2021年1月15日 · PI Asset Framework is a tool that allows you to model either physical or logical objects in the way that best suits the way you wish to view those assets and the data associated with them. With Asset Framework, you can identify the components or elements that make up a process, specify relationships between those objects and organize them in ...

PI Asset Framework (PI AF) is a single repository for asset-centric models, hierarchies, objects, and equipment. It integrates, contextualizes, refines, references, and further analyzes data from multiple sources, including one or more PI Data Archives and non-PI sources such as external relational databases. Asset Analytics

2025年1月8日 · The expression can include PI AF attributes, variables from earlier rows in the analysis, and functions. The current computed value of the expression. Click Evaluate to …

Learn about Asset Framework (AF), and get more out of your PI System with its powerful tools! This video provides a general overview on the possibilities tha...

2019年3月20日 · AF SDK comes from the AF Client install kit. To download it, you will have to login to myOSIsoft with your SSO account and search for AF Client in the products. Other software that you might want to use for working with AF SDK is an IDE such as Visual Studio.

Users can configure, schedule and run calculations written using PI Performance Equation (PE) syntax acting on their PI Asset Framework (PI AF) attributes. PE expressions, Rollup calculations and generation of PI Event Frames based on trigger conditions are all supported analysis types.

The substitution parameters in PI Analysis Framework (PI AF) and PI Event Frames (PI EF) are very powerful for creating a PI AF structure that can leverage the power of the templates and is more maintainable.

Users can configure, schedule and run calculations written using PI Performance Equation (PE) syntax acting on their PI Asset Framework (PI AF) attributes. PE expressions, Rollup calculations and generation of PI Event Frames based on trigger conditions are all supported analysis types.

This paper will establish the current best practices for building the PI AF structures for an Enterprise PI AF deployment. This document includes best practices for, but is not limited to: The use of PI AF templates; Classifying templates, elements, and attributes templates and analysis templates; Using attributes and PI AF data references

• The PI Data Archive is focused on a points database • Asset Framework (AF) is a Meta-data structure for the data – PI Data Archive supplies “data” – AF supplies structure and access across the “data” 3