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dc.contributor.authorAllen, Michael
dc.contributor.authorPreis, Ami
dc.contributor.authorIqbal, Mudasser
dc.contributor.authorWhittle, Andrew
dc.date.accessioned2015-01-09T15:28:31Z
dc.date.available2015-01-09T15:28:31Z
dc.date.issued2013-07
dc.identifier.isbn978-0-7695-5005-3
dc.identifier.urihttp://hdl.handle.net/1721.1/92758
dc.description.abstractWater distribution systems comprise labyrinthine networks of pipes, often in poor states of repair, that are buried beneath our city streets and relatively inaccessible. Engineers who manage these systems need reliable data to understand and detect water losses due to leaks or burst events, anomalies in the control of water quality and the impacts of operational activities (such as pipe isolation, maintenance or repair) on water supply to customers. Water Wise is a platform that manages and analyses data from a network of wireless sensor nodes, continuously monitoring hydraulic, acoustic and water quality parameters. Water Wise supports many applications including rolling predictions of water demand and hydraulic state, online detection of events such as pipe bursts, and data mining for identification of longer-term trends. This paper illustrates the advantage of the Water Wise platform in resolving operational decisions.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SNPD.2013.97en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceAnne Grahamen_US
dc.titleWater Distribution System Monitoring and Decision Support Using a Wireless Sensor Networken_US
dc.typeArticleen_US
dc.identifier.citationAllen, Michael, Ami Preis, Mudasser Iqbal, and Andrew J. Whittle. “Water Distribution System Monitoring and Decision Support Using a Wireless Sensor Network.” 2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (July 2013).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.approverWhittle, Andrewen_US
dc.contributor.mitauthorWhittle, Andrewen_US
dc.relation.journalProceedings of the 2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computingen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsAllen, Michael; Preis, Ami; Iqbal, Mudasser; Whittle, Andrew J.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5358-4140
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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