Building PI System Assets and Analytics with AF - Australia

In this class, we discuss and build basic AF elements and attributes, construct calculations, explore events frames, set up notifications and configure relational database queries.

About this course

Introduction

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 will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

Note: OSIsoft Learning Group is preparing documentation to obtain IACET accreditation to offer Continuing Education Units (CEUs). Upon successful completion of IACET assessment, the course description will be updated with CEUs instead of classroom instruction hours.

Who Should Take This Class

I am a process engineer who will be guiding my organization to get the greatest value from the PI System. I need to understand all the benefits of the feature that are available with AF. I will be the individual or team lead that will define what tags are defined in the Data Archive and the best corresponding asset structure(s) in the AF Server. I will help generate the value for my users by defining key performance indicator calculations used in dashboards and reports. I will be able to explain how the use of Asset Analytics for automatic creation of Event Frames will help to monitor the production process. I need to understand the tools used to efficiently build tags, assets, and analytics. This class is designed for administrators who will be configuring the AF database. Knowledge of the Data Archive is required, although no administration or maintenance tasks are discussed or required.

Prerequisites

  • Basic knowledge of the PI System
  • Basic knowledge of Microsoft Excel
  • Basic understanding of a relational database

Class Outline

The class begins with an introduction to the PI System and its components. The student will gain an understanding of the infrastructure as a whole, and how the various pieces will contribute to their overall value of the customer.

The course will then be devoted to a series of exercises where the student is challenged to develop a working example of a plant within the AF structure. The student will become familiar with tools that are used in configuring your plant data, viewing your plant data and being forewarned of plant data changes. These sections make up the bulk of the course and are designed to give users a working knowledge and new skills to use toward problem solving.

These topics will be covered in each class.

  • Understanding the PI System Architecture
  • Key Features of the AF Server
  • Modelling your Assets with AF
  • Organizing/Structuring your Assets
  • Visualizing your Assets
  • Aggregating External Data in AF
  • Adding Business Rules, KPIs and Calculation Results to your Assets
  • Being Informed of Important Events
  • Scaling Out Your AF System
  • Communicating Important Events

Final Challenge – Modeling a Wind Farm in AF

The course ends with a challenge to use all of the tools presented in class to build a complete data solution. The goal of this is two-fold: to reinforce in the student the new skills learned in the class and to allow more time for the student to ask questions and get clarification on concepts prior to returning to their job.

Download Course Content.

Course Outline

  • Available Dates and Locations
  • Course Evaluation
  • How did it go?
  • Next Steps

About this course

Introduction

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 will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

Note: OSIsoft Learning Group is preparing documentation to obtain IACET accreditation to offer Continuing Education Units (CEUs). Upon successful completion of IACET assessment, the course description will be updated with CEUs instead of classroom instruction hours.

Who Should Take This Class

I am a process engineer who will be guiding my organization to get the greatest value from the PI System. I need to understand all the benefits of the feature that are available with AF. I will be the individual or team lead that will define what tags are defined in the Data Archive and the best corresponding asset structure(s) in the AF Server. I will help generate the value for my users by defining key performance indicator calculations used in dashboards and reports. I will be able to explain how the use of Asset Analytics for automatic creation of Event Frames will help to monitor the production process. I need to understand the tools used to efficiently build tags, assets, and analytics. This class is designed for administrators who will be configuring the AF database. Knowledge of the Data Archive is required, although no administration or maintenance tasks are discussed or required.

Prerequisites

  • Basic knowledge of the PI System
  • Basic knowledge of Microsoft Excel
  • Basic understanding of a relational database

Class Outline

The class begins with an introduction to the PI System and its components. The student will gain an understanding of the infrastructure as a whole, and how the various pieces will contribute to their overall value of the customer.

The course will then be devoted to a series of exercises where the student is challenged to develop a working example of a plant within the AF structure. The student will become familiar with tools that are used in configuring your plant data, viewing your plant data and being forewarned of plant data changes. These sections make up the bulk of the course and are designed to give users a working knowledge and new skills to use toward problem solving.

These topics will be covered in each class.

  • Understanding the PI System Architecture
  • Key Features of the AF Server
  • Modelling your Assets with AF
  • Organizing/Structuring your Assets
  • Visualizing your Assets
  • Aggregating External Data in AF
  • Adding Business Rules, KPIs and Calculation Results to your Assets
  • Being Informed of Important Events
  • Scaling Out Your AF System
  • Communicating Important Events

Final Challenge – Modeling a Wind Farm in AF

The course ends with a challenge to use all of the tools presented in class to build a complete data solution. The goal of this is two-fold: to reinforce in the student the new skills learned in the class and to allow more time for the student to ask questions and get clarification on concepts prior to returning to their job.

Download Course Content.

Course Outline

  • Available Dates and Locations
  • Course Evaluation
  • How did it go?
  • Next Steps