系统仿真学报 ›› 2026, Vol. 38 ›› Issue (9): 2696-2710.doi: 10.16182/j.issn1004731x.joss.25-1072

• 论文 • 上一篇    

多级离心压缩机基于数模融合数字孪生的健康智能监测研究

姜孝谟1, 孟继纲1, 惠怀宇2, 孟文清2, 杨海宾2, 陈荟泽1   

  1. 1.大连理工大学 能源与动力学院,辽宁 大连 116024
    2.大连理工大学 力学与航空航天学院,辽宁 大连 116024
  • 收稿日期:2025-11-04 修回日期:2026-02-03 出版日期:2026-09-30 发布日期:2026-10-02
  • 第一作者简介:姜孝谟(1973-),男,教授,博士,研究方向为旋转机械智慧运维、数字孪生和AI4science。
  • 基金资助:
    辽宁省揭榜挂帅资助项目(2023JH1);沈阳市揭榜挂帅资助项目(05010017);大连市创新领军人才项目(2022RG10)

Research of Data-model Integrated Digital Twin-based Health Intelligent Monitoring for Multi-stage Centrifugal Compressors

Jiang Xiaomo1, Meng Jigang1, Hui Huaiyu2, Meng Wenqing2, Yang Haibin2, Chen Huize1   

  1. 1.School of Energy and Power, Dalian University of Technology, Dalian 116024, China
    2.School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, China
  • Received:2025-11-04 Revised:2026-02-03 Online:2026-09-30 Published:2026-10-02

摘要:

为解决多级离心压缩机在复杂工况下长期安全、稳定运行中存在的监测实时性不足、虚拟模型脱节等问题,提出一种面向健康智能监测的多级离心压缩机数模融合数字孪生构建方法。通过构建机组-系统-部件多层级虚拟孪生体,实现离心压缩机几何结构、运行行为与监测数据的协同映射;结合端-边-云协同架构,将数据驱动模型与虚拟孪生体动态耦合,构建数字孪生健康智能监测平台,实现运行状态可视化、故障预警与寿命预测等功能。基于实际离心压缩机试验台展开功能验证和性能初步评估,结果表明所提方法在保证实时性的同时具备较高的监测准确性和工程适用性,可为多级离心压缩机智慧运维提供技术支撑。

关键词: 离心压缩机, 3D 虚拟可视化, 数字孪生, 健康监测, 智慧运维

Abstract:

To address the challenges of insufficient real-time monitoring capability and weak coupling between physical entities and virtual models in the long-term safe and reliable operation of multi-stage centrifugal compressors under complex operating conditions, this paper proposes a digital twin construction method based on data-model fusion for intelligent health monitoring. A unit-system-component hierarchical virtual twin model is established to achieve the coordinated mapping of geometric structure, operational behavior, and monitoring data of the compressor. By integrating a terminal-edge-cloud collaborative architecture, data-driven models are dynamically coupled with the virtual twin to construct a digital twin-based health monitoring platform, enabling operating state visualization, fault early warning, and remaining useful life prediction. A demonstration and validation are conducted on a centrifugal compressor test rig. The results show that the proposed method can achieve reliable monitoring performance while ensuring real-time responsiveness, demonstrating good engineering applicability and providing technical support for intelligent operation and maintenance of multi-stage centrifugal compressors.

Key words: centrifugal compressor, 3D virtual visualization, digital twin, health monitoring, intelligent operation and maintenance

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