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
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.
