Xy-Plot for Better data analysis
XY Plots for operators
XY-Plot in IGSS shows the relationship between two analog objects for a chosen period.
With the XY-Plot you can easily determine whether there is a linear or exponential relationship between the two data sets.
The XY-Plot makes it possible to visualize the correlation between two IGSS objects based on historical values. Up to 4 object pairs may be included on a single xy-plot.
Creating and using XY-Plot
An operator/system integrator can create and use XY-plot or embedded XY-plot as easy as when creating and using a normal IGSS graph.
XY-plot can be created from Graph menu in Supervise or by selecting 2 objects and add to XY-plot with right mouse click in Supervise.
In Definition an embedded XY-plot can be created easily from the Drawing tool by clicking on the XY-Plot icon and then drawing on the Diagram.
Or by going to Objects – Data Visualization – XY-plot…
Setting up XY-Plot
When System Integrators or End users create an XY-Plot, the user will have to select a pair of analog objects to be visualized in the XY-Plot. This is done by selecting 2 objects and right click to add in XY-Plot, or through XY-Plot properties dialog.
Use a scatter plot to determine whether or not two analog objects variables have a relationship or correlation to each other. In this instance it is wind speed in correlation with power generated by wind. You can add multiple pairs, but for the sake of data readability we recommend to keep it down to a maximum of 2 pairs to not overcrowd the XY-Plot.
In the properties dialog for an XY-Plot there are a number of settings a system integrator can adjust and set, in order to customize the design of the XY-Plot to fit within their design standard and to the end-users needs. Most settings are identical to the ones found in IGSS operator/embedded graph, such as the Atom, Data source and etc.
Others are just for the XY-Plot, such as Swap X and Y objects for quick coordinate shift. Dot shape, Dot color and Dot size for the visualization of the data points, as well as the lines of best fit.
