Use of Arduino for Monitoring the Air Quality of Indoor Environments

In this work, a prototype was developed to assess indoor air quality using an Arduino system. The system is based on the measurement of the light level, smoke concentration, temperature and air humidity. A thermal comfort index (TCI) was proposed, where a scale from 0 to 1 based on the weighted ave...

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Main Authors: Felipe Macedo Freitas Siqueira, Lizandro de Sousa Santos
Format: Article
Language:English
Published: Universidade Federal de Viçosa (UFV) 2022-12-01
Series:The Journal of Engineering and Exact Sciences
Subjects:
Online Access:https://periodicos.ufv.br/jcec/article/view/15050
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author Felipe Macedo Freitas Siqueira
Lizandro de Sousa Santos
author_facet Felipe Macedo Freitas Siqueira
Lizandro de Sousa Santos
author_sort Felipe Macedo Freitas Siqueira
collection DOAJ
description In this work, a prototype was developed to assess indoor air quality using an Arduino system. The system is based on the measurement of the light level, smoke concentration, temperature and air humidity. A thermal comfort index (TCI) was proposed, where a scale from 0 to 1 based on the weighted average of the individual indices was developed. Another approach, based on artificial neural networks, was formulated in which the parameters were used as input arguments of the network and the TCI was used as a target parameter. The response of the two models was compared, where it was possible to observe that the TCI values calculated by the network were considerably close to the values obtained by the deterministic model, with MSE of 1.73?10-5.
format Article
id doaj-art-a1edbaaf6ecb4f0c9d2d76dad5c44881
institution Kabale University
issn 2527-1075
language English
publishDate 2022-12-01
publisher Universidade Federal de Viçosa (UFV)
record_format Article
series The Journal of Engineering and Exact Sciences
spelling doaj-art-a1edbaaf6ecb4f0c9d2d76dad5c448812025-02-02T19:55:37ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752022-12-0181110.18540/jcecvl8iss11pp15050-01eUse of Arduino for Monitoring the Air Quality of Indoor Environments Felipe Macedo Freitas Siqueira0Lizandro de Sousa Santos1Universidade Federal Fluminense, Brazil Universidade Federal Fluminense, Brazil In this work, a prototype was developed to assess indoor air quality using an Arduino system. The system is based on the measurement of the light level, smoke concentration, temperature and air humidity. A thermal comfort index (TCI) was proposed, where a scale from 0 to 1 based on the weighted average of the individual indices was developed. Another approach, based on artificial neural networks, was formulated in which the parameters were used as input arguments of the network and the TCI was used as a target parameter. The response of the two models was compared, where it was possible to observe that the TCI values calculated by the network were considerably close to the values obtained by the deterministic model, with MSE of 1.73?10-5. https://periodicos.ufv.br/jcec/article/view/15050ArduinoMachine LearningProcess Control
spellingShingle Felipe Macedo Freitas Siqueira
Lizandro de Sousa Santos
Use of Arduino for Monitoring the Air Quality of Indoor Environments
The Journal of Engineering and Exact Sciences
Arduino
Machine Learning
Process Control
title Use of Arduino for Monitoring the Air Quality of Indoor Environments
title_full Use of Arduino for Monitoring the Air Quality of Indoor Environments
title_fullStr Use of Arduino for Monitoring the Air Quality of Indoor Environments
title_full_unstemmed Use of Arduino for Monitoring the Air Quality of Indoor Environments
title_short Use of Arduino for Monitoring the Air Quality of Indoor Environments
title_sort use of arduino for monitoring the air quality of indoor environments
topic Arduino
Machine Learning
Process Control
url https://periodicos.ufv.br/jcec/article/view/15050
work_keys_str_mv AT felipemacedofreitassiqueira useofarduinoformonitoringtheairqualityofindoorenvironments
AT lizandrodesousasantos useofarduinoformonitoringtheairqualityofindoorenvironments