基站这一全新的解决方案,论述了智慧城市感知基站作为未来智慧城市综合感知基础设施的重要角色,并从其原型机上介绍了整个系统的运行原理;最后围绕智慧城市感知基站,分析和展望了其在社区场景和应急场景下的应用前景。
Objectives: Nowadays, a vast number of sensors and observation platforms bring a significant challenge for city perception. In the study, we focus on developing of a smart city tempo-spatial perception system. The concept of smart city awareness base station(SCABS) is proposed in this study, and the SCABS architecture considers the above problems. Methods: Firstly, we systematically reviewed the requirements and the complexity of smart city perception and summarized the development process and network architecture of smart city perception technology systems. On this basis, the challenges of ubiquitous access, trusted perception and intelligent management in future smart city perception are addressed. Then,this paper sorted out the demand for future city perception services and constructed the architecture of SCABS. Finally, we standardized the technical indicators and service capabilities of SCABS.Results: We constructed the prototype of SCABS. According to the qualitative analysis and experiments based on real environment, we found that SCABS with unified access, integrated management, and edge intelligence can meet the access and management ability of multi-platform and high-density sensing resources.Conclusions: SCABS would act an essential role in the smart city perception in the future. As a cyber-physical infrastructure, it expects to cover various scenarios in the city with multiple heterogeneous perception access and hybrid access of multi-protocols, and to automatically support the multi-platform coordinated control.The SCABS meets global, accurate, heterogeneous, and multiple sensory perception. The SCABS is expected to be one of the critical infrastructures of the future smart city.
作者
陈栋
张翔
陈能成
CHEN Dong;ZHANG Xiang;CHEN Nengcheng(State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;National Engineering Research Center of Geographic Information System,Wuhan 430074,China;School of Geography and Information Engineering,China University of Geosciences(Wuhan),Wuhan 430074,China;Collaborative Innovation Center of Geospatial Technology,Wuhan 430079,China)
出处
《武汉大学学报(信息科学版)》
EI
CAS
CSCD
北大核心
2022年第2期159-180,共22页
Geomatics and Information Science of Wuhan University
基金
国家重点研发计划(2018YFB2100500)。
关键词
智慧城市
物联网
传感网
自动化决策
数字孪生
smart city
Internet of Things
sensor network
automated decision
digital twins