Asset Hierarchies and Analytics PI AF Training


Asset Hierarchies and Analytics PI AF Training


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Objectives


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.

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.

Course Deliverables


  • Pre-service checklist review.
  • Course on Asset Hierarchy Construction and Analysis with interactive AF and on-site.
  • Approval of a preconfigured virtual learning environment hosted in Microsoft Azure to be used by students during the course.
  • Preparation of documentation for the Course, with a maximum of 12 students per class.
    • The training material will be current to the latest version of the PI tools. If you need to take the class using an older version of the software, this must be specified when ordering the service, this way you can prepare the appropriate documentation,
  • Training certificates for each student.

Class Content


This course provides a practical understanding of the capabilities of the AF server, an integral part of the PI System. The participant will learn to define coherent representations of the organization's assets and / or equipment and will use these representations in simple or complex analyzes that produce critical and actionable information. AF allows the 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 to these assets and determine how the results should be displayed.

In this class, we discuss and build basic AF elements and attributes, build calculations, and configure 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 used to monitor the production process in downtime situations and for process excursions. We explore information visualization with different products in the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users with complex information structures. We will build connections to relational databases and use that information in screens and analysis.

Notifications will also be covered in detail, allowing users to configure custom alarms through a standard user interface based on any data source. By leveraging generic data access and template-driven capabilities, 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.

Do you need personalized training?

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.

Timeline


PIPER Solutions requires a minimum of 2 weeks notice to prepare course documentation, prepare Azure virtual machines, and assign an instructor. OSIsoft will send or deliver training materials on or before the first day of the course. We suggest having the class from Tuesday to Thursday.

A typical schedule from service request to completion is:

At least two weeks before the training: communicating the prerequisites and dates of the on-site sessions with PIPER.

One week before the training - Preparation of Azure virtual machines.

Training week - On-site training (03 days).

Requirements for Training


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

  • Access to the training room during the duration of the workshop, including the preparation or configuration of the software.
  • One PC per person, with the minimum technical specifications of a Pentium® Dual Core Processor , 2 GB of RAM, 1 GB of free hard disk space, network TCP / IP, and Windows® 7 or Windows 8.
  • A whiteboard or white screen and a compatible portable projector.
  • If you use Azure, students must be able to connect to virtual machines through 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 can also assist in Azure connectivity tests.
  • The group of participants should be made up of individuals with the following skill set:
    • Experience browsing a Microsoft Windows operating system.
    • Some experience working with Microsoft Excel
    • Basic knowledge of PI System.
    • Basic knowledge of Relational Databases.

Suggested Services

PI System Visualization Tools Training

This training is recommended before requesting this training course.

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