Automatic identification method for spectrum peak elements of laser-induced breakdown spectrum

Abstract

The invention provides an automatic identification method for spectrum peak elements of a laser-induced breakdown spectrum. The automatic identification method comprises the following steps: acquiringa laser-induced breakdown spectrum to be identified and carrying out continuous background correction on the spectrum; carrying out spectrum fitting and decomposition on the spectrum, which is subjected to the background correction, by utilizing a Voigt function; constructing characteristic parameter vectors of spectrum peak signals to be identified; acquiring spectrum information of all elementsunder the same waveband of the spectrum to be identified according to a standard database, and constructing characteristic parameter vectors of the elements; carrying out similarity analysis on the characteristic parameter vector of each spectrum peak signal to be identified and the characteristic vectors of an element spectrum peak in the standard database respectively; judging that the elementcorresponding to the maximum spectrum peak in the standard database is the element belonging to the spectrum peak to be identified according to the similarity. The automatic identification method provided by the invention can be rapidly and accurately applicable to spectrum peak identification of simple and complicated spectra.

Description

technical field [0001] The invention relates to the field of spectrum technology such as sample composition and content analysis, and specifically relates to an automatic identification method for laser-induced breakdown spectrum peak elements. Background technique [0002] Laser Induced Breakdown Spectroscopy (LIBS) is a spectral analysis technique, which has a wide range of applications in the field of sample composition and content analysis. LIBS technology is an analytical technique that uses laser light to irradiate the surface of the object to be measured to generate plasma to obtain material composition (qualitative analysis) and concentration (quantitative analysis). [0003] Compared with traditional spectral analysis methods, LIBS has the characteristics of real-time, rapid, non-destructive or minimally destructive detection. [0004] LIBS technology analyzes the emission spectra of atoms or ions. Laser-induced breakdown spectra usually contain a large number of c...

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Problems solved by technology

[0006] Due to the influence of material characteristics, experimental equipment and other factors in the nearest neighbor method, the wavelength of the spectral peak in the experimental spectrum will have a certain degree of spectral peak shift compared with the standard database, resulting in poor recognition accuracy of this type of method

The simulated spectrum comparison method, which is a method of comparing and analyzing the spectrum obtained by database simulation with the experimental spectrum, still depends on the judgment of the human eye, which is not only time-consuming and laborious, but also difficult to guarantee the reliability of recognition for more complex spectra.

Most of the correlation analysis methods simply use the spectral intensity near the spectral peak as the feature vector, without considering the waveform structure of the spectral data itself, or the inherent physical relationship between the waveform structure and the sample parameters to be measured, and the correlation coefficient often obtained small (or even negatively correlated), thus rendering the element unrecognizable

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