Cross-Platform Weather Data Acquisition and Visualization

Bogdan-Adrian Enache, Cosmin Karl Banica, Geroge Bogdan Ana

Abstract


This paper presents the development of a weather monitoring system based on an Arduino Board and integrated sensors. This system collects real-time data, particularly temperature and humidity, and sends it to a computer running LabView for visualisation and processing. This novel approach combines the benefits of both worlds, adding the flexibility of an embedded system with the LabView capabilities of data processing and visualisation. By exploring a unique combination of accessible technologies, this paper contributes to a growing body of literature emphasising the democratisation of scientific tools, empowering communities, educators, and researchers to engage in cutting-edge climate analysis and environmental stewardship.

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References


H. Thieblemont, F. Haghighat, R. Ooka, and A. Moreau, “Predictive control strategies based on weather forecast in buildings with energy storage system: A review of the state-of-the art,” Energy Build., vol. 153, pp. 485–500, Oct. 2017, doi: 10.1016/j.enbuild.2017.08.010.

M. Mancasi, R. Vatu, O. Ceaki, R. Porumb, and G. Seritan, “Evolution of smart buildings. A Romanian case,” in 2015 50th International Universities Power Engineering Conference (UPEC), IEEE, 2015, pp. 1–4.

M. Kusriyanto and A. A. Putra, “Weather Station Design Using IoT Platform Based On Arduino Mega,” in 2018 International Symposium on Electronics and Smart Devices (ISESD), Bandung: IEEE, Oct. 2018, pp. 1–4. doi: 10.1109/ISESD.2018.8605456.

O. C. Novac, I.-I. Mure?an, M. C. Novac, M. Oproescu, C. Gordan, and G. Bujdosó, “Development of a weather application in android and IOS operating systems,” in 2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), IEEE, 2019, pp. 1–5.

“Droughts & Floods Assessment and Monitoring using Remote sensing and GIS.” http://www.wamis.org/agm/pubs/agm8/Paper-14.pdf

“EnviroDIY.” https://github.com/EnviroDIY

“ThingsBoard Open-Source IoT Platform.” https://thingsboard.io

W. Woo, W. Richards, J. Selker, and C. Udell, “WeatherChimes:

An Open IoT Weather Station and Data Sonification System,” HardwareX, vol. 13, p. e00402, Mar. 2023, doi: 10.1016/j.ohx.2023.e00402.

S. T. Nicolescu et al., “The Optimization of a Real-Time Indoor Air Quality Monitoring System,” in 2022 E-Health and Bioengineering Conference (EHB), IEEE, 2022, pp. 1–4.

H. Ucgun and Z. K. Kaplan, “Arduino based weather forecasting station,” in 2017 International Conference on Computer Science and Engineering (UBMK), Antalya, Turkey: IEEE, Oct. 2017, pp. 972–977. doi: 10.1109/UBMK.2017.8093397.

H. K. Kondaveeti, N. K. Kumaravelu, S. D. Vanambathina, S. E. Mathe, and S. Vappangi, “A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations,” Comput. Sci. Rev., vol. 40, p. 100364, May 2021, doi: 10.1016/j.cosrev.2021.100364.

G.-C. SERI?AN, B.-A. Enache, I. Vilciu, S.-D. Grigorescu, and V. Mladenov, “COMPARISON STUDY OF TOP DEVELOPMENT BOARDS IN THE CONTEXT OF IOT,” Rev. Roum. Sci. Tech. ÉLECTROTECHNIQUE ÉNERGÉTIQUE, vol. 67, no. 4, pp. 483–486, 2022.

L. S. Csokmai, C. M. Novac, O. C. Novac, G. Bujdosó, M. Oproescu, and M. Codrean, “Comparative study about data speed acquisition and recording in a MySQL database of LabVIEW, MATLAB and Python programming languages,” in 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), IEEE, 2021, pp. 1–4.

“LINX”, https://www.labviewmakerhub.com/doku.php?id =libraries:linx:start


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