IoT-ENABLED SMART AIR MONITORING SYSTEM FOR REAL-TIME SMOG DETECTION AND POLLUTION MITIGATION

Abstract

Climate action, part of the Sustainable Development Goals (SDGs), targets solutions to combat climate change and its impacts. Urban air pollution and smog, as the prevalent threat to environmental sustainability and human health, have emerged due to rapid industrialization, vehicular emissions, and unrestrained urban growth. Prolonged exposure to air pollutants such as PM2.5, PM10, C,and NOxhave been correlated directly with rising incidents of respiratory diseases, cardiovascular diseases, and diminution of life expectancy.Traditional static air quality monitoring systems are costly, have sparse spatial distributions, and provide no support for real-time decision-making systems. In response to the above limitations, this work intends to propose a novel IoT-based smart weather monitoring system for real-time smog detection and pollution mitigation. The system collects environmental and gas data using low-cost sensors. 

Keywords : 

Fuzzy Inference System, Internet of Things, Air Quality Index, Arduino, Sensors, Smog, Weather