T/CAMS 171-2023 智能服务 预测性维护 系统功能要求

ICS25.040.40

CCSN19

团体标准

T/CAMS171—2023

智能服务预测性维护系统功能要求

Intelligentservices—Predictivemaintenance—Systemfunctionalrequirements

2023-09-25发布2023-11-01实施

中国机械工业标准化技术协会发布

T/CAMS171—2023

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总则··························································································································2

5.1系统架构···············································································································2

5.2网络构建···············································································································3

5.3功能模型···············································································································3

6功能要求····················································································································4

6.1概述·····················································································································4

6.2设备运行数据采集···································································································4

6.3设备运行状态监测与识别··························································································5

6.4设备故障诊断·········································································································5

6.5设备寿命预测·········································································································5

6.6设备维护管理·········································································································5

6.7系统通用管理·········································································································5

附录A（资料性）智能服务预测性维护系统与设备间的通信接口·············································6

A.1实时状态信息上传接口····························································································6

A.2故障预报警模型下发接口·························································································6

A.3故障诊断评价上传接口····························································································7

A.4优化模型下发接口··································································································7

A.5故障诊断结果上传接口····························································································9

A.6设备寿命预测上传接口····························································································9

A.7预测性维护计划完成情况上传接口···········································································10

A.8维护支持下发接口································································································11

图1预测性维护系统架构·································································································3

图2预测性维护系统功能模型图························································································4

表A.1设备实时状态信息接口表························································································6

表A.2故障预报警模型接口表···························································································7

表A.3故障诊断评价接口表······························································································7

表A.4优化模型下发接口表······························································································8

I

T/CAMS171—2023

表A.5故障诊断结果上传接口表························································································9

表A.6设备寿命预测上传接口表······················································································10

表A.7预测性维护计划完成情况接口表·············································································11

表A.8维护支持接口表··································································································11

II

T/CAMS171—2023

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标准化技术协会提出。

本文件由中国机械工业标准化技术协会仪器仪表及自动化专业委员会归口。

本文件起草单位：机械工业仪器仪表综合技术经济研究所、西安交通大学、宜创智维（山东）

智能科技有限公司。

本文件主要起草人：王凯、王成城、杜晓辉、杨志勃、陈雪峰、田绍华、崔璐璐。

本文件为首次发布。

III

T/CAMS171—2023

智能服务预测性维护系统功能要求

1范围

本文件规定了智能服务预测性维护系统的系统架构、网络构建、功能模型及功能要求。

本文件适用于预测性维护系统的设计、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/T2298机械振动、冲击与状态监测词汇

GB/T5271.1—2000信息技术词汇第1部分：基本术语

GB/T15969.6—2015可编程序控制器第6部分：功能安全

GB/T20921—2007机器状态监测与诊断词汇

GB/T29308—2012核电厂安全重要仪表和控制系统老化管理要求

GB/T31052.1—2014起重机械检查与维护规程第1部分：总则

GB/T31960.1—2015电力能效监测系统技术规范第1部分：总则

3术语和定义

GB/T2298、GB/T20921—2007、GB/T31052.1—2014界定的以及下列术语和定义适用于本文件。

3.1

维护maintenance

为使设备保持或恢复到能执行规定功能和性能要求的状态进行的一系列工作。维护工作包括保

养和维修。

[来源：GB/T31052.1—2014，3.5，有修改]

3.2

故障fault

可能导致功能单元执行要求功能的能力降低或丧失的异常状况。

[来源：GB/T15969.6—2015，3.24]

3.3

故障诊断failurediagnosis

为确定故障的性质（种类、状况、程度和原因）而检验症状和症候群的活动。

[来源：GB/T20921—2007，2.6，有修改]

注：故障诊断可能得到设备故障的根本原因，也可能只确定设备故障问题。

3.4

故障判定failuredetermine

通过症状或症候群分析，明确故障的根本原因。

1

T/CAMS171—2023

3.5

故障报警failurealarm

故障诊断所选定的参数或逻辑组合出现异常，系统或设备已发生故障问题，要求采取纠正行动

保持或恢复到能执行规定功能和性能要求时通知人员的活动。

[来源：GB/T20921—2007，5.2，有修改]

3.6

故障预警failurealarm

故障诊断所选定的参数或逻辑组合出现异常征兆，系统或设备暂未发生故障问题，维持执行规

定功能和性能要求通知人员的活动。

3.7

智能服务intelligentservice

能够自动辨识用户的显性和隐性需求，并且主动、高效、安全、绿色地满足其需求的服务。

注：预测性维护是一种典型的智能服务模式。

3.8

监测终端monitoringterminal

采集、处理物理量（如流量、压力、振动、温度、湿度等）信息，并能与集中或交互终端进行

数据交互的装置。

[来源：GB/T31960.1—2015，3.4，有修改]

3.9

预测性维护predictivemaintenance

根据观测到的状况而决定的连续或间断进行的维护，以监测、诊断或预测构筑物、系统或部件

的条件指标。

[来源：GB/T29308—2012，3.13，有修改]

3.10

预防性维护preventivemaintenance

以预先定义的时间间隔或按照规定的标准执行的维护，以降低失效概率或某项功能降级的可能性。

[来源：GB/T29308—2012，3.14，有修改]

3.11

人工智能artificialintelligence

计算机科学的分支，专门研究数据处理系统，该系统执行通常与人类智能相关的功能。

[来源：GB/T5271.1—2000，01.06.12，有修改]

4缩略语

下列缩略语适用于本文件。

ERP（EnterpriseResourcePlanning）：企业资源规划

MES（ManufacturingExecutionSystem）：制造执行系统

RUL（RemainingUsefulLife）：剩余使用寿命

2

T/CAMS171—2023

5总则

5.1系统架构

预测性维护系统架构应按设备层、监测层、存储层、业务层和展示层进行设计，如图1所示。

图1预测性维护系统架构

5.2网络构建

预测性维护系统应包括系统用户终端、系统服务中心两部分，供应商通过服务中心管理设备运

维数据，客户、监管部门通过用户终端访问使用设备运维数据。

设备运行状态数据的接收、处理、存储和分析由预测性维护系统数据中心实现，并与预测性维

护系统服务中心和预测性维护系统用户终端通信。

预测性维护系统服务中心与预测性维护系统数据中心应构成一个工业局域网，局域网络应具备

防火墙功能。

预测性维护系统用户终端应通过以太网与预测性维护系统数据中心、预测性维护系统服务中心

通信，客户宜配置防火墙等安全系统。

5.3功能模型

预测性维护系统的功能可分为核心功能和扩展功能，核心功能是指预测性维护系统必须具备的

功能，扩展功能是指用户根据需要选择采用的功能。

核心功能包括数据采集、状态监测、故障诊断、寿命预测、维修维护管理和可视化。扩展功能

包括但不限于设备管理、数据与知识库、资源管理、虚拟维修、远程专家系统等。用户可根据实际

需求进行选择。

3

T/CAMS171—2023

预测性维护系统的功能模型如图2所示。预测性维护系统应具备与其他系统的接口，以满足其

与外部系统互联互通的需求。

图2预测性维护系统功能模型图

6功能要求

6.1概述

对设备实现基于预测的维护，即通过设备运行状态相关数据的采集，完成状态识别、故障诊断、

寿命预测等功能，并预先提供维修和维护方案，支持设备的维修维护管理。该类预测性维护宜基于

独立的系统开展，可与ME