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US 2020/0064291 A1Published application
Pattern recognition algorithm for identifying and quantifying single and mixed contaminants in air with an array of nanomaterial-based gas sensors
AssigneeAernos, Inc.
InventorsAlexey Varganov, Sundip R. Doshi
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Abstract
A method is described for identifying and quantifying single and mixed contaminants in air by reading nanohybrid gas sensors multivariate output and processing it inside the algorithm. The algorithm analyzes sensor signal in real time and outputs estimated values for concentrations of target gases.
Claims8
A method for the selective detection of a target gas and measuring the concentration values comprising:
- taking resistance values of 8, 16, 32, 64, or 128 channels of nanohybrid gas sensors sampled every 80, 120, 160, or 200 milliseconds;
- filtering out the high frequency noise using the exponential average low pass filter;
- computing the rate of sensor response change;
- and
- evaluating sensor response with respect to other sensor channels including the temperature sensor.
2 more elements
A method for tracking null reference baseline using multiple-channel time series signal from a hybrid nanostructure gas sensor, comprising:
- taking resistance values of multiple channels of nanohybrid gas sensors;
- comparing them against the reference resistance values benchmarked in ambient atmosphere with known concentrations of contributing gases;
- and
- adjusting the starting values for target gas concentrations using the deviations from benchmarked values for at least some of temperature, humidity and multiple channels of nanohybrid gas sensors.
1 more element
Dependencies are inferred from the claim text.