Mixed coke use performance evaluation method, system and device based on multi-dimensional parameters and readable storage medium

Abstract

The invention provides a multi-dimensional parameter-based mixed coke usability evaluation method, system and device and a readable storage medium, and the method comprises the following steps: obtaining related data of mixed coke, the related data at least comprising particle size distribution, reactivity index and strength index; constructing a multi-dimensional performance parameter system according to the related data, wherein the multi-dimensional performance parameter system is used for representing the use performance of the mixed coke in the blast furnace; comprehensively evaluating the mixed coke through the multi-dimensional performance parameter system to obtain an evaluation result; and generating a matching optimization scheme according to the evaluation result in combination with economic indexes, wherein the matching optimization scheme is used for guiding the matching selection of the mixed coke.

Description

Technical Field

[0001] This invention relates to the field of blast furnace ironmaking technology, and in particular to a method, system, apparatus, and readable storage medium for evaluating the performance of mixed coke based on multi-dimensional parameters. Background Technology

[0002] Coke is a high-strength, porous material produced by heating coal to 1100℃ in an inert atmosphere. It can be considered a heterogeneous composite material composed of organic carbon, inorganic minerals, and pores. Coke is the primary fuel in blast furnace smelting, acting as a heating agent, reducing agent, carburizing agent, and structural support for the blast furnace charge. To ensure steel quality and production safety, coke's supporting role as the structural support for the blast furnace charge is irreplaceable. This is because coke is the only raw material that remains solid in the softening zone, serving as a channel for the flow of reducing gas and liquid slag-iron, and is crucial for the smooth progress of gas-solid reactions within the blast furnace. However, with the development of large-scale pulverized coal injection technology, declining iron ore quality, the increasing depletion of high-quality coking coal resources, and the increasingly severe environmental situation, the contradiction between higher requirements for coke quality and the gradual deterioration of coke quality has become increasingly prominent. In the blast furnace ironmaking process, coke plays a vital role as fuel, reducing agent, burden skeleton, and carburizing agent. However, different qualities of coke vary in average particle size, strength, reactivity, porosity, and microcrystalline structure. When these cokes are used in combination, their interactions can lead to deviations from the performance characteristics of individual cokes. Currently, there is a lack of a system and model to accurately evaluate the performance of blended cokes, leaving enterprises without a scientific basis for selecting coke blending schemes. This can potentially lead to problems such as unstable blast furnace operation and increased production costs. Traditional coke evaluation systems have the following technical shortcomings: (1) Evaluation is only performed on the CSR, CRI and other indicators of a single coke, but in actual production, mixed coke is often used to balance cost and performance. However, the differences in particle size, reactivity, strength and pore structure of different cokes can lead to problems such as asynchronous dissolution process, deterioration of permeability and discontinuous particle size distribution after mixing. Traditional methods ignore the interaction between chemical reactions and physical structures between components of mixed coke and cannot effectively predict the comprehensive performance of mixed coke.

[0003] (2) The traditional weighted average method cannot characterize the nonlinear effect of the premature decay of highly reactive coke on the support capacity of the feed column. For highly reactive coke (CRI≥35%), the dissolution rate is fast, which leads to premature decay of support strength. Meanwhile, low reactive coke (CRI<25%) may form an "island effect" due to reaction lag, which will damage the permeability of the feed column.

[0004] (3) There is a lack of quantitative analysis methods to analyze the relationship between the dynamic changes in particle size distribution and air permeability during the dissolution process; (4) Existing evaluation standards (such as GB / T4000-2017) do not consider the synergistic effect and dynamic solubility balance characteristics of mixed coke, resulting in deviations in the economic evaluation of the proportioning scheme.

[0005] (5) The selection of the proportioning scheme relies on empirical formulas, and no coupled optimization model of economic benefits and process parameters has been established.

[0006] Therefore, there is an urgent need to develop a method, system, device, and readable storage medium for evaluating the performance of mixed coke based on multidimensional parameters to solve one or more of the above problems. Summary of the Invention

[0007] This invention provides a method, system, apparatus, and readable storage medium for evaluating the performance of mixed coke based on multi-dimensional parameters, mainly comprising: The process involves acquiring relevant data on mixed coke, including at least particle size distribution, reactivity index, and strength index; constructing a multidimensional performance parameter system based on the data, which characterizes the performance of the mixed coke in a blast furnace; comprehensively evaluating the mixed coke using the multidimensional performance parameter system to obtain evaluation results; and generating a blending optimization scheme based on the evaluation results and economic indicators, which guides the selection of mixed coke blends. Further, acquiring the relevant data on the mixed coke includes: extracting particle size distribution data for each component of the mixed coke, which characterizes the proportion of coke with different particle sizes; acquiring reactivity indexes for each component, which characterize the dissolution rate of the coke in the blast furnace; acquiring strength indexes for each component, which characterize the supporting capacity of the coke; and integrating the particle size distribution data, reactivity indexes, and strength indexes into the relevant data for subsequent construction of the multidimensional performance parameter system. Furthermore, the construction of a multidimensional performance parameter system based on the relevant data includes: calculating a comprehensive gradient dissolution intensity matching degree based on the relevant data, wherein the comprehensive gradient dissolution intensity matching degree is used to evaluate the rationality of intensity matching of different reactive cokes; calculating a weighted reaction index of mixed coke, wherein the weighted reaction index of mixed coke is used to characterize the overall dissolution rate of mixed coke; calculating a mixed air permeability resistance coefficient, wherein the mixed air permeability resistance coefficient is used to reflect the degree of deterioration of air permeability of the mixed coke bed; calculating a dynamic dissolution balance index, wherein the dynamic dissolution balance index is used to evaluate the synchronicity of the dissolution process of each component; calculating a particle size gradient coordination coefficient, wherein the particle size gradient coordination coefficient is used to evaluate the continuity of particle size distribution; and integrating the above parameters into the multidimensional performance parameter system. Furthermore, the comprehensive evaluation of the blended coke using the multi-dimensional performance parameter system includes: obtaining the corresponding evaluation standard value for each parameter in the multi-dimensional performance parameter system; scoring each parameter according to the evaluation standard value to obtain the scoring result for each parameter; weighting the scoring results to generate a comprehensive evaluation score; determining the performance level of the blended coke based on the comprehensive evaluation score, and using the performance level as the evaluation result for generating subsequent blending optimization schemes. Furthermore, the generation of blending optimization schemes based on the evaluation results and economic indicators includes: obtaining cost data for the blended coke, the cost data being used to characterize the economic input of different blending schemes; calculating an economic index based on the evaluation results and the cost data, the economic index being used to characterize the balance between performance and cost; comparing the magnitude of the economic index for different blending schemes; selecting the blending scheme with the higher economic index based on the comparison results as the blending optimization scheme to guide the actual blending of the blended coke.Furthermore, the construction of a multidimensional performance parameter system based on the relevant data includes: obtaining a multidimensional dataset of the relevant data through experimental design, wherein the experimental design includes at least a cross combination of particle size classification and reactivity classification; establishing a performance database based on the multidimensional dataset, wherein the performance database is used to store parameter values ​​under different proportions; calibrating the parameters of the multidimensional performance parameter system through the performance database to obtain calibrated parameter values; and completing the construction of the multidimensional performance parameter system based on the calibrated parameter values ​​for subsequent comprehensive evaluation. Furthermore, the comprehensive evaluation of the mixed coke using the multidimensional performance parameter system includes: obtaining the weight coefficients of each parameter in the multidimensional performance parameter system, wherein the weight coefficients are used to characterize the degree of influence of each parameter on the comprehensive evaluation; performing weighted calculations on each parameter based on the weight coefficients to obtain weighted parameter values; generating a comprehensive performance index based on the weighted parameter values, wherein the comprehensive performance index is used to characterize the overall performance of the mixed coke; and determining the evaluation result based on the comprehensive performance index for subsequent economic indicator analysis and proportion optimization.

[0008] Furthermore, the present invention also provides a multi-dimensional parameter-based performance evaluation system for blended coke, comprising: a data acquisition module for acquiring relevant data of the blended coke, wherein the relevant data includes at least particle size distribution, reactivity index, and strength index; a system construction module for constructing a multi-dimensional performance parameter system based on the relevant data, wherein the multi-dimensional performance parameter system is used to characterize the performance of the blended coke in a blast furnace; a comprehensive evaluation module for comprehensively evaluating the blended coke through the multi-dimensional performance parameter system to obtain evaluation results; and a scheme production module for generating a blending optimization scheme based on the evaluation results and economic indicators, wherein the blending optimization scheme is used to guide the selection of blended coke.

[0009] Furthermore, the present invention also provides a device for evaluating the performance of mixed coke based on multi-dimensional parameters, the electronic device comprising: processor; A memory storing computer-readable instructions, which, when loaded and executed by the processor, implement any of the multi-dimensional parameter-based performance evaluation methods for mixed coke.

[0010] Furthermore, the present invention also provides a computer-readable storage medium storing program code, which can be invoked by a processor to execute any of the multi-dimensional parameter-based mixed coke performance evaluation methods described in the present invention.

[0011] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention discloses a method for evaluating the performance and optimizing the proportion of blended coke. By acquiring relevant data such as particle size distribution, reactivity, and strength of the blended coke, a multidimensional performance system is constructed, including parameters such as comprehensive gradient solubility strength matching degree, weighted reaction index, and mixed permeability resistance coefficient, to comprehensively evaluate the blended coke. This method utilizes experimental design to obtain multidimensional datasets, establish a performance database, and calibrate parameters, improving the accuracy of the evaluation. Based on this, an economic index is calculated by combining cost data to select the optimal proportion scheme that balances performance and cost. This invention characterizes the performance of blended coke in blast furnaces through multidimensional parameters, achieving scientific evaluation and optimization of different proportion schemes. It can effectively guide the selection of blended coke combinations, improving blast furnace smelting efficiency and economic benefits. Attached Figure Description

[0012] Figure 1 This is a flowchart of a method for evaluating the performance of mixed coke based on multidimensional parameters according to the present invention; Figure 2 This is a schematic diagram illustrating the research process of a multi-dimensional parameter-based method for evaluating the performance of mixed coke according to the present invention. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0014] like Figure 1 This embodiment discloses a method, system, apparatus, and readable storage medium for evaluating the performance of mixed coke based on multi-dimensional parameters. Specifically, the method for evaluating the performance of mixed coke based on multi-dimensional parameters may include: S101. Obtain relevant data on the mixed coke, including at least particle size distribution, reactivity index, and strength index; construct a multidimensional performance parameter system based on the relevant data, which is used to characterize the performance of the mixed coke in the blast furnace.

[0015] S102. The mixed coke is comprehensively evaluated through the multi-dimensional performance parameter system to obtain the evaluation results; based on the evaluation results and economic indicators, a blending optimization scheme is generated, which is used to guide the selection of mixed coke blends.

[0016] S103. The acquisition of relevant data for the mixed coke includes: extracting particle size distribution data of each component from the composition of the mixed coke, wherein the particle size distribution data is used to characterize the proportion of coke with different particle sizes; acquiring reactivity indicators of each component, wherein the reactivity indicators are used to characterize the dissolution rate of coke in the blast furnace; acquiring strength indicators of each component, wherein the strength indicators are used to characterize the support capacity of coke; and integrating the particle size distribution data, the reactivity indicators, and the strength indicators into the relevant data for subsequent construction of a multidimensional performance parameter system.

[0017] S104. The construction of a multidimensional performance parameter system based on the relevant data includes: calculating a comprehensive gradient dissolution intensity matching degree based on the relevant data, wherein the comprehensive gradient dissolution intensity matching degree is used to evaluate the rationality of intensity matching of different reactive cokes; calculating a weighted reaction index of mixed coke, wherein the weighted reaction index of mixed coke is used to characterize the overall dissolution rate of mixed coke; calculating a mixed air permeability resistance coefficient, wherein the mixed air permeability resistance coefficient is used to reflect the degree of deterioration of air permeability of the mixed coke bed; calculating a dynamic dissolution balance index, wherein the dynamic dissolution balance index is used to evaluate the synchronicity of the dissolution process of each component; calculating a particle size gradient coordination coefficient, wherein the particle size gradient coordination coefficient is used to evaluate the continuity of particle size distribution; and integrating the above parameters into the multidimensional performance parameter system.

[0018] S105. The comprehensive evaluation of the mixed coke through the multi-dimensional performance parameter system includes: obtaining the corresponding evaluation standard value for each parameter in the multi-dimensional performance parameter system; scoring each parameter according to the evaluation standard value to obtain the scoring result of each parameter; weighting the scoring results to generate a comprehensive evaluation score; determining the performance level of the mixed coke according to the comprehensive evaluation score, and using the performance level as the evaluation result for the generation of subsequent proportioning optimization schemes.

[0019] S106. The step of generating a blending optimization scheme based on the evaluation results and economic indicators includes: obtaining cost data of the mixed coke, wherein the cost data is used to characterize the economic input of different blending schemes; calculating an economic index based on the evaluation results and the cost data, wherein the economic index is used to characterize the balance between performance and cost; comparing the magnitude of the economic index for different blending schemes; and selecting the blending scheme with a higher economic index as the blending optimization scheme based on the comparison results, which is used to guide the actual blending of mixed coke.

[0020] S107. The construction of a multidimensional performance parameter system based on the relevant data includes: obtaining a multidimensional dataset of the relevant data through experimental design, wherein the experimental design includes at least a cross combination of granularity grading and reactivity grading; establishing a performance database based on the multidimensional dataset, wherein the performance database is used to store parameter values ​​under different ratios; calibrating the parameters of the multidimensional performance parameter system through the performance database to obtain calibrated parameter values; and completing the construction of the multidimensional performance parameter system based on the calibrated parameter values ​​for subsequent comprehensive evaluation.

[0021] S108. The comprehensive evaluation of the blended coke using the multidimensional performance parameter system includes: obtaining the weight coefficients of each parameter in the multidimensional performance parameter system, wherein the weight coefficients are used to characterize the degree of influence of each parameter on the comprehensive evaluation; performing weighted calculations on each parameter according to the weight coefficients to obtain weighted parameter values; generating a comprehensive performance index using the weighted parameter values, wherein the comprehensive performance index is used to characterize the overall performance of the blended coke; and determining the evaluation result based on the comprehensive performance index for subsequent economic index analysis and proportion optimization.

[0022] This invention also provides a multi-dimensional parameter-based performance evaluation system for blended coke, comprising: a data acquisition module for acquiring relevant data of the blended coke, wherein the relevant data includes at least particle size distribution, reactivity index, and strength index; a system construction module for constructing a multi-dimensional performance parameter system based on the relevant data, wherein the multi-dimensional performance parameter system is used to characterize the performance of the blended coke in a blast furnace; a comprehensive evaluation module for comprehensively evaluating the blended coke through the multi-dimensional performance parameter system to obtain evaluation results; and a scheme production module for generating a blending optimization scheme based on the evaluation results and economic indicators, wherein the blending optimization scheme is used to guide the selection of blended coke.

[0023] The present invention also provides a device for evaluating the performance of mixed coke based on multi-dimensional parameters, the electronic device comprising: processor; A memory storing computer-readable instructions, which, when loaded and executed by the processor, implement any of the multi-dimensional parameter-based performance evaluation methods for mixed coke.

[0024] The present invention also provides a computer-readable storage medium storing program code that can be invoked by a processor to execute any of the multi-dimensional parameter-based mixed coke performance evaluation methods described in the present invention.

[0025] Example 1: like Figure 2As shown, this invention provides a system and predictive model construction method for accurately evaluating the performance of blended coke, thereby solving the problem of the lack of accurate evaluation of the performance of blended coke in the prior art. Through the following innovations, it achieves precise evaluation and optimization, thereby guiding enterprises to select the coke blend scheme with the best cost performance, improving the stability of blast furnace operation, and reducing production costs.

[0026] (1) Establish five core parameters to quantify the strength complementarity, reaction synergy, permeability deterioration, solubility synchronicity and particle size continuity of mixed coke, and overcome the bias of traditional single index evaluation. (2) Construct a dynamic coupling analysis model of solution loss-strength-permeability to predict the performance of mixed coke; And combined with the Economic Efficiency Index (CEQR) (3) Construct an economic index calculation system for the mix design scheme to provide a quantitative basis for decision-making regarding the mix design scheme; (4) The system can achieve dual optimization of process performance and cost-effectiveness, and reduce the risk of blast furnace permeability deterioration, airflow turbulence and fuel ratio increase caused by coke performance fluctuations.

[0027] Specifically: 1. Core parameter development (1) Multiple Gradient Dissolution Intensity Compatibility (CSRGm) 1) Definition: To evaluate the rationality of strength matching of different reactive cokes in mixed coke, and to avoid premature pulverization of high reactive coke or failure of the skeleton of low reactive coke.

[0028] 2) Formula: Number of mixed coke types (by Sorted from highest to lowest: Coke 1 is... At its highest, coke n is lowest) : No. Coke ratio The gradient matching degree of adjacent coke pairs is calculated as follows: 3) Theoretical basis Complementary relationship between dissolution rate and intensity Molecular weight: Strength of highly reactive coke (CSR) i The dissolution rate (CRI) of the adjacent low-reactive coke needs to be compared with that of the coke. i+1Matching. The dissolution rate is fast, but if the strength (CSR) is... i If the furnace frame is not sufficiently supported, it will pulverize prematurely and will not be able to sustainably support the furnace frame.

[0029] Denominator: Strength of low-reactive coke (CSR) i+1 The dissolution rate (CRI) of the adjacent highly reactive coke needs to be compared with that of the coke. i Matching. The dissolution rate is slow, requiring sufficient strength (CSR). i+1 This is to stabilize the skeleton after partial dissolution of highly reactive coke.

[0030] Real-world case study support: Optimization experiments conducted by Nippon Steel revealed that when... When the ratio is in the range of 0.8-1.2, the stability of blast furnace pressure difference is significantly improved. After China Baowu Steel introduced a similar ratio, the coke skeleton life was extended by about 15%, verifying its physical rationality.

[0031] 4) Calculation Example (Mix of Three Types of Coke) Coke parameters: step: 1> Sorted by CRI: A (32%) B ( ) C ( 2> Calculate adjacent pairs CSRG: A-B pair: B-C pair: 3> Calculate the weights: A-B weights: B-C weights: Total weight: 4> Computational Synthesis : (2) Composite Reactivity Index (CRIc) 1) Definition: The comprehensive reactivity index of mixed coke, considering the proportion and synergistic effect of different cokes, characterizes the overall dissolution rate of mixed coke in the blast furnace.

[0032] 2) Formula: The mass ratio of the i-th type of coke (e.g., 0.3 indicates...). ), must meet .

[0033] : The monocoke reactivity of the i-th type of coke.

[0034] Average reactivity of all coke.

[0035] Synergistic correction factor, calibrated by thermogravimetric-mass spectrometry (TG-MS) experiments. (3) Composite Permeability Resistance (CPR) 1) Definition: The degree of permeability deterioration of the mixed coke bed under blast furnace simulation conditions reflects the obstruction effect of the pore structure on airflow after dissolution.

[0036] 2) Formula: : Pressure difference (kPa) of mixed coke bed at high temperature.

[0037] Pressure difference of a reference coke (single high-quality coke) under the same conditions.

[0038] (4) Dynamic Solution-loss Balance (DSB) 1) Definition: This refers to evaluating the synchronicity of the dissolution process of each component in a mixed coke, to avoid drastic fluctuations in permeability due to asynchronous dissolution. (The ideal DSB value should be >0.7 to ensure synchronous dissolution processes.) 2) Formula: Mass loss of mixed coke Time required (minutes).

[0039] : The mass loss of the i-th type of single coke time.

[0040] (5) Gradient Size Coordination Index (GSCI) 1) Definition Evaluate the rationality of the gradient matching of coke particles of different sizes in the mixed coke to ensure that the particle size distribution forms a continuous support skeleton and avoid fine powder clogging the voids or excessive pores between coarse particles.

[0041] 2) Formula Parameter description: n: Number of mixed coke types (sorted by particle size from largest to smallest: coke 1 is the largest particle size, and coke n is the smallest particle size). wi: The proportion of the i-th type of coke Di: Characteristic particle size of the first type of coke (D50 median particle size is recommended). 3) Theoretical basis 1> Particle size gradient matching principle: The size ratio of adjacent coke particles should meet the following requirements. (Nippon Steel Blast Furnace Operation Standards). Natural logarithmic transformation can linearize ratio differences.

[0042] 2> Pore structure stability: Excessive particle size gradient (e.g.) This can lead to the inability of fine particles to effectively fill the gaps between coarse particles, resulting in a "bridging effect"; too small a gradient (such as...) Then the complementary advantage of granularity is lost.

[0043] 3> Industrial verification data: POSCO's practice shows that when the absolute value of GSCI is <0.33, the pressure difference fluctuation of the mixed coke bed is reduced by 40%; after Ansteel introduced this indicator, the furnace condition abnormality rate decreased by 18%.

[0044] 4) Calculation Example step: 1> Sort by particle size: 2> Calculate the gradient of adjacent pairs: A-B pair: B-C pair: 3> Calculate the weights: Weights of A and B: 0.4 + 0.3 = 0.7 B-C weight: 0.3 + 0.3 = 0.6 4> Calculate GSCI: Evaluation: GSCI=0.418>0.3, the ratio needs to be adjusted or intermediate particle size coke needs to be introduced.

[0045] 2. Prediction Model Construction (1) Experimental design: According to particle size (coarse particles >25mm, medium particles 15-25mm, fine particles <15mm) and reactivity (CRI≥35%, 25-35%, <25%), cross-proportioning experiments were conducted; (2) Database establishment: Record CRIc, CSRGm, CPR, DSB, GSCI and coke cost to form a multidimensional dataset; 3) Calculation of the Economic Efficiency Index (CEQR): 1) Definition Taking into account CRIC, CSRGm, DSB, GSCI, and CPR, the coke blending scheme with the best cost performance was selected.

[0046] 2) Formula: 3) Parameter description: PerformanceIndex=CSRGm adj ×CRIc adj ×CPR adj ×DSB adj ×GSCI adj ×10 5 1> Gradient dissolution intensity matching degree (CSRGm): When 0.8≤CSRGm≤1.0, it is 1; when CSRGm<0.8 or CSRGm>1.0, it decreases linearly to 0.

[0047] When CSRGm≤0.8, CSRGm adj =CSRGm / 0.8 When 0.8 <CSRGm≤1.0,CSRGm adj =1 When CSRGm > 1.0, CSRGm adj =(1.6-CSRGm) / 0.6 2> Mixed Reactivity Index (CRIc): Sets an industry benchmark CRIc max =40; The lower the CRIc score, the higher the score, decreasing linearly to 0. CRIc adj =max(0,1-CRIc / CRIc max ) 3> Coefficient of air permeability (CPR): When CPR≤0, it equals 1 (air permeability is better than the benchmark); when CPR>0, it linearly decreases to 0. CPR adj =max(0,1-CPR) 4> Dissolution Synchronicity Index (DSB): When DSB ≥ 0.7, it equals 1; when DSB < 0.7, it decreases linearly to 0. DSB adj =min(1,DSB / 0.7) 5. Gradient Size Gradient Compatibility Coefficient (GSCI): When GSCI ≤ 0.3, it is 1; when GSCI > 0.3, it decreases linearly to 0. GSCI adj =max(0,1-(GSCI-0.3) / 0.3).

[0048] The specific calculation method of this invention is as follows: 1. Data Input: 2. Design proportions: Based on particle size (coarse particles > 25 mm, medium particles 15-25 mm, fine particles < 15 mm), coke A and B belong to coarse particle size, while coke C belongs to medium particle size.

[0049] Based on reactivity (CRI≥35%, 25-35%, <25%), coke A and B are classified as highly reactive, while coke C is classified as low reactive.

[0050] 1) Proportioning principle • Complementary particle size: Coarse particles (A, B) are paired with medium particles (C) to avoid the risk of bridging caused by the absence of fine particles.

[0051] • Reactivity balance: High reactivity (A, B) and low reactivity (C) work together to control the synchronicity of dissolution loss (DSB).

[0052] 2) Proportioning scheme 3. Calculation of core parameters 4. Economic Calculation With a baseline value set at 1, the CEQR results show that Schemes 1 and 2 have values ​​lower than the baseline value, failing to meet the furnace feeding conditions. Therefore, Schemes 1 and 2 are not recommended as blending schemes for coke. Schemes 3 and 4 have values ​​higher than the baseline value, meeting the furnace feeding conditions. Scheme 4, with its higher value, better meets the requirements for coke performance and cost. In conclusion, Scheme 4 is recommended as the optimal coke blending scheme.

[0053] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating the performance of mixed coke based on multidimensional parameters, characterized in that, include: Obtain relevant data on the mixed coke, including at least particle size distribution, reactivity index, and strength index; A multidimensional performance parameter system is constructed based on the relevant data. This system is used to characterize the performance of the mixed coke in the blast furnace. The mixed coke is then comprehensively evaluated using this multidimensional performance parameter system to obtain evaluation results. Based on the evaluation results and economic indicators, a blending optimization scheme is generated to guide the selection of mixed coke blends.

2. The method for evaluating the performance of mixed coke based on multidimensional parameters according to claim 1, characterized in that, The acquisition of relevant data for the mixed coke includes: extracting particle size distribution data of each component from the composition of the mixed coke, wherein the particle size distribution data is used to characterize the proportion of coke with different particle sizes; acquiring reactivity indices of each component, wherein the reactivity indices are used to characterize the dissolution rate of coke in the blast furnace; acquiring strength indices of each component, wherein the strength indices are used to characterize the support capacity of coke; and integrating the particle size distribution data, the reactivity indices, and the strength indices into the relevant data for subsequent construction of a multidimensional performance parameter system.

3. The method for evaluating the performance of mixed coke based on multidimensional parameters according to claim 1, characterized in that, The construction of a multidimensional performance parameter system based on the relevant data includes: calculating a comprehensive gradient dissolution intensity matching degree based on the relevant data, wherein the comprehensive gradient dissolution intensity matching degree is used to evaluate the rationality of intensity matching of different reactive cokes; calculating a weighted reaction index of mixed coke, wherein the weighted reaction index of mixed coke is used to characterize the overall dissolution rate of mixed coke; calculating a mixed air permeability resistance coefficient, wherein the mixed air permeability resistance coefficient is used to reflect the degree of deterioration of air permeability of the mixed coke bed; calculating a dynamic dissolution balance index, wherein the dynamic dissolution balance index is used to evaluate the synchronicity of the dissolution process of each component; calculating a particle size gradient coordination coefficient, wherein the particle size gradient coordination coefficient is used to evaluate the continuity of particle size distribution; and integrating the above parameters into the multidimensional performance parameter system.

4. The method for evaluating the performance of mixed coke based on multidimensional parameters according to claim 1, characterized in that, The comprehensive evaluation of the blended coke using the multidimensional performance parameter system includes: obtaining the corresponding evaluation standard value for each parameter in the multidimensional performance parameter system; scoring each parameter according to the evaluation standard value to obtain the scoring result of each parameter; weighting the scoring results to generate a comprehensive evaluation score; and determining the performance level of the blended coke based on the comprehensive evaluation score, wherein the performance level is used as the evaluation result for the generation of subsequent blending optimization schemes.

5. The method for evaluating the performance of mixed coke based on multidimensional parameters according to claim 1, characterized in that, The step of generating a blending optimization scheme based on the evaluation results and economic indicators includes: obtaining cost data of the mixed coke, the cost data being used to characterize the economic input of different blending schemes; calculating an economic index based on the evaluation results and the cost data, the economic index being used to characterize the balance between performance and cost; comparing the magnitude of the economic index for different blending schemes; and selecting the blending scheme with the higher economic index as the blending optimization scheme based on the comparison results, which is used to guide the actual blending of mixed coke.

6. The method for evaluating the performance of mixed coke based on multidimensional parameters according to claim 1, characterized in that, The construction of a multidimensional performance parameter system based on the relevant data includes: obtaining a multidimensional dataset of the relevant data through experimental design, wherein the experimental design includes at least a cross combination of granularity gradation and reactivity gradation; establishing a performance database based on the multidimensional dataset, wherein the performance database is used to store parameter values ​​under different ratios; calibrating the parameters of the multidimensional performance parameter system through the performance database to obtain calibrated parameter values; and completing the construction of the multidimensional performance parameter system based on the calibrated parameter values ​​for subsequent comprehensive evaluation.

7. The method for evaluating the performance of mixed coke based on multidimensional parameters according to claim 1, characterized in that, The comprehensive evaluation of the blended coke using the multidimensional performance parameter system includes: obtaining the weight coefficients of each parameter in the multidimensional performance parameter system, wherein the weight coefficients are used to characterize the degree of influence of each parameter on the comprehensive evaluation; performing weighted calculations on each parameter according to the weight coefficients to obtain weighted parameter values; generating a comprehensive performance index from the weighted parameter values, wherein the comprehensive performance index is used to characterize the overall performance of the blended coke; and determining the evaluation result based on the comprehensive performance index for subsequent economic indicator analysis and proportion optimization.

8. A performance evaluation system for mixed coke based on multi-dimensional parameters, characterized in that, include: The data acquisition module is used to acquire relevant data of the mixed coke, including at least particle size distribution, reactivity index and intensity index. The system construction module is used to construct a multi-dimensional performance parameter system based on the relevant data. The multi-dimensional performance parameter system is used to characterize the performance of the mixed coke in the blast furnace. The comprehensive evaluation module is used to comprehensively evaluate the mixed coke through the multi-dimensional performance parameter system and obtain the evaluation results. The scheme production module is used to generate a blending optimization scheme based on the evaluation results and economic indicators. The blending optimization scheme is used to guide the selection of the blended coke.

9. A device for evaluating the performance of mixed coke based on multi-dimensional parameters, characterized in that, The electronic device includes: processor; A memory storing computer-readable instructions, which, when loaded and executed by the processor, implement the multi-dimensional parameter-based performance evaluation method for mixed coke as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores program code that can be called by a processor to execute the multi-dimensional parameter-based performance evaluation method for mixed coke as described in any one of claims 1 to 7.

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