Construction of digital twin system for mechanical safety test bed

Abstract:
This paper proposes a digital twin system for safety early warning visualization, with an aim to stimulate a safety-conscious mindset among students and researchers during product design. The digital twin system of the final mechanical safety test bed is developed based on the digital twin theory. First, a digital twin is established for the experimental platform and scene in the twin layer. Second, data is acquired from the manipulator, controller and sensor, using the Internet of Things (IoT) platform. Finally, the collected data is used to drive the model to synchronize with reality, realize the mapping of the twin model to the physical object, and form the digital twin system of the final mechanical safety test bed. The research results show that the twin system can enhance the breadth and depth of teaching materials for mechanical safety as well as the cutting-edge nature of teaching methods. Students can also gain a deeper understanding of the concept of digital twins.