Sensor Unit Signal Evaluation with Adaptive Threshold Adjustment
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Solution Overview
Problem
Sensor units with multiple sensors face challenges in maintaining precision and accuracy due to sensor sensitivity drift caused by aging or changes in operating conditions, requiring frequent manual calibration which is labor-intensive and inefficient.
Innovation Solution
A method and device that automatically adjust the threshold value range for sensor units by monitoring sensor values and operating parameters, allowing for continuous calibration and maintaining precision through adaptive learning algorithms or user input, ensuring accurate detection of substances even under changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration is performed frequently to maintain sensor precision, then measurement precision is improved, but operational effort and time loss increase
Solution Approach 1:
The system performs automatic self-calibration by detecting when sensor combinations fall outside threshold ranges and autonomously adjusting threshold value ranges without requiring manual intervention. This self-service mechanism maintains measurement precision while eliminating the time loss associated with manual calibration operations.
Solution Approach 2:
The system continuously monitors sensor value combinations and provides feedback when they deviate from expected ranges. This feedback triggers automatic threshold adjustments, creating a closed-loop system that maintains precision through continuous adaptation rather than periodic manual calibration.
2Measurement precision
If manual calibration is performed frequently to maintain sensor accuracy, then measurement accuracy is improved, but productivity decreases
Solution Approach 1:
The automatic self-calibration system maintains sensor accuracy through autonomous threshold adjustments, eliminating the need for operators to stop production for manual calibration. This preserves productivity while ensuring measurement accuracy through continuous automatic adaptation.
Solution Approach 2:
The system enables continuous operation by automatically maintaining calibration during normal use. The threshold value ranges are continuously adapted based on sensor feedback, ensuring accuracy is maintained without interruption to productive operations.
3Adaptability or versatility
If threshold value ranges are adjusted frequently to adapt to sensor drift, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system uses simple feedback mechanisms that monitor sensor combinations against threshold ranges and automatically adjust when deviations occur. This feedback-based approach provides adaptability to sensor drift through straightforward comparison and adjustment logic rather than complex algorithms.
Solution Approach 2:
The system adapts to sensor drift by changing the threshold value range parameters automatically. This parameter adjustment approach provides adaptability through simple numerical modifications rather than complex system changes, maintaining low device complexity.
Data Source
AI summary
A method for evaluating signals of a sensor unit including at least two sensors. The method includes reading in a first sensor value of a first of the sensors and a second sensor value of a second sensor, the first and second sensor value each representing one parameter of a substance to be measured by the sensors or a linking of the parameters. A threshold value range is read in, which maps a range of combinations of at least the first and second sensor values, which represents the presence or a value of the substance to be measured in surroundings of the first and second sensors. A combination of the read-in first and second sensor values is recognized as being outside the threshold value range. The threshold value range is changed into a changed threshold value range so that the combination is situated within the changed threshold value range.