Demonstration of a Model-Based Technology for Monitoring Water Quality and Corrosion in Water-Distribution systems

Abstract

The objective of this project was to demonstrate an always-on, model-based monitoring technology for potable water-distribution systems. The technology uses near-real-time sensor data to estimate key water-quality parameters and corrosivity indices throughout the network so localized corrosion problems can be detected. Researchers successfully created a computerized model of the Fort Drum, NY, water-distribution system, but an unforeseen project-scheduling conflict with a major upgrade of the installations Supervisory Control and Data Acquisition (SCADA) system prevented completion of the user interface between the model and sensors. The model was successfully tested offline, however, using archived sensor data. It estimated key water-quality parameters and corrosivity indices throughout the distribution system, but its accuracy was validated at only one location. The results were promising but did not return enough data to validate simulation accuracy or to conclude that real-time operation would be successful. Therefore, the demonstrated system cannot be recommended for implementation. This report documents the modeling technology, creation of the Fort Drum model, the general sensor interface design, offline demonstration of the model, and results of evaluation against the project metrics. Lessons learned are documented and recent advances in similar technology are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2016
Accession Number
AD1025134

Entities

People

  • Kevin Russell
  • Robert Broadwater
  • Vicki L. Van Blaricum

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Accuracy
  • Chemistry
  • Computer Network Security
  • Computer Programming
  • Corrosion Inhibition
  • Data Acquisition
  • Drinking Water
  • Engineering
  • Environmental Protection
  • Fluid Flow
  • Geographic Information Systems
  • Groundwater
  • Lessons Learned
  • Simulations
  • Steady State
  • Supervisory Control
  • Water Quality

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.