IEEE Spectrum 白皮书：边缘 AI 如何让智慧城市走向认知城市
Edge AI for Smart Cities: From Real-Time Insights to Cognitive Urban Systems - Wiley Science and Engineering Content Hub
IEEE Spectrum 发布白皮书，介绍边缘 AI 与物理 AI 如何让城市基础设施从被动监测转向感知、推理并实时行动。白皮书称边缘 AI 支持低延迟决策、把敏感数据留在城市边界内，并降低对中心化云的依赖；计算机视觉、多模态感知与生成式、智能体系统可协同支撑公共安全、出行和基础设施管理。文中还描述了一种分层边缘架构，在远边缘、区域和云层之间分配监测、规划与行动任务。
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This white paper explains how edge AI and physical AI help cities move beyond passive monitoring. It shows how urban infrastructure can sense, reason, and act on real-time conditions across public safety, mobility, and infrastructure management.
What you will learn about:
How the shift from smart cities to cognitive cities depends on infrastructure that reasons and acts, rather than infrastructure that only monitors.
Why edge AI supports low-latency decisions, keeps sensitive data within city boundaries, and reduces dependency on centralized cloud infrastructure.
How computer vision, multimodal sensing, and generative and agentic systems work together to support public safety, mobility, and infrastructure applications.
How a tiered edge architecture assigns monitoring, planning, and action tasks across the far edge, regional, and cloud layers, and what durability, security, and interoperability requirements this places on hardware and software.
More Information
Smart city deployments have historically relied on cameras, sensors, and dashboards that capture data without delivering timely insight. Edge AI changes this by letting inference happen close to where data is generated. This supports faster decisions, stronger data sovereignty, and lower operating costs than cloud-only designs. This guide traces the progression from automation and perception to prediction, agentic coordination, and physical AI, where urban systems continuously perceive conditions, reason about them, and act within a tiered edge architecture spanning far-edge sensors, regional infrastructure, and the cloud. It also outlines the durability, security, and interoperability requirements that production-grade edge hardware and software must meet to support public safety, mobility, and infrastructure use cases at city scale.
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IEEE Spectrum Magazine, the flagship publication of the IEEE, explores the development, applications and implications of new technologies. It anticipates trends in engineering, science, and technology, and provides a forum for understanding, discussion and leadership in these areas.
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