Path: Home > GB/T > Page225 > GB/T 46351-2025

Price & Delivery

US$919.00 · In stock · Download in 9 seconds
GB/T 46351-2025: Artificial intelligence - Multi-algorithm management technical requirements
Delivery: 9 seconds. True-PDF full-copy in English & invoice will be downloaded + auto-delivered via email. See step-by-step procedure
Status: Valid

Std ID	Version	USD	Buy	Deliver [PDF] in	Title (Description)
GB/T 46351-2025	English	919	Add to Cart	7 days [Need to translate]	Artificial intelligence - Multi-algorithm management technical requirements

GB/T 46351-2025: Artificial intelligence - Multi-algorithm management technical requirements

---This is an excerpt. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.), auto-downloaded/delivered in 9 seconds, can be purchased online: https://www.ChineseStandard.net/PDF.aspx/GBT46351-2025
ICS 35.240 CCSL70 National Standards of the People's Republic of China Artificial Intelligence Multi-Algorithm Management Technology Requirements Published on 2025-10-05 Implemented on October 5, 2025 State Administration for Market Regulation The State Administration for Standardization issued a statement.

Table of Contents

Preface III 1.Scope 1 2 Normative References 1 3.Terms and Definitions 1 4.Abbreviations 1 5.Multi-Algorithm Management System Framework 1 6 Algorithm Repository 2 7.Algorithm Scheduling Service 2 8 Algorithm Packages 3 8.1 Algorithm Package Structure 3 8.2 Algorithm Package Directory 3 8.3 Algorithm Attribute Information 4 8.4 Algorithm Technical Information 5 9.Interface requirements for multi-algorithm management systems 6 9.1 Interface Overview 6 9.2 Resource Query 6 9.3 Algorithm Distribution 8 9.4 Instance Startup 10 9.5 Instance Stop 11 9.6 Algorithm Unloading 11 9.7 Task Assignment 12 9.8 Task Query 15 9.9 Task Modification 18 9.10 Status Query 20 9.11 Task Deleted 22 9.12 Task Result 23 9.13 Algorithm Retrieval 25 9.14 Algorithm Download 27 Appendix A (Informative) Example of Algorithm Encapsulation Description 28 A.1 Example of Algorithm Package Information (packageinfo.xml) 28 Appendix B (Informative) Parameter 33 B.1 General Parameters 33 B.2 Detection area 33 B.3 Shielding Area 33 B.4 Area Rule 34 B.5 Target Quantity Filtering Parameter 34 B.6 Target Size Filtering Parameter 35 B.7 Analysis of Parameter Composition and Structure 35 Appendix C (Informative) Interface Error Code 37

Foreword

This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part 1.Structure and Drafting Rules of Standardization Documents". Drafting. Please note that some content in this document may involve patents. The issuing organization of this document assumes no responsibility for identifying patents. This document was proposed and is under the jurisdiction of the National Information Technology Standardization Technical Committee (SAC/TC28). This document was drafted by. Hangzhou Hikvision Digital Technology Co., Ltd., China Electronics Technology Standardization Institute, and Sichuan University. West China Hospital, Northwestern Polytechnical University, Harbin Institute of Technology (Shenzhen), Institute of Automation, Chinese Academy of Sciences, Beijing Jiaotong University, Beijing University of Aeronautics and Astronautics Tianjin University, Zhejiang Dahua Technology Co., Ltd., Saifite Engineering Technology Group Co., Ltd., Kunlun Digital Intelligence Technology Co., Ltd., China China National Petroleum Corporation Changqing Oilfield Branch, Guoneng Information Technology Co., Ltd., Beijing Zhongshu Ruizhi Technology Co., Ltd., and Inspur Software Technology Co., Ltd., China Mobile (Hangzhou) Information Technology Co., Ltd., Hangzhou QuChain Technology Co., Ltd., Hangzhou High-tech Zone (Binjiang) Blockchain In collaboration with the Data Security Research Institute, GRG Banking Group Co., Ltd., CETC Big Data Research Institute Co., Ltd., and CETC Jinxin Software Co., Ltd. Company, Wanda Information Co., Ltd., Shanghai Computer Software Technology Development Center, Shanghai Artificial Intelligence Research Institute Co., Ltd., Shenzhen Tencent Computer Systems Co., Ltd., Inspur Electronic Information Industry Co., Ltd., Shenzhen Simou Information Technology Co., Ltd., China Mobile Communications Group Group Limited, China Telecom Corporation Limited Chongqing Branch, and Beijing Ansheng Technology Co., Ltd. The main drafters of this document are. Chen Feng, Qian Xiaodong, Ma Shanshan, Xu Yang, Cao Wenlin, Zhao Junyu, Nie Jiandi, Lin Quanyu, Xu Jiaqi, and Yin Jin. Shen Zhiyue, Wang Zhaojun, Zhang Yanning, Wu Jianlong, Nie Liqiang, Zhu Guibo, Jia Yijun, Tao Renshuai, Ma Yuqing, Kong Weisheng, Li Di, Wang Juan, Wang Xiaohong Liang Qian, Ma Tongsen, Zhang Tianlin, Xie Kailang, Li Zhaochuan, Wang Kechen, Zhang Qing, Pu Guiyang, Wang Zhongwei, Du Jingyi, Wei Zunbo, Hu Wenkui, Cai Huimin Lü Yiliang, Zhang Jingyi, Chen Mingang, Song Haitao, Wang Zikai, Huang Chao, Lu Lu, Liu Shu, Qin Rizhen, Lai Su, Wang Chenzi, Liu Yifan, Wang Song. Artificial Intelligence Multi-Algorithm Management Technology Requirements 1.Scope This document establishes the framework for a multi-algorithm management system, specifying the algorithm repository, algorithm scheduling service, algorithm packages, and the multi-algorithm management system interface. Technical requirements. This document applies to the design, research, development, implementation, deployment, acceptance, and evaluation of multi-algorithm management systems.

2 Normative references

The contents of the following documents, through normative references within the text, constitute essential provisions of this document. Dated citations are not included. For references to documents, only the version corresponding to that date applies to this document; for undated references, the latest version (including all amendments) applies. This document. GB/T 41867-2022 Terminology for Information Technology and Artificial Intelligence 3.Terms and Definitions The terms and definitions defined in GB/T 41867-2022, as well as the following terms and definitions, apply to this document. 3.1 Multi-algorithm management Manage algorithms from different manufacturers, with different functions, on different platforms, and in different versions. 3.2 algorithm model A model is a model built by training on a dataset using a specific machine learning algorithm, including the model structure and parameters. 3.3 Algorithm task The process by which an application system uses intelligent algorithms to process and analyze data. Note. Taking images as an example, the algorithm tasks include image recognition, image classification, object detection, and image retrieval. 4.Abbreviations The following abbreviations apply to this document. SoC. System-on-Chip 5.Multi-Algorithm Management System Framework A multi-algorithm management system is a software system capable of algorithm management (add, delete, modify, query) and algorithm scheduling, consisting of an algorithm repository and an algorithm scheduling service. ...