Dynamic Confidence Interval Adjustment for Position Measurement
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Solution Overview
Problem
Existing position measurement apparatuses face inaccuracies in determining confidence intervals, which are not adaptable to sudden changes in measurement processes, affecting the reliability and safety of industrial applications.
Innovation Solution
A method that estimates a measurement noise signal and performs two variance estimations based on different observation periods, comparing them to determine a final variance value for dynamically adjusting confidence intervals, ensuring adaptive reliability and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predefined confidence intervals are used before operation, then the safety function can be established, but the confidence intervals cannot adapt to sudden changes in the measurement process
Solution Approach 1:
The patent implements dynamic confidence interval adjustment by continuously monitoring measurement noise and updating variance estimates in real-time. The system transitions from static predefined intervals to dynamic intervals that automatically adapt to changing measurement conditions, maintaining both safety and adaptability.
Solution Approach 2:
The patent employs feedback mechanisms where the measured noise signal is fed back into the system to continuously update the variance estimation. This closed-loop approach allows the confidence intervals to self-adjust based on actual measurement behavior, resolving the contradiction between predefined safety and adaptability.
2Device complexity
If a single variance estimation is performed, then the calculation is simple, but the confidence interval cannot distinguish between different measurement conditions
Solution Approach 1:
The patent segments the variance estimation process into multiple independent estimations (first variance estimation and second variance estimation) that operate in parallel. This segmentation allows each estimation to focus on specific aspects of the measurement noise, improving overall precision while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent applies different estimation methods to different aspects of the measurement data. The first variance estimation uses one approach (e.g., based on short-term noise) while the second uses another approach (e.g., based on long-term noise), allowing each to optimize for its specific local quality requirement.
3Measurement precision
If multiple variance estimations are performed to improve accuracy, then the confidence interval becomes more precise, but the calculation time increases
Solution Approach 1:
The patent performs preliminary actions by pre-defining the structure and parameters of multiple variance estimations, allowing them to run in parallel without significant sequential overhead. The estimation framework is prepared in advance, reducing runtime calculation time while maintaining multiple precision pathways.
Solution Approach 2:
The patent merges the results of multiple variance estimations into a unified confidence interval calculation. By combining the first and second variance estimates in a coordinated manner, the system achieves high precision without the full computational burden of completely independent estimations, optimizing the time-accuracy tradeoff.
Data Source
AI summary
The invention relates to a method for operating a position measurement apparatus, wherein the method comprises: a measurement signal being received from the position measurement apparatus; a measurement noise signal being estimated based on the measurement signal; a first variance estimation and a second variance estimation different from the first variance estimation being performed based on the measurement noise signal, wherein the first variance estimation yields a first variance estimated value and the second variance estimation yields a second variance estimated value; a final variance estimated value being determined based on a comparison of the first variance estimated value with the second variance estimated value; and a confidence interval being determined based on the final variance estimated value, wherein the confidence interval is output and is preferably used in a safety function.