T/CICC 3703-2022 Abolished Group standards

T/CICC 3703-2022 City Brain Digital Neuron Basic Regulations

Publish Date: 2022-08-28 Implement Date: 2022-08-28 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/CICC 3703-2022

Standard Type: Group standards

Standard Status: Abolished

is_force_gb: no

CCS Name: -

ICS Name: Integrated Information Technology (IT)

Publish Date: 2022-08-28

Implement Date: 2022-08-28

Scope

Scope: This document specifies the types, relationships, and basic functions of digital neurons in the Urban Brain. This document is applicable to the research and construction of digital neurons in the Urban Brain; Main technical content: 4 types and relationships Digital neuron types The Urban Brain can map associated objects to digital neuron types, requiring that the types divided among them have clear distinguishing features and theoretically cover all possible associated objects in the Urban Brain. According to the mapped objects, digital neurons can be divided into the following types: a) Human neurons: Elementary subjects with clear nationality or biologically identifiable as humans, such as residents, workers, managers, service personnel, etc. A single urban human neuron corresponds to 1 human element. b) Physical neurons: All objects in the real world except humans, such as sensors, cloud robots, smart cars, drones, household appliances, buildings, various animals and plants, or other organisms, etc. A single physical neuron corresponds to 1 physical element. c) Program neurons: Various intelligent system programs that exist only in virtual digital spaces, such as artificial intelligence data processing systems, artificial intelligence security systems, automatic guardian systems, web spiders, cloud reflex arc path judgment programs, automatic question-answering programs, etc. A single program neuron corresponds to 1 program element. d) Organizational neurons: The elements included can come from one of humans, physical objects, or intelligent systems, or from a combination of them. The corresponding object elements are greater than or equal to 2. Relationships between digital neurons The functional inter-governance relationships between digital neurons when they work together. It is required that each relationship have clear distinguishing features and cover all possible types. The relationships between digital neurons include complete co