Ultraviolet Raman spectrum detection device based on double-probe sampling and self-adaptive machine learning

A machine learning and spectral detection technology, applied in the field of optical detection and optics, can solve problems such as instability and inaccuracy of analysis results, and achieve the effect of a fast and effective method

Pending Publication Date: 2020-11-03
THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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Problems solved by technology

These sources of interference will bring inaccuracy and instability to subsequent analysis results

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  • Ultraviolet Raman spectrum detection device based on double-probe sampling and self-adaptive machine learning

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Embodiment Construction

[0027] In order to describe the technical content of the present invention more clearly, further description will be given below in conjunction with specific embodiments.

[0028] The ultraviolet Raman spectroscopy detection device based on dual-probe sampling and adaptive machine learning of the present invention includes:

[0029] The first optical probe contacts the surface of the sample through the laser beam, and collects the Raman signal of the sample, realizes refined detection and analysis, and stores the sample information;

[0030] The second optical probe is a large-aperture long-distance probe, which contacts the sample surface through the laser beam and collects the Raman signal of the sample, complementing the first optical probe to achieve practical and rapid detection and analysis;

[0031] The spectrometer is connected with the first optical probe and the second optical probe through an optical fiber, and is used for receiving the Raman signal of the sample, p...

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Abstract

The invention relates to an ultraviolet Raman spectrum detection device based on double-probe sampling and self-adaptive machine learning, which comprises: a first optical probe which is in contact with the surface of the sample through a laser beam, collects a Raman signal of the sample, realizes refined detection and analysis, and stores sample information into a warehouse; the second optical probe which is in contact with the surface of the sample through a laser beam, collects a Raman signal of the sample and realizes practical rapid detection and analysis; and the spectrograph which is connected with the first optical probe and the second optical probe through optical fibers and is used for receiving the Raman signal of the sample, processing the signal and displaying the signal. By adopting the ultraviolet Raman spectrum detection device based on double-probe sampling and self-adaptive machine learning, refined analysis and practical analysis can be respectively carried out on original Raman data acquired by a Raman spectrometer, and automatic and rapid denoising and effective signal identification and classification are realized in combination with a self-adaptive machine learning algorithm.

Description

technical field [0001] The present invention relates to the field of optics, in particular to the field of optical detection technology, in particular to an ultraviolet Raman spectrum detection device based on dual-probe sampling and adaptive machine learning. Background technique [0002] Raman spectroscopy is a technology proposed by Indian scientist Raman in the 1920s. The birth of lasers in the 1960s brought room for development in the application of Raman spectroscopy. Raman spectroscopy has been widely used as an effective detection and analysis method due to its rich material property information, non-destructive testing, and no need for sample preparation. It is an important part of modern material characteristic analysis technology. Early Raman spectrometers were large in size and inconvenient to install, and were mainly used in laboratories. With the continuous advancement of optoelectronics, embedded software and hardware, machine learning algorithms, and Raman s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/65G01N21/01
CPCG01N21/65G01N21/01
Inventor 何蔚成云飞疏天明郑健
Owner THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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