Research on the Digital Twin System of Welding Robots Driven by Data

With the rise of digital twin technology, the application of digital twin technology to industrial automation provides a new direction for the digital transformation of the global smart manufacturing industry. In order to further improve production efficiency, as well as realize enterprise digital empowerment, this paper takes a welding robot arm as the research object and constructs a welding robot arm digital twin system. Using three-dimensional modeling technology and model rendering, the welding robot arm digital twin simulation environment was built. Parent-child hierarchy and particle effects were used to truly restore the movement characteristics of the robot arm and the welding effect, with the help of TCP communication and Bluetooth communication to realize data transmission between the virtual segment and the physical end. A variety of UI components were used to design the human-machine interaction interface of the digital twin system, ultimately realizing the data-driven digital twin system. Finally, according to the digital twin maturity model constructed by Prof. Tao Fei's team, the system was scored using five dimensions and 19 evaluation factors. After testing the system, we found that the combination of digital twin technology and automation is feasible and achieves the expected results.

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Publication Details

Journal
Sensors
Published
2025-06-22
DOI
https://doi.org/10.3390/s25133889
Citations
4
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
4.97
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article

Research on the Digital Twin System of Welding Robots Driven by Data

Joan Lu, Qiang Xu, Saishuang Wang, Lijun Wang et al.
4 citations
Sensors
Digital Transformation in Industry
4.97
article

Research on the Digital Twin System of Welding Robots Driven by Data

Joan Lu, Qiang Xu, Saishuang Wang, Lijun Wang, Wenjie Wang, Xiao Ma, Yufeng Jiao
article en
4 citations

Abstract

With the rise of digital twin technology, the application of digital twin technology to industrial automation provides a new direction for the digital transformation of the global smart manufacturing industry. In order to further improve production efficiency, as well as realize enterprise digital empowerment, this paper takes a welding robot arm as the research object and constructs a welding robot arm digital twin system. Using three-dimensional modeling technology and model rendering, the welding robot arm digital twin simulation environment was built. Parent-child hierarchy and particle effects were used to truly restore the movement characteristics of the robot arm and the welding effect, with the help of TCP communication and Bluetooth communication to realize data transmission between the virtual segment and the physical end. A variety of UI components were used to design the human-machine interaction interface of the digital twin system, ultimately realizing the data-driven digital twin system. Finally, according to the digital twin maturity model constructed by Prof. Tao Fei's team, the system was scored using five dimensions and 19 evaluation factors. After testing the system, we found that the combination of digital twin technology and automation is feasible and achieves the expected results.

SensorsVol. 25(13)
University of Huddersfield (GB), North China University of Water Resources and Electric Power (CN), Ministry of Water Resources of the People's Republic of China (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Digital Transformation in Industry
4.97
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Research on the Digital Twin System of Welding Robots Driven by Data — Joan Lu, Qiang Xu, et al. · Sensors (2025) | TGRS Research Map | TGRS