Sensor Correction Value Approximation Course Segmentation
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Solution Overview
Problem
Sensors often experience corruption of measuring values due to manufacturing, environmental, and operational effects, leading to complex corrections that are difficult to determine, especially when sensors are exposed to influences like magnetic fields, making it challenging to establish accurate correction values for improving measurement precision.
Innovation Solution
A method for determining a parameter-dependent correction value approximation course, section by section, using an initial correction value and coefficient, where the correction value course is divided into adjacent partial sections based on parameter ranges, allowing for continuous adjustment and compensation of measuring signals, even in unshielded environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correction values are determined for the entire parameter range using traditional methods, then measurement precision is improved, but the complexity of calibration and manufacturing increases significantly
Solution Approach 1:
The parameter range is divided into multiple partial ranges, with each range having its own correction value determination. Instead of determining correction values for the entire parameter range at once, the method segments the calibration process into manageable sections, reducing overall complexity while maintaining precision across the full range.
Solution Approach 2:
Different correction approaches are applied to different parts of the parameter range. The method uses initial correction values and parameter coefficients for some sections while determining additional correction values only where needed (at boundary points), allowing localized optimization rather than uniform complex calibration across all parameters.
2Measurement precision
If correction values are determined for all parameter ranges, then measurement accuracy is improved, but manufacturing time and cost increase
Solution Approach 1:
The method determines correction values partially - only for specific partial ranges and boundary points rather than for the entire parameter range. This partial action approach maintains sufficient measurement accuracy while significantly reducing the time and resources required for calibration during manufacturing.
Solution Approach 2:
Initial correction values and parameter coefficients are determined in advance for the entire parameter range, providing a baseline correction. Additional correction values are then determined only where needed at boundary points, combining preliminary comprehensive correction with targeted supplementary correction to optimize manufacturing efficiency.
3Measurement precision
If complex correction methods are used to account for all environmental effects, then measurement precision is improved, but the ease of operation and calibration is reduced
Solution Approach 1:
The calibration process is segmented into determining initial correction values/coefficients for partial ranges and then determining additional correction values only at boundary points. This segmentation makes the calibration process more manageable and easier to operate while maintaining precision through targeted corrections at critical transition points.
4Measurement precision
If continuous correction value determination across the entire parameter range is performed, then measurement precision is improved, but the quantity of data and processing requirements increase
Solution Approach 1:
The parameter range is segmented into partial ranges, with correction values determined only at specific points (initial values and boundary points) rather than continuously across the entire range. This reduces the quantity of correction data that must be stored and processed while maintaining precision through strategic placement of correction points.
Data Source
AI summary
An embodiment of a method for a determination, section after section, of a parameter-dependent correction value approximation course includes determining a first measurement signal value with a first parameter value associated with a sensor arrangement when the first parameter value fullfils a predetermined condition or a trigger condition is fulfilled, changing the first parameter value to obtain a second parameter value, determining a second signal value with the second parameter value and determining a second partial section of the correction value approximation course for a second parameter range based on a functional connection describing the second partial section, the first parameter value, the second parameter value, the first measurement signal value, the second measurement signal value and an initial correction value.