AUTONOMOUS AIR PURIFIER USING IOT WITH CLOUD-BASED MONITORING
DOI:
https://doi.org/10.5281/zenodo.21372660Keywords:
IoT, Air Quality Monitoring, NodeMCU, Autonomous System, Cloud Computing, Air PurifierAbstract
Air pollution has emerged as a major environmental and health concern due to rapid industrialization and urban expansion. Indoor air contamination, in particular, can lead to respiratory disorders, allergies, and reduced quality of life. This paper presents the design and implementation of an autonomous air purification system integrated with Internet of Things (IoT) technology and cloud-based monitoring. The system employs gas sensors to continuously detect pollutants such as carbon dioxide, smoke, and harmful gases. A NodeMCU microcontroller processes the sensor data and automatically regulates the purification mechanism without human intervention. Real-time monitoring is achieved using a cloud platform, enabling users to visualize air quality data and receive alerts through a mobile application. The proposed system offers a cost-effective, energy-efficient, and intelligent solution for maintaining healthy indoor environments.
References
I. A. Mora Simamora, A. Denih, and M. I. Suriansyah, “Indoor air quality detection robot model based on the Internet of Things (IoT),” arXiv preprint, 2025.
II. A. A. Hapsari, A. I. Hajamydeen, D. J. Vresdian, M. Manfaluthy, and L. Prameswono, “Implementation of an Internet of Things architecture to monitor indoor air quality during sleep periods,” Sensors, vol. 25, no. 3, pp. 1–15, 2025.
III. G. Atchuth, T. Prudhvi Gupta, G. Anil Kumar, V. Mani Vara Prasad, and P. N. E. Naveen, “IoT-based air purifier with quality monitoring,” International Journal of Scientific Research in Engineering and Management (IJSREM), vol. 8, no. 4, pp. 1–6, 2024.
IV. K. Goel, K. S. Naruka, G. Garg, and A. Singh, “Automated air purifier robot,” International Journal for Research in Applied Science and Engineering Technology (IJRASET), vol. 12, no. 2, pp. 120–125, 2024.
V. A. A. Amin, H. S. M. Al-Rizzo, and J. A. Ali, “Applications of machine learning and IoT for outdoor air pollution monitoring and prediction,” IEEE Access, vol. 11, pp. 45678–45692, 2023.
VI. A. A. Deshmukh, S. P. Jadhav, S. S. Kale, S. S. Nair, and V. S. Kadam, “IoT-based air pollution monitoring system using Blynk application,” International Research Journal of Engineering and Technology (IRJET), vol. 10, no. 6, pp. 234–239, 2023.
VII. P. K. Reddy, M. V. Reddy, and R. K. Sharma, “IoT-based air quality monitoring system for smart cities,” International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), vol. 11, no. 5, pp. 89–95, 2023.
VIII. S. S. Patil, R. R. Deshmukh, M. R. Shelke, P. R. Bhosale, and A. V. Pawar, “IoT-based smart air pollution monitoring system using Arduino,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE), vol. 12, no. 3, pp. 102–108, 2023.
IX. N. Singh, R. S. Mehra, P. Kaur, and A. Gupta, “Smart air quality monitoring system using IoT,” International Journal of Engineering Research & Technology (IJERT), vol. 11, no. 7, pp. 55–60, 2022.
X. R. Sharma, V. K. Tiwari, S. Kumar, and M. Gupta, “Design of IoT-based indoor air purifier,” International Journal of Science and Research (IJSR), vol. 11, no. 2, pp. 78–83, 2022.
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 International Educational Journal of Science and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.
