数字孪生驱动的机电设备远程运维方法

孙培禄; 刘馨; 张耿; 张映锋

doi:10.7652/xjtuxb202508003

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数字孪生驱动的机电设备远程运维方法

专题　工业互联网与制造服务 | 更新时间：2025-07-30

- 数字孪生驱动的机电设备远程运维方法
- Digital Twin-Driven Remote Operation and Maintenance Method for Electromechanical Equipment
- 西安交通大学学报 2025年59卷第8期页码：20-31
- 作者机构：
  
  1.运城学院机电工程系， 044000，山西运城
  2.西安工业大学机电工程学院， 710021，西安
  3.西北工业大学工业工程与智能制造工信部重点实验室， 710072，西安
- 作者简介：
  
  孙培禄（1981—），男，副教授，硕士生导师。
- 基金信息：
  
  国家自然科学基金资助项目(52305554);国家重点研发计划资助项目(2018YFB1703402);运城学院博士科研启动资助项目(YQ-2021023)
- DOI：10.7652/xjtuxb202508003
  中图分类号： TP399
- 收稿：2025-03-28，
  
  网络首发：2025-04-23，
  
  纸质出版：2025-08-10
- 稿件说明：
移动端阅览
孙培禄, 刘馨, 张耿, 等. 数字孪生驱动的机电设备远程运维方法[J]. 西安交通大学学报, 2025,59(8):20-31.

SUN Peilu, LIU Xin, ZHANG Gen, et al. Digital Twin-Driven Remote Operation and Maintenance Method for Electromechanical Equipment[J]. Journal of Xi’an Jiaotong University, 2025, 59(8): 20-31.
孙培禄, 刘馨, 张耿, 等. 数字孪生驱动的机电设备远程运维方法[J]. 西安交通大学学报, 2025,59(8):20-31. DOI： 10.7652/xjtuxb202508003.

SUN Peilu, LIU Xin, ZHANG Gen, et al. Digital Twin-Driven Remote Operation and Maintenance Method for Electromechanical Equipment[J]. Journal of Xi’an Jiaotong University, 2025, 59(8): 20-31. DOI： 10.7652/xjtuxb202508003.

摘要

针对机电设备制造商为远程客户提供维护/维修/大修和运营（MRO）服务时存在的高成本与低效率问题，提出了一种数字孪生驱动的机电设备MRO远程运维方法。首先，从远程运维服务端和客户端开展分析，构建机电设备MRO数字孪生远程运维服务的数学模型；其次，利用云端服务器实现本地客户端与异地服务端的虚实同步，从服务端视角搭建设备孪生机电模型，研究了远程运维异构数据融合问题，阐述了远程运维服务和设备故障智能诊断的实现过程；最后，以三轴数控加工设备为对象，部署数字孪生远程运维服务三层架构，对设备开展运行过程同步监控和主轴电机故障诊断。研究结果表明：异地服务端孪生模型实现了客户端设备的远程同步实时监控，能够对客户端设备进行远程数据采集和分析并做出故障智能诊断，验证了所提模型和方法的有效性。该研究可为数字孪生驱动的远程运维服务提供参考。

Abstract

To address the high costs and low efficiency faced by electromechanical equipment manufacturers when providing maintenance

repair

overhaul

and operation (MRO) services to remote clients

a digital twin-driven remote operation and maintenance method for electromechanical equipment is proposed. First

an analysis is conducted from both the remote operation and maintenance service server and client perspectives

leading to the construction of a mathematical model for digital twin remote MRO services. Next

cloud servers are utilized to achieve virtual-physical synchronization between local clients and remote servers. A twin electromechanical model of the equipment is established from the server’s perspective

and the issue of heterogeneous data integration in remote maintenance is addressed. The implementation process of remote maintenance services and intelligent fault diagnosis is investigated. Finally

a three-axis computer numerical control machining device is selected as the subject for deploying a three-layer architecture of digital twin remote maintenance services

facilitating synchronized monitoring of the operating process and spindle motor fault diagnosis. The results indicate that the twin model at the remote service end enables real-time synchronized monitoring of the client device

allowing for remote data collection

analysis

and intelligent fault diagnosis

thereby validating the effectiveness of the proposed model and method. This research provides a reference for digital twin-driven remote maintenance services.

关键词

Keywords

references

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