The super metropolitan cluster is rising with the acceleration of urbanization.Technologies such as the Internet of Things,artificial intelligence,and big data are rapidly permeating the construction of city infrastructure,making smart cities a promising new field of interdisciplinary research.However,existing smart city solutions are typically customized for individual cities and lack a comprehensive intelligent perception of city operation and multi-regional coordination capabilities in practical applications.This paper proposes a visual end-edge-cloud(E2C)fusion architecture for the collaborative development of smart city clusters.Firstly,the new quality productive forces promoting the information infrastructure of smart cities are distilled into five-dimensional features:computability,transmission-utility,data-utility,intelligence-utility,and vision-utility.By constructing a hierarchical visual end-edge-cloud architecture among cities and intercity connectivity,the proposed solution addresses data interworking bottlenecks and breaks down intercity information islands,enhancing the flexibility and reliability of comprehensive systems.Additionally,feature-reconstruction-based resource-sharing techniques,cross-domain collaborative optimization for large-scale groups,and evolving complex city networks are introduced.These innovations enable intelligent connectivity among city clusters,forming a city-network architecture characterized by interworking,commonality,and sharing.This architecture supports smart city clusters in performing cross-scenario,precise,and real-time dynamic computations using visual data.This paper aims to provide a comprehensive technical architecture and solution for the development of smart city clusters to support the coordinated evolution of super metropolitan clusters.
关键词
视觉端边云/端边云系统/智慧城市群/智能系统/视觉计算
Key words
visual end-edge-cloud/end-edge-cloud system/smart city clusters/intelligent system/visual computing
万方数据