Generalized distributed four-domain digital twin system for intelligent manufacturing

Discrete manufacturing workshops are confronted with problems of processing diverse products and strict realtime requirements for data service calculation and manufacturing equipment, which makes it difficult to provide realtime feedback and compensation. In this study, a high-availability, high-performance, and high-concurrency digital twin reference model was constructed to satisfy a large number of manufacturing requirements. A multiterminal real-time interaction model and information aging classification rules for virtual and physical models were established. Moreover, a multiterminal virtual interaction model was proposed, and a generalized distributed computing service digital twinning system was developed. This digital twin system was considered a machine tool box processing line as an actual case. Consequently, a full closed-loop manufacturing process digital twin platform for physical request service, real-time response, and quality information feedback from iterations, which provides case guidance for subsequent factory digital twin systems, was realized. The proposed system can satisfy the requirements of multidevice big data computing services in modern manufacturing plants, as well as multiplatform, low-latency, and high-fidelity information visualization requirements for managers. Thus, this system is expected to play an important role in information factories.

Automated summary

A high-performance digital twin reference model was constructed to address the challenges of real-time feedback and compensation in discrete manufacturing workshops. By establishing a real-time interaction model and information aging classification rules, a fully closed-loop manufacturing process digital twin platform was realized, providing guidance for future factory digital twin systems.