Design System of IoT-Enabled Early Warning System for Real- Time Air Quality Monitoring Utilizing TGS2600 Sensor Technology

Air quality is a critical factor affecting both human health and the environment, making clean air essential for human survival. Therefore, efforts to monitor and preserve air quality should be a top priority in public health initiatives. In response to this challenge, this study presents a system designed to address air pollution using a TGS2600 sensor integrated with the Internet of Things (IoT). The system employs ESP32 micro controller programming to efficiently detect concentrations of harmful gases, such as carbon monoxide. Real-time air quality data is accessible through the Blynk application, which provides automatic notifications to users when pollution levels increase. Testing results demonstrate the system's effectiveness in raising public awareness about air pollution, enabling rapid preventive actions to safeguard health and the environment. With its high accuracy in pollutant detection, this system offers an innovative solution for air quality management, addressing an increasingly urgent need in the modern era.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836511
Citations
3
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.62
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article

Design System of IoT-Enabled Early Warning System for Real- Time Air Quality Monitoring Utilizing TGS2600 Sensor Technology

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article

Design System of IoT-Enabled Early Warning System for Real- Time Air Quality Monitoring Utilizing TGS2600 Sensor Technology

Luthfi Dwi Pratama, Darmono Darmono, Rizal Justian Setiawan, Khakam Ma'ruf, Fajar Rasyid Ariandhika, Yos Widhiastana
article en
3 citations

Abstract

Air quality is a critical factor affecting both human health and the environment, making clean air essential for human survival. Therefore, efforts to monitor and preserve air quality should be a top priority in public health initiatives. In response to this challenge, this study presents a system designed to address air pollution using a TGS2600 sensor integrated with the Internet of Things (IoT). The system employs ESP32 micro controller programming to efficiently detect concentrations of harmful gases, such as carbon monoxide. Real-time air quality data is accessible through the Blynk application, which provides automatic notifications to users when pollution levels increase. Testing results demonstrate the system's effectiveness in raising public awareness about air pollution, enabling rapid preventive actions to safeguard health and the environment. With its high accuracy in pollutant detection, this system offers an innovative solution for air quality management, addressing an increasingly urgent need in the modern era.

Yogyakarta State University (ID), Universitas Gadjah Mada (ID)
Affordable and clean energy
Openalex Percentile: Top 33%
Air Quality Monitoring and Forecasting
0.62
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