Anomaly Detection: Six Methods, One Queue

A modern building generates tens of thousands of signals an hour. A small fraction of those are anomalous. A small fraction of those are actually worth your attention. Anomaly detection is the discipline of producing that small fraction reliably.

FrostLogic Explore detects across six methods: Sensor drift — slow, sustained deviation from the expected baseline. Stuck values — sensor returns a constant where variance is expected. Energy spike — statistically improbable consumption jump. Forecast deviation — reality has diverged from the forecast beyond confidence band. Sensor offline — reporting cadence stopped or degraded. Cross-signal incoherence — related signals physically contradict each other.

Every anomaly is severity-scored, classified, and dropped into a single prioritised queue — the inverse of the alarm storm a traditional BMS produces.