Environmental Quality bOX (EQ-OX): A Portable Device Embedding Low-Cost Sensors Tailored for Comprehensive Indoor Environmental Quality Monitoring

Author:

Corona Jacopo1,Tondini Stefano23ORCID,Gallichi Nottiani Duccio45ORCID,Scilla Riccardo2ORCID,Gambaro Andrea4,Pasut Wilmer46,Babich Francesco1ORCID,Lollini Roberto1ORCID

Affiliation:

1. Institute for Renewable Energy, Eurac Research, 39100 Bolzano, Italy

2. Center for Sensing Solutions, Eurac Research, 39100 Bolzano, Italy

3. Photonics Integration, Electrical Engineering Department, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands

4. Environmental Sciences, Informatics and Statistics Department, University Ca’ Foscari, 30172 Venezia, Italy

5. Dipartimento di Ingegneria e Architettura, Università di Parma, 43124 Parma, Italy

6. College of Engineering, University of Korea, Seoul 06591, Republic of Korea

Abstract

The continuous monitoring of indoor environmental quality (IEQ) plays a crucial role in improving our understanding of the prominent parameters affecting building users’ health and perception of their environment. In field studies, indoor environment monitoring often does not go beyond the assessment of air temperature, relative humidity, and CO2 concentration, lacking consideration of other important parameters due to budget constraints and the complexity of multi-dimensional signal analyses. In this paper, we introduce the Environmental Quality bOX (EQ-OX) system, which was designed for the simultaneous monitoring of quantities of some of the main IEQs with a low level of uncertainty and an affordable cost. Up to 15 parameters can be acquired at a time. The system embeds only low-cost sensors (LCSs) within a compact case, enabling vast-scale monitoring campaigns in residential and office buildings. The results of our laboratory and field tests show that most of the selected LCSs can match the accuracy required for indoor campaigns. A lightweight data processing algorithm has been used for the benchmark. Our intent is to estimate the correlation achievable between the detected quantities and reference measurements when a linear correction is applied. Such an approach allows for a preliminary assessment of which LCSs are the most suitable for a cost-effective IEQ monitoring system.

Publisher

MDPI AG

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