STM Journals Peer-reviewed research from Consortium e-Learning Network

International Journal of Electrical and Communication Engineering Technology Original Research

Smart Weather Monitoring System Using ESP32 and IoT

  1. Saurav Jagtap Rajgad Dnyanpeeth's Shree Chhatrapati Shivajiraje College of Engineering, Pune
  2. Shreyas Yadav Rajgad Dnyanpeeth's Shree Chhatrapati Shivajiraje College of Engineering, Pune
  3. Shivam Yewale Rajgad Dnyanpeeth's Shree Chhatrapati Shivajiraje College of Engineering, Pune
  4. Devang Dudhane Rajgad Dnyanpeeth's Shree Chhatrapati Shivajiraje College of Engineering, Pune
  5. Prakash Kumar Rajgad Dnyanpeeth's Shree Chhatrapati Shivajiraje College of Engineering, Pune

Abstract

The increasing unpredictability of climate conditions necessitates an efficient and real-time weather monitoring system. The following paper describes an IoT weather monitoring system using the ESP32 microcontroller, connected to various environmental sensors to gather and process atmospheric information. The system uses a DHT11 sensor to measure temperature and humidity, an MQ135 gas sensor for measuring air quality, and a PM2.5 sensor to measure the level of particulate matter. The ESP32 web server acts as the processor, forwarding accumulated information to a TFT display for real-time visualization and to the Blynk IoT platform for remote monitoring. The application of WiFi connectivity enables easy data transfer, and users can view weather data through a cloud-based app. The system aims to be low-cost, energy-effective, and scaleable to accommodate various environmental requirements, e.g., smart agriculture, air pollution control in cities, and disaster prediction. Incorporation of IoT enhances the usability and accessibility of the system via remote monitoring. Experiments results indicate that the system effectively acquires and presents live environmental parameters with the advantage of being a dependable method of weather monitoring. Future expansion can also entail the incorporation of AI algorithms for predictive analytics and anomaly detection to further improve the efficacy of the system. This research contributes to the development of smart environmental monitoring solutions that can support climate resilience and sustainability interventions.

Keywords

References (11)

  1. Wadne OK, Walke A, Bhandwalkar A, Pisal V. IoT-based weather monitoring system for smart agriculture. Int Res J Mod Eng Technol Sci. 2023;5(2):1393-6.
  2. TAIWO Abdulahi Akintayo, JOHN B Oladosu, SANUSI Hakeem, INAOLAJI Faruk Abolore, OLASUNKANMI Usman Gbolahan, AZEEZ Adeyinka Idowu, et al. Internet of things weather monitoring system. World Journal of Advanced Research and Reviews. 2024;22(2):2099-2110. doi:10.30574/wjarr.2024.22.2.1647
  3. Budijono S, Felita. Smart Temperature Monitoring System Using ESP32 and DS18B20. IOP Conference Series: Earth and Environmental Science. 2021;794(1):012125. doi:10.1088/1755-1315/794/1/012125
  4. Dilna U, Chandini NS, Bhoomika GS, Rao AA, Bhagyashree. IoT-based weather monitoring system for smart agriculture. Int J Eng Appl Sci Technol. 2022;7(1):298-301.
  5. Wanogho JO, Ogbeide KO, Agbontean FO. Development of ESP32-based weather monitoring system for photovoltaic yield characterization in Delta State, Nigeria. Int J Eng Sci Invention. 2022;11(4):12-8. doi:10.35629/6734-1104011218.
  6. Rahut Y, Afreen R, Kamini D. Smart weather monitoring and real-time alert system using IoT. Int Res J Eng Technol. 2018;5(10):848-54.
  7. 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. 2023;9(4):4085-4102. doi:10.1007/s40808-023-01701-w
  8. Murthy MS, Kumar RPR, Saikiran B, Nagaraj I, Annavarapu T. Real Time Weather Monitoring System using IoT. E3S Web of Conferences. 2023;391:01142. doi:10.1051/e3sconf/202339101142
  9. Divya M, Rakshitha P, Begum S, Rama Krishna D. IoT weather monitoring system using ESP32. Int J Eng Res Technol. 2022;6(11):14-8.
  10. Megantoro P, Aldhama SA, Prihandana GS, Vigneshwaran P. IoT-based weather station with air quality measurement using ESP32 for environmental aerial condition study. TELKOMNIKA (Telecommunication Computing Electronics and Control). 2021;19(4):1316. doi:10.12928/telkomnika.v19i4.18990
  11. Babalola TE, Babalola AD, Olokun MS. Development of an ESP-32 Microcontroller Based Weather Reporting Device. Journal of Engineering Research and Reports. 2022:27-38. doi:10.9734/jerr/2022/v22i1117577