Skip to Main Content
AVEVA™ PI System™ Feedback Portal

Welcome to our new feedback site!


We created this site to hear your enhancement ideas, suggestions and feedback about AVEVA products and services. All of the feedback you share here is monitored and reviewed by the AVEVA product managers.

To start, take a look at the ideas in the list below and VOTE for your favorite ideas submitted by other users. POST your own idea if it hasn’t been suggested yet. Include COMMENTS and share relevant business case details that will help our product team get more information on the suggestion. Please note that your ideas and comments are visible to all other users.


This page is for feedback specifically for AVEVA PI System. For links to our other feedback portals, please see the tab RESOURCES below.

Status No Status
Created by Nathan Skitt
Created on Aug 20, 2022

Allow Asset Analytics to Evaluate functions for questionable flagged values

Data can be flagged as questionable, which should mean the value may or may not be valid. Asset Analytics seems to be rejecting the value as Bad. The function instead should evaluate the result, but flagging the result as questionable as well.
  • Attach files
  • Dan Benedict
    Reply
    |
    Jun 21, 2024

    I am voting for this as I agree with MAI's comment. Having an optional parameter for inclusion/exclusion of the questionable flag would be valuable to many of the AF analysis functions.

  • Brent Bregenzer
    Reply
    |
    Aug 20, 2022
    A similar use case is outlined here: https://pisquare.osisoft.com/thread/15041-howto-set-the-pi-tag-questionable-flag-from-af-analysis with known issue referenced: 116667 - Support setting data quality related flags from analysis (no external link at this time). Related known issue is BadVal handling of questionable data: https://customers.osisoft.com/s/knowledgearticle?knowledgeArticleUrl=EC047944-1AC3-7C19-807E-1815B63A6944
  • MAl
    Reply
    |
    Aug 20, 2022
    I noticed that some functions are excluding questionable values (Avg, SStDev,...) while others are including them (TagMean, StDev,...): this is misleading. Moreover, there should be more coerence between PE and AF Analysis, as in case of only questionable values an expression like Avg(TagVal('tag1','y'),TagVal('tag2', 'y')) would work in PE and fail in AF. I voted this idea as I agree that the result of questionable values is questionable too. For the future, I would suggest to implement an optional parameter Questionable/NoQuestionable for all the statistical functions, in order to include/exclude questionable values.