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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Main Authors: XU Jian, ZHAO Yijian, LIU Gaofeng, ZHENG Zili, YAN Huanying
Format: Article
Language:zho
Published: Editorial Office of Journal of XPU 2024-04-01
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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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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AT zhaoyijian modelingandmonitoringmethodsforindustrialrobotsbasedondigitaltwin
AT liugaofeng modelingandmonitoringmethodsforindustrialrobotsbasedondigitaltwin
AT zhengzili modelingandmonitoringmethodsforindustrialrobotsbasedondigitaltwin
AT yanhuanying modelingandmonitoringmethodsforindustrialrobotsbasedondigitaltwin