Journal of Engineering Research

The application of digital twin technology in intelligent manufacturing control systems is becoming increasingly widespread, which can significantly improve the efficiency and precision of the manufacturing process. This paper explores the modeling and simulation methods of digital twin technology in intelligent manufacturing control systems, and proposes how to construct accurate virtual models based on real-time data and physical models, and achieve real-time monitoring and optimization of the production process through simulation. This paper analyzes the specific applications of digital twin in intelligent manufacturing, including production process optimization, equipment maintenance prediction, quality control, etc., and proposes the challenges faced by this technology at the present stage and their solutions. Finally, in combination with the future development trend, the potential for the further development of digital twin technology in intelligent manufacturing is discussed.

Digital twin; Intelligent manufacturing; Control system; Modeling; Simulation