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A Gas Sensor Baseline Drift Compensation Method for VOC Detection

A gas sensor and baseline drift technology, which is applied to instruments, measuring devices, scientific instruments, etc., can solve the problems of insufficient generalization and inability to apply nonlinear baseline drift, and achieve low cost, high efficiency, and easy to use.

Active Publication Date: 2022-03-08
宝狮子科技(苏州)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the product drift correction method and the multivariate component correction method have good effects on linear baseline drift, and cannot be applied to nonlinear baseline drift; neural network methods require a large number of labeled data samples for training, and there are "local minimum" and general inadequacy problem

Method used

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  • A Gas Sensor Baseline Drift Compensation Method for VOC Detection
  • A Gas Sensor Baseline Drift Compensation Method for VOC Detection
  • A Gas Sensor Baseline Drift Compensation Method for VOC Detection

Examples

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Embodiment

[0056] In conjunction with the present invention, a specific application example is provided: as figure 2 Shown is a typical sensor resistance value output for VOC detection. The sensor is a semiconductor gas sensor modified by gold nanoparticles, which can detect many gases containing toluene, ethylbenzene, xylene, methanol, ethanol, acetone, isopropanol, etc. A variety of different VOC gases are detected, preferably ethylbenzene, ethanol, acetone and isopropanol are the detected VOC gases. In a period of 8 consecutive detection sample signals, the high-purity air is used as the background gas to clean and desorb the VOC after each ventilation, and the initial value (or baseline) of the detection resistance of the sensor has continuously shifted, from the initial value of 294.2 It was reduced to 291.6 at the 8th time, and the drift resistance value reached 120% of the maximum measurement (4th time), which seriously affected the actual use effect.

[0057] Studies have shown...

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Abstract

The invention discloses a gas sensor baseline drift compensation method for VOC detection. The method includes two parts: signal decomposition and data reconstruction. It is decomposed into a series of frequency high and low arrangement intrinsic mode function IMF and a residual term, and the low-frequency slowly changing baseline drift signal will be decomposed into the last few IMFs and residual terms, and then the baseline drift can be screened out by appropriate rules Part of it is discarded, and an accurate and reliable measurement signal can be reconstructed by using the remaining IMF. Compared with the prior art, the method of the present invention decomposes the response signal of the sensor, and then removes the component that causes the drift. It is a non-pattern recognition method, which can be applied to linear and nonlinear baseline drift, and does not require a large number of data samples. Training has the advantages of low cost, high efficiency and easy use.

Description

technical field [0001] The invention relates to a gas sensor baseline drift compensation method for VOC detection, belonging to the field of gas sensor signal processing. Background technique [0002] Since the exhaled breath of the human body contains some endogenous metabolites, the detection and analysis of exhaled volatile organic compounds (Volatile Organic Compounds, VOC) gas has gradually become a new type of auxiliary diagnostic means, in clinical diagnosis and health The field of monitoring has broad application prospects. Selecting endogenous metabolites as biomarkers can reflect the health status of the human body, and has received extensive attention in the early screening and diagnosis of major diseases such as lung cancer, gastric cancer, and senile dementia. At present, the commonly used exhaled gas detection methods include GC-MS, SIFT-MS, FAIMS and gas sensor, etc. However, the three methods of GC-MS, SIFT-MS and FAIMS are high in cost, large in size and co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N27/12G01N27/416
CPCG01N27/12G01N27/127G01N27/4162G01N27/4163
Inventor 冯李航陈伟陈铭
Owner 宝狮子科技(苏州)有限公司
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