Method for identifying affiliations of spectrum lines of elements by laser-induced breakdown spectroscopy

Abstract

The invention discloses a method for identifying affiliations of spectrum lines of elements by laser-induced breakdown spectroscopy. Through selecting the size of a range of a spectrum band to be identified as the size of an analysis window, a local spectrum to be identified in the window is combined with a standard library of emitting spectrum lines of different elements, and the spectrum lines of the elements in the analysis window are accurately identified by local correlation analysis; and then through setting a movement step of the analysis window, the full-spectrum scanning analysis on a measuring spectrum is completed, and thus the affiliations of the spectrum lines of different elements in the measuring spectrum are identified. The method has the characteristics of high identification speed, high accuracy rate, high automation degree and the like, is completely realized in a computer system because of no artificial identification interference factors, and effectively solves the problems of speed and accuracy of identifying the affiliations of the spectrum lines of the elements when data of an existing laser-induced breakdown spectroscopy is processed, and automation degree of identifying the spectrum lines.

Description

technical field [0001] The invention relates to the field of spectral analysis methods, in particular to a laser-induced breakdown spectrum element spectral line attribution identification method. Background technique [0002] Laser-induced breakdown spectroscopy (LIBS) is a new technology for detecting material composition information. It uses laser to excite materials to generate laser plasma, and then uses an appropriate detection system to obtain spectral signals containing material composition information in the plasma. Adopt certain data processing methods to extract material composition information and carry out quantitative concentration inversion. At present, how to accurately and automatically identify the components contained in the intricate and various spectral data, and then extract the spectral lines of different elements is the primary problem in the application of LIBS technology, and it is also the premise of quantitative analysis. [0003] In the process ...

AI Technical Summary

Problems solved by technology

[0004] (1) People often judge the presence or absence of elements by the presence or absence of a certain characteristic spectral line, but lack the consideration of the whole or a certain spectral range, and LIBS plasma has self-absorption phenomenon, some elements (especially traces) Quantity element) spectrum will disappear due to self-absorption effect, it is difficult to achieve accurately;

[0005] (2) In actual analysis, the intensity ratio relationship of each spectral line of a certain element is not necessarily consisten

Images