Abstract
The degree of pollutants is growing rapidly because of elements like industries, urbanization, growing in population, this often leads to adverse effects on human health. The Air Quality is shown on a database via the internet using an IoT-guided Indoor Air Pollution Monitoring System. The suggested system will also sound a warning via a buzzer if dangerous chemicals in the air increase significantly, as determined by a threshold value, likewise CO2, benzene, alcohol, NH3, NOx and smoke as well. It will display the overall air quality in PPM units and the air quality on the LCD display, as well as save this data in a database to calculate overall pollution in the meantime, allowing for easy monitoring of air pollution. The proposed system makes collaborative use of multiple sensors to identify amount of harmful gases like CO2, smoke, alcohol, benzene, NH3 and NOx and monitor air quality more precisely.
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References
Jayakumar, A.A., Praviss, Y., Venkstesh, P.: IoT based air pollution monitoring system (2021)
Singh, M., Kumari, M., Chauhan, P.K.: IoT based air pollution monitoring system using Arduino. Int. Res. J. Eng. Technol. IRJET (2019)
Yamunathangam, D., Pritheka, K., Varuna, P.: IOT enabled air pollution monitoring and awareness creation system. Int. J. Recent Technol. Eng. IRJET (2018)
Shah, H.N., Khan, Z., Merchant, A.A., Moghal, M., Shaikh, A., Rane, P.: IOT based air pollution monitoring system. Int. J. Sci. Eng. Res. IJSER (2018)
Okokpujie, K., Noma-Osaghae, E., Modupe, O., John, S., Oluwatosin, O.: A smart air pollution monitoring system. Int. J. Civ. Eng. Technol. 9, 799–809 (2018)
Sankhe, R., Shirodkar, P., Nangare, A., Yadav, A., Gauri Salunkhe, P.: IOT based air and sound pollution monitoring system. Int. J. Eng. Res. Technol. (IJERT) ICIATE 5(01) (2017)
Abbas, F.N., Saadoon, M.I.M., Abdalrdha, Z.K., Abud, E.N.: Capable of gas sensor MQ-135 to monitor the air quality with Arduino uno. Int. J. Eng. Res. Technol. 13, 2955–2959 (2020). https://doi.org/10.37624/IJERT/13.10.2020.2955-2959
ICIST 2020: Proceedings of the 10th International Conference on Information Systems and Technologies, ISBN: 9781450376556, Lecce, Italy. ACM (2020)
Laouar, M.R.: Preface Conference Proceedings: 2021 International Conference on Information Systems and Advanced Technologies (ICISAT). IEEE (2021)
Laouar, M.R., Eom, S.B.: Effects of interaction on e-learning satisfaction and outcome: a review of empirical research and future research direction. Int. J. Inf. Syst. Soc. Change (2017)
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Lambor, S. et al. (2023). Indoor Air Pollution Monitoring. In: Laouar, M.R., Balas, V.E., Lejdel, B., Eom, S., Boudia, M.A. (eds) 12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”. ICISAT 2022. Lecture Notes in Networks and Systems, vol 624. Springer, Cham. https://doi.org/10.1007/978-3-031-25344-7_40
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DOI: https://doi.org/10.1007/978-3-031-25344-7_40
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