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Research on 3D Visualization Monitoring and Fault Diagnosis Methods for Urban Rail Transit Switch Machines Based on Digital Twins Technology
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Yan ZHENG1, Zhenhai ZHANG1, Zhaohui LIANG2, Zhang MA2
Urban Rapid Rail Transit | 2025, 38(3) : 153 - 161
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Urban Rapid Rail Transit | 2025, 38(3): 153-161
• Electrical and Mechanical Engineering •
Research on 3D Visualization Monitoring and Fault Diagnosis Methods for Urban Rail Transit Switch Machines Based on Digital Twins Technology
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Yan ZHENG1, Zhenhai ZHANG1, Zhaohui LIANG2, Zhang MA2
Affiliations
  • 1 College of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou 730070
  • 2 China State Railway Group Co., Ltd. Beijing 100844
Published: 2025-06-01 doi: 10.3969/j.issn.1672-6073.2025.03.021
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To improve the visualization of switch machine status monitoring and the intelligence of fault diagnosis by urban rail transit operators, a 3D visualization monitoring and fault diagnosis method of switch machine based on digital twin is proposed, which provides a powerful technical support for the realtime monitoring of switch machine status, highquality transmission of operation data, and the precise alarm of equipment faults. Compared with the existing intelligent operation and maintenance system of Switch Machines, this study uses digital twin technology to establish a highfidelity model, maps the fieldworking Switch Machines in the information space through realtime interaction of data, and realizes threedimensional visual monitoring of Switch Machines indoors through WebGL and model lightening technology; in view of the small number of samples of fault data for switch machines in the field, it establishes a combined model of CNNTransformer to achieve fault diagnosis. To achieve the fault diagnosis of switch machines, the fault diagnosis accuracy rate is 98.67% under the condition of imbalance between normal data and fault data; In order to verify the feasibility of the proposed framework and the improved algorithmic approach, a 3D visualization monitoring and fault diagnosis platform for switch machines based on digital twins is designed.

urban rail transit  /  digital twin  /  switch machine  /  3D visualization and monitoring  /  fault diagnosis  /  CNN-Transformer
Yan ZHENG, Zhenhai ZHANG, Zhaohui LIANG, Zhang MA. Research on 3D Visualization Monitoring and Fault Diagnosis Methods for Urban Rail Transit Switch Machines Based on Digital Twins Technology[J]. Urban Rapid Rail Transit, 2025 , 38 (3) : 153 -161 . DOI: 10.3969/j.issn.1672-6073.2025.03.021
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Year 2025 volume 38 Issue 3
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Article Info
doi: 10.3969/j.issn.1672-6073.2025.03.021
  • Receive Date：2024-09-09
  • Online Date：2025-07-09
  • Published：2025-06-01
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  • Received：2024-09-09
  • Revised：2024-12-02
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Affiliations
    1 College of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou 730070
    2 China State Railway Group Co., Ltd. Beijing 100844
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