Water Loss Detection

Water Loss Detection uses AI to perform detection on water meter readings, pressure signals, flow data, weather, and site operations context, enabling earlier intervention on leaks and abnormal consumption, by comparing each signal with learned baselines and site-specific thresholds, across water management and utilities operations workflows.

Water-intensive sites often discover leaks, abnormal consumption, or meter issues only after billing review or manual inspection. Delayed detection increases water loss, creates compliance exposure, and makes site-level resource targets harder to manage.

The AI performs detection on water flow, pressure, meter, and operating-context data and produces flagged loss events or abnormal consumption alerts. The output is reviewed by utilities, facilities, or environmental operations teams.

The primary metric is water loss volume; the target direction is lower loss volume and shorter abnormal-consumption detection time.

• •Interval water meter, flow, pressure, site calendar, and weather data are available for the monitored locations.
• •Water management, SCADA, building management, or facilities systems can route alerts to operational owners.
• •Site-specific baselines, alert thresholds, and escalation paths are defined for abnormal water consumption.