标准解读

《GB/Z 233-2026 人工智能 电力大模型系统技术要求》是一项指导性国家标准,旨在为电力行业开发和应用基于人工智能的大规模模型提供一套全面的技术规范。该标准覆盖了从模型设计到部署的全过程,强调了安全性、可靠性以及效率的重要性。

在安全方面,标准明确了数据保护措施,包括但不限于个人隐私信息的处理原则与方法,确保所有操作符合国家相关法律法规的要求。同时,还对系统防御能力提出了具体要求,以防止外部攻击导致的信息泄露或服务中断等问题。

对于可靠性,《GB/Z 233-2026》规定了电力大模型需要具备的高度稳定运行的能力,在面对各种复杂环境变化时仍能保持良好的性能表现。此外,也强调了故障恢复机制的设计,确保即使发生异常情况也能快速恢复正常工作状态。

效率方面,则是从计算资源利用率角度出发,鼓励采用先进的算法和技术手段来优化模型结构,减少不必要的运算开销,从而提高整体工作效率。同时,还提倡建立有效的监控体系,以便于及时发现并解决潜在问题,保证系统的长期高效运转。

此外,该标准还特别关注了人机交互界面的设计,提倡简洁直观的操作方式,使得非专业用户也能轻松上手使用。通过这种方式,不仅能够提升用户体验,也有利于促进人工智能技术在电力领域的广泛普及与深入应用。


如需获取更多详尽信息,请直接参考下方经官方授权发布的权威标准文档。

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文档简介

ICS35.240

CCSL70

中华人民共和国国家标准化指导性技术文件

GB/Z233—2026

人工智能电力大模型系统技术要求

Artificialintelligence—Technicalrequirementsforsystemoflarge⁃scalemodel

ofpowerindustry

2026⁃08⁃27发布

国家市场监督管理总局

国家标准化管理委员会发布

GB/Z233—2026

目次

前言··························································································································Ⅲ

1范围·······················································································································1

2规范性引用文件········································································································1

3术语和定义··············································································································1

4缩略语····················································································································2

5系统框架·················································································································2

5.1概述·················································································································2

5.2基础资源层········································································································3

5.3平台层··············································································································3

5.4服务层··············································································································3

5.5应用层··············································································································3

5.6安全要求···········································································································3

6功能要求·················································································································3

6.1基础资源层········································································································3

6.2平台层··············································································································4

6.3服务层··············································································································6

6.4应用层··············································································································9

7安全要求···············································································································10

7.1基础资源··········································································································10

7.2数据················································································································10

7.3模型················································································································10

7.4训练与运行平台·································································································10

7.5应用················································································································11

GB/Z233—2026

前言

本文件为规范类指导性技术文件。

本文件按照GB/T1.1—2020《标准化工作导则第1部分:标准化文件的结构和起草规则》的规定

起草。

请注意本文件的某些内容可能涉及专利。本文件的发布机构不承担识别专利的责任。

本文件由全国信息技术标准化技术委员会(SAC/TC28)提出并归口。

本文件起草单位:南方电网数字集团有限公司、武汉大学、中国电子技术标准化研究院、中国南方

电网有限责任公司、中国电力科学研究院有限公司、国网电力工程研究院有限公司、广东电网有限责任

公司、广东电力人工智能试验研究院有限公司、中国南方电网有限责任公司超高压输电公司、南方电网

科学研究院有限责任公司、国家电网有限公司西北分部、贵州电网有限责任公司、中国大唐集团科学研

究总院有限公司、广西电网有限责任公司、国网山东省电力公司、国网吉林省电力有限公司建设分公

司、南方电网人工智能科技有限公司、南方电网数字电网研究院股份有限公司、云南电网有限责任公司

数智运营中心、国网青海省电力公司电力科学研究院、国网河南省电力公司新乡供电公司、国网安徽省

电力有限公司经济技术研究院、国网湖北省电力有限公司电力科学研究院、南京南瑞瑞腾科技有限

责任公司、国电南瑞科技股份有限公司、中兴通讯股份有限公司、上海人工智能研究院有限公司、电子

科技大学(深圳)高等研究院、北京百度网讯科技有限公司、杭州海康威视数字技术股份有限公司、安徽

优旦科技股份有限公司、智联新能电力科技有限公司。

本文件主要起草人:梁寿愚、樊友平、徐洋、李晋伟、蔡卓骏、赵晓玮、刘卫卫、司佳钧、赵瑞锋、

胡亚平、吴洋、王宁、张自锋、石嘉豪、陈元峰、邓军、荣秀婷、褚云龙、张春梅、纪元、郭婷婷、帅超、马珊珊、

聂简荻、刘亚雄、吴观斌、方苏、李强、韩骁飞、吴咏君、李汉巨、彭程威、梁凌宇、王咸斌、张航、胡忠山、

杨军、姚永峰、雷朝煜、王振、张辉、刘鸣柳、孙金莉、王绍飞、刘文松、赵孝武、宋海涛、谈继勇、刘增志、

王雯、苏鹤年、谈发力、殷志江。

GB/Z233—2026

人工智能电力大模型系统技术要求

1范围

本文件确立了电力大模型的系统框架,规定了电力大模型系统的技术要求。

本文件适用于电力大模型系统设计、开发与部署,为电力大模型系统测评提供指导。

2规范性引用文件

下列文件中的内容通过文中的规范性引用而构成本文件必不可少的条款。其中,注日期的引用文

件,仅该日期对应的版本适用于本文件;不注日期的引用文件,其最新版本(包括所有的修改单)适用于

本文件。

GB/T20272—2026网络安全技术操作系统安全技术要求

GB/T22239—2019信息安全技术网络安全等级保护基本要求

GB/T31168—2023信息安全技术云计算服务安全能力要求

GB/T35273—2020信息安全技术个人信息安全规范

GB/T35274—2023数据安全技术大数据服务安全能力要求

GB/T36639—2018信息安全技术可信计算规范服务器可信支撑平台

GB/T37138—2018电力信息系统安全等级保护实施指南

GB40050—2021网络关键设备安全通用要求

GB/T42755—2023人工智能面向机器学习的数据标注规程

GB/T45288.1—2025人工智能大模型第1部分:通用要求

GB45438—2025网络安全技术人工智能生成合成内容标识方法

GB/T45654—2025网络安全技术生成式人工智能服务安全基本要求

GB/Z240—2026人工智能电力智能体通用技术要求

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