Spectroscopic Blending End Point Detection With Rolling F-Test
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Solution Overview
Problem
Conventional methods for detecting the end point of a blending process based on spectral properties, such as moving F-test and moving block analysis, often result in unreliable and early detection, leading to inefficient and wasteful blending processes.
Innovation Solution
A device that receives spectroscopic data, identifies a pseudo steady state end point, and uses a rolling F-test with dual blocks to generate a statistical detection signal, determining whether the process has reached a steady state without relying on historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional methods (moving F-test, moving block analysis) are used to detect end point, then detection speed is improved, but detection reliability deteriorates resulting in early and inaccurate detection
Solution Approach 1:
The method performs preliminary identification of a pseudo steady state end point before final steady state detection. This preliminary action filters out early transient variations and establishes a baseline for more reliable subsequent detection, preventing premature termination while maintaining efficiency
Solution Approach 2:
The patent introduces a pseudo steady state end point as an intermediary detection stage between the initial unsteady state and the final steady state. This intermediary concept acts as a mediator that separates early transient fluctuations from true steady state conditions, improving detection reliability without significant time penalty
2Device complexity
If conventional methods are used for end point detection, then process monitoring is simplified, but manufacturing precision deteriorates due to premature process termination
Solution Approach 1:
The detection process is segmented into distinct stages: unsteady state identification, pseudo steady state end point detection, and final steady state confirmation. This segmentation allows each stage to be optimized independently, maintaining simplicity while improving precision by preventing premature termination
3Ease of operation
If conventional detection methods are applied, then operational simplicity is maintained, but substance loss increases due to early detection and premature process termination
Solution Approach 1:
The preliminary identification of pseudo steady state end point serves as an early warning system that maintains operational simplicity while preventing material waste. By detecting the transition point before true steady state, the method extends blending just enough to achieve complete homogeneity without unnecessary extension
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides robust and reliable detection of the blending process end point, ensuring accurate completion and reducing waste by avoiding premature termination.
Implementation Method 1
a spectrometer may provide spectroscopic data corresponding to a blend during a blending process
Data Source
AI summary
A device may receive spectroscopic data associated with a dynamic process. The device may identify a pseudo steady state end point based on the spectroscopic data. The pseudo steady state end point may indicate an end of a pseudo steady state associated with the dynamic process. The device may identify a reference block and a test block based on the pseudo steady state end point, and may generate a raw detection signal associated with the reference block and a raw detection signal associated with the test block. The device may generate an averaged statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block, and may determine whether the dynamic process has reached a steady state based on the averaged statistical detection signal.