Research On Embedded Smart Home System Based On ZIGBEE Technology

With the improvement of life quality,the expectations for intelligent living environment are much higher.In order to meet the demand for intelligent living environment,people put more and more attention on smart home systems.Cable is used in traditional smart home systems,which is high-cost,and lack of expansibility and aesthetic properties.Besides,the traditional systems can only achieve remote control or default parameters of the simple logic control,without the ability to learn.This paper compares the different smart home networking solutions,decideding the ZigBee technology as the basis for the smart home network.Artificial neural networks is used to design a smart home control system.To improve the intelligence of the traditional smart home,the neural network is used as a machine learning algorithm.According to the design scheme of the system,RBF neural network is used to model the temperature and light intensity control,and the feasibility of introducing RBF neural network algorithm in intelligent home system is verified.Then,the algorithm is applied to the main controller Module on the transplant.On the aspect of hardware,the key control module use S3C2440(Samsung)and CC2530(TI)to realize the circuit design of smart network gate and sensors with the assistance of power module,SDRAM,Ethernet module,touch panel module.As for the software,the design achieve the networking programme among different kinds of nodes in ZigBee system by means of the analyzation of Z-Stack.And the relative application software for smart network gate is researched in Linux operating system and embedded Boa servers.In conclusion,the function of hardware and software of the proposed system is tested,and it satisfies the need of new smart home system.