Anomalies View Report
The Anomaly View Report is a fully configured solution for anomaly visualization. The view functionality is quite similar to the Review tab in the anomaly model details (read more about the Review tab here).
You can customize the view using the following settings:
- Default Anomaly Selection: Sets the default anomaly selected when opening the view.
- Options:
last
,max score index
- Location: Settings → General → Default anomaly selection
- Options:
- Hide Anomalies List: Hides the anomalies list widget from the view.
- Location: Settings → View mode fields → Hide anomalies list
- Hide Anomalies Chart: Hides the anomalies chart widget from the view.
- Location: Settings → View mode fields → Hide anomalies chart
- Timerange: Sets the time range used for the anomalies view.
- Location: Upper central section of the view
- Filters: Selects which items will be shown in the widget.
- Location: Upper left section of the view
Anomaly View Field
Trendz provides low-level tools for anomaly visualization via Anomaly Fields, which can be used to build custom dashboards and insights.
To use anomaly fields:
- Open any view (e.g., timeseries, card, bar chart).
- Drag and drop the Anomaly Field onto the canvas.
- Click on it to configure its properties.
Field Properties
- Anomaly: (
SCORE
,SCORE_INDEX
) Select which anomaly metric to visualize:SCORE
: Like temperature - shows anomaly intensity at a point in time.SCORE_INDEX
: Like area - accumulates across anomaly duration to show total impact.
-
Model: Select an active anomaly model. Only active models are available for visualization.
- Aggregation: Defines how values are combined across time or entities:
- For SCORE:
- Recommended:
MAX
,LATEST
,COUNT
- Not recommended:
SUM
,AVG
,MIN
,UNIQ
- Recommended:
- For SCORE_INDEX:
- Recommended:
COUNT
,SUM
,UNIQ
,LATEST
- Acceptable but less sensitive:
AVG
,MIN
- Recommended:
Use
MAX
forSCORE
to catch peak anomaly intensity. UseSUM
forSCORE_INDEX
to visualize the full anomaly footprint. - For SCORE:
-
Label (Anomaly): field name as shown in the chart legend.
- Chart Type: Choose from:
bar
,line
, orarea
Anomaly fields are ideal for building flexible visualizations across time and devices without storing anomalies in ThingsBoard.
Anomaly Business Entity Fields
Available only when “Save to TB” is enabled (See this section for more on saving to ThingsBoard).
To use:
- Open any view.
- Navigate to a business entity linked to an anomaly model.
- Drag and drop the following fields:
{Model Name} SCORE
{Model Name} SCORE INDEX
- Use Anomaly Fields when you need to count anomalies or avoid saving them to TB.
- Use Business Entity Fields when anomalies are saved, and you want precise control.
Best Practices
Use the following guidance to choose the right tool for visualizing and analyzing anomalies in Trendz:
- If you want a simple, plug-and-play anomaly visualization:
- Use Anomaly Report.
- If you need flexible visualizations and don’t want to save anomalies to ThingsBoard:
- Use Anomaly Fields.
- If you need fine control over which anomalies are saved to ThingsBoard:
- Use Anomaly Business Entity Fields.
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.