基于BP神经网络的智能灯光控制系统的研究

Research of Intelligent Lighting Control System Based on BP Neural Network

智能灯光控制系统是智能家居控制系统的重要组成部分;在分析了目前智能灯光控制系统缺陷与不足的基础上,提出了BP神经网络在智能灯光控制系统的应用,将BP算法嵌入到智能灯光控制系统的数据处理模块,提高控制系统对于数据的处理能力;系统通过引入BP神经网络的自学习能力,改善了智能灯光控制系统智能化程度低的问题;通过实验分析,该系统能够提高智能灯光控制系统的智能性,给人们提供了一个舒适的居家灯光环境;同时,BP神经网络在智能灯光控制系统的应用,对于解决智能家居控制系统解决智能化程度低的问题也有一定的促进作用。

Intelligent lighting control system is an important part o{ smart home control system. On the basis of the analysis of the cur- rent intelligent lighting control system defects and shortcomings, BP neural network is used in intelligent lighting control system and BP al- gorithm is embedded in the data processing module of intelligent lighting control system. And the ability of control system for data process ing is improving. Intelligent lighting control system improved the problem of the low intelligence through the introduction of self-learning a- bility of BP neural network. The experimental analysis shows that this system can improve the low intelligence and provide a comfortable home environment lighting. At the same time, it has some role in solving the problem of low intelligence of intelligent home control system.