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.
Long-term trend analysis enables the Detector to identify and alert for deterioration of equipment or processes and recommend corrective actions.
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.