基于BP神经网络的智能环境光控制系统设计

Design of Intelligent Environmental Light Control System Based on BP Neural Network

基于ARM926EJ-S内核的NUC980DK61YC、BP神经网络、DALI总线技术、CAN总线技术、传感器技术,设计智能环境光控制系统,系统由智能主机、环境光及温度传感器、DALI电源驱动、用户软件组成。完成了整套系统的软硬件设计:将openwrt操作系统移植到ARM平台;在openwrt基础上运行python;建立CAN Bus与DALI通信网络;指定通信协议;完成主机及终端设备的程序设计。最后,重点测试神经网络对传感器数据的分析进而教调屋内光环境。测试结果表明,通过神经网络算法可以通过获取传感器数据进行学习分析,进而有效改善室内光环境。

Based on NUC980DK61YC of ARM926EJ-S kernel,neural network technology,DALI bus technology,CAN bus technology,national secret algorithm and sensor technology,the intelligent environmental light control system is designed.The system is composed of intelligent host,environmental light and temperature sensor,DALI power driver,CAN panel and user software.The software and hardware design of the whole system was completed:the openwrt operating system was transplanted to the ARM plaform;Running python on top of openwrt;Establish the communication network between the CAN Bus and DALI;Specify the communication protocol;Complete the program design of the host and terminal equipment.Finally,the focus is on testing the neural network analysis of sensor data to tune the indoor light environment.The test results show that the neural network algorithm can learn and analyze the sensor data and improve the indoor light environment effectively.