Article Details

Title · Authors · Abstract · Keywords · DOI · References

Design of Robot Training Platform Based on Digital Twin Technology

LIU Yu1, YANG Feiru2

(1.Chongqing Industry and Trade Polytechnic, Chongqing 408000, China; 2.Chongqing Zhongke Yuming Robot Co., Ltd., Chongqing 401121, China)

Section:Intelligent Manufacturing · Vol. 2026, Issue 20 · Pages:183-187 · 2096-4706(2026)20-0183-05 · CLC number:TP242 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2026.20.033

Abstract

To address the problems of high equipment investment, rapid equipment wear, and limited hands-on opportunities in robot training at higher vocational colleges, this paper designs a robot training platform based on digital twin technology. Taking the industrial robot training equipment on campus as the prototype, the platform uses the NX MCD mechatronic concept design module to build a three-dimensional virtual model, and endows the model with physical properties by defining rigid bodies, collision bodies, and kinematic joints. At the control level, TIA Portal is used to develop the PLC programs and the HMI interface, and the OPC UA communication protocol is adopted to realize real-time interaction and Virtual–Real linkage between the virtual simulation model and the control system. Experimental results show that the platform not only faithfully reproduces robot training scenarios but also supports functions such as equipment fault simulation. Meanwhile, it reduces equipment usage costs by approximately 60% and shortens the debugging cycle by over 50%, and it significantly improves the safety of practical training. The platform thus provides strong support for robot training in higher vocational colleges.

Keywords

Digital Twin; robot training; NX MCD; virtual commissioning; OPC UA; Virtual-Real linkage

References

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Funding

Chongqing Vocational and Technical College of Industry and Trade Research Project "Research and Design of Robot Training System Based on Digital Twins" (ZR202425)

About the authors

Liu Yu (1988-), male, Tujia ethnicity, from Youyang, Chongqing, teaching assistant, master's student, research interests include AI applications in intelligent manufacturing; Yang Feiru (1989-), male, Han ethnicity, from Yubei, Chongqing, intermediate engineer, bachelor's degree, research interests include intelligent manufacturing technology research and applications.