Universal detection method suitable for multi-granularity coal quality

By employing the spectral preprocessing method of Kubelka-Munk transform and Savitzky-Golay second-order derivative, the problem of the diffuse reflectance spectrum of coal samples being affected by physical state was solved, and high-precision quantitative analysis of coal quality with multiple particle sizes was achieved.

CN122171406APending Publication Date: 2026-06-09BEIJING UNIV OF CHEM TECH
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Patent Information

Application Number
CN202610276544.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-09
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In existing technologies, the diffuse reflectance spectrum of coal samples is affected by the physical state of the samples, resulting in low accuracy of quantitative analysis.

Method used

A spectral preprocessing method combining Kubelka-Munk transform and Savitzky-Golay second-order derivative is adopted. By determining the reference wavelength and scattering correction factor, the spectral scattering effect is eliminated, a property analysis model is constructed, and the accuracy of quantitative analysis is improved.

Benefits of technology

It significantly improves the accuracy of quantitative analysis of coal with multiple particle sizes, and is applicable to coal samples of various particle sizes, especially showing high robustness and accuracy on medium particle size sample sets.

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Abstract

The invention discloses a universal detection method suitable for multi-granularity coal quality. Comprising the steps that firstly, a coal quality sample set in a target scene and near infrared diffuse reflection spectrums and test analysis properties corresponding to all coal samples are obtained, and the coal samples in the coal quality sample set are the same in granularity; determining a property analysis model and a reference wavelength according to the near infrared diffuse reflection spectrum and the test analysis property corresponding to each coal sample in the coal sample set; and finally, collecting a near-infrared diffuse reflection spectrum of an unknown coal sample, preprocessing the near-infrared diffuse reflection spectrum in combination with the reference wavelength to obtain a corresponding standardized spectrum, inputting the standardized spectrum into the property analysis model, and outputting the test analysis property of the unknown coal sample by the model. The method provided by the invention is suitable for coal granularity in various to-be-analyzed scenes from ultrafine powder, medium particles and coarse particles to an in-situ rough surface, an in-situ smooth surface and the like, the spectral scattering effect caused by the physical state of the sample can be remarkably eliminated, and the quantitative analysis precision of the coal quality is improved.
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