MR/VR Process Visualization for Chemical Parameter Deviations
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Solution Overview
Problem
Current visualization systems for chemical product processing lack effective means to provide users with actionable insights into processing parameter deviations, making it difficult to optimize quality and detect potential issues in real-time, especially in complex chemical production environments.
Innovation Solution
A visualization system utilizing a communication interface, profiling module, and user interface to communicate processing unit parameters, provide deviation values from reference profiles, and visualize this information in mixed or virtual reality, allowing users to take timely corrective actions and optimize chemical product quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If deviation values are provided for all processing parameters, then complete information about processing deviations is available, but information overload makes it difficult for users to identify dominant deviations quickly
Solution Approach 1:
The patent extracts only the dominant deviation values from the complete set of processing parameters and presents them to the user. The selection unit identifies which parameters have the most significant impact on product quality and extracts only those for display, filtering out less critical information while preserving essential quality-related deviations.
Solution Approach 2:
Different levels of information detail are provided based on user needs and context. The system provides comprehensive deviation data when needed for analysis but presents simplified, dominant deviations during normal operation. This local quality approach allows the interface to adapt between detailed and summary views.
2Reliability
If immediate feedback on processing parameter deviations is provided, then quality optimization is improved, but system complexity increases
Solution Approach 1:
The system implements immediate feedback by continuously monitoring processing parameters, comparing them against reference values, and displaying deviation information in real-time through the visualization interface. This closed-loop feedback enables operators to quickly identify and correct quality issues.
Solution Approach 2:
The patent introduces an intermediary processing layer that includes a selection unit and presentation unit between the raw sensor data and the user interface. This intermediary layer simplifies the data flow by pre-processing and filtering information before presentation, reducing the complexity burden on the overall system.
3Loss of information
If all processing parameter values are displayed, then complete processing information is available, but it becomes difficult for users to quickly identify dominant deviations
Solution Approach 1:
The selection unit extracts and prioritizes only the most significant deviation values that have the greatest impact on product quality. By filtering out minor deviations and presenting only dominant ones, the system reduces the time required for operators to identify critical issues while maintaining complete underlying data for reference.
Solution Approach 2:
The information presentation is segmented into different levels: immediate dominant deviations for quick identification, and complete parameter sets available on demand. This segmentation allows operators to quickly address critical issues while having access to comprehensive data when needed for detailed analysis.
Data Source
AI summary
A visualisation system for visualising the processing of a chemical product uses at least two processing units. The visualisation system contains a communication interface, a profiling module, and a user interface. The communication interface is configured for communicating with the processing units to receive a respective value of processing parameters for processing the chemical product. The profiling module is configured for providing a reference profile including a respective reference value for processing parameters for a reference chemical product and for providing a profile for the chemical product. The profile includes a respective deviation value of processing parameters for the chemical product determined based on a difference between the respective value of the processing parameters for processing the chemical product and the respective reference value. The user interface is configured for visualising information about processing the chemical product including the profile in a mixed reality view or a virtual reality view.