Design of Intelligent Classroom Energy Management System

In recent years, with the rapid development of society and technology, the size of teaching facilities in colleges and universities has continued to expand, and most of the energy management in teaching areas is still controlled by people, leading to problems such as low management efficiency and serious energy waste. To address these types of problems, an intelligent classroom management system is proposed in this paper, which is based on the efficient implementation of low-complexity convolutional neural networks in STM32H7 series microprocessors and the coordination of each sensing module. The system has the option to automatically detect changes in the classroom environment to control the switching of various energy sources, or to remotely control the switching of the energy system via Wi-Fi from a mobile phone terminal. After testing, the system can efficiently and automatically manage the classroom energy system.