Managed Historian Namespace Property Correlation

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Solution Overview

Problem

Conventional techniques fail to effectively link changes in process data values with the events responsible for these changes in industrial control and automation systems, limiting the ability to optimize continuous processes.

Innovation Solution

A managed historian utilizes a namespace property to correlate process tag values with corresponding events, generating a graphical user interface that overlays event icons atop data value plots, enabling clear visualization of event impacts on process attribute values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If conventional techniques prepend historian name to process tags and stamp events with GUID, then searching for tags and events is enabled, but linkage between changes in process data values and associated events is not provided

Engineering Contradiction:
Improvelinkage information between process data values and eventsVSAvoidsystem complexity for establishing linkage
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent introduces a namespace property as an intermediary element that bridges process tags and events. This namespace property contains a reference to the application server name, enabling indirect linkage between process data values and events without requiring direct complex associations. The namespace acts as a mediator that simplifies the relationship establishment while preserving the connection information.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If no correlation mechanism is implemented, then system complexity is reduced, but the ability to understand reasons for data value differences is lost

Engineering Contradiction:
Improveinformation about reasons for data value changesVSAvoidease of visualizing event impacts
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent adds a new dimension to the data presentation by overlaying event icons visually atop the process data plot in the graphical user interface. This spatial dimension allows users to see both the process data trends and associated events simultaneously in the same visual space, making it easy to understand the relationship between events and data value changes without complex operations.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Measurement precision

If detailed event correlation is implemented, then understanding of process changes is improved, but data processing complexity increases

Engineering Contradiction:
Improveprecision of correlating events with data changesVSAvoidcomplexity of correlation processing
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies local quality by making the namespace property inheritance specific and targeted. Instead of implementing a global complex correlation system, the solution locally adds namespace properties to individual process tags and events that inherit from their respective application servers. This localized approach provides precise correlation capability where needed while keeping the overall system simple and avoiding unnecessary complexity elsewhere.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11443467B2Server systems and methods for utilizing a namespace property to correlate process tag values to corresponding events
Publication Date: 2022.09.13 AVEVA SOFTWARE LLC
  • US11443467B2 patent drawing
  • US11443467B2 patent drawing
  • US11443467B2 patent drawing

AI summary

Automated correlation of process attribute value changes with events related to the changes. A managed historian utilizes a namespace property to correlate process tag values with corresponding events. The managed historian generates and provides to remote user devices a graphical user interface that includes a plot of data values of the process tag and a visual icon representing the event overlaid atop the plot of data values.