Project #4759

Integrated Management of Sensor Data for Real Time Decision Making

$368,449
Completed
Principal Investigator
Jeff
Neemann
Research Manager
Kenan Ozekin, PhD
Contractor
Black & Veatch
Reuse
Reuse: Indirect Potable
Sensors
Advanced Treatment
Reuse: Direct Potable

Abstract

The objective of this research was to develop a framework for an overall decision support system (DSS) to aid operators and managers of direct potable reuse facilities make appropriate real-time actions based on anomalies and events at critical process control points and ensure regulatory compliance. The researchers developed an Excel-based decision support tool (DST) which can be configured based on specific facility characteristic and monitoring requirements. The DST, in conjunction with other decision support system components, can aid operators and managers of these facilities monitor process performance and identify and respond to process upsets or failures. Published by WRF. 204 pages. Online PDF. (2019)



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Originally funded as WERF project Reuse-14-01.