: pp. 23-30
Lviv Polytechnic National University
Lviv Politechnic National University
University of Latvia, Riga

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.

[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

[2] C. De Capua, G. Fulco, M. Lugarà, F. Ruffa, An Improvement Strategy for Indoor Air Quality Monitoring Systems [J]. Sensors, 23(8), 3999 (2023) DOI:10.3390/s23083999

[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.

[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.

[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 32318301641

[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.

[7] M. Khatib, H. Haick, Sensors for volatile organic compounds [J]. ACS nano, 16(5), 7080-7115(2022). DOI: 10.1021/acsnano.1c10827

[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.

[9] F. Hung, K. Tsang, C. Wu, Y. Liu, H. Wang, H. Zhu, C. Koo, W. Wang, An Adaptive Indoor Air Quality Control Scheme for Minimizing Volatile Organic Compounds Density [J]. IEEE Access 8, 22357-22365 (2020) DOI: 10.1109/ACCESS.2020.2969212

[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

[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 21000366

[12] A. Chamseddine, I. Alameddine, M. Hatzopoulou, M. ElFadel, 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 32318307297