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基于数字孪生的液压油泵车试验台监测系统

WANG Kun WANG Gongdong

沈阳航空航天大学学报2025,Vol.42Issue(6):46-54,9.
沈阳航空航天大学学报2025,Vol.42Issue(6):46-54,9.DOI:10.3969/j.issn.2095-1248.2025.06.006

基于数字孪生的液压油泵车试验台监测系统

Monitoring system for hydraulic oil pump truck testbed based on digital twin

WANG Kun 1WANG Gongdong1

作者信息

  • 1. College of Aerospace Engineering,Shenyang Aerospace University,Shenyang 110136,China
  • 折叠

摘要

Abstract

Aiming to address the limitations of traditional health monitoring methods of hydraulic oil pump truck testbed,such as reliance on periodic physical inspections and maintenance,low levels of informatization,and insufficient production efficiency,an application development architecture for a hydraulic oil pump truck monitoring system was proposed based on digital twin technology.This architecture integrates data,models,and communication to improved the predictive maintenance level and operational efficiency of the equipment.The research enabled real-time data interaction and fusion between the physical equipment and the virtual model by constructing a digital twin virtual model of the equipment and utilizing the TCP/IP protocol and a unified JSON packet format.On this basis,the system could perform simulation,numerical prediction,fault diagnosis,and early warning for the hydraulic oil pump truck testbed,thereby optimizing the equipment's operation status.Test results show that the system is able to perform health monitoring and fault diagnosis for the hydraulic oil pump truck,showing broad prospects in the application of aviation testbed.

关键词

数字孪生/液压油泵车试验台/监测系统/健康监测/数值预测

Key words

digital twin/hydraulic oil pump truck testbed/monitoring system/health monitoring/numerical prediction

分类

信息技术与安全科学

引用本文复制引用

WANG Kun,WANG Gongdong..基于数字孪生的液压油泵车试验台监测系统[J].沈阳航空航天大学学报,2025,42(6):46-54,9.

基金项目

国家自然科学基金(项目编号:52374393) (项目编号:52374393)

辽宁省重点研发计划项目(项目编号:2023JH2,101300234). (项目编号:2023JH2,101300234)

沈阳航空航天大学学报

2095-1248

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