IOT-Based Real-Time Air Quality Monitoring System Using ESP8266

Abstract: In today’s world, one of the growing concerns is Air Pollution, due to its adverse impact on human health and environmental quality. This research paper presents the design and implementation of a Real-Time Air Quality Monitoring System measuring the Air Quality Index (AQI) using sensors such as MQ135, PM2.5, and DHT11. The ESP8266 microcontroller is used to collect and analyze data. The system is built to provide local display via LCD and remote display through a web dashboard interface. The system has buzzer alerts for local alert generation when AQI thresholds are crossed, and alert messages are generated simultaneously in the web interface. The system uses the HTTP protocol for communication and let the users download CSV files to access the previous air quality data history. The proposed model aims to develop a low-cost, real-time sensing Air Quality Monitor using widely available microcontrollers and sensors to bring awareness to every individual about the harmful living environment.

Air Pollution, Air Quality Index (AQI), Sensors, Microcontroller, HTTP, CSV, ESP32

1. M. A. Hossain, M. S. Islam, and M. S. Hossain, ”Development of a Low-Cost IoT Device Using ESP8266 and Atmega328 for Real-Time Monitoring of Outdoor Air Quality with Alert,” 2022 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), pp. 1-6, 2022. [Google Scholar] [Crossref]

2. S. K. Sahoo, S. K. Mohapatra, and S. K. Dash, ”IoT-Based Industrial Air Quality Monitoring System,” 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC), pp. 234-239, 2022. [Google Scholar] [Crossref]

3. A. S. M. Kayes, M. R. Islam, and A. M. Al Islam, ”An IoT-Based Air Quality Monitoring Platform,” 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-7, 2020. [Google Scholar] [Crossref]

4. S. S. Sonavane and S. S. Shinde, ”IoT-Based Smart Air Pollution Monitoring System,” 2022 International Conference on Electronics and Sustainable Communication Systems (ICESC), pp. 456-461, 2022. [Google Scholar] [Crossref]

5. Y. Yigit, K. Huseynov, H. Ahmadi, and B. Canberk, ”YA-DA: YAng- Based DAta Model for Fine-Grained IIoT Air Quality Monitoring,” *arXiv preprint arXiv:2211.15287*, 2022. [Google Scholar] [Crossref]

6. A. Haq, S. S. Hasan, S. Sayed, and A. Ullah, ”IoT Based Air Quality and Weather Monitoring System with Android Application,” in *Proceedings of the 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)*, pp. 1-5, 2022. [Google Scholar] [Crossref]

7. N. Kularatna and B. Sudantha, “An environmental air pollution monitor- ing system based on the IEEE 1451 standard for low-cost requirements,” *IEEE Sensors Journal*, vol. 8, no. 4, pp. 415–422, 2008. [Google Scholar] [Crossref]

8. A. Al-Ali, I. Zualkernan, and F. Aloul, “A mobile GPRS-sensors array for air pollution monitoring,” *IEEE Sensors Journal*, vol. 10, no. 10, pp. 1666–1671, 2010. [Google Scholar] [Crossref]

9. S. Raipure and D. Mehetre, “Wireless sensor network-based pollu- tion monitoring system in metropolitan cities,” in *2015 International Conference on Communications and Signal Processing (ICCSP)*, pp. 1835–1838, 2015. [Google Scholar] [Crossref]

10. H. Aamer, R. Mumtaz, H. Anwar, and S. Poslad, “A very low cost, open, wireless, Internet of Things (IoT) air quality monitoring platform,” in *2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT and IoT (HONET-ICT)*, pp. 102–106, 2018. [Google Scholar] [Crossref]

11. H.-P. Halvorsen, O. A. Grytten, M. V. Svendsen, and S. Mylvaganam, “Environmental monitoring with focus on emissions using IoT plat- form for mobile alert,” in *2018 28th EAEEIE Annual Conference (EAEEIE)*, pp. 1–7, 2018. [Google Scholar] [Crossref]

12. J.-W. Kwon, Y.-M. Park, S.-J. Koo, and H. Kim, “Design of air pollution monitoring system using Zigbee networks for ubiquitous- city,” in *2007 International Conference on Convergence Information Technology (ICCIT 2007)*, pp. 1024–1031, 2007. [Google Scholar] [Crossref]

13. V. Rao and K. Prema, “Internet-of-things based smart temperature mon- itoring system,” in *2018 3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT)*, pp. 72–77, 2018. [Google Scholar] [Crossref]

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