Project #4182

Interpreting Real-Time Online Monitoring Data For Water Quality Event Detection

$773,106
Completed
Principal Investigator
John
Cook
Research Manager
Hsiao-wen Chen Ph.D.
Contractor
Advanced Data Mining International, LLC

Abstract

This project developed a universal and reliable system for analyzing and interpreting real-time online monitoring data from drinking water distribution systems. The research integrated existing water quality sensor and hydraulic data, as well as operational information, to effectively identify water quality abnormalities while minimizing false alarms. Published in 2014.

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