Method and system for sensor configuration
US-2020348134-A1 · Nov 5, 2020 · US
US11740175B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11740175-B2 |
| Application number | US-202117504267-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 18, 2021 |
| Priority date | Oct 19, 2020 |
| Publication date | Aug 29, 2023 |
| Grant date | Aug 29, 2023 |
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In an embodiment a method for compensating a temperature gradient effect for gas concentration sensors includes variating a temperature gradient, measuring a variation of gas concentration depending on the variation of the temperature gradient, analysing a dependence of the gas concentration and the temperature gradient for setting up an error correction function and applying the error correction function to correct measured values of the gas concentration.
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What is claimed is: 1. A method for compensating a temperature gradient effect for gas concentration sensors, the method comprising: variating a temperature gradient; measuring a variation of gas concentration depending on the variation of the temperature gradient; analysing a dependence of the gas concentration and the temperature gradient for setting up an error correction function; and applying the error correction function to correct measured values of the gas concentration. 2. The method of claim 1 , wherein the error correction function is a linear function. 3. The method of claim 1 , wherein the dependence of the gas concentration and the temperature gradient is analysed by a neuronal network. 4. A device comprising: a sensor configured to measure gas concentrations; and an analysing unit configured to: analyse a dependence of a gas concentration on a temperature gradient during calibration of the sensor in order to set up an error correction function; and apply the error correction function to measured values of the gas concentration after the calibration is completed, wherein the device is configured to measure the gas concentrations independent of the temperature gradient. 5. The device of claim 4 , wherein the analysing unit comprises a neuronal network configured to analyse the dependence of the gas concentration on the temperature gradient.
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