Method for detecting total iron content of iron ore based on spectral data

A spectral data, iron ore technology, applied in the computer field, can solve problems such as mercury can not be eliminated, environmental pollution, etc., and achieve the effect of low cost

Active Publication Date: 2018-12-18
NORTHEASTERN UNIV
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Problems solved by technology

However, the mercury used in the determination process cannot be eliminated, which will cause certain pollution to the environment
The instrument analysis method has the advantages of fast detection speed and the ability to eliminate the influence of human subjective factors. However, how to reduce the interference of complex matrix as much as possible and improve the accuracy of instrument detection involves sample pretreatment and optimization of instrument analysis software, which still needs to be further improved.

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  • Method for detecting total iron content of iron ore based on spectral data
  • Method for detecting total iron content of iron ore based on spectral data
  • Method for detecting total iron content of iron ore based on spectral data

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Embodiment Construction

[0053] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0054] Such as figure 1 Shown: the iron ore total iron content detection method based on spectral data in the embodiment of the present invention, comprises the following steps:

[0055] 101. Acquire spectral data of an iron ore sample to be detected, where the spectral data includes m spectral features.

[0056] 102. Input the spectral data into an iron ore classification model to obtain the iron ore type of the iron ore sample to be detected.

[0057] Wherein, the iron ore classification model is established by using spectral data of a plurality of known iron ore samples in advance, the iron ore classification model is an extreme learning machine neural network model, and the iron ore classification model It is used to process the iron ore spectral data inc...

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Abstract

The invention relates to a method for detecting total iron content of iron ore based on spectral data. The method comprises the following steps that spectral data of an iron ore sample to be detectedis acquired, and the spectral data comprises M spectral characteristics; the spectral data is inputted into an iron ore classification model to obtain the iron ore type of the iron ore sample to be detected; and according to the obtained iron ore type, the spectral data is inputted into an iron ore total iron content detection model of the corresponding iron ore type to obtain the iron ore total iron content corresponding to the spectral data. The method for detecting the total iron content of the iron ore based on spectral data has the advantages of high efficiency, low cost and high precision.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a method for detecting total iron content of iron ore based on spectral data. Background technique [0002] Hematite and magnetite are the main types of iron ore, and the iron content in iron ore determines the grade and quality of iron ore. The grade and quality of iron ore are related to the cost and economic benefits of mining ore. Choosing an accurate and simple method for determining the total iron content of iron ore has an important guiding role in mining iron ore and obtaining greater economic benefits. There are mainly chemical analysis methods and instrumental analysis methods for the determination of total iron content in iron ore. The most commonly used chemical analysis method is the classic potassium dichromate titration method, which has high sensitivity and strong applicability, and can accurately and quantitatively observe the size and change of d...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/31G01N21/3563G01N21/359
CPCG01N21/3103G01N21/3563G01N21/359
Inventor 肖冬刘崇敏毛亚纯张颖伟柳小波孙效玉
Owner NORTHEASTERN UNIV
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