Variable True For parameter for Event Frame Analyses
As an AF Administrator, I want to configure an Analysis Template for Event Frames with a True For parameter that would have it's value stored in an AF Attribute (configuration item). The use case is that elements built from the template will have ...
I would like to have monthly and yearly periodic trigger for Analysis-Expression and Event Frame Generation. Currently I have to use the daily trigger and check in the analysis if the month or the year changed. In case of “false” there is no outpu...
The arrays in Expression and Event Frame Generation analyses are useful, but use cases are emerging where more functions are needed to reduce/calculate the arrays in more streamlined fashion. For example, Concat function should support array of ch...
Currently PI Analysis Service has a built-in Statistics tool in PI System Explorer.
It is able to show statistics regarding Evaluation and Calculation Lag as well as Skipped Evaluations and some other important information.
PI System Explorer ...
Add configurable defaults for PI Point "Pointsecurity" and "Datasecurity"
Read access to the PIPOINT table is required for most identities. Pointsecurity and Datasecurity currently use the settings on the PIPOINT table as the default. New points will generally give read access to most identities because of these default...
As a user of analyses, I would like to have a Percentile function so that I can filter out atypical events when doing summary calls. The function would look like this: Percentile('attribute', 'timerange', value). This is related to enhancement req...
As an analysis user I would like to define what should happen if multiple triggers occur with the same timestamp.
Currently AF analysis are using "Replace" mode when writing to the archive (meaning if multiple triggers have the same timestamp, the...
As a PI Administrator, I want to know which tags are being used at which PI Analysis so I can know exactly if there is already another Analysis writing to a tag and avoid duplicated or wrong data.