The present study proposes the implementation of an air quality measurement tool through the use of a swarm of wearable devices, named WeAIR, consisting of wearable sensors for measuring NOx, CO2, CO, temperature, humidity, and barometric pressure. Data will be stored and processed in a secure cloud environment. Artificial Intelligence algorithms will be used to visualize and make available real-time predictions of future states of air quality, by reconstructing spatio-temporal dynamical maps collected through the habitual movement of citizens in space and time. Then a pre-processing phase will allow us to appropriately homogenize the collected data, by means of the application of innovative artificial intelligence methods. All the data collected will be embedded into an integrated system with multiple functions. Among them, an important goal will also be to raise citizens' awareness of climate change.
WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens' Awareness of Climate Change
Pozzebon A.;
2023
Abstract
The present study proposes the implementation of an air quality measurement tool through the use of a swarm of wearable devices, named WeAIR, consisting of wearable sensors for measuring NOx, CO2, CO, temperature, humidity, and barometric pressure. Data will be stored and processed in a secure cloud environment. Artificial Intelligence algorithms will be used to visualize and make available real-time predictions of future states of air quality, by reconstructing spatio-temporal dynamical maps collected through the habitual movement of citizens in space and time. Then a pre-processing phase will allow us to appropriately homogenize the collected data, by means of the application of innovative artificial intelligence methods. All the data collected will be embedded into an integrated system with multiple functions. Among them, an important goal will also be to raise citizens' awareness of climate change.Pubblicazioni consigliate
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