Hasanuzzaman, Gazi und Buchwald, Tom und Schröder, Andreas und Egebers, Christoph und Schunk, Christoph und Hampel, Uwe (2024) DATIV - Remote enhancement of smart aerosol measurement system using Raspberry Pi based distributed sensors. Sensors, 24 (13), Seiten 1-12. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/s24134314. ISSN 1424-8220.
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Offizielle URL: https://www.mdpi.com/1424-8220/24/13/4314
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/206321/ | ||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||
Zusätzliche Informationen: | Article: 4314 | ||||||||||||||||||||||||||||
Titel: | DATIV - Remote enhancement of smart aerosol measurement system using Raspberry Pi based distributed sensors | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 2 Juli 2024 | ||||||||||||||||||||||||||||
Erschienen in: | Sensors | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||
Band: | 24 | ||||||||||||||||||||||||||||
DOI: | 10.3390/s24134314 | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 1-12 | ||||||||||||||||||||||||||||
Herausgeber: |
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Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||||||||||
ISSN: | 1424-8220 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | Data Assimilation, Lagrangian particle tracking, turbulence, VIC+, VIC#, FlowFit | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||||||||||
HGF - Programmthema: | Effizientes Luftfahrzeug | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | L EV - Effizientes Luftfahrzeug | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Virtuelles Flugzeug und Validierung | ||||||||||||||||||||||||||||
Standort: | Göttingen | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Aerodynamik und Strömungstechnik > Experimentelle Verfahren, GO | ||||||||||||||||||||||||||||
Hinterlegt von: | Micknaus, Ilka | ||||||||||||||||||||||||||||
Hinterlegt am: | 20 Nov 2024 11:19 | ||||||||||||||||||||||||||||
Letzte Änderung: | 20 Nov 2024 11:28 |
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