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

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,...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 24; číslo 13; s. 4314
Hlavní autoři: Hasanuzzaman, Gazi, Buchwald, Tom, Schunk, Christoph, Egbers, Christoph, Schröder, Andreas, Hampel, Uwe
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 02.07.2024
Témata:
aerosol
Aerosols
Air pollution
Boundary conditions
COVID-19
Disease control
Disease prevention
Disease transmission
distributed sensors
Experiments
Humidity
Hypotheses
Indoor air quality
Infections
Outdoor air quality
particulate matter
Pathogens
Personal computers
Raspberry Pi
Sensors
WiFi
COVID-19
particulate matter
open source
Raspberry Pi
indoor ventilation
low-cost measurement system
distributed sensors
WiFi
aerosol
ISSN:1424-8220, 1424-8220
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Popis
Shrnutí: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.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s24134314