Optimization of the Digital Twin Platform of the Internet of Things Micro-Lecture System to Assist the Flipped University Business English Classroom

Optimization of the digital twin platform of the Internet of Things micro-lecture system to assist the flipped university business English classroom is focused in this paper. It is required that it can deeply describe and reflect the multi-dimensional attributes and real-time conditions of the physical entities, predict the development trend of physical entities that will consider the issues as the digital twin platform of the Internet of Things micro-lecture system. The digital twin-driven smart watershed platform integrates advanced IoT perception, big data, cloud computing, wireless communication and automatic control technologies. The model is then applied to the business English classroom. Through the ideas, the simulations are shown.