鉴于云边协同智能算力网络对未来城市发展的重要作用和深远意义,从理论和实践两方面分析城市中心化与分布式协同人工智能算力网络在未来城市发展中的关键作用。以北京市为例,设计人工智能算力“中心化核心枢纽+分布式边缘节点”的协同架构创新方案,发现中心化智能算力以其强大的计算能力,支撑城市大脑、复杂治理模型和大规模产业升级等宏观应用,是城市经济增长和创新驱动的核心引擎。而去中心化边缘智能算力则以其低延迟、高隐私性和本地化处理优势,赋能智能家居、个人健康监测和实时交通管理等微观应用,直接提升居民生活品质和城市运行的即时响应能力。因此,云边协同智能算力网络是应对现代城市复杂挑战、实现智能化升级的必然趋势,其不仅能显著提升城市运行效率和精细化治理水平,还能驱动数字经济增长和产业智能化升级,并有效优化公共服务,全面提升居民生活品质,对城市发展影响深远。
Given the crucial role and profound significance of cloud-edge collaborative intelligent computing networks for future urban development, this analysis examines the key functions of both centralized and distributed cooperative AI computing power networks in future cities from theoretical and practical perspectives. Taking Beijing as an example, it designs an innovative collaborative architecture scheme of AI computing power featuring a "centralized core hub + distributed edge nodes". The study finds that centralized intelligent computing, with its powerful computational capabilities, supports macro-level applications such as urban digital brains, complex governance models, and large-scale industrial upgrades, serving as a core engine for urban economic growth and innovation-driven development. In contrast, decentralized edge intelligent computing leverages its advantages of low latency, high privacy, and localized processing to empower micro-level applications like smart homes, personal health monitoring, and real-time traffic management, directly enhancing residents’ quality of life and the city’s instant response capabilities. Therefore, the cloud-edge collaborative intelligent computing network represents an inevitable trend for addressing the complex challenges of modern cities and achieving intelligent transformation. It not only significantly improves urban operational efficiency and refined governance but also drives the growth of the digital economy, promotes industrial intelligent upgrading, optimizes public services, and comprehensively elevates residents’ quality of life, exerting a far-reaching impact on urban development.
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