Artificial intelligence algorithm matching method based on hyperspectral big data

A spectral data and artificial intelligence technology, applied in the direction of color/spectral characteristic measurement, calculation, computer parts, etc., can solve the problem of not being able to meet the needs of material detection requirements and reduce the detection cost, and achieve the effect of reducing costs.

Pending Publication Date: 2022-05-13
中科谱光(郑州)应用科学技术研究院有限公司
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AI Technical Summary

Problems solved by technology

[0003] Existing invention patents such as "A Rotating Equipment Monitoring Platform and Monitoring Method Based on Spectral Analysis" and "Quantitative Inversion Method for Hyperspectral Water Quality Parameters Based on Spectral Morphology" only measure the composition of specific substances and cannot meet the requirements Increasing demand for substance detection and cost reduction for multiple substance detection

Method used

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  • Artificial intelligence algorithm matching method based on hyperspectral big data
  • Artificial intelligence algorithm matching method based on hyperspectral big data
  • Artificial intelligence algorithm matching method based on hyperspectral big data

Examples

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Embodiment

[0025] Embodiment: a kind of artificial intelligence algorithm matching method based on hyperspectral big data comprises the following steps:

[0026] Step 1: Pretreatment of the substance to be tested: For example, to test the water quality, take a certain amount of water for the first time and put it into a container with a fixed scale.

[0027] Step 2: Collect water body spectral data: turn on the portable spectrometer to preheat for 10 minutes, then put the portable spectrometer into the container, the water body will rise to a fixed scale due to the insertion of the portable spectrometer, so that the portable spectrometer will take different samples Keep the light source at the same height as the water body, set the spectrum acquisition parameters of the spectral instrument, and record the spectral data of the water body.

[0028] Step 3: Data transmission: upload the original spectral data to the platform data layer through the 4G / 5G communication signal of the portable ...

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Abstract

The invention relates to the technical field of artificial intelligence, and discloses an artificial intelligence algorithm matching method based on hyperspectral big data. According to the method, an algorithm rapid matching layer is arranged, preprocessed spectrum data are transmitted into the algorithm rapid matching layer, the algorithm rapid matching layer carries out rapid matching on the spectrum data through a standard sample spectrum library template matching algorithm, the method comprises the following steps of: 1, establishing a standard sample spectrum library: randomly sampling in a large class, acquiring sample spectrum data by using a spectrograph, and acquiring standard reflectivity white board spectrum information at the same time; performing preprocessing such as de-noising and multiplicative scatter correction on the original spectral data; meanwhile, performing spectral data acquisition, preprocessing and calculation on a to-be-detected substance; in the second step, a rapid matching algorithm is mainly used for comparing and analyzing the spectrum of the to-be-detected substance and the sample spectrum based on a template matching algorithm, and a corresponding algorithm is rapidly matched according to a template matching result to determine the components of the to-be-detected substance.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence algorithm matching method based on hyperspectral big data. Background technique [0002] Under the action of external electromagnetic waves, most substances in nature will undergo corresponding energy level transitions after absorbing energy due to the influence of their own atomic vibrations, electronic transitions, etc., and spectral radiation will occur at certain wavelength positions, including reflection, absorption etc. The material spectral characteristics can be obtained by recording the relationship between the spectral radiation degree of molecules to electromagnetic radiation and the wavelength. Based on the theoretical basis of spectral analysis, through the analysis of the spectral characteristics of the material, the properties and content of the material can be reversed, and the qualitative and quantitative analysis of th...

Claims

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Application Information

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IPC IPC(8): G01N21/31G01N21/01G06K9/62
CPCG01N21/31G01N21/01G06F18/22
Inventor劳从坤王琛茜王峋越刘亚坤周绍辉刘光宗李秀萍
Owner中科谱光(郑州)应用科学技术研究院有限公司