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DATIV - Remote enhancement of smart aerosol measurement system using Raspberry Pi based distributed sensors

Hasanuzzaman, Gazi and Buchwald, Tom and Schröder, Andreas and Egebers, Christoph and Schunk, Christoph and Hampel, Uwe (2024) DATIV - Remote enhancement of smart aerosol measurement system using Raspberry Pi based distributed sensors. Sensors, 24 (13), pp. 1-12. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/s24134314. ISSN 1424-8220.

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

Abstract

Enclosed public spaces are the 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 has been developed and named as Dynamic Aerosol Transport for Indoor Ventilation or DATIV system. This system can use multiple Particulate Matter Sensors (PMS) simultaneously and can be remotely controlled using a Raspberry Pie 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 corresponding IP address. The software architecture and validation measurements are presented together with possible future developments.

Item URL in elib:https://elib.dlr.de/206321/
Document Type:Article
Additional Information:Article: 4314
Title:DATIV - Remote enhancement of smart aerosol measurement system using Raspberry Pi based distributed sensors
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hasanuzzaman, GaziUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Buchwald, TomUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schröder, AndreasUNSPECIFIEDhttps://orcid.org/0000-0002-6971-9262172115054
Egebers, ChristophUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schunk, ChristophUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hampel, UweUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2 July 2024
Journal or Publication Title:Sensors
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:24
DOI:10.3390/s24134314
Page Range:pp. 1-12
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Dr. Suriano, DomenicoMDPIUNSPECIFIEDUNSPECIFIED
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:1424-8220
Status:Published
Keywords:Data Assimilation, Lagrangian particle tracking, turbulence, VIC+, VIC#, FlowFit
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Virtual Aircraft and  Validation
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Experimental Methods, GO
Deposited By: Micknaus, Ilka
Deposited On:20 Nov 2024 11:19
Last Modified:20 Nov 2024 11:28

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