Real-Time Air Quality Monitoring Using Low-Cost Sensors – IoT System

Abstract—The quality of both indoor and outdoor air has been severely impacted,with increasing urban development and industrial emissions. As a result, there is a growing demand for systems capable of continuously monitoring environmental parameters. This project introduces an IoT-enabled air quality monitoring solution that keeps track of atmospheric conditions and promptly issues alerts when air pollution surpasses acceptable levels. A Raspberry Pi 3B serves as the central unit, interfaced with a DHT22 sensor for tracking humidity and temperature and an MQ-2 sensor—connected via an ADS1115 ADC—to detect harmful gases. To ensure user safety, the system includes a buzzer for immediate local alerts and integrates Twilio’s messaging API to send SMS notifications if the Air Quality Index (AQI) drops below 90. Simultaneously, real-time data is uploaded to ThingSpeak for cloud-based visualization and analysis. Compared to conventional systems that are often costly, static, or delayed, this design offers a more practical, economical, and accessible solution for real-time air quality management in homes or small institutions. The project demonstrates the feasibility of a modular, cost-effective monitoring system that can be expanded to meet broader smart city or environmental needs. Keywords: Air Quality Index (AQI), IoT, Raspberry Pi, DHT22, MQ-2, ADS1115, Twilio, ThingSpeak, Real-Time Monitoring, Alert System

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-08
DOI
https://doi.org/10.55041/ijsrem47226
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
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article

Real-Time Air Quality Monitoring Using Low-Cost Sensors – IoT System

R. Pavan
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Air Quality Monitoring and Forecasting
article

Real-Time Air Quality Monitoring Using Low-Cost Sensors – IoT System

R. Pavan
article en

Abstract

Abstract—The quality of both indoor and outdoor air has been severely impacted,with increasing urban development and industrial emissions. As a result, there is a growing demand for systems capable of continuously monitoring environmental parameters. This project introduces an IoT-enabled air quality monitoring solution that keeps track of atmospheric conditions and promptly issues alerts when air pollution surpasses acceptable levels. A Raspberry Pi 3B serves as the central unit, interfaced with a DHT22 sensor for tracking humidity and temperature and an MQ-2 sensor—connected via an ADS1115 ADC—to detect harmful gases. To ensure user safety, the system includes a buzzer for immediate local alerts and integrates Twilio’s messaging API to send SMS notifications if the Air Quality Index (AQI) drops below 90. Simultaneously, real-time data is uploaded to ThingSpeak for cloud-based visualization and analysis. Compared to conventional systems that are often costly, static, or delayed, this design offers a more practical, economical, and accessible solution for real-time air quality management in homes or small institutions. The project demonstrates the feasibility of a modular, cost-effective monitoring system that can be expanded to meet broader smart city or environmental needs. Keywords: Air Quality Index (AQI), IoT, Raspberry Pi, DHT22, MQ-2, ADS1115, Twilio, ThingSpeak, Real-Time Monitoring, Alert System

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 91%
Air Quality Monitoring and Forecasting
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Real-Time Air Quality Monitoring Using Low-Cost Sensors – IoT System — R. Pavan · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS