Enabling Citizen Science with A Crowdfunded and Field Validated Smart Air Quality Monitor

Proceedings

Formisano, Fabrizio¹  Esposito, Elena²  Vito, Saverio De³  Massera, Ettore⁴ 

[1] Author to whom correspondence should be addressed.;ENEA—Department of Fusion and Technology for Nuclear Safety and Security, Via Anguillarese 301, 00123 Rome, Italy;ENEA—Energy Technology Dept., PV and Smart Networks Division, P. le E. Fermi, 1, 80055 Portici, Italy;Presented at the Eurosensors 2018 Conference, Graz, Austria, 9–12 September 2018

关键词: smart air quality monitors;    electrochemical sensors;    calibration;    air quality mapping;    sensor fusion;    machine learning;    exposome;   

DOI  :  10.3390/proceedings2130932

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

This work report the preliminary results of crowdfunding/crowdsensing campaign run in Italy aimed to functional test of a smart air quality monitoring infrastructure. Design and implementation of the cooperative monitoring infrastructure are described along with details of crowdfunding campaign. Participating users received, for a whole month, a field validated electrochemical sensors based air quality monitoring node and a companion APP capable of reporting sophisticated concentration estimations. Calibration functions are actually based on machine learning components correcting for environmental and non target gas interferences. Data gathered in the cloud allowed for evaluation of acceptability and reliability of the node as well as for mapping concentrations measurements inside city landscape through an ad-hoc GUI.

【 授权许可】

CC BY