Research and Implementation of Adaptive Control Terminals for Building Space Environment

To enhance the environmental monitoring and automatic regulation capabilities of smart buildings, a building space environment monitoring and adaptive control system with the ESP32 chip at its core has been developed. The system is composed of an environmental information collection module, an ESP32 chip, an output control module, and a smartphone monitoring terminal. It can collect data such as temperature and humidity, light intensity, PM2.5 and CO2 concentrations, and the number of occupants within the building space. Utilizing an embedded machine learning model with the LSTM RNN algorithm, it predicts air quality and automatically adjusts environmental equipment. The system also transmits data to the customer terminal via Wi-Fi, enabling management personnel to view the environmental conditions in real time and remotely control equipment through a web interface. The prototype manufacturing and system testing have confirmed the system's stability, low cost, real-time performance, communication security, reliability, and ease of operation.