Research on real-time status visualization of intelligent manufacturing production line based on digital twin

Xinyi Liu; Wei Zhao; Taiyong Wang; Mingliang Zheng; Taihu Lian; Meng Ran; Zikuan Zhang; Pengxin Liu

doi:10.1117/12.2652433

20 October 2022 Research on real-time status visualization of intelligent manufacturing production line based on digital twin

Xinyi Liu, Wei Zhao, Taiyong Wang, Mingliang Zheng, Taihu Lian, Meng Ran, Zikuan Zhang, Pengxin Liu

Author Affiliations +

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123502U (2022) https://doi.org/10.1117/12.2652433
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

In order to meet the monitoring requirements of the upper management of the enterprise for the production status of the production line, research on the real-time status visualization of the intelligent manufacturing production line based on digital twin is carried out. First, the visualization system architecture of intelligent manufacturing production line based on digital twin is built, and its key realization process is clarified; then, it focuses on three key technologies: real-time collection method of production data based on CNC (Computer numerical control) system and RFID technology, data management based on MySQL, information visualization and push, which elaborates the visualization method in detail. Finally, the automation production line of an intelligent manufacturing laboratory in a university is taken as an application case to realize its visualization.

Citation Download Citation

Xinyi Liu, Wei Zhao, Taiyong Wang, Mingliang Zheng, Taihu Lian, Meng Ran, Zikuan Zhang, and Pengxin Liu "Research on real-time status visualization of intelligent manufacturing production line based on digital twin", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123502U (20 October 2022); https://doi.org/10.1117/12.2652433

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