Data Vertical Decoupling Digital Twin Aggregation Technology in the Energy Efficiency Internet of Things in Small and Micro Parks

Aiming at the energy efficiency Internet of Things problem in small and micro parks, we build a digital model of energy efficiency Internet of Things in small and micro parks based on the digital twin theory. This paper adopts the embedded cyber-physical fusion system (CPS) for seamless integration and synchronization and uses the twin support vector machine algorithm to predict and manage the energy consumption in real-time operation, and feed it back to the model to form a digital twin framework system. We interpret twin synchronization in terms of behavior real-time mapping, state real-time mapping, and action real-time mapping. The operation of the actual industrial big data platform shows that the use of twin machine learning algorithms can improve the efficiency of fault discrimination and the digital twin system can ensure energy efficiency.