Stm32-based Home Environment Monitoring And Model Prediction System

A stm32-based home environment monitoring system is designed, which can monitor temperature, humidity, co2 concentration and light intensity in the home, and also monitor data remotely and in real time via cell phone APP. In addition, the system has the ability to send data to the cloud through ESP8266 wifi module, store with mysql database, and display sensor data in real time in the upper computer, and also query historical data in the upper computer for callback display. We also incorporate emerging artificial intelligence techniques to feed the obtained data into a deep learning model to predict the data for the next seven days, so that one can move forward and take appropriate measures. Such systems allow users to respond to changes in their environment to make life more comfortable.