Gas Sensor Signal Segmentation for Interference Reduction
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Solution Overview
Problem
The presence of molecules other than the target molecule in a gas sample can decrease the analytical accuracy when using sensors for gas analysis, as these additional molecules can affect the signal output, making it difficult to accurately identify and quantify the target molecule.
Innovation Solution
A gas analyzing method that involves obtaining signals from a sensor during specific periods where the target molecule is more readily adsorbed, dividing these periods into sections, selecting specific sections for feature extraction, and using a pre-trained logical model for qualitative or quantitative analysis based on these features to improve accuracy, even in the presence of other molecules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sensor is exposed to a gas sample containing multiple molecules for continuous measurement, then the sensor can detect signals from target molecules, but the presence of other molecules decreases analytical accuracy
Solution Approach 1:
The measurement period is divided into multiple distinct periods (first period with low adsorption, second period with high adsorption, third period with low adsorption). By segmenting the continuous measurement into these discrete temporal phases, the patent isolates the high-adsorption period for accurate target molecule detection while using low-adsorption periods to minimize interference from other molecules, thereby resolving the contradiction between detecting target signals and avoiding interference.
Solution Approach 2:
The patent implements periodic switching between adsorption conditions, creating a cyclic measurement pattern where the sensor alternates between high-adsorption states (for detecting target molecules) and low-adsorption states (for reducing interference). This periodic action allows the system to exploit temporal variations in adsorption behavior to distinguish target molecules from interfering substances, improving analytical accuracy while maintaining continuous monitoring capability.
2Loss of information
If the sensor measures all periods continuously, then complete signal data is obtained, but features from periods with low adsorption reduce analysis accuracy
Solution Approach 1:
The patent extracts and isolates specific features from only the high-adsorption period (second period) for analysis, deliberately excluding features from low-adsorption periods (first and third periods). This extraction approach removes detrimental information that would otherwise dilute the analytical quality, while still maintaining the完整性 of the measurement process by keeping the sensor exposed throughout all periods. The selective extraction of features from optimal measurement windows resolves the contradiction between data completeness and analysis accuracy.
3Adaptability or versatility
If features from the entire measurement period are used for analysis, then comprehensive signal characteristics are captured, but analytical accuracy decreases due to inclusion of low-adsorption period features
Solution Approach 1:
The patent applies local quality by assigning different functional roles to different time periods: the first and third periods serve as reference periods with low adsorption for minimizing interference, while the second period serves as the measurement period with high adsorption for capturing target molecule signals. By giving each period a specific quality characteristic (low or high adsorption) and using only the appropriate period's features for specific analytical purposes, the system achieves both comprehensiveness in understanding signal behavior and precision in target molecule analysis.
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 enhances the accuracy of identifying and quantifying molecules in a gas sample by isolating the effects of the target molecule during periods of high adsorption, reducing the impact of other molecules and improving analytical precision.
Implementation Method 1
a sensor that outputs a signal responsive to molecular adsorption
Data Source
AI summary
A gas analyzing method includes obtaining, dividing, selecting, extracting, and analyzing. In the obtaining, signal is obtained from a sensor exposed to sample gas under a condition where molecules contained in the sample gas is more readily adsorbed to the sensor in a second period than in a first period and a third period in a measurement period for the exposure. In the dividing, each of the second and third periods is divided into divided sections. In the selecting, an extraction section is selected from a part of the divided sections. In the extracting, feature of the signal in the extraction section is extracted. In the analyzing, analysis on the molecules contained in the sample gas is performed based on the extracted feature among features of the signal in the measurement period, and a result of the analysis is outputted.