DATIV—Remote Enhancement of Smart Aerosol Measurement System Using Raspberry Pi-Based Distributed Sensors-Reference-Cited by-同舟云学术

DATIV—Remote Enhancement of Smart Aerosol Measurement System Using Raspberry Pi-Based Distributed Sensors

Published:2024-07-02 Issue:13 Volume:24 Page:4314
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Hasanuzzaman Gazi¹^ORCID,Buchwald Tom²,Schunk Christoph³,Egbers Christoph¹,Schröder Andreas²⁴,Hampel Uwe³⁵^ORCID

Affiliation:

1. Department of Aerodynamics and Fluid Mechanics, Brandenburg University of Technology Cottbus-Senftenberg (BTU C-S), 03046 Cottbus, Germany

2. Chair of Image Based Measurement Techniques, Brandenburg University of Technology Cottbus-Senftenberg (BTU C-S), 03046 Cottbus, Germany

3. Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), 01328 Dresden, Germany

4. Department of Experimental Methods, Institute of Aerodynamics and Flow Technology, German Aerospace Center (DLR), 37073 Göttingen, Germany

5. Chair of Imaging Techniques in Energy and Process Engineering, Dresden University of Technology (TUD), 01069 Dresden, Germany

Abstract

Enclosed public spaces are hotspots for airborne disease transmission. To measure and maintain indoor air quality in terms of airborne transmission, an open source, low cost and distributed array of particulate matter sensors was developed and named Dynamic Aerosol Transport for Indoor Ventilation, or DATIV, system. This system can use multiple particulate matter sensors (PMSs) simultaneously and can be remotely controlled using a Raspberry Pi-based operating system. The data acquisition system can be easily operated using the GUI within any common browser installed on a remote device such as a PC or smartphone with a corresponding IP address. The software architecture and validation measurements are presented together with possible future developments.

Funder

German Research Foundation

Rectorate for Research and Transfer of the BTU Cottbus-Senftenberg

Initiative and Networking Fund of the Helmholtz Association of German Research Centres

Publisher

MDPI AG

Link

https://www.mdpi.com/1424-8220/24/13/4314/pdf

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