An improved tool of water data analytics for flowmeters data

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/116440

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.author	Quevedo Casín, Joseba Jokin
dc.contributor.author	Pesantez, José Luis
dc.contributor.author	Espin, Santiago
dc.contributor.author	Roquet, Jaume
dc.contributor.author	Valero, Fernando
dc.date	2018
dc.identifier.citation	Quevedo, J., Pesantez, J., Espin, S., Roquet, J., Valero, F. An improved tool of water data analytics for flowmeters data. A: CySWater - Cyber-Physical Systems for Smart Water Networks. "CySWter 2018: 4th International Workshop on Cyber-Physical Systems for Smart Water Networks: Porto, Portugal, April 10-13: proceedings book50-253 Porto, Portugal". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-4.
dc.identifier.citation	978-1-5386-5300-5
dc.identifier.uri	http://hdl.handle.net/2117/116440
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	info:eu-repo/grantAgreement/ES/1PE/DPI2014-58104-R
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental::Tractament de l'aigua
dc.subject	Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject	Flow meters
dc.subject	Municipal water supply
dc.subject	Detectors
dc.subject	data analytics
dc.subject	data validation
dc.subject	time series
dc.subject	flowmeters
dc.subject	water network
dc.subject	Aforadors
dc.subject	Aigua--Abastament urbà
dc.subject	Detectors
dc.title	An improved tool of water data analytics for flowmeters data
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	This paper presents an improved tool for data validation and reconstruction of flowmeters. These sensors are installed in the Catalonia regional water network from Barcelona (Spain). Here a new time series model with exogenous variable is proposed with excellent results for data validation. It is postulated that the integration of the electronics alarms, along with other tests about the daily data accumulated and a later analysis of the data reconstruction allow to improve the results of the existing tools. This is accomplished by decreasing the false alarms and missing alarms of more than 6000 hourly data retrieved from more than 200 flowmeters each day. This new tool provides reliable information daily reliable information of the state of the water network. This information could potentially contribute to optimally control and manage this large and complex water network.

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