IOT Enabled Air Quality Monitoring System

Pollution poses one of the most significant threats to our environment, with various types of pollution impacting the Earth’s well-being. In the context of our project, we primarily address air pollution, which is a major concern. Air pollution is responsible for causing numerous health issues in both humans and animals, including respiratory problems. Polluted air con- tains a mixture of harmful gases such as CO2, CO, SO2, smoke, and benzene. To mitigate the effects of these pollutants, we must take measures like avoiding areas with high levels of polluted air. To implement these measures effectively, we require instruments to measure air quality. As a technical solution, we have chosen to develop an Air Quality Index (AQI) system based on the Internet of Things (IoT). This approach is cost-effective, decentralized, efficient, and portable, providing a significant improvement over the traditional method of using complex laboratory equipment, which is both costly and lacks portability. Our project focuses on implementing an AQI system using IoT technology, aiming to transfer data from sensors to an application or web server via the Internet. This technological advancement allows individuals to check air quality in their surroundings easily, offering valuable information for making decisions about their safety. For instance, while travelling in a car, users can quickly assess the air quality index, and if the particulate matter concentration exceeds 1000 ppm, they can identify the air as harmful. We plan to use an Arduino Uno microcontroller for this purpose, as it offers a suitable platform for programming in C and C++ and is supported by a thriving community and libraries.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-26
DOI
https://doi.org/10.55041/ijsrem43010
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

IOT Enabled Air Quality Monitoring System

Akash J. Patel
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Air Quality Monitoring and Forecasting
article

IOT Enabled Air Quality Monitoring System

Akash J. Patel
article en

Abstract

Pollution poses one of the most significant threats to our environment, with various types of pollution impacting the Earth’s well-being. In the context of our project, we primarily address air pollution, which is a major concern. Air pollution is responsible for causing numerous health issues in both humans and animals, including respiratory problems. Polluted air con- tains a mixture of harmful gases such as CO2, CO, SO2, smoke, and benzene. To mitigate the effects of these pollutants, we must take measures like avoiding areas with high levels of polluted air. To implement these measures effectively, we require instruments to measure air quality. As a technical solution, we have chosen to develop an Air Quality Index (AQI) system based on the Internet of Things (IoT). This approach is cost-effective, decentralized, efficient, and portable, providing a significant improvement over the traditional method of using complex laboratory equipment, which is both costly and lacks portability. Our project focuses on implementing an AQI system using IoT technology, aiming to transfer data from sensors to an application or web server via the Internet. This technological advancement allows individuals to check air quality in their surroundings easily, offering valuable information for making decisions about their safety. For instance, while travelling in a car, users can quickly assess the air quality index, and if the particulate matter concentration exceeds 1000 ppm, they can identify the air as harmful. We plan to use an Arduino Uno microcontroller for this purpose, as it offers a suitable platform for programming in C and C++ and is supported by a thriving community and libraries.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 94%
Air Quality Monitoring and Forecasting
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