Design And Implementation Of Smart Home Monitoring System Based On 433MHz RF Communication

With the quick development of science and technology recently,more and more attention has been paid to smart home systems that focus on improving the quality of people's indoor living.The most direct influencing factors of people's indoor living quality are the safety of indoor living environment and the quality of indoor environment.At present,most smart home systems on the market monitor the indoor environmental factors in real time,and then adjust the indoor environmental factors through some artificial instructions to achieve a comfortable home environment.The comfortable indoor living environment can relax and relax,and the uneven home environment will make people feel restless and affect people's physical and mental health.Therefore,it is increasingly important to study a method that can scientifically evaluate the comfort in the home environment.In view of the above problems of the smart home monitoring and control system for the thermal comfort of the home environment.This paper designs a monitoring and control system based on 433 MHz wireless radio frequency communication technology and ART adaptive neural network technology for understanding home environmental safety information and comfort.In this paper,BP neural network algorithm and ART adaptive resonance neural network algorithm are used to evaluate the comfort of home environment,which lays a foundation for the establishment of a system based on thermal comfort for home control.Firstly,combined with the specific problems existing in the current home environment,the design requirements of the system are analyzed: each terminal subsystem collects the home environment factor,transmits it to the central control unit,and transmits it to the upper computer software through Wi-Fi.These data are cleaned and normalized by data,and input into the ART adaptive resonance neural network model for testing,thereby predicting the current home environment thermal comfort evaluation level,and displaying it in the upper computer monitoring software,laying the foundation for improving the comfort of the home environment.Secondly,the user can also use the host computer software and the touch screen to issue control commands to each terminal device for timely control.Secondly,by studying the influence of environmental variables on home thermal comfort,we determine the six factors that influence the thermal comfort of the home as control variables,and study the relationship between BP neural network and ART1 adaptive resonance neural network and six influencing factors.The thermal comfort evaluation model was established and experimentally simulated.Although the traditional feedforward BP neural network has high accuracy,it has poor adaptability to various home environment factors.The application of this network in online real-time monitoring system is not satisfactory.The adaptive resonance neural network ART1 established in this paper has good automatic recognition,online learning and real-time response in the home environment thermal comfort evaluation model.The prediction accuracy and convergence time obtained by the network model are more obvious than BP neural network.Thirdly,this study develops a comprehensive design of the hardware circuit of the lower computer.With STM32F103 as the core,the 433 MHz wireless RF communication network is used to realize the standardized networking of the home internal sensors and control devices,and the peripheral circuit design and hardware interface circuit design are introduced in detail,and then the software of the system is designed.In addition,this study also designed a PC monitoring software through VB.The user can view the home environment parameters and control the home equipment through the host computer software.Through a series of verifications,the intelligent predictive algorithm model constructed by this design can predict the thermal comfort of the home environment,which can improve the intelligence of the smart home system to a certain extent.The system is simple in operation,convenient and practical,and has certain market application value.