Iron ore cost performance evaluation method and device, electronic equipment and storage medium

Abstract

The invention provides an iron ore cost performance evaluation method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing. The method comprises the steps that the first molten iron cost is determined based on the first mixing proportion of multiple kinds of reference ore; mixing the target iron ore and the mixed ore of the multiple reference ores according to a second mixing ratio, and determining a second molten iron cost based on the second mixing ratio; and the cost performance of the target iron ore is determined based on the first molten iron cost, the second molten iron cost and the second mixing proportion. According to the iron ore cost performance evaluation method and device, the electronic equipment and the storage medium, the accuracy of the iron ore cost performance evaluation result can be improved.

Description

Technical Field

[0001] The present disclosure belongs to the field of data processing technology, and more specifically, relates to an iron ore cost performance evaluation method and device, electronic equipment, and storage medium. Background Art

[0002] At present, the prices of iron ores of various grades (iron content) in the market are different. The cost-effectiveness evaluation of iron ore can help enterprises determine whether to purchase high-grade but expensive ore or choose lower-priced but lower-grade ore. If low-grade ore can be more advantageous in terms of comprehensive cost after processing, then it can be purchased first, thereby effectively controlling the cost of raw material procurement.

[0003] The existing evaluation methods only focus on the main components of iron ore, such as iron grade (iron content), without considering the defects of iron ore / powder burnout, gangue content, harmful impurities and beneficial element content. The accuracy of the evaluation results needs to be improved. Summary of the invention

[0004] The purpose of the present disclosure is to provide a method and device for evaluating the cost performance of iron ore, an electronic device, and a storage medium to improve the accuracy of the evaluation results of the cost performance of iron ore.

[0005] According to a first aspect of an embodiment of the present disclosure, a method for evaluating the cost performance of iron ore is provided, comprising: determining a first molten iron cost based on a first mixing ratio of the plurality of benchmark ores; Mixing the target iron ore and a mixed ore of a plurality of reference ores according to a second mixing ratio, and determining a second molten iron cost based on the second mixing ratio; The cost performance of the target iron ore is determined based on the first molten iron cost, the second molten iron cost, and the second mixing ratio.

[0006] According to a second aspect of the embodiments of the present disclosure, there is provided an iron ore cost performance evaluation device, comprising: A first calculation module, configured to determine a first molten iron cost based on a first mixing ratio of a plurality of reference ores; A second calculation module, configured to mix the target iron ore and a mixed ore of a plurality of reference ores according to a second mixing ratio, and determine a second molten iron cost based on the second mixing ratio; The third calculation module is used to determine the cost performance of the target iron ore based on the first molten iron cost, the second molten iron cost, and the second mixing ratio.

[0007] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned iron ore cost-effectiveness evaluation method when executing the computer program.

[0008] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for evaluating the cost performance of iron ore are implemented.

[0009] The iron ore cost performance evaluation method and device, electronic device, and storage medium provided by the embodiments of the present disclosure have the following beneficial effects: In the disclosed embodiment, the benchmark ore is an ore widely recognized in the ironmaking industry and has relatively stable characteristics and quality standards. By selecting a variety of benchmark ores and combining them according to a first mixing ratio, the charge formula in actual production is simulated, which can reflect the more mature and conventional ironmaking raw material cost composition model in the industry. By calculating the various costs required to produce molten iron under this mixing ratio, including raw material procurement costs, processing costs, energy consumption costs, etc., the first molten iron cost obtained can be used as a benchmark reference value.

[0010] The target iron ore and a mixture of multiple benchmark ores are mixed according to a second mixing ratio. Since the characteristics of the target iron ore (such as iron grade, impurity content, reducibility, etc.) are different from those of the benchmark ore, it will change the chemical reaction process of the entire charge, energy demand and raw material procurement cost. By recalculating the molten iron cost, that is, the second molten iron cost, and comparing the first molten iron cost with the second molten iron cost, the cost-effectiveness of the target iron ore can be obtained.

[0011] Therefore, the disclosed embodiments can comprehensively evaluate the cost-effectiveness of the target iron ore in actual production through cost simulation experiments, which helps enterprises to quickly screen out the most cost-effective options among many iron ore varieties, optimize procurement strategies, and reduce procurement costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0013] Figure 1 A schematic diagram of a process for evaluating the cost performance of iron ore provided in one embodiment of the present disclosure; Figure 2A structural block diagram of an iron ore cost performance evaluation device provided in one embodiment of the present disclosure; Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0014] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0015] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0016] Please refer to Figure 1 , Figure 1 A schematic flow chart of a method for evaluating the cost performance of iron ore provided in one embodiment of the present disclosure, the method comprising: S101: Determine a first molten iron cost based on a first mixing ratio of a plurality of reference ores.

[0017] In this embodiment, the benchmark ore is an ore that is widely recognized in the ironmaking industry and has relatively stable characteristics and quality standards. By selecting a variety of benchmark ores and combining them in a certain mixing ratio, the charge formula in actual production is simulated to reflect the more mature and conventional ironmaking raw material cost composition model in the industry. By calculating the various costs required to produce molten iron under this mixing ratio, including raw material procurement costs, processing costs, energy consumption costs, etc., the first molten iron cost obtained can be used as a benchmark reference value.

[0018] For example, suppose there are three benchmark ores A, B, and C, and their mixing ratio is 3:4:3. According to their respective market prices, reaction characteristics in the iron-making process and the required energy input, the comprehensive cost of producing each ton of molten iron is 500 yuan. This 500 yuan is the first molten iron cost.

[0019] In actual production, the selection and mixing ratio of the benchmark ore can be adjusted according to actual needs.

[0020] S102: Mix the target iron ore and a mixed ore of a plurality of reference ores according to a second mixing ratio, and determine a second molten iron cost based on the second mixing ratio.

[0021] In this embodiment, the target iron ore is the iron ore to be tested, and the target iron ore and a mixed ore of multiple benchmark ores are mixed according to a second mixing ratio. Since the characteristics of the target iron ore (such as iron grade, impurity content, reducibility, etc.) are different from those of multiple benchmark ores, it will change the chemical reaction process of the entire charge, energy demand and raw material procurement cost. By recalculating the molten iron cost, that is, the second molten iron cost, and comparing the first molten iron cost with the second molten iron cost, the molten iron cost of the target iron ore can be obtained, and the molten iron cost of the target iron ore is used as the cost-effectiveness of the target iron ore.

[0022] For example, the target iron ore X is mixed with the reference ores A, B, and C in the above embodiment according to a new second ratio, and the cost simulation is re-performed to obtain a cost of producing one ton of molten iron of 480 yuan, which is the second molten iron cost.

[0023] The mixing ratio of target iron ore and multiple benchmark ores can be manually specified based on empirical values ​​to ensure that the preset molten iron quality requirements are met. Usually, the proportion of target iron ore is between 10% and 20%.

[0024] S103: Determine the cost performance of the target iron ore based on the first molten iron cost, the second molten iron cost, and the second mixing ratio.

[0025] In this embodiment, by comparing the first molten iron cost and the second molten iron cost, combined with the second mixing ratio of the target iron ore and the reference ore, the cost performance of the target iron ore can be comprehensively measured. If the second molten iron cost is lower than the first molten iron cost, it indicates that the target iron ore has an advantage in reducing costs and has a high cost performance.

[0026] For example, in the aforementioned embodiment, the cost is reduced from 500 yuan to 480 yuan, so it can be preliminarily determined that the target iron ore X has a high cost performance and is worthy of further consideration for inclusion in the production raw material system.

[0027] It can be concluded from the above that this embodiment can comprehensively evaluate the cost-effectiveness performance of the target iron ore in actual production through the cost simulation experiment, which helps enterprises to quickly screen out the most cost-effective option among many iron ore varieties, optimize procurement strategies, and reduce procurement costs.

[0028] In one embodiment of the present disclosure, determining the cost performance of the target iron ore based on the first molten iron cost, the second molten iron cost, and the second mixing ratio includes: The cost performance ratio of the target iron ore is calculated based on the first formula; the first formula is:

[0029] in, represents the first molten iron cost, represents the second hot metal cost, Indicates the proportion of mixed ore of multiple base ores, Indicates the proportion of target iron ore, Indicates the cost performance of the target iron ore.

[0030] In this embodiment, the proportions of the target iron ore and the benchmark ore are used as their respective weights, and the weighted sum of the molten iron cost of the target iron ore and the first molten iron cost of the mixture of the benchmark ore is taken to obtain the second molten iron cost. Based on this, a relationship between the first molten iron cost, the second molten iron cost and the molten iron cost of the target iron ore can be constructed, that is, the first formula. By solving the first formula, the molten iron cost of the target iron ore can be obtained, and the molten iron cost of the target iron ore is used as the cost-effectiveness of the target iron ore.

[0031] It can be concluded from the above that this embodiment quantifies the cost performance evaluation of the target iron ore by constructing a relationship between the first molten iron cost, the second molten iron cost and the molten iron cost of the target iron ore, which is conducive to an intuitive comparison of the cost performance of different target iron ores.

[0032] In one embodiment of the present disclosure, determining the second molten iron cost based on the second mixing ratio includes: Determining a proportion of sintering auxiliary materials based on the second mixing ratio; The second molten iron cost is determined based on the second mixing ratio and the proportion of sintering auxiliary materials.

[0033] In this embodiment, during the ironmaking process, raw materials such as iron ore may initially be powdered or of uneven particle size. Powdered or finely granulated iron-containing raw materials (such as iron concentrate powder, rich ore powder), solvents (such as limestone, dolomite) and solid fuels (such as coke powder) are mixed in a certain proportion and roasted at high temperature to cause a series of physical and chemical changes in the bulk materials, and finally form a block of sintered ore. The chemical composition of the sintered ore is adjusted through the sintering process to better meet the requirements of blast furnace ironmaking. Among them, the solvent and solid fuel used are sintering auxiliary materials.

[0034] Since different ores have different chemical compositions and physical properties, the demand for sintering auxiliary materials also changes accordingly. For example, if the target iron ore has a high gangue component (such as silica content), it may be necessary to increase the proportion of sintering auxiliary materials such as limestone (as a solvent to neutralize the acidic gangue component) to ensure that the sintered ore has a suitable alkalinity and improve its metallurgical properties. Specifically, the proportion of sintering auxiliary materials corresponding to the second mixing ratio can be determined based on actual production experience.

[0035] The amount of each ore used in different proportions is different, so the cost will be different. At the same time, the different proportions of sintering auxiliary materials not only involve the procurement cost of auxiliary materials such as solvents, but also affect energy consumption due to the chemical reaction of auxiliary materials during the sintering process. For example, increasing the limestone ratio will increase the purchase cost of limestone on the one hand, and its decomposition reaction will consume more heat on the other hand, increasing energy costs. Therefore, the second molten iron cost can be accurately obtained by comprehensively considering the second mixing ratio and the proportion of sintering auxiliary materials.

[0036] In one embodiment of the present disclosure, determining the proportion of sintering auxiliary materials based on the second mixing ratio includes: The objective function is constructed with the goal of minimizing the cost of molten iron. The slag basicity meets the first set condition and the ratio of each material meets the second set condition as constraints. The objective function is solved to obtain the ratio of sintering auxiliary materials.

[0037] In this embodiment, the cost of molten iron is a key factor, which is affected by a variety of factors, including raw material costs, energy consumption, equipment depreciation, etc. By constructing an objective function to minimize the cost of molten iron, the purchase cost of sintering auxiliary materials, their impact on energy consumption during sintering and ironmaking, and their indirect impact on the final molten iron quality can be comprehensively considered. Cost changes caused by the change. For example, different sintering auxiliary materials (such as limestone, dolomite, etc.) have different prices, and their usage during the sintering process will affect the consumption of fuel and the cost of slag treatment during subsequent ironmaking.

[0038] Considering that slag basicity is a key factor affecting the smooth progress of the ironmaking process and the quality of molten iron, appropriate slag basicity can ensure that the slag has good fluidity, desulfurization ability and effective separation from molten iron. For example, if the slag basicity is too high, it may cause the slag to corrode the furnace lining more and increase the equipment maintenance cost; while if the basicity is too low, it may not be able to effectively remove impurities such as sulfur in the molten iron. Therefore, in the ironmaking process, the slag basicity needs to be limited to a reasonable range.

[0039] At the same time, it is important to consider that the ratio of each material not only affects the quality of the sintered ore, but also has a chain reaction on the cost and efficiency of the entire ironmaking process. For example, there needs to be a reasonable ratio between the iron-containing raw materials, fuel and sintering auxiliary materials in the sintering material. If the ratio of the iron-containing raw materials is too high, the sintered ore may be insufficient in strength; if the fuel ratio is inappropriate, it may affect the control of the sintering temperature, thereby affecting the quality of the sintered ore.

[0040] Therefore, when solving the objective function, the slag basicity satisfies the first set condition and the ratio of each material satisfies the second set condition as the constraint condition, so as to limit the slag basicity and the ratio of each material to a reasonable range. Specifically, linear programming, nonlinear programming and other methods can be used to construct a mathematical model based on the objective function and constraint conditions, and then solve it through computer software to determine the optimal ratio of sintering auxiliary materials.

[0041] It can be concluded from the above that, by solving the objective function with constraints, the sintering auxiliary material ratio obtained in this embodiment can minimize the molten iron cost under the premise of meeting the requirements of slag basicity and material ratio.

[0042] In one embodiment of the present disclosure, the second setting condition includes that the ratio of the sintering auxiliary material is within the first setting range and the ratio of the material entering the furnace satisfies the second setting range. With the constraints that the slag basicity meets the first set condition and the ratio of each material meets the second set condition, the objective function is solved, including: Based on the penalty function method, the proportion of materials entering the furnace that meets the second set range is converted into a penalty term and added to the objective function. The proportion of sintering auxiliary materials that is within the first set range and the slag basicity that meets the first set condition are taken as hard constraints to solve the objective function.

[0043] In this embodiment, the penalty function method is first used to convert the ratio of materials entering the furnace to meet the second set range into a penalty term and add it to the objective function. When the ratio of materials entering the furnace exceeds the second set range, the penalty term will increase the value of the objective function, making the "attractiveness" of the scheme lower during the optimization process. For example, if the amount of iron ore used far exceeds the reasonable upper limit, resulting in poor air permeability in the furnace and increased energy consumption, the penalty term will reflect this negative effect, prompting the optimization algorithm to find a more reasonable material ratio combination to avoid high costs and low efficiency caused by material imbalance.

[0044] At the same time, considering that slag basicity is directly related to the fluidity, desulfurization capacity and protection of slag lining, if slag basicity is out of control, it will lead to serious problems such as slag viscosity being too high to discharge normally, erosion of lining and shortening of blast furnace life; at this time, considering that if the sintering auxiliary material ratio deviates from the set range, the quality of sintered ore will be greatly reduced, thus affecting the quality of molten iron. Therefore, the sintering auxiliary material ratio is in the first set range and the slag basicity meets the first set condition as a hard constraint. The hard constraint is a constraint condition that must be strictly met and cannot be compromised to ensure that the key indicators are stable in an acceptable range.

[0045] The ratio of sintering auxiliary materials needs to meet the following requirements: (1) The ratio of each material in sintering auxiliary materials must be within the upper and lower limits of the specified range, which can be expressed as follows: Represents the category set of sinter j.

[0046] (2) The sum of the proportions of each material in sintering auxiliary materials is less than or equal to 100, which can be expressed as: .

[0047] The comprehensive input materials meet the upper and lower limits, which can be expressed by the formula: .

[0048] The slag basicity must meet the upper and lower limit constraints. The upper and lower limits of the magnesium-aluminum ratio / binary basicity / ternary basicity / quaternary basicity are as follows: .

[0049] From the above, it can be concluded that this embodiment solves the objective function by setting the penalty term and hard constraint conditions of the objective function, and can find the raw material ratio scheme that minimizes the cost of molten iron. Whether it is sintering auxiliary materials or furnace materials, it can find the best balance between quality and cost.

[0050] In one embodiment of the present disclosure, determining the second molten iron cost based on the second mixing ratio and the ratio of sintering auxiliary materials includes: The second molten iron cost is calculated based on the second formula; the second formula is:

[0051]

[0052] in, represents the second hot metal cost, represents the cost of raw materials, represents the fuel cost, Indicates that load affects cost, It means that the grade affects the cost. represents the adjustment cost, It represents the process cost; Indicates the sintering cost, which is based on the ratio of sintering auxiliary materials. Indicates the unit consumption of molten iron, represents the unit consumption, which is obtained based on the second mixing ratio. Indicates the unit price of material k of ironmaking element i other than alkaline material, Indicates the unit price of returned powder for all raw mineral materials; Indicates the unit price of coke powder return. Indicates the coke powder return rate; represents the load cost of compound z, It indicates the comprehensive furnace grade, which is obtained based on the second mixing ratio and the ratio of sintering auxiliary materials. Indicates the benchmark grade value, It indicates the base grade base unit; Represents the category set of ironmaking raw materials, represents the set of loaded compounds z, and {alkaline material, acidic material, coke, coal injection} represents the set of ironmaking elements.

[0053] In this embodiment, the cost of molten iron = raw material cost + fuel cost + load impact cost + grade impact cost + adjustment cost + process cost. Among them, the raw material cost includes the cost of iron-containing raw materials, solvents and other auxiliary materials, and the fuel cost includes the coke cost and coal injection cost. The load impact cost refers to a series of additional costs caused by changes in the load (including input amount, reaction task amount, etc.) of various compounds (such as iron ore, coke, solvent, etc.) in the blast furnace. These costs are cost fluctuations caused by changes in compound loads on the basis of normal production process costs.

[0054] The following is an introduction to the calculation process of each cost: (1) Raw material cost = raw ore cost + return powder cost (1.1) Raw ore cost = unit price of all raw ore materials (including all materials under ironmaking_alkaline materials and ironmaking_acidic materials) × sum of unit consumption of molten iron.

[0055] Among them, the unit consumption of molten iron = unit consumption / (1-current material powder return rate / 100), which can be expressed as: ;in, Indicates the unit consumption of molten iron of material k of ironmaking element i (for acidic material, alkaline material, coke), represents the unit consumption of material k for ironmaking element i, It indicates the powder return rate of material k of iron-making element i (limited to alkaline and acidic materials).

[0056] The unit consumption of each material k of the ironmaking element i is obtained based on the material k ratio / dry ratio (that is, the second mixing ratio) of the ironmaking element i, and the calculation process is as follows: (1.1.1) Alkaline material / Unit consumption of each material under alkaline material = Proportion × Ore ratio / 100 Ore ratio = 100 × iron consumption / comprehensive furnace grade

[0057] (1.1.2) Unit consumption of each material under coke = dry mix ratio × coke ratio / 100

[0058] (1.1.3) Unit consumption of each material under coal injection = dry mix ratio × coal ratio / 100

[0059] in, Indicates the material k ratio / dry ratio of ironmaking element i, Indicates iron consumption, Indicates the sintering ore burnup, and These are preset constants.

[0060] Focal Ratio Compared with coal Based on the pre-built "fuel allocation" mapping table, the "fuel allocation" mapping table is used to characterize the comprehensive furnace grade B and coke ratio , coal ratio The mapping relationship between them.

[0061] (1.2) Powder return cost = the sum of the unit price of all raw materials × (- molten iron unit consumption × powder return rate / 100). The final calculation formula for the raw material cost is: .

[0062] in, It represents the unit price of material k of iron-making basic material, that is, the sintering cost.

[0063] (1.2.1) Sintering cost = raw material cost + adjusted fuel consumption + process cost. The specific calculation process is as follows:

[0064] Raw material cost = the sum of the unit price of all materials of all sintering elements × unit consumption. The specific calculation formula is as follows: ; in, Represents the sintering element set {target iron ore, fuel, auxiliary materials, mixed ore of benchmark ore}.

[0065] Adjusted fuel consumption cost = (sintering_fuel all materials unit price × unit consumption) × (sintering ore fuel consumption - sintering_fuel all materials unit consumption) / sintering_fuel all materials unit consumption, the specific calculation formula is:

[0066] in, Represents the unit consumption of material k for sintering element j.

[0067] The unit consumption of material k of sintering element j = dry basis / sintering storage of all materials under all sintering elements. The specific calculation formula is:

[0068] The dry basis calculation formula for each material of sintering auxiliary materials is: Dry basis = mix ratio × (1-H2O value / 100)

[0069] The calculation formula for the sintering storage of each material of sintering auxiliary materials is: Burnt amount = dry basis × (1-burnt loss / 100)

[0070] in, Represents the burnout of material k of sintering element j.

[0071] (2) Fuel cost = coke cost + coal cost Coke ratio cost = gross coke cost + coke powder cost Gross coke cost = unit price of all gross coke materials (including all materials under ironmaking_coke) × unit consumption of molten iron. Among them, unit consumption of molten iron = unit consumption / (1-coke powder return rate / 100), which can be expressed as: ;in, Indicates the coke powder return rate.

[0072] Coke powder cost = - coke powder unit price (parameter) × sum of molten iron consumption of all raw coke materials × coke powder return rate / 100, therefore, the calculation formula for coke ratio cost is: ;in, Indicates the coke ratio cost.

[0073] Coal specific cost = (the sum of all ironmaking_coal injection material unit consumption × unit price), expressed as: .

[0074] (3) Load impact cost = the sum of all load costs, expressed as: ;in, represents the set of loaded compounds z, It represents the load cost of compound z. Loaded compounds refer to compounds whose input amount, reaction degree or role in the system (these factors can be collectively understood as "load") have an impact on the cost, efficiency, quality and other aspects of the entire ironmaking process. Loaded compounds mainly include iron ore, coke, solvents (such as limestone, dolomite), etc.

[0075] Single compound load cost = (current compound load value - current compound load reference value (parameter)) × (coke ratio cost × current compound load reference unit (parameter) / 100), expressed as: ;in, Indicates the current compound loading value, represents the load reference value of compound z, Indicates the loading base unit of compound z.

[0076] Current compound loading value = Unit consumption of all materials under all ironmaking elements × content value of current compound, expressed by the formula: ; Indicates the content value of compound z of material k of ironmaking element i other than alkaline material, It represents the content value of compound z of material k which is alkaline material, and I represents the ironmaking element set {alkaline material, acidic material, coke, coal injection}.

[0077] Ironmaking_Alkaline material content of each compound = the compound content of all sintering elements × unit consumption, expressed as:

[0078] in, Indicates the content value of compound z of material k of sintered element j.

[0079] (4) Grade impact cost = - process cost × (comprehensive furnace grade - benchmark grade value) × (benchmark grade unit / 100), expressed as:

[0080] in, represents the process cost, Indicates the benchmark grade value, Indicates the base grade unit. , and All are preset constants; Indicates the comprehensive furnace grade.

[0081] Comprehensive furnace grade B = ratio of all materials under ironmaking_acidic material and ironmaking_alkaline material × TFe value / ratio of all materials under ironmaking_acidic material and ironmaking_alkaline material. The specific calculation formula is:

[0082] in, It indicates the iron content of material k under ironmaking_acidic material, that is, TFe value. Indicates the iron content of material k under ironmaking_alkaline material.

[0083] (5) Adjustment cost and process cost are both preset parameters. Adjustment cost can be obtained based on production experience, while process cost is the general term for energy and power costs, wages and salaries, manufacturing expenses and other costs incurred in the actual production process, and is also the cost value in actual production.

[0084] In one embodiment of the present disclosure, slag basicity includes slag ratio and slag amount of each compound in the ironmaking process, aluminum-magnesium ratio, binary basicity, ternary basicity and quaternary basicity.

[0085] In this embodiment, the slag ratio of compound z = 100 × slag amount / the sum of slag amounts of all compounds, which can be expressed as:

[0086] in, represents the slag amount of compound z, and Z represents the set of compound z.

[0087] Slag volume of compound z = slag distribution × (consumption of all materials under all ironmaking elements × content value of the compound) / 10000

[0088] in, It represents the unit consumption of all materials under basic ironmaking elements.

[0089] The formula for calculating the magnesium-aluminum ratio is:

[0090] The calculation formula of binary alkalinity is:

[0091] The calculation formula of ternary alkalinity is:

[0092] The calculation formula of quaternary alkalinity is: .

[0093] Corresponding to the iron ore cost performance evaluation method of the above embodiment, Figure 2 This is a structural block diagram of an iron ore cost performance evaluation device provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 2 The iron ore cost performance evaluation device 20 includes: a first calculation module 21, a second calculation module 22 and a third calculation module 23.

[0094] The first calculation module 21 is used to determine the first molten iron cost based on a first mixing ratio of multiple reference ores; A second calculation module 22 is used to mix the target iron ore and the mixed ore of the plurality of reference ores according to a second mixing ratio, and determine a second molten iron cost based on the second mixing ratio; The third calculation module 23 is used to determine the cost performance of the target iron ore based on the first molten iron cost, the second molten iron cost, and the second mixing ratio.

[0095] In one embodiment of the present disclosure, the third calculation module 23 is specifically used to: The cost performance ratio of the target iron ore is calculated based on the first formula; the first formula is:

[0096] in, represents the first molten iron cost, represents the second hot metal cost, Indicates the proportion of mixed ore of multiple base ores, Indicates the proportion of target iron ore, Indicates the cost performance of the target iron ore.

[0097] In one embodiment of the present disclosure, the second calculation module 22 is specifically used for: Determining a proportion of sintering auxiliary materials based on the second mixing ratio; The second molten iron cost is determined based on the second mixing ratio and the proportion of sintering auxiliary materials.

[0098] In one embodiment of the present disclosure, the second calculation module 22 is further configured to: The objective function is constructed with the goal of minimizing the cost of molten iron. The slag basicity meets the first set condition and the ratio of each material meets the second set condition as constraints. The objective function is solved to obtain the ratio of sintering auxiliary materials.

[0099] In one embodiment of the present disclosure, the second setting condition includes that the ratio of the sintering auxiliary material is within the first setting range and the ratio of the material entering the furnace satisfies the second setting range, and the second calculation module 22 is specifically used to: Based on the penalty function method, the proportion of materials entering the furnace that meets the second set range is converted into a penalty term and added to the objective function. The proportion of sintering auxiliary materials that is within the first set range and the slag basicity that meets the first set condition are taken as hard constraints to solve the objective function.

[0100] In one embodiment of the present disclosure, the second calculation module 22 is further configured to: The second molten iron cost is calculated based on the second formula; the second formula is:

[0101] in, represents the second hot metal cost, represents the cost of raw materials, represents the fuel cost, Indicates that load affects cost, It means that the grade affects the cost. represents the adjustment cost, It represents the process cost; Indicates the sintering cost, which is based on the ratio of sintering auxiliary materials. represents the unit consumption of molten iron, which is obtained based on the second mixing ratio. Indicates unit consumption, Indicates the unit price of material k of ironmaking element i other than alkaline material, Indicates the unit price of returned powder for all raw mineral materials; represents the coke ratio cost, represents the coal specific cost, Indicates the unit price of coke powder return. Indicates the coke powder return rate; represents the load cost of compound z, It represents the comprehensive furnace grade, which is obtained based on the second mixing ratio. Indicates the benchmark grade value, It indicates the base grade base unit; Represents the category set of ironmaking raw materials, represents the set of loaded compounds z, and {alkaline material, acidic material, coke, coal injection} represents the set of ironmaking elements.

[0102] In one embodiment of the present disclosure, slag basicity includes slag ratio and slag amount of each compound in the ironmaking process, aluminum-magnesium ratio, binary basicity, ternary basicity and quaternary basicity.

[0103] See also Figure 3 , Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 3The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of each module / unit in the above-mentioned device embodiments, such as Figure 2 The functions of modules 21 to 23 are shown.

[0104] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0105] The input device 302 may include a touch panel, a fingerprint collection sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.

[0106] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0107] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of the iron ore cost-effectiveness evaluation method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0108] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0109] The computer-readable storage medium may be an internal storage unit of the electronic device of any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0110] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0111] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0112] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

[0113] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.

[0114] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0115] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A method for evaluating the cost performance of iron ore, characterized in that: include: determining a first molten iron cost based on a first mixing ratio of the plurality of benchmark ores; Mixing the target iron ore and a mixed ore of a plurality of reference ores according to a second mixing ratio, and determining a second molten iron cost based on the second mixing ratio; The cost performance of the target iron ore is determined based on the first molten iron cost, the second molten iron cost, and the second mixing ratio.

2. The iron ore cost performance evaluation method according to claim 1, characterized in that: The determining the cost performance of the target iron ore based on the first molten iron cost, the second molten iron cost, and the second mixing ratio includes: The cost performance of the target iron ore is calculated based on the first formula; the first formula is: in, represents the first molten iron cost, represents the second hot metal cost, Indicates the proportion of mixed ore of multiple base ores, Indicates the proportion of target iron ore, Indicates the cost performance of the target iron ore.

3. The method for evaluating the cost performance of iron ore according to claim 1, characterized in that: The determining the second molten iron cost based on the second mixing ratio includes: determining a proportion of sintering auxiliary materials based on the second mixing ratio; The second molten iron cost is determined based on the second mixing ratio and the proportion of sintering auxiliary materials.

4. The method for evaluating the cost performance of iron ore according to claim 3, characterized in that: The step of determining the proportion of sintering auxiliary materials based on the second mixing ratio includes: An objective function is constructed with the goal of minimizing the cost of molten iron, and the ratio of sintering auxiliary materials is obtained by solving the objective function with the constraints that the slag basicity meets the first set condition and the ratio of each material meets the second set condition.

5. The method for evaluating the cost performance of iron ore according to claim 4, characterized in that: The second setting condition includes that the ratio of the sintering auxiliary materials is within the first setting range and the ratio of the materials entering the furnace meets the second setting range. The objective function is solved with the constraint that the slag basicity satisfies the first set condition and the ratio of each material satisfies the second set condition, including: Based on the penalty function method, the proportion of the materials entering the furnace that meets the second set range is converted into a penalty term and added to the objective function. The proportion of the sintering auxiliary materials that is within the first set range and the slag basicity that meets the first set condition are taken as hard constraints to solve the objective function.

6. The method for evaluating the cost performance of iron ore according to claim 3, characterized in that: The determining the second molten iron cost based on the second mixing ratio and the ratio of sintering auxiliary materials includes: The second molten iron cost is calculated based on a second formula; the second formula is: in, represents the second hot metal cost, represents the cost of raw materials, represents the fuel cost, Indicates that load affects cost, It means that the grade affects the cost. represents the adjustment cost, It represents the process cost; represents the sintering cost, which is obtained based on the ratio of sintering auxiliary materials. Indicates the unit consumption of molten iron, represents a unit consumption, the unit consumption is obtained based on the second mixing ratio, Indicates the unit price of material k of ironmaking element i other than alkaline material, Indicates the unit price of returned powder for all raw mineral materials; represents the coke ratio cost, represents the coal specific cost, Indicates the unit price of coke powder return. Indicates the coke powder return rate; represents the load cost of compound z, represents the comprehensive furnace grade, which is obtained based on the second mixing ratio, Indicates the benchmark grade value, It indicates the base grade base unit; Represents the category set of ironmaking raw materials, represents the set of loaded compounds z, and {alkaline material, acidic material, coke, coal injection} represents the set of ironmaking elements.

7. The method for evaluating the cost performance of iron ore according to claim 4, characterized in that: The slag basicity includes the slag ratio and slag amount of each compound in the ironmaking process, the aluminum-magnesium ratio, the binary basicity, the ternary basicity and the quaternary basicity.

8. An iron ore cost performance evaluation device, characterized in that: include: A first calculation module, configured to determine a first molten iron cost based on a first mixing ratio of a plurality of reference ores; A second calculation module, configured to mix the target iron ore and a mixed ore of a plurality of reference ores according to a second mixing ratio, and determine a second molten iron cost based on the second mixing ratio; The third calculation module is used to determine the cost performance of the target iron ore based on the first molten iron cost, the second molten iron cost, and the second mixing ratio.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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