Method for reducing iron loss in high titanium slag during blast furnace smelting

Abstract

The invention provides a method for reducing iron loss in high titanium slag during blast furnace smelting, which relates to the technical field of blast furnace smelting, and comprises the following steps: burdening furnace charge according to the weight ratio of raw material to clinker of 3: 97, controlling the silicon-titanium mass ratio of the burdening furnace charge in a preset range, and controlling the furnace air volume, the furnace air temperature and the furnace oxygen enrichment rate in the preset range during smelting, and the slag alkalinity, the magnesium-aluminum ratio and the molten iron temperature are controlled within preset ranges. According to the method, the clinker in the furnace burden is kept at 97%, the blast furnace slag has the desulfurization capacity under the silicon-titanium smelting condition by controlling the furnace inlet air volume, the air temperature and the high oxygen enrichment rate, reducing generation of metal [Ti] and controlling the mass ratio of silicon to titanium in the furnace burden to be 0.18-0.28, the silicon-titanium level is controlled to be within the range of 0.18-0.28, [Ti] reduction is inhibited, then TiNC and TiN are reduced, the slag fluidity is improved, the slag-iron separation difficulty is reduced, and the slag-iron separation efficiency is improved. Therefore, the iron loss is reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of blast furnace smelting, and particularly relates to a method for reducing iron loss in high-titanium slag during blast furnace smelting. Background Art

[0002] Blast furnace smelting of high titanium slag is one of the important processes for the extraction of titanium resources. However, in the process of smelting high titanium slag, due to the high The special properties of high-titanium content and high-titanium ore often lead to a significant increase in iron loss in the blast furnace, seriously affecting smelting efficiency and economic benefits; The main reason for high iron loss is that the slag takes away iron during slag discharge. In the smelting of high vanadium-titanium ratio blast furnace, as the vanadium-titanium ratio increases, the concentration of titanium dioxide in the slag also increases. Under the high temperature and high reducing atmosphere of the blast furnace, titanium dioxide will be reduced to [Ti] and will be brought in by the blast. It reacts with the carbon in the coke / coal powder to generate high melting point TiNC. TiN enters the slag, which greatly increases the viscosity of the slag, making it more difficult to separate the slag from the iron, thereby increasing the iron loss. The conventional method to reduce the titanium dioxide content in the slag is to reduce the ratio of vanadium to titanium in the furnace. However, reducing the ratio of vanadium to titanium in the furnace will inevitably lead to an increase in the cost per ton of iron and the yield of vanadium. Therefore, it is necessary to reduce iron loss without reducing the ratio of vanadium to titanium in the furnace. In addition, since the titanium dioxide in the slag is weakly acidic and the molten iron temperature is relatively low, between 1420-1460°C, the desulfurization capacity of the slag is relatively weak. Therefore, the present invention proposes a method that can effectively reduce the iron loss during the smelting process of high-titanium slag in the blast furnace without affecting the desulfurization capacity of the blast furnace. Summary of the invention

[0003] The present invention provides a method for reducing iron loss in high-titanium slag during blast furnace smelting, so as to solve at least one of the technical problems mentioned above.

[0004] In order to solve the above technical problems, the present invention discloses a method for reducing iron loss in high-titanium slag during blast furnace smelting, comprising: The charge is mixed in a weight ratio of 3:97 between raw and clinker, and the silicon-titanium mass ratio of the charge is controlled within a preset range. During smelting, the air volume, air temperature and oxygen enrichment rate entering the furnace are controlled within a preset range, and the slag basicity, magnesium-aluminum ratio and molten iron temperature are controlled within a preset range.

[0005] Preferably, the weight ratio of the charge is 52-55% pellets, 42-45% sintered ore and 3% green ore.

[0006] Preferably, the mass ratio of silicon to titanium in the charge is 0.18-0.28.

[0007] Preferably, the preset range of the air volume entering the furnace during smelting is 3350-3400 / min; The preset range of the furnace air temperature is 1215-1230℃; The preset range of oxygen enrichment rate entering the furnace is 4.5-6%.

[0008] Preferably, the preset range of slag basicity is 1.10±0.05; The preset range of magnesium to aluminum ratio is 0.62-0.65; The preset range of molten iron temperature is 1420-1460℃.

[0009] Preferably, the method further comprises: controlling the proportion of powder having a particle size of 5 mm or less in the powder fed into the furnace to be less than 2%; The smelting cycle is controlled within 6 hours; The smelting blast furnace adopts 1250 blast furnace.

[0010] Preferably, it also includes conducting iron loss batch sampling, specifically: Construct historical weekly batch iron loss distribution data, and screen out all major iron loss monitoring batches of the current smelting week based on the historical weekly batch iron loss distribution data, and conduct spot checks on the smelting results of the corresponding batches based on all major iron loss monitoring batches.

[0011] Preferably, constructing historical weekly batch iron loss distribution data includes: Maintaining a raw-cooked material weight ratio of 3:97 for the charge, blast furnace smelting was carried out for several consecutive weeks, and the iron content of each batch of final smelting was collected each week. Based on the iron content of each batch of final smelting each week, the iron loss rate of each batch of each week was calculated to form historical weekly batch iron loss distribution data; Among them, the iron loss rate of each batch per week is calculated based on the final iron content of each batch per week: ;in, is the iron loss rate of the i-th batch in week X, is the feed amount of the ith batch in week X, is the mass fraction of iron in the feed, is the iron content of the final smelted batch i in week X; Based on the historical weekly batch iron loss distribution data, all major iron loss monitoring batches of the current smelting week are screened out, including: Calculate the importance of each batch: ;in, is the importance of the i-th batch, represents the number of batches with excessive iron loss rate in the i-th batch in a number of weeks, represents the maximum iron loss rate in the i-th batch in several weeks, represents the minimum iron loss rate in the i-th batch in several weeks, is the preset limit iron loss rate, is the compensation coefficient of the air volume entering the furnace, is the compensation coefficient for the impact of the air temperature entering the furnace, is the compensation coefficient of the oxygen enrichment rate entering the furnace, is the logarithm with base e; When the importance of one of the batches is greater than the preset importance, the batch will be used as the main iron loss monitoring batch; When spot checking iron loss batches, only the smelting results of the corresponding batches of all major iron loss monitoring batches are spot checked.

[0012] Preferably, the smelting process also includes prediction of the molten iron temperature, specifically: The temperature of the molten iron in each monitoring cycle is collected in real time, and a molten iron temperature prediction matrix is ​​constructed based on the temperature of the molten iron in each monitoring cycle. The molten iron temperature in the next monitoring cycle is predicted based on the molten iron temperature prediction matrix, and the molten iron temperature is adjusted in advance based on the molten iron temperature in the next monitoring cycle.

[0013] Preferably, the temperature of the molten iron in each monitoring period is collected in real time, and based on the temperature of the molten iron in each monitoring period, a molten iron temperature prediction matrix is ​​constructed, the molten iron temperature of the next monitoring period is predicted based on the molten iron temperature prediction matrix, and the molten iron temperature is controlled in advance based on the molten iron temperature of the next monitoring period, including: Step 1: Sort the temperature of the molten iron in each monitoring cycle in time sequence to obtain the sorting result, obtain the difference between each temperature value in the sorting result and its adjacent temperature value, obtain the left difference value and the right difference value of the corresponding temperature value, sort all the left difference values ​​and all the right difference values ​​respectively, and correspond them to the corresponding temperature value positions one by one, set the left difference value corresponding to the first temperature value to the same value as its right difference value, and set the right difference value corresponding to the last temperature value to the same value as its left difference value; Step 2: Based on the sorting results and the left difference and right difference corresponding to each temperature value, construct the molten iron temperature prediction matrix: ;in, is the molten iron temperature prediction matrix corresponding to the i-th monitoring period, is the temperature value of molten iron in the first monitoring cycle, is the temperature value of the molten iron in the second monitoring cycle, is the temperature value of the molten iron in the third monitoring cycle, is the temperature value of molten iron in the fourth monitoring cycle, For the The temperature value of molten iron in a monitoring cycle, is the temperature value of molten iron in the i-th monitoring cycle; Step 3: Obtain the mean of all elements in the second row and the mean of all elements in the third row in the molten iron temperature prediction matrix corresponding to the i-th monitoring period, replace the left difference and the right difference corresponding to the temperature value of the i-th monitoring period with the mean of the elements in the second row and the mean of the elements in the third row, respectively, to form a new matrix, and use the rank of the new matrix as the predicted molten iron temperature of the i+1-th monitoring period; Step 4: Adjust the furnace air temperature based on the predicted molten iron temperature of the i+1th monitoring cycle: Calculate the furnace air temperature for the next monitoring period: ;in, For the Monitoring cycle furnace air temperature, For the Monitoring cycle furnace air temperature, is the reference molten iron temperature, It is the predicted molten iron temperature of the i+1th monitoring cycle.

[0014] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention maintains the clinker in the charge at 97%, and shortens the charge smelting cycle by 10% by controlling the furnace air volume, air temperature and high oxygen enrichment rate, thereby achieving "fast in and fast out" of the charge, shortening the smelting process, and reducing the generation of metal [Ti]. By controlling the slag basicity, magnesium-aluminum ratio and molten iron temperature, the slag has good fluidity. The silicon-titanium mass ratio in the charge is 0.18-0.28. Under the condition of silicon-titanium smelting, the high furnace slag has desulfurization ability. Again, by stabilizing the raw materials entering the furnace, controlling the furnace temperature silicon-titanium deviation ≤0.05 / shift, eliminating high and low furnace temperature fluctuations, controlling the silicon-titanium level in the range of 0.18-0.28 to inhibit [Ti] reduction, thereby reducing TiNC and TiN, improving the slag fluidity, reducing the difficulty of slag-iron separation, thereby reducing iron loss, reducing metal loss during smelting, and reducing production costs; (2) The present invention constructs historical weekly batch iron loss distribution data, calculates the importance of each batch, and screens out the main iron loss monitoring batches that need to be inspected based on the importance, which helps to improve the pertinence and effectiveness of iron loss monitoring, reduce unnecessary repeated inspections, and thus optimize the quality management of the smelting process; (3) The present invention collects the temperature of molten iron in real time during each monitoring period, constructs a molten iron temperature prediction matrix, and predicts the molten iron temperature of the next monitoring period based on the matrix, so as to take measures in advance to adjust the furnace air temperature and ensure that the molten iron temperature is maintained within a preset range. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 The present invention is a schematic diagram of the steps of a method for reducing iron loss in high-titanium slag during blast furnace smelting. DETAILED DESCRIPTION

[0016] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0017] In addition, in the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes, and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions and technical features between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0018] The present invention provides the following embodiments: Example 1 The embodiment of the present invention provides a method for reducing iron loss in high-titanium slag during blast furnace smelting, such as Figure 1 As shown, the charge is mixed in a raw material and clinker weight ratio of 3:97, and the silicon-titanium mass ratio of the charge is controlled within a preset range. During smelting, the inlet air volume, inlet air temperature and inlet oxygen enrichment rate are controlled within a preset range, and the slag basicity, magnesium-aluminum ratio and molten iron temperature are controlled within a preset range.

[0019] Preferably, the weight ratio of the charge is 52-55% pellets, 42-45% sintered ore and 3% green ore.

[0020] Preferably, the mass ratio of silicon to titanium in the charge is 0.18-0.28.

[0021] Preferably, the preset range of the air volume entering the furnace during smelting is 3350-3400 / min; The preset range of the furnace air temperature is 1215-1230℃; The preset range of oxygen enrichment rate entering the furnace is 4.5-6%.

[0022] Preferably, the preset range of slag basicity is 1.10±0.05; The preset range of magnesium to aluminum ratio is 0.62-0.65; The preset range of molten iron temperature is 1420-1460℃.

[0023] Preferably, the proportion of powder with a particle size of 5 mm or less in the powder entering the furnace is controlled to be less than 2%; The smelting cycle is controlled within 6 hours; The smelting blast furnace adopts 1250 blast furnace.

[0024] The working principle and beneficial effects of the above technical solution are as follows: the present invention maintains the clinker (pellet ore and sintered ore) in the charge at 97%, shortens the charge smelting cycle by 10% by controlling the furnace air volume, wind temperature and high oxygen enrichment rate, realizes the "fast in and fast out" of the charge, shortens the smelting stroke, reduces the generation of metal [Ti], controls the slag basicity, magnesium-aluminum ratio and molten iron temperature, makes the slag have good fluidity, the silicon-titanium mass ratio in the charge is 0.18-0.28, and the high furnace slag has desulfurization ability under the silicon-titanium smelting condition, stabilizes the raw materials entering the furnace again, controls the furnace temperature silicon-titanium deviation ≤0.05 / shift, eliminates the fluctuation of high and low furnace temperatures, controls the silicon-titanium level in the range of 0.18-0.28 to inhibit [Ti] reduction, thereby reducing TiNC and TiN to improve the slag fluidity, reduce the difficulty of slag-iron separation, thereby reducing iron loss, reducing metal loss during smelting, and reducing production costs.

[0025] Example 2 On the basis of Example 1, the charge required for blast furnace smelting includes, by weight percentage, 55% pelletized ore, 42% sintered ore and 3% raw ore, the proportion of powder with a particle size of less than or equal to 5 mm in the powder entering the furnace is controlled to be less than 2%, and the silicon-titanium mass ratio in the charge is controlled to be 0.18.

[0026] The working principle and beneficial effect of the above technical solution are as follows: the charge is fed into 1250 The smelting cycle is controlled within 6 hours. Maintain at 125Kg / t to control the time that vanadium and titanium charge stays inside the blast furnace; The following parameters are controlled during the smelting process: The air volume into the furnace is controlled to be 3350 / min, high wind temperature of 1215℃ and high oxygen enrichment rate of 4.5%, so that the charge can quickly reach the furnace hearth inside the blast furnace, reducing the reaction time of Ti, controlling the slag basicity at 1.10±0.05, the magnesium-aluminum ratio at 0.62, and the molten iron temperature at 1420℃, so that the silicon-titanium mass ratio in the charge is 0.18-0.28 under smelting conditions, and the blast furnace slag has desulfurization ability.

[0027] Example 3 On the basis of Example 1, the charge required for blast furnace smelting includes, by weight percentage, 52% pelletized ore, 45% sintered ore and 3% raw ore, the proportion of powder with a particle size of less than or equal to 5 mm in the powder entering the furnace is controlled to be less than 2%, and the silicon-titanium mass ratio in the charge is controlled to be 0.28.

[0028] The working principle and beneficial effect of the above technical solution are as follows: the charge is fed into 1250 The smelting cycle is controlled within 6 hours. Maintain at 125Kg / t to control the time that vanadium and titanium charge stays inside the blast furnace; The following parameters are controlled during the smelting process: The air volume into the furnace is controlled to be 3400 / min, high wind temperature of 1230℃ and high oxygen enrichment rate of 6%, so that the charge can quickly reach the furnace hearth inside the blast furnace, reducing the reaction time of Ti, controlling the slag basicity at 1.10±0.05, the magnesium-aluminum ratio at 0.65, and the molten iron temperature at 1460℃, so that the silicon-titanium mass ratio in the charge is 0.18-0.28 under smelting conditions, and the blast furnace slag has desulfurization ability.

[0029] Example 4 On the basis of Example 1, it also includes a batch inspection of iron loss, specifically: Construct historical weekly batch iron loss distribution data, and screen out all major iron loss monitoring batches of the current smelting week based on the historical weekly batch iron loss distribution data, and conduct spot checks on the smelting results of the corresponding batches based on all major iron loss monitoring batches.

[0030] Preferably, constructing historical weekly batch iron loss distribution data includes: Maintaining a raw-cooked material weight ratio of 3:97 for the charge, blast furnace smelting was carried out for several consecutive weeks, and the iron content of each batch of final smelting was collected each week. Based on the iron content of each batch of final smelting each week, the iron loss rate of each batch of each week was calculated to form historical weekly batch iron loss distribution data; Among them, the iron loss rate of each batch per week is calculated based on the final iron content of each batch per week: ;in, is the iron loss rate of the i-th batch in week X, is the feed amount of the ith batch in week X, is the mass fraction of iron in the feed, is the iron content of the final smelted batch i in week X; Based on the historical weekly batch iron loss distribution data, all major iron loss monitoring batches of the current smelting week are screened out, including: Calculate the importance of each batch: ;in, is the importance of the i-th batch, represents the number of batches with excessive iron loss rate in the i-th batch in a number of weeks, represents the maximum iron loss rate in the i-th batch in several weeks, represents the minimum iron loss rate in the i-th batch in several weeks, is the preset limit iron loss rate, is the compensation coefficient of the air volume entering the furnace, is the compensation coefficient for the impact of the air temperature entering the furnace, is the compensation coefficient of the oxygen enrichment rate entering the furnace, is the logarithm with base e; When the importance of one of the batches is greater than the preset importance, the batch will be used as the main iron loss monitoring batch; When spot checking iron loss batches, only the smelting results of the corresponding batches of all major iron loss monitoring batches are spot checked.

[0031] The working principle and beneficial effects of the above technical solution are as follows: by analyzing and screening historical data, the iron loss batches that need to be monitored in the current smelting week are determined, and by constructing the historical weekly batch iron loss distribution data, the importance of each batch is calculated, and the main iron loss monitoring batches that need to be inspected are screened out according to the importance, which helps to improve the pertinence and effectiveness of iron loss monitoring, reduce unnecessary repeated inspections, and thus optimize the quality management of the smelting process; By analyzing historical data, we can select batches that need to be inspected in a targeted manner, reducing unnecessary inspections and improving work efficiency. By spot-checking major iron loss monitoring batches, we can promptly discover and correct potential problems to ensure product quality. By optimizing the iron loss monitoring strategy, we can avoid unnecessary repeated inspections, thereby reducing production costs.

[0032] Example 5 On the basis of Example 1, the smelting process also includes the prediction of the molten iron temperature, specifically: The temperature of the molten iron in each monitoring cycle is collected in real time, and a molten iron temperature prediction matrix is ​​constructed based on the temperature of the molten iron in each monitoring cycle. The molten iron temperature in the next monitoring cycle is predicted based on the molten iron temperature prediction matrix, and the molten iron temperature is adjusted in advance based on the molten iron temperature in the next monitoring cycle.

[0033] Preferably, the temperature of the molten iron in each monitoring period is collected in real time, and based on the temperature of the molten iron in each monitoring period, a molten iron temperature prediction matrix is ​​constructed, the molten iron temperature of the next monitoring period is predicted based on the molten iron temperature prediction matrix, and the molten iron temperature is controlled in advance based on the molten iron temperature of the next monitoring period, including: Step 1: Sort the temperature of the molten iron in each monitoring cycle in time sequence to obtain the sorting result, obtain the difference between each temperature value in the sorting result and its adjacent temperature value, obtain the left difference value and the right difference value of the corresponding temperature value, sort all the left difference values ​​and all the right difference values ​​respectively, and correspond them to the corresponding temperature value positions one by one, set the left difference value corresponding to the first temperature value to the same value as its right difference value, and set the right difference value corresponding to the last temperature value to the same value as its left difference value; Step 2: Based on the sorting results and the left difference and right difference corresponding to each temperature value, construct the molten iron temperature prediction matrix: ;in, is the molten iron temperature prediction matrix corresponding to the i-th monitoring period, is the temperature value of molten iron in the first monitoring cycle, is the temperature value of the molten iron in the second monitoring cycle, is the temperature value of the molten iron in the third monitoring cycle, is the temperature value of molten iron in the fourth monitoring cycle, For the The temperature value of molten iron in a monitoring cycle, is the temperature value of molten iron in the i-th monitoring cycle; Step 3: Obtain the mean of all elements in the second row and the mean of all elements in the third row in the molten iron temperature prediction matrix corresponding to the i-th monitoring period, replace the left difference and the right difference corresponding to the temperature value of the i-th monitoring period with the mean of the elements in the second row and the mean of the elements in the third row, respectively, to form a new matrix, and use the rank of the new matrix as the predicted molten iron temperature of the i+1-th monitoring period; Step 4: Adjust the furnace air temperature based on the predicted molten iron temperature of the i+1th monitoring cycle: Calculate the furnace air temperature for the next monitoring period: ;in, For the Monitoring cycle furnace air temperature, For the Monitoring cycle furnace air temperature, is the reference molten iron temperature, It is the predicted molten iron temperature of the i+1th monitoring cycle.

[0034] The working principle and beneficial effects of the above technical solution are as follows: by real-time monitoring and prediction of the molten iron temperature, the molten iron temperature is controlled in advance to ensure the stability of the smelting process. Specifically, by real-time acquisition of the molten iron temperature in each monitoring cycle, a molten iron temperature prediction matrix is ​​constructed, and the molten iron temperature of the next monitoring cycle is predicted based on the matrix, so that measures can be taken in advance to adjust the furnace air temperature to ensure that the molten iron temperature is maintained within a preset range; Through real-time monitoring and prediction of molten iron temperature, smelting conditions can be adjusted in time to ensure the stability of molten iron temperature and improve the stability of the smelting process; Predictive models can help identify possible temperature fluctuations in advance, so that preventive measures can be taken to reduce the adverse effects of temperature fluctuations during the smelting process; Stable molten iron temperature helps improve the quality and consistency of smelting products and reduces product quality problems caused by temperature fluctuations.

[0035] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for reducing iron loss in high-titanium slag during blast furnace smelting, characterized in that: include: The charge is mixed in a weight ratio of 3:97 between raw and clinker, and the silicon-titanium mass ratio of the charge is controlled within a preset range. During smelting, the air volume, air temperature and oxygen enrichment rate entering the furnace are controlled within a preset range, and the slag basicity, magnesium-aluminum ratio and molten iron temperature are controlled within a preset range.

2. The method for reducing iron loss in high-titanium slag during blast furnace smelting according to claim 1, characterized in that: The weight ratio of the charge is 52-55% pellets, 42-45% sintered ore and 3% green ore.

3. The method for reducing iron loss in high-titanium slag during blast furnace smelting according to claim 1, characterized in that: The mass ratio of silicon to titanium in the charge is 0.18-0.

28.

4. The method for reducing iron loss in high-titanium slag during blast furnace smelting according to claim 1, characterized in that: The preset range of the air volume during smelting is 3350-3400 / min; The preset range of the furnace air temperature is 1215-1230℃; The preset range of oxygen enrichment rate entering the furnace is 4.5-6%.

5. The method for reducing iron loss in high-titanium slag during blast furnace smelting according to claim 1, characterized in that: The preset range of slag basicity is 1.10 ± 0.05; The preset range of magnesium to aluminum ratio is 0.62-0.65; The preset range of molten iron temperature is 1420-1460℃.

6. The method for reducing iron loss in high-titanium slag during blast furnace smelting according to claim 1, characterized in that: Also includes: Control the proportion of powder with a particle size of 5 mm or less in the powder entering the furnace to be less than 2%; The smelting cycle is controlled within 6 hours; The smelting blast furnace adopts 1250 blast furnace.

7. The method for reducing iron loss in high-titanium slag during blast furnace smelting according to claim 1, characterized in that: It also includes iron loss batch inspection, specifically: Construct historical weekly batch iron loss distribution data, and screen out all major iron loss monitoring batches of the current smelting week based on the historical weekly batch iron loss distribution data, and conduct spot checks on the smelting results of the corresponding batches based on all major iron loss monitoring batches.

8. The method for reducing iron loss in high-titanium slag during blast furnace smelting according to claim 7, characterized in that: Build historical weekly batch iron loss distribution data including: Maintaining a raw-cooked material weight ratio of 3:97 for the charge, blast furnace smelting was carried out for several consecutive weeks, and the iron content of each batch of final smelting was collected each week. Based on the iron content of each batch of final smelting each week, the iron loss rate of each batch of each week was calculated to form historical weekly batch iron loss distribution data; Among them, the iron loss rate of each batch per week is calculated based on the final iron content of each batch per week: ;in, is the iron loss rate of the i-th batch in week X, is the feed amount of the ith batch in week X, is the mass fraction of iron in the feed, is the iron content of the final smelted batch i in week X; Based on the historical weekly batch iron loss distribution data, all major iron loss monitoring batches of the current smelting week are screened out, including: Calculate the importance of each batch: ;in, is the importance of the i-th batch, represents the number of batches with excessive iron loss rate in the i-th batch in a number of weeks, represents the maximum iron loss rate in the i-th batch in several weeks, represents the minimum iron loss rate in the i-th batch in several weeks, is the preset limit iron loss rate, is the compensation coefficient for the impact of the air volume entering the furnace, is the compensation coefficient of the furnace air temperature, is the compensation coefficient of the oxygen enrichment rate entering the furnace, is the logarithm with base e; When the importance of one of the batches is greater than the preset importance, the batch will be used as the main iron loss monitoring batch; When spot checking iron loss batches, only the smelting results of the corresponding batches of all major iron loss monitoring batches are spot checked.

9. The method for reducing iron loss in high-titanium slag during blast furnace smelting according to claim 1, characterized in that: The smelting process also includes the prediction of molten iron temperature, specifically: The temperature of the molten iron in each monitoring cycle is collected in real time, and a molten iron temperature prediction matrix is ​​constructed based on the temperature of the molten iron in each monitoring cycle. The molten iron temperature in the next monitoring cycle is predicted based on the molten iron temperature prediction matrix, and the molten iron temperature is adjusted in advance based on the molten iron temperature in the next monitoring cycle.

10. The method for reducing iron loss in high-titanium slag during blast furnace smelting according to claim 9, characterized in that: The temperature of the molten iron in each monitoring cycle is collected in real time, and a molten iron temperature prediction matrix is ​​constructed based on the temperature of the molten iron in each monitoring cycle. The molten iron temperature of the next monitoring cycle is predicted based on the molten iron temperature prediction matrix, and the molten iron temperature is controlled in advance based on the molten iron temperature of the next monitoring cycle, including: Step 1: Sort the temperature of the molten iron in each monitoring cycle in time sequence to obtain the sorting result, obtain the difference between each temperature value in the sorting result and its adjacent temperature value, obtain the left difference value and the right difference value of the corresponding temperature value, sort all the left difference values ​​and all the right difference values ​​respectively, and correspond them to the corresponding temperature value positions one by one, set the left difference value corresponding to the first temperature value to the same value as its right difference value, and set the right difference value corresponding to the last temperature value to the same value as its left difference value; Step 2: Based on the sorting results and the left difference and right difference corresponding to each temperature value, construct the molten iron temperature prediction matrix: ;in, is the molten iron temperature prediction matrix corresponding to the i-th monitoring period, is the temperature value of molten iron in the first monitoring cycle, is the temperature value of the molten iron in the second monitoring cycle, is the temperature value of the molten iron in the third monitoring cycle, is the temperature value of molten iron in the fourth monitoring cycle, For the The temperature value of molten iron in a monitoring cycle, is the temperature value of molten iron in the i-th monitoring cycle; Step 3: Obtain the mean of all elements in the second row and the mean of all elements in the third row in the molten iron temperature prediction matrix corresponding to the i-th monitoring period, replace the left difference and the right difference corresponding to the temperature value of the i-th monitoring period with the mean of the elements in the second row and the mean of the elements in the third row, respectively, to form a new matrix, and use the rank of the new matrix as the predicted molten iron temperature of the i+1-th monitoring period; Step 4: Adjust the furnace air temperature based on the predicted molten iron temperature of the i+1th monitoring cycle: Calculate the furnace air temperature for the next monitoring period: ;in, For the Monitoring cycle furnace air temperature, For the Monitoring cycle furnace air temperature, is the reference molten iron temperature, It is the predicted molten iron temperature of the i+1th monitoring cycle.

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