Innovative Strategies For Smart Microclimate Regulation And Sustainability
Keywords:
Smart system, air purification, artificial intelligenceAbstract
The increasing air pollution in urbanization and industrial areas requires the development of smart air purification systems with real-time monitoring and automatic control. In this study, a Smart Microclimate based on IoT (Internet of Things) and artificial intelligence technologies was designed, implemented and tested. The proposed system consists of environmental sensors (PM2.5, CO₂, temperature, humidity), a control unit based on the ESP32 microcontroller, and a two-stage HEPA and activated carbon filtration mechanism. The artificial intelligence algorithm developed on the TensorFlow platform analyzes the pollution level and automatically adjusts the system's operating mode. The data collected by the system is sent to a cloud server for monitoring via a mobile application. Experiments conducted in laboratory conditions showed a reduction of up to 88% of PM2.5 particles in 20 minutes. The results of the study confirm the high efficiency of the system in improving air quality and indicate its applicability in residential areas, schools, hospitals, and industrial facilities.
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