In this paper, the preliminary results of the research project 'Monitoraggio continuo per le Acque refiue Urbane ed Industriali per l'ecoindustria' (MAUI) are depicted. Specifically, innovative methods for real-Time monitoring of urban and industrial wastewater, along with new data management techniques, have been employed to manage the data acquired by a vapor phase e-nose, namely VPeN, based on a semiconductor sensor array, which was used to get real-Time monitoring data.
Innovative Methodology for Detecting of Possible Harmful Compounds for Wastewater Treatment the MAUI Project / Blonda, Massimo; Calabrese, Angelantonio; Cardellicchio, Angelo; Casale, Barbara; Dentamaro, Giuseppe; Di Lecce, Vincenzo; Dimucci, Antonietta; Guaragnella, Cataldo; Matrino, Diego; Palagachev, Dian; Petruzzelli, Domenico; Politi, Tiziano; Rizzi, Maria; Sarcina, Vincenzo; Uricchio, Vito Felice. - ELETTRONICO. - (2018), pp. 8428315.140-8428315.145. (Intervento presentato al convegno 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 tenutosi a Brescia; Italy nel April 16-18, 2018) [10.1109/METROI4.2018.8428315].
Innovative Methodology for Detecting of Possible Harmful Compounds for Wastewater Treatment the MAUI Project
Cardellicchio, Angelo;Dentamaro, Giuseppe;Di Lecce, Vincenzo;Dimucci, Antonietta;Guaragnella, Cataldo;Palagachev, Dian;Politi, Tiziano;Rizzi, Maria;
2018-01-01
Abstract
In this paper, the preliminary results of the research project 'Monitoraggio continuo per le Acque refiue Urbane ed Industriali per l'ecoindustria' (MAUI) are depicted. Specifically, innovative methods for real-Time monitoring of urban and industrial wastewater, along with new data management techniques, have been employed to manage the data acquired by a vapor phase e-nose, namely VPeN, based on a semiconductor sensor array, which was used to get real-Time monitoring data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
