Positive model and inverse model-based quantitative spectrometric analysis and calibration method of multi-component gas

A quantitative analysis and calibration method technology, applied in the field of spectral analysis, can solve the problems of high cost, time-consuming and labor-intensive preparation of mixed gas samples, limitations of spectral quantitative analysis of multi-component gases, etc.

Active Publication Date: 2011-01-19
XI AN JIAOTONG UNIV
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Problems solved by technology

Since the preparation of mixed gas samples is time-consuming, laborious, and costly, making so many samples will bring great troubl

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  • Positive model and inverse model-based quantitative spectrometric analysis and calibration method of multi-component gas
  • Positive model and inverse model-based quantitative spectrometric analysis and calibration method of multi-component gas
  • Positive model and inverse model-based quantitative spectrometric analysis and calibration method of multi-component gas

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Example Embodiment

[0028] For convenience of drawing and description, without loss of generality, the present invention takes methane, ethane and propane three-component gas as an example to illustrate the specific implementation of the present invention. Here, it is assumed that methane and ethane are target gases, and propane is an interfering gas. The output value of the spectrum is the transmittance. The method adopts triangular interpolation method to obtain additional samples, and uses neural network to establish the concentration analysis model of each component gas.

[0029] 1) Sample gas spectrum acquisition

[0030]In this implementation example, the two-component target gas of methane and ethane needs to be analyzed. The interfering gas propane existing in the mixed gas to be analyzed, wherein the methane concentration ranges from 0 to 100%, the ethane concentration ranges from 0 to 5%, and the propane concentration range 0~1%. The single-component gas sample is configured by the fl...

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Abstract

The invention discloses a positive model and inverse model-based quantitative spectrometric analysis and calibration method of a multi-component gas. The method comprises the following steps of: establishing a positive model by taking concentrations of a target gas and an interference gas as input and a spectral line value as output; generating an additional sample by the positive model, wherein the additional sample is obtained by performing calculation by an interpolation method; extracting characteristic variable from a sample set consisting of the manufactured samples and the additional sample so as to form a new sample set; and finally establishing an analysis model of each target gas by a neural network modeling method by taking the characteristic variable as input and the concentration of the target gas as output. The method greatly reduces the number of samples required by the adoption of the conventional black box calibration method during the quantitative spectrometric analysis of the multi-component gas, so that the spectral analysis can be independently applied to the fields related to the quantitative analysis of the multi-component gas, such as gas logging, mine safety, environmental protection, fault diagnosis, product quality detection and the like.

Description

Technical field: [0001] The invention belongs to the field of spectral analysis, and relates to a method for quantitative analysis and calibration of multi-component gas spectrum, in particular to a method for quantitative analysis and calibration of multi-component gas spectrum based on forward and inverse models. Background technique: [0002] The quantitative analysis of gas is a task that needs to be carried out in many fields such as environmental protection, fault diagnosis, safety monitoring, gas logging and exploration. For example, the sulfur dioxide and other components in the factory exhaust gas need to be quantitatively analyzed to determine whether it poses a threat to the environment; the exploration of oil and natural gas is judged by monitoring the content of various alkanes in the layer gas; coal mines also need to monitor mines Gas, acetylene, sulfur hexafluoride and other gases in the oil can be used to judge the safety of the mine; transformer faults can ...

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Application Information

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IPC IPC(8): G01N21/25G06N3/08
Inventor 汤晓君刘君华李玉军朱凌建张钟华
Owner XI AN JIAOTONG UNIV
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