Research on the Deep Integration Path of Digital Twin Technology and Productive Practical Teaching in Vocational Colleges under the Context of Intelligent Manufacturing Scenarios

Authors

  • Wei Liu

DOI:

https://doi.org/10.6918/IJOSSER.202504_8(4).0041

Keywords:

Digital Twin; Virtual Simulation; Productive Training Base; Construction Path.

Abstract

China's manufacturing industry has entered a new era of development, transitioning from extensive to high-quality and lean production. The growth rate of the manufacturing sector is gradually shifting from high-speed to medium-high speed, and the production methods are evolving from traditional ones to intelligent manufacturing, collaborative manufacturing, and others. The integration of digitalization and informatization has driven the transformation and upgrading of intelligent manufacturing. Digital twins possess technical characteristics such as virtual-real consistency, virtual-real synchronization, and real-time interaction. Their applications range from simulating reality and digital cities to the industrial field. With the development of lean production and intelligent factories in the manufacturing industry, the interaction relationships and production line scales in the production sites are becoming increasingly complex. The application of digital twin technology throughout the entire life cycle of intelligent factories, including the early construction, mid-term operation, and late prediction phases, demonstrates unique advantages. In the field of vocational education, this paper conducts an in-depth study on the relationship between digital twin technology and the construction of productive training bases. By combining the characteristics of vocational education and teaching, virtual training designed with digital twin technology breaks down the productive training process into units, transforming observational learning into practical learning. It explores a more complete and effective training environment and mode that integrates virtual and real elements in the construction path of vocational education training bases, providing an experience model for vocational education training methods.

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References

[1] ISO 23247-1:2021. Automation systems and integration — Digital twin framework for manufacturing — Part 1: Overview and general principles[S]. Geneva: International Organization for Standardization, 2021.

[2] Ministry of Industry and Information Technology, National Development and Reform Commission, Ministry of Education, et al. "14th Five-Year Plan" for the Development of Intelligent Manufacturing [EB/OL]. 2021-12-28.

[3] Cai Lifeng. Research on the Construction Path and Evaluation System of In-school Productive Training Bases in Vocational Colleges from the Perspective of School-Enterprise Collaboration [J]. Vocational Education Research, 2021, 23(5): 45-51.

[4] Liu Ruibin. Construction Strategies and Paths of Productive Training Bases in Higher Vocational Colleges from the Perspective of "Teaching Factory" [J]. Education Modernization, 2020, 7(12): 18-23.

[5] Office of the Ministry of Education. Guidelines for the Construction of Demonstration Virtual Simulation Training Bases in Vocational Education [Z]. 2021-08-20.

[6] Grieves, M., & Vickers, J. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems[M]. Springer, 2017.

[7] Muller, R., & Wagner, S. Digital Twin-Driven Skill Training in Smart Factories: A German Perspective [C]. In Proceedings of the 2023 IEEE International Conference on Industrial Informatics, 2023: 1-6.

[8] Tao, F., et al. Digital Twin in Industry: State-of-the-Art[J]. IEEE Transactions on Industrial Informatics, 2019, 15(4): 2405-2415.

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Published

2025-03-11

Issue

Section

Articles

How to Cite

Liu, Wei. 2025. “Research on the Deep Integration Path of Digital Twin Technology and Productive Practical Teaching in Vocational Colleges under the Context of Intelligent Manufacturing Scenarios”. International Journal of Social Science and Education Research 8 (4): 370-76. https://doi.org/10.6918/IJOSSER.202504_8(4).0041.