Light spectrum continuous background removing device, system and method

Abstract

The embodiment of the invention provides a light spectrum continuous background removing device, system and method. The light spectrum continuous background removing device is applied to an LIBS (Laser-induced Breakdown Spectroscopy) system comprising a laser device, a spectrograph and an objective table; the light spectrum continuous background removing device comprises a polarizer; the polarizeris arranged between the objective table and an acquisition head of the spectrograph; a calibration sample set is placed on the objective table; the polarizer is used for separating light spectrums ofdifferent polarization states; the objective table, the polarizer and the acquisition head are collinear. The light spectrum continuous background removing device and system are ingeniously designedand an optimal rotation angle of the polarizer can be selected to filter and remove a continuous background in the light spectrum.

Description

technical field [0001] The invention relates to the technical field of spectral analysis, in particular to a spectral continuous background removal device, system and method. Background technique [0002] In the existing spectral continuous background removal, the commonly used method is generally to use wavelet transform to remove the continuous background. The core idea is that the spectrum is composed of high frequency part (noise), low frequency part (background) and intermediate frequency (independent spectral line Signal) consists of three kinds of frequency information. The core idea of ​​background removal is to remove the low-frequency components in the spectral signal. However, due to the complexity of the laser-induced breakdown spectrum, the spectral signal and the continuous background cannot be simply distinguished by spectrum analysis. Moreover, if the parameters of the wavelet transform to remove the background are not selected properly, it will cause excessi...

AI Technical Summary

Problems solved by technology

However, due to the complexity of the laser-induced breakdown spectrum, the spectral signal and the continuous background cannot be simply distinguished by spectrum analysis. Moreover, if the parameters of the wavelet transform to remove the background are not selected properly, it will cause excessive background subtraction. resulting in greater analytical error

At the same time, due to the complexity of the background removal algorithm, the computer calculation cycle is relatively long. If the algorithm is complex, sometimes it may take several hours to get the result, which brings great inconvenience to the rapid detection of the industrial site.

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