Coke quality fuzzy comprehensive evaluation method and system based on multiple indexes

Abstract

The invention provides a coke quality fuzzy comprehensive evaluation method and system based on multiple indexes, and the method comprises the steps: defining coke quality indexes through employing a fuzzy mathematical theory, and representing the comprehensive influence of the fluctuation of each index of the coke quality on the production of a blast furnace under an existing production condition; and the function of reasonably and comprehensively evaluating the coke quality is realized. The method reflects the advantages and disadvantages of a certain index of the coke through the membership degree, is convenient for iron and steel enterprises to reasonably and comprehensively judge the coke quality, and provides support for stable and smooth operation of a blast furnace and reduction of coke ratio, fuel ratio and iron cost. The method solves the problem that the evaluation of the coke quality fluctuation is limited in a certain index range at the present stage, and accurate judgment is difficult to make when the coke indexes have advantages and disadvantages crossing, and also changes the phenomenon that the evaluation is uncertain and difficult to quantify depending on experience in the past.

Description

Technical Field

[0001] The invention belongs to the technical field of coking, and in particular relates to a fuzzy comprehensive evaluation method and system for coke quality based on multiple indicators. Background Art

[0002] Coke quality evaluation indicators primarily include ash content, volatile matter, sulfur content, moisture content, cold strength, and hot strength. With the advancement of coal blending technology, these coke quality indicators have reached a high level, meeting the needs of blast furnace production. However, in actual production, coke quality fluctuates due to factors such as market conditions and the need to reduce coal blending costs. This can affect the stability and smooth operation of blast furnaces, thereby impacting technical and economic indicators such as the coke ratio, fuel ratio, and iron cost. Therefore, the rational evaluation of coke quality is particularly important for blast furnace production at this stage.

[0003] Currently, the industry's evaluation of coke quality fluctuations is limited to a single indicator, such as the impact of cold and hot strength fluctuations on blast furnace production. However, in actual production, when quality testing coke at different times, various coke indicators are changing, not just a single indicator. The steel industry currently lacks relevant indicators for evaluating the comprehensive impact of fluctuations in various coke quality indicators at different times on blast furnace production. Ironmakers can only rely on simple experience to evaluate the comprehensive impact of fluctuations in various coke quality indicators, which is difficult to operate and not comparable. Therefore, exploring a new comprehensive coke quality evaluation method to evaluate the quality of coke for blast furnaces is of great significance.

[0004] Comprehensive evaluation of coke oven quality is a complex system project. Traditional evaluation methods have the following problems: 1) Lack of comprehensiveness, making it difficult to comprehensively consider and evaluate various coke quality indicators; 2) When two indicators are superior or inferior, it is difficult to make an accurate judgment; 3) Simple qualitative evaluation based on experience is inevitably subject to human subjective factors.

[0005] 4) Coke quality indicators are multi-objective parameters and are non-quantitative and uncertain problems that are difficult to solve using traditional classical mathematics alone. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide a fuzzy comprehensive evaluation method and system for coke quality based on multiple indicators, which are used for rationally and comprehensively evaluating coke quality.

[0007] The technical solution adopted by the present invention to solve the above technical problems is: a fuzzy comprehensive evaluation method of coke quality based on multiple indicators, comprising the following steps: S1: setting coke quality indicators, and establishing an indicator set including actual coke quality indicators and corresponding membership functions; S2: Establish membership function models according to the characteristics of different coke quality indicators; S3: Classify the coke quality indexes according to the membership function model; S4: establishing an evaluation matrix including all coke quality indicators for each type of coke; S5: Establishing coke quality index weight coefficient vector; S6: establishing a comprehensive evaluation index matrix based on the evaluation matrix and the coke quality index weight coefficient vector; S7: Bring the quality indicators of different types of coke into the above-mentioned comprehensive evaluation indicator matrix, conduct a comprehensive evaluation of the coke quality based on the calculation results, and take measures to improve the coke quality based on the evaluation results.

[0008] According to the above solution, in step S1, the coke quality index includes at least two coke thermal strength indexes, at least two coke cold strength indexes and at least four coke thermal process indexes.

[0009] According to the above scheme, in step S1, the elements of the index set are fuzzy subsets; the fuzzy subsets are pairs of actual coke quality indexes and corresponding membership functions, and the actual coke quality indexes are elements of the fuzzy subsets.

[0010] Furthermore, in step S2, a fuzzy distribution function including a descending trapezoidal distribution function, an ascending trapezoidal distribution function or a combined distribution function is used as the membership function of each fuzzy subset.

[0011] Furthermore, in step S3, the specific steps are: S31: comparing the actual coke quality index with the coke quality index classification standard, and selecting a corresponding fuzzy distribution function; S32: Calculate the membership function value of each coke quality index.

[0012] According to the above solution, in step S4, the elements of the evaluation matrix are certain coke quality index values ​​of certain cokes.

[0013] According to the above solution, in step S5, the elements of the coke quality index weight coefficient vector are weight coefficients of the impact of a certain coke quality index on blast furnace production, and the sum of all weight coefficients is 1.

[0014] According to the above scheme, in step S6, The comprehensive evaluation index matrix is ​​the vector product of the evaluation matrix and the coke quality index weight coefficient vector; Each element of the comprehensive evaluation index matrix is ​​used to represent the overall quality of each type of coke.

[0015] A fuzzy comprehensive evaluation system for coke quality based on multiple indicators, The indicator setting submodule is used to set the coke quality indicator and establish an indicator set including the actual coke quality indicator and the corresponding membership function; Modeling submodule, used to establish membership function models according to the characteristics of different coke quality indicators; The grading submodule is used to grade the coke quality indicators according to the membership function model; An evaluation submodule, for establishing an evaluation matrix including all coke quality indicators for each type of coke; The weight submodule is used to establish the weight coefficient vector of coke quality indicators; A comprehensive evaluation submodule is used to establish a comprehensive evaluation index matrix based on the evaluation matrix and the coke quality index weight coefficient vector; The evaluation and improvement submodule is used to bring the quality indicators of different types of coke into the above-mentioned comprehensive evaluation indicator matrix, conduct a comprehensive evaluation of the coke quality based on the calculation results, and take measures to improve the coke quality based on the evaluation results.

[0016] A computer memory stores a computer program that can be executed by a computer processor. The computer program executes a fuzzy comprehensive evaluation method for coke quality based on multiple indicators.

[0017] The beneficial effects of the present invention are: 1. The present invention provides a multi-index fuzzy comprehensive evaluation method and system for coke quality, which adopts fuzzy mathematics theory to define coke quality indicators, characterizes the comprehensive impact of fluctuations in various coke quality indicators on blast furnace production under existing production conditions, and realizes the function of rationally and comprehensively evaluating coke quality.

[0018] 2. The present invention reflects the quality of a certain indicator of coke through the size of the membership degree, which is convenient for steel enterprises to rationally and comprehensively evaluate the quality of coke, provide support for the stable operation of blast furnaces, and reduce coke ratio, fuel ratio and iron cost.

[0019] 3. The present invention solves the problem that the evaluation of coke quality fluctuation is limited to a certain index range at the current stage. When the coke index shows a crossover of good and bad, it is difficult to make an accurate judgment. At the same time, it also changes the previous phenomenon of uncertainty and difficulty in quantification based on experience.

[0020] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 is a flow chart of an embodiment of the present invention.

[0023] Figure 2 3 is a descending trapezoidal distribution function diagram of an embodiment of the present invention.

[0024] Figure 3 3 is a diagram of an ascending trapezoidal distribution function according to an embodiment of the present invention.

[0025] Figure 4 4 is a combined distribution function diagram of an embodiment of the present invention.

[0026] Figure 5 2 is a regression analysis diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0028] Example 1 See also Figure 1 The specific steps of a fuzzy comprehensive evaluation method for coke quality based on multiple indicators are as follows: S1: Set coke quality indicators, including thermal strength index CRI, CSR, cold strength index M 40 、M 10 , process index A d , S, V daf There are 8 factors in total including Mt; these 8 coke indices are selected as the evaluation indices of coke quality and the index set is established: U = (u1, u2, u3, u4, u5, u6, u7, u8) Where: u1, u2 represent the coke thermal strength index CRI and CSR respectively; u3, u4 represent the coke cold strength index M 40 、M 10 ; u5, u6, u7, u8 represent the coke thermal process index A d , S, V daf , Mt ; Definition: u i ={x i ,u(x i )} ,x i ∈u i ,u(x i )∈[0,1] i=1~8; Where: x i is the fuzzy subset u i The elements of u(x i ) is the membership function.

[0029] S2: According to the characteristics of coke quality indicators, membership function models are established respectively, and the following three fuzzy distribution functions are used as membership functions of each fuzzy subset: 10 、A d , S, V daf , Mt adopts descending trapezoidal distribution function, CSR, M 40 The ascending trapezoidal distribution function is used, and the CRI uses a combined distribution function; see Figure 2 、 3 , 4; (1) Descending trapezoidal distribution function

[0030] (2) Ascending trapezoidal distribution function

[0031] (3) Combined distribution function

[0032] S3: Classify the coke quality indexes according to the membership function model; S31: Compare the actual coke quality index with the coke quality index classification standard and select the corresponding fuzzy distribution function; the coke quality index classification standard is as follows: Table 1 Coke quality index classification standards

[0033] S32: Calculate the membership function value of each coke quality index.

[0034] S4: Evaluate the above 8 coke quality indicators of m types of coke. The evaluation matrix is:

[0035] Where: r i,j is the i-th index value of coke j, r i =u(x i ), i=1~8, j=1~m; S5: Establish coke quality index weight coefficient vector K = (k1, k2, k3, k4, k5, k6, k7, k8) Where: k1, k2 represent the weight coefficients of the coke thermal strength index CRI and CSR on blast furnace production; k3, k4 represent the coke cold strength index M 40 、M 10 Weight coefficient of impact on blast furnace production; k5, k6, k7, k8 represent the coke thermal process index A d , S, V daf , the weight coefficient of the impact of Mt on blast furnace production;

[0036] Where: k i is the weight of coke index i, i=1~8; Among them, k1 to k8 are the weight coefficients of the influence of various coke quality indicators on blast furnace production, and 0.05≤k1≤0.15, 0.2≤k2≤0.3, 0.15≤k3≤0.2, 0.15≤k4≤0.2, 0.05≤k5≤0.15, 0.05≤k6≤0.15, 0.05≤k7≤0.1, 0.05≤k8≤0.1; generally, the values ​​of k1 to k8 are selected according to the characteristics of the coke resources used and the influence of coke on blast furnace production under existing production conditions; when the fluctuation of a certain coke indicator has a great impact on blast furnace production at this stage, the upper limit value of the weight coefficient corresponding to the coke indicator can be taken; when the fluctuation of a certain coke indicator has a small impact on blast furnace production at this stage, the lower limit value of the weight coefficient corresponding to the coke indicator can be taken.

[0037] S6: Establish comprehensive evaluation index matrix W: W=K*R=(k1, k2, k3, k4, k5, k6, k7, k8) =(w1, w2, ....w m ) Where: w1, w2, ....w m The size of represents the overall quality of the m types of coke.

[0038] S7: Bring the quality indicators of different types of coke into the above-mentioned comprehensive evaluation indicator matrix, conduct a comprehensive evaluation of the coke quality based on the calculation results, and take measures to improve the coke quality based on the evaluation results.

[0039] This embodiment adopts fuzzy mathematics theory to define coke quality indicators, characterizes the comprehensive impact of fluctuations in various coke quality indicators on blast furnace production under existing production conditions, and realizes the function of reasonably and comprehensively evaluating coke quality.

[0040] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0041] Example 2 The steps of this embodiment are the same as those of embodiment 1, except that each step is applied to a specific example: a steel company currently has 5 types of coke for 4000m 3 In the production of a high-grade blast furnace, the specific steps are: Determine the coke quality index according to step S1 of Example 1; Establish a membership function model according to step S2 of Example 1; The membership functions u(x) of the five types of coke in this embodiment are calculated according to the coke quality index classification standards in Table 1 of step S3 of Example 1. The coke quality indexes of this embodiment are as follows: Table 2 Coke quality indicators

[0042] Take the first type of coke m1 as an example: The thermal intensity index CRI adopts a combined distribution function. According to the coke quality index classification standard in Table 1, x=23.68>x3, then u1(x)=(26-23.68) / (26-23.5)=0.93; The thermal strength index CSR adopts an ascending trapezoidal distribution function. According to the coke quality index classification standard in Table 1, 60<x=66.13<70, then u2(x)=(66.13-60) / (70-60)=0.61; M 40 Using the ascending trapezoidal distribution function, according to the coke quality index classification standard in Table 1, 88.6<x=88.95<89, then u3(x)=(88.95-88.6) / (89-88.6)=0.88; To M 10 、A d , S, V daf , Mt adopts descending trapezoidal distribution function, according to the coke quality index classification standard in Table 1, then u4(x)=0.81, u5(x)=0.53, u6(x)=1, u7(x)=0.88, u8(x)=1 The membership functions u(x) of the eight quality indicators of the five types of coke in Table 2 are calculated according to the above method. The calculation results are shown in the following table: Table 3 Membership function values ​​of various coke indicators

[0043] Evaluate the membership functions u(x) of the eight quality indicators of the five types of coke according to step S4 of Example 1; According to step S5 of Example 1, a coke quality index weight coefficient vector is established, wherein k1 to k8 are the weight coefficients of each coke quality index for 4000m 3 The weight coefficient of the impact of blast furnace production is as follows: The current cold intensity index M 40 、M 10 Fluctuations have a significant impact on blast furnace production, so k3=0.2 and k4=0.2; The fluctuation of thermal intensity index CSR has a greater impact on blast furnace production, while CRI has a smaller impact on blast furnace production, so k1=0.05, k2=0.25; Fluctuations in moisture and volatile matter have little impact on blast furnace production, so k7=0.05 and k8=0.05; Fluctuations in ash and sulfur content have a certain impact on blast furnace production, so k5=0.1 and k6=0.1.

[0044] According to step S6 of Example 1, a comprehensive evaluation index matrix is ​​established, and the overall quality levels w1, w2, w3, w4, and w5 of the five types of coke are calculated respectively: W=K*R=(k1, k2, k3, k4, k5, k6, k7, k8)

[0045] =(w1,w2,w3,w4,w5)=(0.78,0.52,0.50,0.27,0.42) According to step S7 of Example 1, a comprehensive evaluation is performed on the five types of coke: m1 has the best quality; m4 has the worst quality, which is not conducive to the stable and smooth operation of the blast furnace. It is necessary to improve the various quality indicators of the coke by changing the coal blending structure, thereby improving the coke quality.

[0046] Example 3 The steps of this embodiment are the same as those of embodiment 1. The difference is that each step is applied to a specific example: According to the method of embodiment 1, a 3200m 3 Comprehensive evaluation index of coke quality W for coke produced by a blast furnace within one year i The statistical results are shown in the following table, combined with the blast furnace coke ratio index corresponding to the coke produced by the blast furnace in the corresponding period:

[0047] Comprehensive evaluation index of coke quality W i The regression analysis is performed with the focal ratio as the horizontal axis and the focal ratio as the vertical axis. The results are as follows: Figure 5 As shown. Figure 5 It can be seen that as the comprehensive evaluation index of coke quality W i With the increase of W i When ≥0.75, the coke ratio is at a low level. Comprehensive evaluation index of coke quality W i The improvement of the coal blending structure needs to be adjusted to increase the proportion of high-quality coking coal to improve the quality indicators of coke, which will lead to an increase in coal blending costs. Therefore, the 3200m 3 For the production of coke for blast furnace, the comprehensive evaluation index of quality control is W i When it stabilizes at around 0.75, the economic cost is optimal.

[0048] Example 4 This embodiment is used to implement the principles of the above-mentioned method embodiment to construct a fuzzy comprehensive evaluation system for coke quality based on multiple indicators, including an indicator setting submodule, a modeling submodule, a grade division submodule, an evaluation matrix submodule, a weight vector submodule, a comprehensive evaluation submodule and an evaluation improvement submodule.

[0049] The indicator setting submodule is used to set the coke quality indicator and establish an indicator set including the actual coke quality indicator and the corresponding membership function; Modeling submodule, used to establish membership function models according to the characteristics of different coke quality indicators; The grading submodule is used to grade the coke quality indicators according to the membership function model; An evaluation matrix submodule is used to establish an evaluation matrix including all coke quality indicators for each type of coke; The weight vector submodule is used to establish the weight coefficient vector of coke quality indicators; A comprehensive evaluation submodule is used to establish a comprehensive evaluation index matrix based on the evaluation matrix and the coke quality index weight coefficient vector; The evaluation and improvement submodule is used to bring the quality indicators of different types of coke into the above-mentioned comprehensive evaluation indicator matrix, conduct a comprehensive evaluation of the coke quality based on the calculation results, and take measures to improve the coke quality based on the evaluation results.

[0050] Each sub-module is mainly used to implement each step of the method embodiment, which will not be described in detail here.

[0051] It should be pointed out that, according to the needs of implementation, the various steps / components described in this application can be split into more steps / components, or two or more steps / components or partial operations of steps / components can be combined into new steps / components to achieve the purpose of the present invention.

[0052] This embodiment also includes a processor, a communication interface, a memory and a communication bus; wherein the processor, the communication interface and the memory communicate with each other via the communication bus; the memory stores a computer program, and when the program is executed by the processor, the processor executes the steps of a fuzzy comprehensive evaluation method for coke quality based on multiple indicators.

[0053] This embodiment also provides a computer-readable storage medium having executable instructions stored thereon. When the instructions are executed by a processor, the processor implements a fuzzy comprehensive evaluation method for coke quality based on multiple indicators.

[0054] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware.

[0055] Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0056] This application is described with reference to the flowcharts of the method and computer program product according to Example 1 of the application and the block diagram of the device (system) according to Example 3. It should be understood that each process or block in the flowchart or block diagram, as well as combinations of processes or blocks in the flowchart or block diagram, can be implemented by computer program instructions.

[0057] These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce the instructions for implementing the process Figure 1 a process or multiple processes or boxes Figure 1 A fuzzy comprehensive evaluation system for coke quality based on multiple indicators and the functions specified in a box or multiple boxes.

[0058] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes or boxes Figure 1 The function specified in one or more boxes.

[0059] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes or boxes Figure 1 The invention provides a step of a fuzzy comprehensive evaluation method of coke quality based on multiple indicators specified in a box or multiple boxes.

[0060] The above embodiments are intended only to illustrate the design concepts and features of the present invention. Their purpose is to enable those skilled in the art to understand the contents of the present invention and implement them accordingly. The scope of protection of the present invention is not limited to the above embodiments. Therefore, any equivalent changes or modifications made based on the principles and design concepts disclosed in the present invention are within the scope of protection of the present invention.

Claims

1. A fuzzy comprehensive evaluation method for coke quality based on multiple indicators, characterized by: The following steps are involved: S1: setting coke quality indicators, and establishing an indicator set including actual coke quality indicators and corresponding membership functions; S2: Establish membership function models according to the characteristics of different coke quality indicators; S3: Classify the coke quality indexes according to the membership function model; S4: establishing an evaluation matrix including all coke quality indicators for each type of coke; S5: Establishing coke quality index weight coefficient vector; S6: establishing a comprehensive evaluation index matrix based on the evaluation matrix and the coke quality index weight coefficient vector; S7: Bring the quality indicators of different types of coke into the comprehensive evaluation index matrix, comprehensively evaluate the coke quality based on the calculation results and take improvement measures.

2. The method for fuzzy comprehensive evaluation of coke quality based on multiple indicators according to claim 1, characterized in that: In the step S1, the coke quality index includes at least two coke thermal strength indexes, at least two coke cold strength indexes and at least four coke thermal process indexes.

3. The method for fuzzy comprehensive evaluation of coke quality based on multiple indicators according to claim 1, characterized in that: In the step S1, the elements of the index set are fuzzy subsets; the fuzzy subsets are pairs of actual coke quality indexes and corresponding membership functions, and the actual coke quality indexes are elements of the fuzzy subsets.

4. The method for fuzzy comprehensive evaluation of coke quality based on multiple indicators according to claim 3 is characterized in that: In the step S2, a fuzzy distribution function including a descending trapezoidal distribution function, an ascending trapezoidal distribution function or a combined distribution function is used as the membership function of each fuzzy subset.

5. The method for fuzzy comprehensive evaluation of coke quality based on multiple indicators according to claim 4 is characterized in that: In the step S3, the specific steps are: S31: comparing the actual coke quality index with the coke quality index classification standard, and selecting a corresponding fuzzy distribution function; S32: Calculate the membership function value of each coke quality index.

6. The method for fuzzy comprehensive evaluation of coke quality based on multiple indicators according to claim 1, characterized in that: In the step S4, the elements of the evaluation matrix are certain coke quality index values ​​of certain cokes.

7. The method for fuzzy comprehensive evaluation of coke quality based on multiple indicators according to claim 1, characterized in that: In step S5, the elements of the coke quality index weight coefficient vector are weight coefficients of the impact of a certain coke quality index on blast furnace production, and the sum of all weight coefficients is 1.

8. The method for fuzzy comprehensive evaluation of coke quality based on multiple indicators according to claim 1, characterized in that: In the step S6, The comprehensive evaluation index matrix is ​​the vector product of the evaluation matrix and the coke quality index weight coefficient vector; Each element of the comprehensive evaluation index matrix is ​​used to represent the overall quality of each type of coke.

9. A fuzzy comprehensive evaluation system for coke quality based on multiple indicators, characterized by: The indicator setting submodule is used to set the coke quality indicator and establish an indicator set including the actual coke quality indicator and the corresponding membership function; Modeling submodule, used to establish membership function models according to the characteristics of different coke quality indicators; The grading submodule is used to grade the coke quality indicators according to the membership function model; An evaluation matrix submodule is used to establish an evaluation matrix including all coke quality indicators for each type of coke; The weight vector submodule is used to establish the weight coefficient vector of coke quality indicators; A comprehensive evaluation submodule is used to establish a comprehensive evaluation index matrix based on the evaluation matrix and the coke quality index weight coefficient vector; The evaluation and improvement submodule is used to bring the quality indicators of different types of coke into the comprehensive evaluation indicator matrix, comprehensively evaluate the coke quality based on the calculation results and take improvement measures.

10. A computer memory, characterized in that: A computer program that can be executed by a computer processor is stored therein, and the computer program executes a fuzzy comprehensive evaluation method for coke quality based on multiple indicators as described in any one of claims 1 to 8.

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