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dc.contributor.authorStewart, Rodney Anthony
dc.contributor.authorGiurco, Damien
dc.contributor.authorBeal, Cara
dc.contributor.editorMichele Mossa
dc.date.accessioned2014-01-08
dc.date.accessioned2017-03-02T01:13:22Z
dc.date.available2017-03-02T01:13:22Z
dc.date.issued2013
dc.date.modified2014-05-30T03:18:35Z
dc.identifier.issn1388-3445
dc.identifier.urihttp://hdl.handle.net/10072/59310
dc.description.abstractWe are at the dawn of a new era of widespread intelligent water metering delivering live consumption data to utilities and consumers in developed nations. As with most new technologies, intelligent metering will follow a type of hype cycle, where initial excitement and great expectation on its benefits is weighed down by disappointment and disillusionment from early adoptions and then strategic enlightenment will prevail and ultimately productive strategic implementation. Fortunately, the conservative nature of the water industry and the challenges of intelligent metering implementation have meant that the excitement never reached fever pitch and the sensible path to strategic enlightenment is being progressed, albeit very slowly. While the large multi-national metering and software companies have created a range of products and software systems for utilities to automatically collect, store and present reports on customer and citywide water consumption data, a plethora of informatics challenges urgently need to be addressed by researchers, engineers, planners and computer scientists to yield the numerous claimed urban water planning, engineering and management opportunities that can be extracted from this big data revolution. If the call to arms to address such challenges can be realised, significant opportunities will surface including water loss reductions, real-time design optimisation of water networks, live online water use tracking and billing, heightened customer satisfaction with the water utility sector, to name a few.
dc.description.peerreviewedNo
dc.description.publicationstatusYes
dc.format.extent509549 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherInternational Association for Hydro-Environment Engineering and Research
dc.publisher.placeSpain
dc.publisher.urihttp://www.iahr.org/site/cms/newsarticle.asp?chapter=96&nid=416
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom107
dc.relation.ispartofpageto110
dc.relation.ispartofissue4
dc.relation.ispartofjournalHydroLink
dc.relation.ispartofvolume4
dc.rights.retentionY
dc.subject.fieldofresearchEnvironmental Monitoring
dc.subject.fieldofresearchUrban and Regional Planning not elsewhere classified
dc.subject.fieldofresearchEngineering Design not elsewhere classified
dc.subject.fieldofresearchcode050206
dc.subject.fieldofresearchcode120599
dc.subject.fieldofresearchcode120499
dc.titleAge of intelligent metering and big data: Hydroinformatics challenges and opportunities
dc.typeJournal article
dc.type.descriptionC2 - Articles (Other)
dc.type.codec2
gro.facultyFaculty of Science, Environment, Engineering and Technology
gro.rights.copyright© 2013 IAHR. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.date.issued2013
gro.hasfulltextFull Text
gro.griffith.authorStewart, Rodney A.
gro.griffith.authorBeal, Cara D.


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