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GB/T 45728-2025Internet of things — Crowd-sensing — Technical architecture (English PDF)

物联网 群智感知 技术架构

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Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

May 30, 2025

Implementation date

December 1, 2025

Scope

GB/T 45728-2025 is the English-translated version of 物联网 群智感知 技术架构.

GB/T 45728-2025 is the Chinese national standard covering sensing work spread across the devices people already carry — the components of the architecture and the data and instruction flows between them, the construction of the agents and the management of heterogeneous ones that were never built to work together, the data compression, privacy protection and quality assessment applied before anything is shared, and the collaborative reasoning that filters and fuses the readings and allocates and schedules the tasks. First edition, with the terminology standard GB/T 33745-2025. In force from 1 December 2025. Issued on 30 May 2025, it has been in force since 1 December 2025.

Document preview — GB/T 45728-2025

National Standard of the People's Republic of China

ICS
35.020
Classification
L 79

Issued by: State Administration for Market Regulation; Standardization Administration of the PRC

Contents

  • PrefaceIII
  • 1 Scope1
  • 2 Normative references1
  • 3 Terms and Definitions1
  • 4 Abbreviations2
  • 5 Technical Architecture2
  • 5.1 Component2
  • 5.2 Data Flow and Instruction Flow4
  • 6 Agent Construction4
  • 7 Agent Management5
  • 7.1 Overview5
  • 7.2 Access to Heterogeneous Agents5
  • 7.3 Agent Attributes and Constraint Management5
  • 7.4 Agent Interaction Management5
  • 7.5 Agent Availability Management6
  • 7.6 Agent Interoperability Mechanism6
  • 8 Data Processing6
  • 8.1 Overview6
  • 8.2 Data Compression6
  • 8.3 Data Privacy Protection6
  • 8.4 Data Quality Assessment7
  • 8.5 Data collection and storage7
  • 8.6 Data unified interface7
  • 8.7 Data Structure Division7
  • 8.8 Data Sharing8
  • 9 Group Intelligence Collaborative Reasoning8
  • 9.1 Overview8
  • 9.2 Platform Energy Efficiency Optimization8
  • 9.3 Data Filtering8
  • 9.4 Data Fusion8
  • 9.5 Collaborative Decision Making Reasoning9
  • 9.6 Group Intelligence Task Allocation10
  • 9.7 Task Collaborative Scheduling10
  • 9.8 Task performance optimization10
  • Appendix A (Informative) Typical Application Cases of Crowd Intelligence Perception11
  • A.1 Application of crowd intelligence perception in navigation and positioning11
  • A.2 Application of crowd intelligence perception in air-ground collaborative cluster rescue12
  • Reference14

Foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for standardization work Part 1: Structure and drafting rules for standardization documents" Drafting.

Please note that some of the contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents.

This document was proposed and coordinated by the National Information Technology Standardization Technical Committee (SAC/TC28).

This document was drafted by: Northwestern Polytechnical University, China Electronics Technology Standardization Institute, Xi'an Aerospace Automation Co., Ltd., Shenzhen CESI Information Technology Co., Ltd., Jiangsu CESI Technology Development Co., Ltd., Xidian University, Northwest University, Tianjin Kunpeng Information Technology Co., Ltd., Wuxi Internet of Things Innovation Center Co., Ltd., China Water Information Technology (Wuhan) Co., Ltd., Chongqing Quality and Standardization Research Institute, Shenmu Information Industry Development Group Co., Ltd., Harbin Engineering University, Institute of Automation, Chinese Academy of Sciences, Beijing University of Posts and Telecommunications, Chengdu Qin Sichuan Internet of Things Technology Co., Ltd., China Mobile (Hangzhou) Information Technology Co., Ltd., Fuzhou University, Shenzhen Yunliwuli Technology Co., Ltd. company.

The main drafters of this document are: Yu Zhiwen, Lei Gen, Yang Huijia, Yang Hong, Liang Yunji, Zhang Jianqi, Su Jingru, Tao Yi, Guo Xiong, Li Qingyang, Yin Xiaoyan, Zhang Hui, Li Yinglong, Dong Jielian, Hu Chengsheng, Yu Nengchao, Liu Shengqiang, Song Hongtao, He Saike, Zhou Anfu, Shao Zehua, Wang Zhaoxu, Yu Zhiyong, Zhang Min, Li Runze, Liang Yanju, Tian Yue, Zhang Cheng, Li Bo, Han Qilong, Zhang Peijie, Zhang Huanhuan, Liang Yongzeng, Jia Jingrun, Huang Fangwan, Zhao Jun.

IoT crowd-sensing technology architecture

1 Scope

This document establishes the technical architecture of the Internet of Things crowd intelligence perception, and stipulates the construction and management of intelligent agents in the Internet of Things crowd intelligence perception technical architecture.

Management, data processing, and group intelligence collaborative reasoning requirements.

This document is applicable to the research, development and use of IoT crowd-sensing technology.

2 Normative references

GB/T 41780.1-2022

GB/T 41782.2-2022

GB/T 42564-2023

3 Terms and definitions

The following terms and definitions apply to this document.

3.1 Sensing terminal sensing terminal

A device that can collect information and/or perform operations on objects or environments and can communicate via the Internet.

[Source. GB/T 37093-2018, 3.3]

3.2 terminal device

A device with computing capabilities that can establish a communication connection directly with the service platform through an upstream interface.

[Source. GB/T 40027-2021, 3.1]

3.3 Agent

Terminal devices that can perceive the external environment, guide their own behavior decisions through learning or reasoning, and take actions to achieve specific goals. system.

Note. In the context of the Internet of Things, an intelligent agent is usually composed of two parts. a physical entity and its corresponding intelligent algorithm program.

Intelligent devices, intelligent robots or intelligent computer systems, etc.

3.4 Heterogeneous agent

A collection of intelligent agents with different parameters and performance, data or interface heterogeneity, created using different technologies and platforms.

3.5 Sensing data

A general term for raw data acquired through data collection or data representing object information that has been processed on this basis.

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 20 pages — is available in the English PDF.

Referenced standards

Editions of GB/T 45728

EditionTitleRevisionStatus
GB/T 45728-2025Internet of things - Crowd-sensing - Technical architecturecurrent editionCurrent

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