Method for multi-dimensionally evaluating coking coal

Abstract

The application discloses a method for multi-dimensionally evaluating coking coal, and comprises the following steps: establishing multiple levels of dimensions for the evaluation of the coking coal, so as to realize the evaluation of the coking coal from multiple angles and in a three-dimensional manner according to the formation, performance and application of the coking coal; comprehensively analyzing the performance of the coking coal resources within a reasonable regional radius; functionally evaluating the coking coal resources within the reasonable regional radius; combining the requirements of the metallurgical coke production quality and cost and the functional indexes to subdivide the single coking coal within the reasonable regional radius; and performing a quantitative evaluation by scoring. The method for multi-dimensionally evaluating the coking coal can effectively solve the problem that the division of the coking coal is relatively simple and the guidance for the coking by blending is not strong.

Description

Technical Field

[0001] This invention belongs to the field of coking coal application technology, and in particular relates to a method for multi-dimensional evaluation of coking coal. Background Technology

[0002] my country is the world's largest producer of coke, with metallurgical coke production reaching 475-490 million tons in the past two to three years, accounting for 68-75% of the world's total coke production. China's coking coal reserves account for 26.25% of the world's total, with proven reserves of 276.5 billion tons and basic reserves of 126.3 billion tons. However, coking coal reserves only account for 7.65% of my country's total coal reserves, and high-quality coking coal is even scarcer. my country's remaining proven coking coal reserves are limited, and some producing areas are nearing depletion. Based on current raw coal consumption, my country's coking coal reserves can only meet the coking production needs for the next few decades, and the distribution of coking coal in my country is extremely uneven. Therefore, the scientific and rational utilization of coking coal resources is crucial for the healthy and sustainable development of the steel industry. The core and key to the scientific and rational utilization of coking coal resources lies in a comprehensive, in-depth, and scientific understanding and evaluation of coking coal. Currently, the classification and evaluation of coking coal mainly refer to the 2009 national technical standard "Classification of Chinese Coal GB / T5751". However, this standard primarily classifies coking coal based on volatile matter and caking index (G), supplemented by maximum plastic layer thickness (Y) and Oya expansion (b). The classification is relatively simple and lacks strong guidance for coking coal blending. In particular, with the contradiction between the scarcity of coal resources and the rigid demand for high-quality coking coal, as well as the driving force of market economic interests, the phenomenon of coal blending is serious in the current coking coal market. The fundamental nature of single-type coking coal has undergone significant changes, or fundamentally, it is no longer a single-type coking coal within the Chinese coking coal classification. This has a major impact on the correct use of single-type coking coal, and more importantly, it exerts extremely unfavorable constraints on the quality and cost of metallurgical coke. The changes in the quality of single coking coals and the rigid requirements and control of metallurgical coke production quality and cost have become a problem in coal blending and coking production. The deterioration of the intrinsic quality of single coking coals and the gradual increase in blast furnace smelting intensity have become the biggest challenges to the progress of the ironmaking and coking industries.

[0003] How to address new situations and market dynamics in coking coal, deeply understand the nature of single coking coal types and coking coal blending technology, blend coal well, produce high-quality coke, stabilize the structure, reduce costs, and provide stable and high-quality raw materials for blast furnaces. Summary of the Invention

[0004] To address the aforementioned technical problems, the purpose of this invention is to provide a method for evaluating coking coal from multiple dimensions.

[0005] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0006] This invention provides a method for multi-dimensional evaluation of coking coal, comprising:

[0007] Basic principles and ideas 1. Coking coal is a non-renewable, one-time mineral energy produced by ancient plants in ancient geographical environments through hundreds of millions of years of complex physical, chemical, physicochemical, biological, and geographical processes. Therefore, coking coal is not a single substance but has a complex composition and structure. The complexity of its formation process and structural composition determines the complexity and diversity of coking coal evaluation.

[0008] Basic principles and ideas 2: The basic properties of single coking coal, such as moisture, ash, volatile matter, sulfur and caking index, are no longer suitable for and can meet the needs of performance evaluation of single coking coal and coking coal blending and production requirements.

[0009] Basic principle and approach 3: From a mineralogical perspective, coking coal is a rock with special properties, so it can be analyzed and studied using microlithography methods and theories.

[0010] Basic principles and ideas 4: The evaluation of coking coal is based on its application, that is, the role and manifestation of the performance of the coking process. Its core function lies in the balance of the quantity and quality of the plastic body produced by coking coal during the smelting and coking process.

[0011] The basic principle and approach 5: The functional indicators for evaluating coking coal should be multi-dimensional and three-dimensional in terms of evaluation and classification.

[0012] Basic principles and ideas 6: In the evaluation of coking coal, the coal-forming age and coal-forming region are important factors to consider and should be given sufficient attention.

[0013] To implement a multi-dimensional evaluation method for coking coal, the implementation steps can be summarized as follows: comprehensive and coordinated consideration, evaluation as the foundation and application as the key, establishment of evaluation levels, and quantitative evaluation through scoring. The specific implementation steps are as follows:

[0014] Step 1: Comprehensive and coordinated consideration;

[0015] Furthermore, the evaluation of coking coal should be comprehensive and practical, taking into account the coal-forming age and environment, and comprehensively considering the quality and cost of blended coking.

[0016] Step 2: Evaluation as the foundation, application as the key;

[0017] Furthermore, the evaluation of coking coal is fundamental, and its application is the core and of paramount importance.

[0018] Step 3: Construct a multi-level, multi-dimensional evaluation methodology system, in which the evaluation dimensions complement each other and work synergistically in application;

[0019] Furthermore, the evaluation of coking coal establishes multiple dimensions to achieve a comprehensive evaluation of coking coal from multiple perspectives, including its formation, performance, and applications.

[0020] Furthermore, the first dimension of coking coal evaluation is the qualitative dimension. Based on the national technical standard "Chinese Coal Classification GB / T5751", the basic properties of coking coal are determined by classifying the main technical parameters of coking coal, namely volatile matter and caking index G, supplemented by the maximum thickness of the plastic layer Y and the degree of expansion b.

[0021] Furthermore, the second dimension of coking coal evaluation is the strength dimension, mainly using mechanical strength and thermal properties as evaluation indicators. The main technical parameters include crushing strength (M40), abrasion resistance (M10), thermal reactivity (CRI), and post-reaction strength (CSR).

[0022] Furthermore, the third dimension of coking coal evaluation is the microscopic dimension, which uses relevant technical parameters of coking coal petrographic analysis as evaluation indicators. The main technical parameters include the maximum reflectance of vitrinite, standard deviation, and coal quality distribution bar chart.

[0023] Furthermore, the coal quality distribution bar chart of coking coal petrographic analysis should be combined with the distribution ratio of different coal quality properties, and necessary interval ranges or specific value ranges should be set according to the coal formation age and coal quality classification of coking coal.

[0024] Furthermore, the fourth dimension of coking coal evaluation is the intrinsic composition dimension, which mainly uses the Gibbs freeness, ash content evaluation index and active-inert ratio in petrographic analysis as evaluation indicators.

[0025] Furthermore, the main technical parameters of Gibbs freeness of coking coal include five parameters: initial softening temperature (IST), maximum freeness temperature (MFT), solidification temperature (ST), maximum freeness (MF), and flow range (RF).

[0026] Furthermore, when evaluating the fourth dimension of coking coal performance, the intrinsic composition dimension, the main technical parameters of Gibbs freeness should be combined with the maximum thickness Y of the plastic layer and the type of plastic layer curve.

[0027] Furthermore, the fifth dimension of coking coal evaluation is the application dimension;

[0028] Furthermore, the evaluation of coking coal application dimensions mainly reflects its thermal properties, namely the thermal reactivity (CRI) and post-reaction strength (CSR) of coking coal.

[0029] Furthermore, the evaluation of coking coal applications primarily reflects its thermal properties;

[0030] Step 4: Conduct a comprehensive analysis of the performance of coking coal resources within a reasonable regional radius;

[0031] Furthermore, its indicators include, but are not limited to, ash content, sulfur content, volatile matter, bonding index G, maximum thickness of colloid Y, post-reaction strength CSR, ash content evaluation index, Gibbs maximum fluidity (αmax), lithofacies standard deviation (SR), and Oya expansion degree b.

[0032] Step 5: Functional evaluation of coking coal resources within a reasonable regional radius;

[0033] Furthermore, the functional indicators of coking coal resources mainly cover coking function, caking function, ash reduction function, sulfur reduction function, and volatile matter stabilization function.

[0034] Furthermore, the roles of each coking coal type within a reasonable radius in the overall coal blending are clearly defined;

[0035] Step 6: Subdivide single types of coking coal within a reasonable radius based on the requirements for quality and cost of metallurgical coke production and functional indicators;

[0036] Furthermore, coking coal is subdivided into three levels. The first level is based on functional indicators, which are divided into coking coal, caking coal, ash-reducing coal, sulfur-reducing coal, and volatile matter-stabilizing coal.

[0037] Furthermore, the second level of classification is based on the Chinese coking coal classification standard, dividing coking coal into 12 major categories, including lean coal, semi-lean coal, lean coal, coking coal, fat coal, 1 / 3 coking coal, gas-fat coal, gas coal, 1 / 2 medium-caking coal, weakly caking coal, non-caking coal, and long-flame coal.

[0038] Furthermore, based on the requirements for quality and cost of metallurgical coke production and functional indicators, the single type of coking coal within a reasonable regional radius is further subdivided as the third level of coking coal subdivision, such as lean coal 1#, lean coal 2#, lean coal 3#, etc.

[0039] Furthermore, the third level of coking coal subdivision is mainly based on the functional role played by metallurgical coke under the production quality and cost. It can be divided into several categories according to production needs, and can be revised and improved according to the needs of production quality and cost.

[0040] Step 7: Assign scores and conduct quantitative evaluation;

[0041] Furthermore, the scoring principles for coking coal evaluation follow the principles of objectivity, convenience, and practicality;

[0042] Furthermore, the quantitative evaluation of coking coal composition mainly uses qualitative, intensity, and internal structural indicators as evaluation indicators.

[0043] Furthermore, the quantitative evaluation of coking coal composition is one aspect of the characterization technology of this patent, but not the entirety of the technology;

[0044] Furthermore, the main technical indicators for quantitative evaluation of coking coal composition, which distinguish coking coal types based on volatile matter content;

[0045] Furthermore, the main indicators for quantitative evaluation of coking coal composition include ash content, sulfur content, caking index G, post-reaction strength CSR, catalytic evaluation index, Gibbs maximum fluidity (αmax), petrographic standard deviation (SR), and Auermann expansion degree b.

[0046] Furthermore, the quantitative evaluation indicators for coking coal scoring include, but are not limited to, the aforementioned indicators. They can be determined based on regional characteristics and advantages, as well as the specific conditions of coking production, such as coke oven type, top charging, and tamping.

[0047] Compared with the prior art, the beneficial technical effects of the present invention are as follows:

[0048] This invention provides a multi-dimensional method for evaluating coking coal, effectively addressing the problem that a relatively simple classification of coking coal lacks sufficient guidance for blending and coking. Driven by the contradiction between the scarcity of coal resources and the rigid demand for high-quality coking coal, as well as market economic interests, the coking coal market suffers from severe blending practices, significantly impacting the proper use of coking coal and severely restricting the quality and cost of metallurgical coke. This invention scientifically evaluates the application of coking coal, improving its utilization efficiency, expanding coking coal resources, conserving and protecting high-quality coking coal, optimizing the coal blending technology structure, and reducing coking blending costs, resulting in significant economic and social benefits. Attached Figure Description

[0049] The present invention will be further described below with reference to the accompanying drawings.

[0050] Figure 1 This is a petrographic analysis diagram of Shanxi coking coal.

[0051] Figure 2 This is a petrographic analysis diagram of coking coal No. 2;

[0052] Figure 3 Petrofacies analysis diagram of coking coal from Mongolia;

[0053] Figure 4 A petrographic analysis diagram of lean coal in Shanxi Province;

[0054] Figure 5 This is a petrographic analysis diagram of high-sulfur prime coking coal in Wuhai.

[0055] Figure 6 This is a petrographic analysis diagram of gas and coal in Mongolia.

[0056] Figure 7 Gibbs flowability analysis of Shanxi coking coal

[0057] Figure 8Gibbs mobility analysis of high-sulfur coking coal in the Wuhai area;

[0058] Figure 9 The Gibbs flowability analysis chart for Shanxi prime coking coal;

[0059] Figure 10 This is a Gibbs flowability analysis chart for Mongolian prime coking coal. Detailed Implementation

[0060] To enable those skilled in the art to better understand the present invention, the present invention will be further described in detail below with reference to specific embodiments.

[0061] A method for evaluating coking coal from multiple dimensions is presented below, with its basic principles and approach as follows:

[0062] Basic principles and ideas 1. Coking coal is a non-renewable, one-time mineral energy produced by ancient plants in ancient geographical environments through hundreds of millions of years of complex physical, chemical, physicochemical, biological, and geographical processes. Therefore, coking coal is not a single substance but has a complex composition and structure. The complexity of its formation process and structural composition determines the complexity and diversity of coking coal evaluation.

[0063] Basic principles and ideas 2: The basic properties of single coking coal (moisture, ash, volatile matter, sulfur and caking index) are no longer suitable for and can meet the needs of performance evaluation of single coking coal and coking coal blending and production requirements.

[0064] Basic principle and approach 3: From a mineralogical perspective, coking coal is a rock with special properties, so it can be analyzed and studied using microlithography methods and theories.

[0065] Basic principles and ideas 4: The evaluation of coking coal is based on its application, that is, the role and manifestation of the performance of the coking process. Its core function lies in the balance of the quantity and quality of the plastic body produced by coking coal during the smelting and coking process.

[0066] The basic principle and approach 5: The functional indicators for evaluating coking coal should be multi-dimensional and three-dimensional in terms of evaluation and classification.

[0067] Basic principles and ideas 6: In the evaluation of coking coal, the coal-forming age and coal-forming region are important factors to consider and should be given sufficient attention.

[0068] To implement a multi-dimensional evaluation method for coking coal, the implementation steps can be summarized as follows: comprehensive and coordinated consideration, evaluation as the foundation and application as the key, establishment of evaluation levels, and quantitative evaluation through scoring. The specific implementation steps are as follows:

[0069] Step 1: Comprehensive and coordinated consideration;

[0070] Furthermore, the evaluation of coking coal should be comprehensive and practical, taking into account the coal-forming age and environment, and comprehensively considering the quality and cost of blended coking.

[0071] Step 2: Evaluation as the foundation, application as the key;

[0072] Furthermore, the evaluation of coking coal is fundamental, and its application is the core and of paramount importance.

[0073] Step 3: Construct a multi-level, multi-dimensional evaluation methodology system, in which the evaluation dimensions complement each other and work synergistically in application;

[0074] Furthermore, the evaluation of coking coal establishes multiple dimensions to achieve a comprehensive evaluation of coking coal from multiple perspectives, including its formation, performance, and applications.

[0075] Furthermore, the first dimension of coking coal evaluation is the qualitative dimension. Based on the national technical standard "Chinese Coal Classification GB / T5751", the basic properties of coking coal are determined by using the main technical parameters of volatile matter and caking index (G) of this technical standard, supplemented by the maximum thickness of the plastic layer (Y) and the degree of expansion (b).

[0076] Furthermore, the second dimension of coking coal evaluation is the strength dimension, which mainly uses mechanical strength and thermal properties as evaluation indicators. The main technical parameters include crushing strength (M40), abrasion resistance (M10), thermal reactivity (CRI), and post-reaction strength (CSR).

[0077] Furthermore, the third dimension of coking coal evaluation is the microscopic dimension, which uses relevant technical parameters of coking coal petrographic analysis as evaluation indicators. The main technical parameters include the maximum reflectance of vitrinite, standard deviation, and coal quality distribution bar chart.

[0078] Furthermore, the coal quality distribution bar chart of coking coal petrographic analysis should be combined with the distribution ratio of different coal quality properties, and necessary interval ranges or specific value ranges should be set according to the coal formation age and coal quality classification of coking coal.

[0079] Furthermore, the fourth dimension of coking coal evaluation is the intrinsic composition dimension, which mainly uses the Gibbs freeness, ash content evaluation index and active-inert ratio in petrographic analysis as evaluation indicators.

[0080] Furthermore, the main technical parameters of Gibbs freeness of coking coal include five parameters: initial softening temperature (IST), maximum freeness temperature (MFT), solidification temperature (ST), maximum freeness (MF), and flow range (RF).

[0081] Furthermore, when evaluating the fourth dimension of coking coal performance, the intrinsic composition dimension, the main technical parameters of Gibbs freeness should be combined with the maximum thickness of the plastic layer (Y) and the type of plastic layer curve.

[0082] Furthermore, the fifth dimension of coking coal evaluation is the application dimension;

[0083] Furthermore, the evaluation of coking coal application dimensions mainly reflects its thermal properties, namely the thermal reactivity (CRI) and post-reaction strength (CSR) of coking coal.

[0084] Furthermore, the evaluation of coking coal applications primarily reflects its thermal properties;

[0085] Step 4: Conduct a comprehensive analysis of the performance of coking coal resources within a reasonable regional radius;

[0086] Furthermore, its indicators include, but are not limited to, ash content, sulfur content, volatile matter, caking index (G), maximum thickness of the colloid (Y), post-reaction strength (CSR), ash content evaluation index, and Gibbs maximum flowability (α). max ), lithofacies standard deviation (SR) and Oya expansion (b).

[0087] Step 5: Functional evaluation of coking coal resources within a reasonable regional radius;

[0088] Furthermore, the functional indicators of coking coal resources mainly cover coking function, caking function, ash reduction function, sulfur reduction function, and volatile matter stabilization function.

[0089] Furthermore, the roles of each coking coal type within a reasonable radius in the overall coal blending are clearly defined;

[0090] Step 6: Subdivide single types of coking coal within a reasonable radius based on the requirements for quality and cost of metallurgical coke production and functional indicators;

[0091] Furthermore, coking coal is subdivided into three levels. The first level is based on functional indicators, which are divided into coking coal, caking coal, ash-reducing coal, sulfur-reducing coal, and volatile matter-stabilizing coal.

[0092] Furthermore, the second level of classification is based on the Chinese coking coal classification standard, dividing coking coal into 12 major categories, including lean coal, semi-lean coal, lean coal, coking coal, fat coal, 1 / 3 coking coal, gas-fat coal, gas coal, 1 / 2 medium-caking coal, weakly caking coal, non-caking coal, and long-flame coal.

[0093] Furthermore, based on the requirements for quality and cost of metallurgical coke production and functional indicators, the single type of coking coal within a reasonable regional radius is further subdivided as the third level of coking coal subdivision, such as lean coal 1#, lean coal 2#, lean coal 3#, etc.

[0094] Furthermore, the third level of coking coal subdivision is mainly based on the functional role played by metallurgical coke under the production quality and cost. It can be divided into several categories according to production needs, and can be revised and improved according to the needs of production quality and cost.

[0095] Step 7: Assign scores and conduct quantitative evaluation;

[0096] Furthermore, the scoring principles for coking coal evaluation follow the principles of objectivity, convenience, and practicality;

[0097] Furthermore, the quantitative evaluation of coking coal composition mainly uses qualitative, intensity, and internal structural indicators as evaluation indicators.

[0098] Furthermore, the quantitative evaluation of coking coal composition is one aspect of the characterization technology of this patent, but not the entirety of the technology;

[0099] Furthermore, the main technical indicators for quantitative evaluation of coking coal composition, which distinguish coking coal types based on volatile matter content;

[0100] Furthermore, the main indicators for quantitative evaluation of coking coal composition include ash content, sulfur content, caking index (G), post-reaction strength (CSR), catalytic evaluation index, and Gibbs maximum fluidity (α). max ), Lithofacies standard deviation (SR), and Oya expansion (b);

[0101] Furthermore, the quantitative evaluation indicators for coking coal scoring include, but are not limited to, the aforementioned indicators, and can be determined based on regional characteristics and advantages as well as the specific conditions of coking production (coke oven type, top charging, and tamping, etc.).

[0102] The present invention will be further described in detail below with reference to specific embodiments.

[0103] This embodiment uses the metallurgical coke production process of a 7-meter top-mounted coke oven in a large iron and steel complex in central and western my country to evaluate the coking coal used. Using the technology of this patent, it further elaborates on a method for multi-dimensional evaluation of coking coal.

[0104] The scientific, precise, and efficient use of coking coal to produce economical and high-quality metallurgical coke relies on the evaluation of coking coal as its foundation and its production and application as its core. This involves a multi-dimensional evaluation methodology system that considers the formation, performance, and application of coking coal.

[0105] The quality performance indicators of the metallurgical coke produced by this enterprise are shown in Table 1.

[0106] Table 1 Quality performance indicators (%) of metallurgical coke

[0107] numerical values 0.2 12.87 1.19 0.8 89.7 5.2 23.7 69.1

[0108] The types of coking coal used by the company and their main performance indicators are shown in Table 2.

[0109] Table 2. Types and main performance indicators of coking coal

[0110] Shanxi Coal Shanxi 24.20 10.04 1.39 90 27.0 2.08 73.5 1916 0.094 80 Coal Fertilizer 1 Shanxi 24.72 10.55 1.40 87 26.0 2.14 68.9 1800 0.118 77 Coal 2 Wuhai 28.37 9.87 1.92 92 28.5 3.27 67.3 40382 0.102 180 Shanxi Coking Coal 1 Shanxi 18.36 10.02 1.30 65 17.0 2.27 64.7 531 0.161 96 Gujiao lean coking coal Shanxi 17.87 10.52 1.27 60 14.5 2.83 63.6 20 0.12 only shrink Shanxi lean coal Shanxi 15.73 10.28 0.64 16 —— 3.17 —— 0.142 Shanxi Coking Coal 2 Shanxi 19.92 10.81 1.24 71 21.0 2.54 73.1 487 0.154 80 Mongolian coking coal Mongolia 23.58 10.15 0.62 83 19.0 3.46 66.3 1045 0.090 35 Inner Mongolia 1 / 3 high-sulfur coking coal Inner Mongolia 32.78 8.57 1.98 94 24.5 2.84 72.3 0.08 109 Xinjiang gas coal Xinjiang 35.38 6.00 0.55 50 9.0 4.87 4.1 0.108 only shrink Mongolian gas coal Mongolia 34.58 7.15 0.68 55 11.0 3.80 0 0.107 only shrink Mongolian 1 / 3 coking coal Mongolia 34.27 9.23 0.68 67 14 2.97 62 303 0.127 97 Inner Mongolia high-sulfur prime coking coal Inner Mongolia 27.85 9.47 1.98 92 23.5 2.67 72.3 497 0.097 138

[0111] Based on the national technical standard "Classification of Chinese Coal GB / T5751", the basic properties of coking coal are determined by using the main technical parameters of volatile matter and caking index (G), supplemented by the maximum thickness of the plastic layer (Y) and the degree of expansion (b) of the plastic layer, as qualitative dimensions for the evaluation of coking coal, and the basic classification attributes of coking coal are determined.

[0112] The strength dimension of coking coal evaluation mainly uses mechanical strength and thermal properties as evaluation indicators. The main technical parameters include crushing strength (M40), abrasion resistance (M10), thermal reactivity (CRI), and post-reaction strength (CSR). The main performance indicators are shown in Table 3.

[0113] Table 3. Intensity Dimensions for Coking Coal Evaluation

[0114] Shanxi Coal Shanxi 82.4 11.8 19.8 73.5 Coal Fertilizer 1 Shanxi 80.7 12.9 21.4 68.9 Coal 2 Wuhai 80.4 13.7 26.7 67.3 Shanxi Coking Coal 1 Shanxi 81.2 11.6 28.4 64.7 Gujiao lean coking coal Shanxi 71.2 17.6 27.8 63.6 Shanxi lean coal Shanxi —— —— —— —— Shanxi Coking Coal 2 Shanxi 63.4 22.9 20.7 73.1 Mongolian coking coal Mongolia 60.7 23.4 23.9 66.3 1 / 3 high-sulfur coking coal Inner Mongolia 63.5 21.7 21.3 72.3 Xinjiang gas coal Xinjiang —— —— —— —— Mongolian gas coal Mongolia —— —— —— —— Mongolian 1 / 3 coking coal Mongolia 51.3 37.6 26.4 62.0 High-sulfur prime coking coal Inner Mongolia 59.4 30.7 20.3 72.3

[0115] The third dimension of coking coal evaluation is the microscopic dimension, which uses relevant technical parameters of petrographic analysis as evaluation indicators. Key technical parameters include the maximum reflectance of the vitrinite group, standard deviation, and coal quality distribution bar chart. Typical petrographic analysis diagrams are shown below. Figures 1 to 6 As shown.

[0116] The coal quality distribution bar chart for coking coal petrographic analysis should combine the distribution ratio of different coal properties and set necessary interval ranges or specific value ranges according to the coal formation age and coal quality classification of coking coal.

[0117] The fourth dimension of coking coal evaluation is the intrinsic composition dimension, mainly using Gibbs freeness, ash composition catalytic evaluation index, and active-inert ratio in petrographic analysis as evaluation indicators; Gibbs freeness, such as... Figures 7 to 10 As shown.

[0118] When evaluating the fourth dimension of coking coal performance, the intrinsic composition dimension, the main technical parameters of Gibbs freeness should be combined with the maximum thickness of the plastic layer (Y) and the type of plastic layer curve.

[0119] A comprehensive analysis of the performance of coking coal resources within a reasonable radius is required; the indicators should include, but are not limited to, ash content, sulfur content, volatile matter, caking index (G), maximum thickness of colloids (Y), post-reaction strength (CSR), ash catalytic index (MIC), and maximum Gibbs freeness (α). max ), lithofacies standard deviation (SR) and Oya expansion (b).

[0120] Table 4 Performance Indicators of Single Types of Coking Coal

[0121] Xiaonan Coal Shanxi 25.58 10.25 1.27 92 27.5 2.14 73.5 1578 0.094 85 Hancheng lean coking coal Shaanxi 15.07 9.47 0.39 64 8.5 2.97 49.7 0.10 -12 Mongolian coking coal Mongolia 23.58 10.15 0.62 83 19.0 3.46 65.8 1045 0.090 35 1 / 3 coking coal Wuhai 38.76 10.34 0.98 85 27.0 3.57 38.76 300 0.08 101 Gas coal 1 Xinjiang 35.38 6.00 0.55 50 9.0 4.87 4.1 0 0.108 only shrink

[0122] Table 5 Performance Indicators of Single Types of Coking Coal

[0123] Shanxi Coal 1 Shanxi 10.01 24.91 1.01 92 27.5 1916 80 2.08 73 prime coking coal 1 Shanxi 11.55 28.49 0.64 87 21.5 487 76 2.17 72 Shanxi Coal 2 Shanxi 11.28 27.57 1.20 93 25.5 1879 77 2.14 72.5 Wuhai Coal Wuhai 9.77 30.50 1.45 92 26.0 40382 94 2.37 68.5 Lüliang lean coal Shanxi 10.06 19.89 1.21 65 8.0 —— -12 2.83 61.7 Wuhai prime coking coal Wuhai 10.87 20.24 1.64 85 17.5 2240 35 3.18 68.8 High-quality 1 / 3 coking coal Wuhai 10.12 30.27 0.86 93 21.5 3065 101 3.27 69.7 Gas coal 2 Xinjiang 5.63 38.76 0.36 55 15.0 —— only shrink 4.13 10.5

[0124] Table 6. Main Technical Indicators of High-Sulfur Lean Coal in Shanxi Province

[0125] Shanxi lean coal 2.5 16.98 8.13 2.46 62 13.5 2.54 50.7 —— 0.075 20 Shanxi lean coal 2.8 18.79 8.54 2.78 57 10.5 3.17 46.6 —— 0.082 only shrink

[0126] Based on the functional evaluation of coking coal resources within the above reasonable area radius in terms of coking function, caking function, ash reduction function, sulfur reduction function, and volatile matter stabilization function, the specific results are shown in Table 7.

[0127] Table 7 Functional Classification of Coking Coal

[0128] Coking function Malan, Xiaonan fat coal, Mongolian coking coal, prime coking coal 1, Shanxi coking coal 1, Shanxi coking coal 2, Wuhai prime coking coal Adhesive function Zhonghai Coal Fertilizer, Xiaonan Coal Fertilizer, Wuhai Coal Fertilizer, High-Quality 1 / 3 Coking Coal, Wuhai 1 / 3 High-Sulfur Coking Coal Gray reduction function High-quality 1 / 3 coking coal, Wuhai 1 / 3 coking coal, gas coal 1, gas coal 2, Xinjiang gas coal Sulfur reduction function Gas coal 1, Gas coal 2, Mongolian gas coal, Xinjiang gas coal Stable volatility function Hancheng lean coking coal, Gujiao lean coal, Lüliang lean coal, Shanxi lean refined coal 2.5, Shanxi lean refined coal 2.8

[0129] The coking coal types within a reasonable radius are further subdivided based on the requirements for quality and cost in metallurgical coke production and functional indicators.

[0130] Furthermore, coking coal is subdivided into three levels. The first level is based on functional indicators, categorized into coking coal, caking coal, ash-reducing coal, sulfur-reducing coal, and volatile matter-stabilizing coal. Several categories can be further defined based on production needs, and these can be revised and improved according to production quality and cost requirements. Combining the production quality and cost of metallurgical coke, and based on the functional classification of individual coking coal types, the framework coal, basic coal, and replacement coal types for coke production are determined. The specific classification is shown in Table 8.

[0131] Table 8. Detailed breakdown of single types of coking coal

[0132] Malan Shanxi coking coal Coal No. 1 Skeleton coal CNOOC Coal Shanxi coking coal Coal Fen Replacement of coal type Wuhai Coal Wuhai coking coal Coal No. 2 Replacement of coal type Shanxi Coking Coal 1 Shanxi coking coal Coking Coal No. 2 Basic coal types Gujiao lean coking coal Shanxi lean coal Lean Coal #1 Basic coal types Shanxi Coking Coal 2 Shanxi coking coal Jiao 1# Skeleton coal Mongolian coking coal Mongolia coking coal Coking Coal No. 1 Skeleton coal Wuhai 1 / 3 coking coal Wuhai 1 / 3 coking coal 1 / 3 coking coal #1 Basic coal types Xinjiang gas coal Xinjiang gas coal Gas coal No. 1 Skeleton coal Mongolian gas coal Mongolia gas coal Gas coal No. 3 Replacement of coal type Lean coal 2.5 Shanxi lean coal Lean Coal #3 Replacement of coal type Lean coal 2.8 Shanxi lean coal Lean Coal #4 Replacement of coal type Shanxi Coal 1 Shanxi coking coal Coal No. 1 Basic coal types prime coking coal 1 Shanxi coking coal Coking Coal No. 2 Basic coal types Shanxi Coal 2 Shanxi coking coal Coal No. 2 Basic coal types Lüliang lean coal Shanxi lean coal Lean Coal #1 Replacement of coal type Wuhai prime coking coal Wuhai coking coal Coking Coal #3 Replacement of coal type High-quality 1 / 3 high-sulfur coking coal Wuhai 1 / 3 coking coal 1 / 3 coking coal #1 Skeleton coal Gas coal 2 Xinjiang gas coal Gas coal No. 2 Replacement of coal type Xiaonan Coal Shanxi coking coal Coal No. 2 Replacement of coal type Hancheng lean coking coal Shaanxi lean coal Lean Coal #2 Replacement of coal type Mongolian coking coal Mongolia coking coal Coking coal #4 Basic coal types 1 / 3 coking coal Wuhai 1 / 3 coking coal 1 / 3 coking coal #2 Basic coal types Gas coal 1 Xinjiang gas coal Gas coal No. 1 Replacement of coal type

[0133] Based on regional principles, functional classification, and coal blending principles for coke quality and economic efficiency, a database of single coking coal varieties will be constructed. The database will be dynamically updated, continuously supplemented, revised, and improved based on the development and utilization of coal information, thus constructing a regional coking coal database.

[0134] Based on the content of this patent, a quantitative evaluation using a scoring system is conducted on the coking coal used in the metallurgical coke production process of a large integrated iron and steel enterprise with a top-mounted 7-meter coke oven.

[0135] The quantitative evaluation of coking coal uses qualitative dimension Y, intensity dimension T, and internal structure dimension N as the main evaluation indicators; it adopts a single-dimensional indicator evaluation and the evaluation score is summed, i.e. Q=Y+T+N;

[0136] The main technical indicators for quantitative evaluation of coking coal, which distinguish coking coal types based on volatile matter content, are not included as evaluation score items.

[0137] The qualitative dimension Y mainly includes ash content, sulfur content, and adhesion index (G); the strength dimension T mainly includes post-reaction strength (CSR) and abrasion resistance (M10); the internal structure dimension N mainly includes catalytic evaluation index (MIC) and Gibbs maximum flowability (α). max ), lithofacies standard deviation (SR) and, Oya expansion (b).

[0138] Due to the regional specificity of coking coal resources and the differences in coke oven smelting characteristics, the scoring of the above indicators can be assigned according to the specific circumstances of the enterprise.

[0139] The quantitative evaluation indicators for coking coal scoring include, but are not limited to, the indicators mentioned above. They can be determined based on regional characteristics and advantages, as well as the specific conditions of coking production (coke oven type, top charging, and tamping, etc.).

[0140] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made by those skilled in the art to the technical solutions of the present invention without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. A method for multi-dimensional evaluation of coking coal, characterized in that: include: The evaluation of coking coal establishes multiple dimensions, comprehensively assessing coking coal from multiple perspectives, including its formation, performance, and applications. The first dimension of coking coal evaluation is the qualitative dimension. Based on the national technical standard "Chinese Coal Classification GB / T5751", the main technical parameters of coking coal are classified according to this technical standard, including volatile matter and caking index G, supplemented by the maximum thickness of the plastic layer Y and the degree of expansion b, to determine the basic properties of coking coal. The second dimension of coking coal evaluation is the strength dimension, which mainly uses mechanical strength and thermal properties as evaluation indicators. The main technical parameters include crush resistance strength M40, abrasion resistance strength M10, thermal reactivity CRI and post-reaction strength CSR. The third dimension of coking coal evaluation is the microscopic dimension, which uses relevant technical parameters of coking coal petrographic analysis as evaluation indicators. The main technical parameters include the maximum reflectance of vitrinite, standard deviation, and coal quality distribution bar chart. The fourth dimension of coking coal evaluation is the internal composition dimension, which mainly uses the Gibbs freeness, ash composition catalytic index and active-inert ratio in petrographic analysis as evaluation indicators. The fifth dimension of coking coal evaluation is the application dimension. The main way to evaluate the application dimension of coking coal is through thermal properties, specifically including: thermal reactivity (CRI) and post-reaction strength (CSR). A comprehensive analysis of the performance of coking coal resources within a reasonable radius: Its indicators include, but are not limited to, ash content, sulfur content, volatile matter, bonding index G, maximum thickness of colloid Y, post-reaction strength CSR, ash content evaluation index, Gibbs maximum fluidity αmax, petrographic standard deviation SR, and Auermann expansion b. Functional evaluation of coking coal resources within a reasonable radius: The functional indicators of coking coal resources mainly cover coking function, caking function, ash reduction function, sulfur reduction function, and volatile matter stabilization function; Clearly define the roles of each coking coal type within a reasonable radius in the overall coal blending; Based on the requirements for quality and cost in metallurgical coke production and functional indicators, the following sub-categories of single types of coking coal are analyzed within a reasonable regional radius: Coking coal is further divided into three levels. The first level is based on functional indicators, which includes coking coal, caking coal, ash-reducing coal, sulfur-reducing coal, and volatile matter-stabilizing coal. The second level of classification is based on the Chinese coking coal classification standard, which divides coking coal into 12 major categories, including lean coal, semi-lean coal, lean coal, coking coal, fat coal, 1 / 3 coking coal, gas-fat coal, gas coal, 1 / 2 medium-caking coal, weakly caking coal, non-caking coal, and long-flame coal. Combining the requirements for quality and cost in metallurgical coke production with functional indicators, the third level of subdivision of coking coal is defined as the subdivision of single types of coking coal within a reasonable regional radius. Step 6: Assign scores and conduct quantitative evaluation; The scoring principles for coking coal evaluation follow the principles of objectivity, convenience, and practicality. The quantitative evaluation of coking coal uses qualitative, intensity, and internal structural indicators as the main evaluation indicators. The main technical indicators for quantitative evaluation of coking coal, distinguishing coking coal types by volatile matter content; The main indicators for quantitative evaluation of coking coal composition include ash content, sulfur content, caking index G, post-reaction strength CSR, catalytic evaluation index, Gibbs maximum fluidity αmax, petrographic standard deviation SR, and Auermann expansion degree b.

2. The method for multi-dimensional evaluation of coking coal according to claim 1, characterized in that: The coal quality distribution bar chart for coking coal petrographic analysis should combine the distribution ratio of different coal properties and set necessary interval ranges or specific value ranges according to the coal formation age and coal quality classification of coking coal.

3. The method for multi-dimensional evaluation of coking coal according to claim 1, characterized in that: The main technical parameters of Gibbs freeness of coking coal include five parameters: initial softening temperature (IST), maximum freeness temperature (MFT), solidification temperature (ST), maximum freeness (MF), and flow range (RF).

4. The method for multi-dimensional evaluation of coking coal according to claim 1, characterized in that: When evaluating the fourth dimension of coking coal performance, the intrinsic composition dimension, the main technical parameters of Gibbs freeness should be combined with the maximum thickness Y of the plastic layer and the type of plastic layer curve.

5. The method for multi-dimensional evaluation of coking coal according to claim 1, characterized in that: The third level includes at least lean coal No. 1, lean coal No. 2, and lean coal No.

3.

6. The method for multi-dimensional evaluation of coking coal according to claim 1, characterized in that: The third level of coking coal classification is mainly based on the functional role played by metallurgical coke in terms of production quality and cost. It can be divided into several categories according to production needs and can be revised and improved according to production quality and cost requirements.

7. The method for multi-dimensional evaluation of coking coal according to claim 1, characterized in that: The quantitative evaluation indicators for coking coal can be determined based on regional characteristics and advantages, as well as the specific conditions of coking production, including coke oven type, top charging, and tamping.

Images