Metal grade identification method based on laser-induced breakdown spectroscopy

Abstract

The invention relates to a metal grade identification method based on laser-induced breakdown spectroscopy. The method comprises the following specific steps of: 1) acquiring the concentration interval of each grade analysis element in a grade library; 2) expanding the analysis element concentration interval of each grade; 3) according to the new concentration interval range, generating a large number of random samples according to certain distribution; 4) standardizing the concentrations of the random samples; 5) training a grade identification model by using a standardized random sample dataset, and storing the trained grade identification model; 6) acquiring LIBS spectral data of a sample to be detected by using a laser-induced breakdown spectroscopy system; 7) preprocessing the original LIBS spectral data; (8) performing quantitative analysis to obtain the chemical composition element concentration of the sample to be detected; and (9) performing grade identification on the quantitative analysis result in the step (8) by using the trained grade identification model, and outputting an identification result. The method provided by the invention used for identifying the metal grade has the higher accuracy, the better adaptability and the better expandability.

Description

technical field [0001] The invention belongs to the field of spectrum analysis and material composition analysis, and specifically relates to a method for identifying metal grades based on laser-induced breakdown spectroscopy. Background technique [0002] Laser-induced breakdown spectroscopy (LIBS) analysis technology is an atomic emission spectroscopic analysis method that uses laser-induced plasma as a source of evaporation, atomization and excitation, and can achieve qualitative and quantitative analysis of chemical elements in substances . It has the characteristics of no need for sample preparation, direct and fast, and small sample loss. In recent years, it has become a research hotspot in the fields of metallurgical analysis, cultural relics protection, geochemistry, and environmental engineering. Metal grade identification is also one of its main applications. [0003] The metal grade identification process mainly includes three parts: 1) Using LIBS system to obtai...

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Problems solved by technology

[0004] In terms of brand matching, a brand matching method based on fuzzy membership is disclosed in the prior art. In this method, in terms of metal brand identification, first of all, there is no specific correlation between the contents of different elements in the metal, which can be considered With certain degrees of freedom, this asynchronism leads to ambiguity in the measure of the degree of match computed for identification

[0005] However, when using the brand matching method based on fuzzy membership to calculate the matching degree of the metal material to be tested and each brand in a given brand library, this method only takes into account the membership of the various element contents in the metal material to be tested (0- 1), and the grades of metals are generally relatively close, and the difference in the content ranges of various elements between many similar grades is very small. Therefore, when there is a deviation between the quantitative analysis results of the sample to be tested and its true value, There will also be deviations in the degree of membership of various elements for each grade

Moreover, the comprehensive membership degree finally used to determine the matching result of the grade is obtained through weighting, so that the difference in the comprehensive membership degree between each grade is very small, so as long as there is a slight deviation in the quantitative analysis results of the metal sample to be tested, it will Affect the accuracy of matching results

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