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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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 24; no. 13; p. 4314
Main Authors: Hasanuzzaman, Gazi, Buchwald, Tom, Schunk, Christoph, Egbers, Christoph, Schröder, Andreas, Hampel, Uwe
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 02.07.2024
Subjects:
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
Online Access:Get full text
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Summary: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