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Output details

15 - General Engineering

University of Exeter

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Output 29 of 148 in the submission

Article title

Automated Detection of Pipe Bursts and other Events in Water Distribution Systems

Type

D - Journal article

DOI

10.1061/(ASCE)WR.1943-5452.0000339

Title of journal

Journal of Water Resources Planning and Management

Article number

Volume number

Online

Issue number

First page of article

n/a

ISSN of journal

1943-5452

Year of publication

2012

URL

Number of additional authors

Additional information

This unique methodology based on Artificial Intelligence solves the important water industry problem of real-time detection of bursts in pipe networks. The new technology was patented (WO/2010/131001) and featured in news media (e.g. Water and Sewerage Journal, 3/2012). It resulted in a 3 year follow-on Knowledge Transfer Partnership (KTP008413) with United Utilities (UU), 4 year EPSRC STREAM EngD (610048904) and a keynote lecture at the world leading Computing and Control for the Water Industry 2013 conference. UU has been using detection system companywide from April 2013 benefiting its 7,000,000 customers and leading to estimated £2,000,000 annual savings (contact: Kevin.Woodward@uuplc.co.uk).

Interdisciplinary

Cross-referral requested

Research group

6 - The Water and Environment group

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract