A method, system and apparatus for coking coal quality evaluation
By combining drying and XRD analysis with the in-situ catalytic index of minerals, the problem of incomplete quality evaluation of coking coal was solved, enabling a comprehensive analysis of coking coal quality and improvement of coke performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-10-12
- Publication Date
- 2026-03-27
AI Technical Summary
Existing methods for evaluating the quality of coking coal are insufficient to comprehensively analyze its quality, resulting in inadequate guidance for coking coal blending and impacting coke performance and blast furnace production efficiency.
A coking coal quality evaluation method is adopted, which determines the mineral composition through drying and XRD analysis, calculates basic physical property parameters and mineral in-situ catalytic index, and comprehensively evaluates the quality of coking coal, including conventional indicators such as ash content, volatile matter, and sulfur content, as well as mineral in-situ control parameters.
A comprehensive analysis of coking coal quality is conducted to guide coking coal blending, improve coke quality, and ensure the performance of coke in blast furnaces.
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Figure CN117451966B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the technical field of coal coke production, and more particularly, relates to a coking coal quality evaluation method, system and device. BACKGROUND
[0002] Coke is an important raw fuel for blast furnace ironmaking, which plays an important role in heat source, reducing agent, column skeleton and carbonization of molten iron, and coke performance has an important influence on blast furnace coke ratio, production efficiency, molten iron quality and economic benefit. With the development of blast furnace large-scale and coal injection technology, the coal ratio is continuously improved, and the load of coke in the blast furnace is heavier, so the requirement for the metallurgical performance of coke is becoming more and more strict. The metallurgical performance of coke, such as coke reactivity, post-reaction strength, is closely related to the production conditions of coke oven and the quality of coking coal. Under the existing production system (stable coke oven parameters), how to control the quality of coking coal becomes the most important thing to ensure the quality of coke.
[0003] There is no recognized or relatively unified coking coal resource evaluation system for the quality of coking coal. In the quality analysis of coking coal, not only the conventional quality analysis of coal, i.e. the ash content, volatile matter, sulfur content, caking property, etc. of coking coal, but also the coking property index of coking coal should be represented. At the same time, with the development of coal petrography technology, many countries and enterprises have introduced coal petrography technology into coking blending, using vitrinite reflectance, active-inactive ratio, etc. to represent the metamorphic degree, coal blending situation and coking performance of coking coal. In addition, the mineral composition of coal is complex, and part of the minerals has an important influence on the metallurgical performance of coke, such as reactivity, cold strength and hot strength. The previous researches are mostly to analyze the oxides in the ash of coal, and then obtain the catalytic index based on the oxides. In fact, the minerals in coking coal are mostly kaolin, quartz and other minerals, so the oxide analysis is easy to cause deviation. Moreover, the current evaluation method of coking coal is often used to evaluate part of the indexes in coking coal, which is difficult to comprehensively analyze the quality of coking coal, and leads to insufficient role in guiding coking coal procurement and coking blending.
[0004] Based on the above technical background, it is necessary to propose a new coking coal quality evaluation method to comprehensively analyze the quality of coking coal and optimize coking blending, so as to ensure the smooth running of the blast furnace. SUMMARY
[0005] The purpose of the present application is to provide a coking coal quality evaluation method, system and device, which comprehensively analyzes the quality of coking coal and helps to guide coking blending and improve the quality of coke.
[0006] In order to solve the above technical problems, the present application adopts the following technical scheme:
[0007] According to one aspect of the present application, a coking coal quality evaluation method is provided, comprising the following steps:
[0008] 1) Selecting a coal sample and placing it in a drying box for drying, and performing basic detection to obtain basic physical parameters of the coal sample;
[0009] 2) Performing XRD analysis on the coal sample to determine the mineral components in the coal sample, and quantitatively analyzing the content of each mineral component to calculate a mineral in-situ catalytic index;
[0010] 3) Performing score calculation on the basic physical parameters and the mineral in-situ catalytic index respectively to obtain a basic physical parameter calculation score and a mineral in-situ catalytic index calculation score;
[0011] 4) Assigning weights to the basic physical parameter calculation score and the mineral in-situ catalytic index calculation score to obtain a comprehensive evaluation score of the coal sample;
[0012] 5) Determining the quality of the coking coal based on the comprehensive evaluation score of the coal sample.
[0013] In an embodiment of the present application, in step 1), the basic physical parameters of the coal sample include the ash content, volatile content, sulfur content, caking index, base flowability, maximum reflectance of vitrinite group, standard deviation, active-inert ratio, falling strength and post-reaction strength of the coking coal.
[0014] In an embodiment of the present application, in step 2), the mineral in-situ catalytic index is calculated by the following formula:
[0015]
[0016] In an embodiment of the present application, in step 3), the basic physical parameters and the mineral in-situ catalytic index are respectively obtained by the following formula to obtain a calculation score:
[0017] Ash content: y1 = -10 x x1 + 185 8.5 ≤ x1 ≤ 13.5
[0018] y1 = 100 x1 < 8.5;
[0019] Volatile content: y2 = x2 + 75 15 ≤ x2 ≤ 25
[0020] y2 = -1.2 x x2 + 130 25 < x2 ≤ 41;
[0021] Sulfur content: y3 = -20 x x3 + 105 0.3 ≤ x3 ≤ 1.5
[0022] y3 = -100 x3 < 0.3;
[0023] Caking index: y4 = 0.47 x x4 + 51 15 ≤ x4 ≤ 90
[0024] y4 = 100 x4 > 90;
[0025] Base flow: y5 = 6.6 x lgx5 + 74.5 0 < x5 < 10000
[0026] y5 = 100 x5 > 10000
[0027] Vitrinite maximum reflectance: y6 = 50 x x6 + 40 0.6 < x6 < 1.2
[0028] y6 = 100 1.2 < x6 < 1.4
[0029] y6 = -50 x x6 + 170 1.4 < x6 < 1.7
[0030] Standard deviation: y7 = -100 x x7 + 110 0 < x7 < 0.3
[0031] y7 = 80 x7 > 0.3
[0032] RIO: y8 = 5 x x8 + 85 1 < x8 < 3
[0033] y8 = -5 x x8 + 115 3 < x8 < 6
[0034] Drop strength: y9 = 1.14 x x9 + 85 50 < x9 < 80
[0035] y9 = 100 x9 > 80
[0036] Post-reaction strength: y 10 = x 10 + 25 x 10 < 75
[0037] y 10 = 100 x 10 > 75
[0038] In-situ mineral catalytic index: y 11 = -50 x x 11 + 110 x 11 > 0.2
[0039] y 11 = 100 x 11 < 0.2
[0040] wherein x1, x2, x3, x4, x5, x6, x7, x8, x9 and x 10 are ash content, %, volatile matter, %, sulfur content, %, caking index, %, base flow, ddpm, vitrinite maximum reflectance, %, standard deviation, RIO, drop strength, % and post-reaction strength, % of the coking coal, respectively; x 11is the calculated in-situ catalytic index of the mineral matter; y1, y2, y3, y4, y5, y6, y7, y8, y9, and y 10 are the calculated scores of the ash content, the volatile matter content, the sulfur content, the caking index, the basic flowability, the maximum vitrinite reflectance, the standard deviation, the ratio of reactive matter to inert matter, the falling strength, and the strength after reaction of the coking coal, respectively; y 11 is the calculated score of the in-situ catalytic index of the mineral matter.
[0041] In one embodiment of the present application, in step 4), the comprehensive evaluation score of the coal sample is calculated by the following formula:
[0042] Y = 0.06 x (0.23 x y1+ 0.122 x y2+ 0.648 x y3) + 0.133 x (0.512 x y4+ 0.329 x y5+ 0.15
[0043] 8 x y 11 ) + 0.209 x (0.581 x y6+ 0.309 x y7+ 0.11 x y8) + 0.598 x (0.25 x y9+ 0.75 x y 10 ),
[0044] wherein Y is the comprehensive evaluation score of the coal sample.
[0045] In one embodiment of the present application, in step 5):
[0046] when the comprehensive evaluation score is ≥ 90, the coking coal is determined to be high-quality coking coal;
[0047] when 85 ≤ the comprehensive evaluation score < 90, the coking coal is determined to be relatively high-quality coking coal;
[0048] when 80 ≤ the comprehensive evaluation score < 85, the coking coal is determined to be general coking coal;
[0049] when the comprehensive evaluation score < 80, the coking coal is determined to be poor-quality coking coal.
[0050] In one embodiment of the present application, in step 1), the selected coal sample is placed in a drying box for drying for 6-8 hours.
[0051] In one embodiment of the present application, in step 2), the mineral matter is a mineral matter with an ash content of more than 5% in the coal sample.
[0052] According to another aspect of the present application, a coking coal quality evaluation system is provided, comprising:
[0053] a first module configured to select a coal sample and place it in a drying box for drying, and perform basic detection to obtain basic physical parameters of the coal sample;
[0054] The second module is configured to perform XRD analysis on the coal sample, determine the mineral components in the coal sample, and quantitatively analyze the content of each mineral to calculate a mineral in-situ catalytic index;
[0055] The third module is configured to perform score calculation on the basic physical parameters and the mineral in-situ catalytic index to obtain a basic physical parameter calculation score and a mineral in-situ catalytic index calculation score.
[0056] The fourth module is configured to assign weights to the basic physical parameter calculation score and the mineral in-situ catalytic index calculation score to obtain a comprehensive evaluation score of the coal sample.
[0057] The fifth module is configured to determine the quality of the coking coal based on the comprehensive evaluation score of the coal sample.
[0058] According to another aspect of the present application, a coking coal quality evaluation device is provided, comprising:
[0059] one or more processors and a memory,
[0060] The memory stores a computer program, and when the one or more processors execute the computer program, the device performs the coking coal quality evaluation method as described above.
[0061] By adopting the above technical solution, the present application has the following advantages compared with the prior art:
[0062] The present application comprehensively considers various parameters such as conventional indexes of ash content, volatile matter content, sulfur content, caking index, basic flowability, maximum reflectance of vitrinite group, standard deviation, active-inert ratio, falling strength and post-reaction strength, coal petrography indexes, and coke quality indexes, and newly adds a mineral in-situ control parameter, so as to comprehensively analyze the quality of the coking coal, which is helpful to guide coking coal blending, improve coke quality, and ensure the application of coke in blast furnaces. BRIEF DESCRIPTION OF DRAWINGS
[0063] Figure 1 A flowchart of a coking coal quality evaluation method provided by the present application is shown. DETAILED DESCRIPTION
[0064] It should be understood that the embodiments of the present application shown in the example embodiments are only illustrative. Although only a few embodiments are described in detail in the present application, those skilled in the art can easily appreciate that various modifications are possible without departing from the teachings of the present application subject matter. Accordingly, all such modifications should be included in the scope of the present application. Other substitutions, modifications, changes and omissions can be made to the design, operating conditions and parameters of the following example embodiments without departing from the spirit of the present application.
[0065] As Figure 1 shown, the present application provides a coking coal quality evaluation method, comprising the following steps:
[0066] S101: selecting a coal sample and placing it in a drying box for drying, and performing basic detection to obtain basic physical parameters of the coal sample;
[0067] S102: performing XRD analysis on the coal sample to determine the mineral components in the coal sample, and quantitatively analyzing the content of each mineral component to calculate the mineral in-situ catalytic index;
[0068] S103: performing score calculation on the basic physical parameters and the mineral in-situ catalytic index respectively to obtain the basic physical parameter calculation score and the mineral in-situ catalytic index calculation score;
[0069] S104: performing weight assignment on the basic physical parameter calculation score and the mineral in-situ catalytic index calculation score to obtain a comprehensive evaluation score of the coal sample;
[0070] S105: determining the quality of the coking coal based on the comprehensive evaluation score of the coal sample.
[0071] The present application comprehensively considers various parameters such as conventional indexes of ash content, volatile matter content, sulfur content, caking index, basic flowability, maximum reflectance of vitrinite group, standard deviation, active inert ratio, falling strength and post-reaction strength, coal petrography indexes, and coke quality indexes, and newly adds a mineral in-situ control parameter, so as to comprehensively analyze the quality of coking coal, which is helpful for guiding coking coal blending, improving coke quality, and ensuring the application of coke in blast furnaces.
[0072] In the above method, in S101, the basic physical parameters of the coal sample include ash content, volatile matter content, sulfur content, caking index, basic flowability, maximum reflectance of vitrinite group, standard deviation, active inert ratio, falling strength, and post-reaction strength of the coking coal.
[0073] In the above method, in S102, the mineral in-situ catalytic index is calculated by the following formula:
[0074]
[0075] In the above method, in S103, the basic physical parameters and the mineral in-situ catalytic index are respectively obtained by the following formula to obtain the calculation score:
[0076] Ash content: y1=-10x1+185 8.5≤x1≤13.5
[0077] y1=100 x1<8.5;
[0078] Volatile matter: y2 = x2 + 75 15 < x2 < 25
[0079] y2 = -1.2 x x2 + 130 25 < x2 < 41
[0080] Sulfur: y3 = -20 x x3 + 105 0.3 < x3 < 1.5
[0081] y3 = -100 x x3 < 0.3
[0082] Caking index: y4 = 0.47 x x4 + 51 15 < x4 < 90
[0083] y4 = 100 x x4 > 90
[0084] Base flowability: y5 = 6.6 x x5 + 74.5 0 < x5 < 10000
[0085] y5 = 100 x x5 > 10000
[0086] Vitrinite maximum reflectance: y6 = 50 x x6 + 40 0.6 < x6 < 1.2
[0087] y6 = 100 1.2 < x6 < 1.4
[0088] y6 = -50 x x6 + 170 1.4 < x6 < 1.7
[0089] Standard deviation: y7 = -100 x x7 + 110 0 < x7 < 0.3
[0090] y7 = 80 x x7 > 0.3
[0091] Active-inert ratio: y8 = 5 x x8 + 85 1 < x8 < 3
[0092] y8 = -5 x x8 + 115 3 < x8 < 6
[0093] Drop strength: y9 = 1.14 x x9 + 85 50 < x9 < 80
[0094] y9 = 100 x x9 > 80
[0095] Post-reaction strength: y 10 = x 10 + 25 x 10 < 75
[0096] y 10 = 100 x 10 > 75
[0097] Mineral matter in-situ catalytic index: y 11 = -50 x x 11+110 x 11 ≥0.2
[0098] y 11 =100 x 11 <0.2,
[0099] wherein, wherein, x1, x2, x3, x4, x5, x6, x7, x8, x9 and x 10 are ash content, %, volatile matter, %, sulfur content, %, caking index, %, basic flowability, ddpm, vitrinite maximum reflectance, %, standard deviation, reactive-inert ratio, falling strength, % and strength after reaction, % of the coking coal, respectively; x 11 is the calculated mineral matter in-situ catalytic index; y1, y2, y3, y4, y5, y6, y7, y8, y9 and y 10 are the calculated scores of ash content, volatile matter, sulfur content, caking index, basic flowability, vitrinite maximum reflectance, standard deviation, reactive-inert ratio, falling strength and strength after reaction of the coking coal, respectively; y 11 is the calculated score of the mineral matter in-situ catalytic index.
[0100] In the above method, in S104, the comprehensive evaluation score of the coal sample is calculated by the following formula:
[0101] Y = 0.06 x (0.23 x y1+0.122 x y2+0.648 x y3) + 0.133 x (0.512 x y4+0.329 x y5+0.15
[0102] 8 x y 11 ) + 0.209 x (0.581 x y6+0.309 x y7+0.11 x y8) + 0.598 x (0.25 x y9+0.75 x y 10 ),
[0103] wherein, Y is the comprehensive evaluation score of the coal sample.
[0104] In the above method, in S105:
[0105] when the comprehensive evaluation score is ≥ 90, the coking coal is determined to be high-quality coking coal;
[0106] when 85 ≤ the comprehensive evaluation score < 90, the coking coal is determined to be relatively high-quality coking coal;
[0107] when 80 ≤ the comprehensive evaluation score < 85, the coking coal is determined to be general coking coal;
[0108] when the comprehensive evaluation score < 80, the coking coal is determined to be poor-quality coking coal.
[0109] In the above method, in S101, the selected coal sample is placed in a drying box for drying for 6-8h.
[0110] In the above method, in S102, the mineral matter is a mineral matter with ash content greater than 5% in the coal sample.
[0111] In addition, the present application also provides a coking coal quality evaluation system, comprising:
[0112] A first module configured to select a coal sample and place it in a drying box for drying, and perform basic detection to obtain basic physical parameters of the coal sample;
[0113] A second module configured to perform XRD analysis on the coal sample, determine the mineral matter components in the coal sample, and quantitatively analyze the content of each mineral matter, and calculate the in-situ catalytic index of the mineral matter;
[0114] A third module configured to perform score calculation on the basic physical parameters and the in-situ catalytic index of the mineral matter, respectively, to obtain a basic physical parameter calculation score and a mineral matter in-situ catalytic index calculation score;
[0115] A fourth module configured to assign weights to the basic physical parameter calculation score and the mineral matter in-situ catalytic index calculation score to obtain a comprehensive evaluation score of the coal sample;
[0116] A fifth module configured to determine the quality of the coking coal based on the comprehensive evaluation score of the coal sample.
[0117] In addition, the present application also provides a coking coal quality evaluation device, comprising:
[0118] One or more processors and a memory,
[0119] The memory stores a computer program, and when the one or more processors execute the computer program, the device performs the coking coal quality evaluation method as described above.
[0120] The above technical solutions of the present application will be described in detail below through specific embodiments.
[0121] Embodiment 1
[0122] A coking coal quality evaluation method, comprising the following steps:
[0123] (1) Selecting the coke A, placing it in the drying box for drying for 6-8 hours, performing the basic physical property parameter analysis of the coking coal ash content (Ad), %, volatile matter (Vd), %, sulfur content (St, d), %, caking index (G), %, base type fluidity (MF), ddpm, vitrinite group maximum reflectivity (Rmax), %, standard deviation (S), active inert ratio (HD), falling strength (M40), % and post-reaction strength (CSR), %, etc., and the specific contents are shown in Table 1.
[0124] Table 1 Basic physical property parameters of coke A
[0125] Ad Vd St,d G MF [R max ]] S HD M 40 ]] CSR 10.76 18.99 1.23 77 383 1.324 0.095 1.63 78.2 66.6
[0126] (2) The coke A is subjected to XRD analysis to determine the mineral components in the coke A and quantitatively analyze the content of each mineral, and calculate the mineral in-situ catalytic index (MOCI), and the following can be obtained:
[0127]
[0128] Here, the mineral with ash content greater than 5% in the coke A is mainly considered.
[0129] (3) The basic physical property parameters and the mineral in-situ catalytic index are respectively scored by the following formula to obtain the basic physical property parameter calculation score and the mineral in-situ catalytic index calculation score, and the specific calculation results are shown in Table 2.
[0130] Ash content: y1 = -10x1 + 185 8.5≤x1≤13.5
[0131] y1 = 100 x1 < 8.5;
[0132] Volatile matter: y2 = x2 + 75 15≤x2≤25
[0133] y2 = -1.2x2 + 130 25 < x2≤41;
[0134] Sulfur content: y3 = -20x3 + 105 0.3≤x3≤1.5
[0135] y3 = -100 x3 < 0.3;
[0136] Caking index: y4 = 0.47x4 + 51 15≤x4≤90
[0137] y4 = 100 x4 > 90;
[0138] Base type fluidity: y5 = 6.6lgx5 + 74.5 0≤x5≤10000
[0139] y5 = 100 x5 > 10000;
[0140] Vitrinite maximum reflectance: y6 = 50 x x6 + 40 0.6≤x6≤1.2
[0141] y6 = 100 1.2
[0142] y6 = -50 x x6 + 170 1.4≤x6≤1.7;
[0143] Standard deviation: y7 = -100 x x7 + 110 0≤x7≤0.3
[0144] y7 = 80 x7>0.3;
[0145] Ratio of active to inert: y8 = 5 x x8 + 85 1≤x8≤3
[0146] y8 = -5 x x8 + 115 3
[0147] Drop strength: y9 = 1.14 x x9 + 85 50≤x9≤80
[0148] y9 = 100 x9>80;
[0149] Post-reaction strength: y 10 = x 10 + 25 x 10 ≤75
[0150] y 10 = 100 x 10 >75;
[0151] In-situ mineral catalytic index: y 11 = -50 x x 11 + 110 x 11 ≥0.2
[0152] y 11 = 100 x 11 <0.2,
[0153] wherein x1, x2, x3, x4, x5, x6, x7, x8, x9 and x 10 are the ash content, volatile matter content, sulfur content, caking index, base flowability, vitrinite maximum reflectance, standard deviation, ratio of active to inert, drop strength and post-reaction strength of the coking coal analyzed in Table 1, respectively; x 11 is the in-situ mineral catalytic index calculated in step (2); y1, y2, y3, y4, y5, y6, y7, y8, y9 and y 10are the calculated scores corresponding to the ash content, volatile matter content, sulfur content, caking index, basic flowability, maximum vitrinite reflectance, standard deviation, inertiveness ratio, falling strength and strength after reaction of the coking coal, respectively; y 11 is the calculated score of the mineral matter in-situ catalytic index.
[0154] Table 2 calculated scores of basic physical parameters and calculated scores of mineral matter in-situ catalytic index of the coking coal A
[0155] Ad Vd St,d G MF [R max ]]> S HD M 40 ]]> CSR MOCI 77.4 93.99 80.4 87.19 91.55 100 90.5 93.15 97.648 91.6 79.5
[0156] (4) The calculated scores of basic physical parameters and the calculated scores of mineral matter in-situ catalytic index of the coking coal A are weighted to obtain the comprehensive evaluation score of the coal sample, specifically:
[0157] Y A = 0.06 x (0.23 x y1+0.122 x y2+0.648 x y3) + 0.133 x (0.512 x y4+0.329 x y5+0.158 x y6) + 0.209 x (0.581 x y7+0.309 x y8+0.11 x y9) + 0.598 x (0.25 x y10+0.75 x y11) = 91.97 11 10
[0158] (5) The comprehensive evaluation score Y A > 90 points, the coking coal A belongs to high-quality coking coal.
[0159] Example 2
[0160] A coking coal quality evaluation method, comprising the following steps:
[0161] (1) Selecting the coking coal B, drying it in a drying box for 6-8 hours, and analyzing the basic physical parameters of the coking coal, such as ash content (Ad), %, volatile matter content (Vd), %, sulfur content (St,d), %, caking index (G), %, basic flowability (MF), ddpm, maximum vitrinite reflectance (Rmax), %, standard deviation (S), inertiveness ratio (HD), falling strength (M40), % and strength after reaction (CSR), %, etc., specifically as shown in Table 3.
[0162] Table 3 basic physical parameters of the coking coal B
[0163] A d ]]> V d ]]> [SA t,d ]]> G MF [R max ]] S HD M 40 ]]> CSR 9.96 27.49 0.75 76 349 1.045 0.177 1.25 73.8 53.7
[0164] (2) The coking coal B is subjected to XRD analysis to determine the mineral matter components in the coking coal B and quantitatively analyze the content of each mineral matter, and the mineral matter in-situ catalytic index (MOCI) is calculated, which can be obtained as follows:
[0165]
[0166] Here, minerals with ash content greater than 5% in coke B are focused on.
[0167] (3) The basic physical property parameters and the in-situ catalytic index of minerals are scored by the following formula respectively to obtain the basic physical property parameter calculation score and the in-situ catalytic index of mineral calculation score, and the specific calculation results are shown in Table 4.
[0168] Ash content: y1 = -10 x x1 + 185 8.5≤x1≤13.5
[0169] y1 = 100 x1 < 8.5;
[0170] Volatile matter: y2 = x2 + 75 15≤x2≤25
[0171] y2 = -1.2 x x2 + 130 25 < x2≤41;
[0172] Sulfur content: y3 = -20 x x3 + 105 0.3≤x3≤1.5
[0173] y3 = -100 x3 < 0.3;
[0174] Caking index: y4 = 0.47 x x4 + 51 15≤x4≤90
[0175] y4 = 100 x4 > 90;
[0176] Basic fluidity: y5 = 6.6 x lg x5 + 74.5 0≤x5≤10000
[0177] y5 = 100 x5 > 10000;
[0178] Vitrinite maximum reflectance: y6 = 50 x x6 + 40 0.6≤x6≤1.2
[0179] y6 = 100 1.2 < x6 < 1.4
[0180] y6 = -50 x x6 + 170 1.4≤x6≤1.7;
[0181] Standard deviation: y7 = -100 x x7 + 110 0≤x7≤0.3
[0182] y7 = 80 x7 > 0.3;
[0183] Active-inert ratio: y8 = 5 x x8 + 85 1≤x8≤3
[0184] y8 = -5 x x8 + 115 3 < x8≤6;
[0185] Fall strength: y9 = 1.14 x x9 + 85 50≤x9≤80
[0186] y9 = 100 x9 > 80;
[0187] Post-reaction strength: y 10 = x 10 + 25 x 10 ≤ 75
[0188] y 10 = 100 x 10 > 75;
[0189] Mineral in-situ catalytic index: y 11 = -50 x x 11 + 110 x 11 ≥ 0.2
[0190] y 11 = 100 x 11 < 0.2,
[0191] wherein x1, x2, x3, x4, x5, x6, x7, x8, x9 and x 10 are the ash content, volatile matter content, sulfur content, caking index, base flowability, maximum vitrinite reflectance, standard deviation, active-inert ratio, fall strength and post-reaction strength of the coking coal analyzed in Table 3; x 11 is the mineral in-situ catalytic index calculated in step (2); y1, y2, y3, y4, y5, y6, y7, y8, y9 and y 10 are the calculated scores of the ash content, volatile matter content, sulfur content, caking index, base flowability, maximum vitrinite reflectance, standard deviation, active-inert ratio, fall strength and post-reaction strength of the coking coal; and y 11 is the calculated score of the mineral in-situ catalytic index.
[0192] Table 4 Calculated scores of the basic physical property parameters and the mineral in-situ catalytic index of the coke B
[0193] A d ]]> V d ]]> [SA t,d ]]> G MF [R max ]]> S HD M 40 ]]> CSR MOCI 85.4 97.01 90 86.72 91.28 92.25 82.3 91.25 92.63 78.7 66
[0194] (4) The calculated scores of the basic physical property parameters and the mineral in-situ catalytic index of the coke B are assigned weights to obtain the comprehensive evaluation score of the coal sample, which is specifically:
[0195] Y B = 0.06 x (0.23 x y1 + 0.122 x y2 + 0.648 x y3) + 0.133 x (0.512 x y4 + 0.329 x y5 + 0.158 x y 11)+ 0.209 x (0.581 x y6+ 0.309 x y7+ 0.11 x y8) + 0.598 x (0.25 x y9+ 0.75 x y 10 ) = 84.11
[0196] (5) 80≤Y<85, coke B belongs to general coking coal. B <85, coke B belongs to general coking coal.
[0197] Example 3
[0198] A coking coal quality evaluation method, comprising the following steps:
[0199] (1) Select coke C, dry it in a drying box for 6-8 hours, and analyze the basic physical parameters of the coking coal, such as ash content (Ad), %, volatile matter (Vd), %, sulfur content (St, d), %, caking index (G), %, basic flowability (MF), ddpm, vitrinite group maximum reflectivity (Rmax), %, standard deviation (S), active inert ratio (HD), falling strength (M40), %, and post-reaction strength (CSR), %, etc., as shown in Table 5.
[0200] Table 5 Basic physical parameters of coke C
[0201] A d ]]> V d ]]> [SA t,d ]] G MF [R max ]] S HD M 40 ]]> CSR 10.17 23.97 0.78 78 479 1.197 0.184 1.13 62.4 72.4
[0202] (2) Perform XRD analysis on coke C to determine the mineral components in coke C and quantitatively analyze the content of each mineral, and calculate the mineral in-situ catalytic index (MOCI), which can be obtained as follows:
[0203]
[0204] Here, the mineral with ash content greater than 5% in coke C is focused on.
[0205] (3) The basic physical parameters and the mineral in-situ catalytic index are respectively scored by the following formula to obtain the basic physical parameter calculation score and the mineral in-situ catalytic index calculation score, and the specific calculation results are shown in Table 6.
[0206] Ash content: y1 = -10 x x1 + 185 8.5≤x1≤13.5
[0207] y1 = 100 x1 < 8.5;
[0208] Volatile matter: y2 = x2 + 75 15≤x2≤25
[0209] y2 = -1.2 x x2 + 130 25 < x2≤41;
[0210] Sulfur: y3 = -20 x3 + 105 0.3 < x3 < 1.5
[0211] y3 = -100 x3 < 0.3
[0212] y3 = 100 x3 > 1.5
[0213] Caking index: y4 = 0.47 x4 + 51 15 < x4 < 90
[0214] y4 = 100 x4 > 90
[0215] y4 = -100 x4 < 15
[0216] Vitrinite maximum reflectance: y6 = 50 x6 + 40 0.6 < x6 < 1.2
[0217] y6 = 100 1.2 < x6 < 1.4
[0218] y6 = -50 x6 + 170 1.4 < x6 < 1.7
[0219] Standard deviation: y7 = -100 x7 + 110 0 < x7 < 0.3
[0220] y7 = 80 x7 > 0.3
[0221] Ratio of active to inert: y8 = 5 x8 + 85 1 < x8 < 3
[0222] y8 = -5 x8 + 115 3 < x8 < 6
[0223] Drop strength: y9 = 1.14 x9 + 85 50 < x9 < 80
[0224] y9 = 100 x9 > 80
[0225] Post-reaction strength: y 10 = x 10 + 25 x 10 < 75
[0226] y 10 = 100 x 10 > 75
[0227] Mineral matter in situ catalytic index: y 11 = -50 x 11 + 110 x 11 > 0.2
[0228] y 11 = 100 x 11 < 0.2
[0229] wherein x1, x2, x3, x4, x5, x6, x7, x8, x9 and x 10 are the ash content, volatile matter content, sulfur content, caking index, base flow value, maximum vitrinite reflectance, standard deviation, active inert ratio, falling strength and post-reaction strength of the coking coal analyzed in Table 2, respectively; x 11 is the mineral matter in-situ catalytic index calculated in step (2); y1, y2, y3, y4, y5, y6, y7, y8, y9 and y 10 are the calculated scores of the ash content, volatile matter content, sulfur content, caking index, base flow value, maximum vitrinite reflectance, standard deviation, active inert ratio, falling strength and post-reaction strength of the coking coal, respectively; y 11 is the calculated score of the mineral matter in-situ catalytic index.
[0230] Table 6 Calculated scores of the basic physical parameters and the mineral matter in-situ catalytic index of the coke C
[0231] A d ]]> V d ]]> [SA t,d ]] G MF [R max ]]> S HD M 40 ]]> CSR MOCI 83.3 98.97 89.4 87.66 92.19 96.5 81.6 91.25 91.04 87.4 73
[0232] (4) The calculated scores of the basic physical parameters and the mineral matter in-situ catalytic index of the coke C are weighted to obtain the comprehensive evaluation score of the coal sample, specifically:
[0233] Y C = 0.06 x (0.23 x y1+0.122 x y2+0.648 x y3) + 0.133 x (0.512 x y4+0.329 x y5+0.158 x y 11 ) + 0.209 x (0.581 x y6+0.309 x y7+0.11 x y8) + 0.598 x (0.25 x y9+0.75 x y 10 ) = 88.45
[0234] (5) The comprehensive evaluation score Y C > 85, the coke C belongs to a better coking coal.
[0235] As can be seen from the above Examples 1-3, the coking coal quality evaluation method provided by the present application comprehensively considers various parameters such as the conventional indexes, coal petrography indexes and coke quality indexes of the coking coal, such as the ash content, volatile matter content, sulfur content, caking index, base flow value, maximum vitrinite reflectance, standard deviation, active inert ratio, falling strength and post-reaction strength, and newly adds the mineral matter in-situ control parameter, so as to comprehensively analyze the quality of the coking coal, which is helpful to guide the coking coal blending, improve the coke quality and ensure the application of the coke in the blast furnace.
[0236] The above merely describes preferred embodiments of the present application, and is not intended to limit the scope of the application; if the modifications or equivalent replacements are made to the present application without departing from the spirit and scope of the present application, they shall be covered within the protection scope of the claims of the present application.
Claims
1. A method for evaluating the quality of coking coal, characterized by, The method comprises the following steps: 1) selecting a coal sample and placing it in a drying box for drying, and performing basic detection to obtain basic physical parameters of the coal sample; 2) performing XRD analysis on the coal sample to determine the mineral components in the coal sample, and quantitatively analyzing the content of each mineral component, and calculating the in-situ catalytic index of the mineral component by the following formula: ; 3) performing score calculation on the basic physical parameters and the in-situ catalytic index of the mineral component respectively to obtain the basic physical parameter calculation score and the in-situ catalytic index calculation score of the mineral component; 4) performing weight assignment on the basic physical parameter calculation score and the in-situ catalytic index calculation score of the mineral component to obtain the comprehensive evaluation score of the coal sample; 5) determining the quality of the coking coal based on the comprehensive evaluation score of the coal sample.
2. The coking coal quality evaluation method according to claim 1, characterized by, In step 1), the basic physical parameters of the coal sample include the ash content, volatile matter content, sulfur content, caking index, basic flowability, maximum reflectance of vitrinite group, standard deviation, active-inert ratio, falling strength and post-reaction strength of the coking coal.
3. The coking coal quality evaluation method according to claim 2, characterized by, In step 3), the basic physical parameters and the in-situ catalytic index of the mineral component are calculated by the following formulas respectively: wherein x1, x2, x3, x4, x5, x6, x7, x8, x9 and x 10 are the ash content, the volatile matter content, the sulfur content, the caking index, the base flow value, the vitrinite maximum reflectance, the standard deviation, the active-inert ratio, the falling strength, and the strength after reaction of the coking coal, respectively; x 11 is the calculated mineral matter in-situ catalytic index; y1, y2, y3, y4, y5, y6, y7, y8, y9 and y 10 are the calculated scores of the ash content, the volatile matter content, the sulfur content, the caking index, the base flow value, the vitrinite maximum reflectance, the standard deviation, the active-inert ratio, the falling strength, and the strength after reaction of the coking coal, respectively; y 11 is the calculated mineral matter in-situ catalytic index.
4. The coking coal quality evaluation method according to claim 3, characterized by, In step 4), the comprehensive evaluation score of the coal sample is calculated by the following formula: Wherein, Y is the comprehensive evaluation score of the coal sample.
5. The coking coal quality evaluation method according to claim 4, characterized by, In step 5): When the comprehensive evaluation score is greater than or equal to 90, it is determined that the coking coal belongs to high-quality coking coal; When 85 is less than 90, it is determined that the coking coal belongs to better coking coal; When 80 is less than 85, it is determined that the coking coal belongs to general coking coal; When the comprehensive evaluation score is less than 80, it is determined that the coking coal belongs to poor-quality coking coal.
6. The coking coal quality evaluation method according to claim 1, characterized by, In step 1), the selected coal sample is placed in a drying box for drying for 6-8 hours.
7. The coking coal quality evaluation method according to claim 1, characterized by, In step 2), the mineral is a mineral whose ash content accounts for more than 5% in the coal sample.
8. A coking coal quality evaluation system characterized by comprising: It comprises: A first module configured to select a coal sample and place it in a drying box for drying, and perform basic detection to obtain basic physical parameters of the coal sample; A second module configured to perform XRD analysis on the coal sample to determine the mineral components in the coal sample, and quantitatively analyze the content of each mineral, and calculate the in-situ catalytic index of the mineral by the following formula: ; A third module configured to perform score calculation on the basic physical parameters and the in-situ catalytic index of the mineral component respectively to obtain the basic physical parameter calculation score and the in-situ catalytic index calculation score of the mineral component; A fourth module configured to perform weight assignment on the basic physical parameter calculation score and the in-situ catalytic index calculation score of the mineral component to obtain the comprehensive evaluation score of the coal sample; A fifth module configured to determine the quality of the coking coal based on the comprehensive evaluation score of the coal sample.
9. A coking coal quality evaluation apparatus characterized by comprising: It comprises: One or more processors and a memory, The memory has stored thereon a computer program, and when the one or more processors execute the computer program, the device performs the coking coal quality evaluation method according to any one of claims 1-7.
Citation Information
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