Data-Based Gas Sensor Modeling for Aging and Storage Drift
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional gas sensors, particularly those using organic materials, suffer from storage-induced and aging-induced changes in sensitivity due to environmental factors, leading to inaccurate gas concentration measurements.
Innovation Solution
A method and device utilizing a data-based sensor model to correct gas concentration measurements by considering sensor behavior outside the measurement process, incorporating regression algorithms like Lasso, random forest, Gaussian process, and neural networks, to account for aging and storage-induced changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional gas sensors are used without dynamic correction, then the device complexity is low, but the measurement precision deteriorates due to storage-induced and aging-induced sensitivity changes
Solution Approach 1:
The patent applies dynamics by transitioning from static calibration to dynamic correction. The sensor model continuously adapts to aging and storage-induced changes by incorporating temporal evolution of sensor properties. The system dynamically adjusts concentration calculations based on real-time sensor state observations, making the measurement process responsive to changing sensor characteristics rather than relying on fixed calibration values.
Solution Approach 2:
The patent implements feedback through the data-based sensor model that continuously monitors and incorporates sensor behavior observations. The model uses feedback loops to process sensor signals during and outside measurement processes, adjusting the concentration variable based on observed sensor state changes. This feedback mechanism enables the system to compensate for aging and storage effects by learning from actual sensor performance over time.
2Measurement precision
If static calibration methods are used, then the ease of operation is high, but the measurement precision deteriorates due to inability to account for sensor state changes over time
Solution Approach 1:
The patent applies self-service by enabling the sensor system to automatically compensate for its own aging and storage-induced changes. The data-based sensor model performs self-diagnosis and self-correction by monitoring sensor behavior patterns and adjusting concentration calculations accordingly. This eliminates the need for manual recalibration or external intervention to maintain measurement accuracy, allowing the sensor to service itself through continuous adaptive correction.
3Measurement precision
If sensor behavior outside measurement process is considered, then the measurement precision improves through compensation of storage-induced changes, but the device complexity increases due to additional data processing requirements
Solution Approach 1:
The patent applies preliminary action by collecting and processing sensor behavior data during periods outside the measurement process (heating-up, cooling-down, storage phases). This preliminary data collection and model training occurs before actual concentration measurements are taken. The sensor model is pre-adapted to account for storage-induced and aging-induced changes, so that when measurements occur, the correction calculations can be performed efficiently without requiring complex real-time processing during the actual measurement.
Data Source
AI summary
A method for operating a gas sensor system comprising a gas sensor, in order to provide a concentration variable of a gas concentration of a gas component in a sample gas. The method includes: measuring the gas concentration during a measurement process in order to obtain a temporal evolution of a sensor signal as a function of the gas concentration; determining the concentration variable using a data-based sensor model as a function of the temporal evolution of the sensor signal, the data-based sensor model being trained to take into account a behavior of the sensor outside the measurement process in order to ascertain the concentration variable.