A method for detecting particle size distribution based on near-infrared spectroscopy

A near-infrared spectroscopy and particle size distribution technology, which is applied in the field of particle size distribution detection based on near-infrared spectroscopy, can solve the problems of secondary crushing of materials, inability to detect materials, and occupation of human resources, and achieve stable performance, good adaptability, and instrument volume. small effect

Active Publication Date: 2022-02-18
山东金璋隆祥智能科技有限责任公司
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Problems solved by technology

[0004] The traditional particle size detection method is mainly based on the screening method. This method is mostly manual screening or mechanical vibration screening. Both of these methods have many disadvantages: secondary crushing of materials; long time consumption; large amount of human resources ; All materials cannot be tested; Online testing cannot be performed without affecting the continuity of the production process

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  • A method for detecting particle size distribution based on near-infrared spectroscopy
  • A method for detecting particle size distribution based on near-infrared spectroscopy

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Embodiment Construction

[0023] In order to make the technical solutions and beneficial effects of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only for understanding the present invention and are not intended to limit In the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] The invention discloses a method for detecting particle size distribution based on near-infrared spectroscopy, comprising:

[0025] Step 1, sample collection and editing, respectively adopt static sampling method to collect near-infrared spectra of I mesh and II mesh;

[0026] Step 2, data preprocessing, including model transfer, sum and difference calculation, shearing, averaging, MSC, SNV, normalizatio...

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Abstract

The invention discloses a method for detecting particle size distribution based on near-infrared spectroscopy, which mainly relates to the technical field of application of analytical chemical instruments, including sample collection and editing, data preprocessing, sample analysis, model correction, equipment installation, sample prediction, and output of prediction results , using chemometrics, if samples have the same composition, then their spectra will also be the same, and vice versa. If we establish the corresponding relationship between the spectrum and the parameters to be measured (called the analysis model), as long as the spectrum of the sample is measured, the required quality parameter data can be obtained quickly through the spectrum and the above corresponding relationship.

Description

technical field [0001] The invention mainly relates to the technical field of application of analytical chemical instruments, in particular to a method for detecting particle size distribution based on near-infrared spectroscopy. Background technique [0002] Near Infrared (NIR) is an electromagnetic wave between visible light (VIS) and mid-infrared light (MIR). The wavelength range of the near-infrared spectral region defined by ASTM is 780-2526nm. It is customary to divide the near-infrared region There are two regions of near-infrared short-wave (780-1100nm) and near-infrared long-wave (1100-2526nm). [0003] The near-infrared spectrum is mainly generated when the molecular vibration transitions from the ground state to a high energy level due to the anharmonic nature of the molecular vibration. frequency absorption. The near-infrared absorption wavelength and intensity of different groups (such as methyl, methylene, benzene ring, etc.) or the same group in different ch...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N15/02
Inventor 邹振民董海平孙茂耿龙飞朱传港
Owner 山东金璋隆祥智能科技有限责任公司
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