Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Ultraviolet Raman spectrum detection device based on double-probe sampling and self-adaptive machine learning

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com