Journal of Engineering Research

The intelligent production line dynamic optimization system based on digital twin aims to realize the real-time monitoring, prediction and optimization of the production process by constructing a high mapping between the virtual production environment and the real production line. The system uses multi-source data fusion technology and advanced modeling algorithm to accurately simulate the operation state of the production line, and timely adjust the process parameters and resource allocation through dynamic optimization strategy, so as to improve production efficiency, reduce energy consumption and ensure product quality. The research focuses on the digital twin driven closed-loop optimization mechanism, intelligent decision-making model and its application verification in complex manufacturing scenarios, so as to promote the development of manufacturing industry in the direction of high flexibility and high intelligence.

Digital twins; Intelligent production line; Dynamic optimization; Real time simulation; Intelligent decision making