Modeling and monitoring methods for industrial robots based on digital twin
In view of the issues such as opaque data and monitoring blind spots in industrial robots, study was conducted on physical industrial robots, leading to the development of a digital twin robot monitoring system. Firstly, modeling of virtual robots was accomplished from three dimensions: geometric, p...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of XPU
2024-04-01
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| Series: | Xi'an Gongcheng Daxue xuebao |
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| Online Access: | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1457 |
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| _version_ | 1849727311450996736 |
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| author | XU Jian ZHAO Yijian LIU Gaofeng ZHENG Zili YAN Huanying |
| author_facet | XU Jian ZHAO Yijian LIU Gaofeng ZHENG Zili YAN Huanying |
| author_sort | XU Jian |
| collection | DOAJ |
| description | In view of the issues such as opaque data and monitoring blind spots in industrial robots, study was conducted on physical industrial robots, leading to the development of a digital twin robot monitoring system. Firstly, modeling of virtual robots was accomplished from three dimensions: geometric, physical, and logical. Secondly, based on the open platform communications united architecture (OPC UA), data collection and communication for robots were implemented. User display interfaces were designed to achieve real-time visualization of data. Finally, through robot simulation experiments, the relative position errors of the robot end effector in the X, Y, and Z coordinates were determined to be 0.48%, 0.32%, and 0.27%, respectively. The maximum error in joint angles of the robot, verified through synchronized experiments using a digital twin robot monitoring system, was found to be 0.31°. The experimental results demonstrate that the method can achieve motion data monitoring for digital twin industrial robots, reducing the risk of accidents and failures in the production process. It provides insights and directions for the development of intelligent industrial robots. |
| format | Article |
| id | doaj-art-a043983c8d184e168ad7046ef0bfeab3 |
| institution | DOAJ |
| issn | 1674-649X |
| language | zho |
| publishDate | 2024-04-01 |
| publisher | Editorial Office of Journal of XPU |
| record_format | Article |
| series | Xi'an Gongcheng Daxue xuebao |
| spelling | doaj-art-a043983c8d184e168ad7046ef0bfeab32025-08-20T03:09:52ZzhoEditorial Office of Journal of XPUXi'an Gongcheng Daxue xuebao1674-649X2024-04-0138212413310.13338/j.issn.1674-649x.2024.02.016Modeling and monitoring methods for industrial robots based on digital twinXU Jian0ZHAO Yijian1LIU Gaofeng2ZHENG Zili3YAN Huanying4School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, ChinaSchool of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, ChinaSchool of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, ChinaSchool of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, ChinaRobotel Robotics Technology Co. Ltd., Shenzhen 518109, Guangdong, ChinaIn view of the issues such as opaque data and monitoring blind spots in industrial robots, study was conducted on physical industrial robots, leading to the development of a digital twin robot monitoring system. Firstly, modeling of virtual robots was accomplished from three dimensions: geometric, physical, and logical. Secondly, based on the open platform communications united architecture (OPC UA), data collection and communication for robots were implemented. User display interfaces were designed to achieve real-time visualization of data. Finally, through robot simulation experiments, the relative position errors of the robot end effector in the X, Y, and Z coordinates were determined to be 0.48%, 0.32%, and 0.27%, respectively. The maximum error in joint angles of the robot, verified through synchronized experiments using a digital twin robot monitoring system, was found to be 0.31°. The experimental results demonstrate that the method can achieve motion data monitoring for digital twin industrial robots, reducing the risk of accidents and failures in the production process. It provides insights and directions for the development of intelligent industrial robots.http://journal.xpu.edu.cn/en/#/digest?ArticleID=1457industrial robotsdigital twinsix-axis robotdata communicationvisual monitoringopen platform communications united architecture |
| spellingShingle | XU Jian ZHAO Yijian LIU Gaofeng ZHENG Zili YAN Huanying Modeling and monitoring methods for industrial robots based on digital twin Xi'an Gongcheng Daxue xuebao industrial robots digital twin six-axis robot data communication visual monitoring open platform communications united architecture |
| title | Modeling and monitoring methods for industrial robots based on digital twin |
| title_full | Modeling and monitoring methods for industrial robots based on digital twin |
| title_fullStr | Modeling and monitoring methods for industrial robots based on digital twin |
| title_full_unstemmed | Modeling and monitoring methods for industrial robots based on digital twin |
| title_short | Modeling and monitoring methods for industrial robots based on digital twin |
| title_sort | modeling and monitoring methods for industrial robots based on digital twin |
| topic | industrial robots digital twin six-axis robot data communication visual monitoring open platform communications united architecture |
| url | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1457 |
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