Sensor Calibration and Aging Estimation for Measuring Sites
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Solution Overview
Problem
Existing methods for managing sensor lifespan and calibration in analytical measuring sites are inefficient, as they rely on extrapolation and do not account for aging-dependent variables accurately, leading to unpredictable sensor failures and replacements.
Innovation Solution
A method where sensors are calibrated at presettable points, with aging-dependent variables estimated using stored reference data, and sensors are replaced when parameters fall outside a tolerance band, ensuring accurate planning of calibration and replacement activities based on actual data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are calibrated regularly according to prior art methods, then measurement reliability is maintained, but sensor lifespan cannot be accurately predicted and replacement timing is uncertain
Solution Approach 1:
The system performs preliminary calibration actions at presettable intervals and stores reference data before the sensor actually fails. By conducting calibrations in advance and tracking aging-dependent variables over time, the system predicts remaining lifespan and schedules replacement before malfunction occurs, eliminating the uncertainty in replacement timing while maintaining measurement reliability throughout the sensor's operational life
Solution Approach 2:
The system implements feedback by continuously monitoring calibration parameters and aging-dependent variables, comparing them against stored reference data from previous calibrations. This feedback loop enables the system to detect degradation trends, predict when the sensor will exit the tolerance band, and schedule replacement optimally, thus maintaining reliability while precisely determining replacement timing
2Measurement precision
If sensors are replaced frequently to ensure accuracy, then measurement precision is maintained, but operational time is lost due to frequent replacements
Solution Approach 1:
The system dynamically adjusts the calibration and replacement schedule based on actual sensor degradation trends rather than using fixed intervals. By analyzing aging-dependent variables and predicting when the sensor will exit the tolerance band, the system optimizes the balance between maintaining measurement precision and maximizing sensor operational time, replacing sensors only when necessary rather than on arbitrary schedules
Solution Approach 2:
The system monitors changes in calibration parameters and aging-dependent variables over time, using these parameter changes to predict when the sensor will no longer meet accuracy requirements. This enables precise determination of replacement timing, ensuring measurement precision is maintained while extending sensor operational time by avoiding premature replacements
3Loss of time
If calibration data is used to predict sensor lifespan, then replacement planning improves, but accuracy decreases when extrapolating beyond available reference data
Solution Approach 1:
The system prevents inaccurate extrapolation by setting up constraints that limit lifespan predictions to only those time points within the range of available reference data. By proactively defining these boundaries and avoiding extrapolation beyond them, the system maintains high accuracy in lifespan estimation while still providing useful replacement planning information within the validated time frame
Solution Approach 2:
The system creates a reliable model of sensor aging by copying and storing reference data from actual calibration measurements throughout the sensor's life. This empirical model, built from real measurement data rather than theoretical extrapolation, provides accurate lifespan predictions for planning purposes without the inaccuracies associated with extending predictions beyond the measured data range
Data Source
AI summary
A method for operating a measuring site (1), wherein a measured variable is determined by a sensor (5) that can be calibrated and in which an exact as possible planning of activities, to which, for example, calibration or sensor replacement belong, is possible is obtained, in accordance with the method, in that the sensor (5) is calibrated at presettable calibration points in time, that at least one parameter in conjunction with calibration is stored as a part of reference data of the sensor (5) and that at least one aging-dependent variable of a sensor (8, 6) differing from the sensor (5) is estimated based on reference data of the sensor (5).