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dc.contributor.authorGarcía Valverde, Diego
dc.contributor.authorQuevedo Casín, Joseba Jokin
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.authorSaludes Closa, Jordi
dc.contributor.authorEspín, Santiago
dc.contributor.authorRoquet, Jaume
dc.contributor.authorValero, Fernando
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada II
dc.date.accessioned2014-09-26T09:22:11Z
dc.date.available2014-09-26T09:22:11Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationGarcia, D. [et al.]. Automatic validation of flowmeter data in transport water networks: Application to the ATLLc water network. A: The International Conference on Intelligent Data Engineering and Automated Learning. "Intelligent Data Engineering and Automated Learning : IDEAL 2014 : 15th International Conference : Salamanca, Spain, September 10-12, 2014 : Proceedings". Salamanca: 2014, p. 118-125.
dc.identifier.urihttp://hdl.handle.net/2117/24173
dc.description.abstractIn this paper, a methodology for data validation and reconstruction of flow meter sensor data in water networks is presented. The raw data validation is inspired on the Spanish norm (AENOR-UNE norm 500540). The methodology consists in assigning a quality level to data. These quality levels are assigned according to the number of tests that data have passed. The methodology takes into account not only spatial models but also temporal models relating the different sensors. The methodology is applied to real-data acquired from the ATLLc Water Network. The results demonstrate the performance of the proposed methodology in detecting errors in measurements and in reconstructing them.
dc.format.extent8 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshWater -- Distribution
dc.titleAutomatic validation of flowmeter data in transport water networks: Application to the ATLLc water network
dc.typeConference report
dc.subject.lemacAigua -- Distribució -- Barcelona (Catalunya)
dc.contributor.groupUniversitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1007/978-3-319-10840-7_15
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-319-10840-7_15
dc.rights.accessOpen Access
drac.iddocument15183141
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorGarcia, D.; Quevedo, J.; Puig, V.; Saludes, J.; Espín, S.; Roquet, J.; Valero, F.
upcommons.citation.contributorThe International Conference on Intelligent Data Engineering and Automated Learning
upcommons.citation.pubplaceSalamanca
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIntelligent Data Engineering and Automated Learning : IDEAL 2014 : 15th International Conference : Salamanca, Spain, September 10-12, 2014 : Proceedings
upcommons.citation.startingPage118
upcommons.citation.endingPage125


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