Design and evaluation of a smart indoor air quality monitoring system
dc.citation.epage | 30 | |
dc.citation.issue | 3 | |
dc.citation.journalTitle | Вимірювальна техніка та метрологія | |
dc.citation.spage | 23 | |
dc.contributor.affiliation | Lviv Polytechnic National University | |
dc.contributor.affiliation | University of Latvia | |
dc.contributor.author | Rudavskyi, Ivan | |
dc.contributor.author | Klym, Halyna | |
dc.contributor.author | Popov, Anatoliy | |
dc.coverage.placename | Львів | |
dc.coverage.placename | Lviv | |
dc.date.accessioned | 2024-03-11T09:15:13Z | |
dc.date.available | 2024-03-11T09:15:13Z | |
dc.date.created | 2023-02-28 | |
dc.date.issued | 2023-02-28 | |
dc.description.abstract | This 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.extent | 23-30 | |
dc.format.pages | 8 | |
dc.identifier.citation | Rudavskyi 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.citationen | Rudavskyi 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.doi | doi.org/10.23939/istcmtm2023.03.023 | |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/61440 | |
dc.language.iso | en | |
dc.publisher | Видавництво Львівської політехніки | |
dc.publisher | Lviv Politechnic Publishing House | |
dc.relation.ispartof | Вимірювальна техніка та метрологія, 3 (84), 2023 | |
dc.relation.ispartof | Measuring 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.uri | https://ieeexplore.ieee.org/document/9406012 | |
dc.relation.uri | https://www.mdpi.com/1424-8220/23/8/3999 | |
dc.relation.uri | https://www.sciencedirect.com/science/article/pii/S0160412023001800 | |
dc.relation.uri | https://ieeexplore | |
dc.relation.uri | https://www.sciencedirect.com/science/article/abs/pii/S0360132318301641 | |
dc.relation.uri | https://www.hindawi.com/journals/js/2020/8749764 | |
dc.relation.uri | https://pubs.acs.org/doi/abs/10.1021/acsnano.1c10827 | |
dc.relation.uri | https://www.sciencedirect.com/science/article/abs/pii/S0013935103000355 | |
dc.relation.uri | https://ieeexplore.ieee.org/document/8968426 | |
dc.relation.uri | https://ieeexplore.ieee.org/document/9197637 | |
dc.relation.uri | https://www.sciencedirect.com/science/article/pii/S2542660521000366 | |
dc.relation.uri | https://www.sciencedirect.com/science/article/abs/pii/S0360132318307297 | |
dc.rights.holder | © Національний університет “Львівська політехніка”, 2023 | |
dc.subject | analysis | |
dc.subject | air quality | |
dc.subject | monitoring | |
dc.subject | temperature | |
dc.subject | humidity | |
dc.subject | health | |
dc.title | Design and evaluation of a smart indoor air quality monitoring system | |
dc.type | Article |
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