A method for evaluating the economic performance of iron ore fines based on blast furnace raw material structure

Abstract

The present invention provides an iron ore powder economic evaluation method based on the blast furnace raw material structure. First, an actual sintering batching calculation table is established through actual production, and a known pre-sintered ore is batched in a fixed ratio, and a blast furnace process is performed to establish an actual blast furnace batching calculation table, and the chemical composition of other ores is reversely calculated; the actual blast furnace process smelting cost calculation data is obtained; then new iron ore powder is introduced, and the addition amount of the flux and fuel is adjusted by simulation, so that the binary basicity and magnesium-aluminum ratio of the blast furnace slag reach the preset value, and the anthracite ratio reaches the standard value, so as to simulate and obtain the required flux and fuel addition amount; finally, the blast furnace molten iron cost is simulated and calculated. The method of the present invention uses the sintering process and blast furnace process to evaluate the economic performance of iron ore powder, matches the blast furnace slag basicity and magnesium-aluminum ratio, and reversely infers the flux and fuel required for a single variety of iron ore powder, so as to accurately estimate the addition amount of flux and fuel.

Description

Technical Field

[0001] The invention relates to the technical field of ironmaking, and in particular to an economic evaluation method for iron ore powder based on blast furnace raw material structure. Background Art

[0002] Iron ore powder is the main raw material for blast furnace smelting. Its quality is closely related to the smelting process and technical and economic indicators. The purpose of iron ore powder quality evaluation is to understand the relative advantages of using different iron ore powders in blast furnaces, so as to make the most favorable choice not only technically but also economically, effectively organize production and obtain the best economic benefits.

[0003] Among them, the grade of iron ore powder, that is, the iron content of iron ore powder, is the main indicator for evaluating the quality of iron ore powder. Iron ore powder is made into iron ore powder and mixed with flux and fuel, and sintered in a sintering furnace to obtain sintered ore. The flux is used to separate the reduced iron from gangue and ash, and remove harmful impurities such as sulfur to ensure the quality of pig iron. The sintered ore obtained by sintering is mixed with other ores and smelted in a blast furnace to finally obtain blast furnace slag and molten iron. Most of the iron ore powder is ore powder with known ingredients purchased from the market, such as Brazilca powder, BRBF powder, PB powder, Minas fine powder, Yangdi powder, King powder, Xipi powder, Canada fine powder, etc.

[0004] In the prior art, the commonly used iron ore fines evaluation methods mainly include:

[0005] a. Cost-effectiveness method for comprehensive grade of iron ore powder: directly use the ex-factory price plus the apparent grade. For example, the price of purchased iron ore powder is 480 yuan per dry ton, and the apparent grade is 62%. The cost-effectiveness per unit grade is 480 / 62 = 7.74 yuan, and the proportion of transportation cost to the ore price is considered.

[0006] b. Evaluation of comprehensive grade of iron ore powder and cost-effectiveness method: As we all know, different gangue contents and harmful elements such as S, P, K2O, Zn in iron ore powder have different degrees of consumption and influence on its agglomeration and blast furnace smelting. The so-called "comprehensive grade" evaluation of iron ore powder is the calculation method for powder ore, which is the actual grade after deducting different gangue contents, burn loss and harmful elements.

[0007] c. The method of calculating the cost-effectiveness of the metallurgical value of iron ore powder: The calculation method of the metallurgical value of iron ore powder was proposed by Academician MA Pavlov of the Soviet Union.

[0008] These three methods have the same defects, namely, the inaccurate estimation of flux and fuel consumption, the lack of reflection of the burnout of iron ore powder and the coke ratio and actual slag amount of blast furnace smelting, etc., which cause large deviation factors. If used to guide production, their practicality is not strong. Summary of the invention

[0009] 1. Technical Problems Solved

[0010] In view of the shortcomings of the prior art, the present invention provides an economic evaluation method for iron ore powder based on blast furnace raw material structure, which solves the problem of inaccurate estimation of flux and fuel usage in the prior evaluation method.

[0011] 2. Technical Solution

[0012] To achieve the above object, the present invention provides the following technical solutions:

[0013] A method for evaluating the economic efficiency of iron ore fines based on the raw material structure of a blast furnace, the key of which is to follow the following steps:

[0014] Step S1: Building the model

[0015] S101, the pre-iron ore powder, flux and fuel with known chemical composition are sintered through a sintering process, the chemical composition of the pre-sintered ore is calculated based on the sintering production parameters, and a sintering batching calculation table is established;

[0016] S102, adding other ores with unknown chemical composition to the pre-sintered ore with known chemical composition in a fixed ratio, and performing blast furnace smelting to obtain blast furnace production parameters, blast furnace slag parameters and molten iron parameters for establishing a blast furnace batching calculation table; and also for reverse calculation to determine the chemical composition of the other ores;

[0017] S103, carry out production for at least one month to obtain actual blast furnace process smelting cost calculation data; data used to calculate the actual total cost of molten iron and deduct the cost of sintering minerals;

[0018] Step S2: Model simulation calculation

[0019] S201, introducing new iron ore powder with known chemical composition into the sintering process, bringing the addition amount of flux and fuel into the sintering ingredient calculation table, and simulating and calculating the chemical composition of the new sintered ore;

[0020] S202, bringing the chemical composition of the newly sintered ore into the blast furnace batching calculation table, and simulating and calculating the binary basicity, magnesium-aluminum ratio and fuel ratio of blast furnace slag with other ores of known chemical composition;

[0021] S203, taking the addition amount of flux and fuel as variables, adjusting the addition amount of flux and fuel by simulation, so that the binary basicity and magnesium-aluminum ratio of blast furnace slag reach preset values, and the anthracite ratio reaches the standard value, so as to simulate and obtain the flux and fuel addition amount that meets the requirements;

[0022] S204. Based on the chemical composition of the new sintered ore and the chemical composition of other ores, simulate and calculate the comprehensive grade of the sintered ore entering the furnace; based on the addition amount of new iron ore powder and the simulated addition amount of flux and fuel, simulate and calculate the cost of the sintered ore; and then simulate and calculate the cost of molten iron in the blast furnace.

[0023] Optionally, the chemical composition of the other ores includes the grade of the other ores and the contents and loss on ignition of SiO2, CaO, MgO, and Al2O3;

[0024] The chemical composition of the pre-sintered ore and the new sintered ore includes the grade of the corresponding sintered ore and the content of SiO2, CaO, MgO and Al2O3.

[0025] Optionally, the sintering production parameters include the weight, grade, SiO2, CaO, MgO, Al2O3 content and burn-off value of iron ore powder, flux and fuel;

[0026] Optionally, the blast furnace production parameters include chemical compositions of ore batch, coke batch, ash content, sintered ore and other ores.

[0027] Optionally, the blast furnace slag parameters include binary basicity and magnesium-aluminum ratio; the binary basicity multiple of the blast furnace slag is 1.1-1.3 times and the magnesium-aluminum ratio multiple is 0.4-0.7 times.

[0028] Optionally, the molten iron parameters include molten iron yield and molten iron content.

[0029] Optionally, the flux is dolomite and limestone; and the fuel is anthracite.

[0030] Optionally, the comprehensive grade of the sintered ore entering the furnace = the grade of the sintered ore × the proportion of the sintered ore + the grade of other ores × the proportion of other ores.

[0031] Optionally, the actual blast furnace process smelting cost calculation data includes actual sintered ore feeding grade, actual molten iron output, blast furnace ore consumption, sintering ore consumption, sintered ore feeding ratio, actual molten iron cost, total molten iron cost, sintered ore feeding output, molten iron iron content, grade output coefficient, blast furnace recovery rate, and total output coefficient.

[0032] Optionally, the simulation calculation method of the blast furnace molten iron cost is as follows:

[0033] The simulated blast furnace molten iron cost = simulated total cost ÷ simulated molten iron output

[0034] The simulated molten iron output = actual molten iron output × [1 + total output coefficient × blast furnace recovery rate]

[0035] The blast furnace recovery rate = molten iron content / actual furnace grade / blast furnace ore consumption

[0036] The total production coefficient = grade difference × 1 grade production coefficient

[0037] The grade difference = simulated comprehensive sintering ore grade - actual sintering ore grade

[0038] The total simulation cost = deducting the sintered mineral cost data + sintered ore simulation cost

[0039] The sintering ore simulation cost = sintering ore blending cost × sintering ore output sintering ore blending cost = sintering blending ratio × unit price ÷ burnt residue excess coefficient ÷ 100

[0040] The data for deducting the sintering mineral cost = the total molten iron cost - the sintering ore output × the sintering mineral cost, and the sintering mineral cost is equal to the sum of the costs of iron ore powder, flux and fuel.

[0041] 3. Beneficial Effects

[0042] The present invention provides a method for evaluating the economic efficiency of iron ore powder based on the raw material structure of blast furnace. The present invention adopts sintering process and blast furnace process to evaluate the economic efficiency of iron ore powder, matches the basicity and magnesium-aluminum ratio of blast furnace slag, reversely infers the flux and fuel required for single-variety iron ore powder, thereby accurately estimating the addition amount of flux and fuel. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] It should be noted that the premise of the present invention is that the blast furnace charge structure and proportion, fuel load, total amount of iron ore powder fed into the furnace, and slag system remain unchanged; only the influence of CaO, SiO2, MgO, and Al2O3 on blast furnace production is considered, and the influence of harmful impurities such as S, P, TiO2, K2O, Na2O, Pb, Zn, Cu, and As on blast furnace production is not considered. For this reason, firstly, the chemical composition of the new iron ore powder is changed and then fed into the furnace to keep the sintered ore proportion in the blast furnace charge structure unchanged, that is, to keep the binary basicity CaO / SiO2 and the magnesium-aluminum ratio MgO / Al2O3 of the current blast furnace normal production slag unchanged.

[0045] The sintering raw materials mainly include iron ore powder, flux and fuel. The flux is dolomite and limestone, and the fuel is anthracite.

[0046] Blast furnace raw materials include other ores and sintered ore obtained from the sintering process. The other ores here are a general term for all other raw materials in the blast furnace except sintered ore. The composition of other ores is very complex, so it is necessary to first determine the chemical composition of other ores and eliminate uncertain factors to ensure the subsequent blast furnace raw material composition structure, and then reversely estimate the amount of flux and fuel used to be more accurate.

[0047] In the calculation of the total cost of blast furnace molten iron, the material costs such as iron ore powder cost, flux cost, and fuel cost are separated out from the cost of sintered ore entering the furnace. According to the control requirements of the blast furnace's process slag basicity and magnesium-aluminum ratio, the single-variety iron ore powder is proportioned while the amount of sintered ore entering the furnace remains unchanged, and the amount of flux and fuel added is estimated. Based on this, the cost of blast furnace molten iron after the increase or decrease in molten iron output caused by changes in the grade of sintered ore entering the furnace can be further calculated and evaluated, thereby guiding the economical production of blast furnaces.

[0048] Example 1

[0049] An economic evaluation method for iron ore fines based on blast furnace raw material structure is carried out in the following steps:

[0050] Step S1: Building the model

[0051] S101. Pre-iron ore powder, dolomite, limestone and anthracite with known chemical composition are sintered through a sintering process. Based on the weight, grade and SiO2, CaO, MgO and Al2O3 contents and loss on burn of the iron ore powder, dolomite, limestone and fuel, the grade of the pre-sintered ore and the contents of SiO2, CaO, MgO and Al2O3 and the loss on burn value are calculated, and a sintering batching calculation table is established, as shown in Table 1.

[0052] Table 1 is the calculation table of sintering ingredients for sintering process

[0053]

[0054] Burnt residue calculation = weight (iron ore powder or dolomite or limestone) × [1-burnt residue (iron ore powder or dolomite or limestone)]

[0055] Calculation of SiO2 = SiO2 (iron ore powder or dolomite or limestone) × weight (iron ore powder or dolomite or limestone) + anthracite weight × ash content × ash content SiO2 content

[0056] Calculation of CaO = CaO (iron ore powder or dolomite or limestone) × weight (iron ore powder or dolomite or limestone) + anthracite weight × ash content × ash content CaO content

[0057] Calculation of TFe = iron ore powder TFe × weight of iron ore powder

[0058] Calculation of MgO = MgO (iron ore powder or dolomite or limestone) × weight (iron ore powder or dolomite or limestone) + anthracite weight × ash × ash MgO content

[0059] Calculation of Al2O3 = iron ore powder Al2O3 × iron ore powder weight + anthracite weight × ash content × ash content MgO content

[0060] Sintering ratio = weight (iron ore powder or dolomite or limestone or fuel) ÷ (iron ore powder weight + dolomite weight + limestone weight + fuel weight)

[0061] The sinter surplus coefficient is the sum of burnt residues calculated based on the unit consumption in the sinter cost report.

[0062] Burnt residue excess coefficient = sintering calculation total ÷ sintered ore excess coefficient

[0063] S102, adding other ores with unknown chemical composition to the pre-sintered ore with known chemical composition in a fixed proportion, and performing blast furnace smelting, obtaining blast furnace production parameters, blast furnace slag binary basicity and magnesium-aluminum ratio, and molten iron iron content and molten iron recovery rate, which are used to establish a blast furnace batching calculation table, as shown in Table 2; and are also used for reverse calculation to determine the chemical composition of the other ores;

[0064] Table 2 is the blast furnace batching calculation table for the blast furnace process

[0065]

[0066]

[0067] S103, using this method to produce, obtain actual blast furnace process smelting cost calculation data; data used to calculate the actual total cost of molten iron and deduct the cost of sintering minerals, as shown in Table 3;

[0068] Table 3 is the calculation data of smelting cost of blast furnace process for at least one month

[0069]

[0070] Step S2: Model simulation calculation

[0071] S201, introducing new iron ore powder with known chemical composition into the sintering process, bringing the addition amount of flux and fuel into the sintering ingredient calculation table, and simulating and calculating the chemical composition of the new sintered ore;

[0072] S202, bringing the chemical composition of the newly sintered ore into the blast furnace batching calculation table, and simulating and calculating the binary basicity, magnesium-aluminum ratio and fuel ratio of blast furnace slag with other ores of known chemical composition;

[0073] S203, taking the addition amount of flux and fuel as variables, adjusting the addition amount of flux and fuel by simulation, so that the binary basicity and magnesium-aluminum ratio of blast furnace slag reach preset values, and the anthracite ratio reaches the standard value, so as to simulate and obtain the flux and fuel addition amount that meets the requirements;

[0074] S204. Based on the chemical composition of the new sintered ore and the chemical composition of other ores, simulate and calculate the comprehensive grade of the sintered ore into the furnace = the grade of the new sintered ore × the proportion of the new sintered ore + the grade of other ores × the proportion of other ores; based on the amount of new iron ore powder added, the simulated amount of flux and fuel added, combined with the excess burnout coefficient and the unit price of iron ore powder, dolomite, limestone and anthracite, simulate and calculate the cost of the sintered ore;

[0075] The simulated sintered ore comprehensive furnace grade and simulated sintered ore cost are brought into Table 3, combined with the actual blast furnace process smelting cost calculation data, and then the blast furnace molten iron cost is simulated and calculated. The details are as follows:

[0076] The simulated blast furnace molten iron cost = simulated total cost ÷ simulated molten iron output

[0077] The simulated molten iron output = actual molten iron output × [1 + total output coefficient × blast furnace recovery rate]

[0078] The blast furnace recovery rate = molten iron content / actual furnace grade / blast furnace ore consumption

[0079] The total production coefficient = grade difference × 1 grade production coefficient

[0080] The grade difference = simulated comprehensive sintering ore grade - actual sintering ore grade

[0081] The total simulation cost = deducting the sintered mineral cost data + sintered ore simulation cost

[0082] The sintering ore simulation cost = sintering ore blending cost × sintering ore output sintering ore blending cost = sintering blending ratio × unit price ÷ burnt residue excess coefficient ÷ 100

[0083] The data for deducting the sintering mineral cost = the total molten iron cost - the sintering ore output × the sintering mineral cost, and the sintering mineral cost is equal to the sum of the costs of iron ore powder, flux and fuel.

[0084] Example 2 is specifically described using the company's basic production data in January 2022:

[0085] 1. Establish a sintering batching calculation table for the iron ore powder sintering process in actual production to calculate the grade of the actual sintered ore and the contents of SiO2, CaO, MgO, and Al2O3.

[0086]

[0087] 2. Establish a blast furnace burden calculation table for actual sintered ore, substitute the calculated grade of actual sintered ore and SiO2, CaO, MgO, and Al2O3 contents into the blast furnace burden calculation table, and calculate the grade and SiO2, CaO, MgO, and Al2O3 contents of other ores.

[0088]

[0089] 3. Carry out production for at least one month to obtain actual blast furnace process smelting cost calculation data; data used to calculate the actual total cost of molten iron and deduct the cost of sintering minerals;

[0090]

[0091] 4. New iron ore powder is introduced, the grade of the new iron ore powder is 58.136%, SiO2 is 4.589%, CaO is 0%, MgO is 0.033%, Al2O3 is 1.892%, and the loss on burn is 10.00%, and a simulation calculation is performed in combination with step S2 described in Example 1: the ratio of sintered ore to other ores in the blast furnace batching is 83.02% sintered ore and 16.98% other ores, and the chemical composition of other ores remains unchanged; the preset value of binary basicity is 1.24, the preset value of magnesium-aluminum ratio is 0.59, and the standard value of anthracite ratio is 4.31%.

[0092] 5. After the introduction of new iron ore powder, the sintering batch calculation table is as follows:

[0093]

[0094] 6. After the introduction of new iron ore powder, the blast furnace batching calculation table is as follows:

[0095]

[0096] 7. According to the sintering batch calculation table and the blast furnace batch calculation table, the required flux and fuel addition amount, i.e. the addition amount of limestone, dolomite and anthracite, is comprehensively simulated and calculated, and the comprehensive furnace grade and sintering cost of sintering ore are simulated and calculated. The simulated cost of sintering ore is shown in the following table:

[0097]

[0098] 8. Finally, the blast furnace iron cost is simulated and calculated based on the actual production data in January 2022.

[0099]

[0100] Example 3

[0101] 1. Replace the new iron ore powder in Example 2 with Brazilian powder, BRBF powder, PB powder, Minas powder, Yangdi powder, King powder, Xipi powder, and Canada powder respectively, and perform simulation calculation: the ratio of sintered ore to other ores in blast furnace batching is 83.02% sintered ore and 16.98% other ores; the binary basicity preset value is 1.24, the magnesium-aluminum ratio preset value is 0.59, and the anthracite ratio standard value is 4.31%. Simulate to obtain the required flux and fuel addition amount, sintered ore comprehensive furnace grade, sintered ore cost, and finally simulate and calculate the blast furnace molten iron cost.

[0102] The composition and unit price of each iron ore powder are shown in the following table:

[0103] project Burning SiO2 CaO TFe P S MgO Al2O3 price Brazilian powder 3.403 1.785 0.059 64.515 0.087 0.017 0.019 1.537 1141.709 BRBF powder 3.533 4.797 0.04 62.614 0.083 0.014 0.021 1.457 1115.336 PB powder 5.417 3.72 0.055 61.362 0.099 0.02 0.042 2.253 1049.058 Minas Essence 0.53 2.628 0 66.955 0.02 0.005 0 0.557 1244.457 Yang Di Fan 10.88 6.568 0.07 56.21 0.049 0.012 0.035 1.632 919.894 King Powder 10.201 5.08 0.045 57.7 0.075 0.017 0.01 1.93 938.402 Xipi powder 6.581 3.984 0.061 60.253 0.069 0.03 0.015 2.248 982.263 Canadian Essence 0.35 4.234 0.121 66.331 0.011 0.013 0.103 0.248 1052.388

[0104] 2. The simulation results are shown in the following table:

[0105]

[0106] The simulation results show that the higher-priced Canadian refined products have the best iron ore price.

[0107] The ore grade difference between King Powder and Yangdi Powder is 1.49%, and the price difference is 18.50 yuan / ton. However, the calculated furnace grade difference is 1.97%, and the molten iron cost difference is 63.31 yuan / ton. The economy of King Powder is obviously better than that of Yangdi Powder, mainly because the high SiO2 needs to be added with more CaO to meet the blast furnace slag basicity process requirements.

[0108] The ore grade difference between Brazilca powder and Xipi powder is 8.31%, the price difference is 159.45 yuan / ton, and the calculated furnace grade difference is 3.66%. However, the molten iron cost difference is 2.51 yuan / ton. The two have almost the same economic efficiency.

[0109] The ore grade difference between Minas concentrate and Yangdi powder is 10.75%, the price difference is 324.56 yuan / ton, the calculated furnace grade difference is 6.54%, and the molten iron cost difference is 27.75 yuan / ton. The economy of Minas concentrate is obviously better than that of Yangdi powder.

[0110] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0111] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for evaluating the economic performance of iron ore fines based on the raw material structure of a blast furnace, characterized in that Follow these steps: Step S1: Building the model S101, the pre-iron ore powder, flux and fuel with known chemical composition are sintered through a sintering process, the chemical composition of the pre-sintered ore is calculated based on the sintering production parameters, and a sintering batching calculation table is established; S102, adding other ores with unknown chemical composition to the pre-sintered ore with known chemical composition in a fixed ratio, and performing blast furnace smelting to obtain blast furnace production parameters, blast furnace slag parameters and molten iron parameters for establishing a blast furnace batching calculation table; and also for reverse calculation to determine the chemical composition of the other ores; S103, carry out production for at least one month to obtain actual blast furnace process smelting cost calculation data; data used to calculate the actual total cost of molten iron and deduct the cost of sintering minerals; Step S2: Model simulation calculation S201, introducing new iron ore powder with known chemical composition into the sintering process, bringing the addition amount of flux and fuel into the sintering ingredient calculation table, and simulating and calculating the chemical composition of the new sintered ore; S202, bringing the chemical composition of the newly sintered ore into the blast furnace batching calculation table, and simulating and calculating the binary basicity, magnesium-aluminum ratio and fuel ratio of blast furnace slag with other ores of known chemical composition; S203, taking the addition amount of flux and fuel as variables, adjusting the addition amount of flux and fuel by simulation, so that the binary basicity and magnesium-aluminum ratio of blast furnace slag reach preset values, and the anthracite ratio reaches the standard value, so as to simulate and obtain the flux and fuel addition amount that meets the requirements; S204. Based on the chemical composition of the new sintered ore and the chemical composition of other ores, simulate and calculate the comprehensive grade of the sintered ore entering the furnace; based on the addition amount of new iron ore powder and the simulated addition amount of flux and fuel, simulate and calculate the cost of the sintered ore; and then simulate and calculate the cost of molten iron in the blast furnace.

2. The method for evaluating the economic efficiency of iron ore fines based on the blast furnace raw material structure according to claim 1, characterized in that: The chemical composition of the other ores includes the grade of the other ores and the contents of SiO2, CaO, MgO, Al2O3 and the loss on ignition value; The chemical composition of the pre-sintered ore and the new sintered ore includes the grade of the corresponding sintered ore and the content of SiO2, CaO, MgO and Al2O3.

3. The method for evaluating the economic efficiency of iron ore fines based on blast furnace raw material structure according to claim 1 or 2, characterized in that: The sintering production parameters include the weight and grade of iron ore powder, flux, fuel, and the contents of SiO2, CaO, MgO, Al2O3 and the burning loss value.

4. The method for evaluating the economic efficiency of iron ore fines based on blast furnace raw material structure according to claim 3, characterized in that: The blast furnace production parameters include the chemical composition of ore batch, coke batch, ash content, sintered ore and other ores.

5. The method for evaluating the economic efficiency of iron ore fines based on blast furnace raw material structure according to claim 4, characterized in that: The blast furnace slag parameters include binary basicity and magnesium-aluminum ratio; the binary basicity multiple of the blast furnace slag is 1.1-1.3 times and the magnesium-aluminum ratio multiple is 0.4-0.7 times.

6. The method for evaluating the economic efficiency of iron ore fines based on blast furnace raw material structure according to claim 5, characterized in that: The molten iron parameters include molten iron yield and molten iron content.

7. The method for evaluating the economic efficiency of iron ore fines based on the blast furnace raw material structure according to claim 6, characterized in that: The flux is dolomite and limestone; the fuel is anthracite.

8. The method for evaluating the economic efficiency of iron ore fines based on blast furnace raw material structure according to claim 7, characterized in that: The comprehensive grade of the sintered ore entering the furnace = the grade of the sintered ore × the proportion of the sintered ore + the grade of other ores × the proportion of other ores.

9. The method for evaluating the economic efficiency of iron ore fines based on blast furnace raw material structure according to claim 8, characterized in that: The actual blast furnace process smelting cost calculation data includes the actual grade of sintered ore entering the furnace, actual molten iron output, blast furnace ore consumption, sintering ore consumption, sintered ore ratio entering the furnace, actual molten iron cost, total molten iron cost, sintered ore entering the furnace output, molten iron iron content, grade output coefficient, blast furnace recovery rate, and total output coefficient.

10. The method for evaluating the economic efficiency of iron ore fines based on blast furnace raw material structure according to claim 9, characterized in that: The simulation calculation method of the blast furnace molten iron cost is as follows: Simulated calculation of blast furnace hot metal cost = simulated total cost ÷ simulated hot metal output Simulated hot metal production = actual hot metal production × (1 + total production coefficient × blast furnace recovery rate) Blast furnace recovery rate = molten iron content ÷ actual furnace grade ÷ blast furnace ore consumption Total production coefficient = grade difference × 1 grade production coefficient Grade difference = simulated sintered ore comprehensive furnace grade - actual sintered ore furnace grade Simulated total cost = deducted sintered mineral cost data + sintered ore simulated cost Sintering ore simulation cost = sintering ore blending cost × sintering ore output Sintering simulation ore blending cost = sintering blending ratio × unit price ÷ burnt residue excess coefficient ÷ 100 Deduct the cost of sintered minerals = total molten iron cost - sintered ore output × sintered minerals cost The sintering mineral cost is equal to the sum of the costs of iron ore powder, flux and fuel.

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