Quadcopter Air Quality Monitoring and Evaluation System

The air we breathe is one of the basic human needs for survival, and since it cannot be seen by the naked eye, it is often ignored. However, air contains different pollutants that could cause problems to human health. This study aimed to monitor the air quality in certain areas with the advantage of the mobility of a drone. The device can monitor areas that were hard to access and did not have an air quality monitoring station. The data read by the sensors were displayed live using a mobile application. By following the Rapid Application Development (RAD) Model, the system's proven capabilities achieved the desired outcome. The Ozone sensor (MQ131) and the laser dust sensor (PM 2.5 Sensor) are connected to the R1 D1 WeMos, together with the ESP8266 that was integrated into the board of R1 D1 WeMos. The ESP8266 module allowed the data read by the sensors to be sent to ThingSpeak, the system's online database, from which the data were retrieved and displayed live on a mobile application created using the MIT App inventor. The demonstration of the working system was done by turning on the sensors first, so the MQ131 could calibrate to make sure that the data read by the sensors were accurate. The significant change in the measurements between the ground level and the air level monitoring was compared and evaluated.

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Publication Details

Published
2025-03-20
DOI
https://doi.org/10.1109/iccae64891.2025.10980587
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Quadcopter Air Quality Monitoring and Evaluation System

Javier Oliván del Cacho, Maribelle Dequilla-Nicerio, James Russel P. Baroro, Ederson A. Caparas
Air Quality Monitoring and Forecasting
article

Quadcopter Air Quality Monitoring and Evaluation System

Javier Oliván del Cacho, Maribelle Dequilla-Nicerio, James Russel P. Baroro, Ederson A. Caparas
article en

Abstract

The air we breathe is one of the basic human needs for survival, and since it cannot be seen by the naked eye, it is often ignored. However, air contains different pollutants that could cause problems to human health. This study aimed to monitor the air quality in certain areas with the advantage of the mobility of a drone. The device can monitor areas that were hard to access and did not have an air quality monitoring station. The data read by the sensors were displayed live using a mobile application. By following the Rapid Application Development (RAD) Model, the system's proven capabilities achieved the desired outcome. The Ozone sensor (MQ131) and the laser dust sensor (PM 2.5 Sensor) are connected to the R1 D1 WeMos, together with the ESP8266 that was integrated into the board of R1 D1 WeMos. The ESP8266 module allowed the data read by the sensors to be sent to ThingSpeak, the system's online database, from which the data were retrieved and displayed live on a mobile application created using the MIT App inventor. The demonstration of the working system was done by turning on the sensors first, so the MQ131 could calibrate to make sure that the data read by the sensors were accurate. The significant change in the measurements between the ground level and the air level monitoring was compared and evaluated.

Malayan Colleges Laguna (PH)
Openalex Percentile: Top 91%
Air Quality Monitoring and Forecasting
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