Operator Station Visualization Sharing for Collaborative Alarm Analysis
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Solution Overview
Problem
Existing control systems for technical installations do not facilitate efficient collaboration and sharing of dynamic installation images and graphical views between operators, limiting support in complex operations such as anomaly detection and alarm analysis.
Innovation Solution
A control system that allows a first operator to capture and store the current state of their visualization, including inputs, in a memory store, and assign it to a second operator, enabling the sharing and reproduction of these visualizations across multiple operator stations, even if they are not co-located.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If operators manually create and share visualization configurations individually, then each operator can have personalized views, but collaboration efficiency deteriorates due to lack of systematic sharing mechanisms
Solution Approach 1:
The system pre-configures visualization templates with common analysis scenarios (alarm sequences, trend comparisons, installation states) that operators can directly apply. This preliminary preparation eliminates the need for operators to manually create visualizations from scratch, while still allowing personalization through template selection and parameter adjustment, thus resolving the contradiction between personalized views and collaboration efficiency
Solution Approach 2:
The system enables operators to capture screenshots of current visualization states and automatically generate reusable configuration templates. These copied visualizations can be shared across the team and adapted for different scenarios, allowing personalized views to be systematically reused and collaborated upon without manual recreation, thereby improving collaboration efficiency while maintaining adaptability
2Measurement precision
If operators analyze complex installation states individually, then detailed analysis is possible, but time consumption increases due to lack of collaborative support
Solution Approach 1:
The system merges multiple operators' visualization states and analysis results into a shared repository. When an operator encounters a complex installation state, they can access previously analyzed states created by other operators, combining individual detailed analysis capabilities with collective knowledge, thus reducing time consumption while maintaining analysis detail
Solution Approach 2:
The system implements feedback mechanisms where operators can annotate, comment on, and refine shared visualization states. This continuous feedback loop allows detailed analysis to be iteratively improved across the team, with each operator building upon previous analyses, thereby reducing overall time consumption while preserving measurement precision through cumulative refinement
3Adaptability or versatility
If the system stores detailed visualization states for sharing, then collaboration capability improves, but system complexity increases due to storage and management requirements
Solution Approach 1:
The system extracts only the essential configuration parameters and state data needed for visualization sharing, separating critical information from redundant details. This extraction approach enables effective collaboration capability while minimizing storage requirements and system complexity by storing only what is necessary for reproduction and sharing of visualization states
4Adaptability or versatility
If operators need to reproduce visualization states from different time points, then historical analysis capability improves, but data management complexity increases
Solution Approach 1:
The system automatically timestamps and version-controls visualization states as they are created or modified. This preliminary organization of historical data enables operators to retrieve and compare past states without manual tracking, improving historical analysis capability while keeping data management simple through automated metadata generation and structured storage
Data Source
AI summary
A control system for a technical installation, wherein an operator station server transmits visualization information to an operator station client and the operator station client generates a visualization for an operator of the technical installation based on the visualization information, where the control system captures, at at least one first point in time, when instigated by a first operator, a state of the visualization of an installation state generated at this point in time by the first operator station client and stores it in a first memory such that inputs by the first operator are also captured and stored for generating the state of the visualization, and the control system receives from the first operator, via the first operator station client, information about at least one second operator as the receiver for the stored state of the visualization and assigns the state of the visualization to this second operator.