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.

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https://orcid.org/0000-0001-5358-4140 under the license cc-by-nc-sa
http://dx.doi.org/10.1109/snpd.2013.97 under the license http://creativecommons.org/licenses/by-nc-sa/4.0/
http://dspace.mit.edu/bitstream/handle/1721.1/92758/Allen%20et%20al%20-%20SNPD2013.pdf?sequence=1,
https://ieeexplore.ieee.org/document/6598533,
https://dl.acm.org/citation.cfm?id=2553262,
https://www.computer.org/csdl/proceedings/snpd/2013/5005/00/5005a641.pdf,
https://academic.microsoft.com/#/detail/2160950131
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Published on 01/01/2013

Volume 2013, 2013
DOI: 10.1109/snpd.2013.97
Licence: Other

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