Blast furnace control method for stabilizing peripheral gas flow

Abstract

The present invention provides a method for controlling a blast furnace to stabilize peripheral gas flow, the method comprising the steps of: constructing a database; and selecting from the database a blast furnace operation parameter that satisfies a first predetermined condition in order to generate a setting command for the blast furnace operation parameter for a next operation stage, the first predetermined condition including that PD<a predetermined value PD0, and in which a blast furnace operation parameter corresponding to a minimum value of PU is selected while satisfying the condition.

Description

[Technical Field]

[0001] The present invention belongs to the technical field of smelting blast furnace control and relates to a method for controlling a blast furnace to stabilize peripheral gas flow. [Background technology]

[0002] Cooling walls are a type of cooler commonly used in blast furnaces today. They are installed inside the furnace shell. Cooling water is injected into the cooling wall and flows through it, allowing heat exchange with the furnace interior, further lowering the furnace temperature and preventing high-temperature heat flow from directly reaching the furnace shell. The cohesive zones within a blast furnace are primarily located in the belly, lower back, and lower chest areas. These cooling walls are subject to the high-temperature thermal loads within the furnace. Extreme temperature changes, erosion by hot liquid iron slag, erosion and abrasion by charge materials and coal gas, and erosion by alkali metals and CO2 all damage the cooling walls. Blast furnace cooling walls typically have more than a dozen layers, from the hearth to the throat. To extend the service life of the cooling walls in the belly, lower back, and lower chest areas, copper cooling walls with excellent thermal conductivity and impact resistance are typically used for the first nine layers, while cast iron cooling walls with excellent wear resistance are used for the tenth through twelfth layers.

[0003] However, during blast furnace operation, abnormal furnace conditions such as adhesion and tubular gas flow often occur. Adhesion refers to the adhesion of lumpy or granular charge materials to the cooling walls, affecting the cooling effect of the cooling walls in that area and preventing the high temperature inside the blast furnace from being immediately discharged. Pipe flow refers to the formation of cavities in the charge material, forming tubular gas flows, which significantly increase the local temperature inside the blast furnace. These abnormal conditions occur at the periphery of the blast furnace. One manifestation of this is large fluctuations in the peripheral gas flow of the blast furnace, which has a serious impact on the smooth operation of the blast furnace. Therefore, these abnormal furnace conditions must be controlled and adjusted to ensure smooth operation of the blast furnace. Summary of the Invention

[0004] An object of the present invention is to provide a control method for a blast furnace that stabilizes the peripheral gas flow in order to solve the problem in the prior art that the fluctuation of the peripheral gas flow in the blast furnace is large and affects the smooth operation of the blast furnace.

[0005] To achieve the above object, an embodiment of the present invention includes: constructing a database of blast furnace operation parameters including the lower gas flow average excess number PD, the upper gas flow average excess number PU, blast furnace raw material parameters, distribution system parameters, blowing system parameters, and cooling system parameters in the collected production history; selecting blast furnace operation parameters that satisfy a first predetermined condition from the database in order to generate a setting command for the blast furnace operation parameters for the next operation stage. The first predetermined condition includes that the lower gas flow average excess number PD < a predetermined value PD0, and while satisfying the condition of PD < PD0, the blast furnace operation parameters corresponding to the minimum value of the upper gas flow average excess number PU are selected. When counting the lower gas flow average excess number PD and the upper gas flow average excess number PU, for k = 5, 6,..., 12, the correlation coefficient R k between the temperature standard deviation ΔT k of the cooling wall in the k-th stage and the heat load standard deviation ΔTL of the blast furnace is calculated respectively. Among the cooling walls from the 5th stage to the 9th stage, the gas flow average excess number corresponding to the cooling wall in the stage with the largest correlation coefficient R k is counted and used as the lower gas flow average excess number PD. Among the cooling walls from the 10th stage to the 12th stage, the gas flow average excess number corresponding to the cooling wall in the stage with the largest correlation coefficient R k is counted and used as the upper gas flow average excess number PU, providing a method for stably controlling the peripheral gas flow of the blast furnace.

[0006] As a further improvement of one embodiment of the present invention, the step of "constructing a database of blast furnace operation parameters" includes the steps of: ranking the counted lower gas flow average excess numbers PD in order of magnitude, obtaining lower gas flow average excess numbers PD in different interval ranges, and calculating an average value for each blast furnace operation parameter belonging to the same rank; The first predetermined condition includes that the maximum value within the range of the rank to which the lower gas flow average power PD belongs is less than a predetermined value PD0, and the average value of the blast furnace operation parameter corresponding to the minimum value of the upper gas flow average power PU is selected while satisfying this condition.

[0007] As a further refinement of one embodiment of the present invention, the temperature standard deviation ΔT of the cooling wall of the kth stage k and the standard deviation of the blast furnace heat load ΔTL

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[0008] As a further refinement of an embodiment of the present invention, the temperature standard deviation of the cooling wall of the kth stage

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[0009] In a further refinement of an embodiment of the present invention, the temperature of the cooling wall is collected by a thermocouple located on the cooling wall, and the sample data set is subjected to outlier removal and data removal during unstable operating conditions to obtain a final processed sample data set.

[0010] As a further refinement of an embodiment of the present invention, the standard deviation of the heat load of the cooling wall

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number

[0011] As a further improvement of an embodiment of the present invention, the heat load of the blast furnace

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[0012] In a further refinement of an embodiment of the present invention, in counting the gas flow average number of: collecting a plurality of temperature data at the cooling wall and ordering the plurality of temperature data according to collection time; removing disturbance temperature data from the plurality of temperature data to determine a plurality of analysis temperature data; performing a moving average process on each of the analysis temperature data in sequence according to the order in which the plurality of analysis temperature data are determined; Moving average processed analysis temperature data T p Counting the gas flow average exceedance based on the above, and defining the temperature data that simultaneously meets the second predetermined condition and the third predetermined condition as one (one) gas flow average exceedance, and determining the gas flow average exceedance of each stage's cooling wall as the sum of the gas flow average exceedances of multiple temperature collection points on the cooling wall of that stage within a predetermined time; The second predetermined condition is T p >T p-1 and T p >T p+1 where T p-1 , T p , T p+1 are the p-1th, pth, and p+1th analytical temperature data, respectively, The third predetermined condition is that the analytical temperature data of the cooling walls from the fifth stage to the ninth stage

number

number

number

[0013] In a further refinement of an embodiment of the present invention, the moving average process comprises: constructing a sliding window with a preset step size, and sliding the sliding window forward in the order of collection time according to the preset step size from the first temperature data of the plurality of analysis temperature data until the last temperature data falls within the sliding window; The method includes a step of obtaining multiple analytical temperature data after multiple sliding operations, and after each sliding operation, taking the average value of the temperature data within the sliding window as the analytical temperature data of the intermediate collection point within the sliding window.

[0014] In a further refinement of an embodiment of the present invention, the disturbance temperature data may be a plurality of consecutive constant and unchanging temperature data, a predetermined range (T min ,T max ) and temperature data for two hours before, during, and after the backflow shutoff valve is opened.

[0015] As a further refinement of an embodiment of the present invention, the blast furnace feed parameters include Zn content, alkali metal content, and proportion of sintered fine ore in the blast furnace feed, The distribution system parameters include a maximum tilting angle, a charge height, and a peripheral load O / C, where O is the number of outermost two ore layers / (total number of ore layers×ore batch), and C is the number of outermost two coke layers / (total number of coke layers×coke batch); The blowing system parameters include tuyere area, tuyere length, air volume and oxygen content; The cooling system parameters include the cooling wall intake water temperature and cooling water flow rate.

[0016] The beneficial effect of the present invention compared to the prior art is that the temperature standard deviation ΔT k and the correlation coefficient R between the standard deviation of the blast furnace heat load ΔTL kBy calculating and counting, it is possible to respectively identify the upper cooling wall and the lower cooling wall of the stage that is most affected by temperature changes in the blast furnace, and the gas flow average value of the cooling wall of that stage indicates the corresponding fluctuation situation of the peripheral gas flow in the blast furnace. Furthermore, based on the lower gas flow average value PD and the upper gas flow average value PU in the historical data, an optimized blast furnace operation parameter combination is selected for use in the next stage of blast furnace operation, thereby targeting and controlling the blast furnace operation parameters that affect the peripheral gas flow in the blast furnace, and achieving the goal of guiding the blast furnace to operate smoothly. Therefore, it is necessary to avoid the occurrence of abnormal conditions in the blast furnace by blindly setting the blast furnace operation parameters based on the operator's experience. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a cross-sectional view of a blast furnace top facility according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0018] The present invention will be described in detail below with reference to specific embodiments shown in the drawings, but these embodiments are not intended to limit the present invention, and any structural, method or functional changes made by those skilled in the art based on these embodiments are within the scope of protection of the present invention.

[0019] One embodiment of the present invention provides a method for controlling a blast furnace to stabilize peripheral gas flow in order to ensure smooth operation of the blast furnace and avoid abnormal furnace conditions such as deposition inside the blast furnace and tubular gas flow in the burden.

[0020] Referring to the blast furnace hearth equipment of FIG. 1 , the furnace body 100 includes, from top to bottom, a furnace throat 1, a furnace chest 2, a furnace lower part 3, a furnace belly 4, and a hearth 5. The blast furnace cooling walls 6 cover the furnace body 100, and the cooling walls 6 are divided into a total of 12 levels, numbered sequentially from bottom to top. Of these, the first to third levels cover the hearth 5, the fourth and fifth levels cover the furnace belly 4, the sixth level covers the furnace lower part 3, and the seventh to twelfth levels cover the furnace chest 2. The first to ninth levels of the cooling walls are made of copper, which has excellent thermal conductivity and impact resistance, and the tenth to twelfth levels of the cooling walls are made of cast iron, which has excellent wear resistance.

[0021] Each step of the control method will be described below with reference to the blast furnace top equipment shown in FIG.

[0022] (Step of building a database of blast furnace operating parameters) The database includes the lower gas flow average number PD, the upper gas flow average number PU, blast furnace raw material parameters, distribution system parameters, blower system parameters, and cooling system parameters in the collected production history.

[0023] Specifically, the blast furnace raw material parameters include the Zn content, alkali metal content, and proportion of sintered ore powder in the blast furnace raw material. By adjusting and controlling these parameters, adhesion to the furnace wall can be avoided.

[0024] The distribution system parameters include the maximum tilting angle, the burden height, and the peripheral load O / C, where O is the number of the outermost two ore layers / (total number of ore layers × ore batch), C is the number of the outermost two coke layers / (total number of coke layers × coke batch), and the peripheral load O / C characterizes the ratio of the ore thickness to the coke thickness at the peripheral part of the blast furnace. These parameters can adjust and control the thickness of the material layer at the peripheral part of the blast furnace and the shape of the burden, and can further affect the rolling behavior of the burden material and avoid the occurrence of tubular gas flow.

[0025] The blast furnace system parameters include tuyere area, tuyere length, air volume, and oxygen content. By these parameters, the flow rate of the gas stream entering the blast furnace and the kinetic energy of the air can be adjusted and controlled, thereby directly affecting the gas stream distribution status at various locations in the blast furnace.

[0026] The cooling system parameters include the water intake temperature of the cooling wall 6 and the flow rate of the cooling water. By adjusting and controlling these parameters, the cooling capacity of the cooling water in the cooling wall 6 can be adjusted and controlled, and further the heat exchange with the inside of the blast furnace can be affected.

[0027] (Step of selecting blast furnace operation parameters that meet the first predetermined condition from the database to generate a setting command for blast furnace operation parameters for the next operation stage) The first predetermined condition includes that the average excess number PD of the lower gas stream < a predetermined value PD0, and while satisfying the condition of PD < PD0, the blast furnace operation parameters corresponding to the minimum value of the average excess number PU of the upper gas stream are selected.

[0028] Here, when counting the average excess number PD of the lower gas stream and the average excess number PU of the upper gas stream, For k = 5, 6,..., 12, the temperature standard deviation ΔT of the cooling wall at the k-th stage k and the correlation coefficient R between the heat load standard deviation ΔTL of the blast furnace k are calculated respectively, Among the cooling walls from the 5th stage to the 9th stage, the average excess number of the gas stream corresponding to the cooling wall at the stage with the largest correlation coefficient R k is counted, and it is taken as the average excess number PD of the lower gas stream, Among the cooling walls from the 10th stage to the 12th stage, the average excess number of the gas stream corresponding to the cooling wall at the stage with the largest correlation coefficient R k is counted, and it is taken as the average excess number PU of the upper gas stream.

[0029] The cohesive zone inside the blast furnace is mainly distributed in the belly 4, the lower part 3, and the lower part of the chest 2. This corresponds to the cooling wall area from the fifth to ninth levels. The distribution of the cohesive zone around the periphery of the blast furnace is reflected in this cooling wall area, and the formation and shedding of slag skin is mainly concentrated in this area. This area has a high thermal load and uses copper cooling walls with good cooling performance, resulting in excellent cooling effect. On the other hand, the upper area of ​​the chest 2 of the blast furnace, i.e., the area corresponding to the cooling walls from the tenth to twelfth levels, belongs to the dry area of ​​the blast furnace. The furnace walls in this area mainly withstand physical friction caused by the descent of the charge material and the thermal expansion of the charge material. The gas flow distribution inside the blast furnace after passing through the cohesive zone is also reflected in this cooling wall area. This area uses cast iron cooling walls with excellent friction resistance, which can extend the service life of the blast furnace. The temperature standard deviation ΔT of each cooling wall k and the correlation coefficient R between the standard deviation of the blast furnace heat load ΔTL k By calculating and counting, it is possible to respectively identify the upper cooling wall and the lower cooling wall of the stage that is most affected by temperature changes in the blast furnace, and the gas flow average value of the cooling wall of that stage indicates the corresponding fluctuation situation of the peripheral gas flow in the blast furnace. Furthermore, based on the lower gas flow average value PD and the upper gas flow average value PU in the historical data, an optimized blast furnace operation parameter combination is selected for use in the next stage of blast furnace operation, thereby achieving the goal of targeting and controlling the blast furnace operation parameters that affect the peripheral gas flow in the blast furnace and guiding the blast furnace to operate smoothly. Therefore, it is possible to avoid the occurrence of abnormal furnace conditions in the blast furnace caused by blindly setting the blast furnace operation parameters based on the operator's experience.

[0030] Specifically, in this embodiment, the step of "constructing a database of blast furnace operation parameters" includes a step of ranking the counted lower gas flow average excess numbers PD in order of magnitude, obtaining lower gas flow average excess numbers PD in different interval ranges, and calculating an average value for each blast furnace operation parameter belonging to the same rank, The first predetermined condition includes that the maximum value within the range of the rank to which the lower gas flow average power PD belongs is less than a predetermined value PD0, and the average value of the blast furnace operation parameter corresponding to the minimum value of the upper gas flow average power PU is selected while satisfying this condition.

[0031] Specifically, the temperature standard deviation ΔT of the cooling wall of the kth stage k and the standard deviation of the blast furnace heat load ΔTL

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[0032] Furthermore, the temperature standard deviation of the cooling wall of the kth stage

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[0033] Specifically, the temperature of the cooling wall 6 is collected by thermocouples arranged on the cooling wall 6. In this embodiment, m thermocouples are provided on the cooling wall of each stage, i.e., m temperature collection points are provided on the cooling wall of each stage.

[0034] During the temperature collection process, abnormal values ​​are removed from the sample data set, and disturbance temperature data such as data under unstable operating conditions is removed, and a final processed sample data set is obtained, thereby removing abnormal data that disturbs the final detection results, and accurately adjusting and controlling the blast furnace operation.

[0035] In this embodiment, the abnormal value is a value that is determined by a plurality of consecutive constant temperature data and a predetermined range (T min ,T max ) and the data under the unstable operating conditions includes temperature data for two hours before the backflow shutoff valve opens, while the valve is open, and two hours after the valve closes.

[0036] Furthermore, the standard deviation of the heat load of the cooling wall 6

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[0037] Heat load TL of the blast furnace i The formula for this is:

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[0038] Temperature standard deviation ΔT of the cooling wall of each stage k and the correlation coefficient R between the standard deviation of the blast furnace heat load ΔTL k This characterizes the correlation between the temperature fluctuation state of the cooling wall at each stage and the heat exchange amount of the cooling wall 6 of the entire furnace body 100 of the blast furnace.

[0039] Furthermore, the process of counting the average number of gas flows in the blast furnace control method for stabilizing the peripheral gas flow comprises: collecting a plurality of temperature data at the cooling wall 6 and ordering the plurality of temperature data according to collection time; removing disturbance temperature data from the plurality of temperature data to determine a plurality of analysis temperature data; performing a moving average process on each of the analysis temperature data in sequence according to the order in which the plurality of analysis temperature data are determined; Moving average processed analysis temperature data T p and counting the gas flow average exceedances based on the temperature data, defining temperature data that simultaneously satisfy the second and third predetermined conditions as one gas flow average exceedance, and determining the gas flow average exceedance of each stage's cooling wall as the sum of the gas flow average exceedances of multiple temperature collection points on the cooling wall of that stage within a predetermined time period.

[0040] The second predetermined condition is T p >T p-1 and T p >T p+1 where T p-1 , T p , T p+1 are the p-1th, pth, and p+1th analytical temperature data, respectively, The third predetermined condition is that the analytical temperature data of the cooling walls from the fifth stage to the ninth stage

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[0041] The lower gas flow average power PD is calculated by the above method using the correlation coefficient R k The third predetermined condition is obtained by processing the temperature data of the cooling wall of the stage having the largest value, and the analyzed temperature data of the cooling wall of the fifth stage to the ninth stage is

number

[0042] The upper gas flow average power PU is calculated by the above method using the correlation coefficient R k The third predetermined condition is obtained by processing the temperature data of the cooling wall of the stage having the largest value, and the analyzed temperature data of the cooling wall of the 10th stage to the 12th stage is

number

[0043] In this way, the gas flow average value indicates the temperature fluctuation status of the cooling wall 6 within a specified time period, and by counting the gas flow average values ​​of the upper and lower cooling walls of the stages that are most affected by temperature changes in the blast furnace, and selecting appropriate ranges of the lower gas flow average value PD and the upper gas flow average value PU based on historical data, the blast furnace operating parameters can be adjusted, controlled, and guided.

[0044] Furthermore, the moving average processing is constructing a sliding window with a preset step size, and sliding the sliding window forward in the order of collection time according to the preset step size from the first temperature data of the plurality of analysis temperature data until the last temperature data falls within the sliding window; The method includes a step of obtaining multiple analytical temperature data after multiple sliding operations, and after each sliding operation, taking the average value of the temperature data within the sliding window as the analytical temperature data of the intermediate collection point within the sliding window.

[0045] By the moving average processing, a smooth and regular temperature change curve can be obtained and burrs can be removed, thereby counting and quantifying the temperature fluctuation situation, i.e., the gas flow exceeding the average situation, and further establishing a quantitative relationship between the temperature of the cooling wall 6 and the peripheral gas flow situation of the blast furnace.

[0046] Furthermore, the disturbance temperature data may include a plurality of continuous constant temperature data, a predetermined range (T min ,T max This includes temperature data outside the valve, as well as temperature data for two hours before the valve is opened, while the valve is open, and two hours after the valve is closed. By removing abnormal values ​​from the temperature data and removing disturbance temperature data such as data from unstable operating conditions, abnormal data that disrupts the final detection results is removed, allowing for accurate adjustment and control of blast furnace operation.

[0047] The method for controlling a blast furnace to stabilize the peripheral gas flow of the present invention will be further described below with specific examples.

[0048] The temperature of the cooling wall 6 is collected every two minutes by m thermocouples arranged in the cooling wall of each stage so as to collect multiple temperature data in the cooling walls from the 5th stage to the 12th stage, and the multiple temperature data are ordered according to the collection time.

[0049] Disturbance temperature data from the plurality of temperature data is removed to determine a plurality of analysis temperature data, wherein the disturbance temperature data is a plurality of continuous constant temperature data, a predetermined range (T min ,T max ) and temperature data for two hours before, during, and after the backflow shutoff valve is opened.

[0050] According to the order in which the plurality of analytical temperature data are determined, a moving average process is performed on each analytical temperature data in order. Specifically, a sliding window with a preset step size of 2 minutes is constructed, and the sliding interval of the sliding window is set to 22 minutes, i.e., the sliding window includes 11 temperature data. The sliding window slides forward in the order of collection time according to the set step size from the first temperature data among the plurality of analytical temperature data until the last temperature data falls within the sliding window. After each slide, the average value of the temperature data within the sliding window is set as the analytical temperature data of the sixth temperature collection point within the sliding window. After five slides, the plurality of analytical temperature data T p was obtained.

[0051] Moving average processed analysis temperature data T p Based on the average number of gas flow, the number of T p >T p-1 , T p >T p+1 , and

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[0052] The temperature of each cooling wall is collected every two minutes by m thermocouples arranged on the cooling wall of each stage. During the temperature collection process, outliers are removed from the sample data set, and disturbance temperature data such as data in an unstable operating state are removed to obtain a final processed sample data set. The outliers are a series of constant and unchanging temperature data and temperature data within a predetermined range (T min ,T max ) and the data under the unstable operating conditions includes temperature data for two hours before the backflow shutoff valve opens, while the valve is open, and two hours after the valve closes.

[0053] The temperature standard deviation ΔT of the cooling wall of the kth stage k is calculated using the following formula:

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[0054] calculation formula

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[0055] The heat load standard deviation ΔTL of the cooling wall 6 is calculated from the following formula.

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[0056] Temperature standard deviation ΔT of the cooling wall in the kth stage k and the correlation coefficient R between the standard deviation of the blast furnace heat load ΔTL k is calculated using the following formula:

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[0057] Correlation coefficient R of cooling walls from the 5th to 12th stages k The lower gas flow average number PD is calculated by the correlation coefficient R k is the gas flow average power of the cooling wall of the largest stage, and the upper gas flow average power PU is the correlation coefficient R k is the average gas flow rate of the cooling wall of the largest stage.

[0058] A database of blast furnace operating parameters including the lower gas flow average number PD, the upper gas flow average number PU, blast furnace raw materials, distribution system parameters, blast system parameters, and cooling system parameters in the collected production history is constructed.

[0059] Specifically, the blast furnace raw material parameters include the Zn content, alkali metal content, and proportion of sintered ore powder in the blast furnace raw material. The distribution system parameters include the maximum tilting angle, charge height, and peripheral load O / C. The air blowing system parameters include the tuyere area, tuyere length, air volume, and oxygen content. The cooling system parameters include the intake water temperature of the cooling wall 6 and the flow rate of cooling water.

[0060] The counted lower gas flow average excess numbers PD are ranked in order of magnitude to obtain lower gas flow average excess numbers PD for five different interval ranges, and the average value is calculated for each blast furnace operating parameter belonging to the same rank to obtain a database of blast furnace operating parameters shown in Table 1. [Table 1]

[0061] In this embodiment, when PD0 is 5.7, the PD values ​​of ranks 1, 2, and 3 satisfy the first predetermined condition, and the one with the smallest PU value is selected from ranks 1, 2, and 3. Therefore, the blast furnace operation parameters corresponding to rank 3 are selected to generate the setting instructions for the blast furnace operation parameters for the next operation stage, thereby effectively maintaining the stability of the peripheral gas flow of the blast furnace and realizing the stable and smooth operation of the blast furnace.

[0062] In summary, compared to the prior art, the control of the blast furnace to stabilize the peripheral gas flow of the present invention reduces the temperature standard deviation ΔT of the cooling wall of each stage. k and the correlation coefficient R between the standard deviation of the blast furnace heat load ΔTL k By calculating and counting, it is possible to respectively identify the upper and lower cooling walls of the stages that are most affected by temperature changes in the blast furnace, and the gas flow average value of the cooling walls of the stages indicates the corresponding fluctuations in the peripheral gas flow in the blast furnace. Furthermore, based on the lower gas flow average value PD and the upper gas flow average value PU in the historical data, an optimized blast furnace operation parameter combination is selected for use in the next stage of blast furnace operation, thereby achieving the goal of targeting and controlling the blast furnace operation parameters that affect the peripheral gas flow in the blast furnace and ensuring smooth operation of the blast furnace. This has the beneficial effect of preventing abnormal furnace conditions from occurring when blast furnace operation parameters are blindly set based on the operator's experience.

[0063] This specification is described according to embodiments, but each embodiment does not include only one independent technical solution, and the description format such as the specification is for clarification purposes only. Those skilled in the art should consider this specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that are understandable to those skilled in the art.

[0064] The series of detailed descriptions listed above are merely specific descriptions of possible embodiments of the present invention, and are not intended to limit the protection scope of the present invention; any equivalent embodiments or modifications made without departing from the technical spirit of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for controlling a blast furnace, which stabilizes peripheral gas flow in a blast furnace having cooling walls divided into 1st to 12th stages from the bottom, comprising: Building a database of blast furnace operation parameters including a lower gas flow average number PD, an upper gas flow average number PU, blast furnace raw material parameters, distribution system parameters, blower system parameters, and cooling system parameters in the collected production history; selecting from the database blast furnace operating parameters that satisfy a first predetermined condition to generate blast furnace operating parameter setting instructions for a next operation stage; The blast furnace raw material parameters include a Zn content, an alkali metal content, and a proportion of sintered ore powder in the blast furnace raw material; The distribution system parameters include a maximum tilting angle, a charge height, and a peripheral load O / C, where O is the number of ore layers in the outermost two layers (two laps) / (total number of ore layers × ore batch), and C is the number of coke layers in the outermost two layers / (total number of coke layers × coke batch); The blowing system parameters include tuyere area, tuyere length, air volume and oxygen content; the cooling system parameters include a cooling wall intake water temperature and a cooling water flow rate; the first predetermined condition includes that the lower gas flow average power PD is less than a predetermined value PD0, and the blast furnace operation parameters corresponding to the minimum value of the upper gas flow average power PU are selected while satisfying the condition PD<PD0; the process of counting the gas flow average number of collecting a plurality of temperature data at each stage of the cooling wall and ordering the plurality of temperature data according to collection time; removing disturbance temperature data from the plurality of temperature data to determine a plurality of analysis temperature data; performing a moving average process on each of the analysis temperature data in sequence according to the order in which the plurality of analysis temperature data are determined; and counting the number of gas flow average exceedances when analytical temperature data T p that simultaneously satisfies the second and third predetermined conditions is defined as one gas flow average exceedance based on each analytical temperature data T p that has been subjected to the moving average processing, and determining the gas flow average exceedance number of each stage of the cooling wall as the sum of the gas flow average exceedance numbers of multiple temperature collection points in that stage of the cooling wall within a predetermined time period, the second predetermined condition is T p >T p-1 and T p >T p+1 , where T p-1 , T p , and T p+1 are the (p-1)th, pth, and p+1th analytical temperature data, respectively; The third predetermined condition is that the analytical temperature data of the fifth to ninth stages of the cooling wall [Equation 1] or analytical temperature data from the 10th to 12th stages of the cooling wall is [Equation 2] and [Equation 3] is the average temperature within a unit time, In counting the lower gas flow average number PD and the upper gas flow average number PU, For k = 5, 6, ..., 12, the temperature standard deviation ΔT of the kth stage of the cooling wall ｋ The correlation coefficient R between the blast furnace heat load standard deviation ΔTL ｋ Calculate each of Among the 5th to 9th stages of the cooling wall, the correlation coefficient R ｋ Count the gas flow average excess number corresponding to the stage with the largest value, and set it as the lower gas flow average excess number PD; Among the 10th to 12th stages of the cooling wall, the correlation coefficient R ｋ Count the gas flow average excess number corresponding to the stage with the largest value, and set it as the upper gas flow average excess number PU; Correlation coefficient between the temperature standard deviation ΔT k of the kth stage of the cooling wall and the heat load standard deviation ΔTL of the blast furnace [Equation 4] and During the ceremony, [Equation 5] is the sample covariance of ΔT k and ΔTL at multiple unit times within a predetermined time, [Equation 6] is the variance of ΔT k over multiple unit times within a given time period, [Equation 7] is the variance of ΔTL over multiple unit times within a predetermined time, Temperature standard deviation of the kth stage of the cooling wall [Equation 8] and where m is the number of temperature collection points in the k-th stage of the cooling wall, j = 1, ..., m, T i is the i-th temperature data of a temperature collection point in the k-th stage of the cooling wall, n is the number of temperature samples in a unit time, i = 1, ..., n, [Equation 9] is the average temperature within a unit time, Standard deviation of heat load on the cooling wall [Equation 10] and where TL i is the heat load of the blast furnace when the i-th temperature data is collected, n is the number of heat load samples in a unit time, and i=1,...,n; [0011] is an average heat load within a unit time.

2. The step of "constructing a database of blast furnace operation parameters" includes a step of ranking the counted lower gas flow average excess numbers PD in order of magnitude, obtaining lower gas flow average excess numbers PD in different interval ranges, and calculating an average value for each blast furnace operation parameter belonging to the same rank; 2. The blast furnace control method for stabilizing peripheral gas flow according to claim 1, wherein the first predetermined condition includes that the maximum value within the range of the rank to which the lower gas flow average integer PD belongs is less than a predetermined value PD0, and the average value of the blast furnace operation parameter corresponding to the minimum value of the upper gas flow average integer PU is selected while satisfying this condition.

3. 2. The method for controlling a blast furnace to stabilize peripheral gas flow according to claim 1, further comprising the steps of: collecting the temperature of the cooling wall by a thermocouple disposed on the cooling wall; filtering outliers from the sample data set; filtering out data during unstable operating conditions; and obtaining a processed final sample data set.

4. Heat load of the blast furnace [0012] and where c is the specific heat capacity of water, F is the flow rate of cooling water in the cooling wall, and T ｏｕｔ is the outlet water temperature of the cooling wall, and T ｉｎ 2. The method for controlling a blast furnace to stabilize peripheral gas flow according to claim 1, wherein: is the intake water temperature of the cooling wall.

5. The moving average process is constructing a sliding window with a preset step size, and sliding the sliding window forward in the order of collection time according to the preset step size from the first temperature data of the plurality of analysis temperature data until the last temperature data falls within the sliding window; 2. The method for controlling a blast furnace to stabilize a peripheral gas flow according to claim 1, further comprising the step of: after each sliding, obtaining a plurality of analytical temperature data after sliding a plurality of times, setting an average value of the temperature data within the sliding window as analytical temperature data at an intermediate collection point within the sliding window.

6. The disturbance temperature data may be a plurality of continuous constant temperature data, a predetermined range (T ｍｉｎ , T ｍａｘ 2. The method for controlling a blast furnace to stabilize peripheral gas flow according to claim 1, further comprising temperature data outside the valve, and temperature data for two hours before, during, and after the backflow stop valve is opened.

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