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System and method for Raman signal identification based on depth machine learning model

A machine learning model, Raman signal technology, applied in the optical detection and optical fields, can solve the problems of inaccuracy and instability of the analysis results, and achieve the effect of fast and effective method and fast denoising.

Pending Publication Date: 2019-01-11
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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  • System and method for Raman signal identification based on depth machine learning model

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Embodiment Construction

[0032] In order to describe the technical content of the present invention more clearly, further description will be given below in conjunction with specific embodiments.

[0033] The system for realizing Raman signal data processing and identification functions based on the deep machine learning model of the present invention includes:

[0034] An optical probe, connected to the spectrometer, is used to receive the laser beam emitted by the spectrometer and make the laser beam contact the surface of the sample, and collect the Raman signal of the sample;

[0035] Described spectrometer comprises:

[0036] A laser, connected to the optical probe, is used to emit a laser beam;

[0037] A processor, connected to the laser, is used to control the processor to process data and control other modules of the processor;

[0038] A signal preprocessing module, connected to the processor, for preprocessing the Raman signal data of the sample;

[0039] The deep machine learning model ...

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Abstract

The invention relates to a Raman signal data processing and identification system based on a depth machine learning model, the system comprising a spectrometer for receiving a Raman signal of a sample; an optical probe is connected with the spectrometer; the spectrometer includes a laser for emitting a laser beam; a processor is configured to control the processor to process data and to control the remaining modules of the processor. A signal pre-processing module is used to pre-process the Raman signal data of the sample. The depth machine learning model data processing module is used for automatically analyzing the Raman signal data of the sample and training the classifier according to the data analysis tool. The sample classification and labeling module is used for classifying and labeling the sample data by the classifier. The display is used to display signal data. The system and the method for processing and identifying the Raman signal data based on the depth machine learning model can realize the automatic and fast denoising of the original Raman data collected by the Raman spectrometer and the intelligent recognition and classification of the effective signals.

Description

technical field [0001] The present invention relates to the field of optics, in particular to the field of optical detection technology, and specifically refers to a system and method for realizing Raman signal data processing and identification functions based on a deep machine learning model. 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. The 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, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00G06N3/02
CPCG06N3/02G06F2218/04G06F2218/12G06F18/24
Inventor 何蔚
Owner THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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