UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS

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2024-11-23 18:32
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Conference: Bucharest University Faculty of Physics 2023 Meeting


Section: Physics and Technology of Renewable and Alternative Energy Sources


Title:
Integrated weather monitoring and data collection system using Arduino and Raspberry Pi


Authors:
George IONESCU(1), Bogdan DOBRICĂ(2)


Affiliation:

1)University of Bucharest, Faculty of Physics, MG-38, 405 Atomistilor Street, 077125, Magurele, Romania

2)University of Bucharest, Faculty of Physics, CTT 3Nano-SAE Research Center, MG-38, 405 Atomistilor Street, 077125, Magurele, Romania


E-mail
george.ionescu@s.unibuc.ro


Keywords:
weather monitoring, Seeduino Uno, Python, Raspberry Pi, data collection


Abstract:
Integrated weather monitoring system is a project that aims to collect and analyze weather data using Seeduino Uno, a versatile Arduino board equipped with various sensors including temperature, humidity, altitude, light and pressure sensors. The system is further enhanced by integrating a Raspberry Pi and a code implementation written in the Python programming language, allowing advanced data processing and storage capabilities. The main objective of this project is to design and develop a reliable and cost-effective solution for weather data collection and analysis. Seeduino Uno serves as a central data acquisition unit, capturing real-time readings from multiple environmental sensors. The data collected includes temperature, humidity, altitude, light intensity and atmospheric pressure, providing an overview of weather conditions. To facilitate data processing and storage, a Raspberry Pi is integrated into the system. The Raspberry Pi acts as a hub, receiving sensor readings from the Seeduino Uno and running an implementation of Python code developed specifically for data analysis. The Python code performs data manipulation, statistical analysis and visualization, allowing users to gain valuable insights into weather patterns and trends. Combining the capabilities of Seeduino Uno, Raspberry Pi and Python, this project provides a comprehensive and easy-to-use weather monitoring solution. Researchers, meteorologists and weather enthusiasts can use the system to easily collect, analyze and visualize weather data. The project implementation provides a flexible platform for further expansion and customization, allowing for the integration of additional sensors or integration with external systems. Overall, the integrated weather monitoring system represents an innovative approach to weather data collection and analysis, providing an affordable and adaptable solution for understanding local weather conditions. The combination of the Arduino Seeduino Uno board implementation, Raspberry Pi and Python creates a reliable tool for weather enthusiasts and professionals alike, promoting a deeper understanding of our environment.