IoT-Based Intelligent System for Monitoring and Predicting Urban Air Pollution: Spatial and Temporal Analysis in Seoul

Abstract

Urban air pollution constitutes a critical challenge for public health and environmental sustainability, while traditional monitoring approaches present limitations in coverage, timeliness, and data quality. In this context, the objective of this research was to develop and implement an IoT-based intelligent system for monitoring and analyzing air pollution in the city of Seoul, integrating data acquisition, cloud storage, analytical visualization, and experimental evaluation of its performance.