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IoT Based Air Pollution Monitoring System

© 2024 by IJCEET

Volume 2 Issue 4

Year of Publication : 2024

Author :Gomathi A

:10.56472/25839217/IJCEET-V2I4P101

Citation :

Gomathi A, 2024. "IoT Based Air Pollution Monitoring System" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 4: 1-8.

Abstract :

Internet of Things (IoT) is a worldwide system of “smart devices” that can sense and connect with their surroundings and interact with users and other systems. Global air pollution is one of the major concerns of our era. Existing monitoring systems have inferior precision, low sensitivity, and require laboratory analysis. Therefore, improved monitoring systems are needed. To overcome the problems of existing systems, we propose an air pollution monitoring system. An IoT kit was prepared using gas sensors, Arduino IDE (Integrated Development Environment), and a Wi-Fi module. This kit can be physically placed in various cities to monitoring air pollution. The gas sensors gather data from air and forward the data to the Arduino IDE. The Arduino IDE transmits the data to the cloud via the Wi-Fi module. We also developed an Android application so that users can access relevant air quality data from the cloud. If a user is traveling to a destination, the pollution level of the entire route is predicted, and a warning is displayed if the pollution level is too high.

References :

[1] Savla, D. V., Parab, A. N., Kekre, K. Y., Gala, J. P., & Narvekar, M. (2020, August). IoT and ML based Smart System for Efficient Garbage Monitoring: Real Time AQI monitoring and Fire Detection for dump yards and Garbage Management System. In 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 315-321). IEEE.

[2] Kumar, Ajitesh, MonaaKumaari, and HarshaGuptaa. "Development & review of the environmental quality control system based on IoT." In 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), pp. 242-245. IEEE, 2020.

[3] Bazurto, Jose, Willian Zamora, Johnny Larrea, Dolores Muñoaz, &DahianaAlviaa. "Framework for controlling air quality in urban areas with close to zero solutions." In 2020 15th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1-6. IEEE, 2020.

[4] Esfahani, Siavash, PiaersRolins, Jaan Peter Specht, MarinaaColae, and Jullian W. Gardener. "Smart Urban Power IoT-based indoor air quality control system." In 2020 IEEE Sensors, pp. 1-4. IEEE, 2020.

[5] Bhattachariya, S., Sridaevi, S. and Pitchaiah, R., 2012, December. Monitoring of indoor environmental quality using a WSN. In 2012 Sixth International Conference on Sensing Technology (ICST) (pp. 422-427). IEEE.

[6] Phaala, K.S.E., Kumaar, A. and Haancke, G.P., 2016. Air quality management systembased on ISO/IEC/IEEE 21451 standards. IEEE Sensors Journal, 16(12), pp.5037-5045.

[7] Kwaon, J., Aahn, G., Kimm, G., Kimm, J.C. and Kimm, H., 2009, August. A research on the NDIR-based CO2 sensor for local air pollution monitoring. In 2009 Iccas-Sice (pp. 1683-1687). IEEE.

[8] Kumaar, S. and Jasujaa, A., 2017, May. IoT based air quality control system utilizing Raspberry Pi. In 2017 International Conference on Computing, Communication and Automation (ICCCA) (pp. 1341-1346). IEEE.

[9] Liuu, J.H., Chaen, Y.F., Liin, T.S., Chaen, C.P., Chaen, P.T., Waen, T.H., Sunn, C.H., Juaang, J.Y. and Jiaang, J.A., 2012. “air quality management system for urban centers on the application of wireless sensor networks”. International Journal on Smart Sensing & Intelligent Systems, 5(1).

[10] Faroq, M.U., Wasim, M., Mazhaar, S., Khaiiri, A. and Kamaal, T., 2015. Analysis of stuff on the Internet (IoT). International Conference for Computer Applications,113(1), pp.1-7.

[11] Nasution, TigorHamonangan, AinulHizriadi, KasmirTanjung, and FitraNurmayadi. "Design of Indoor Air Quality Monitoring Systems." In 2020 4rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM), pp. 238-241. IEEE, 202

Keywords :

IoT (Internet of Things), Air Pollution Monitoring, Smart Sensors, Environmental Monitoring, Air Quality Index (AQI), Real-Time Data, Sensor Networks, Wireless Communication, Air Pollution Sensors, Data Analytics, Environmental Sensors, Wireless Sensor Networks (WSN), Data Logging, Particulate Matter (PM), Air Quality Management.