IOT-Enabled Smart Environmental Monitoring Fo Air Pollution Control

IOT-Enabled Smart Environmental Monitoring for Air Pollution Control

J.Nandhakumari

Assistant Professor, (Department of Mechanical Engineering )

KGiSL Institute of Technology Coimbatore, India nandhakumari.j.@kgkite.ac.in

S.Gokul
(Department of Mechanical Engineering )

KGiSL Institute of Technology Coimbatore, India gokulqwertyhikl@gmail.co

R. Hariharan (Department ofMechanical

Engineering)

KGiSL Institute of Technology Coimbatore, India hariharan202044@gmail.com

S.Syedibrahim

(Department of Mechanical Engineering)

KGiSL Institute of Technology Coimbatore, India syed70596@gmail.com

C.Kavin

(Department of Mechanical

Engineering)

KGiSL Institute of Technology Coimbatore, India monuvj2003@gmail.com

Abstract— Air pollution has become a serious concern in urban environments, affecting both human health and the environment. Traditional air quality monitoring systems are expensive and not suitable for real-time, location-based monitoring. This project proposes an IoT-based air pollution monitoring system that utilizes a ESP 32 microcontroller integrated with various environmental sensors such as the DHT11 (temperature and humidity), MQ-135 (air quality), CO2 sensor, dust sensor, and sound sensor. These sensors continuously gather data, which is processed by the ESP 32 and displayed on an LCD. The data is also uploaded to a cloud platform via the Internet of Things (IoT) for remote monitoring and analysis. This system offers a low-cost, scalable, and real-time solution for monitoring environmental conditions and enhancing public health awareness.process exhibited more uniform elemental.

Air pollution is a critical environmental challenge that poses significant risks to human health and the ecosystem. Traditional methods of monitoring air quality, while effective, are often limited by high costs, lack of real-time data, and inadequate coverage, especially in developing regions. The advent of the Internet of Things (IoT) has paved the way for more efficient, cost-effective, and scalable solutions for air pollution monitoring. IoT-based systems utilize interconnected sensors, microcontrollers, and communication networks to collect and transmit real-time data on various air pollutants, including particulate matter (PM2.5, PM10), carbon monoxide (CO), nitrogen dioxide (NO2), and ozone (O3). This paper explores the potential of IoT in air pollution monitoring, focusing on the technologies involved, system architecture, and the impact of real-time data on public health and policy-making. It also highlights key case studies from smart cities and community-driven initiatives that have successfully implemented IoT- based monitoring systems. Additionally, the paper addresses the challenges and limitations of these systems, including issues related to data accuracy, scalability, power consumption, and security. The future of air pollution monitoring through IoT is poised to benefit from advancements in AI-driven analytics, 5G connectivity, and next- generation sensor technologies, which will enable more precise and widespread monitoring capabilities. Finally, the paper discusses the potential of IoT systems to support regulatory frameworks and empower communities to take proactive measures against air pollution. The findings suggest that IoT-based air pollution monitoring holds immense potential for improving air quality management, empowering