Determination of indoor air quality in collective living spaces utilizing Fuzzy logic analysis

Abstract Individuals collective living spaces might be indoor or outdoor areas. In indoor works, people spend approximately 90% of their time in a closed space. There are many parameters affecting indoor air quality. Among these, for indoor and outdoor, important parameters can be listed as carbon m...

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Autor principal: Çoşgun,Ahmet
Lenguaje:English
Publicado: Escuela de Construcción Civil, Pontificia Universidad Católica de Chile 2020
Materias:
CO2
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-915X2020000300288
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spelling oai:scielo:S0718-915X20200003002882021-02-16Determination of indoor air quality in collective living spaces utilizing Fuzzy logic analysisÇoşgun,Ahmet Public living space Indoor air quality CO2 PM10 Fuzzy Logic Abstract Individuals collective living spaces might be indoor or outdoor areas. In indoor works, people spend approximately 90% of their time in a closed space. There are many parameters affecting indoor air quality. Among these, for indoor and outdoor, important parameters can be listed as carbon monoxide (CO), carbon dioxide (CO2), sulfur dioxide (SO₂), particles, nitrogen oxides (NOx), various microorganisms, harmful allergens, and powders. These are important factors for occurring many acute and chronic diseases at an early age, as babies and children are more sensitive to environmental pollutants. Recently published studies, which report that appendicitis failures might be fatal and air pollution can increase the rate of these failures, are remarkable. There are many negative effects of polluted indoor air on human health such as attention deficit and excessive daytime sleepiness. Moreover, the negative effects of this kind of indoor air quality on human learning and perception can not be neglected. The researchers focusing on indoor air quality are conducting studies showing that air pollution has an effect on physical activity and neurological interaction in humans. Even though air pollutants in outdoor air content were evaluated with fuzzy logic method in many studies, there are quite few studies using the fuzzy approach for indoor air quality. In this study, through the standard formula developed by the United States Environmental Protection Agency (EPA), calculations were made using fuzzy logic in MATLAB utilizing air quality index. In this scope, indoor air quality measurement parameters were evaluated with the “Mamdani” method used in fuzzy logic. Then, the model suitable for the logic structure created with the fuzzy tool in MATLAB was analyzed with the help of Mamdani method, and the suitability of evaluating the indoor air quality with artificial intelligence was investigated. Finally, a set of suggestions has been made evaluating and criticizing the results.info:eu-repo/semantics/openAccessEscuela de Construcción Civil, Pontificia Universidad Católica de ChileRevista de la construcción v.19 n.3 20202020-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-915X2020000300288en10.7764/rdlc.19.3.288
institution Scielo Chile
collection Scielo Chile
language English
topic Public living space
Indoor air quality
CO2
PM10
Fuzzy Logic
spellingShingle Public living space
Indoor air quality
CO2
PM10
Fuzzy Logic
Çoşgun,Ahmet
Determination of indoor air quality in collective living spaces utilizing Fuzzy logic analysis
description Abstract Individuals collective living spaces might be indoor or outdoor areas. In indoor works, people spend approximately 90% of their time in a closed space. There are many parameters affecting indoor air quality. Among these, for indoor and outdoor, important parameters can be listed as carbon monoxide (CO), carbon dioxide (CO2), sulfur dioxide (SO₂), particles, nitrogen oxides (NOx), various microorganisms, harmful allergens, and powders. These are important factors for occurring many acute and chronic diseases at an early age, as babies and children are more sensitive to environmental pollutants. Recently published studies, which report that appendicitis failures might be fatal and air pollution can increase the rate of these failures, are remarkable. There are many negative effects of polluted indoor air on human health such as attention deficit and excessive daytime sleepiness. Moreover, the negative effects of this kind of indoor air quality on human learning and perception can not be neglected. The researchers focusing on indoor air quality are conducting studies showing that air pollution has an effect on physical activity and neurological interaction in humans. Even though air pollutants in outdoor air content were evaluated with fuzzy logic method in many studies, there are quite few studies using the fuzzy approach for indoor air quality. In this study, through the standard formula developed by the United States Environmental Protection Agency (EPA), calculations were made using fuzzy logic in MATLAB utilizing air quality index. In this scope, indoor air quality measurement parameters were evaluated with the “Mamdani” method used in fuzzy logic. Then, the model suitable for the logic structure created with the fuzzy tool in MATLAB was analyzed with the help of Mamdani method, and the suitability of evaluating the indoor air quality with artificial intelligence was investigated. Finally, a set of suggestions has been made evaluating and criticizing the results.
author Çoşgun,Ahmet
author_facet Çoşgun,Ahmet
author_sort Çoşgun,Ahmet
title Determination of indoor air quality in collective living spaces utilizing Fuzzy logic analysis
title_short Determination of indoor air quality in collective living spaces utilizing Fuzzy logic analysis
title_full Determination of indoor air quality in collective living spaces utilizing Fuzzy logic analysis
title_fullStr Determination of indoor air quality in collective living spaces utilizing Fuzzy logic analysis
title_full_unstemmed Determination of indoor air quality in collective living spaces utilizing Fuzzy logic analysis
title_sort determination of indoor air quality in collective living spaces utilizing fuzzy logic analysis
publisher Escuela de Construcción Civil, Pontificia Universidad Católica de Chile
publishDate 2020
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-915X2020000300288
work_keys_str_mv AT co351gunahmet determinationofindoorairqualityincollectivelivingspacesutilizingfuzzylogicanalysis
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