Journal of Electrical Engineering and Automation

At present, the production management of mechanical and electrical engineering faces issues such as low equipment maintenance efficiency, inaccurate production scheduling, lagging quality control, and insufficient resource optimization. Digital twin technology, through the interaction between virtual models and physical entities, has realized real-time monitoring of equipment status, dynamic optimization of production plans, proactive quality control, and precise resource allocation. This has significantly improved production efficiency and quality stability. In the future, digital twin technology will be deeply integrated with the Internet of Things, big data, and artificial intelligence. It will be extended to the full lifecycle management of products and play a greater role in cross-industry collaboration and green manufacturing, driving the manufacturing industry towards intelligent, efficient, and sustainable development.

Digital Twin; Mechanical and Electrical Engineering; Production Management; Innovative Applications; Intelligence