Abstract
The objective of this work is to detail the development of an IoT system to monitor the indoor air quality index and record the entry and exit of occupants of the same space. Data is collected, processed, and sent to a data server through the MQTT communication protocol. This server is responsible for storing and displaying information on the ThingsBoard platform. To evaluate the solution, the air quality index and people count were monitored in some classrooms of Polytechnic Institute of Guarda. The results obtained show that the prototype meets all the requirements proposed for the system.
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References
Adochiei, F., et al.: Electronic system for real-time indoor air quality monitoring. In: IEEE International Conference on e-Health and Bioengineering (EHB), pp. 1–4, October 2020
Moharana, B., Anand, P., Kumar, S., Kodali, P.: Development of an IoT-based real-time air quality monitoring device. In: IEEE International Conference on Communication and Signal Processing (ICCSP), pp. 191–194, July 2020
Nigam, H., Saini, A., Banerjee, S., Kumar, A.: Indoor environment air quality monitoring and its notification to building occupants. In: IEEE Region 10 Conference (TENCON), pp. 2444–2448 (2019)
Jacobson, I., Ng, P.W., McMahon, P.E., Goedicke, M.: The Essentials of Modern Software Engineering: Free the Practices from the Method Prisons! Morgan & Claypool (2019)
Fernandes, S., Igrejas, G., Feliciano, M.: Monitorização e controlo de qualidade do ar interior em gabinetes de edifícios escolares. Revista de Ciências Agrárias 40, 274–281 (2017)
Bales, E., Nikzad, N., Quick, N., Ziftci, C., Patrick, K., Griswold, W.G.: Personal pollution monitoring: mobile real-time air quality in daily life. Pers. Ubiquit. Comput. 23(2), 309–328 (2019)
Chanthakit, S., Rattanapoka, C.: MQTT based air quality monitoring system using node MCU and node-red. In: IEEE Seventh ICT International Student Project Conference (ICT-ISPC), pp. 1–5 (2018)
Felix-Constantin, A.: Electronic system for real-time indoor air quality monitoring (2020)
Nasir, A., Gharib, N., Jaafar, H.: Automatic passenger counting system using image processing based on skin colour detection approach. In: IEEE International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA), pp. 1–8 (2018)
Li, T., Fong, S., Yang, L.: Counting passengers in public buses by sensing carbon dioxide concentration: data collection and machine learning. In: Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things, pp. 43–48 (2018)
Myrvoll, T., Hakegard, J., Matsui, T., Septier, F.: Counting public transport passenger using WiFi signatures of mobile devices. In: IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), pp. 1–6 (2017)
Kalikova, J., Krcal, J.: People counting in smart buildings. In: IEEE 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG), pp. 1–3 (2018)
Barbosa, M., Braga, P., Coelho, P.: Automatic system of monitoring the movement of passengers of collective transportation by bus. In: XX ANPET - Congress of Research and Education in Transportation, pp. 1–8 (2005)
ThingsBoard – Open-Source IoT Platform. https://thingsboard.io. Acedido em 10 05 2022
Hanninen, O.O.: WHO guidelines for indoor air quality: dampness and mold. In: Fundamentals of Mold Growth in Indoor Environments and Strategies for Healthy Living, pp. 277–302. Wageningen Academic Publishers, Wageningen (2011)
Satish, U., et al.: Is CO2 an indoor pollutant? Direct effects of low-to-moderate CO2 concentrations on human decision-making performance. Environ. Health Perspect. 120(12), 1671–1677 (2012)
Fisk, W.J.: Is CO2 an indoor pollutant? Higher levels of CO2 may diminish decision making performance (2013)
Mandayo, G., et al.: System to control indoor air quality in energy efficient buildings. Urban Clim. 14, 475–485 (2015)
Ahmed, K., Kurnitski, J., Sormunen, P.: Demand controlled ventilation indoor climate and energy performance in a high performance building with air flow rate controlled chilled beams. Energy Build. 109, 115–126 (2015)
Din, M.M., Nordin, N.N., Siraj, M.M., Kadir, R.: IOT real-time people counting using raspberry PI (IOT-RepCO). IOP Conf. Ser. Mater. Sci. Eng. 864(1), 012093 (2020)
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Ramos, A., Jesus, V.B., Gonçalves, C., Caetano, F., Silveira, C. (2024). AirVA - Indoor Air Quality Monitoring and Control with Occupants Alerting System. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-031-45648-0_8
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