Arduino Data Acquisition System for Monitoring Quality of Life Parameters in a Room
Matei Alexandru
Additional contact information
Matei Alexandru: Computer Science and Electrical and Electronics Engineering Department, Faculty of Engineering, “Lucian Blaga” University of Sibiu, Romania
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, 2024, vol. 14, issue 1, 91-100
Abstract:
Data acquisition is the process of collecting information from various sources through sensors or instruments. After obtaining the data, it is usually converted from the analogue format to a digital format. In this paper an application that gathers room-related information is presented. The purpose of such a system would be to be able to monitor certain parameters of interest in a living space. Afterwards this data can be used in various manners. One of the most important results of this data is being able to identify the habitability of a room. It can point out potential health hazards before they cause actual health problems. An additional objective is for the system to be on an accessible budget and to be easy to understand and implement. The hardware system using Arduino is presented in detail, as well as the graphical user interface created in Visual Studio. The system works as intended for the purposes stated above. It measures: temperature, humidity, light intensity, sound, and air quality. It works on its own if it is supplied with a 9-volt power source. The Graphical User Interface can be used to visualise and analyse the collected data. The system can still be improved by adding wireless communication such as Wi-Fi and allowing it to be integrated into Internet of Things systems. The power consumption could be improved if needed for higher sampling frequency demands.
Keywords: Arduino; data acquisition; quality of life; habitability (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2478/ijasitels-2024-0007 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:ijsiel:v:14:y:2024:i:1:p:91-100:n:1007
DOI: 10.2478/ijasitels-2024-0007
Access Statistics for this article
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences is currently edited by Daniel Volovici
More articles in International Journal of Advanced Statistics and IT&C for Economics and Life Sciences from Sciendo
Bibliographic data for series maintained by Peter Golla ().