PI Integrator for Business Analytics views

A view is a modeled description of the PI System data you want to analyze. There are several types of views: asset views, event views, and streaming views. The question you are addressing will determine which type of view is best suited to address your use case. The following is an example of how you can use each type of view to answer different questions about your organization.

• Asset views organize data around your assets and allow you to make comparisons between assets.

  For example, let’s say you want to analyze a set of wind turbines by megawatt output and see the results by turbine model and manufacturer. You could create an asset view based on a turbine element template with megawatt output, model, and manufacturer attributes. This would allow you to compare the performance across your fleet of wind turbines.

• Event views organize data around event frames and allow you to detect patterns in the event frames.

  Note: PI Integrator for Business Analytics only returns closed event frames (with a valid start and end time). It cannot publish open event frame data.

  Using the same example above, let’s say you now want to look at the downtime of the wind turbines. You could create an event view that compares the duration of downtimes and include the model and manufacturer attributes to see if there is a pattern to the downtime event frames.

• Streaming views organize data around your assets and allow you to make this data available in near real time for predictive analytics.

  Continuing with the example above, assume you want to predict the power output from each wind turbine for the upcoming hour based on current data. You could create a streaming view that includes wind speed, air density, and current turbine megawatt output and use this data to train an analytics model predicting the power output based on these inputs.