Abstract
Currently, a number of studies have found that high levels of carbon dioxide in an enclosed space increase the probability of COVID-19 infection and can have adverse health effects. The control of the levels of certain gases, such as carbon dioxide, has become significantly relevant during the period of the COVID-19 pandemic. Therefore, this study presents a system for indoor air quality monitoring and counting in an enclosed space. Furthermore, the system has been evaluated in a case study with different scenarios and it is analysed how the ventilation affects the air quality levels in the enclosed space. For example, the raw carbon dioxide value obtained from the MQ135 sensor is 63 without any person in the room compared to the raw value of 148 when there are 4 people. All this is done using the Internet of Things paradigm and the implementation of intelligent ambients.
Grant PID2021-127275OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”.
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Lendínez, A.M., Ruiz, J.L.L., Rodríguez, M.P.B., Jiménez, D.D., Nugent, C., Estévez, M.E. (2023). Monitoring Environments with New Generation Devices. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-031-48306-6_3
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