| Issue |
EPJ Web Conf.
Volume 379, 2026
2nd International Conference on Sustainable Materials, Methodologies, Technologies & Applications in Engineering (ICS2MT-2026)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 10 | |
| Section | Energy, Environment, Artificial Intelligence and Sustainable Development | |
| DOI | https://doi.org/10.1051/epjconf/202637905003 | |
| Published online | 03 August 2026 | |
https://doi.org/10.1051/epjconf/202637905003
Mobile Integrated Automatic Weather Station for Real-Time Data Acquisition and Analysis
1 Department of Civil Engineering, Institute of Aeronautical Engineering, Hyderabad, 500043
2 Department of Civil Engineering, Pallavi Engineering College, Hyderabad, 501505
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 3 August 2026
Abstract
A mobile-integrated Automatic Weather Station (MI-AWS) enables the acquisition of real-time weather data and analyzes the measured meteorological parameters such as rainfall, atmospheric pressure, relative humidity, temperature, and wind speed and direction. Utilizing cost-effective sensors connected to the microcontroller facilitates the collection of continuous data, which is then transmitted to the mobile application. The collected data can be used for remote monitoring, visualization, and cloud-based storage. This MI-AWS system overcomes the limitations of traditional weather stations. It provides an easy-to-use and scalable way to forecast weather, monitor the environment, and tackle disasters. The present study aims to monitor the weather at different locations in the Dundigal region and give early warning signs or precautions to the locality if needed. This study helps to moderate the impact of intense weather conditions, viz., storms, floods, high temperatures, humidity, and wind speed, supporting the decision-making in sectors such as transportation, aviation, agriculture, and public safety. The mobile-integrated, low-cost design enhances access to exact weather monitoring, fostering environmental resilience and ensuring improved public safety through timely and reliable data.
Key words: MI-AWS / Mobile applications / Real-time / data monitoring / Weather forecasting
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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