Design and evaluation of a smart indoor air quality monitoring system

dc.citation.epage30
dc.citation.issue3
dc.citation.journalTitleВимірювальна техніка та метрологія
dc.citation.spage23
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.affiliationUniversity of Latvia
dc.contributor.authorRudavskyi, Ivan
dc.contributor.authorKlym, Halyna
dc.contributor.authorPopov, Anatoliy
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2024-03-11T09:15:13Z
dc.date.available2024-03-11T09:15:13Z
dc.date.created2023-02-28
dc.date.issued2023-02-28
dc.description.abstractThis paper presents the design and development of an intelligent air quality monitoring system that utilizes the widely adopted and versatile Arduino Uno microcontroller as its foundational platform. The system underwent comprehensive testing procedures to ensure its adherence to specified requirements. Moreover, a series of experiments were conducted in diverse areas of a residential environment to generate datasets for various air quality indicators. The research findings showcase the potential of the developed system in accurately monitoring and assessing indoor air quality in real time. Enhancing indoor air quality plays a crucial role in mitigating the transmission of common airborne viruses and pollutants, thus significantly benefiting respiratory health.
dc.format.extent23-30
dc.format.pages8
dc.identifier.citationRudavskyi I. Design and evaluation of a smart indoor air quality monitoring system / Ivan Rudavskyi, Halyna Klym, Anatoliy Popov // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 3. — P. 23–30.
dc.identifier.citationenRudavskyi I. Design and evaluation of a smart indoor air quality monitoring system / Ivan Rudavskyi, Halyna Klym, Anatoliy Popov // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 3. — P. 23–30.
dc.identifier.doidoi.org/10.23939/istcmtm2023.03.023
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/61440
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofВимірювальна техніка та метрологія, 3 (84), 2023
dc.relation.ispartofMeasuring Equipment and Metrology, 3 (84), 2023
dc.relation.references[1] Z. Liu, G. Wang, L. Zhao, G. Yang, Multi-Points Indoor Air Quality Monitoring Based on Internet of Things [J]. IEEE Access 9, 2169–3536 (2021). DOI: 10.1109/ACCESS. 2021.3073681 https://ieeexplore.ieee.org/document/9406012
dc.relation.references[2] C. De Capua, G. Fulco, M. Lugarà, F. Ruffa, An Improvement Strategy for Indoor Air QualityMonitoring Systems [J]. Sensors, 23(8), 3999 (2023). DOI: 10.3390/s23083999 https://www.mdpi.com/1424-8220/23/8/3999
dc.relation.references[3] D. Bousiotis, L. N. S. Alconcel, D. C. Beddows, R. M. Harrison, F. D. Pope, Monitoring and apportioning sources of indoor air quality using low-cost particulate matter sensors [J]. Environment International, 174, 107907 (2023). DOI: 10.1016/j.envint.2023.107907 https://www.sciencedirect.com/science/article/pii/S0160412023001800
dc.relation.references[4] A. Fazziki, Dj. Benslimance, A. Sadiq, J. Ouarzazi, M. Sadgal, An Agent-Based Traffic Regulation System for the Roadside Air Quality Control [J]. IEEE Access 5, 13192–13201 (2017). DOI: 10.1109/ACCESS.2017.2725984 https://ieeexplore. ieee.org/document/7974743
dc.relation.references[5] A. Hemoud, L. Awadi, A. Khayat, W. Behbehani, Streamlining IAQ guidelines and investigating the effect of door opening/closing on concentrations of VOCs, formaldehyde, and NO2 in office buildings [J]. Building and Environment 137, 127–137 (2018). DOI: 10.1016/j.buildenv.2018.03.029 https://www.sciencedirect.com/science/article/abs/pii/S0360132318301641
dc.relation.references[6] J. Jo, B. Jo, J. Kim, S. Kim, W. Han, Development of an IoTBased Indoor Air Quality Monitoring Platform [J]. Sensors and Applications in Agricultural and Environmental Monitoring 2020, (2020). DOI: 10.1155/2020/8749764 https://www.hindawi.com/journals/js/2020/8749764
dc.relation.references[7] M. Khatib, H. Haick, Sensors for volatile organic compounds [J]. ACS nano, 16(5), 7080–7115 (2022). DOI: 10.1021/acsnano.1c10827 https://pubs.acs.org/doi/abs/10.1021/acsnano.1c10827
dc.relation.references[8] H. Guo, S. C. Lee, L. Y. Chan, W. M. Li, Risk assessment of exposure to volatile organic compounds in different indoor environments. Environmental Research, 94(1), 57–66 (2004). DOI: 10.1016/S0013-9351(03)00035-5 https://www.sciencedirect.com/science/article/abs/pii/S0013935103000355
dc.relation.references[9] F. Hung, K. Tsang, C. Wu, Y. Liu, H. Wang, H. Zhu, C. Koo, W.Wang, An Adaptive Indoor Air QualityControl Scheme for Minimizing Volatile Organic Compounds Density [J]. IEEE Access 8, 22357–22365 (2020). DOI: 10.1109/ ACCESS. 2020.2969212 https://ieeexplore.ieee.org/document/8968426
dc.relation.references[10] A. Yahiaoui, Modeling and Control of Hybrid Ventilation in a Building With Double Skin Façade [J]. IEEE Access 8, 184172–184186 (2020). DOI: 10.1109/ ACCESS. 2020.3024260 https://ieeexplore.ieee.org/document/9197637
dc.relation.references[11] D. Wall, P. McCullagh, I. Cleland, R. Bond, Development of an Internet of Things solution to monitor and analyze indoor air quality [J]. Internet of Things 14, 100392 (2021). DOI: 10.1016/j.iot.2021.100392 https://www.sciencedirect.com/science/article/pii/S2542660521000366
dc.relation.references[12] A. Chamseddine, I. Alameddine, M. Hatzopoulou, M. El-Fadel, Seasonal variation of air quality in hospitals with indoor–outdoor correlations [J]. Building and Environment 148, 689–700 (2019). DOI: 10.1016/j.buildenv.2018.11.034 https://www.sciencedirect.com/science/article/abs/pii/S0360132318307297
dc.relation.referencesen[1] Z. Liu, G. Wang, L. Zhao, G. Yang, Multi-Points Indoor Air Quality Monitoring Based on Internet of Things [J]. IEEE Access 9, 2169–3536 (2021). DOI: 10.1109/ACCESS. 2021.3073681 https://ieeexplore.ieee.org/document/9406012
dc.relation.referencesen[2] C. De Capua, G. Fulco, M. Lugarà, F. Ruffa, An Improvement Strategy for Indoor Air QualityMonitoring Systems [J]. Sensors, 23(8), 3999 (2023). DOI: 10.3390/s23083999 https://www.mdpi.com/1424-8220/23/8/3999
dc.relation.referencesen[3] D. Bousiotis, L. N. S. Alconcel, D. C. Beddows, R. M. Harrison, F. D. Pope, Monitoring and apportioning sources of indoor air quality using low-cost particulate matter sensors [J]. Environment International, 174, 107907 (2023). DOI: 10.1016/j.envint.2023.107907 https://www.sciencedirect.com/science/article/pii/S0160412023001800
dc.relation.referencesen[4] A. Fazziki, Dj. Benslimance, A. Sadiq, J. Ouarzazi, M. Sadgal, An Agent-Based Traffic Regulation System for the Roadside Air Quality Control [J]. IEEE Access 5, 13192–13201 (2017). DOI: 10.1109/ACCESS.2017.2725984 https://ieeexplore. ieee.org/document/7974743
dc.relation.referencesen[5] A. Hemoud, L. Awadi, A. Khayat, W. Behbehani, Streamlining IAQ guidelines and investigating the effect of door opening/closing on concentrations of VOCs, formaldehyde, and NO2 in office buildings [J]. Building and Environment 137, 127–137 (2018). DOI: 10.1016/j.buildenv.2018.03.029 https://www.sciencedirect.com/science/article/abs/pii/S0360132318301641
dc.relation.referencesen[6] J. Jo, B. Jo, J. Kim, S. Kim, W. Han, Development of an IoTBased Indoor Air Quality Monitoring Platform [J]. Sensors and Applications in Agricultural and Environmental Monitoring 2020, (2020). DOI: 10.1155/2020/8749764 https://www.hindawi.com/journals/js/2020/8749764
dc.relation.referencesen[7] M. Khatib, H. Haick, Sensors for volatile organic compounds [J]. ACS nano, 16(5), 7080–7115 (2022). DOI: 10.1021/acsnano.1c10827 https://pubs.acs.org/doi/abs/10.1021/acsnano.1c10827
dc.relation.referencesen[8] H. Guo, S. C. Lee, L. Y. Chan, W. M. Li, Risk assessment of exposure to volatile organic compounds in different indoor environments. Environmental Research, 94(1), 57–66 (2004). DOI: 10.1016/S0013-9351(03)00035-5 https://www.sciencedirect.com/science/article/abs/pii/S0013935103000355
dc.relation.referencesen[9] F. Hung, K. Tsang, C. Wu, Y. Liu, H. Wang, H. Zhu, C. Koo, W.Wang, An Adaptive Indoor Air QualityControl Scheme for Minimizing Volatile Organic Compounds Density [J]. IEEE Access 8, 22357–22365 (2020). DOI: 10.1109/ ACCESS. 2020.2969212 https://ieeexplore.ieee.org/document/8968426
dc.relation.referencesen[10] A. Yahiaoui, Modeling and Control of Hybrid Ventilation in a Building With Double Skin Façade [J]. IEEE Access 8, 184172–184186 (2020). DOI: 10.1109/ ACCESS. 2020.3024260 https://ieeexplore.ieee.org/document/9197637
dc.relation.referencesen[11] D. Wall, P. McCullagh, I. Cleland, R. Bond, Development of an Internet of Things solution to monitor and analyze indoor air quality [J]. Internet of Things 14, 100392 (2021). DOI: 10.1016/j.iot.2021.100392 https://www.sciencedirect.com/science/article/pii/S2542660521000366
dc.relation.referencesen[12] A. Chamseddine, I. Alameddine, M. Hatzopoulou, M. El-Fadel, Seasonal variation of air quality in hospitals with indoor–outdoor correlations [J]. Building and Environment 148, 689–700 (2019). DOI: 10.1016/j.buildenv.2018.11.034 https://www.sciencedirect.com/science/article/abs/pii/S0360132318307297
dc.relation.urihttps://ieeexplore.ieee.org/document/9406012
dc.relation.urihttps://www.mdpi.com/1424-8220/23/8/3999
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0160412023001800
dc.relation.urihttps://ieeexplore
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S0360132318301641
dc.relation.urihttps://www.hindawi.com/journals/js/2020/8749764
dc.relation.urihttps://pubs.acs.org/doi/abs/10.1021/acsnano.1c10827
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S0013935103000355
dc.relation.urihttps://ieeexplore.ieee.org/document/8968426
dc.relation.urihttps://ieeexplore.ieee.org/document/9197637
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2542660521000366
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S0360132318307297
dc.rights.holder© Національний університет “Львівська політехніка”, 2023
dc.subjectanalysis
dc.subjectair quality
dc.subjectmonitoring
dc.subjecttemperature
dc.subjecthumidity
dc.subjecthealth
dc.titleDesign and evaluation of a smart indoor air quality monitoring system
dc.typeArticle

Files

Original bundle

Now showing 1 - 2 of 2
Thumbnail Image
Name:
2023v84n3_Rudavskyi_I-Design_and_evaluation_of_23-30.pdf
Size:
347.4 KB
Format:
Adobe Portable Document Format
Thumbnail Image
Name:
2023v84n3_Rudavskyi_I-Design_and_evaluation_of_23-30__COVER.png
Size:
519.39 KB
Format:
Portable Network Graphics

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.77 KB
Format:
Plain Text
Description: