基于数字孪生的机械设备运行状态监测技术研究综述
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中航工业计量所

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TB9;TH17

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航空科学基金


Summary of research on mechanical equipment operation status monitoring technology based on digital twins
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AVIC Changcheng Institute of Metrology & Measurement

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    摘要:

    随着我国工业及制造业的快速发展,机械设备传统的维修方式逐渐无法满足高效率的生产要求,对机械设备运行状态实时监测的需求在不断提升。近年来,数字孪生技术的发展与应用为机械设备运行状态监测提供了新的思路。本文阐述了机械设备运行状态监测的重要性以及数字孪生的基本概念,重点分析了数字孪生领域中信息融合的相关理论,对多信息融合状态监测技术进行了梳理,总结了各理论的优势与不足并进行了对比分析。最后,根据信息融合理论的研究现状,从以应用目标为导向构建数字孪生模型、探索智能化模型实时更新技术、传感器数字孪生模型构建等方面进行了展望,为今后数字孪生驱动的机械设备运行状态监测技术的研究与发展提供参考。

    Abstract:

    With the rapid development of China's industry and manufacturing industry, the traditional maintenance methods of mechanical equipment gradually can't meet the requirements of high-efficiency production, and the demand for real-time monitoring of mechanical equipment operation status is constantly rising. In recent years, the development and application of digital twin technology provide a new idea for the monitoring of mechanical equipment operation status. This paper describes the importance of mechanical equipment operation status monitoring and the basic concept of digital twins, focuses on the analysis of the relevant theory of information fusion in the field of digital twins, combs the multi information fusion status monitoring technology, summarizes the advantages and disadvantages of each theory, and makes a comparative analysis. Finally, according to the research status of information fusion theory, the prospect is made from the application goal oriented construction of digital twin model, the exploration of intelligent model real-time update technology, and the construction of sensor digital twin model, which provides a reference for the research and development of digital twin driven mechanical equipment operation status monitoring technology in the future.

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  • 收稿日期:2025-08-28
  • 最后修改日期:2025-09-15
  • 录用日期:2025-09-18
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