Research And Design Of Smart Home System Based On ZigBee And STM32

In recent years,with the progress of science and technology,smart home has come out of the lab and it has been getting into families' life.However,most families are still in the traditional way of life.Therefore,after having studied the problems and future trends of smart home system design,a smart home system has been designed based on ZigBee technology,embedded technology and artificial neural network technology.The main contents of the work are as follows:First of all,the development status and the trend of smart home are introduced.The design goals and design principles of the system,the overall design scheme of the system and the function of each part were described in detail.Secondly,the appropriate prediction model of thermal comfort based on RLS-BP neural network algorithm,and the user behavior prediction model based on ART1 adaptive resonance neural network algorithm were established.Thirdly,STM32l476 was selected as the main control chip of the home gateway,ZigBee was selected to network the internal sensors and control devices in the home.Then the peripheral function circuit of the main control chip,the ZigBee minimum system circuit,the selection of the sensor and the design of the interface circuit were introduced.Finally,in the aspect of system software design,the transplant of Free RTOS embedded real-time operating system,the main control chip and the software development process of ZigBee module were described in detail,then the implementation process of Socket communication and the mobile phone client interface design were introduced.The simulation results show that the prediction models can predict the thermal comfort and the behavior of user.These models can improve the intelligence of smart home system.Users can see the parameters of home environment and control the equipments of home by mobile phone.The system has the advantages of simple operation,convenience and practicality.