Operating Data Visualization for Fast Critical State Recognition
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Solution Overview
Problem
Conventional methods for viewing operating states of technical systems are complex, making it difficult for users to quickly recognize critical states due to the lack of intuitive representation of operating data.
Innovation Solution
A method for computer-aided processing of operating data that generates a two-dimensional display using a Cartesian coordinate system, where state vectors are represented by pairs of first and second state variables, with bar charts showing occurrence time periods and threshold value deviations, allowing for easy identification of critical states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional traffic light-like color schemes are used to characterize operating states, then the system can represent normal, critical, and unpermitted states, but the viewing complexity increases and critical states cannot be recognized quickly by the user
Solution Approach 1:
The state space is segmented into a two-dimensional Cartesian coordinate system with first and second state variables as axes. This segmentation allows the system to divide complex operating states into manageable quadrants and regions, making it easier to visually identify critical states without overwhelming the user with a single complex display.
Solution Approach 2:
The patent transitions from conventional one-dimensional or hierarchical state representation to a two-dimensional state space display. By plotting first state variables on the x-axis and second state variables on the y-axis, the system creates an intuitive visual map where critical states can be quickly identified through their spatial position, reducing viewing complexity while maintaining reliability.
2Loss of information
If detailed operating data is displayed comprehensively, then complete information is provided, but the user cannot intuitively recognize faulty behavior quickly
Solution Approach 1:
The patent employs color coding in the two-dimensional state space display to indicate different operating conditions. Critical states, faulty behaviors, and normal operations are represented by distinct colors or color intensities, allowing users to instantly recognize problematic states without analyzing detailed numerical data, thus reducing recognition time while preserving information completeness.
Solution Approach 2:
The system pre-defines critical state regions and threshold values in the two-dimensional state space before operation. By establishing these reference frameworks in advance, the system enables real-time automatic comparison of current operating states against predefined critical regions, allowing users to immediately identify faulty behavior without manual analysis, thereby reducing recognition time while maintaining complete information availability.
Data Source
AI summary
A method for the computer-aided processing of operating data relating to a technical system, wherein the operating data have been captured during operation of the technical system in a predefined operating interval and are stored as digital data in a memory is provided. A pair of first state variables and one or more second state variables with corresponding state values of the technical system at the particular operating time are extracted from the operating data by the method. A two-dimensional representation is generated on a display of a user interface by these state variables. Bar charts for different state ranges of the pairs of first state variables are generated in this representation on the basis of the evaluation of a threshold value criterion, wherein the bar charts represent, inter alia, how many states of the technical system within the particular state range can be classified as critical.