Utilizing an Arduino Uno-Based System with Integrated Sensor Data Fusion and Filtration Techniques for Enhanced Air Quality Monitoring in Residential Spaces

This study presents an air quality monitoring system that employs the Arduino Uno microcontroller. The system is augmented with a moving average filter and data fusion techniques from BME680 and CCS811 sensors, which are designed to process and combine data from these sensors. The system was tested...

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Bibliographic Details
Published in:Applied sciences 2024-10, Vol.14 (19), p.9012
Main Authors: Rudavskyi, Ivan, Klym, Halyna, Kostiv, Yuriy, Karbovnyk, Ivan, Zhydenko, Illia, Popov, Anatoli I., Konuhova, Marina
Format: Article
Language:English
Subjects:
Air pollution
air quality
Algorithms
analysis
Atmospheric pressure
Carbon dioxide
Communication
Design
Humidity
Hydrocarbons
Indoor air quality
Interfaces
Internet of Things
Methods
monitoring
Monitoring systems
Pollutants
Sensors
temperature
VOCs
Volatile organic compounds
Wavelet transforms
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Summary:This study presents an air quality monitoring system that employs the Arduino Uno microcontroller. The system is augmented with a moving average filter and data fusion techniques from BME680 and CCS811 sensors, which are designed to process and combine data from these sensors. The system was tested and analyzed empirically across a range of residential environments in order to validate its efficacy. The findings indicated that the typical IAQ level in a bedroom was approximately 20 units. However, this level increased significantly, reaching 140 units, within minutes after the introduction of a 17% perfume spray. In contrast, the use of an aromatic diffuser resulted in a smaller increase in IAQ to 40 units, which returned to normal levels after ventilation. Moreover, the analysis demonstrated that the kitchen and bathroom exhibited inferior air quality in comparison to the bedroom. This was evidenced by elevated VOC and humidity levels, which were observed to be 10–20% higher due to the combined effects of household activities and inadequate ventilation. This study makes a significant contribution to the field of air quality monitoring by proposing a solution that employs sensor technology and data processing methods to enhance the quality of life within residential spaces.
ISSN:2076-3417
2076-3417
DOI:10.3390/app14199012