基于ZigBee的智慧教室节能系统研究

针对高校教室电能浪费问题，设计一种基于ZigBee的智慧教室节能系统；系统以STM32作为主控单元，由ZigBee协调器和终端节点形成的局域网络构成感知执行层，并通过Wi-Fi网络和云平台，实现控制中心对教室用电设备的状态感知和智慧控制；同时针对温控设备功率有限以及室内复杂的温度干扰环境而导致室内温度无法稳定保持在合适范围，基于KNN算法构建NARX神经网络温度预测模型，实现利用已有环境数据预测下一时刻温度，以达到对教室内温度的准确控制；最后，对系统功能和改进预测算法进行了实验验证，运行结果表明该系统可以稳定运行，并可以达到精确控制用电设备实现节约电能的目的。

Research on Intelligent classroom energy saving system based on ZigBee

Aiming at the problem of energy waste in college classrooms, a smart classroom energy saving system based on ZigBee is designed. The system takes STM32 as the main control unit, and the local area network formed by ZigBee coordinator and terminal nodes constitutes the perception and execution layer. Through Wi-Fi network and cloud platform, the control center realizes the state perception and intelligent control of classroom electrical equipment. At the same time, aiming at the limited power of the temperature control equipment and the complex temperature interference environment in the room, the indoor temperature cannot be maintained in the appropriate range stably. Based on KNN algorithm, the NARX neural network temperature prediction model is constructed to realize the use of existing environmental data to predict the temperature at the next moment, so as to achieve accurate control of the temperature in the classroom. Finally, the function of the system and the improved prediction algorithm are verified by experiments. The running results show that the system can run stably and achieve the purpose of accurately controlling the electrical equipment and saving energy.