By using meteorological data and fine dust prediction systems, we aim to predict and respond to the inflow of external fine dust in advance. 

Using fine dust concentration monitoring systems and smart air purification systems, we can reduce air pollution and prevent health damage. 

Simulating and analyzing the causes of temperature inversion and the accumulation of air pollutants.

Analyzing the relationship between fine dust concentration and temperature inversion.

Studying the correlation between temperature inversion and air quality.

Smart Traffic System: Reduce traffic congestion to lower fine dust emissions.

Smart Air Purification System: Install air purifiers to improve air quality in public spaces and indoor environments.

Smart Data Analysis System: Design a system to collect and analyze air pollution data in real-time.

Building a real-time air quality monitoring system using IoT sensors.

Predicting and monitoring the occurrence of temperature inversion and fine dust concentration in real-time.

Creating a data analysis system to predict and improve air quality in a smart city.