| dc.contributor.author | Allen, Michael | |
| dc.contributor.author | Preis, Ami | |
| dc.contributor.author | Iqbal, Mudasser | |
| dc.contributor.author | Whittle, Andrew | |
| dc.date.accessioned | 2015-01-09T15:28:31Z | |
| dc.date.available | 2015-01-09T15:28:31Z | |
| dc.date.issued | 2013-07 | |
| dc.identifier.isbn | 978-0-7695-5005-3 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/92758 | |
| dc.description.abstract | Water 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.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1109/SNPD.2013.97 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | Anne Graham | en_US |
| dc.title | Water Distribution System Monitoring and Decision Support Using a Wireless Sensor Network | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Allen, 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.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | en_US |
| dc.contributor.approver | Whittle, Andrew | en_US |
| dc.contributor.mitauthor | Whittle, Andrew | en_US |
| dc.relation.journal | Proceedings of the 2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dspace.orderedauthors | Allen, Michael; Preis, Ami; Iqbal, Mudasser; Whittle, Andrew J. | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0001-5358-4140 | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
| mit.metadata.status | Complete | |