3D visual monitoring system of industrial robot based on digital twin

被引：0

作者：

Du Y. ^{[1
]}

Luo Y. ^{[1
]}

Peng Y. ^{[1
]}

Liu X. ^{[1
]}

Wu J. ^{[1
]}

机构：

[1] Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 06期

关键词：

digital twin; industrial robot; monitoring system; real time mapping;

D O I：

10.13196/j.cims.2023.06.027

中图分类号：

TP249 [应用];

学科分类号：

摘要：

To realize the transparent and real-time visual monitoring of industrial robot in the working process, a three-dimensional real-time visual monitoring system of industrial robot based on digital twin was proposed. On the basis of improved digital twin system framework, the digital twin of the robot was established and the physical unit modeling was realized. The twin data obtained were stored, transmitted and parsed in real time. To realize the three-dimensional real-time monitoring of the robot, the physical unit and virtual unit were mapped in real time with transmit data. Furthermore, a prototype system was developed to verify the proposed system, which proved its feasibility and effectiveness. © 2023 CIMS. All rights reserved.

引用

页码：2130 / 2138

页数：8

共 24 条

[1]

LIU Songguo, Research on motion optimization and trajectory tracking control of 6-DOF series robot [D], (2009)

[2]

BJERKENG M, FALCO P., NATALE C, Et al., Stability analysis of a hierarchical architecture for discrete-time sensor based control of robotic systems[J], IEEE Transactions on Robotics, 30, 3, pp. 745-753, (2017)

[3]

ALEJANDRO E, JESUS R, YOSIMAR J., Vibration suppression for improving the estimation of kinematic parameters on industrial robots, Shock and Viration, 15, 23, pp. 178-182, (2016)

[4]

AHMAD M I, YUSOF Y., DAUD M E, Et al., Machine monitoring system: a decade in review[J], The International Journal of Advanced Manufacturing Technology, 108, 3, pp. 3645-3659, (2020)

[5]

DE SOUZA A F, MARTINS J, MAIOCHI H, Et al., Development of a mobile application for monitoring and controlling a CNC machine using Industry 4.0 concepts, The International Journal of Advanced Manufacturing Technology, 111, 9-10, pp. 2545-2552, (2020)

[6]

SABRY A H, NORDIN F H, SABRY A H, Et al., Fault detection and diagnosis of industrial robot based on power consumption modeling[J], IEEE Transactions on Industrial Electronics, 67, 9, pp. 7929-7940, (2020)

[7]

ZHANG Aimin, KONG Depeng, WANG Qian, Design of remote monitoring and diagnosis system for industrial robot [J], Mechanics, 37, 3, pp. 745-753, (2020)

[8]

ZHANG Xuchao, Gmstruction of video surveillance system platform in industrial network[J], Wireless Internet Technology, 15, 7, pp. 24-25, (2018)

[9]

YE Jianhui, LIU Shaoli, LIU Jianhua, Et al., On-site monitoring technology of complex product assembly workshop based on process [J], Computer Integrated Manufacturing Systems, 23, 7, pp. 1469-1480, (2017)

[10]

.YIN Chenbo Hao, JIA Wenhua, Et al., Robotic excavator trajectory control and motion visualization [J], Computer Integrated Manufacturing Systems, 25, 2, pp. 447-453, (2019)

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