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).
By the end of the course, you will be able to:
- Organize assets into AF hierarchies
- Unify data from multiple sources (PI Data Archive, relational sources, calculations from Asset Analytics) in AF
- Standardize models across different assets using:
- Substitution parameters
- Unit of measurement (UOM)
- Create tags through AF
Audience: 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.
Time: Study 4-5 hours/week, for 3 weeks
Prerequisites: Basic knowledge of the PI System, Microsoft Excel, and relational databases.
- 259 USD: By signing up for this course you will have access to:
- OSIsoft Engineers who can review your final project
- Sharable certificate of completion that can be directly posted on LinkedIn (*To obtain the certificate of completion, you need to pass the final project.)
You can also audit the video lecture content on the OSIsoft Learning YouTube Channel. This does not include the exercises, supplementary readings, graded final project or certificate of completion.
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:
- Access to a PI AF database with read/write permissions (that is, permissions to create elements and attributes in PI AF).
- Installation of PI System Explorer and Microsoft Excel with the PI AF Builder add-in.
- Access to visualization tools such as PI DataLink (2013 or above), PI ProcessBook (3.2 or above), and PI Vision.
- 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.
- Optional: 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.
If you do not have access to your own PI System, subscribe to the optional Training Cloud Environment:
Grading and Certification of Completion: Once you register for this course, you must select one of the final submission review periods below. During this period, our course facilitators will be available to review and grade your project. If you don't receive a passing grade in the first submission, you can re-submit your work again during the 1 week review period.