T/CICC 3702-2022 Urban Brain Top-Level Planning and Overall Architecture
T/CICC 3702-2022
Basic Information
Scope
Scope: This document specifies the top-level planning requirements and overall architecture of the Urban Brain. This document is applicable to the research, planning, and implementation of the Urban Brain system; Main technical content: In January 2009, IBM first proposed the concept of "Smart Earth", which led to the concept of "Smart City", which greatly promoted the modernization process of cities around the world. However, the development direction of Smart Cities has been unclear all along, and there is still a lack of unified construction standards internationally. At the same time, how Smart Cities generate intelligence has always been the core issue of concern in the industry. The theoretical basis of this document is the Internet Brain Model. The model argues that since the 21st century, the world's digital technology field centered on the Internet is forming different-scale "Big Brain" systems. Among them, the Internet Brain forms the world's digital brain by integrating with human society, and forms the Urban Brain by integrating with Smart Cities. Therefore, this standard plans the Urban Brain as a subset of the world's digital brain. This document believes that the Urban Brain is a complex, wide-ranging, and large-area urban-level complex brain system with a broad application scope. Its components should include but are not limited to the urban intelligent management center, neuron network, cloud reflex arc, sensory nervous system, and motor nervous system, etc., and cannot be simply equated with the urban intelligent management center. Based on the Internet Brain Model, this document forms a 1+2+N Urban Brain construction framework. Among them, 1 represents the construction of a unified digital neuron network worldwide; 2 represents the combination of human intelligence and machine intelligence to drive the operation of the Urban Brain; N represents various digital neurons forming N cloud reflex arcs through division of labor and collaboration to solv