TY - CHAP A1 - Merbold, Sebastian A1 - Hasanuzzaman, Gazi A1 - Buchwald, Tom A1 - Schunk, Christoph A1 - Schmeling, Daniel A1 - Volkmann, André A1 - Brinkema, Robert A1 - Hampel, Uwe A1 - Schröder, Andreas A1 - Egbers, Christoph ED - Cierpka, Christian T1 - Reference experiment for aerosol particle transport for dynamic situations T2 - Experimentelle Strömungsmechanik : 29. Fachtagung, 6.-8. September 2022, Ilmenau T2 - Referenzexperiment zum Aerosolpartikel-Transport für dynamische Situationen Y1 - 2022 UR - https://www.gala-ev.org/images/Beitraege/Beitraege2022/pdf/09.pdf SN - 978-3-9816764-8-8 PB - Deutsche Gesellschaft für Laser-Anemometrie - German Association for Laser Anemometry GALA e.V. CY - Karlsruhe ER - TY - GEN A1 - Merbold, Sebastian A1 - Hasanuzzaman, Gazi A1 - Buchwald, Tom A1 - Schunk, Christoph A1 - Schmeling, Daniel A1 - Volkmann, André A1 - Brinkema, Robert A1 - Hampel, Uwe A1 - Schröder, Andreas A1 - Egbers, Christoph T1 - Reference experiment on aerosol particle transport for dynamic situations T2 - tm - Technisches Messen Y1 - 2023 U6 - https://doi.org/10.1515/teme-2022-0118 SN - 2196-7113 VL - 90 IS - 5 ER - TY - GEN A1 - Hasanuzzaman, Gazi A1 - Buchwald, Tom A1 - Schunk, Christoph A1 - Schröder, Andreas A1 - Egbers, Christoph A1 - Hampel, Uwe T1 - DATIV—remote enhancement of smart aerosol measurement system using raspberry Pi-based distributed sensors T2 - Sensors N2 - 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. KW - Aerosol transport, indoor ventilation, sensors, measurement, aerodynamics Y1 - 2024 UR - https://www.mdpi.com/1424-8220/24/13/4314 U6 - https://doi.org/10.3390/s24134314 VL - 24 SP - 1 EP - 12 ER -