标准解读

《GB/T 44407-2024 智能服务 预测性维护 虚拟维护系统技术要求》这一标准文件,专注于为智能服务领域中的预测性维护解决方案提供一套详细的规范和指导原则,特别是针对虚拟维护系统的设计与实施。该标准旨在确保此类系统能够高效、准确地预测设备故障、优化维护计划,并通过数字化手段模拟实体维护过程,从而提高维护效率,减少停机时间,降低成本。

标准内容概览包括但不限于以下几个核心方面:

  1. 范围界定:明确标准适用的智能服务领域及预测性维护中虚拟维护系统的具体应用场景,如制造业、能源、交通等行业中的关键设备维护。

  2. 术语定义:对预测性维护、虚拟维护系统、传感器数据、算法模型等相关专业术语给出清晰的定义,确保行业内沟通的一致性和准确性。

  3. 技术要求

    • 数据采集与处理:规定了数据采集的频率、精度要求以及数据预处理方法,强调利用物联网(IoT)技术收集设备运行状态数据。
    • 预测模型构建:阐述了如何基于机器学习、人工智能算法建立故障预测模型,要求模型具备高准确性、可解释性,并能随时间自我优化。
    • 虚拟仿真:描述了虚拟环境的搭建标准,应能真实反映设备状态变化及维护操作过程,支持远程诊断与培训。
    • 系统集成与互操作性:要求虚拟维护系统需易于与其他IT系统(如ERP、CMMS)集成,遵循开放标准以促进数据交换和流程协同。
  4. 安全与隐私保护:强调在数据收集、存储、处理过程中必须遵守相关法律法规,确保数据的安全性与用户隐私保护。

  5. 性能评估与持续改进:设定评估虚拟维护系统效能的关键指标,如预测准确率、响应时间、系统稳定性等,并鼓励采用持续改进机制,不断提升服务质量。

  6. 实施指南与案例参考:虽然通常标准不会包含详细实施步骤,但可能提供原则性指导或成功案例概述,帮助企业和组织更好地理解和应用这些要求。


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

ICS

25.040.40

CCS

N19

中华人民共和国国家标准

GB/T44407—2024

智能服务预测性维护

虚拟维护系统技术要求

Intelligentservice—Predictivemaintenance—

Requirementofvirtualmaintenancesystem

2024-08-23发布2025-03-01实施

国家市场监督管理总局发布

国家标准化管理委员会

GB/T44407—2024

目次

前言

·····································································································

1

范围

··································································································

1

2

规范性引用文件

······················································································

1

3

术语和定义

···························································································

1

4

工作流程

······························································································

2

5

系统框架

······························································································

2

6

基础设施要求

·························································································

3

6.1

建模开发工具

····················································································

3

6.2

交互设备

·························································································

3

6.3

网络通信

·························································································

3

6.4

系统接口

·························································································

4

6.5

安全管理

·························································································

4

7

数据要求

······························································································

4

7.1

数据管理

·························································································

4

7.2

样机数据

·························································································

4

7.3

环境数据

·························································································

4

7.4

操作者模型数据

·················································································

5

7.5

过程数据

·························································································

5

7.6

安全相关数据

····················································································

5

8

建模要求

······························································································

5

8.1

模型管理

·························································································

5

8.2

样机建模

·························································································

5

8.3

环境建模

·························································································

6

8.4

操作者建模

······················································································

6

8.5

过程建模

·························································································

6

8.6

安全要素建模

····················································································

7

9

系统功能要求

·························································································

7

9.1

维护管理与方案规划

·············································································

7

9.2

维护方案验证与优化

·············································································

8

9.3

维护能力培训

····················································································

9

参考文献

································································································

10

GB/T44407—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。

本文件由中国机械工业联合会提出。

本文件由全国工业过程测量控制和自动化标准化技术委员会(SAC/TC124)归口。

本文件起草单位:机械工业仪器仪表综合技术经济研究所、上海华兴数字科技有限公司、西南交通

大学、武汉东研智慧设计研究院有限公司、中国石油大学(北京)、清华大学、北京卫星环境工程研究

所、上海应用技术大学、杭州三海电子科技股份有限公司、重庆邮电大学、中广核研究院有限公司、

南昌大学、斯凯孚(中国)有限公司、西门子(中国)有限公司、舍弗勒贸易(上海)有限公司、频率

探索智能科技江苏有限公司、硕橙(厦门)科技有限公司、航天智控(北京)监测技术有限公司、杭州

安脉盛智能技术有限公司、浙江机至数字科技有限公司、京智测维(北京)技术有限公司、中移(上海)

信息通信科技有限公司、重庆盟讯电子科技有限公司、上海电气集团股份有限公司中央研究院、

施耐德电气(中国)有限公司、中国科学院合肥物质科学研究院、江西省工业和信息化研究院、北京奔

驰汽车有限公司、北京角动力技术有限公司、无锡职业技术学院、北京广利核系统工程有限公司、丹东

华通测控有限公司、西安因联信息科技有限公司、上海市航数智能科技有限公司、北京博华信智科技股

份有限公司、中国工程物理研究院动力部、武汉中云康崇科技有限公司、北京天泽智云科技有限公司、

清华大学山西清洁能源研究院、华北电力科学研究院有限责任公司、台达电子企业管理(上海)有限公

司、一汽解放汽车有限公司、南京高精齿轮集团有限公司、青海大学、郑州奥特科技有限公司、西安华

云智联信息科技有限公司。

本文件主要起草人:王凯、郭亮、朱超、王成城、魏坤仑、王金江、游和平、张飞斌、苏新明、

徐彬、唐环、黄庆卿、黄自平、刘建胜、王永年、翁良、周林飞、宋鹏、孟力、朴永焕、彭六保、

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王骏、石桂连、杨炳春、高宏力、张开桓、秦泰春、孟繁林、李芳、张鹏飞、李祎文、邬知衡、

罗久飞、王蓬、田秦、袁啸林、刘洪刚、朱志平、宁国云、张晓、安方、方正飞、杨振勇、韩飞、

张栋梁、董明磊、王鹏、王建新、王正龙、李世斌、钟伯录、任志刚。

GB/T44407—2024

智能服务预测性维护

虚拟维护系统技术要求

1范围

本文件规定了智能服务预测性维护中虚拟维护系统的工作流程、系统框架、基础设施要求、数据要

求、建模要求、系统功能要求等。

本文件适用于虚拟维护系统的设计、开发、使用和维护等。

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/T40571—2021智能服务预测性维护通用要求

3术语和定义

GB/T40571—2021界定的以及下列术语和定义适用于本文件。

3.1

虚拟维护系统virtualmaintenancesystem

利用虚拟维护硬件,采用虚拟现实或增强现

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