DATIV-Remote Enhancement of Smart Aerosol Measurement System Using Raspberry Pi-Based Distributed Sensors.
Gazi HasanuzzamanTom BuchwaldChristoph SchunkChristoph EgbersAndreas SchröderUwe HampelPublished in: Sensors (Basel, Switzerland) (2024)
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.
Keyphrases
- particulate matter
- low cost
- air pollution
- healthcare
- water soluble
- mental health
- electronic health record
- high resolution
- high throughput
- data analysis
- neural network
- current status
- machine learning
- intensive care unit
- risk assessment
- high density
- drinking water
- artificial intelligence
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- health risk