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Documentation > Anomaly detection > Anomaly-Driven Alarm Creation
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Anomaly-Driven Alarm Creation

Overview

Trendz supports automatic creation of alarms based on detected anomalies. This feature allows users to react to abnormal behavior in real time by integrating with ThingsBoard’s native alarm system. Alarms can be created during both Refresh and Reprocess tasks, depending on your configuration.

Enabling Alarm Creation

To set up alarm generation during anomaly detection, use one or both of the following options:

Enable Alarms in Anomaly Refresh

To enable alarm creation:

  • Go to the Jobs tab.
  • Enable the Enable Anomaly Alarms Creation toggle in the refresh settings.

Once enabled, alarms will be automatically created for all newly detected anomalies during the refresh process.

Read more about refresh configuration here.

Enable Alarms in Anomaly Reprocess

You can also generate alarms during anomaly reprocessing:

  • Go to the Tasks tab.
  • Click Run Reprocess Task.
  • Enable the Enable Anomaly Creation Toggle.

Alarms will be created for anomalies found within the selected time range and items during reprocess.

Read more about reprocess configuration here.

Alarm Behavior and Lifecycle

Here’s how alarm behavior works in Trendz:

  • One anomaly = one alarm
    Each anomaly is associated with exactly one alarm.

  • One active alarm per device at a time
    While multiple alarms can exist for a single device, only one alarm per device can be active at a time.

  • Alarm status
    • If the linked anomaly is still active → the alarm remains active.
    • If the anomaly is no longer active → the alarm is cleared.
  • Alarm severity and type
    • The severity level of the alarm is configured in the Input tab, after model build.
      Trendz generates default score thresholds for severity levels (e.g., CRITICAL, MAJOR, etc.).
    • The alarm type is also configurable in the Input tab.

  • Threshold rule
    If the anomaly score is lower than the lowest defined threshold, no alarm will be created for that anomaly.

  • Alarm deletion or clearing on anomaly deletion
    If an anomaly is removed (e.g., during reprocess or model rebuild), the linked alarm will either be cleared or deleted depending on the ALARM BEHAVIOR ON ANOMALY DELETION setting in the model.

Best Practices

To avoid unnecessary alarms and ensure effective monitoring:

  1. Enable alarm creation only if you’re confident the model detects real anomalies, not expected or typical behavior.
  2. Adjust thresholds according to your organization’s alarm policy and operational needs.
  3. Be careful with alarms to avoid alarm storms — a poorly tuned model or overly sensitive thresholds can generate too many alarms, leading to noise and alert fatigue.

Next Steps

  • Getting started guide - These guide provide quick overview of main Trendz features.

  • Installation guides - Learn how to setup ThingsBoard on various available operating systems.

  • Calculated Fields - Learn about Calculated fields and how to use them.

  • States - Learn how to define and analyse states for assets based on raw telemetry.

  • Prediction - Learn how to make forecasts and predict telemetry behavior.

  • Filters - Learn how filter dataset during analysis.

  • Available Visualizations - Learn about visualization widgets available in Trendz and how to configure them.

  • Share and embed Visualizations - Learn how to add Trendz visualizations on ThingsBoard dashboard or 3rd party web pages.

  • AI Assistant - Learn how to utilize Trendz AI capabilities.