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

Substance unmarked detection and identification method based on terahertz waves

An identification method and terahertz technology, applied in measurement devices, material analysis by optical means, instruments, etc., can solve the problems of low detection probability, low signal-to-noise ratio, poor reliability of test results, etc. Signal-to-noise ratio, the effect of reducing interference

Active Publication Date: 2020-11-24
CHINA ELECTRONIS TECH INSTR CO LTD
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above methods have defects such as difficulty in extracting characteristic absorption peaks, low detection probability, low signal-to-noise ratio, and poor reliability of test results, which cannot meet the application requirements of high-precision detection and identification of terahertz substances.

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
  • Substance unmarked detection and identification method based on terahertz waves
  • Substance unmarked detection and identification method based on terahertz waves
  • Substance unmarked detection and identification method based on terahertz waves

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] Embodiment 1 of the present invention provides a terahertz wave-based material marker-free detection and identification method, which acquires reference signals and multiple sets ( Group, ) sample transmission signal, according to the set parameters for the reference signal and multiple groups ( Group, ) sample transmission signal is discretely sampled, and the terahertz absorption spectrum of the sample to be tested is extracted according to the sampled reference signal and transmission signal, and compared with the terahertz fingerprint database to realize the identification of the sample to be tested. Specifically include the following steps:

[0071] (1) Calibrate the terahertz substance detection system. The terahertz substance detection system involved includes a terahertz signal generation unit, a sample chamber, a terahertz detection unit, a terahertz signal acquisition unit, and a terahertz signal processing unit. Initialization: including setting key pa...

Embodiment 2

[0111] Such as figure 2 As shown, Embodiment 2 of the present invention provides a terahertz substance marker-free detection and recognition algorithm, including the following steps:

[0112] (1) Calibrate the terahertz substance detection system. The terahertz substance detection system involved includes a terahertz signal generation unit, a sample chamber, a terahertz detection unit, a terahertz signal acquisition unit, and a terahertz signal processing unit. Initialization: including setting key parameters such as terahertz transmission signal power, starting frequency, sampling period, and acquisition time;

[0113] (2) The terahertz signal generation unit continuously emits terahertz signals;

[0114] (3) The terahertz detector receives the reference signal and multiple groups ( Group, ) sample transmission signal;

[0115] (4) The terahertz signal acquisition unit discretely samples the terahertz signal according to the set parameters and sends it to the server; ...

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 provides a substance unmarked detection and identification method based on terahertz waves, and belongs to the technical field of substance detection, and the method comprises the steps:obtaining a reference signal and a plurality of groups of sample transmission signals, carrying out the discrete sampling of the reference signal and the plurality of groups of sample transmission signals, processing the reference signal, and obtaining the terahertz frequency spectrum of the reference signal; processing the transmission signal to obtain a terahertz frequency spectrum of the transmission signal; and comparing the terahertz frequency spectrum of the reference signal with the terahertz frequency spectrum of the transmission signal to obtain a terahertz absorption spectrum of thesample, and comparing the terahertz absorption spectrum with a terahertz fingerprint spectrum database to realize identification of the to-be-detected sample. According to the invention, the interference of Gaussian noise on signals is reduced, and sample terahertz characteristic spectrum detection identification is realized; compared with a traditional algorithm, characteristic absorption peaksare convenient to extract, the detection probability is high, the signal-to-noise ratio is high, the terahertz characteristic spectrum of the sample is extracted, sample detection and recognition areachieved through comparison of a terahertz fingerprint spectrum database, and the sample detection probability is superior to 90% and higher than the detection probability of the traditional algorithm.

Description

technical field [0001] The invention relates to the technical field of substance detection, in particular to a terahertz wave-based method for detecting and identifying substances without a mark. Background technique [0002] Terahertz waves are electromagnetic radiation between radio waves and light waves with a frequency range of 0.1THz to 10THz and a wavelength range of 30μm to 3mm. Photon energy, strong penetrability, high safety, good orientation, high bandwidth and other characteristics have great application value in national defense, homeland security, astronomy, medical, biology, computer, communication and other scientific fields. [0003] Most substances in nature have obvious responses in the terahertz frequency band, such as the vibration and rotational energy levels of many biological macromolecules, and the phonon vibration energy levels of semiconductors and superconducting materials are all in the terahertz frequency band; Polar materials have very strong p...

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): G01N21/3586
CPCG01N21/3586
Inventor 梁晓林邓建钦年夫顺姜万顺朱伟峰
Owner CHINA ELECTRONIS TECH INSTR CO LTD
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