EPSRC Reference: |
GR/M15415/01 |
Title: |
MANAGEMENT OF UNCERTAINTY AND DATA ACCURACY FOR ON-LINE MONITORING AND BURST DETECTION IN WATER NETWORKS |
Principal Investigator: |
Powell, Dr R |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Design and Systems Engineering |
Organisation: |
Brunel University London |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 October 1998 |
Ends: |
30 September 2001 |
Value (£): |
221,291
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EPSRC Research Topic Classifications: |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The project aims to develop methodologies, methods and techniques for the management of both data accuracy and uncertainty, in order to lay the foundations for reliable and robust on-line monitoring of water networks. Such monitoring is in turn a prerequisite for both active on-line control and detection of anomalies, including bursts. In the area of data accuracy, the project will make use of advanced data processing techniques that have not been applied in the UK water industry. Tests will be made on the effects of improved (target-orientated) measurements and data validation on water balance and leakage quantification.In the area of management of uncertainty, the research effort will be aimed at developing state and parameter estimation techniques, with particular reference to the characteristics, as well as the needs, of on-line control of water supply networks. In particular, problems that need to be addressed stem form the extreme scarcity and uncertainty of measurements and parameters; the needs to estimate and hence model leakage accurately; the need to build in diagnostics for burst and anomaly detection; the need to include system dynamics for state forecasting; and the need to deal adequately with the asynchronous nature of real-time measurements.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.brunel.ac.uk |