Anomaly Detection is implemented via built-in ThingWatcher functionality that can be deployed wherever anomaly detection functionality is required.

Typically, anomaly detection functionality is built into an edge application, either on or near the device being monitored. When ThingWatcher is deployed, it observes the data signal from a device, learns what the expected data stream looks like, and then monitors for data points that fall outside of the expected range. For example, by monitoring sensor data from a device, like a generator or an engine, ThingWatcher can detect changes in the device operation and determine whether those changes signal that the device is in an anomalous state.

ThingWatcher can detect anomalies on high and low data rate signals.

Anomaly detection can be activated through the alert process in ThingWorx Foundation. For information about implementing Anomaly Detection in ThingWorx Foundation, see the Implementing Anomaly Detection.