Have a personal or library account? Click to login
Arduino Data Acquisition System for Monitoring Quality of Life Parameters in a Room Cover

Arduino Data Acquisition System for Monitoring Quality of Life Parameters in a Room

Open Access
|Dec 2024

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.

DOI: https://doi.org/10.2478/ijasitels-2024-0007 | Journal eISSN: 2559-365X | Journal ISSN: 2067-354X
Language: English
Page range: 91 - 100
Published on: Dec 18, 2024
Published by: Lucian Blaga University of Sibiu
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year

© 2024 Alexandru Matei, published by Lucian Blaga University of Sibiu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.