An evaluation method for quality index of coal-rock distribution state of a single type of coal

Abstract

The present invention belongs to the technical field of steel production, and specifically relates to an evaluation method for the quality index of the coal-rock distribution state of a single type of coal, 1. Select a certain quality index, find out the main correlation between each interval and this quality index; use historical data for screening, compare the Rran0.90-1.53 ​​distribution value and the quality index relationship, determine the two most relevant quality indicators, and compare the mechanical strength and post-reaction strength with the vitrinite Rran0.90-1.53 ​​distribution value of the coal type through data comparison; 2. Carry out a correspondence test, record and organize the test data, analyze the coal-rock distribution status of a single type of coal, the mechanical strength and post-reaction strength of a single type of coal after coking, and establish a corresponding quality account; 3. Establish a mathematical relationship 4. Verify the relationship between the coal-rock index of a single type of coal and the post-reaction strength of a single type of coal, and the correlation reaches more than 0.85. The coal-rock analysis state of a single type of coal can be simply and clearly reflected.

Description

Technical Field

[0001] The invention belongs to the technical field of steel production, and in particular relates to an evaluation method for quality indicators of a single type of coal and coal rock distribution state. Background Art

[0002] In the results of coal rock analysis (coal vitrinite water mechanical reflectance distribution), there are many relevant data for evaluating the quality status of a single type of coal, among which the calculation results of the Rran section of coal are distributed in two or three areas. Especially now, the mixed coal of a single type of coal is very serious, and sometimes the distribution area reaches 4 or 5 areas. This makes it difficult to evaluate the results of coal rock analysis. Now the coal rock analysis of coking coal can reflect the mixed coal state of a single type of coal, but the current analysis data does not quantify and comprehensively distinguish the coal quality state. It is difficult to compare the coal rock analysis results of each single type of coal of the same coal, and it is impossible to achieve an accurate state. Summary of the invention

[0003] In order to solve the above problems, the present invention provides an evaluation method for the quality index of the coal-rock distribution state of a single type of coal, selects the quality index with a greater correlation with the coal-rock distribution of a single type of coal, and determines the mathematical relationship between the coal-rock distribution of a single type of coal and this quality. The coal-rock distribution comprehensive index reflecting the coal-rock analysis state of a single type of coal can simply and clearly reflect the coal-rock analysis state of a single type of coal. Changing the redundant description of the coal-rock analysis results is conducive to describing the quality of a single type of coal and distinguishing the quality of a single type of coal. At the same time, the data has good use for coal blending calculations.

[0004] The technical solution adopted by the present invention is: a method for evaluating the quality index of the distribution state of a single type of coal and coal rock, the evaluation method comprising the following steps:

[0005] Step 1: Select a quality indicator and find out the main correlation between each interval and this quality indicator;

[0006] Select the quality index of a single type of coal, such as the maximum thickness of the colloid layer, bonding index, mechanical strength or post-reaction strength;

[0007] Using historical data for screening, comparing the relationship between the Rran0.90--1.53 ​​distribution value and quality indicators, we determined the two most relevant quality indicators. Through data comparison, mechanical strength (M25) and post-reaction strength (CSR) were found to be most relevant to the vitrinite Rran0.90--1.53 ​​distribution value of coal.

[0008] Step 2: Conduct a corresponding test, record and organize the test data, analyze the coal rock distribution of a single type of coal, the mechanical strength and post-reaction strength of a single type of coal after coking, and establish a corresponding quality record;

[0009] Step 3: Establish mathematical relationships

[0010] The relationship between the coal-rock distribution value and the quality index (or correlation coefficient) is determined by the least square method; the coal-rock distribution comprehensive index is determined by the sum of the products of the new coal-rock distribution interval data and the corresponding correlation coefficient;

[0011] Step 4: Verify the relationship between the coal rock index of a single coal and the strength of a single coal after reaction, and the correlation reaches above 0.85.

[0012] Beneficial effects of the present invention: Provides a method for evaluating the quality index of the distribution state of a single type of coal and coal rock, selects a quality index with a greater correlation with the distribution of a single type of coal and coal rock, and determines the mathematical relationship between the distribution of a single type of coal and coal rock and this quality. The coal rock distribution comprehensive index reflecting the analysis state of a single type of coal and coal rock can simply and clearly reflect the analysis state of the coal and coal rock of a single type of coal. Changing the redundant description of the coal and rock analysis results is conducive to describing the quality of a single type of coal and distinguishing the quality of a single type of coal, and at the same time the data has good use for coal blending calculations. DETAILED DESCRIPTION

[0013] A method for evaluating quality indicators of a single type of coal and coal-rock distribution state comprises the following steps:

[0014] Step 1: Select a quality indicator and find out the main correlation between each interval and this quality indicator;

[0015] Using historical data for screening, comparing the relationship between the Rran0.90--1.53 ​​distribution value and quality indicators, we determined the two most relevant quality indicators. Through data comparison, mechanical strength (M25) and post-reaction strength (CSR) were found to be most relevant to the vitrinite Rran0.90--1.53 ​​distribution value of coal.

[0016] Step 2: Conduct a corresponding test, record and organize the test data, analyze the coal rock distribution of a single type of coal, the mechanical strength and post-reaction strength of a single type of coal after coking, and establish a corresponding quality record (taking coking coal as an example, see the following table);

[0017]

[0018] Step 3: Establish mathematical relationships

[0019] The relationship between the coal-rock distribution value and the quality index (or correlation coefficient) is determined by the least square method; the coal-rock distribution comprehensive index is determined by the sum of the products of the new coal-rock distribution interval data and the corresponding correlation coefficient;

[0020] Step 4: Verify the relationship between the coal rock index of a single coal and the strength of a single coal after reaction, and the correlation reaches above 0.85.

[0021] From coal petrology, we know that in the coal petrology distribution range, the coking state of a single type of coal in different intervals is different. In the same interval, the microstructure of the coal is roughly the same. After being converted into coke, the optical structure of the coke is the same, that is, the coking quality state is the closest. Therefore, the coal petrology distribution in coal petrology analysis can best reflect the quality state of a single type of coal, or in other words, it is most relevant to the quality state of coke. This evaluation method uses this most basic relationship and quantifies this relationship. The following is the verification of the correlation of production data:

[0022]

[0023]

[0024]

[0025]

[0026] Through the calculation of the above corresponding data, the coal-rock index of a single type of coal and the post-reaction strength index have a good correlation, which can be used to reflect the overall state of the distribution of a single type of coal and coal.

Claims

1. A method for evaluating the quality index of the distribution state of a single type of coal and coal rock, characterized by: The evaluation method comprises the following steps: Step 1: Select a quality indicator and find out the main correlation between each interval and this quality indicator; By using historical data for screening, the relationship between the Rran0.90--1.53 ​​distribution value and the quality index is compared, and the two most relevant quality indexes are determined. Through data comparison, mechanical strength and post-reaction strength are most relevant to the vitrinite Rran0.90--1.53 ​​distribution value of coal. Step 2: Conduct a corresponding test, record and organize the test data, analyze the coal rock distribution of a single type of coal, the mechanical strength and post-reaction strength of a single type of coal after coking, and establish a corresponding quality record; Step 3: Establish mathematical relationships The relationship between the coal-rock distribution value and the quality index is determined by the least square method; the coal-rock distribution comprehensive index is determined by the sum of the products of the new coal-rock distribution interval data and the corresponding correlation coefficients; Step 4: Verify the relationship between the coal rock index of a single coal and the strength of a single coal after reaction, and the correlation reaches above 0.85; In the step 1, the quality index of a single type of coal also includes the maximum thickness of the colloid layer or the bonding index.

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