PI System: From Data Exploration to Notification

NEW - Learn more about how the features of the PI System can work in concert to successfully address an operating problem from actual process data.

About this course

This lab targets PI System Users wanting to learn more about how the features of the PI System can work in concert to successfully address an operating problem from actual process data. It takes students through the process of data exploration, process modeling, operationalization and notification. Only PI System tools will be used.

By the end of the course, you will be able to...

  • Develop a rule for identifying EF’s based on process conditions.
  • Configure AF Analytics to generate advanced descriptive features impacting the predictive expression used to model the process.
  • Data Engineering with PI Integrator and Power BI will identify best modeling features.
  • Model development using DataLink and Excel.
  • Operationalization using AF Analytics, PI Notifications with PI Vision link contacting asset and time context.

Audience

This course is designed for: PI Users

Level: Intermediate

Study time: 4 hours

Course Access: Unlimited access. The only exception is the Training Cloud Environment for which you have 30 day access. After those 30 days you can purchase additional access with one of the two options below:

Prerequisites

  • Basic knowledge of the PI System, Microsoft Excel, and relational databases.
  • A computer that can access our YouTube content.

This Course Includes...

  • Videos, discussion opportunities and quizzes to help you learn the material
  • A Cloud Environment accessible for 30 days and configured to complete all the exercises in the course
  • A sharable certificate of completion

Further Information

  • The course is accompanied by an Azure-deployed virtual environment and a workbook, which allows you to walk through the contents in detail at your own pace.
  • This is a self-paced course. Any questions or assistance needed about the material can be asked in this course's space in the OSIsoft PI Square community
  • When you complete the examination at the end of the course, you will receive a certificate of completion which can be shared and directly posted on LinkedIn.
  • For more information about our Online Courses please visit our FAQ page

You can audit the full video lecture content right now on the OSIsoft Learning YouTube Channel

Curriculum

  • Getting Started
  • Key Course Information
  • Course Grading Scheme
  • How to Navigate This Course
  • Offline Course Videos for Blocked YouTube Users
  • Course Workbook
  • Course Presentation
  • Training Cloud Environment
  • Cloud Environments Introduction
  • Cloud Environments Instructions
  • Launch Cloud Environment
  • Lesson 1 - From Data Exploration to Notification
  • Introduction
  • [POLL] Who's from what industry
  • [DISCUSSION] Introductions
  • Gathering Domain Knowledge
  • Step-by-Step Guide to Complete ‘Gathering Domain Knowledge’ and ‘Process Improvement Idea’
  • Supporting AF Models and Features
  • Step-by-Step Guide to Complete ‘The AF Model’
  • Questions on this part of the course?
  • Lesson 2 - Exploration and Data Engineering
  • Objectives, Scenario and Approach
  • "Good" Operating State
  • Step-by-Step Guide to Complete ‘Good Operating State’
  • "Better" Operating State
  • Step-by-Step Guide to Complete ‘Better Operating State’
  • "Best" Operating State
  • Step-by-Step Guide to Complete ‘Best Operating State’
  • Add Descriptive Operating Features
  • Calculate Dryer Utilization Metrics
  • Questions on this part of the course?
  • Lesson 3 - Contextualization and Data Preparation
  • Objectives, Scenario and Approach
  • Prepare Dryer Regeneration Features: Event Frame Template
  • Step-by-Step Guide to Complete ‘Prepare Dryer Regeneration Features - Event Frame Template’
  • Prepare Dryer Regeneration Features - Asset Analytics
  • Step-by-Step Guide to Complete ‘Prepare Dryer Regeneration Features – Asset Analytics’
  • Generate Regeneration Data for Analysis
  • Step-by-Step Guide to Complete Generate Regeneration Data for Analysis
  • Questions on this part of the course?
  • Lesson 4 - Data Analysis and Qualification
  • Objectives, Scenario and Approach
  • Problem Assessment PI Integrator for Business Analytics & Power BI
  • Step-by-Step Guide to Complete 'Problem Assessment - PI Integrator for Business Analytics and Power BI'
  • Assessment of Dryer Regeneration Data in Power BI
  • Step-by-Step Guide to Complete 'Assessment of Dryer Regeneration Data in Power BI'
  • Model Development PI DataLink
  • Step-by-Step Guide to Complete 'Model Development - PI DataLink'
  • Questions on this part of the course?
  • Lesson 5 - Operationalization and Notification
  • Objectives, Scenario and Approach
  • Forecast Deployment, AF Analytics
  • Step-by-Step Guide to Complete 'Forecast Deployment - AF Analytics'
  • Proactive Solution, PI Notifications
  • Analysis for Event Frame Generation
  • Step-by-Step Guide to Complete 'Analysis for Event Frame Generation'
  • Create a Notification Rule
  • Step-by-Step Guide to Complete 'Create a Notification Rule'
  • Configure Notification Message Format
  • Step-by-Step Guide to Complete 'Configure Notification Message Format'
  • Confirming Notifications
  • Step-by-Step Guide to Complete 'Confirming Notifications'
  • Questions on this part of the course?
  • Lesson 6 - Summary
  • Revisit Learning Objectives
  • Lesson 7 - Appendix
  • Predictive Model Development and Variable Selection
  • Final Exam
  • Final Exam
  • Course Evaluation

About this course

This lab targets PI System Users wanting to learn more about how the features of the PI System can work in concert to successfully address an operating problem from actual process data. It takes students through the process of data exploration, process modeling, operationalization and notification. Only PI System tools will be used.

By the end of the course, you will be able to...

  • Develop a rule for identifying EF’s based on process conditions.
  • Configure AF Analytics to generate advanced descriptive features impacting the predictive expression used to model the process.
  • Data Engineering with PI Integrator and Power BI will identify best modeling features.
  • Model development using DataLink and Excel.
  • Operationalization using AF Analytics, PI Notifications with PI Vision link contacting asset and time context.

Audience

This course is designed for: PI Users

Level: Intermediate

Study time: 4 hours

Course Access: Unlimited access. The only exception is the Training Cloud Environment for which you have 30 day access. After those 30 days you can purchase additional access with one of the two options below:

Prerequisites

  • Basic knowledge of the PI System, Microsoft Excel, and relational databases.
  • A computer that can access our YouTube content.

This Course Includes...

  • Videos, discussion opportunities and quizzes to help you learn the material
  • A Cloud Environment accessible for 30 days and configured to complete all the exercises in the course
  • A sharable certificate of completion

Further Information

  • The course is accompanied by an Azure-deployed virtual environment and a workbook, which allows you to walk through the contents in detail at your own pace.
  • This is a self-paced course. Any questions or assistance needed about the material can be asked in this course's space in the OSIsoft PI Square community
  • When you complete the examination at the end of the course, you will receive a certificate of completion which can be shared and directly posted on LinkedIn.
  • For more information about our Online Courses please visit our FAQ page

You can audit the full video lecture content right now on the OSIsoft Learning YouTube Channel

Curriculum

  • Getting Started
  • Key Course Information
  • Course Grading Scheme
  • How to Navigate This Course
  • Offline Course Videos for Blocked YouTube Users
  • Course Workbook
  • Course Presentation
  • Training Cloud Environment
  • Cloud Environments Introduction
  • Cloud Environments Instructions
  • Launch Cloud Environment
  • Lesson 1 - From Data Exploration to Notification
  • Introduction
  • [POLL] Who's from what industry
  • [DISCUSSION] Introductions
  • Gathering Domain Knowledge
  • Step-by-Step Guide to Complete ‘Gathering Domain Knowledge’ and ‘Process Improvement Idea’
  • Supporting AF Models and Features
  • Step-by-Step Guide to Complete ‘The AF Model’
  • Questions on this part of the course?
  • Lesson 2 - Exploration and Data Engineering
  • Objectives, Scenario and Approach
  • "Good" Operating State
  • Step-by-Step Guide to Complete ‘Good Operating State’
  • "Better" Operating State
  • Step-by-Step Guide to Complete ‘Better Operating State’
  • "Best" Operating State
  • Step-by-Step Guide to Complete ‘Best Operating State’
  • Add Descriptive Operating Features
  • Calculate Dryer Utilization Metrics
  • Questions on this part of the course?
  • Lesson 3 - Contextualization and Data Preparation
  • Objectives, Scenario and Approach
  • Prepare Dryer Regeneration Features: Event Frame Template
  • Step-by-Step Guide to Complete ‘Prepare Dryer Regeneration Features - Event Frame Template’
  • Prepare Dryer Regeneration Features - Asset Analytics
  • Step-by-Step Guide to Complete ‘Prepare Dryer Regeneration Features – Asset Analytics’
  • Generate Regeneration Data for Analysis
  • Step-by-Step Guide to Complete Generate Regeneration Data for Analysis
  • Questions on this part of the course?
  • Lesson 4 - Data Analysis and Qualification
  • Objectives, Scenario and Approach
  • Problem Assessment PI Integrator for Business Analytics & Power BI
  • Step-by-Step Guide to Complete 'Problem Assessment - PI Integrator for Business Analytics and Power BI'
  • Assessment of Dryer Regeneration Data in Power BI
  • Step-by-Step Guide to Complete 'Assessment of Dryer Regeneration Data in Power BI'
  • Model Development PI DataLink
  • Step-by-Step Guide to Complete 'Model Development - PI DataLink'
  • Questions on this part of the course?
  • Lesson 5 - Operationalization and Notification
  • Objectives, Scenario and Approach
  • Forecast Deployment, AF Analytics
  • Step-by-Step Guide to Complete 'Forecast Deployment - AF Analytics'
  • Proactive Solution, PI Notifications
  • Analysis for Event Frame Generation
  • Step-by-Step Guide to Complete 'Analysis for Event Frame Generation'
  • Create a Notification Rule
  • Step-by-Step Guide to Complete 'Create a Notification Rule'
  • Configure Notification Message Format
  • Step-by-Step Guide to Complete 'Configure Notification Message Format'
  • Confirming Notifications
  • Step-by-Step Guide to Complete 'Confirming Notifications'
  • Questions on this part of the course?
  • Lesson 6 - Summary
  • Revisit Learning Objectives
  • Lesson 7 - Appendix
  • Predictive Model Development and Variable Selection
  • Final Exam
  • Final Exam
  • Course Evaluation