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Asset Hierarchies and Analytics with PI AF Training


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). This course also includes real-time calculations (Asset Analytics), Automatic creation of Events (Event Frames) and E-mail notifications configuration (PI Notifications).

Why Select PIPER’s Asset Hierarchies and Analytics with PI AF Training

Our instructor staff works closely with OSIsoft development, training, and technical support teams to bring unique experience and knowledge of the OSIsoft product line to the customer site. Most of our instructors are OSIsoft Certified Professionals.


  • Pre-service checklist review.
  • An interactive on-site Visualizing PI System Data class.
  • Provisioning of a preconfigured virtual learning environment hosted in the Microsoft® Azure cloud for student use during the class (see access requirements in the Requirements section below).
  • If Azure cannot be used, deployment of a learning environment using demo PI Tags and sample Asset Framework™ (AF) Databases in your production or test PI System.
  • Preparation of Course documentation for a maximum of 12 students per class:
    • OSIsoft training material will be current to the latest version of our tools. If you wish to have the class taught using an older version of our software, this must be specified at the time of ordering so we can prepare the appropriate course documentation.
  • Training certificates for each student.
  • Compilation of training evaluations.

Class Content

The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.The class is four days long.

Class Customization

A customized training agenda can be provided upon request to meet your organization’s specific training needs. For further information, contact PIPER’s sales team.


PIPER requires a minimum of 2 weeks’ notice in order to prepare course documentation, prepare the Azure virtual machines, and assign an instructor. PIPER will ship or deliver training material on or before the first day of the workshop. A typical timeline from ordering to completion is:

At least two weeks prior to the training — Communication of prerequisites and on-site session dates with OSIsoft.

One week prior to the training — Preparation of Azure virtual machines.

Training week — On-site training delivery (3 days).

We suggest having the class from Tuesday to Friday. This will allow the instructor to travel Monday morning and perform any required setup and testing in advance of the scheduled training days.


 The customer is responsible for providing a fully equipped classroom. The minimum requirements for a classroom are:

  • Access to training room for the duration of the workshop including preparation or software setup.
  • One PC per person including the instructor with minimum technical specifications of a Pentium® Dual Core Processor, 2GB RAM, 1GB free hard drive space, Networked TCP/IP, and Windows® 7 or Windows 8.
  • A white board or a white screen, and a compatible laptop projector.
  • Students must be allowed to use a remote desktop connection in order to connect to the Virtual Learning Environment.
  • The student body should be comprised of individuals with the following skill set:
    • Experience navigating a Microsoft Windows operating system.
    • Some experience working with Microsoft Excel.
    • Basic Knowledge in PI System.
    • Basic Knowledge in Relational Database.

Suggested Services

We recommend the following training package or equivalent experience prior to ordering the above described training:

  • PI System Visualization Tools Training.

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