A method and system for online detection of coal quality entering the furnace

By combining microwave tomography and surface spectroscopy, the three-dimensional physical structure and chemical distribution of coal fed into the furnace are reconstructed, solving the problems of detection blind spots and moisture interference in existing technologies, and realizing high-precision coal quality detection and combustion control.

CN121805543BActive Publication Date: 2026-05-26HUNAN HUADIAN PINGJIANG POWER GENERATION CO LTD
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Patent Information

Application Number
CN202610294892.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-03-11
Publication Date
2026-05-26
Estimated Expiration
2046-03-11

AI Technical Summary

Technical Problem

Existing technologies for detecting coal quality in thermal power plants suffer from contradictions: high-penetration detection methods cannot resolve chemical elements, and high-precision spectroscopic methods cannot penetrate deep coal layers. Furthermore, moisture fluctuations affect detection accuracy, leading to blind spots and a lack of representativeness.

Method used

By combining a microwave tomography sensor array with a surface spectrometer, the surface chemical information is constructed by reconstructing the internal physical structure and spectrum through microwaves. Combined with nonlinear physical field inversion and field-spectrum mapping models, the three-dimensional reconstruction of deep coal quality and the deduction of chemical element distribution are realized. The comprehensive coal quality parameters are output using a volume-weighted integral algorithm.

Benefits of technology

Without using a radioactive source, it significantly improves the representativeness and safety of full-section detection of coal entering the furnace, eliminates moisture interference, improves detection accuracy and combustion control accuracy, and achieves a leap from passive detection to active closed-loop control.

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Abstract

This invention relates to the field of coal quality testing technology, specifically to an online method and system for detecting coal quality entering the furnace; it includes: a multimodal data acquisition step: acquiring microwave scattering parameters and surface element characteristic spectra using a microwave tomography sensor array and a surface spectrometer, respectively; a physical field inversion and modeling step: reconstructing the complex permittivity distribution map based on the scattering parameters to establish a three-dimensional physical distribution model including density and moisture; a field-spectrum coupling deduction step: using the characteristic spectra as boundary constraints, and combining them with the complex permittivity distribution map to deduce the internal chemical element distribution; and a volume-weighted quantization step: performing volume-weighted integration on the three-dimensional physical model and chemical distribution to output comprehensive coal quality parameters; this invention eliminates the detection blind spots of single technologies and significantly improves the representativeness and safety of full-section detection of coal entering the furnace.
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