本页目录

• Simple Prediction
• Forecast resource usage
• Prediction Models
• Compare prediction with historical data
• Next Steps

Trendz has built-in instruments for timeseries prediction in few clicks. All required work, like data filtering, normalization and model training performed in the background. You can enable prediction for any fields including calculated fields.

Simple Prediction

In this example we monitor vibration of pumps on water station. We want predict when vibration will rich critical levels so we can schedule preventive maintenance for the pump and avoid unplanned downtime.

• Create line chart
• Add Date(RAW) field on X-axis
• Add Pump name field to Filter section and select required Pump
• Add Pump vibration telemetry on Y-axis - on this step we will see current vibration for the pump
• Add Pump vibration telemetry again to the Y-axis and change label of this field to forecast

Now Our Chart is ready for making forecast:

• Enable Predction check box for forecast field
• Select FOURIER_TRANSFORMATION as Prediction Method
• Set Prediction Unit to days
• Set Prediction Range to 2 - we make forecast for the next 2 days

Forecast resource usage

In this example, we forecast how much energy would be consumed by teh building during next year. We have Buildings, Apartments and each Apartment has energy meter. We need to aggregate telemetry from sensors on building level and then build a forecast.

• Create Bar chart
• Add Date(RAW) field on X-axis
• Add Building name field to Filter section and select required Building
• Add Energy Meter energyConsumption telemetry on Y-axis - on this step we will see current vibration for the pump
• Add Energy Meter energyConsumption telemetry again to the Y-axis and change label of this field to forecast
• Use SUM aggregation for both fields
• Enable Predction check box for forecast field
• Select LINEAR_REGRESSION as Prediction Method
• Set Prediction Unit to years
• Set Prediction Range to 1 - we make forecast for the next year
• In View Settings Enable Stacked Bar mode - we want to stack values for the current month

Prediction Models

Trendz implements few methods for timeseries prediction:

• Linerar Regresssion
• OLS Linerar Regresssion
• ARIMA
• Fourier Transformation

Compare prediction with historical data

If you want to see how trained model looks like compared to historical data you need to enable Show Historical part checkbox in field configuration. Once enabled, predicted dataset will contain historical part predicted with the same model.

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.

• Group and Aggregate data - Learn how to group and aggregate data in Trendz.

• 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.