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.
|
PDF
- Published version
10MB |
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: |
| ||||||||||||||||||||||||||||
| 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: |
| ||||||||||||||||||||||||||||
| 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 |
Repository Staff Only: item control page