Advanced Air Quality Monitoring System using IoT and Sensor Technology

The rapid growth of industry and cities in today's world has made it more important to keep an eye on air quality in real-time. This promotes environment and public health protection. The proposed model includes air quality using the (IoT) Internet-of-Things and by calibration of sensors. This system gives real time, up to the minute air quality info. It brings together different sensors like DHT11, MQ135 and BMP180 for the analysis of the amount of carbon dioxide (CO2) present, and other parameters like humidity, temperature, and pressure with the combination of ESP32 micro-controller which is a low-cost System-on-Chip (SoC) which includes several features like WiFi Connectivity and low power consumption. It lets the sensors talk to a cloud-based platform Blynk. Quick warnings and predictions tell people whenever their surrounding gets polluted, so officials and locals can act accordingly. It appears that this device can be used to measure the air quality for both indoor and outdoor system and also close to polluted areas, where safety measures can be implemented and precaution can be taken for household near to industrial area. This will assist individuals in determining what safety measures are necessary for those who are close to polluted areas to the certain range of 15m in all directions. This tech fix helps manage air quality and gives communities easy-to-use info about their surroundings to take action.

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Publication Details

Published
2025-02-05
DOI
https://doi.org/10.1109/idciot64235.2025.10915106
Citations
3
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
2.40
Controls
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article

Advanced Air Quality Monitoring System using IoT and Sensor Technology

R. Dayana, Rohan Garg, S. Ankul Singh, Ankur Kumar
3 citations
Air Quality Monitoring and Forecasting
2.40
article

Advanced Air Quality Monitoring System using IoT and Sensor Technology

R. Dayana, Rohan Garg, S. Ankul Singh, Ankur Kumar
article en
3 citations

Abstract

The rapid growth of industry and cities in today's world has made it more important to keep an eye on air quality in real-time. This promotes environment and public health protection. The proposed model includes air quality using the (IoT) Internet-of-Things and by calibration of sensors. This system gives real time, up to the minute air quality info. It brings together different sensors like DHT11, MQ135 and BMP180 for the analysis of the amount of carbon dioxide (CO2) present, and other parameters like humidity, temperature, and pressure with the combination of ESP32 micro-controller which is a low-cost System-on-Chip (SoC) which includes several features like WiFi Connectivity and low power consumption. It lets the sensors talk to a cloud-based platform Blynk. Quick warnings and predictions tell people whenever their surrounding gets polluted, so officials and locals can act accordingly. It appears that this device can be used to measure the air quality for both indoor and outdoor system and also close to polluted areas, where safety measures can be implemented and precaution can be taken for household near to industrial area. This will assist individuals in determining what safety measures are necessary for those who are close to polluted areas to the certain range of 15m in all directions. This tech fix helps manage air quality and gives communities easy-to-use info about their surroundings to take action.

SRM Institute of Science and Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 13%
Air Quality Monitoring and Forecasting
2.40
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Advanced Air Quality Monitoring System using IoT and Sensor Technology — R. Dayana, Rohan Garg, et al. · (2025) | TGRS Research Map | TGRS