Citazione: Massimo Blonda, Angelantonio Calabrese, Angelo Cardellicchio, Antonio Casale, Barbara Casale, Giuseppe Dentamaro, Vincenzo Di Lecce, Antonietta Dimucci, Cataldo Guaragnella, Diego Matrino, Dian Palagachev, Domenico Petruzzelli, Tiziano Politi, Maria Rizzi, Vincenzo Sarcina, Vito Felice Uricchio, Innovative methodology for detecting of possible harmful compounds for wastewater treatment. The MAUI Project, proc. of the IEEE INTERNATIONAL WORKSHOP ON Metrology for Industry 4.0 and IoT APRIL 16-18, 2018, BRESCIA, ITALY, pagg. 141-146, ISBN: 978-1-5386-2496-8
Abstract: In this paper, the preliminary results of the research project “Monitoraggio continuo per le Acque reflue 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
Keyword: wastewater, e-nose sensor, monitoring