Gas Sensor Baseline Calibration Update Method
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Solution Overview
Problem
Spectroscopic gas sensors, such as NDIR sensors, are sensitive to environmental factors and aging, leading to inaccuracies in gas concentration measurements, and existing self-calibration methods like ABC technology do not provide sufficient accuracy for high-precision applications.
Innovation Solution
A method and device that automatically updates the baseline calibration parameter by identifying the minimum measurement value over a predetermined time period, using a mathematical model that accounts for environmental factors and geographical position, to determine an updated baseline calibration parameter, which is stored in memory for use in converting measurement values to calibrated gas concentration values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed baseline calibration is used (ABC technology), then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent transforms the static fixed baseline calibration into a dynamic adaptive calibration system. The control unit continuously updates the baseline calibration parameter based on environmental conditions (temperature, pressure, humidity) and sensor aging characteristics. This dynamic adjustment allows the system to maintain high measurement precision without requiring complex manual calibration procedures, resolving the contradiction between simplicity and accuracy.
Solution Approach 2:
The system implements feedback mechanisms where measurement data is continuously analyzed to detect drift and aging effects. The control unit uses this feedback to automatically adjust the baseline calibration parameter, creating a closed-loop system that maintains accuracy over time. This feedback-driven approach eliminates the need for complex external calibration equipment while preserving measurement precision.
2Measurement precision
If regular manual calibration is performed, then measurement precision is maintained, but loss of time increases
Solution Approach 1:
The patent enables the sensor system to perform self-calibration automatically. The control unit monitors environmental parameters and sensor output, detecting when calibration is needed and executing the calibration process autonomously using stored environmental data and calibration algorithms. This self-service capability eliminates the need for external calibration equipment and manual intervention, maintaining measurement precision while eliminating calibration downtime.
Solution Approach 2:
The system performs preliminary calibration actions by pre-storing environmental parameter data and calibration algorithms in memory. When calibration is needed, the control unit retrieves this pre-prepared data and executes calibration automatically without requiring external equipment or manual setup. This preliminary preparation enables rapid automated calibration, reducing time loss while maintaining accuracy.
3Device complexity
If sensor aging is not compensated, then device complexity is reduced, but reliability deteriorates
Solution Approach 1:
The patent implements dynamic compensation for sensor aging by continuously monitoring measurement drift over time and adjusting the baseline calibration parameter accordingly. The control unit detects aging trends and applies corrective factors to maintain accuracy. This dynamic compensation approach handles sensor degradation without requiring complex predictive maintenance schedules or replacement strategies, preserving reliability while managing complexity.
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 more reliable and accurate gas concentration measurements by dynamically adjusting for environmental changes and sensor aging, improving the long-term accuracy of gas sensors.
Implementation Method 1
Spectroscopic sensors are widely used for gas sensors, which rely on the Beer-Lambert law
Implementation Method 2
A non-dispersive infrared, NDIR, sensor is a commonly used type of a spectroscopic sensor in which a nondispersive element is used to filter out the broadband light into a narrow spectrum suitable to sense a specific gas
Data Source
AI summary
A computer implemented method and a gas sensor device comprising a spectroscopic sensing unit (2), a memory (3) and a control unit (4), is described. The control unit (4) is configured to output calibrated values, which are measures of a concentration of a gas component measured by the spectroscopic sensing unit (2), wherein the calibrated values are determined from measurement values obtained from the spectroscopic sensing unit (2) and a baseline calibration parameter retrieved from the memory (3). The control unit is configured to update the baseline calibration parameter (zero) by identifying the minimum measurement value obtained during a predetermined first time period (14), obtaining a time for the first time period (14), obtaining a model value corresponding to the obtained time, determining an updated baseline calibration parameter based on the minimum measurement value and the model value, and updating the baseline calibration parameter stored in the memory (3).