标准解读

GB/T 44280-2024《工业互联网平台 监测分析指南》是中国针对工业互联网领域发布的一项重要国家标准,旨在为工业互联网平台的监测与数据分析提供一套规范化的指导框架。该标准详细阐述了如何在工业互联网平台上实施有效的监测机制和数据分析方法,以提升生产效率、优化运营决策、保障系统安全及促进智能化转型。以下是标准的核心内容概述:

  1. 范围定义:标准明确了适用范围,即适用于基于工业互联网平台的数据采集、处理、分析及应用的全过程,覆盖制造业、能源、交通等多个行业领域的工业互联网平台。

  2. 术语和定义:为确保行业内沟通的一致性,标准首先对工业互联网平台、监测、数据分析等相关术语进行了明确界定。

  3. 监测体系构建:提出了建立全面监测体系的要求,包括数据源管理、数据质量控制、实时监控与预警机制的建立。强调了数据采集的全面性、准确性和实时性,以及监测指标体系的科学设定。

  4. 数据分析方法:介绍了多种适用于工业互联网的数据分析技术,如统计分析、机器学习、深度学习等,指导企业如何根据业务需求选择合适的方法进行数据挖掘和模式识别,以发现生产过程中的潜在问题和优化机会。

  5. 性能与安全监测:特别强调了对平台性能和安全的监测,要求定期评估系统的稳定性、响应时间、负载能力等性能指标,并实施网络安全监测,防范数据泄露、网络攻击等安全风险。

  6. 能效与环境监测:鼓励工业互联网平台集成能效管理和环境监测功能,通过数据分析优化资源利用,减少能耗,促进可持续发展。

  7. 案例与最佳实践:虽然标准本身可能不直接包含具体案例,但鼓励参考行业内外的成功案例,学习并采纳最佳实践,以持续优化监测分析流程和提高分析效能。

  8. 合规性与隐私保护:强调在数据采集、处理、分析过程中必须遵守相关法律法规,保护个人隐私和企业敏感信息,确保数据使用的合法合规。

  9. 持续改进机制:提倡建立反馈与优化机制,基于监测分析结果不断调整策略,迭代升级平台功能,实现持续改进和创新。


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

ICS35.240.50

CCSL67

中华人民共和国国家标准

GB/T44280—2024

工业互联网平台监测分析指南

Industrialinternetplatform—Guidanceformonitoringandanalysis

2024⁃08⁃23发布2024⁃12⁃01实施

国家市场监督管理总局

国家标准化管理委员会发布

GB/T44280—2024

目次

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

引言··························································································································Ⅳ

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

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

3术语、定义和缩略语···································································································1

3.1术语和定义········································································································1

3.2缩略语··············································································································1

4工作原则·················································································································1

5工作流程·················································································································1

6明确实施目标···········································································································2

6.1确定实施目标·····································································································2

6.2设计产品目录·····································································································2

7确定样本范围···········································································································2

8构建指标体系···········································································································2

9制定技术方案···········································································································7

9.1确认实施步骤·····································································································7

9.2制定接口规范·····································································································7

10开展数据对接·········································································································7

11分析监测数据·········································································································8

11.1数据汇总分析····································································································8

11.2数据产品研制····································································································8

11.3数据辅助决策····································································································8

12推动持续改进·········································································································9

附录A(资料性)工业设备分类······················································································10

附录B(资料性)工业模型分类······················································································11

附录C(资料性)工业行业分类······················································································12

参考文献····················································································································13

GB/T44280—2024

前言

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。

本文件由中华人民共和国工业和信息化部提出。

本文件由全国信息化和工业化融合管理标准化技术委员会(SAC/TC573)归口。

本文件起草单位:国家工业信息安全发展研究中心、中国信息通信研究院、中国工业互联网研究

院、中国电子信息产业发展研究院、满缘红(深圳)质量技术创新发展有限公司、航天云网科技发展有限

责任公司、浪潮云洲(山东)工业互联网有限公司、上海理想信息产业(集团)有限公司、卡奥斯工业智能

研究院(青岛)有限公司、云镝智慧科技有限公司、用友网络科技股份有限公司、重庆忽米网络科技有限

公司、北京百度网讯科技有限公司、国能大渡河大数据服务有限公司、中缆网信息科技(山东)有限公

司、上海质量管理科学研究院有限公司、山东青鸟工业互联网有限公司、博智安全科技股份有限公司、

广电计量检测集团股份有限公司、广东电网有限责任公司广州供电局、浙江江山变压器股份有限公司、

利维智能(深圳)有限公司、宁波聚轩信息科技有限公司、中山市科彼特自动化设备有限公司。

本文件主要起草人:肖琳琳、夏宜君、郭晁煜、黄洁、王睿哲、张孟哲、祝托、田洪川、杨昊亭、田野、

杜栋栋、杨春立、王柯懿、王婷婷、王美荣、倪廓阔、李清敏、乔睿、朱永伟、温思超、肖雪、马思明、陈国润、

盛国军、郭慧、罗迪锋、王勇、姜仁杰、李硕、李君、满敏、罗玮、翟建飞、王金德、苏冠群、傅涛、明志茂、

赵可沦、卢有飞、姜振军、李惠军、周卫平、周珂。

GB/T44280—2024

引言

工业互联网平台作为新一代信息技术与制造业深度融合的产物,是促进工业经济全要素、全产业

链、全价值链深度互联,驱动实体经济数字化转型的关键支撑。当前,我国工业互联网平台加速发展,

平台应用广度与深度不断提升,全面掌握发展基础、应用成效、生态服务、经济运行等工业互联网平台

总体发展态势意义重大。因此,亟须建立一套统一、规范化和可操作的监测分析流程及指标体系,为各

行业、各区域产业运行监测分析提供参考。

本文件是工业互联网平台管理体系系列标准化文件之一。

与本文件相关的标准化文件包括:

——GB/T41870—2022工业互联网平台企业应用水平与绩效评价;

——GB/T23031.1—2022工业互联网平台应用实施指南第1部分:总则。

GB/T44280—2024

工业互联网平台监测分析指南

1范围

本文件描述了工业互联网平台监测分析目标制定、样本范围确定、指标体系构建、技术方案制定的

方法,提供了监测数据对接、监测数据分析和监测数据管理等方面的内容。

本文件适用于不同规模、类型和性质的组织科学有效地开展监测分析工作,构建监测分析体系。

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/T23000信息化和工业化融合管理体系基础和术语

3术语、定义和缩略语

3.1术语和定义

GB/T23000界定的术语

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