PI System Capabilities Summary

Document created by jkim Employee on Oct 30, 2017Last modified by jkim Employee on Oct 5, 2018
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Before we move on to learn how to visualize real-time asset conditions to implement CBM, let's take a few minutes to recap 'The Six Steps to enable CBM with your PI System.' You can find more detailed information on this from the CBM Guide eBook Chapter 4 - An Introduction to the PI System


As an overview, the following are the major capabilities of the PI System:


1. Collect - PI Interfaces and Connectors collect data from hundreds of source systems and have been developed over several decades. OSIsoft has a reputation for providing the highest quality interfaces in the industry. The company has developed over 400 standard interfaces and connectors that collect data from the devices, control systems, and supervisory systems of all major vendors.


2. Historization - Data Archive stores time-stamped data. It can store data for up to 20 million tags and capture hundreds of thousands of events per second. It can provide millions of time-stamped events per second to thousands of concurrent client application connections. Typical queries from users take just a few seconds to retrieve millions of time-stamped events from the Data Archive.


3. Context – Asset Framework stores metadata in a Microsoft SQL database. With Asset Framework, users can define models for equipment and other assets and use these models to create simple and complex analyses. An asset model can be configured to organize and structure PI System data and other data according to objects that users are most familiar with, such as physical objects in production processes (e.g. CMMS). It is easy to define and build models that reflect the process flow between assets.


Event Frames defines batch processes and other repeatable events (such as days, shifts, startups, and downtime) that have a start and end time. For each event type, a user can create an index for the attributes that are used most often. Data from specific events can be compared, analyzed, and included in reports.


Notifications deliver messages in real time that alert people and systems when key events occur. Users can customize and control all aspects of their notifications.


4. Analytics – PI Asset Analytics is a suite of computational and analytical tools. The PI System’s calculation capabilities support everything from simple averages, minimums, and standard deviations to complex predictive equipment models, what-if analyses, and multifaceted logic.


PI Analysis Service — Configure, schedule, and run calculations on PI Asset Framework attributes. Performance Equations — Implement sophisticated real-time calculations using PI System data. Calculations can include unit performance, real-time yield and cost accounting, batch summary, conversions and logical operations.


Totalizers — Perform common calculations such as totals, averages, minimum and maximum values, and standard deviations. Totalizers are practical for totaling measurements or other process variables such as end of day yields at the end of specific periods.


PI Real-Time SQC — Use numerical methods to monitor the characteristics of a process and make sure they remain within pre-determined boundaries. When an unacceptable deviation occurs in a process, SQC Alarms alert the appropriate people.


5. Visualization – evolving client tools provide information to a wide variety of users and address the needs of stakeholders in a broad organization. These tools include:

  • PI Vision (formerly known as PI Coresight) – intuitive web-client visualization tool that delivers fast, easy and secure access to all the PI System Data. PI Vision gives users a quick and easy way to share displays and encourages colleagues to collaborate across the enterprise.
  • PI ProcessBook - graphical displays (similar to DCS type screens)
  • PI DataLink - numerical analysis and reporting (within MS Excel)


6. Accessibility – providing data to a wide variety of other systems and IT platforms through OSIsoft's Developer Technologies such as PI Web API, AF SDK, PI OLEDB Enterprise, PI OLEDB Provider, PI JDBC Driver and PI ODBC Driver. These technologies help integrate time series information (data from real-time systems) with other enterprise platforms such as ERP/EAM, reporting tools (BI), desktop productivity and custom applications.


In addition, the PI Integrator for Business Analytics allows you to easily bring the PI System data into Business Intelligence (BI) tools including but not limited to Tableau Tibco Spotfire, QlikView, and Microsoft Power BI for reporting and analytics.