Discover why PI Vision is truly the next generation of PI System visualization. Create, format and organize your displays with graphics, multi-state values, and trends. Group symbols and create pinned event for comparison purposes. Explore the interaction of AF and PI Vision for events.

This lab teaches how to utilize Event Frames to monitor plant operations effectively, as well as for Overall Equipment Effectiveness (OEE) analysis. The exercises in this lab focus on using Event Frames to monitor plant-wide health of equipment through the PI System: PI Vision, PI DataLink, Asset Analytics, PI Builder, and PI System Management Tools. Topics of discussion in this lab include: what real-time events should be captured using Event Frames, how to delineate important events from average events, how best to visualize Event Frames, and how to use Event Frames to increase the efficiency of plant-wide equipment.   

Power User Lab.

This lab includes use cases to review process condition monitoring vs. machine condition monitoring and the related process reliability vs. equipment reliability. This lab also includes topics related to Reliability Centered Maintenance (RCM), failure modes etc. as they relate to the PI System and AF data models. Additionally, we will cover IIoT’s role in Condition Based Monitoring (CBM).

 

This lab is intended for PI users desiring to learn a new tool for agile, ad hoc, process data analysis.  We will be using Microsoft Power BI to analyze PI Views published by the PI Integrator for Business Analytics.  The hands-on examples help students appreciate of how multidimensional data analysis can help gain command of large datasets through filtering and grouping of process measurements.  The lab will cover other relevant features like how to expand the scope of your analysis be including data from other sources, applying statistical evaluations of your data and by defining measures for benchmarking and advanced analysis.  If you’ve become frustrated trying to manage today’s mega-spreadsheet, this lab might have the answer for you. 

Come to this lab and learn how to get more insight and knowledge from the familiar datasets in your PI System. As a PI System professional you have worked with the PI System and know how it works. Use the concepts in this lab to extract more value and become the super star who creates knowledge from data through good visualization and analytics. Understanding of the basics of PI System tools is a prerequisite for this lab. No prior knowledge of data science concepts are required.

Who doesn't like a sneak preview?  This lab will allow you to get a hands-on experience with a new product that will aid you in understanding the health of your PI System.  We will provide you with a PI System so you can learn how to setup and configure the hierarchy for the PI System Health Dashboard, subscribe to notifications, and explore troubleshooting with this new tool.  The first release of the PI System Health Tool focuses on the health of the data flow between your PI Interfaces (OPC, RDBMS, Modbus, PI to PI, and UFL) and your Data Archive. We will also support monitoring from certain PI Connectors.

This hands-on lab covers scenarios to illustrate the different levels of analytics that are fit-for-purpose when using the PI System. For example, what calculations and analyses do you do in AF? When do you use MATLAB and similar libraries for advanced calculations that hook into AF?  When do you call on “data science and machine learning?” Use cases will include those focused on an equipment, such as a pump, motor or compressor, and those focused on a process. We will also cover examples of advanced analytics that are part of the data collection from the edge devices and contrast these with predictive analytics – both the model development and model deployment (scoring new incoming real-time data) and include cloud vs. fog vs. edge scenarios.