Summary of Research on Digital Twin Workshop

Dahai Hu *

School of Civil Engineering and Transportation, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.

*Author to whom correspondence should be addressed.


Abstract

Global overcapacity, resulting in increasingly fierce competition between enterprises, improve the production efficiency of the manufacturing industry is the key problem. Workshop is an important part of manufacturing industry. In order to improve the intelligent level of workshop and realize the digitization of production process, the current focus is how to use digital twin technology. Although the traditional virtual shop and digital shop design can realize intelligent shop, there are some problems such as non-real-time interaction and low data utilization. Digital twinning technology can effectively improve the transparency of workshop production process and optimize the production process. Establishing digital twin workshops and realizing the interconnection and further integration of workshop information and physical space will become the development trend of workshops and the only way to realize intelligent production and control of workshops. This study describes the definition of digital twin shop, system architecture and supporting technology, and summarizes the applications of digital twin shop in six aspects: shop equipment fault prediction and maintenance, shop production scheduling optimization, production process planning, intelligent control of shop equipment, shop energy consumption analysis and optimization, and real-time control of shop manufacturing process. This will provide reference for later digital twinning workshop researchers.

Keywords: Digital twin, workshop, manufacturing


How to Cite

Hu, D. (2023). Summary of Research on Digital Twin Workshop. Journal of Engineering Research and Reports, 25(1), 41–49. https://doi.org/10.9734/jerr/2023/v25i1868

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