Chapter
Apr 26, 2012
CANARY: A Water Quality Event Detection Algorithm Development Tool
Authors: David Hart [email protected], Sean A. McKenna, Katherine Klise, Victoria Cruz, and Mark Wilson [email protected]Author Affiliations
Publication: World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat
Abstract
The detection of anomalous water quality events has become an increased priority for distribution systems, both for quality of service and security reasons. Because of the high cost associated with false detections, both missed events and false alarms, algorithms which aim to provide event detection and need to be evaluated and configured properly. CANARY has been developed to provide both real-time, and off-line analysis tools to aid in the development of these algorithms, allowing algorithm developers to focus on the algorithms themselves, rather than on how to read in data and drive the algorithms. Among the features to be discussed and demonstrated are: 1) use of a standard data exchange format for input and output of water quality and operations data streams; 2) the ability to "plug in" various water quality change detection algorithms, both in MATLAB® and compiled library formats for testing and evaluation by using a well defined interface; 3) an "operations mode" to simulate what a utility operator will receive; 4) side-by-side comparison tools for different evaluation metrics, including ROC curves, time to detect, and false alarm rates. Results will be shown using three algorithms previously developed using test and real-life data sets.
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© 2007 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Geohydrology Department, Sandia National Laboratories, PO Box 5800 MS 0735, Albuquerque, NM 87185-0735, em:. E-mail: [email protected]
Sean A. McKenna
Geohydrology Department, Sandia National Laboratories, PO Box 5800 MS 0735, Albuquerque, NM 87185-0735
Katherine Klise
Geohydrology Department, Sandia National Laboratories, PO Box 5800 MS 0735, Albuquerque, NM 87185-0735
Victoria Cruz
Geohydrology Department, Sandia National Laboratories, PO Box 5800 MS 0735, Albuquerque, NM 87185-0735
GRAM Incorporated, 8500 Menaul Blvd., NE, Suite B-335, Albuquerque, New Mexico, 87112, em:. E-mail: [email protected]
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