Method and device for controlling coke quality by using coal petrographic parameters and caking index

Abstract

The present application provides a method and device for controlling coke quality by using coal petrography parameters and caking index, which comprises the following steps: coal petrography quantitative analysis, calculation of single coal inert component content I c , calculation of blending coal inert component content TI, calculation of theoretical caking index G c of single coal active component, calculation of single coal active petrography component content R c , calculation of blending coal active component coking capacity RCI, coking experiment and equal intensity curve; two blending coal indexes calculated by using coal petrography quantitative analysis and caking index test results are made to fall on the required coke quality by using four equal intensity curves; and the purpose of controlling and improving coke quality is achieved by providing effective guidance for coking blending coal through the definition and calculation of inert component content TI and active component coking capacity RCI in blending coal based on coal petrography parameters and caking index data.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of coking process, in particular to a method and device for controlling coke quality by using coal petrography parameters and caking index. BACKGROUND

[0002] The current coal blending technology mainly relies on the experience-based coal blending method, which is based on the classification of Chinese coal (GB / T 5751-2009) to divide coal into different categories, and then selects gas coal, gas-fat coal, 1 / 3 coking coal, fat coal, coking coal and lean coal for blending according to different categories. However, the Chinese coal classification does not finely characterize the coking coal, and the properties of the same category of coal are only generally the same, resulting in low precision of coal blending. In addition, the resources of high-quality coking coal are increasingly scarce in China, leading to increasingly serious and frequent mixed coal phenomenon, resulting in large differences in coking characteristics of the same category of coal, which greatly interferes with the coal blending work and causes fluctuations in coke quality.

[0003] According to the viewpoint of coal petrography, any kind of coal is a natural mixed coal. The coking coal blending process is a process of controlling the fusible components and inert components in the blended coal to a suitable proportion. In the coking process, the fusible components and inert components in the coal particles are in a colloidal state, and the fusible components and inert components do not penetrate each other.

[0004] A method for controlling stable production of coking coal blending is disclosed in Chinese patent CN201710728161.6, which proposes a method for controlling the stability of coking coal blending by using coal petrography parameters. The parameters used include vitrinite reflectance distribution and proportion of each reflectance interval, and organic inert group content. The vitrinite coking index VCP is calculated based on the vitrinite reflectance distribution level of the blended coal as a control parameter.

[0005] A coal petrography coal blending method suitable for stamp-charged coking is disclosed in Chinese patent CN201210314984.1, which proposes a stamp-charged coke oven coal blending method for calculating the active-inert ratio A / I of single coal by using random reflectance and distribution of vitrinite group and coal petrography maceral, and controlling the Y value of the blended coal. This method only calculates the active-inert ratio of the coal petrography maceral, and does not deeply explore the coal petrography characteristic parameters. SUMMARY

[0006] In order to solve the technical problems in the background art, the present application provides a method and device for controlling coke quality by using coal petrography parameters and caking index. Based on the coal petrography parameters and caking index data, the definition and calculation of the inert component content (TI) and the coking ability of the active component (RCI) in the blended coal provide effective guidance for coking coal blending, and achieve the purpose of controlling and improving coke quality.

[0007] In order to achieve the above object, the present application adopts the following technical solutions:

[0008] A method for controlling coke quality by using coal petrographic parameters and caking index, comprising the following steps:

[0009] Step 1: Quantification of coal maceral

[0010] The contents of vitrinite V, inertinite I, exinite E and mineral M in each single coal are tested;

[0011] Step 2: Calculation of inert component content I of single coal c

[0012] The inert component content I of single coal c is an inherent leaner in the coking process, and is an important index affecting the properties of coking coal; the inert component content of single coal is calculated according to formula (1):

[0013] I c = I + M …… (1)

[0014] Step 3: Calculation of inert component content TI of blended coal

[0015] The inert component content TI of blended coal is weightedly calculated according to the inert component contents of each single coal in the blended coal; the inert component content TI of blended coal is calculated according to formula (2):

[0016] TI = I c1 × X1 + I c2 × X2 + … + I cn × X n …… (2)

[0017] In the formula: I c1 , Ic2, … I cn are the inert component contents of each single coal;

[0018] X1, X2, … X n are the blending ratios of each single coal;

[0019] Step 4: Calculation of theoretical caking index G of active component of single coal c

[0020] The caking index G of single coal is tested, and the caking index of 100% active component of the coal is obtained by extrapolation, that is, the theoretical caking index of the active component of single coal, as shown in formula (3):

[0021] G c = G / (1-I c ) …… (3)

[0022] In the formula: Gc- the theoretical caking index of the active component of single coal; ​​

[0023] G- measured value of the caking index of the single coal;

[0024] I c - content of the inert component of the single coal;

[0025] Step 5: calculation of the content R of the active maceral of the single coal c

[0026] Content R of the active maceral of the single coal c is calculated according to formula (4):

[0027] R c = V + E …… (4)

[0028] Step 6: calculation of the coking ability RCI of the active component of the blended coal

[0029] According to the theory of coal blending, the mass of the active component varies with the metamorphic degree, and the coking ability RCI of the active component is an index representing the mass of the active component in the blended coal, and the coking ability of the active component in the single coal is constructed by the theoretical caking index of the active component;

[0030] The coking ability RCI of the active component of the blended coal is calculated by the weighted average method:

[0031] RCI = (R c1 × G c1 + R c2 × G c2 + … + R cn × G cn ) / (1 - TI) …… (5)

[0032] In the formula: RCI- coking ability of the active component of the blended coal;

[0033] R c1 , R c1 , … R cn - content of the active component of each single coal;

[0034] G c1 , G c1 , … G cn - coking ability of each single coal;

[0035] TI- content of the inert component of the blended coal;

[0036] Step 7: coking experiment and equal intensity curve

[0037] The blended coal is tested by the test coke oven, and the crushing strength M 40 , the abrasion resistance M 10 of the coke is tested, hot reactivity CRI and strength after thermal reaction CSR; with the inert component content TI in the blended coal as the horizontal coordinate, the coking ability RCI of the active component as the vertical coordinate, the following four equal strength curves are drawn: coke equal crushing strength M 40 line, equal abrasion resistance strength M 10 line, equal hot reactivity CRI line and equal strength after thermal reaction CSR line.

[0038] Two blended coal indexes: the inert component content TI in the blended coal and the coking ability RCI of the active component, are calculated based on the coal maceral quantitative analysis and the caking index test results, a blended coal scheme is formulated, the four equal strength curves are used to make the two blended coal indexes fall on the required coke quality, and the coke quality is adjusted according to the two blended coal indexes, so that the blended coal scheme can be quickly adjusted and the coke quality can be accurately predicted.

[0039] Further, in step 1, according to GB / T 8899-2013 'Coal maceral group and mineral determination method', the coking coal sample is prepared into a coal sample light sheet, the sample is observed under a coal maceral microscope in an oil immersion reflection single polarization mode, the maceral and mineral in the coking coal are accurately identified, the test point number is ensured to be greater than or equal to 500 points, and the percentage of various macerals in each single coal, i.e. vitrinite V, inertinite I, exinite E and mineral M, is recorded.

[0040] The application further provides a device for realizing the method for controlling coke quality by using coal maceral parameters and caking indexes, comprising a processor and a memory connected with the processor; wherein the processor is configured to execute the method for controlling coke quality by using coal maceral parameters and caking indexes; and the memory is used for storing executable instructions of the processor.

[0041] The application further provides a computer storage medium, which stores a computer program, the computer program is executed by a processor, and realizes the method for controlling coke quality by using coal maceral parameters and caking indexes.

[0042] Compared with the prior art, the application has the following beneficial effects:

[0043] The view of coal blending thinks that the quality of coke is related to the suitable proportion of fusible component quality and inert component in blending coal, the quality of fusible component is expressed by coking ability of active component (RCI) of blending coal, and the proportion of inert component is expressed by inert component content (TI) of blending coal. The method for controlling coke quality by coal petrography parameters and caking index is based on quantitative test of coal petrography micro component and caking index data, scientifically quantifies coking ability of active component (RCI) of blending coal and calculates inert component content (TI) of blending coal by reasonably designing index and index algorithm, effectively overcomes the defects of current coking coal use and coking blending method, can provide quantitative guidance for formulating production blending scheme, and stabilizes and improves the quality of produced coke. The method is simple in operation, easy to realize, and reduces the raw material procurement cost of coking enterprises. BRIEF DESCRIPTION OF DRAWINGS

[0044] Figure 1 Schematic diagram for calculating theoretical caking index (Gc) of single coal active component;

[0045] Figure 2 Relationship diagram between coking ability (RCI) of blending coal active component, inert component content (TI) and coke crushing strength (M40);

[0046] Figure 3 Relationship diagram between coking ability (RCI) of blending coal active component, inert component content (TI) and coke abrasion resistance (M10);

[0047] Figure 4 Relationship diagram between coking ability (RCI) of blending coal active component, inert component content (TI) and coke thermal reactivity (CRI);

[0048] Figure 5 Relationship diagram between coking ability (RCI) of blending coal active component, inert component content (TI) and coke strength after coking (CSR);

[0049] Figure 6 Technical flow chart of the method. DETAILED DESCRIPTION

[0050] The specific embodiment of the present application is further described below in combination with the drawings:

[0051] The method for controlling coke quality by coal petrography parameters and caking index of the present application has a technical flow as shown in Figure 6 The method comprises the following steps:

[0052] Step 1: Quantitative test of coal petrography micro component

[0053] According to GB / T 8899-2013 "Determination of maceral group and mineral in coal", the coking coal sample is prepared into a coal sample slide, and the sample is observed under a coal microscope in an oil immersion reflection single polarized light mode, the maceral and mineral in the coking coal are accurately identified, the number of test points is ensured to be greater than or equal to 500 points, and the percentage of each single coal maceral, i.e. vitrinite (V), inertinite (I), exinite (E) and mineral (M) is recorded.

[0054] Step 2: Calculation of single coal inert component content (I c )

[0055] Single coal inert component content (I c ) is an independent index that is not affected by other properties, and acts as an inherent leaner in the coking process. c Single coal inert component content (I c ) is an important index affecting the properties of coking coal, especially for coal with uneven or unstable coal petrography composition. Single coal inert component content (I c ) is calculated according to formula (1):

[0056] I c1 =I+M……(Formula 1)

[0057] Step 3: Calculation of blended coal inert component content (TI)

[0058] The inert component content (TI) of the blended coal is calculated by weighting the inert component content of each single coal and the blending ratio. The inert component content (TI) of the blended coal is calculated according to formula (2):

[0059] TI=I c2 ×X2+……+I cn ×X n ……(Formula 2)

[0060] I c1 , Ic2, ……I cn - inert component content of each single coal;

[0061] X1, X2, ……X n - blending ratio of each single coal.

[0062] Step 4: Calculation of theoretical caking index (G c ) of single coal active component

[0063] According to GB / T 5447-2014 "Determination of coking index of bituminous coal", the caking index (G) of each single coal is tested by adding standard anthracite. Assuming that the inert component content is zero, the theoretical caking index (G c). The caking index of the coal with 100% active component (inert component is 0) is obtained by extrapolation, as shown in Table 1, i.e. the theoretical caking index of the active component of the single coal (G Figure 1 c ).

[0064] G c = G / (1-I c ) …… (Formula 3)

[0065] In the formula: Gc- the theoretical caking index of the active component of the single coal;

[0066] G- the measured value of the caking index of the single coal;

[0067] I c - the inert component content of the single coal (I c ).

[0068] Step 5: Calculation of the active maceral content of the single coal (R c )

[0069] According to the quantitative results of the maceral of the single coal, the active maceral content of the single coal (R c ) is calculated, as shown in Formula (4):

[0070] R c = V + E …… (Formula 4)

[0071] Step 6: Calculation of the coking ability of the active component of the blended coal (RCI)

[0072] According to the theory of coal blending, the mass of the active component changes with the metamorphic degree. The coking ability of the active component (RCI) is used to represent the mass of the active component in the blended coal, and the coking ability of the active component in the single coal is constructed based on the theoretical caking index of the active component (G c ).

[0073] The coking ability of the active component of the blended coal (RCI) is calculated by the weighted average method, using the coking ability of the active component of the single coal, the theoretical caking index and the inert component content,

[0074] RCI = (R c1 × G c1 + R c2 × G c2 + … + R cn × G cn ) / (1-TI) …… (Formula 5)

[0075] In the formula: RCI- the coking ability of the active component of the blended coal;

[0076] R c1 , R c1 …… R​cn - the content of the active component of each individual coal;

[0077] G c1 , G c1 … G cn - the coking ability of each individual coal;

[0078] the content of the inert component of the TI-blended coal.

[0079] Step 7: 40 kg coking experiment and equal intensity curve

[0080] According to YB / T 4526-2016 “Technical Specification for Small Coke Oven for Coking Test”, a 40 kg test coke oven is used for coal blending coking test to test the crushing strength (M 40 ), abrasion resistance (M 10 ), thermal reactivity (CRI) and strength after thermal reaction (CSR) of the coke.

[0081] Taking the content of the inert component (TI) of the blended coal as the horizontal coordinate and the coking ability of the active component (RCI) as the vertical coordinate, the coke equal crushing strength (M 40 ) line, equal abrasion resistance (M 10 ) line, equal thermal reactivity (CRI) line and equal strength after thermal reaction (CSR) line are drawn, as shown in Figures 2-5 .

[0082] With the coal petrographic microscopic quantitative analysis and the caking index test results, the content of the inert component (TI) and the coking ability of the active component (RCI) of the blended coal can be calculated, the coal blending scheme can be developed, and the two indexes can be made to fall on the required coke quality by using the four equal intensity curves. The coke quality can be quickly adjusted by adjusting the two indexes, and the coke quality can be accurately predicted and controlled.

[0083] By calculating a number of indexes and making them within a reasonable range, the blending ratio of the coal blending is adjusted, the coal blending production is guided, and the purpose of controlling the coke quality is achieved. The number of indexes of the steps are the content of the inert component of each individual coal (I c ), the content of the inert component of the blended coal (TI), the theoretical caking index of the active component of each individual coal (G c ), the content of the active microscopic component of each individual coal (R c ), and the coking ability of the active component of the blended coal (RCI). The crushing strength (M40) of the produced coke is controlled to be above 89.0%, the abrasion resistance (M10) is controlled to be below 6.0%, the thermal reactivity (CRI) of the coke is controlled to be below 23.0%, the strength after thermal reaction (CSR) of the coke is controlled to be above 68.0%, and the content of the inert component of each individual coal (I c) is 15-85%, the inert component content (TI) of the blended coal is 15-75%, the theoretical bonding index (G c ) is 55-120, the active maceral content (R c ) of the single coal is 15-85%, and the coking ability of the active component (RCI) of the blended coal is 3-10. Specific embodiment 1

[0085] A certain blending scheme is shown in Table 1, and the bonding index (G value) and maceral content of each single coal are tested.

[0086] Table 1: A certain blending scheme and the quality of single coal

[0087]

[0088]

[0089] The blending parameters are calculated according to the corresponding formula, as shown in Table 2.

[0090] Table 2: Calculation of blending parameters

[0091]

[0092] The inert component content (TI) of the blended coal is 19.9%, and the coking ability of the active component (RCI) is 3.70, according to the prediction of the coke equal crushing strength (M 40 ), equal abrasion resistance (M 10 ), equal thermal reactivity (CRI), and equal strength after thermal reaction (CSR), the crushing strength (M 40 ) of the produced coke is 89.2%, the abrasion resistance (M 10 ) is 5.8%, the thermal reactivity (CRI) is 21.4%, and the strength after thermal reaction (CSR) is 68.8%, which is consistent with the production test. Specific embodiment 2

[0094] The designed blending scheme is shown in Table 3, the RCI and TI of each blending method are calculated, and the corresponding coke quality roots are obtained. According to these two indexes, the coke quality can be accurately predicted and controlled, and the blending scheme can be quickly adjusted.

[0095] Table 3: Designed blending scheme, blended coal parameters, and coke quality

[0096]

[0097] The application also provides a device for implementing the method of controlling coke quality by using coal maceral parameters and bonding index, comprising a processor and a memory.

[0098] The processor is configured to execute the method for controlling coke quality by using coal rock parameters and caking indexes.

[0099] The memory is used for storing executable instructions of the processor.

[0100] The application further provides a computer storage medium, which stores a computer program, and the computer program is executed by a processor to realize the method for controlling coke quality by using coal rock parameters and caking indexes.

[0101] Those skilled in the art should understand that the embodiments of the application can be provided as a method, a system, or a computer program product. Therefore, the application can adopt a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can adopt a computer program product in the form of one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes. The solutions in the embodiments of the application can be implemented in various computer languages, for example, object-oriented programming languages such as Java and direct interpretation script languages such as JavaScript.

[0102] The application is described with reference to the flowcharts and / or block diagrams according to the methods, devices (systems), and computer program products of the embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one or more flows and / or blocks Figure 1 The devices that implement the functions specified in one or more flows and / or blocks.

[0103] These computer program instructions can also be stored in a computer readable storage medium that can guide the computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer readable storage medium produce a manufactured product including instruction devices that implement the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one or more flows and / or blocks Figure 1 The devices that implement the functions specified in one or more flows and / or blocks.

[0104] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 The flowchart blocks Figure 1 The flowchart blocks

[0105] Although preferred embodiments of the application have been described, those skilled in the art will recognize that additional modifications and variations can be made thereto without departing from the spirit and scope of the application. It is therefore intended that the appended claims cover all such modifications and variations as fall within the scope of the application.

[0106] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore intended that the application be covered within the scope of the claims, and that the application be interpreted no more restrictively than is required by the patent laws and regulations.

Claims

1. A method for controlling coke quality using coal petrography parameters and caking index, characterized in that, It comprises the following steps: Step 1: Quantitative analysis of coal maceral Test the content of vitrinite V, inertinite I, exinite E and mineral M in each single coal; Step 2: Single coal inert component content I c Calculation Single coal inert component content I c is an inherent leaner in the coking process, and is an important index affecting the properties of coking coal; single coal inert component content I c is calculated according to formula (1): I c = I + M... (1) Step 3: Calculation of the content of inert component TI of the blended coal The content of inert component TI of the blended coal is calculated by weighted calculation of the content of inert component of each single coal in the blended coal, and the content of inert component TI of the blended coal is calculated according to formula (2): TI = I c1 x X1+ I c2 x X2+... + I cn x X n ... (2) wherein: I c1 Ic2,... I cn is the content of the inert component in each individual coal; X1, X2, ... X n The proportions of each type of coal; Step 4: Theoretical bonding index G of individual coal active components c Calculation Test the caking index G of the single coal, and obtain the caking index of 100% active component of the coal by extrapolation, that is, the theoretical caking index of the active component of the single coal, as shown in formula (3): G c = G / (1 - I c )... (3) In the formula: Gc is the theoretical caking index of the active component of the single coal; G is the measured value of the caking index of the single coal; I c - inert component content of the single coal; Step 5: Content of individual coal maceral R c Calculation R content of the single coal active maceral c calculated according to formula (4): R c = V + E … (4) Step 6: Calculation of the coking capacity RCI of the active component of the blended coal According to the theory of coal blending, the mass of the active component changes with the metamorphic grade, and the coking capacity RCI of the active component is an index representing the mass of the active component in the blended coal, and the coking capacity of the active component in the single coal is constructed by the theoretical caking index of the active component; The coking capacity RCI of the active component of the blended coal is calculated by weighted average method: RCI = (R c1 × G c1 + R c2 × G c2 + … + R cn × G cn ) / (1 - TI)... (5) In the formula: RCI is the coking capacity of the active component of the blended coal; R c1 , R c1 … R cn - the content of active components of each individual coal; G c1 , G c1 … G cn - coking ability of each individual coal; TI is the content of the inert component of the blended coal; Step 7: Coking experiment and equal intensity curve The test coke oven is used to carry out the coal blending coking experiment to test the crushing strength M 40 , the abrasion resistance M 10 , the thermal reactivity CRI and the strength CSR after thermal reaction of the coke; with the content TI of the inert component in the blending coal as the horizontal coordinate and the coking ability RCI of the active component as the vertical coordinate, the following four equal strength curves are drawn: the coke equal crushing strength M 40 line, the equal abrasion resistance M 10 line, the equal thermal reactivity CRI line and the equal strength CSR line after thermal reaction. Two blending indexes of the blended coal, the content of the inert component TI and the coking capacity RCI of the active component, are calculated according to the results of the coal maceral quantitative analysis and the caking index test, a blending scheme is formulated, the two blending indexes are made to fall on the required coke quality by using the above four equal intensity curves, and the coke quality is adjusted according to the two blending indexes, so that the blending scheme can be quickly adjusted and the coke quality can be accurately predicted.

2. A method for controlling coke quality using coal petrography parameters and caking index as claimed in claim 1, wherein, In step 1, according to GB / T8899-2013 "Determination of maceral group and mineral in coal", the coking coal sample is prepared into a coal sample light sheet, the sample is observed under a coal maceral microscope in an oil immersion reflection single polarized light mode, the maceral and mineral in the coking coal are accurately identified, the number of test points is ensured to be greater than or equal to 500 points, and the percentage of each maceral in each single coal, that is, the percentage of vitrinite V, inertinite I, exinite E and mineral M, is recorded.

3. A device for implementing the method for controlling coke quality using coal petrographic parameters and caking index according to any one of claims 1 to 2, characterized in that, The processor and the memory connected thereto are included; The processor is configured to execute the method for controlling the quality of coke by using coal maceral parameters and caking indexes in any one of claims 1-2; The memory is used to store executable instructions of the processor.

4. A computer storable medium, characterized by A computer program is stored thereon, and the computer program is executed by the processor to implement the method for controlling the quality of coke by using coal maceral parameters and caking indexes in any one of claims 1-2.

Images