A method, system, device and medium for quantitatively researching a coal quality firmness coefficient

Abstract

This invention discloses a method, system, equipment, and medium for quantitative research on coal quality robustness coefficient, relating to the field of coal mine safety engineering technology. The method includes: collecting blocky coal samples of different ranks, pre-processing them, and measuring the robustness coefficient using the drop hammer crushing method; obtaining carbon structure-related data through X-ray photoelectron spectroscopy and solid-state nuclear magnetic resonance testing, combined with software analysis; performing linear fitting analysis on the robustness coefficient and carbon structure-related data, calculating the influence weights, and constructing a multiple linear regression equation to achieve quantitative research on the coal quality robustness coefficient. This invention establishes a relationship equation between the robustness coefficient and carbon skeleton structure characteristics based on the microscopic carbon skeleton structural features and robustness coefficient testing and analysis methods of coal, providing a microscopic perspective for the study of coal and gas outburst mechanisms and having practical guiding significance for safe mine production.

Description

Technical Field

[0001] This invention relates to the field of coal mine safety engineering technology, and in particular to a method, system, equipment and medium for quantitative research on coal quality robustness coefficient. Background Technology

[0002] Existing coal quality soundness coefficient ( f The determination relies on physical crushing experiments (such as the falling hammer method) or is based on coal rank ( V daf / Empirical formulas are used to estimate the percentage (%). This type of method has two major limitations: it cannot explain the same coal rank in coal bodies. f Differences in values ​​(such as coals with varying vitrinite content); neglecting the influence of microscopic chemical structure on coal body strength characteristics leads to misjudgments of gas outburst risk. Currently, it is known that coal body strength is related to the carbon skeleton, but a quantitative mapping model between structural parameters and f-values ​​is lacking, hindering the microscopic explanation of outburst mechanisms. Summary of the Invention

[0003] The purpose of this invention is to provide a method, system, equipment and medium for quantitative research on the coal quality robustness coefficient, aiming to solve or improve at least one of the above-mentioned technical problems.

[0004] To achieve the above objectives, the present invention provides the following solution:

[0005] A quantitative research method for coal soundness coefficient includes:

[0006] Lump coal samples of different coal ranks were collected, and after pretreatment, the soundness coefficient of the coal samples was determined by the drop hammer crushing method; the pretreatment included crushing and grinding to 60-80 mesh;

[0007] The collected blocky coal samples were crushed and ground to below 325 mesh, and X-ray photoelectron spectroscopy was used to obtain X-ray photoelectron spectra of different coal samples.

[0008] Based on the X-ray photoelectron spectrum, the peak fitting spectrum of carbon elements was obtained by peak fitting using peak fit software, the existence form of carbon structure in coal and the corresponding carbon chemical bond amplitude characteristics were determined, and the oxygen enrichment index corresponding to different carbon structures of coal samples was calculated.

[0009] Solid-state nuclear magnetic resonance (NMR) testing was performed on coal samples ground to below 325 mesh. The NMR spectrometer settings were adjusted to obtain carbon NMR spectra of different coal samples.

[0010] The carbon NMR spectrum was segmented, and the peak positions and relative contents of aromatic carbon and aliphatic carbon in the coal sample were obtained by peak fitting using peak fit software. The aromaticity rate and aliphatic carbon rate of the coal sample were then calculated.

[0011] A linear fitting analysis was performed on the correlation between the robustness coefficient, the oxygen enrichment index, the aromaticity rate, and the aliphatic carbon rate to calculate the influence weight of the carbon skeleton characteristic parameters of the coal sample on the robustness coefficient of the coal body.

[0012] A multiple linear regression equation is constructed based on the influence weights, and a quantitative study on the coal quality firmness coefficient is conducted based on the multiple linear regression equation.

[0013] Optionally, the pretreatment further includes: vacuum drying for 48 h at a drying temperature of 60 °C.

[0014] Optionally, the X-ray photoelectron spectroscopy test has a test range of 30–400 μm, a step size of 5 μm, and an energy range of 4–100 keV.

[0015] Optionally, the nuclear magnetic resonance spectrometer is configured with a magnetic field strength of 75.05 MHz, a sampling time of 0.05 s, and 1500-3500 scans.

[0016] Optionally, the multiple linear regression equation is specifically expressed as:

[0017] f = k 1 a —k 2 b —k 3 C-O +C C=O / C C-C +C C-H )+b

[0018] in, f Indicates the strength coefficient. k 1 , k 2 and k 3 For each coefficient, f a Indicates the aromaticity rate. f b Indicates the lipid-carbon ratio. b It is a constant. C C-O This indicates the CO carbon structure content in the coal sample. C C=O This indicates the C=O carbon structure content in the coal sample.C C-C This indicates the C / C carbon structure content in the coal sample. C C-H This indicates the CH carbon structure content in the coal sample.

[0019] This invention also provides a quantitative research system for the coal quality soundness coefficient, comprising:

[0020] f The value determination unit is used to collect blocky coal samples of different coal ranks, and after pretreatment, the soundness coefficient of the coal samples is determined by the drop hammer crushing method; the pretreatment includes crushing and grinding to 60-80 mesh;

[0021] The X-ray testing unit is used to crush and grind the collected blocky coal samples to below 325 mesh, and to obtain X-ray photoelectron spectroscopy (XPS) spectra of different coal samples.

[0022] The oxygen enrichment index calculation unit is used to obtain the carbon element peak fitting spectrum based on the X-ray photoelectron energy spectrum using peak fitting software, determine the existence form of carbon structure in coal and the corresponding carbon chemical bond amplitude characteristics, and calculate the oxygen enrichment index corresponding to different carbon structures in the coal sample.

[0023] The nuclear magnetic resonance (NMR) testing unit is used to perform solid-state NMR testing on coal samples ground to below 325 mesh, adjust the settings of the NMR spectrometer, and obtain NMR carbon spectra of different coal samples.

[0024] The aromaticity and aliphatic carbon ratio calculation unit is used to divide the nuclear magnetic resonance carbon spectrum into segments, use peak fit software to obtain the peak positions and relative contents of aromatic carbon and aliphatic carbon in the coal sample, and calculate the aromaticity and aliphatic carbon ratio of the coal sample.

[0025] The linear fitting analysis unit is used to perform linear fitting analysis on the correlation between the robustness coefficient value, the oxygen enrichment index, the aromaticity rate and the aliphatic carbon rate, and to calculate the influence weight of the carbon skeleton characteristic parameters of the coal sample on the robustness coefficient of the coal body.

[0026] The linear regression analysis unit is used to construct a multiple linear regression equation based on the influence weights, and to conduct a quantitative study on the coal quality soundness coefficient based on the multiple linear regression equation.

[0027] The present invention also provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to perform the quantitative research method for coal quality soundness coefficient described above.

[0028] The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for quantitatively studying the coal quality robustness coefficient as described above.

[0029] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0030] This invention discloses a method, system, equipment, and medium for quantitatively studying the coal quality robustness coefficient. The method includes collecting blocky coal samples of different coal ranks, first crushing and grinding them to 60-80 mesh, then measuring the robustness coefficient value using a drop hammer crushing method; next, crushing and grinding the coal samples to below 325 mesh, and then performing X-ray photoelectron spectroscopy (XPS) and peak fitting using Peak Fit software to determine the carbon structure morphology, amplitude characteristics, and calculate the oxygen enrichment index; followed by solid-state nuclear magnetic resonance (NMR) testing to calculate the aromaticity and aliphatic carbon content; then performing linear fitting analysis on the robustness coefficient and other parameters to calculate the influence weights; finally, constructing a multiple linear regression equation to conduct quantitative research on the coal quality robustness coefficient. This invention establishes a relationship equation between the robustness coefficient and carbon skeleton structure characteristics based on the microscopic carbon skeleton structure characteristics and robustness coefficient testing and analysis methods of coal, providing a microscopic perspective for the study of coal and gas outburst mechanisms and having practical guiding significance for safe production in mines. Attached Figure Description

[0031] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0032] Figure 1 This is a flowchart illustrating the quantitative research method for the coal quality robustness coefficient of the present invention.

[0033] Figure 2 This is the X-ray photoelectron spectrum of anthracite in this embodiment;

[0034] Figure 3 This is the X-ray photoelectron spectrum of bituminous coal in this embodiment;

[0035] Figure 4 This is the X-ray photoelectron spectrum of lignite in this embodiment;

[0036] Figure 5 This is a schematic diagram showing the morphology of carbon structure in anthracite in this embodiment;

[0037] Figure 6 This is a schematic diagram showing the morphology of carbon structure in bituminous coal in this embodiment;

[0038] Figure 7 This is a schematic diagram showing the morphology of carbon structure in lignite in this embodiment;

[0039] Figure 8 This is the carbon NMR spectrum of anthracite in this embodiment;

[0040] Figure 9 This is the carbon NMR spectrum of bituminous coal in this embodiment;

[0041] Figure 10 This is the carbon NMR spectrum of lignite in this embodiment;

[0042] Figure 11 This is a schematic diagram of the anthracite fitting curve obtained by peak fitting using peak fit software in this embodiment;

[0043] Figure 12 This is a schematic diagram of the bituminous coal fitting curve obtained by peak fitting using Peak Fit software in this embodiment;

[0044] Figure 13 This is a schematic diagram of the lignite fitting curve obtained by peak fitting using peak fit software in this embodiment; Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] The purpose of this invention is to provide a method, system, equipment and medium for quantitative research on the coal quality robustness coefficient, aiming to solve or improve at least one of the above-mentioned technical problems.

[0047] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] like Figure 1 As shown, this invention provides a method for quantitatively studying the coal quality robustness coefficient, comprising:

[0049] a. Collect lump coal samples of different coal ranks (lignite, bituminous coal, anthracite), crush and grind them to 60-80 mesh, and vacuum dry them for 48 h at a drying temperature of 60 ℃; take samples for analysis using the falling hammer crushing method. f Values ​​and record the data.

[0050] b. Crush and grind the coal samples collected in step a to below 325 mesh, and use X-ray photoelectron spectroscopy to test them. The test range is 30-400 μm, the step size is 5 μm, and the energy range is 4-100 keV to obtain X-ray photoelectron spectra (XPS) of different coal samples.

[0051] c. Using Peak Fit software, peak fitting spectra of carbon elements were obtained to clarify the existing forms of carbon structures in coal (CC, CH, CO, C=O). Based on the amplitude characteristics of different types of carbon chemical bonds, peaks with binding energies around 535 eV were assigned to aromatic carbons (CC, CH), and peaks with binding energies around 285 eV and 532 eV were assigned to carbonyl groups (CO, C=O). The corresponding contents of different carbon structures (CC, CH, CO, C=O) in the coal sample were calculated. C C-O , C C=O , C C-C , C C-H ), to obtain the oxygen enrichment index ( C C-O +C C=O / C C-C +C C-H ratio).

[0052] d. Solid-state nuclear magnetic resonance (NMR) testing was performed on the ground coal samples from step b. The magnetic field strength of the NMR spectrometer was adjusted to 75.05 MHz, the sampling time to 0.05 s, and 1500-3500 scans were performed to obtain carbon NMR spectra of different coal samples. 13 C-NMR).

[0053] The solid-state NMR carbon spectrum of coal can be divided into three segments: ① the 0-75 nm band represents the aliphatic carbon region; ② the 100-160 nm band represents the aromatic carbon region; and ③ the 210 nm band represents the carbonyl carbon region. Peak fitting software was used to obtain the peak positions and relative contents of aromatic and aliphatic carbons in the coal sample, thereby calculating the aromaticity of the coal. f a Carbonate ratio f b .

[0054] g. The oxygen saturation index ( C C-O +C C=O / C C-C +C C-H Ratio), Aromaticityf a Carbonate ratio f b With the coal body firmness coefficient ( f Linear fitting analysis was performed on the correlation between the carbon skeleton characteristic parameters of the coal sample and the coal body firmness coefficient. f The influence weight of ).

[0055] h. Based on the calculated weights, establish a multiple linear regression equation:

[0056] f = k 1 a —k 2 b —k 3 C-O +C C=O / C C-C +C C-H )+b

[0057] Where: coefficient k 1 —k 3 and constants b Calibrated using measured data. In this formula: f a A higher coefficient indicates a higher aromatic carbon content in the coal, suggesting an enhanced rigid carbon skeleton and a stronger robustness coefficient. f (larger) f b A larger value indicates a longer adipose chain in the coal body. Longer adipose chains promote plastic deformation of the coal body, resulting in a higher strength coefficient. f The smaller the value, the lower the oxygen abundance index. (C C-O +C C=O / C C-C +C C-H ) A higher coefficient of oxygen in the coal seam indicates a higher oxygen content, which weakens the bond strength and reduces the robustness coefficient. f The smaller the value.

[0058] As a specific implementation method, the following specific experiments were conducted using Shanxi anthracite, Shaanxi bituminous coal, and Inner Mongolia lignite as examples.

[0059] a. Collect block samples of anthracite from Shanxi, bituminous coal from Shaanxi, and lignite from Inner Mongolia. Crush and grind these samples to 60-80 mesh, then vacuum dry for 48 h at 60 ℃. Take samples for analysis using the falling hammer crushing method. f The values ​​were recorded as 1.3, 0.9, and 0.5.

[0060] b. Crush and grind the coal samples collected in step a to below 325 mesh, and perform X-ray photoelectron spectroscopy (XPS) analysis. The test range is 30–400 μm, the step size is 5 μm, and the energy range is 4–100 keV. Obtain the XPS spectra of different coal samples (e.g., Figures 2-4 (As shown).

[0061] c. Using peak fit software, obtain the carbon element peak fitting spectrum to clarify the existence forms of carbon structure in the three types of coal (CC, CH, CO, C=O) (e.g. Figures 5-7 (As shown). The corresponding contents of different carbon structures (CC, CH, CO, C=O) in the coal sample were calculated. C C-O , C C=O , C C-C , C C-H ), to obtain the oxygen enrichment index ( C C-O +C C=O / C C-C +C C-H (Ratios) (as shown in Table 1).

[0062] Table 1

[0063]

[0064] d. Solid-state nuclear magnetic resonance (NMR) testing was performed on the ground coal samples from step b. The magnetic field strength of the NMR spectrometer was adjusted to 75.05 MHz, the sampling time to 0.05 s, and 1500-3500 scans were performed to obtain carbon NMR spectra of different coal samples. 13 C-NMR), such as Figures 8-10 As shown.

[0065] The solid-state NMR carbon spectrum of coal can be divided into three segments: ① 0–75 nm is the aliphatic carbon region; ② 100–160 nm is the aromatic carbon region; ③ 210 nm is the carbonyl carbon region. Peak fitting software was used to obtain the peak positions and relative contents of aromatic and aliphatic carbons in the coal sample, thereby calculating the aromaticity of the coal. f a Carbonate ratiof b .like Figures 11-13 As shown.

[0066] g. The oxygen saturation index ( C C-O +C C=O / C C-C +C C-H Ratio), Aromaticity f a Carbonate ratio f b With the coal body firmness coefficient ( f Linear fitting analysis was performed on the correlation between the carbon skeleton characteristic parameters of the coal sample and the coal body firmness coefficient. f The influence weights of ) are shown in Table 3.

[0067] Table 3

[0068]

[0069] h. Based on the calculated weights, establish a multiple linear regression equation:

[0070] f = 3.55 a +18.55 b － 25 C-O +C C=O / C C-C +C C-H )+ 0.03

[0071] In this formula: f a The larger the value, the higher the aromatic carbon content of the coal body and the stronger the robustness coefficient. f (larger) f b A larger value means a longer aliphatic chain in the coal body, resulting in a higher robustness coefficient. f The smaller the value, the lower the oxygen abundance index. (C C-O +C C=O / C C-C +C C-H ) The higher the coefficient of durability ( f The smaller the value.

[0072] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0073] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for quantitatively studying the coal quality soundness coefficient, characterized in that, include: Lump coal samples of different coal ranks were collected, and after pretreatment, the soundness coefficient of the coal samples was determined by the drop hammer crushing method; the pretreatment included crushing and grinding to 60-80 mesh; The collected blocky coal samples were crushed and ground to below 325 mesh, and X-ray photoelectron spectroscopy was used to obtain X-ray photoelectron spectra of different coal samples. Based on the X-ray photoelectron spectroscopy, peak fitting of carbon elements was obtained using peak fit software to determine the existing forms of carbon structure in coal and the corresponding carbon chemical bond amplitude characteristics. The oxygen enrichment index corresponding to different carbon structures in the coal sample was also calculated. C C-O +C C=O ) / ( C C-C +C C-H ); Solid-state nuclear magnetic resonance (NMR) testing was performed on coal samples ground to below 325 mesh. The NMR spectrometer settings were adjusted to obtain carbon NMR spectra of different coal samples. The carbon NMR spectrum was segmented, and the peak positions and relative contents of aromatic carbon and aliphatic carbon in the coal sample were obtained by peak fitting using peak fit software. The aromaticity rate and aliphatic carbon rate of the coal sample were then calculated. A linear fitting analysis was performed on the correlation between the robustness coefficient, the oxygen enrichment index, the aromaticity rate, and the aliphatic carbon rate to calculate the influence weight of the carbon skeleton characteristic parameters of the coal sample on the robustness coefficient of the coal body. A multiple linear regression equation is constructed based on the influence weights, and a quantitative study of the coal quality soundness coefficient is conducted based on the multiple linear regression equation. The multiple linear regression equation is specifically expressed as follows: in, f Indicates the strength coefficient. k 1 , k 2 and k 3 For each coefficient, f a Indicates the aromaticity rate, f b Indicates lipid-carbon ratio, b It is a constant. C C-O This indicates the CO carbon structure content in the coal sample. C C=O This indicates the C=O carbon structure content in the coal sample. C C-C This indicates the C+C carbon structure content in the coal sample. C C-H This indicates the CH carbon structure content in the coal sample.

2. The method for quantitatively studying the coal quality soundness coefficient according to claim 1, characterized in that, The pretreatment also includes: vacuum drying for 48 h at a drying temperature of 60 °C.

3. The method for quantitatively studying the coal quality soundness coefficient according to claim 1, characterized in that, The X-ray photoelectron spectroscopy test has a test range of 30–400 μm, a step size of 5 μm, and an energy range of 4–100 keV.

4. The method for quantitatively studying the coal quality soundness coefficient according to claim 1, characterized in that, The nuclear magnetic resonance spectrometer is configured with the following settings: magnetic field strength of 75.05 MHz, sampling time of 0.05 s, and 1500-3500 scans.

5. A quantitative research system for coal soundness coefficient, characterized in that, include: f The value determination unit is used to collect blocky coal samples of different coal ranks, and after pretreatment, the soundness coefficient value of the coal sample is determined by the drop hammer crushing method; the pretreatment includes crushing and grinding to 60-80 mesh; The X-ray testing unit is used to crush and grind the collected blocky coal samples to below 325 mesh, and to obtain X-ray photoelectron spectroscopy (XPS) spectra of different coal samples. The oxygen enrichment index calculation unit is used to obtain the carbon element peak fitting spectrum based on the X-ray photoelectron energy spectrum using peak fitting software, determine the existence form of carbon structure in coal and the corresponding carbon chemical bond amplitude characteristics, and calculate the oxygen enrichment index corresponding to different carbon structures in the coal sample: ( C C-O +C C=O ) / ( C C-C +C C-H ); The nuclear magnetic resonance (NMR) testing unit is used to perform solid-state NMR testing on coal samples ground to below 325 mesh, adjust the settings of the NMR spectrometer, and obtain NMR carbon spectra of different coal samples. The aromaticity and aliphatic carbon ratio calculation unit is used to divide the nuclear magnetic resonance carbon spectrum into segments, use peakfit software to obtain the peak positions and relative contents of aromatic carbon and aliphatic carbon in the coal sample, and calculate the aromaticity and aliphatic carbon ratio of the coal sample. The linear fitting analysis unit is used to perform linear fitting analysis on the correlation between the robustness coefficient value, the oxygen enrichment index, the aromaticity rate and the lipid carbon rate, and to calculate the influence weight of the carbon skeleton characteristic parameters of the coal sample on the robustness coefficient of the coal body. The linear regression analysis unit is used to construct a multiple linear regression equation based on the influence weights, and to conduct a quantitative study on the coal quality soundness coefficient based on the multiple linear regression equation. The multiple linear regression equation is specifically expressed as follows: in, f Indicates the strength coefficient. k 1 , k 2 and k 3 For each coefficient, f a Indicates the aromaticity rate, f b Indicates lipid-carbon ratio, b It is a constant. C C-O This indicates the CO carbon structure content in the coal sample. C C=O This indicates the C=O carbon structure content in the coal sample. C C-C This indicates the C+C carbon structure content in the coal sample. C C-H This indicates the CH carbon structure content in the coal sample.

6. An electronic device, characterized in that, It includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to cause the electronic device to perform the quantitative research method for the coal quality robustness coefficient according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the quantitative research method for the coal quality robustness coefficient as described in any one of claims 1-4.

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