A real-time household water consumption monitoring and processing system aimed at leakage identification at user level is presented. The system, developed within the GST4Water project, allows consumption data sent by a generic smart meter installed in a user’s house to be received and transferred to a cloud platform. Here, the consumption data are stored and processed through an empirical algorithm able to automatically identify leakage at the individual user level by looking for non-consumption in some periods of the day. With reference to a real-life case study, the results obtained show that the algorithm enables leakages on users’ properties to be identified with an accuracy of more than 90%. Therefore, the implementation of this algorithm within a highly innovative smart metering system can represent an efficient tool for reducing water losses at user level.

Green Smart Technology for Water (GST4Water): Water loss identification at user level by using smart metering systems

Luciani C.
Primo
;
Casellato F.
Secondo
;
Alvisi S.
Penultimo
;
Franchini M.
Ultimo
2019

Abstract

A real-time household water consumption monitoring and processing system aimed at leakage identification at user level is presented. The system, developed within the GST4Water project, allows consumption data sent by a generic smart meter installed in a user’s house to be received and transferred to a cloud platform. Here, the consumption data are stored and processed through an empirical algorithm able to automatically identify leakage at the individual user level by looking for non-consumption in some periods of the day. With reference to a real-life case study, the results obtained show that the algorithm enables leakages on users’ properties to be identified with an accuracy of more than 90%. Therefore, the implementation of this algorithm within a highly innovative smart metering system can represent an efficient tool for reducing water losses at user level.
2019
Luciani, C.; Casellato, F.; Alvisi, S.; Franchini, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2401132
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