Research on a Real-Time Control System for Discrete Factories Based on Digital Twin Technology
Source abstract
Abstract
Gear factories are most typical discrete manufacturing factories. Many gear factories are striving to explore how to achieve intelligent manufacturing in order to improve efficiency and reduce costs. Digital twin technology is currently one of the most reliable ways to achieve intelligent manufacturing. This article aims to establish a real-time control system in order to promote intelligent manufacturing for discrete manufacturing factories. Firstly, a model for a digital twin gear factory is put forward based on the characteristics of gear factories, and the composition of a real-time control system for gear factories is clarified. Then, a human–computer interaction architecture for the real-time control system is proposed. The real-time control system consists of three parts as follows: a monitoring module, a virtualizing module, and a controlling module. At work, it appears as a kind of human–machine interaction form with the three following interfaces: a monitoring window, a virtualizing window, and a controlling window. Finally, a gear factory, which is specialized in manufacturing the intermediate shaft dual gear of a new energy vehicle gearbox, develops a set of software for the real-time control system. The prototype software is obtained through some development activities such as 3D MAX and WebGL virtualization modeling and OPC UA and REST communication design.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Engineering Technology and Methodologies · Manufacturing Process and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310032, China
Funding
National High-tech R&D Program of China · National Natural Science Foundation of China
References (23)
Show source-provided references
1. Research on the ecological environment of my country’s manufacturing industry
2. Research on the strategy of improving product quality by using quality control Technology
3. An architecture of an intelligent digital twin in a cyber-physical production system
4. Characterising the Digital Twin: A systematic literature review10.1016/j.cirpj.2020.02.002 ↗
5. Information model of a digital process twin for machining processes
6. Grieves, M. (2011). Virtually Perfect: Driving Innovative and Lean Products through Product Lifecycle Management. [Master’s Thesis, Space Coast Press].
7. The digital twin: Demonstrating the potential of real-time data acquisition in production systems10.1016/j.promfg.2017.04.043 ↗
8. Digital twins data modeling with automation ML and a communication methodology for data exchange10.1016/j.ifacol.2016.11.115 ↗
9. Tolerancing: Managing uncertainty form conceptual design to final product10.1016/j.cirp.2018.05.009 ↗
10. Digital twin factory: A new paradigm for future factory
11. Schluse, M., Atorf, L., and Rossmann, J. (2017, January 24–27). Experimentable digital twins for model-based systems engineering and simulation-based development. Proceedings of the 2017 Annual IEEE International Systems Conference (SysCon), Montreal, QC, Canada.10.1109/SYSCON.2017.7934796 ↗
12. Schluse, M., and Rossmann, J. (2016, January 3–5). From simulation to experimentable digital twins simulation-based development and operation of complex technical systems. Proceedings of the 2016 IEEE International Symposium on Systems Engineering (ISSE), Edinburgh, UK.10.1109/SysEng.2016.7753162 ↗
13. Five dimension digital twin model and its ten applications
14. Design and construction of digital twin laboratory model based on SAMP of Chinese academy of sciences
15. Research on 3D detection and interaction algorithm of production line based on digital twin
16. Nguyen, N.T., Leu, M.C., and Liu, X.F. (November, January 30). Real-time communication for manufacturing cyber-physical systems. Proceedings of the 2017 IEEE 16th International Symposium on Network Computing and Applications, Cambridge, MA, USA.10.1109/NCA.2017.8171361 ↗
17. Åkerman, M., Stahre, J., Engström, U., Angelsmark, O., McGillivray, D., Holmberg, T., Bärring, M., Lundgren, C., Friis, M., and Fast-Berglund, Å. (2018). Technical interoperability for machine connectivity on the shop floor. Technologies, 6.10.20944/preprints201805.0075.v1 ↗
18. Integrating a dynamic simulator and advanced process control using the OPC UA standard10.1016/j.promfg.2019.06.200 ↗
19. An investigation on database connections in OPC UA applications10.1016/j.procs.2020.03.132 ↗
20. Flexibility enhancements in digital manufacturing by means of ontological data modeling10.1016/j.procs.2019.08.043 ↗
21. Product quality management model based on digital twins
22. Liu, X.Q. (2021). Design of Automobile Gear Manufacturing Workshop Based on Digital Twin. [Master’s Thesis, Zhejiang University of Technology].
23. Zhang, M. (2022). Research on Digital Twin Workshop of New Energy Vehicle Intermediate Shaft. [Master’s Thesis, Zhejiang University of Technology].