Mineral identification method based on laser-induce breakdown spectroscopy and linear discriminant analysis

Abstract

The invention belongs to the field of geological prospecting and specifically relates to a mineral identification method based on laser-induce breakdown spectroscopy and linear discriminant analysis. The method comprises the following steps: 1) collecting data on the basis of an LIBS (Laser-induced Breakdown Spectroscopy) optical system; 2) adopting a cubic spline interpolation algorithm for correcting various spectrogram wavelengths, thereby causing the collected data be consistent; 3) performing standard normal variable correction on the smoothed spectroscopic data, thereby acquiring a spectrum after the standard normal variable correction; 4) utilizing a linear discriminant analysis method to perform feature extraction and clustering analysis on the spectroscopic data after the standard normal variable correction. According to the method, the quick and accurate analysis and discrimination for a mineral sample can be realized in the manner of collecting a certain quantity of analysis samples for forming a training sample and adopting a statistic mode algorithm for acquiring the inherent space structure information of the sample.

Description

technical field [0001] The invention belongs to the field of geological exploration, in particular to a mineral identification method based on laser-induced breakdown spectroscopy and linear discrimination. Background technique [0002] Traditional mineral identification generally uses methods such as observing the physical properties of minerals (hardness, color, texture, luster, crack direction and characteristics, morphology, magnetism, interaction with hydrochloric acid, etc.) and assisting polarized light to manually identify the optical properties of mineral slices. Detection requires the analyst to have extensive knowledge and experience. At the same time, due to human subjectivity, it is difficult to ensure the accuracy of the recognition results. Therefore, more sophisticated analytical techniques are used to identify fine minerals or minerals with similar physical properties. The main instruments and methods used to obtain the characteristic information of rock a...

AI Technical Summary

Problems solved by technology

These techniques provide unique and useful information, but these techniques require more experienced personnel to operate, some quantitative analysis accuracy is not high or the effect of elemental analysis in large areas is not good, some equipment is expensive, and the pretreatment time is long , which is destructive to the sample

At present, the rapid identification method for minerals is mainly the fingerprint area identification method. This method obtains the qualitative result of the sample by selecting an important peak point or a section of interest. This method needs to accurately determine the fingerprint area. At the same time, the fingerprint area of ​​each mineral sample are not the same, which makes it difficult for the practical method

Images