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D&R of Digital Twin-based Intelligent Control Practical Training System

Published: 29 August 2023 Publication History

Abstract

The manufacturing industry is gradually reforming in the direction of intelligent digitalization. The traditional automation control technology and virtual simulation technology cannot intuitively reflect the operation working state of the actual equipment in the intelligent manufacturing production line in order to solve the problems of low intelligence level, lack of 3D visualization function, and poor sense of interactive experience in the traditional manufacturing system. In this paper, we design a digital twin intelligent control training system based on digital twin technology and determine the overall framework of the system and the corresponding modules and functions. The static virtual model of the twin system is constructed using 3dMAX software, the UI visualization of the dynamic interactive twin system is built using the unity development platform, and the OPC UA based industrial IoT real-time data acquisition method is proposed. The digital twin module establishes the data acquisition framework to connect the actual production line with the virtual production line to realize real-time data signal acquisition and control and complete the digital twin and data fusion. The experimental results show that the system can realize intelligent control of production line visualization production and intuitively reflect the operation status of the equipment. The system is used to teach practical training courses in colleges and universities. Students can obtain the real-time operation status of production plants in the physical world through the models, movements, data, and other information displayed by the digital twin, which increases students' practical operation ability and improves the teaching effect, and lays the foundation for further expanding the application fields of digital twin technology.

References

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Junjun Wu, Haichu Chen, Qinghua Zhang, and Zhifeng Wang. 2022. Study on the teaching mode of intelligent manufacturing practical training based on digital twin technology. Industrial and Information Technology Education 2 (2022), 72-76. https://kns.cnki.net/kcms2/article/abstract?v=3uoqIhG8C44YLTlOAiTRKibYlV5Vjs7iJTKGjg9uTdeTsOI_ra5_XTPQwdclx6u0wrVM7heMLRcWRfeR4MmDY-PUfkUQHy0r&uniplatform=NZKPT
[2]
Jiong Ye. 2022. Research on Intelligent Factory MES System Based on Digital Twins. Master. Anhui University of Engineering.
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Lisheng Fang. 2021. Research and implementation of Unity3D-based visual control simulation teaching experiment platform. Master. Harbin Engineering University.
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Siyuan Chen, Chi Zhang, Xiaoguang Wu, Hongjun Li, and Zhangling Wan. 2022. Design and application of MPS intelligent control system based on digital twin. Combined Machine Tools and Automatic Machining Technology 5 (2022), 67-70. https://doi.org/10.13462/j.cnki.mmtamt.2022.05.016
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Jasper Wilhelm, Christoph Petzoldt, Thies Beinke, and Michael Freitag. 2021. Review of Digital Twin-based Interaction in Smart Manufacturing: Enabling Cyber-Physical Systems for Human-Machine Interaction. International Journal of Computer Integrated Manufacturing 34, 10 (October 2021), 1031–1048. https://doi.org/10.1080/0951192X.2021.1963482
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ITCC '23: Proceedings of the 2023 5th International Conference on Information Technology and Computer Communications
June 2023
124 pages
ISBN:9798400700583
DOI:10.1145/3606843
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 August 2023

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Author Tags

  1. Digital twin
  2. Human-computer interaction
  3. Practical training system
  4. Unity
  5. Virtual reality synchronization

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  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • National Nature Science Foundation of China
  • Tianjin Education Science Planning Subject

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ITCC 2023

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