Waste water management process has a significant role in guarantee sea and surface water bodies water quality with direct impact on tourism based economy and public health. Protection of this critical infrastructure form illicit discharges is hence paramount for the whole society. Here, We propose a pervasive monitoring centered approach to the protection of wastewater management plant. An hybrid sensor network is actually deployed along the wastewater network including several different transducers. Incepted data are harmonized and processed with an integrated SWMM model and machine learning based approach in order to forecast water qualitative and quantitative aspects, detect and localize anomalies. An advanced WEBGIS-SOS based interface conveys relevant information to the management entity allowing it to take appropriate actions in a timely way, reducing and mitigating the impacts of illicit discharges.

A Distributed Sensor Network for Waste Water Management Plant Protection

De Vito, S.;ESPOSITO, Emanuele;SALVATO, Maria;Leopardi, A.;
2018

Abstract

Waste water management process has a significant role in guarantee sea and surface water bodies water quality with direct impact on tourism based economy and public health. Protection of this critical infrastructure form illicit discharges is hence paramount for the whole society. Here, We propose a pervasive monitoring centered approach to the protection of wastewater management plant. An hybrid sensor network is actually deployed along the wastewater network including several different transducers. Incepted data are harmonized and processed with an integrated SWMM model and machine learning based approach in order to forecast water qualitative and quantitative aspects, detect and localize anomalies. An advanced WEBGIS-SOS based interface conveys relevant information to the management entity allowing it to take appropriate actions in a timely way, reducing and mitigating the impacts of illicit discharges.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11580/65747
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