D&R of Digital Twin-based Intelligent Control Practical Training System

Abstract

The manufacturing industry is gradually reforming in the direction of intelligent digitalization. The traditional automation control technology and virtual simulation technology cannot intuitively reflect the operation working state of the actual equipment in the intelligent manufacturing production line in order to solve the problems of low intelligence level, lack of 3D visualization function, and poor sense of interactive experience in the traditional manufacturing system. In this paper, we design a digital twin intelligent control training system based on digital twin technology and determine the overall framework of the system and the corresponding modules and functions. The static virtual model of the twin system is constructed using 3dMAX software, the UI visualization of the dynamic interactive twin system is built using the unity development platform, and the OPC UA based industrial IoT real-time data acquisition method is proposed. The digital twin module establishes the data acquisition framework to connect the actual production line with the virtual production line to realize real-time data signal acquisition and control and complete the digital twin and data fusion. The experimental results show that the system can realize intelligent control of production line visualization production and intuitively reflect the operation status of the equipment. The system is used to teach practical training courses in colleges and universities. Students can obtain the real-time operation status of production plants in the physical world through the models, movements, data, and other information displayed by the digital twin, which increases students' practical operation ability and improves the teaching effect, and lays the foundation for further expanding the application fields of digital twin technology.