Training in
Asset hierarchies and analysis with PI AF
Objectives
In this course, you will learn the skills necessary 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 configuration of email notifications (PI Notifications).
Course 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 how to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that produce critical, 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 the organizational structure through hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how the results should be displayed.
In this class we will discuss and build basic AF elements and attributes, build calculations and set up relational database queries. In a simulated environment, Asset Analytics is used to calculate metric data for Overall Equipment Effectiveness (OEE). We see how Event Frames are applied to monitor the production process for downtime situations and for process excursions. We explore the visualization of information with different PI Visualization Suite products. In the advanced exercises we discuss the combination of the various elements to provide users with complex information structures. We will build connections to relational databases and use that information in visualizations and analysis.
Notifications, which allow users to configure custom alarms through a standard user interface based on any data source, will also be covered in detail. Leveraging AF’s generic data access and template-based capabilities, users can redistribute alarm parameters in Notifications to similar assets across the enterprise. When operational deviations occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team reflecting the organization’s chain of command.
Topics
Asset Framework
- What does AF do for me?
- What are the benefits of the Asset Framework?
- Defining the role of the Asset Framework
- Defining assets and attributes
- Entering items and attributes
- Finding data
Attribute traits - Units of measure (UM)
- Asset hierarchy design strategies
- Organizing AF items into hierarchies
- Using the import and export feature in PSE
- Adding analytics to assets
- Overview of AF calculation options
- Formula data reference
- Value retrieval modes
- Tracking important events
- Tracking production downtime
- Consuming event frames
- Advanced item template design
- Setting up notifications
- Formatting information to be delivered
- Acknowledging notifications
- Adding contacts
- Sending notifications through a web service
Why apply for PI Asset Framework Training
- Our staff works closely with Aveva OSIsoft’s development, training, and technical support teams to provide unique expertise and knowledge of Aveva OSIsoft products.
- Additionally, our professionals receive ongoing training on all PI System tools.
- Schedule PIPER Solutions requires a minimum of 2 weeks notice to prepare course documentation, prepare Azure virtual machines, and assign an instructor.
Timeline
PIPER Solutions will ship or deliver training materials on or before the first day of the course. A typical timeline from ordering service to completion is:
- At least two weeks before the training: communication of prerequisites and dates of remote sessions with PIPER.
- One week before the training – Preparation of Azure virtual machines. Training week – Remote training (3 days).
- Each session is 8 hours (According to the availability of the students).
Requirements
The client is responsible for providing a fully equipped classroom. The minimum requirements for a classroom are:
- One PC per person, with the minimum technical specifications of an I3 5th generation processor or higher, 4 GB of RAM, 15 GB of free hard drive space, TCP/IP networking, and Windows® 7 – Windows 10.
- If using Azure, students must be able to connect to virtual machines via Remote Desktop Connection (the necessary firewall ports must be open).
- If Azure cannot be used, there are a number of on-site software requirements that must be met. Your instructor will discuss these requirements with you and may also assist in testing Azure connectivity.
- The participant group 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 of the PI System is recommended, but not required.
PIPER Solutions es un socio estratégico de AVEVA
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