|本期目录/Table of Contents|

[1]张旭东,王国庆,刘平利,等.外置视觉监测的机器人数字孪生系统研究[J].工业仪表与自动化装置,2024,(01):47-50.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.01.011]
 ZHANG Xudong,WANG Guoqing,LIU Pingli,et al.Study on robot digital twin system with external visual monitoring[J].Industrial Instrumentation & Automation,2024,(01):47-50.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.01.011]
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外置视觉监测的机器人数字孪生系统研究(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2024年01期
页码:
47-50
栏目:
出版日期:
2024-02-15

文章信息/Info

Title:
Study on robot digital twin system with external visual monitoring
文章编号:
1000-0682(2024)01-0047-04
作者:
张旭东王国庆刘平利杨嘉龙覃 波石振宇Njaramba Winnie Nyokabi
(长安大学 工程机械学院,陕西 西安 710064)
Author(s):
ZHANG XudongWANG GuoqingLIU PingliYANG JialongQIN BoSHI Zhenyu Njaramba Winnie Nyokabi
(Chang ’an University College of Engineering Machinery, Shaanxi Xi ’an 710064,China)
关键词:
直角坐标机器人数字孪生外置监测半物理仿真
Keywords:
cartesian robot digital twins external monitoring semi-physical simulation
分类号:
TP391.9;TP242.2
DOI:
DOI:10.19950/j.cnki.CN61-1121/TH.2024.01.011
文献标志码:
A
摘要:
目前,在直角坐标机器人的数字孪生系统研究中,存在数字端对物理端真实情况反应不足的问题。针对此问题,采用外置视觉和数字孪生系统模型相结合的方法,基于半物理仿真技术建立数字端模型,并构建了直角坐标机器人数字孪生系统,设计了结合外置视觉的数字孪生系统模型,并就构建数字孪生系统所涉及的关键技术进行了分析,包括数字端模型、控制器、外置视觉监测等。实现了对直角坐标机器人数字孪生系统的开发,完成了相关功能的实现。
Abstract:
At present, in the study of the digital twin system of cartesian robots, there is a problem that the digital side does not respond to the real situation of the physical side. To solve this problem, the digital end model is established based on semi-physical simulation technology, and the digital twin system of cartesian coordinate robot is constructed. The model of digital twin system combined with external vision is designed, and the key technologies involved in constructing digital twin system are analyzed, including digital terminal model, controller, external vision monitoring and so on. The digital twin system of cartesian coordinate robot is developed and the related functions are realized.

参考文献/References:

[1]徐朋月, 刘攀, 郑肖飞. 数字孪生在制造业中的应用研究综述[J]. 现代制造工程, 2023(02): 128-136.

[2]ASHTARI Talkhestani B, JUNG T, LINDEMANN B, et al. An architecture of an intelligent digital twin in a cyber-physical production system[J].at-Automatisierungstechnik, 2019, 67(9): 762-782.
[3]LIU M, FANG S, DONG H, et al. Review of digital twin about concepts, technologies, and industrial applications[J]. Journal of Manufacturing Systems, 2021, 58: 346-361.
[4]WANG Y, XU R, ZHOU C, et al. Digital twin and cloud-side-end collaboration for intelligent battery management system[J]. Journal of Manufacturing Systems, 2022,62: 124-134.
[5]杨泞宁, 王志坚. 数字孪生驱动的滚动轴承虚实交互研究[J]. 组合机床与自动化加 工技术, 2023(02): 160-163+168.
[6]LI Yi , LI Mengmeng , ZHENG Qibin , et al. Survey on video object tracking algorithms[J]. Journal of Frontiers of Computer Science & Technology, 2022, 16(7): 1504.
[7]韩瑞泽, 冯伟, 郭青,等. 视频单目标跟踪研究进展综述[J]. 计算机学报, 2022, 45(09): 1877-1907.
[8]刘艺,李蒙蒙,郑奇斌,等.视频目标跟踪算法综述[J].计算机科学与探索,2022,16(07):1504-1515.
[9]PETERSEN M, SAMUELSON C, BEARD R W. Target tracking and following from a multirotor UAV[J]. Current Robotics Reports, 2021, 2: 285-295.
[10]MAHMOUDI N, AHADI S M, RAHMATI M. Multi-target tracking using CNN-based features: CNNMTT[J]. Multimedia Tools and Applications, 2019, 78: 7077-7096.

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备注/Memo

备注/Memo:
收稿日期:2023-10-10第一作者:张旭东(1999—),男,汉族,陕西西安人,硕士研究生,学生,研究方向为设备智能化信息化。
更新日期/Last Update: 1900-01-01