Method for adapting 7.6 m coke oven customized coke to 2300 m < 3 > blast furnace production

Abstract

The invention relates to the technical field of metallurgical engineering, in particular to a method for adapting 7.6 m coke oven customized coke to production of a 2300 m < 3 > blast furnace, which comprises the following steps: S1, setting initial performance indexes of the customized coke for the 2300 m < 3 > blast furnace; s2, determining an adaptive coal blending scheme, and executing coking production in a 7.6 m coke oven to obtain a first batch of customized coke; s3, the furnace condition of the blast furnace is evaluated according to the actual performance indexes, and the blast furnace is adjusted to be in a stable and smooth state; s4, evaluating the adaptability of the performance index of the first batch of customized coke to the operation of the blast furnace; s5, adjusting the coal blending scheme to produce a new batch of customized coke; and S6, by repeating the step S5, the blast furnace achieves collaborative optimization. According to the method, a closed-loop linkage optimization mechanism between coke performance and blast furnace operation is constructed, so that coke quality control, stable blast furnace operation and collaborative optimization of pig iron cost and coal blending cost are realized.

Description

Technical Field

[0001] This invention relates to the field of metallurgical engineering technology, and more particularly to a customized coke system for a 7.6m coke oven adapted to 2300m³ coke production. 3 Methods of blast furnace production. Background Technology

[0002] In large-scale blast furnace ironmaking processes, coke serves as the primary heat source and structural material. Its physical strength, chemical reactivity, and structural stability have a decisive impact on the smooth operation stability, thermal efficiency, and pig iron quality of the blast furnace. As blast furnace volumes continue to expand, the requirements for coke performance adaptability also increase, especially in 2300m³ blast furnaces. 3 In blast furnaces of 1000 and above, key indicators such as coke's crush resistance, reactivity, post-reaction strength, and sulfur content must be kept within a relatively strict control range. At the same time, in order to balance ironmaking costs and coke quality, the coking process needs to precisely control coke performance through coal blending schemes to better adapt it to the thermal structure and operating procedures of a specific blast furnace.

[0003] However, current coke production mainly relies on standard coal blending routes, lacking customized performance indicators and closed-loop feedback mechanisms for specific blast furnaces. This results in insufficient matching between coke performance and blast furnace thermal state, leading to problems such as tuyere fluctuations, burden collapse, and increased coke ratio, severely restricting pig iron production capacity and cost optimization. Furthermore, dynamic evaluation and multi-round adjustments of coke performance typically depend on empirical judgment, lacking quantitative modeling and optimization path guidance. Therefore, there is an urgent need to propose a customized coke system for 7.6m coke ovens adapted to 2300m blast furnaces. 3 The method of blast furnace production aims to achieve optimal synergy between blast furnace operating status, pig iron cost, coke quality, and coal blending cost. Summary of the Invention

[0004] To achieve the above objectives, this invention provides a customized coke system for a 7.6m coke oven adapted to a 2300m coke oven. 3 Methods of blast furnace production.

[0005] A customized coke for a 7.6m coke oven, compatible with 2300m³ coke production. 3 The method of blast furnace production includes the following steps: S1: Set for 2300m 3 Preliminary performance indicators of custom coke for blast furnaces; S2: Based on preliminary performance indicators, a suitable coal blending scheme was determined through comparative analysis of testing and analysis, and coking production was carried out in a 7.6m coke oven to obtain the first batch of customized coke; S3: Obtain the actual performance indicators of the first batch of customized coke, evaluate the blast furnace condition based on the actual performance indicators, and adjust the blast furnace operation system accordingly to bring the blast furnace to a stable and smooth operating state. S4: Under the premise of stable and smooth operation of the blast furnace, monitor the actual operating status and consumption indicators of the blast furnace, and evaluate the adaptability of the performance indicators of the first batch of customized coke to the operation of the blast furnace. S5: Based on the evaluation results of S4, generate optimization directions for coke performance indicators; based on these optimization directions, adjust the coal blending scheme to produce a new batch of customized coke. S6: By repeating S5, the blast furnace operating status, pig iron cost, coke quality and coal blending cost are optimized in a coordinated manner.

[0006] Optionally, the preliminary performance indicators include the target range of shatter resistance M40, post-reaction strength CSR, reactivity CRI, and sulfur content, wherein the shatter resistance M40 is not less than 85%; the reactivity CRI is controlled between 20% and 25%; the post-reaction strength CSR is not less than 65%; and the sulfur content of coke is controlled between 0.8% and 1.1%.

[0007] Optionally, S2 specifically includes: S21: Based on the target values ​​of crush resistance, reactivity, post-reaction strength and sulfur content determined in S1, select representative coking coal samples to test the performance of single coal and blended coal, and obtain data on volatile matter, coke residue characteristics, coking properties and sulfur content of each coal sample. S22: Based on the test results, use the coking coal blending calculation model to perform performance fitting analysis, screen the coal blending ratio scheme that meets the target indicators, and determine the blending structure of prime coking coal, lean coal, and fat coal. S23: Organize small-batch trial coking according to the determined coal blending scheme, and complete the coking operation in a 7.6m coke oven by executing the standard process flow to form the first batch of customized coke samples; S24: Collect the first batch of customized coke samples and test their crush resistance, CRI, CSR and sulfur content to verify whether they meet the preliminary performance indicators.

[0008] Optionally, S22 specifically includes: S221: Input the performance parameters of each coal sample, including coke residue characteristic index, caking index, volatile matter, ash content and sulfur content, construct a multi-coal attribute database, and assign corresponding coal blending weight variables to each coal type; S222: Calculate the theoretical coke performance value under coal blending combination based on the weighted linear regression model; S223: Match the theoretical coke performance values ​​with the coke performance target range set in S1, and select all coal blending schemes that meet the following conditions: , , , ; S224: In coal blending schemes that meet the target indicators, the preferred blending structure is a combination of 60% to 80% prime coking coal, 15% to 25% lean coal, and 5% to 15% fat coal.

[0009] Optionally, S3 specifically includes: S31: Conduct tests and analyses on the first batch of customized coke samples to obtain their actual performance indicators, including crush resistance strength M40, reactivity CRI, post-reaction strength CSR, and sulfur content S, and generate a coke actual performance report. S32: Input the actual performance indicators into the preset blast furnace thermal state assessment model to evaluate the impact of coke reactivity and strength on the structure of the tuyer burnout zone and the thermal state of the hearth, and identify the risks of poor material column permeability, gas flow deviation or soft melting zone fluctuation. S33: If the assessment results show that the coke performance indicators deviate from the target values, corresponding adjustment measures shall be implemented according to different types of deviation. S34: Continuously monitor the tuyere temperature fluctuation, tapping interval and furnace pressure difference to confirm whether the blast furnace operation has entered a stable and smooth operating range, until the index fluctuation value returns to the set tolerance range.

[0010] Optionally, S32 specifically includes: S321: Input the actual measured coke performance indicators into the preset blast furnace thermal state evaluation model, and combine them with the current blast furnace operating parameters to construct a simulation calculation field of the furnace thermal state and airflow distribution. S322: Using coke reactivity and strength parameters, simulate the coke gasification rate and strength loss in the burnout zone, and calculate the average burnout length of coke in the tuyeres area. Thermal stability length of the soft melting zone ; S323: Identify abnormal features in simulation results. An operational risk is determined to exist when one of the following conditions is met: like This indicates that the coke is burning out too quickly, posing a risk of gas flow deviation. like This indicates that the soft melt band support is unstable, and there is a risk of reduced material column permeability and material collapse. If the temperature fluctuation range of the furnace hearth thermal stability zone It was determined that there is a risk of fluctuation in the soft melt zone.

[0011] Optionally, the adjustment measures corresponding to S33 include: Measure 1: When the reactivity CRI is higher than 25%, the theoretical combustion temperature of the tuyeres needs to be reduced, the blast furnace blast temperature should be lowered by 30-50°C, and the oxygen enrichment rate should be reduced by 1%-2% to reduce the coke reaction rate. Measure 2: When the post-reaction strength CSR is less than 65%, increase the coke ratio in the furnace by 10-20 kg / t to alleviate the problem of weak skeleton support and poor heat absorption capacity caused by insufficient coke thermal strength. Measure 3: When the sulfur content of coke is higher than 1.1%, ensure sufficient heat regime and appropriately increase slag basicity to ensure blast furnace desulfurization efficiency; Measure 4: When the crush resistance strength M40 is less than 85%, reduce the fabric angle by 2° to 3° to reduce the vertical drop distance of the coke and reduce secondary crushing of the coke.

[0012] Optionally, S4 specifically includes: S41: After confirming that the blast furnace is in a stable and smooth operating state, continuously collect operating data, including unit pig iron to coke ratio, coke particle size distribution, tuyere temperature, hot blast pressure, tapping interval, gas utilization rate and pig iron sulfur content. S42: Perform time series normalization on the operating data, extract the changing trends of core indicators that represent the impact on coke performance, and form a blast furnace-coke operating performance characteristic set; S43: The coke ratio, sulfur content, and iron tapping interval fluctuation rate are used as evaluation factors for the blast furnace's compatibility with coke, and a correspondence is established with the actual coke performance indicators in S3. The compatibility influence coefficient of each performance indicator on the operating results is calculated. ; S44: Output an evaluation report indicating the degree to which the current coke indicators are suitable for blast furnace operation.

[0013] Optionally, S5 specifically includes: S51: Based on the coke compatibility influence coefficient obtained from the evaluation in S4 And the direction of deviation between coke performance indicators and operational results, to determine the optimization direction of each performance parameter, specifically including: like If the performance indicators have not reached the target upper limit, then the performance parameters are identified as areas for improvement. like If the performance indicators do not reach the target lower limit, then the performance parameters are determined to be in a direction that can be reduced. If the current operating indicators deviate from the ideal value, then the coke performance indicators with the highest correlation with them should be the primary optimization targets. S52: Based on the optimization direction and combined with the coal type attribute database, the coal blending optimization module is invoked to perform goal-oriented coal blending and selection. Its objective function is: ,in, For the first The coal mix ratio variable satisfies ; The coke number calculated under the current combination Performance; To optimize the target value; Weights for the importance of each performance indicator; S53: Output the coal blending ratio structure that satisfies the condition of minimizing the target deviation, generate a new round of customized coke coal blending scheme, and submit it to the coke oven end for the next batch of coking production.

[0014] Optionally, S6 specifically includes: S61: Establish a multi-objective value evaluation system for synergistic optimization, including blast furnace operation stability target, pig iron cost target, coke quality target, and coal blending cost target: S62: After completing each round of S5, extract the current batch coal blending scheme, coke performance, blast furnace operating parameters and economic data, and record the corresponding four evaluation index values ​​as the current actual values; S63: Based on the results of multiple rounds of S5 iterations, a multi-objective evolutionary algorithm optimization model is constructed, adopting the form of an aggregate objective function, the expression of which is: ,in, For the first Round The actual value of the indicator; For the first The target value of each indicator; These are the weighting coefficients for each indicator; S64: Compare the results of each iteration with the historical best value. If the aggregate objective function value decreases by more than the set threshold, save the current coal blending scheme and enter the next round of S5 optimization. If the optimization magnitude is less than the set threshold for three consecutive rounds, it is determined that the optimal collaborative state has been achieved, the iteration is terminated and the final customized coal blending scheme is output.

[0015] The beneficial effects of this invention are: This invention achieves dynamic adaptation between customized coke blending schemes and actual blast furnace operating conditions by constructing a multi-round closed-loop linkage mechanism between coke performance, blast furnace operation, and cost constraints. This solves the problem that traditional coking coal blending modes cannot accurately respond to the operating status of large blast furnaces, and improves the pertinence of coke performance control and the stability of the ironmaking process. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the production method according to an embodiment of the present invention; Figure 2This is a schematic diagram of the process for evaluating the blast furnace condition according to an embodiment of the present invention. Detailed Implementation

[0018] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. It should also be noted that, to make the embodiments more comprehensive, the following embodiments are the best and preferred embodiments, and those skilled in the art can use other alternative methods to implement some well-known technologies; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.

[0019] It should be noted that the use of terms such as "an embodiment," "an embodiment," "an exemplary embodiment," and "some embodiments" in the specification indicates that the described embodiment may include a specific feature, structure, or characteristic, but not every embodiment necessarily includes that specific feature, structure, or characteristic. Furthermore, when a specific feature, structure, or characteristic is described in connection with an embodiment, implementing such a feature, structure, or characteristic in conjunction with other embodiments (whether explicitly described or not) should be within the knowledge of those skilled in the art.

[0020] Generally, terms can be understood at least partly from their use in context. For example, depending at least partly on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in a singular sense, or a combination of features, structures, or characteristics in a plural sense. Additionally, the term "based on" can be understood not necessarily to convey an exclusive set of factors, but rather, alternatively, depending at least partly on the context, to allow for the presence of other factors that are not necessarily explicitly described.

[0021] like Figures 1-2 As shown, a customized coke oven for a 7.6m coke oven is adapted to a 2300m... 3 The method of blast furnace production includes the following steps: S1: Set for 2300m 3 Preliminary performance indicators of custom coke for blast furnaces; Preliminary performance indicators include shatter resistance M40, post-reaction strength CSR, reactivity CRI, and target range of sulfur content. Among them, shatter resistance M40 is not less than 85%; reactivity CRI is controlled between 20% and 25%; post-reaction strength CSR is not less than 65%; and coke sulfur content is controlled between 0.8% and 1.1%.

[0022] S2: Based on preliminary performance indicators, a suitable coal blending scheme was determined through comparative analysis of testing and analysis, and coking production was carried out in a 7.6m coke oven to obtain the first batch of customized coke; S2 specifically includes: S21: Based on the target values ​​of crush resistance, reactivity, post-reaction strength and sulfur content determined in S1, select representative coking coal samples to test the performance of single coal and blended coal, and obtain data on volatile matter, coke residue characteristics, coking properties and sulfur content of each coal sample. S22: Based on the test results, use the coking coal blending calculation model to perform performance fitting analysis, screen the coal blending ratio scheme that meets the target indicators, and determine the blending structure of prime coking coal, lean coal, and fat coal. S23: Organize small-batch trial coking according to the determined coal blending scheme, and complete the coking operation in a 7.6m coke oven by executing the standard process flow to form the first batch of customized coke samples; S24: Collect the first batch of customized coke samples and test their crush resistance, CRI, CSR and sulfur content to verify whether they meet the preliminary performance indicators and provide basic data for subsequent blast furnace adaptation.

[0023] S22 specifically includes: S221: Input the performance parameters of each coal sample, including coke residue characteristic index, caking index, volatile matter, ash content and sulfur content, construct a multi-coal attribute database, and assign corresponding coal blending weight variables to each coal type; S222: Based on the weighted linear regression model, the theoretical coke performance value under the coal blending combination is calculated using the following formula: ; ; ; ;in: For the first The proportion of coal types meets the requirements. ; , , , The first The crush resistance, reactivity, post-reaction strength, and sulfur content of coke obtained by coking a single type of coal; S223: Match the theoretical coke performance values ​​with the coke performance target range set in S1, and select all coal blending schemes that meet the following conditions: , , , ; S224: Among the coal blending schemes that meet the target indicators, the combination of 60% to 80% prime coking coal, 15% to 25% lean coal, and 5% to 15% fat coal is selected as the preferred blending structure, and the coal blending ratio scheme for the next step of trial coking is output.

[0024] S3: Obtain the actual performance indicators of the first batch of customized coke, evaluate the blast furnace condition based on the actual performance indicators, and adjust the blast furnace operation system accordingly to bring the blast furnace to a stable and smooth operating state. S3 specifically includes: S31: Conduct tests and analyses on the first batch of customized coke samples to obtain their actual performance indicators, including crush resistance strength M40, reactivity CRI, post-reaction strength CSR, and sulfur content S, and generate a coke actual performance report. S32: Input the actual performance indicators into the preset blast furnace thermal state assessment model to evaluate the impact of coke reactivity and strength on the structure of the tuyer burnout zone and the thermal state of the hearth, and identify the risks of poor material column permeability, gas flow deviation or soft melting zone fluctuation. S33: If the assessment results show that the coke performance indicators deviate from the target values, corresponding adjustment measures shall be implemented according to different types of deviation. S34: Continuously monitor the tuyere temperature fluctuation, tapping interval and furnace pressure difference to confirm whether the blast furnace operation has entered a stable and smooth operating range until the index fluctuation value returns to the set tolerance range; through the above steps, the blast furnace operation status can be refined and dynamically adjusted based on the actual performance of coke, ensuring that the first batch of customized coke is successfully adapted to blast furnace smelting.

[0025] S32 specifically includes: S321: Input the actual measured coke performance indicators into the preset blast furnace thermal state evaluation model, and combine them with the current blast furnace operating parameters to construct a simulation calculation field of the furnace thermal state and airflow distribution. S322: Using coke reactivity and strength parameters, simulate the coke gasification rate and strength loss in the burnout zone, and calculate the average burnout length of coke in the tuyeres area. Thermal stability length of the soft melting zone The formula is: ; ,in, The heat output per unit mass of coke; Heat utilization rate per unit volume; The bulk density of coke; The temperature difference between the upper and lower parts of the softening zone; Thermal conductivity, This represents the temperature gradient within the furnace. S323: Identify abnormal features in simulation results. An operational risk is determined to exist when one of the following conditions is met: like This indicates that the coke is burning out too quickly, which may cause the burnout zone of the tuyere to collapse, posing a risk of gas flow deviation. like This indicates that the soft melt band support is unstable, and there is a risk of reduced material column permeability and material collapse. If the temperature fluctuation range of the furnace hearth thermal stability zone The above thermal modeling calculations and fluctuation identification can be used to quantitatively analyze the stability of key areas of the blast furnace based on coke performance, which helps to promptly identify operating risks caused by coke mismatch.

[0026] The corresponding adjustments in S33 include: Measure 1: When the reactivity CRI is higher than 25%, the theoretical combustion temperature of the tuyeres needs to be reduced, the blast furnace blast temperature should be lowered by 30-50°C, and the oxygen enrichment rate should be reduced by 1%-2% to reduce the coke reaction rate. Measure 2: When the post-reaction strength CSR is below 65%, increase the coke ratio in the furnace by 10-20 kg / t to alleviate the problems of weak skeleton support and poor heat absorption capacity caused by insufficient coke thermal strength; appropriately increase the blast temperature and oxygen enrichment rate to supplement the hearth heat; reduce the smelting intensity and slow down the feeding speed to give the coke sufficient reaction time; promptly remove slag and iron from the furnace to prevent hearth accumulation and suspended material. Measure 3: When the sulfur content of coke is higher than 1.1%, ensure sufficient heat regime and appropriately increase slag basicity to ensure blast furnace desulfurization efficiency; Measure 4: When the crush resistance strength M40 is less than 85%, reduce the cloth angle by 2° to 3° to reduce the vertical drop distance of coke and reduce secondary crushing of coke; appropriately reduce the blast energy and smelting intensity to reduce the impact and wear on coke.

[0027] S4: Under the premise of stable and smooth operation of the blast furnace, monitor the actual operating status and consumption indicators of the blast furnace, and evaluate the adaptability of the performance indicators of the first batch of customized coke to the operation of the blast furnace. S4 specifically includes: S41: After confirming that the blast furnace is in a stable and smooth operating state, continuously collect operating data, including the unit pig iron coke ratio (kg / t), coke particle size distribution, tuyere temperature, hot blast pressure, tapping interval, gas utilization rate and pig iron sulfur content. S42: Perform time series normalization on the operating data, extract the changing trends of core indicators that represent the impact on coke performance, and form a blast furnace-coke operating performance characteristic set; S43: The coke ratio, sulfur content, and iron tapping interval fluctuation rate are used as evaluation factors for the blast furnace's compatibility with coke, and a correspondence is established with the actual coke performance indicators in S3. The compatibility influence coefficient of each performance indicator on the operating results is calculated. The formula is: ,in, Indicates the first The performance indicators of coke affect the operating results (e.g., focal ratio) adaptation influence coefficient; These are performance indicators for coke (such as M40, CRI, CSR, etc.). This indicates the degree of impact of changes in indicators on operational performance, assuming other variables remain constant. S44: Output an evaluation report indicating the degree of suitability of the current coke indicators for blast furnace operation, which will guide the coal blending optimization and indicator adjustment in the subsequent S5.

[0028] S5: Based on the evaluation results of S4, generate optimization directions for coke performance indicators; based on these optimization directions, adjust the coal blending scheme to produce a new batch of customized coke. S5 specifically includes: S51: Based on the coke compatibility influence coefficient obtained from the evaluation in S4 And the direction of deviation between coke performance indicators and operational results, to determine the optimization direction of each performance parameter, specifically including: like If the performance indicators have not reached the target upper limit, then the performance parameters are identified as areas for improvement. like If the performance indicators do not reach the target lower limit, then the performance parameters are determined to be in a direction that can be reduced. If the current operating indicators deviate from the ideal value (such as high coke ratio or excessive sulfur in molten iron), then the coke performance indicators with the highest correlation with them should be the primary targets for optimization. S52: Based on the optimization direction and combined with the coal type attribute database, the coal blending optimization module is invoked to perform goal-oriented coal blending and selection. Its objective function is: ,in, For the first The coal mix ratio variable satisfies ; The coke number calculated under the current combination Performance; To optimize the target value; The importance weights of each performance indicator are derived from the normalized results of the adaptation influence coefficient. S53: Output the coal blending ratio structure that satisfies the condition of minimizing the target deviation, generate a new round of customized coke coal blending scheme, and submit it to the coke oven end for the next batch of coking production; through the above optimization process, the direction of coke performance optimization is deduced from the blast furnace feedback data, and it is specifically implemented in the adjustment of the coal blending ratio structure, forming an efficient closed-loop improvement mechanism.

[0029] S6: By repeating S5, the blast furnace operating status, pig iron cost, coke quality and coal blending cost are optimized in a coordinated manner, thereby establishing and completing the customized linkage and adaptation between coking coal blending and blast furnace ironmaking. S6 specifically includes: S61: Establish a multi-objective value evaluation system for synergistic optimization, including blast furnace operation stability target, pig iron cost target, coke quality target, and coal blending cost target: Blast furnace operation stability targets: no hanging, collapsing, or slippage phenomena; blast furnace fuel ratio fluctuation less than 20 kg / t; utilization coefficient greater than 2.60 t / m³. 3 •d, the fluctuation rate of the iron tapping interval is no more than 5%, and the fluctuation range of the tuyer temperature is no more than ±30℃; Cost target for pig iron: The total cost per unit of molten iron should be controlled below the set upper limit (e.g., 2100 yuan / t); Coke quality targets: M40 ≥ 85%, CRI of reactivity controlled at 20%–25%; CSR of post-reaction strength not less than 65%; sulfur content of coke controlled at 0.8%–1.1%.

[0030] Coal blending cost target: Minimize the unit coke coal blending cost while ensuring coke quality meets standards; S62: After completing each round of S5, extract the current batch coal blending scheme, coke performance, blast furnace operating parameters and economic data, and record the corresponding four evaluation index values ​​as the current actual values; S63: Based on the results of multiple rounds of S5 iterations, a multi-objective evolutionary algorithm optimization model is constructed, adopting the form of an aggregate objective function, the expression of which is: ,in, For the first Round The actual value of the indicator; For the first The target value of each indicator; The weighting coefficients for each indicator are set according to process priority to meet the following requirements. ; S64: Compare the results of each iteration with the historical best value. If the aggregate objective function value decreases by more than the set threshold, save the current coal blending scheme and enter the next round of S5 optimization. If the optimization magnitude is less than the set threshold for three consecutive rounds, it is determined that the optimal collaborative state has been achieved, the iteration is terminated and the final customized coal blending scheme is output.

[0031] This invention encompasses any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. To provide the public with a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments; however, those skilled in the art will fully understand the invention even without these details. Furthermore, to avoid unnecessary misunderstanding of the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.

[0032] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A customized coke for a 7.6m coke oven, adapted to 2300m³ coke production. 3 The method of blast furnace production is characterized by, Includes the following steps: S1: Set for 2300m 3 Preliminary performance indicators of custom coke for blast furnaces; S2: Based on preliminary performance indicators, a suitable coal blending scheme was determined through comparative analysis of testing and analysis, and coking production was carried out in a 7.6m coke oven to obtain the first batch of customized coke; S3: Obtain the actual performance indicators of the first batch of customized coke, evaluate the blast furnace condition based on the actual performance indicators, and adjust the blast furnace operation system accordingly to bring the blast furnace to a stable and smooth operating state. S4: Under the premise of stable and smooth operation of the blast furnace, monitor the actual operating status and consumption indicators of the blast furnace, and evaluate the adaptability of the performance indicators of the first batch of customized coke to the operation of the blast furnace. S5: Based on the evaluation results of S4, generate optimization directions for coke performance indicators; Based on this optimization direction, the coal blending scheme was adjusted to produce a new batch of customized coke; S6: By repeating S5, the blast furnace operating status, pig iron cost, coke quality and coal blending cost are optimized in a coordinated manner.

2. A customized coke oven for a 7.6m coke oven, as described in claim 1, adapted to a 2300m³ coke production line. 3 The method of blast furnace production is characterized by, The preliminary performance indicators include the shatter resistance M40, post-reaction strength CSR, reactivity CRI, and target range of sulfur content. Specifically, the shatter resistance M40 is not less than 85%; the reactivity CRI is controlled between 20% and 25%; the post-reaction strength CSR is not less than 65%; and the sulfur content of coke is controlled between 0.8% and 1.1%.

3. A customized coke oven for a 7.6m coke oven, as described in claim 1, adapted for a 2300m³ coke production line. 3 The method of blast furnace production is characterized by, S2 specifically includes: S21: Based on the target values ​​of crush resistance, reactivity, post-reaction strength and sulfur content determined in S1, select representative coking coal samples to test the performance of single coal and blended coal, and obtain data on volatile matter, coke residue characteristics, coking properties and sulfur content of each coal sample. S22: Based on the test results, use the coking coal blending calculation model to perform performance fitting analysis, screen the coal blending ratio scheme that meets the target indicators, and determine the blending structure of prime coking coal, lean coal, and fat coal. S23: Organize small-batch trial coking according to the determined coal blending scheme, and complete the coking operation in a 7.6m coke oven by executing the standard process flow to form the first batch of customized coke samples; S24: Collect the first batch of customized coke samples and test their crush resistance, CRI, CSR and sulfur content to verify whether they meet the preliminary performance indicators.

4. A customized coke oven for a 7.6m coke oven, as described in claim 3, adapted for a 2300m³ coke production line. 3 The method of blast furnace production is characterized by, S22 specifically includes: S221: Input the performance parameters of each coal sample, including coke residue characteristic index, caking index, volatile matter, ash content and sulfur content, construct a multi-coal attribute database, and assign corresponding coal blending weight variables to each coal type; S222: Calculate the theoretical coke performance value under coal blending combination based on the weighted linear regression model; S223: Match the theoretical coke performance values ​​with the coke performance target range set in S1, and select all coal blending schemes that meet the following conditions: , , , ; S224: In coal blending schemes that meet the target indicators, the preferred blending structure is a combination of 60% to 80% prime coking coal, 15% to 25% lean coal, and 5% to 15% fat coal.

5. A customized coke oven for a 7.6m coke oven, as described in claim 1, adapted for a 2300m³ coke production line. 3 The method of blast furnace production is characterized by, S3 specifically includes: S31: Conduct tests and analyses on the first batch of customized coke samples to obtain their actual performance indicators, including crush resistance strength M40, reactivity CRI, post-reaction strength CSR, and sulfur content S, and generate a coke actual performance report. S32: Input the actual performance indicators into the preset blast furnace thermal state assessment model to evaluate the impact of coke reactivity and strength on the structure of the tuyer burnout zone and the thermal state of the hearth, and identify the risks of poor material column permeability, gas flow deviation or soft melting zone fluctuation. S33: If the assessment results show that the coke performance indicators deviate from the target values, corresponding adjustment measures shall be implemented according to different types of deviation. S34: Continuously monitor the tuyere temperature fluctuation, tapping interval and furnace pressure difference to confirm whether the blast furnace operation has entered a stable and smooth operating range, until the index fluctuation value returns to the set tolerance range.

6. A 7.6m coke oven customized coke adaptable to 2300m³ as described in claim 5. 3 The method of blast furnace production is characterized by, Specifically, S32 includes: S321: Input the actual measured coke performance indicators into the preset blast furnace thermal state evaluation model, and combine them with the current blast furnace operating parameters to construct a simulation calculation field of the furnace thermal state and airflow distribution. S322: Using coke reactivity and strength parameters, simulate the coke gasification rate and strength loss in the burnout zone, and calculate the average burnout length of coke in the tuyeres area. Thermal stability length of the soft melting zone ; S323: Identify abnormal features in simulation results. An operational risk is determined to exist when one of the following conditions is met: like This indicates that the coke is burning out too quickly, posing a risk of gas flow deviation. like This indicates that the soft melt band support is unstable, and there is a risk of reduced material column permeability and material collapse. If the temperature fluctuation range of the furnace hearth thermal stability zone It was determined that there is a risk of fluctuation in the soft melt band.

7. A customized coke oven for a 7.6m coke oven, as described in claim 1, adapted for a 2300m³ coke production line. 3 The method of blast furnace production is characterized by, The adjustment measures corresponding to S33 include: Measure 1: When the reactivity CRI is higher than 25%, the theoretical combustion temperature of the tuyeres needs to be reduced, the blast furnace blast temperature should be lowered by 30-50°C, and the oxygen enrichment rate should be reduced by 1%-2% to reduce the coke reaction rate. Measure 2: When the post-reaction strength CSR is less than 65%, increase the coke ratio in the furnace by 10-20 kg / t to alleviate the problem of weak skeleton support and poor heat absorption capacity caused by insufficient coke thermal strength. Measure 3: When the sulfur content of coke is higher than 1.1%, ensure sufficient heat regime and appropriately increase slag basicity to ensure blast furnace desulfurization efficiency; Measure 4: When the crush resistance strength M40 is less than 85%, reduce the fabric angle by 2° to 3° to reduce the vertical drop distance of the coke and reduce secondary crushing of the coke.

8. A 7.6m coke oven customized coke adaptable to 2300m³ as described in claim 1 3 The method of blast furnace production is characterized by, S4 specifically includes: S41: After confirming that the blast furnace is in a stable and smooth operating state, continuously collect operating data, including unit pig iron to coke ratio, coke particle size distribution, tuyere temperature, hot blast pressure, tapping interval, gas utilization rate and pig iron sulfur content. S42: Perform time series normalization on the operating data, extract the changing trends of core indicators that represent the impact on coke performance, and form a blast furnace-coke operating performance characteristic set; S43: The coke ratio, sulfur content, and iron tapping interval fluctuation rate are used as evaluation factors for the blast furnace's compatibility with coke, and a correspondence is established with the actual coke performance indicators in S3. The compatibility influence coefficient of each performance indicator on the operating results is calculated. ; S44: Output an evaluation report indicating the degree to which the current coke indicators are suitable for blast furnace operation.

9. A 7.6m coke oven customized coke adaptable to 2300m³ as described in claim 8. 3 The method of blast furnace production is characterized by, S5 specifically includes: S51: Based on the coke compatibility influence coefficient obtained from the evaluation in S4 And the direction of deviation between coke performance indicators and operational results, to determine the optimization direction of each performance parameter, specifically including: like If the performance indicators have not reached the target upper limit, then the performance parameters are identified as areas for improvement. like If the performance indicators do not reach the target lower limit, then the performance parameters are determined to be in a direction that can be reduced. If the current operating indicators deviate from the ideal value, then the coke performance indicators with the highest correlation with them should be the primary optimization targets. S52: Based on the optimization direction and combined with the coal type attribute database, the coal blending optimization module is invoked to perform goal-oriented coal blending and selection. Its objective function is: ,in, For the first The coal mix ratio variable satisfies ; The coke number calculated under the current combination Performance; To optimize the target value; Weights for the importance of each performance indicator; S53: Output the coal blending ratio structure that satisfies the condition of minimizing the target deviation, generate a new round of customized coke coal blending scheme, and submit it to the coke oven end for the next batch of coking production.

10. A 7.6m coke oven customized coke adaptable to 2300m³ as described in claim 1 3 The method of blast furnace production is characterized by, S6 specifically includes: S61: Establish a multi-objective value evaluation system for synergistic optimization, including blast furnace operation stability target, pig iron cost target, coke quality target, and coal blending cost target; S62: After completing each round of S5, extract the current batch coal blending scheme, coke performance, blast furnace operating parameters and economic data, and record the corresponding four evaluation index values ​​as the current actual values; S63: Based on the results of multiple rounds of S5 iterations, a multi-objective evolutionary algorithm optimization model is constructed, adopting the form of an aggregate objective function, the expression of which is: ,in, For the first Round The actual value of the indicator; For the first The target value of each indicator; These are the weighting coefficients for each indicator; S64: Compare the results of each iteration with the historical best value. If the aggregate objective function value decreases by more than the set threshold, save the current coal blending scheme and enter the next round of S5 optimization. If the optimization magnitude is less than the set threshold for three consecutive rounds, it is determined that the optimal collaborative state has been achieved, the iteration is terminated and the final customized coal blending scheme is output.

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