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Roshan Soni

Wed Apr 09 2025

Industrial Data Management

Technology

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Associating Attributes with Event Frames in PI System Explorer

In the world of industrial data management, the ability to monitor and analyze specific events efficiently is a powerful tool for generating insights and driving operational improvements. OSIsoft PI System users often rely on Event Frames to capture these critical time periods. However, a common challenge faced by users is the need to associate attributes that are not directly linked to the event triggers, which is especially helpful when additional context or variables are essential for analysis.

Understanding Event Frames

Event Frames serve as containers for time periods of interest within the PI System. They enable users to capture data related to a specific event, such as equipment failures, process excursions, or maintenance activities. By creating Event Frames, you can segment and examine the related data, improving analysis capabilities and supporting decision-making processes.

Leveraging PI System Explorer for Enhanced Data Context

Shojiro’s inquiry touches on a frequent use case: associating an attribute with an Event Frame that isn't directly tied to the start or end trigger conditions. This scenario often arises when users want to leverage additional data points to enhance the context of the event frame analysis.

Here's a step-by-step method to achieve this using PI System Explorer and AFSDK:

  1. Defining Event Frame Generator Analysis:

    • Utilize PI System Explorer to define your Event Frame Generation Analysis. When setting up your analysis, ensure it captures the necessary trigger conditions to create Event Frames as required by your application.
  2. Associating Additional Attributes:

    • Within the Event Frame template, reference the primary elements and their associated attributes you wish to include. Attributes from the main element or even other related elements can be added to enhance the event frame.
    • This association allows you to include additional data streams that provide greater context to each event.
  3. Utilizing AFSDK for Advanced Configuration:

    • If you're comfortable with scripting and need more granular control, the AFSDK provides a robust set of tools to script and automate these associations programmatically.
    • Dive into the AFSDK documentation for advanced configurations, which can also guide you in dynamically attaching attributes based on specific criteria.

Exploring Documentation and Resources

For further exploration, users can consult OSIsoft’s comprehensive documentation, available through the Live Library. This resource provides detailed guidance on event frames, analyses, and the variety of attributes that can be associated with Event Frames.

Conclusion

Associating disparate data attributes with Event Frames can greatly enhance your data analysis and insight generation. By tapping into the configurable nature of PI System Explorer and the flexibility of AFSDK, you can better capture and understand the complex events occurring within your industrial environment. This approach not only enriches the event data but also empowers you to make more informed operational decisions.

This enhanced contextual understanding aids industries in optimizing performance, resolving issues proactively, and ultimately driving efficiency across the board.