AN IOT-BASED HYBRID MODEL FOR WEATHER STATION AND AIR QUALITY MONITORING
DOI:
https://doi.org/10.34218/IJCET_16_02_017Keywords:
IoT, Microcontroller, MicroPython, Environmental Monitoring, Air Quality, Weather Station, Sensors, Telegram Alerts, Solar Power, Smart AgricultureAbstract
Climate change, rising pollution levels, and unpredictable weather patterns have made environmental monitoring a critical global concern. Traditional weather stations often require manual data collection and are not suitable for deployment in remote or rural areas. This paper presents the design and implementation of an IoT-based weather station and air quality monitoring system that autonomously collects, processes, and displays real-time environmental data. The system is built around the ESP32 WROOM microcontroller, which enables wireless communication and efficient data processing through MicroPython. It integrates multiple sensors including DHT11 for temperature and humidity, BMP280 for pressure and altitude, MQ-135 for air quality, an LDR for light intensity, and a rain sensor module. A 16x2 I2C LCD is used for local display, while a solar panel ensures off-grid power supply. The system is capable of sending alerts and updates via Telegram, making it ideal for real-time environmental monitoring in smart cities, agricultural fields, or remote locations. This solution showcases the potential of low-cost, scalable IoT technologies in supporting environmental awareness and sustainable development goals.
References
Fahim, M., El Mhouti, A., Boudaa, T., & Jakimi, A. “Modeling and Implementation of a Low-Cost IoT-Smart Weather Monitoring Station and Air Quality Assessment Based on Fuzzy Inference Model and MQTT Protocol”. Modeling Earth Systems and Environment, 9, 4085–4102. (2023).
Hermawan, A., Hidayatulloh, A. N., Rachman, A., Purnomo, M. H., & Prasetyo, D. D. “Smart Air Quality Monitoring IoT-Based Infrastructure for Industrial and Urban Areas”. Sensors, 22(23), Article ID 9221. (2022).
Karar, M. E., Al-Masaad, A. M., & Reyad, O. “GASDUINO-Wireless Air Quality Monitoring System Using Internet of Things”. Information Sciences Letters, 9(2). (2020).
Singh, A., Pal, M., & Yadav, P. “Development of a Low-Cost Weather Monitoring System Using Arduino and IoT”. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 4(2), 231–236. (2018).
Varkey, V. P., & John, A. “IoT-Based Real-Time Weather Monitoring System Using Arduino and ESP8266”. International Journal of Engineering Research & Technology (IJERT), 9(6), 450–453. (2020).
Verma, P., & Kumari, S. “Air Quality Monitoring Using IoT and Cloud Computing for Smart City”. International Journal of Innovative Research in Science, Engineering and Technology, 6(3), 555–560. (2017).
Patil, R. R., & Dixit, V. V. “Design of IoT Based Weather Monitoring and Forecasting System”. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 7(2), 567–573. (2018).
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Copyright (c) 2025 Dr. B. Suresh, Dr. K. Vasudevan, K. Lokesh, U. Anandhakrishnan, U. Nikhil, M. Vignesh, C S. Muhammed Saheer (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
