In this course, you will learn the skills needed to successfully model your processes and equipment using the PI Asset Framework (AF) Server. This course discusses the methodologies needed to build representations of assets (AF Elements) and their associated data (AF Attributes).
The elements and attributes help you successfully organize assets into hierarchies and unify data from multiple sources, such as real-time data from the PI Data Archive; metadata from relational sources; or calculated data from PI AF formulas. Additionally, you learn how to templatize elements and add units of measurement (UOM) to standardize models across different assets or units of an organization. Then, you will learn to leverage templates to scale models out and compare like assets using OSIsoft client tools. This course also covers tag creation through PI AF.
This course is self-paced for your convenience. Thus, there are no live components to the course, nor are there are required login hours. Please use the video lectures for instruction along with the course exercises to gain hands-on experience working with key concepts. Most importantly, get involved in the discussion forums here on the PI Square community and interact with your peers and experts both at OSIsoft and other organizations, post questions, answer questions posted by others, and overall help each other learn as you would in a classroom environment.
If you’re enrolled in a facilitated session of this course, you also have the opportunity to earn a certificate of completion by submitting a final project to your course facilitator. Please see the final project for details.
This course is for beginning users of PI AF, but is open to anyone who wishes to learn more about building assets and hierarchies in PI AF, and asset-based data organization. This course is primarily suited for folks who are responsible for managing the PI AF database, since the tasks involve building elements and defining data to be associated with them.
However, any user who has read / write access to a PI AF database (even if it is a "sandbox" environment) will benefit. In fact, having a good knowledge of the equipment and processes involved will lead to more meaningful models; so participation by process engineers and other subject matter experts is highly encouraged.
Basic knowledge of the following: PI System, Microsoft Excel, and relational databases.
Each learner will be required to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.
Specifically, this course will not cover the installation of PI AF Server and PI client tools, so the student needs to ensure the following:
Students should also have read access to tag data from the PI Data Archive, and optionally the permissions to create tags and write data to them.
Optionally, if there is a foreign relational database or spreadsheet with data relevant to the process to be modelled, then read access to those tables would be useful. For instance, you may have a maintenance database that contains "nameplate" information for an equipment, manufacturer, serial number, installation date etc.
Below are the video lectures for this course. We have placed the topics in the same order as they would be presented in a live instructor-led course. However, feel free to view the videos in any order, spread over any interval. You can also rewind and rewatch parts of the videos that you need to view again. Also be sure to check out the Online Course Videos - Tips and Tricks if your videos look fuzzy!
Introduction to PI AF
PI System Explorer Basics
Introduction to PI AF Modeling
Attribute Data References
Create Templates in PI AF
Build Tags in PI AF
Organize Elements and Attributes
Currently enrolled in the course? Jump to the Discussion Forums!
Want to earn a certificate in this course? Register for the next session here
Check out our Asset Based PI Example Kits for industry-specific PI AF structures, element templates, analyses, and more!
Here's also a great take-home guide! Asset Framework Tips and Tricks