智能家居系统网络的构架与实现

针对当前智能家居系统的的研究状况和存在的问题，研究了智能家居系统的系统架构。对整个系统进行构架设计，采用分布式控制方式。把整个智能系统分解为多个家庭智能子系统。各子系统的智能控制行为通过智能节点来实现。运用模糊神经网络技术对智能家居控制器进行构建。解决了家居控制器的智能分析、判断、自学习、自适应能力问题。满足了智能家居控制的需求，具有较好的经济性和实用性。

Structure and Implementation of Smart Home Network Systems

According to the problems of the current smart home systems,the architecture of smart home system has been researched. By distributed control, all systems were designed. The whole smart system disassemble into several family subsystem. Intelligent comprehensive of every control function of each subsystem were implemented by the nodes. The method has been put forward that we can transform the smart home controller using the technology of the fuzzy neural network. It solved the problems of home controller that how to get self-learned, self-adaptive, intelligent analysis and judge capacity, satisfy with the demands of the intelligent control and have better economy and practicality.