| With the rapid development of science and technology and the improvement of economic level,people have a higher pursuit for quality of life.The emergence of the smart home,users can achieve remote control of home equipments through more interactive methods such as voice interaction,making the control more convenient and practical.Real-time monitoring of the environmental status of the home through mature sensors can improve the safety of the home.Aiming at the single control problem of traditional household equipment,this paper adopts the scenario recognition method to distinguish various actual situations,uses the BP neural network algorithm to train and learn the user’s household equipment use logs,and automatically controls the household equipment according to different scenarios,to realize the linkage of equipment;In view of the characteristics of the complex home environment and many types of equipment,this paper designs a multi-module control system architecture.The main controller module and multiple slave controller modules use LORA for wireless communication to achieve the home system’s intelligent networking;For the man-machine interface of the smart home system,this paper designs a voice interaction module.First,the voice collected by the user is collected by the pickup.The main controller module processes the voice data and sends the recognized instructions to the corresponding slave control.The controller module parses the received data frame from the controller module,controls the corresponding home equipment after passing the verification,and then feeds back the current status to the main controller to implement voice broadcast.In addition to the way of voice interaction,the system can also use the HMI serial screen to remotely control by touch,to achieve a friendly interface display of environmental information such as home status and temperature and humidity.When an emergency situation such as a gas leak or thief breaks in,it can Inform users by voice or text message to process in time,the system can also automatically trigger the corresponding emergency measures to avoid personal or property safety.Finally,the hardware modules and software processes of the entire system are tested and analyzed.The results show that the system can effectively control and monitor various household devices to meet the daily needs of users. |
