3. Research on developing an embedded IoT system integrated with AI for real-time environmental air quality monitoring - a pilot application in Hanoi

Abstract

Air pollution, particularly fine particulate matter (PM2.5), poses a serious challenge in major cities such as Hanoi. This study develops an air quality monitoring system based on Internet of Things (IoT) technology, enabling real-time collection and analysis of air quality data, including parameters such as PM2.5, CO₂, temperature, and humidity. The system was tested in Hanoi and integrated with time series forecasting models AutoRegressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) to provide predictions of future pollution trends. Experimental results demonstrate the system’s capability for accurate monitoring and forecasting, thereby supporting governmental agencies in implementing timely preventive measures.