Cooperative Air Quality Sensing with Crowdfunded Mobile Chemical Multisensor Devices

Abstract

In this work, we describe a cooperative air quality sensor architecture based on crowdfunded, mobile, electrochemical sensor based, monitoring systems. The platform aims to produce enhanced information on personal pollutant exposure and enable cooperative reconstruction of high resolution pictures of air pollution in the urban landscape. The calibrated devices are connected to smartphones that provide georeferenced visualization of personal exposure and session based log capabilities. A cloud based interface provides a sensor fusion based mapping capability exploiting google maps APIs. An in-lab calibration by linear regression with temperature correction has been computed and preliminary results have been reported. A small set of calibrated devices will be shipped to crowdfunders for extended field tests in different italian cities.

Keywords

• chemical multisensory devices
• distributed chemical sensing
• IoT
• air quality
• crowdsensing
• crowdfunding
• air quality sensor networks
• machine learning
• personal air quality monitor