EDS "Mindset Detector" Server
MindSet Detector is designed to monitor and detect abnormal behavior in water systems, based on several techniques:
​
​
"Rare Combination" Alerting
The proprietary algorithm classifies historical event data, event frequency, and relevancy as Known, Unknown, Hazard, Maintenance, etc. This enables the system to detect when a new or rare combination of variables occurs and distinguish between false and real alarms.
​
Trend-Based Alerting
Long-term trend analysis enables the Detector to identify and alert for deterioration of equipment or processes and recommend corrective actions.
​
Noise-Based Alerting
The patent-pending algorithm detects changes in the variables distribution shape, sending an alert when fluctuations in the noise patterns are recognized.
​
​
Rule Engine Alerting
Detects abnormal events based on expert rules. MindSet Detector can run multiple models simultaneously and alert for each one separately.
