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.File | Dimensione | Formato | |
---|---|---|---|
water-11-00405.pdf
accesso aperto
Descrizione: versione editoriale
Tipologia:
Full text (versione editoriale)
Licenza:
Creative commons
Dimensione
341.43 kB
Formato
Adobe PDF
|
341.43 kB | Adobe PDF | Visualizza/Apri |
I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.