Design and Implementation of Core Processing System for Smart Home Control

Considering the existing defects of smart home control system, this paper aims to research and design a smart home control system. The core processor takes STM32F103 as the platform and designs the smallest system to realize all-round real-time monitoring and control of the home environment. The gateway node includes the main control module, the Ethernet control module, the wireless network module and the main control module to control the data processing, storage and forwarding of the gateway node. PMV prediction adopts BP neural network algorithm, and finds the best model to predict indoor comfort by fitting the relationship between indoor environmental factors. Zigbee technology is used for home network communication, and Android technology is used to complete the control terminal. The test results show that the design scheme of the system is reasonable and basically achieves the design goal of the smart home control system based on Android.