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<p>This study delves into enhancing the digital transformation of the discrete manufacturing sector through cutting-edge information technology, specifically digital twin technology. It tackles issues such as the absence of real-time data refreshes and a neglect of individual production units, which hinder the effective monitoring and fault detection of equipment, as well as decision-making delays, reduced production efficiency and other problems. By employing NX MCD simulation, this study introduces a comprehensive digital twin model for production line equipment units, covering aspects like 3D visualization (property model), operational logic (logic model), seamless virtual-physical integration for real-time updates (communication model: The model connects the channel between virtual and physical space, solves the problem of lack of real-time data update), and enabling dynamic production line simulations (simulation model). This innovative framework fosters a direct, real-time link between designers and the digital environment, facilitating ongoing monitoring, preemptive fault detection, and constant optimization of production processes. The efficacy of this approach is underscored by a case study on a pivotal production station, showcasing successful real-time equipment surveillance and validating the practicality of this digital twin strategy.</p>

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Digital twin modeling and simulation method for production line equipment units

  • 期刊论文

  • 发表日期：

    2025年1月31日

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  • Wei Wang,
  • Shaohui Su,
  • Linbei Jiang,
  • Changyong Chu,
  • Chang Chen,
  • Mingguang Liu

摘要

This study delves into enhancing the digital transformation of the discrete manufacturing sector through cutting-edge information technology, specifically digital twin technology. It tackles issues such as the absence of real-time data refreshes and a neglect of individual production units, which hinder the effective monitoring and fault detection of equipment, as well as decision-making delays, reduced production efficiency and other problems. By employing NX MCD simulation, this study introduces a comprehensive digital twin model for production line equipment units, covering aspects like 3D visualization (property model), operational logic (logic model), seamless virtual-physical integration for real-time updates (communication model: The model connects the channel between virtual and physical space, solves the problem of lack of real-time data update), and enabling dynamic production line simulations (simulation model). This innovative framework fosters a direct, real-time link between designers and the digital environment, facilitating ongoing monitoring, preemptive fault detection, and constant optimization of production processes. The efficacy of this approach is underscored by a case study on a pivotal production station, showcasing successful real-time equipment surveillance and validating the practicality of this digital twin strategy.