AVEVA™ PI System™ Feedback Portal

Welcome to our 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.

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Status In development
Product AVEVA™ PI Vision™
Categories User Experience
Created by Laurie Dieffenbach
Created on Nov 3, 2022

RELATED IDEAS

Improve performance of Analysis, StringBuilder, and UriBuilder attributes

Performance of PI Vision under load is improved for Analysis, StringBuilder, and UriBuilder attributes.

In a recent Tech Support case (01004206), some PI Vision performance bottlenecks were identified and the customer was directed to address these in affected displays. However, the better, long-term solution is to address these product bottlenecks. In the short term, it is difficult to identify which displays may have the identified issues, so more tools to spotlight displays with poor performance would be useful.

The bottlenecks identified included:

  1. AF attributes with data reference types URI, string buider, analysis, and custom are single-threaded.


  • Attach files
  • jerome.boudon
    Reply
    |     Mar 25, 2024

    Because of one display, our Production PI Vision was unusable for 3 weeks and blocked 200-300 users per day.

    It took a long time for the tech support to identify it (case 01151629),requiring the analysis of dumpsto find the issue.

    It is now mandatory that AVEVA provides a PI Vision diagnostic tool so we can identify which displays, queries create issues on PI Vision performance on a daily basis.

    In our case, the problem was due to the fact that only one thread is used by PI Vision to resolve Data refernce, formulas... It would be better to use several threads to do it.