GB/Z 240-2026 人工智能 电力智能体通用技术要求
GB/Z 240-2026 Artificial intelligence—General technical requirements for power agent
基本信息
本文件适用于电力智能体的开发、运行和维护。
发布历史
-
2026年08月
文前页预览
研制信息
- 起草单位:
- 南方电网数字电网集团有限公司、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、国网内蒙古东部电力有限公司内蒙古超特高压分公司、华北电力科学研究院有限责任公司、国网内蒙古东部电力有限公司、广东电网有限责任公司、南方电网人工智能科技有限公司、国网电力工程研究院有限公司、南方电网科学研究院有限责任公司、中国电力科学研究院有限公司、国网山东省电力公司、广东电力人工智能试验研究院有限公司、贵州电网有限责任公司、广西大学、广西电网有限责任公司、中国大唐集团科学技术研究总院有限公司、中国南方电网有限责任公司超高压输电公司、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、国家电网有限公司西北分部、电子科技大学(深圳)高等研究院、南方电网数字电网研究院股份有限公司、国网湖北省电力有限公司电力科学研究院、智联新能电力科技有限公司、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、阿里云计算有限公司、中兴通讯股份有限公司、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、杭州海兴电力科技股份有限公司、上海人工智能研究院有限公司、国网信息通信产业集团有限公司
- 起草人:
- 陈元峰、樊友平、马珊珊、张喜铭、杨朋威、邢宁哲、赵勇、梁寿愚、李晋伟、赵瑞锋、梁凌宇、司佳钧、张自锋、吴咏君、周锐烨、李汉巨、陈晰、刘卫卫、吴观斌、李敏、徐洋、聂简荻、吴洋、纪元、钱俊凤、张镱议、刘亚雄、郭婷婷、高伟、陈欢、肖耀辉、何珏、杨军、姚永峰、荣秀婷、高振军、赵翔宇、谈继勇、郭子钊、陈浩敏、孙金莉、刘鸣柳、谈发力、彭洋、石超、王绍飞、刘文松、于小博、赵孝武、刘增志、王雯、孟琳琳、孙红燕、王咸斌、彭程威、黄永善、陈志宏、王资凯、李炳森、牟江涛
- 出版信息:
- 页数:20页 | 字数:25 千字 | 开本: 大16开
内容描述
ICS35.240
CCSL70
中华人民共和国国家标准化指导性技术文件
GB/Z240—2026
人工智能电力智能体通用技术要求
Artificialintelligence—Generaltechnicalrequirementsforpoweragent
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/Z240—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系统架构·················································································································2
5功能要求·················································································································3
5.1通用要求···········································································································3
5.2感知模块···········································································································4
5.3记忆模块···········································································································4
5.4决策与规划模块··································································································4
5.5执行模块···········································································································5
5.6交互要求···········································································································5
6质量特性要求···········································································································6
6.1通用要求···········································································································6
6.2可靠性··············································································································6
6.3易用性··············································································································6
6.4性能效率···········································································································7
6.5可移植性···········································································································7
7接口要求·················································································································7
7.1管理系统···········································································································7
7.2运行环境···········································································································7
7.3数据源··············································································································7
7.4执行工具···········································································································7
7.5中间工具···········································································································8
8安全要求·················································································································8
9应用与部署要求········································································································8
附录A(资料性)电力智能体典型应用案例·······································································9
附录B(资料性)电力智能体部分效率参数······································································10
参考文献····················································································································11
Ⅰ
GB/Z240—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:南方电网数字电网集团有限公司、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、国网内蒙古东部电力有限公司内蒙古超特高压分公司、华北电力科学研究院
有限责任公司、国网内蒙古东部电力有限公司、广东电网有限责任公司、南方电网人工智能科技有限公
司、国网电力工程研究院有限公司、南方电网科学研究院有限责任公司、中国电力科学研究院有限公
司、国网山东省电力公司、广东电力人工智能试验研究院有限公司、贵州电网有限责任公司、广西大学、
广西电网有限责任公司、中国大唐集团科学技术研究总院有限公司、中国南方电网有限责任公司超高
压输电公司、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、国家电网有限
公司西北分部、电子科技大学(深圳)高等研究院、南方电网数字电网研究院股份有限公司、国网湖北省
电力有限公司电力科学研究院、智联新能电力科技有限公司、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、阿里云计算有限公司、中兴通讯股份有限公司、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、杭州海兴电力科技股份有限公司、上海人工智能研究院有限公
司、国网信息通信产业集团有限公司。
本文件主要起草人:陈元峰、樊友平、马珊珊、张喜铭、杨朋威、邢宁哲、赵勇、梁寿愚、李晋伟、赵瑞锋、
梁凌宇、司佳钧、张自锋、吴咏君、周锐烨、李汉巨、陈晰、刘卫卫、吴观斌、李敏、徐洋、聂简荻、吴洋、
纪元、钱俊凤、张镱议、刘亚雄、郭婷婷、高伟、陈欢、肖耀辉、何珏、杨军、姚永峰、荣秀婷、高振军、赵翔宇、
谈继勇、郭子钊、陈浩敏、孙金莉、刘鸣柳、谈发力、彭洋、石超、王绍飞、刘文松、于小博、赵孝武、刘增志、
王雯、孟琳琳、孙红燕、王咸斌、彭程威、黄永善、陈志宏、王资凯、李炳森、牟江涛。
Ⅲ
GB/Z240—2026
人工智能电力智能体通用技术要求
1范围
本文件确立了电力信息系统中智能体的系统架构,规定了电力智能体的功能、质量特性、接口、安
全、应用与部署等技术要求。
本文件适用于电力智能体的开发、运行和维护。
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/T22239—2019信息安全技术网络安全等级保护基本要求
GB/T25000.10—2016系统与软件工程系统与软件质量要求和评价(SQuaRE)第10部分:
系统与软件质量模型
GB/T39477—2020信息安全技术政务信息共享数据安全技术要求
GB/T39786—2021信息安全技术信息系统密码应用基本要求
GB/T42018—2022信息技术人工智能平台计算资源规范
GB/T42151(所有部分)电力自动化通信网络和系统
GB/T43259.301—2024能量管理系统应用程序接口(EMS⁃API)第301部分:公共信息模型
(CIM)基础
GB/T45288.3—2025人工智能大模型第3部分:服务能力成熟度评估
DL/T1450—2015电力行业统计数据接口规范
DL/T1456—2015电力系统数据库通用访问接口规范
DL/T1729—2017电力信息系统功能及非功能性测试规范
DL/T1757—2017电子数据恢复和销毁技术要求
DL/T1839.1—2018电力可靠性管理信息系统数据接口规范第1部分:通用要求
DL/T2549—2022电力数据脱敏实施规范
YD/T4929—2024面向多智能体系统的计算平台技术要求
ITU⁃TF.748.46—2025基于大规模预训练模型的智能体要求和评价方法(Requirementsand
evaluationmethodsofartificialintelligenceagentsbasedonlargescalepre⁃trainedmodels)
3术语和定义
下列术语和定义适用于本文件。
3.1
智能体agent
具备环境感知、自主决策和任务执行能力的软硬件系统。
[来源:ISO/IEC22989:2022,3.1.1,有修改]
1
定制服务
推荐标准
- MT 188-1988 煤矿用乳化液泵站 1988-04-08
- GB/T 8988-1988 缩微摄影技术 检验技术图纸缩微摄影质量测试标板的制作 1988-04-11
- GB 8966-1988 白肋烟 1988-03-31
- GB/T 8990-1988 缩微摄影技术 用于“检验技术图纸缩微摄影质量测试标板”的反射率灰板 1988-04-11
- GB 8959-1988 铸造防尘技术规程 1988-04-01
- GB/T 8987-1988 缩微摄影技术 缩微摄影时检验负像光学密度用测试标板 1988-04-11
- DZ 58-1988 地质矿产部单位代码 1988-04-12
- GB 8999-1988 电离辐射监测质量保证一般规定 1988-04-12
- MT 189-1988 矿用隔爆型检漏继电器 1988-04-03
- GB/T 8937-1988 食用猪油 1988-03-30