Project 4182
Interpreting Real-Time Online Monitoring Data For Water Quality Event Detection
$773,106
Principal Investigator
John Cook
Project Manager
Hsiao-wen Chen
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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Resources
Subscriber
Demo for an Advanced Real-time Monitoring and Decision Aide (ARMADA)
An alternative, “multi-site approach” is demonstrated here using an experimental computer program called the Advanced Real-time Monitoring And Decision Aide (ARMADA). The concept is that water quality signals at a...
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