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 e...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/13/3889 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849704572334899200 |
|---|---|
| author | Saishuang Wang Yufeng Jiao Lijun Wang Wenjie Wang Xiao Ma Qiang Xu Zhongyu Lu |
| author_facet | Saishuang Wang Yufeng Jiao Lijun Wang Wenjie Wang Xiao Ma Qiang Xu Zhongyu Lu |
| author_sort | Saishuang Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8ef93bd343284fa58f9a7bb74ec97263 |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-8ef93bd343284fa58f9a7bb74ec972632025-08-20T03:16:43ZengMDPI AGSensors1424-82202025-06-012513388910.3390/s25133889Research on the Digital Twin System of Welding Robots Driven by DataSaishuang Wang0Yufeng Jiao1Lijun Wang2Wenjie Wang3Xiao Ma4Qiang Xu5Zhongyu Lu6College of Electrical Engineeringy, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaManagement Center of Xiaolangdi Water Conservancy Hub of Ministry of Water Resources, Jiyuan 459000, ChinaSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, ChinaSchool of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKThe Glass Box, 6 Friendly Street, Huddersfield, HD1 1RD, UKWith 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.https://www.mdpi.com/1424-8220/25/13/3889Welding robotic arm3D modelingDigital twinvirtual simulation |
| spellingShingle | Saishuang Wang Yufeng Jiao Lijun Wang Wenjie Wang Xiao Ma Qiang Xu Zhongyu Lu Research on the Digital Twin System of Welding Robots Driven by Data Sensors Welding robotic arm 3D modeling Digital twin virtual simulation |
| title | Research on the Digital Twin System of Welding Robots Driven by Data |
| title_full | Research on the Digital Twin System of Welding Robots Driven by Data |
| title_fullStr | Research on the Digital Twin System of Welding Robots Driven by Data |
| title_full_unstemmed | Research on the Digital Twin System of Welding Robots Driven by Data |
| title_short | Research on the Digital Twin System of Welding Robots Driven by Data |
| title_sort | research on the digital twin system of welding robots driven by data |
| topic | Welding robotic arm 3D modeling Digital twin virtual simulation |
| url | https://www.mdpi.com/1424-8220/25/13/3889 |
| work_keys_str_mv | AT saishuangwang researchonthedigitaltwinsystemofweldingrobotsdrivenbydata AT yufengjiao researchonthedigitaltwinsystemofweldingrobotsdrivenbydata AT lijunwang researchonthedigitaltwinsystemofweldingrobotsdrivenbydata AT wenjiewang researchonthedigitaltwinsystemofweldingrobotsdrivenbydata AT xiaoma researchonthedigitaltwinsystemofweldingrobotsdrivenbydata AT qiangxu researchonthedigitaltwinsystemofweldingrobotsdrivenbydata AT zhongyulu researchonthedigitaltwinsystemofweldingrobotsdrivenbydata |