Asset Workflow Management for Industrial Configuration Anomaly Correction
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Solution Overview
Problem
In industrial processing facilities, changes to equipment configurations can lead to anomalies in historic operational data, compromising safety and performance, as existing systems fail to identify and correct these changes effectively.
Innovation Solution
A method and system that generate a configuration change summary from new configuration data, process operational workflow files to detect anomalies, and update historic data to align with new configurations, using a summary generation engine and workflow update engine, with manual or auto-upload settings, ensuring safe and efficient operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If configuration changes are made to industrial equipment, then equipment performance and adaptability are improved, but anomalies in historic operational data occur compromising safety and reliability
Solution Approach 1:
The system performs preliminary actions by generating a configuration change summary before fully implementing configuration changes. It proactively identifies potential anomalies in historic operational data that may result from configuration changes, and corrects these anomalies before they compromise safety or reliability. This preliminary detection and correction mechanism ensures that reliability is maintained while allowing configuration adaptability.
2Productivity
If configuration changes are implemented without verification, then productivity is improved, but safety and measurement precision deteriorate
Solution Approach 1:
The system implements a feedback mechanism where configuration changes are tracked and verified against historic operational data. The workflow update engine receives feedback about configuration changes, processes operational workflow files to detect anomalies, and automatically corrects identified issues. This closed-loop feedback system ensures measurement precision and safety are maintained while allowing rapid configuration updates for productivity.
3Measurement precision
If manual verification of configuration changes is performed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs self-service by automatically generating configuration change summaries, processing operational workflow files, detecting anomalies, and correcting issues without requiring manual verification. The workflow update engine autonomously manages the entire process of identifying and correcting anomalies in historic operational data resulting from configuration changes. This automation maintains measurement precision while eliminating time loss associated with manual verification.
Data Source
AI summary
Techniques for asset workflow management are described. In one example implementation, the present subject matter facilitates in managing configuration changes of an asset in an industrial environment and further facilitates identification and managing resultant changes in a configuration data file corresponding to the asset in view of the configuration changes.


