Method for improving classification precision of laser probe by utilizing spectral characteristic expansion

Abstract

The invention belongs to the related technical field of laser probe element analysis, and discloses a method for improving the classification precision of a laser probe by utilizing spectral characteristic expansion. The method comprises the following steps: S1, collecting a plasma spectrum by utilizing a laser probe spectrum collection device; S2, averaging the plasma spectrum, and selecting an analysis line and corresponding start and stop wavelengths in the obtained flat spectrum; S3, extracting spectral intensity, spectral peak area, spectral peak full width at half maximum, spectral peakstandard deviation, spectral peak signal-to-noise ratio and spectral peak signal-to-noise ratio characteristics from the original spectrum; S4, performing feature expansion on the input feature vectorby utilizing the features to obtain an expanded mixed spectrum feature vector; S5, training the expanded mixed spectral features in combination with a classification algorithm to obtain a classification model based on the mixed spectral features; and S6, inputting the mixed spectral characteristics of a test set into the classification model, and outputting a classification result by the classification model to finish classification. According to the method, traditional spectral feature vectors taking the spectral intensity as main components are effectively expanded, and the characterizationcapability and the classification accuracy of the spectral feature vectors are improved.

Description

technical field [0001] The invention belongs to the technical field related to laser probe elemental analysis, and more specifically relates to a method for improving the classification accuracy of laser probes by using the expansion of spectral features. Background technique [0002] Laser probe technology, also known as laser-induced breakdown spectroscopy (LIBS) or LIBS technology for short, is a type of atomic emission spectroscopy, which generally uses high-energy-density pulsed laser ablation of samples to generate plasma The qualitative and quantitative analysis of the type and content of elements in the sample can be realized by analyzing the plasma spectrum. At present, laser probe technology has been widely used in Mars exploration, environmental pollution detection, metallurgical analysis, and rock and ore surveying. [0003] When using laser probe technology for qualitative analysis, it is generally realized through the combination of spectral features and machi...

AI Technical Summary

Problems solved by technology

However, none of the above studies can fundamentally change the qualitative or quantitative analysis mode of using a single feature, and the lack of representation ability of a single feature due to the above reasons still has a great impact on the analysis performance

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