Blast furnace edge airflow control method and device, storage medium and equipment

Abstract

The embodiment of the invention provides a blast furnace edge airflow control method and device, a storage medium and equipment. The method comprises the steps that a historical database containing gas utilization rate and multiple pieces of blast furnace edge airflow process parameter data is established; determining target blast furnace edge airflow process parameters having a certain influence on the gas utilization rate from the historical database by using a grouping analysis method, and solving a parameter reasonable range of each target blast furnace edge airflow process parameter; acquiring parameter data of a plurality of current blast furnace edge airflow process parameters of the blast furnace corresponding to the plurality of target blast furnace edge airflow process parameters, comparing each parameter data with a parameter reasonable range of the corresponding target blast furnace edge airflow process parameters, and judging the strength of the blast furnace edge airflow based on a comparison result; and taking corresponding adjustment measures according to the judgment result, and controlling the blast furnace edge airflow in a reasonable range. The embodiment of the invention not only can reduce the heat loss and fuel consumption of the blast furnace, but also can maintain the stability of the slag crust.

Description

Technical Field

[0001] The present application relates to the technical field of blast furnace smelting, and particularly relates to a method, a device, a storage medium and equipment for controlling the edge gas flow of a blast furnace. Background Art

[0002] Most of the distribution of the three coal gas flows in modern large blast furnaces adopts the mainstream idea of "mainly centered gas flow with appropriate edge gas flow". Under certain raw material and fuel conditions, operators use the matching of different charging systems and air supply systems to coordinately control the edge gas flow and the center gas flow to achieve the best state of smooth furnace conditions and gas utilization. Research shows that the stability of the edge coal gas flow is the key to ensuring the stability of the slag skin. If the edge gas flow temperature is too high, it is easy to cause an increase in the heat load of the blast furnace, an increase in the heat loss of the blast furnace, and an increase in fuel consumption; if the edge gas flow temperature is too low, the burden cannot be fully dried and preheated after entering the blast furnace, resulting in a lower root of the softening and melting zone, affecting the stability of the slag skin. Therefore, how to control the edge gas flow within a reasonable range, so as to reduce the heat loss and fuel consumption of the blast furnace on the one hand, and maintain the stability of the slag skin on the other hand, has always been the most concerned issue for researchers. Summary of the Invention

[0003] The embodiments of the present application provide a method, a device, a storage medium and equipment for controlling the edge gas flow of a blast furnace, which can reduce the heat loss and fuel consumption of the blast furnace on the one hand, and maintain the stability of the slag skin on the other hand, and control the edge gas flow of the blast furnace within a reasonable range.

[0004] The embodiments of the present application provide a method for controlling the edge gas flow of a blast furnace, and the method includes:

[0005] Establish a historical database containing gas utilization rate and parameter data of multiple blast furnace edge gas flow process parameters;

[0006] Use the grouping analysis method to determine the target blast furnace edge gas flow process parameters that have a certain influence on the gas utilization rate from the historical database, and obtain the reasonable range of parameters for each target blast furnace edge gas flow process parameter;

[0007] Obtain the parameter data of multiple current blast furnace edge gas flow process parameters corresponding to the blast furnace and the multiple target blast furnace edge gas flow process parameters, respectively compare each parameter data with the reasonable range of parameters of the corresponding target blast furnace edge gas flow process parameter, and judge the strength of the blast furnace edge gas flow based on the comparison result;

[0008] Take corresponding adjustment measures according to the judgment result, control the parameter data of the multiple current blast furnace edge gas flow parameters within the corresponding reasonable range of parameters, so as to control the current blast furnace edge gas flow within a reasonable range.

[0009] In the blast furnace edge gas flow control method described in the embodiments of the present application, the target blast furnace edge gas flow process parameters include the top edge gas flow index W, the top center gas flow index Z, the cooling stave heat load, the temperature of each layer of cooling stave, and the uniformity of the temperature of each layer of cooling stave.

[0010] In the blast furnace edge gas flow control method described in the embodiments of the present application, the establishment of a historical database containing the gas utilization rate and multiple blast furnace edge gas flow process parameter data includes:

[0011] Collect the gas utilization rate and blast furnace edge gas flow process parameters of the blast furnace daily, and establish data bars. Store the data bars in a repository to generate the historical database, where each data bar corresponds to one day's data, and whether it is a day of furnace shutdown is noted on each data bar, and the number of data bars is greater than 365.

[0012] In the blast furnace edge gas flow control method described in the embodiments of the present application, the use of the grouping analysis method to determine from the historical database the target blast furnace edge gas flow process parameters that have a certain influence on the gas utilization rate and calculate the reasonable range of parameters for each target blast furnace edge gas flow process parameter includes:

[0013] Obtain the data bars that meet the conditions from the historical database for grouping to generate multiple target data bar groups;

[0014] Calculate the average value of the gas utilization rate and the average value of each blast furnace edge gas flow process parameter in each target data bar group to generate a correspondence table between the average value of the gas utilization rate and the average value of the blast furnace edge gas flow process parameter;

[0015] Use the linear regression analysis method to analyze the correspondence table to determine the target blast furnace edge gas flow process parameters that have a certain influence on the gas utilization rate among the multiple blast furnace edge gas flow process parameters and calculate the reasonable range of parameters for each target blast furnace edge gas flow process parameter.

[0016] In the blast furnace edge gas flow control method described in the embodiments of the present application, the use of the linear regression analysis method to analyze the correspondence table to determine the target blast furnace edge gas flow process parameters that have a certain influence on the gas utilization rate among the multiple blast furnace edge gas flow process parameters and calculate the reasonable range of parameters for each target blast furnace edge gas flow process parameter includes:

[0017] Take the average value of each blast furnace edge gas flow process parameter as the abscissa and the average value of the gas utilization rate as the ordinate to make a scatter plot, and make a trend line for the abscissa and ordinate, and calculate the coefficient of determination R 2 value;

[0018] Compare the value of the said R 2 with a preset value, and based on the comparison result, determine the target blast furnace peripheral gas flow process parameters that have a certain impact on the said gas utilization rate among multiple blast furnace peripheral gas flow process parameters;

[0019] Obtain the corresponding formula for each said trend line, and based on the formula and the normal value range of the gas utilization rate, obtain the reasonable parameter range for each said target blast furnace peripheral gas flow process parameter, where the normal value range of the gas utilization rate is known.

[0020] In the blast furnace peripheral gas flow control method described in the embodiments of the present application, the obtaining data strips that meet the conditions from the historical database and grouping them to generate multiple target data strip groups includes:

[0021] Judge whether there are data strips with abnormal gas utilization rate values among the said data strips in the historical database. If so, remove this data strip, and at the same time remove the data strips on the day of furnace shutdown and the data strips with null gas utilization rate values to generate the first group of data strips;

[0022] Obtain the distribution range of the gas utilization rate from the first group of data strips, and select a reasonable group interval to group the first group of data strips to obtain multiple first data strip groups;

[0023] Judge whether the number of data strips in each said first data strip group is greater than the preset number of data strips. If not, remove this first data strip group to generate multiple said target data strip groups.

[0024] In the blast furnace peripheral gas flow control method described in the embodiments of the present application, the taking corresponding adjustment measures according to the judgment result to control the said parameter data of multiple said current blast furnace peripheral gas flow parameters within the corresponding reasonable parameter range includes:

[0025] If the judgment result is that the blast furnace peripheral gas flow is weak, then reduce the ore-to-coke ratio in the blast furnace peripheral area, and control the said parameter data of multiple said current blast furnace peripheral gas flow parameters within the corresponding reasonable parameter range to enhance the blast furnace peripheral gas flow;

[0026] If the judgment result is that the blast furnace peripheral gas flow is too strong, then increase the ore-to-coke ratio in the blast furnace peripheral area, and control the said parameter data of multiple said current blast furnace peripheral gas flow parameters within the corresponding reasonable parameter range to weaken the blast furnace peripheral gas flow.

[0027] The embodiments of the present application also provide a blast furnace peripheral gas flow control device, which includes a processor and a memory. A computer program is stored in the memory, and the processor is used to execute the blast furnace peripheral gas flow control method described in any of the above embodiments by calling the computer program stored in the memory.

[0028] The embodiment of the present application also provides a blast furnace edge gas flow control device, and the blast furnace edge gas flow control device includes the blast furnace edge gas flow control device described in the above embodiment.

[0029] The embodiment of the present application also provides a computer-readable storage medium, in which a computer program is stored. When the computer program runs on a computer, the computer is enabled to execute the blast furnace edge gas flow control method described in any one of the above embodiments.

[0030] For the blast furnace edge gas flow control method provided by the embodiment of the present application, first, when judging the strength of the blast furnace edge gas flow, the strength of the gas flow in the high heat load area of the blast furnace is considered. Therefore, the target blast furnace edge gas flow process parameters that have a certain influence on the gas utilization rate are determined from the historical database through the grouping analysis method, and then the strength of the blast furnace edge gas flow is judged based on the determined target blast furnace edge gas flow process parameters, so that the judgment is more accurate; secondly, the reasonable range of each target blast furnace edge gas flow process parameter is obtained through the grouping analysis method, which can make the obtained reasonable range of parameters more accurate; finally, after judging the strength of the blast furnace edge gas flow, corresponding adjustment measures are taken according to the judgment result, and the parameter data of all current blast furnace edge gas flow parameters are controlled within the corresponding reasonable range of parameters, so as to control the blast furnace edge gas flow within a reasonable range, which can not only reduce the heat loss and fuel consumption of the blast furnace, but also maintain the stability of the slag skin. Description of the Drawings

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative efforts.

[0032] Figure 1 It is a schematic flow chart of the blast furnace edge gas flow control method provided by the embodiment of the present application.

[0033] Figure 2 It is a schematic diagram of the relationship between the gas utilization rate and the heat load provided by the embodiment of the present application.

[0034] Figure 3 It is a schematic diagram of the relationship between the gas utilization rate and the top edge gas flow index W provided by the embodiment of the present application.

[0035] Figure 4 It is a schematic diagram of the relationship between the gas utilization rate and the top center gas flow index Z provided by the embodiment of the present application.

[0036] Figure 5Schematic diagram of the relationship between the gas utilization rate provided in the embodiments of the present application and the temperature of the 21m copper stave

[0037] Figure 6 Schematic diagram of the relationship between the gas utilization rate provided in the embodiments of the present application and the temperature of the 23m copper stave

[0038] Figure 7 Schematic diagram of the relationship between the gas utilization rate provided in the embodiments of the present application and the temperature of the 25m copper stave

[0039] Figure 8 Schematic diagram of the relationship between the gas utilization rate provided in the embodiments of the present application and the temperature of the 27m cast iron stave

[0040] Figure 9 Schematic diagram of the relationship between the gas utilization rate provided in the embodiments of the present application and the temperature uniformity of the 21m copper stave

[0041] Figure 10 Schematic diagram of the structure of the blast furnace peripheral gas flow control device provided in the embodiments of the present application Detailed implementation manners

[0042] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present application.

[0043] Please refer to Figure 1 , Figure 1 Schematic flow chart of the blast furnace peripheral gas flow control method provided in the embodiments of the present application. The blast furnace peripheral gas flow control method is applied to a blast furnace peripheral gas flow control device, and the method may include the following steps:

[0044] Step 101, establish a historical database including the gas utilization rate and multiple blast furnace peripheral gas flow process parameter data.

[0045] Among them, the gas utilization rate of the blast furnace refers to the proportion of the blast furnace gas that is effectively utilized, usually expressed as a percentage.

[0046] In some embodiments, the establishment of the historical database including the gas utilization rate and multiple blast furnace peripheral gas flow process parameter data includes:

[0047] Collect the daily blast furnace gas utilization rate and the process parameters of the blast furnace edge gas flow, and establish data bars. Store the data bars in a repository to generate the historical database. Each data bar corresponds to one day's data, and whether it is a blow-down day is noted on each data bar. The number of data bars is greater than 365.

[0048] Among them, the number of data bars being greater than 365 means that the time span of the data is greater than one year.

[0049] Step 102: Use the grouping analysis method to determine from the historical database the target blast furnace edge gas flow process parameters that have a certain impact on the gas utilization rate, and obtain the reasonable range of parameters for each target blast furnace edge gas flow process parameter.

[0050] Among them, not all the blast furnace edge gas flow process parameters in the historical database necessarily have a relatively obvious impact on the gas utilization rate. Therefore, it is necessary to first determine from the historical database the blast furnace edge gas flow process parameters that have a relatively obvious impact on the gas utilization rate (i.e., the target blast furnace edge gas flow process parameters mentioned in the embodiments of the present application).

[0051] In some embodiments, the target blast furnace edge gas flow process parameters include the top edge gas flow index W, the top center gas flow index Z, the cooling stave heat load, the temperature of each cooling stave layer, and the uniformity of the temperature of each cooling stave layer.

[0052] Among them, the blast furnace edge gas flow process parameters determined from the historical database by the grouping analysis method to have a relatively obvious impact on the gas utilization rate are the top edge gas flow index W, the top center gas flow index Z, the cooling stave heat load, the temperature of each cooling stave layer, and the uniformity of the temperature of each cooling stave layer.

[0053] Among them, regarding the specific cooling stave layer, as shown in Table 1 below:

[0054] Table 1 Cooling stave positions for collecting cooling stave temperatures

[0055]

[0056] Among them, in the 5th section at 16.618 m, the 5th section refers to the 5th section of the hearth, and 16.618 m means that there is a thermocouple in the area at a height of 16.618 m. Similarly, the meanings of other items can be deduced by analogy. Among them, the 6th section refers to the bosh, and the 7th to 15th sections are all the furnace shaft. The 5th section at 16.618 m means to obtain the temperature of the cooling stave at this position, and the same is true for others.

[0057] After obtaining the top-edge gas flow index W, the top-center gas flow index Z, the cooling stave heat load, the average temperature of each layer of cooling staves, and the uniformity of the temperature of each layer of cooling staves in the embodiments of the present application, the strength of the blast furnace edge gas flow will be judged by combining these parameters subsequently. Since these parameters include the high heat load area of the blast furnace, rather than only including the top area, compared with the prior art that only uses the strength of the gas flow distribution in the top area of the blast furnace as the strength of the blast furnace edge gas flow and ignores the strength of the gas flow in the high heat load area, the strength of the blast furnace edge gas flow judged by the present application is more accurate.

[0058] In some embodiments, the method of using the grouping analysis method to determine the target blast furnace edge gas flow process parameters that have a certain influence on the gas utilization rate from the historical database, and obtaining the reasonable range of parameters for each of the target blast furnace edge gas flow process parameters includes:

[0059] Obtain data entries that meet the conditions from the historical database for grouping to generate multiple target data entry groups;

[0060] Calculate the average value of the gas utilization rate in each of the target data entry groups and the average value of each blast furnace edge gas flow process parameter to generate a corresponding relationship table between the average value of the gas utilization rate and the average value of the blast furnace edge gas flow process parameter;

[0061] Use the linear regression analysis method to analyze the corresponding relationship table, determine the target blast furnace edge gas flow process parameters that have a certain influence on the gas utilization rate among the multiple blast furnace edge gas flow process parameters, and obtain the reasonable range of parameters for each of the target blast furnace edge gas flow process parameters.

[0062] In some embodiments, the method of using the linear regression analysis method to analyze the corresponding relationship table, determine the target blast furnace edge gas flow process parameters that have a certain influence on the gas utilization rate among the multiple blast furnace edge gas flow process parameters, and obtain the reasonable range of parameters for each of the target blast furnace edge gas flow process parameters includes:

[0063] Take the average value of each blast furnace edge gas flow process parameter as the abscissa and the average value of the gas utilization rate as the ordinate to make a scatter plot, and make a trend line for the abscissa and the ordinate, and calculate the coefficient of determination R 2 value;

[0064] Compare the value of R 2 with a preset value, and based on the comparison result, determine the target blast furnace edge gas flow process parameters that have a certain influence on the gas utilization rate among the multiple blast furnace edge gas flow process parameters;

[0065] Find the corresponding formula for each of the trend lines, and based on the formula and the normal value range of the gas utilization rate, find the reasonable range of parameters for each of the target blast furnace peripheral gas flow process parameters, where the normal value range of the gas utilization rate is known.

[0066] Among them, the normal value range of the gas utilization rate is 41%-50%.

[0067] In some embodiments, the determining, based on the comparison result, of the target blast furnace peripheral gas flow process parameters among a plurality of blast furnace peripheral gas flow process parameters that have a certain influence on the gas utilization rate includes:

[0068] If the comparison result is R 2 greater than or equal to the preset value, then determine that this blast furnace peripheral gas flow process parameter is the target blast furnace peripheral gas flow process parameter;

[0069] If the comparison result is R 2 less than the preset value, then determine that this blast furnace peripheral gas flow process parameter is not the target blast furnace peripheral gas flow process parameter.

[0070] That is, when R 2 is greater than or equal to the preset value, it indicates that there is an obvious linear relationship between this blast furnace peripheral gas flow process parameter and the gas utilization rate, indicating that this blast furnace peripheral gas flow process parameter has an obvious influence on the gas utilization rate; when R 2 is less than the preset value, it indicates that there is no obvious linear relationship between this peripheral gas flow process parameter and the gas utilization rate, indicating that this peripheral gas flow process parameter has almost no influence on the gas utilization rate and is not considered.

[0071] In some embodiments, the preset value is 0.55.

[0072] In some embodiments, the obtaining of the data strips that meet the conditions from the historical database for grouping to generate a plurality of target data strip groups includes:

[0073] Judge whether there are data strips with abnormal gas utilization rate values among the data strips in the historical database. If so, remove this data strip, and at the same time remove the data strips on the day of blast furnace shutdown and the data strips with null gas utilization rate values to generate a first group of data strips;

[0074] Obtain the distribution range of the gas utilization rate from the first group of data strips, and select a reasonable group interval to group the first group of data strips to obtain a plurality of first data strip groups;

[0075] Judge whether the number of data strips in each of the first data strip groups is greater than the preset number of data strips. If not, remove this first data strip group to generate a plurality of the target data strip groups.

[0076] Among them, in order to ensure the accuracy of the analysis results, data bars during blast furnace shutdown, data bars with null values for gas utilization rate, and data bars with abnormal gas interest rate values are excluded.

[0077] Among them, in order to ensure that there are sufficient unit data (more than 10) in each target data bar group and the total number of effective target data bar groups is not less than 8 groups, the distribution range of the gas utilization rate data is analyzed, a reasonable group interval is selected, and the first data bar group with insufficient unit data is removed.

[0078] Among them, the normal range of the gas utilization rate is 41% - 50%, and exceeding this range is considered abnormal.

[0079] Step 103, obtain parameter data of multiple current blast furnace peripheral gas flow process parameters corresponding to the blast furnace and multiple said target blast furnace peripheral gas flow process parameters, respectively compare each said parameter data with the reasonable parameter range of the corresponding target blast furnace peripheral gas flow process parameter, and judge the strength of the blast furnace peripheral gas flow based on the comparison result.

[0080] For example, if the comparison result shows that the cooling stave heat load is on the high side, the top peripheral gas flow index W is on the high side, the top central gas flow index Z is on the low side, the cooling stave temperatures in the hearth and the lower part of the furnace body are on the high side, and the uniformity of the 21m cooling stave temperature is on the high side, it is considered that the overall peripheral gas flow of the blast furnace is too strong; if the comparison result shows that the cooling stave heat load is on the low side, the top peripheral gas flow index W is on the low side, the top central gas flow index Z is on the high side, the cooling stave temperatures in the hearth and the lower part of the furnace body are on the low side, and the uniformity of the 21m cooling stave temperature is on the low side, it is considered that the overall peripheral gas flow of the blast furnace is on the low side; if the comparison result shows that the values of all the target blast furnace peripheral gas flow process parameters are within the corresponding reasonable parameter ranges, it is considered that the overall peripheral gas flow of the blast furnace is good.

[0081] Step 104, take corresponding adjustment measures according to the judgment result, and control the parameter data of the multiple said current blast furnace peripheral gas flow parameters within the corresponding reasonable parameter ranges, so as to control the current blast furnace peripheral gas flow within a reasonable range.

[0082] In some embodiments, the taking corresponding adjustment measures according to the judgment result and controlling the parameter data of the multiple said current blast furnace peripheral gas flow parameters within the corresponding reasonable parameter ranges includes:

[0083] If the judgment result is that the blast furnace peripheral gas flow is weak, then reduce the ore - coke ratio in the blast furnace peripheral area, and control the parameter data of the multiple said current blast furnace peripheral gas flow parameters within the corresponding reasonable parameter ranges to enhance the blast furnace peripheral gas flow;

[0084] If the judgment result is that the gas flow at the blast furnace edge is too strong, increase the ore-coke ratio in the blast furnace edge area, and control the parameter data of the current blast furnace edge gas flow parameters within the corresponding reasonable parameter ranges to weaken the gas flow at the blast furnace edge.

[0085] Among them, if the judgment result is that the gas flow at the blast furnace edge is neither too weak nor too strong, that is, the values of all the target blast furnace edge gas flow process parameters are within the corresponding reasonable parameter ranges, then there is no need to adjust the ore-coke ratio in the blast furnace edge area.

[0086] In some embodiments, when the gas flow at the furnace edge is weak, 1 ring of coke can be added or 1 ring of ore can be subtracted in the blast furnace edge area, or 1 ring of coke can be added while 1 ring of ore is subtracted.

[0087] In some embodiments, when the gas flow at the furnace edge is too strong, 1 ring of ore can be added or 1 ring of coke can be subtracted in the blast furnace edge area, or 1 ring of ore can be added while 1 ring of coke is subtracted.

[0088] Embodiment 1:

[0089] ① There are 442 data entries in the historical database of Shagang No. 1 blast furnace from August 23, 2022 to November 6, 2023.

[0090] ② To ensure the accuracy of the analysis results, the data entries during the blast furnace shutdown period, the data entries with null values of the gas utilization rate, and the data entries with abnormal gas utilization rates were excluded, and the remaining useful data entries were 403.

[0091] ③ By analyzing the gas utilization rates in these 403 data entries, it is found that the data distribution of the gas utilization rate of Shagang No. 1 blast furnace is between 41.7% and 50.2%. To ensure that there are enough unit data in each group and the total number of effective groups is not less than 8 groups, the group interval for grouping the gas utilization rate in this application embodiment is 0.5%, and the grouping results are shown in Table 2. It can be seen from Table 2 that for the 1st to 4th groups and the 15th to 17th groups, the amount of data within the group is too small and is not considered in the analysis, so they are removed; the remaining number of effective groups is 10, and the total number of data entries is 383.

[0092] Table 2 Grouping results of gas utilization rate

[0093]

[0094] ④ Calculate the within-group average of the gas utilization rate and the within-group average of each blast furnace edge gas flow process parameter for the 5th to 14th groups in Table 1. The following Table 3 gives the calculation method of the within-group average of 3 blast furnace edge gas flow process parameters (cooling stave heat load, furnace top edge gas flow index W, furnace top center gas flow index Z) as an example.

[0095] Table 3 Corresponding Relationship Table between Average Gas Utilization Rate and Average Process Parameters of Blast Furnace Edge Gas Flow

[0096]

[0097] ⑤ Use the linear regression analysis method to analyze the corresponding relationship table, determine the target blast furnace edge gas flow process parameters that have a certain impact on gas utilization rate among multiple blast furnace edge gas flow process parameters, and obtain the reasonable range of parameters for each target blast furnace edge gas flow process parameter.

[0098] The specific method is to use any edge gas flow process parameter as the abscissa and the gas utilization rate as the ordinate to make a scatter plot, and make the trend lines of the abscissa and ordinate, and at the same time display the formula and R2 of the trend line. When R2≥0.55, it indicates that there is an obvious linear relationship between the blast furnace edge gas flow process parameter and the gas utilization rate, indicating that the edge gas flow process parameter has an obvious impact on the gas utilization rate; when R2<0.55, it indicates that there is no obvious linear relationship between the blast furnace edge gas flow process parameter and the gas utilization rate, indicating that the edge gas flow process parameter has little impact on the gas utilization rate and is not considered. Figures 2 to 9 are all the edge gas flow process parameters that have an obvious linear relationship with the gas utilization rate. From Figures 2 - 9 It can be seen that overall, compared with the low gas utilization rate, the overall heat load of the furnace wall is lower under the high gas utilization rate, the furnace top edge gas flow index W is higher, the furnace top center gas flow index Z is lower, the copper cooling wall temperatures at elevations of 21m, 23m, and 25m are lower, the cast iron cooling wall temperature at elevation of 27m is lower, and the temperature uniformity of the cooling wall at elevation of 21m is better.

[0099] ⑥ Obtain the reasonable range of parameters for each target blast furnace edge gas flow process parameter.

[0100] (1) From the above step ⑤, it is concluded that there is a linear relationship between the above blast furnace edge gas flow process parameters and the blast furnace gas utilization rate, and the following rules are satisfied:

[0101] Relationship formula between gas utilization rate and heat load: y = -0.2439x1 + 63.827

[0102] Relationship formula between gas utilization rate and furnace top edge gas flow index W: y = 18.823x2 + 30.416

[0103] Relationship formula between gas utilization rate and furnace top center gas flow index Z: y = -2.7335x3 + 85.302

[0104] Relationship formula between gas utilization rate and copper cooling wall temperature at 21m: y = -1.0101x4 + 87.057

[0105] Relationship between gas utilization rate and temperature of 23m copper stave: y = -1.0149x5 + 88.933

[0106] Relationship between gas utilization rate and temperature of 25m copper stave: y = -1.0551x6 + 89.937

[0107] Relationship between gas utilization rate and temperature of 27m cast iron stave: y = -0.5244x7 + 78.913

[0108] Relationship between gas utilization rate and temperature uniformity of 21m copper stave: y = -4.6959x8 + 60.366. When the gas utilization rate is between 47% and 50%, the reasonable ranges of the above-mentioned edge gas flow process parameters can be obtained according to the above formulas as shown in the following table:

[0109]

[0110] It can be obtained from the above table that the reasonable range of the heat load of the blast furnace stave is approximately 56 - 69 GJ, the reasonable range of the value of the top edge gas flow index W is 0.88 - 1.04, the reasonable range of the value of the top center gas flow index Z is approximately 12 - 14, the reasonable range of the average temperature of the 21m copper stave is approximately 37°C - 41°C, the reasonable range of the average temperature of the 23m copper stave is approximately 38°C - 42°C, the reasonable range of the average temperature of the 25m copper-iron stave is approximately 37°C - 41°C, the reasonable range of the average temperature of the 27m cast iron stave is approximately 55°C - 61°C, and the reasonable range of the temperature uniformity of the 21m copper stave is 2.2 - 2.8.

[0111] (2) Read the blast furnace edge gas flow process parameters (current blast furnace edge gas flow process parameters) in real time

[0112] Specifically, collect the current edge gas flow process parameters of the blast furnace. In the embodiment of the present application, the heat load of the blast furnace stave collected is 95 GJ, the value of the top edge gas flow index W is 1.2, the value of the top center gas flow index Z is 10, the temperature of the 21m copper stave is 48°C, the temperature of the 23m copper stave is 53°C, the temperature of the 25m copper stave is 56°C, the temperature of the 27m cast iron stave is 100°C, and the temperature uniformity of the 21m copper stave is 3.0.

[0113] (3) Compare the collected current blast furnace edge gas flow process parameters with their corresponding reasonable ranges, determine whether the current blast furnace edge gas flow process parameters are within the reasonable ranges, and judge the strength of the blast furnace edge gas flow based on the determination result.

[0114] Specifically, comparing the result of the above step (2) with the reasonable range of the target blast furnace peripheral gas flow process parameters obtained in step (1), it is found that the cooling wall heat load of the blast furnace is on the high side, the peripheral gas flow index W at the furnace top is on the high side, the central gas flow index Z at the furnace top is on the low side, the temperatures of the cooling walls in the furnace waist and the lower part of the furnace body (including the cooling walls at 21m, 23m, 25m, and 27m) are on the high side, and the uniformity of the temperature of the 21m cooling wall is on the high side. Thus, it is judged that the overall peripheral gas flow of the blast furnace is too strong.

[0115] (4) According to the judgment result, corresponding adjustment measures are taken to control the parameter data of the current blast furnace peripheral gas flow parameters within the corresponding reasonable parameter range, so as to control the current blast furnace peripheral gas flow within a reasonable range.

[0116] As can be seen from the above step (3), the overall peripheral gas flow of the blast furnace is too strong. Therefore, the ore-coke ratio in the peripheral area of the blast furnace is increased, and one more ring of ore is added in the peripheral area of the blast furnace, so as to control the parameter data of the current blast furnace peripheral gas flow parameters within the reasonable parameter range, and further weaken the peripheral gas flow of the blast furnace.

[0117] Any combination of the above all optional technical solutions can form an optional embodiment of the present application, which will not be elaborated herein one by one.

[0118] In specific implementation, the present application is not limited by the execution order of the described steps. Without conflict, some steps can also be carried out in other orders or simultaneously.

[0119] As can be seen from the above, for the blast furnace peripheral gas flow control method provided by the embodiment of the present application, firstly, when judging the strength of the blast furnace peripheral gas flow, the strength of the gas flow in the high heat load area of the blast furnace is considered. Therefore, the target blast furnace peripheral gas flow process parameters that have a certain influence on the gas utilization rate are determined from the historical database through the grouping analysis method, and then the strength of the blast furnace peripheral gas flow is judged based on the determined target blast furnace peripheral gas flow process parameters, so that the judgment is more accurate; secondly, the reasonable parameter range of each target blast furnace peripheral gas flow process parameter is obtained through the grouping analysis method, which can make the obtained reasonable parameter range more accurate; finally, after judging the strength of the blast furnace peripheral gas flow, corresponding adjustment measures are taken according to the judgment result to control the parameter data of all the current blast furnace peripheral gas flow parameters within the corresponding reasonable parameter range, so as to control the blast furnace peripheral gas flow within a reasonable range, which can not only reduce the heat loss and fuel consumption of the blast furnace, but also maintain the stability of the slag skin.

[0120] The embodiment of the present application also provides a blast furnace peripheral gas flow control device, and the blast furnace peripheral gas flow control device can be integrated in the blast furnace peripheral gas flow control equipment.

[0121] Please refer to Figure 10 , Figure 10This is a schematic structural diagram of the blast furnace peripheral gas flow control device provided by the embodiments of the present application. The blast furnace peripheral gas flow control device 30 includes a memory 120, one or more processors 180, and one or more application programs, where the one or more application programs are stored in the memory 120 and configured to be executed by the processor 180; the memory 120 can be used to store application programs and data. The application programs stored in the memory 120 contain executable codes. The application programs can form various functional modules. The processor 180 executes various functional applications and data processing by running the application programs stored in the memory 120. In addition, the memory 120 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices. Correspondingly, the memory 120 can also include a memory controller to provide the processor 180 with access to the memory 120.

[0122] The processor 180 is the control center of the device, connecting various parts of the entire device through various interfaces and lines. By running or executing the application programs stored in the memory 120 and calling the data stored in the memory 120, it executes various functions of the device and processes data, thereby monitoring the device as a whole.

[0123] Specifically, in this embodiment, a computer program is stored in the memory 120, and the processor 180 executes the blast furnace peripheral gas flow control method described in any of the above embodiments by calling the computer program stored in the memory 120.

[0124] The embodiments of the present application further provide a blast furnace peripheral gas flow control device, and the blast furnace peripheral gas flow control device includes the blast furnace peripheral gas flow control device described in the above embodiments.

[0125] The embodiments of the present application further provide a computer-readable storage medium, and a computer program is stored in the computer-readable storage medium. When the computer program runs on a computer, the computer executes the blast furnace peripheral gas flow control method described in any of the above embodiments.

[0126] It should be noted that for the blast furnace edge gas flow control method described in this application, those of ordinary skill in the art can understand that all or part of the process of implementing the blast furnace edge gas flow control method described in the embodiments of this application can be completed by controlling relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, such as stored in the memory of the blast furnace edge gas flow control device, and executed by at least one processor in the blast furnace edge gas flow control device. During the execution process, it can include the processes of the embodiments of the blast furnace edge gas flow control method. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), etc.

[0127] The blast furnace edge gas flow control method, device, storage medium, and equipment provided in the embodiments of this application have been introduced in detail above. Specific examples are used in this article to elaborate on the principles and implementation methods of this application. The descriptions of the above embodiments are only used to help understand the method and its core idea of this application; at the same time, for those skilled in the art, according to the idea of this application, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be construed as a limitation to this application.

Claims

1. A method for controlling the edge gas flow of a blast furnace, characterized in that, The method includes: Establishing a historical database containing gas utilization rate and data of multiple blast furnace peripheral gas flow process parameters; Using the grouping analysis method to determine from the historical database the target blast furnace peripheral gas flow process parameters that have a certain impact on the gas utilization rate, and obtaining the reasonable range of parameters for each of the target blast furnace peripheral gas flow process parameters; Obtaining the parameter data of multiple current blast furnace peripheral gas flow process parameters corresponding to the blast furnace and the multiple target blast furnace peripheral gas flow process parameters, respectively comparing each of the parameter data with the reasonable range of parameters of the corresponding target blast furnace peripheral gas flow process parameter, and judging the strength of the blast furnace peripheral gas flow based on the comparison result; Taking corresponding adjustment measures according to the judgment result, and controlling the parameter data of the multiple current blast furnace peripheral gas flow parameters within the corresponding reasonable range of parameters, so as to control the current blast furnace peripheral gas flow within a reasonable range.

2. The blast furnace peripheral gas flow control method according to claim 1, characterized in that, The target blast furnace peripheral gas flow process parameters include the top peripheral gas flow index W, the top central gas flow index Z, the cooling stave heat load, the temperature of each cooling stave, and the uniformity of the temperature of each cooling stave.

3. The blast furnace peripheral gas flow control method according to claim 1, characterized in that, The establishment of the historical database containing the gas utilization rate and data of multiple blast furnace peripheral gas flow process parameters includes: Collecting the daily gas utilization rate of the blast furnace and the blast furnace peripheral gas flow process parameters, and establishing data bars, and storing the data bars in a storage library to generate the historical database, wherein each data bar corresponds to one day's data, and whether it is a blown-off day is noted on each data bar, and the number of data bars is greater than 365.

4. The blast furnace peripheral gas flow control method according to claim 3, wherein The use of the grouping analysis method to determine from the historical database the target blast furnace peripheral gas flow process parameters that have a certain impact on the gas utilization rate, and obtaining the reasonable range of parameters for each of the target blast furnace peripheral gas flow process parameters includes: Obtaining the data bars that meet the conditions from the historical database for grouping to generate multiple target data bar groups; Calculating the average value of the gas utilization rate in each of the target data bar groups and the average value of each blast furnace peripheral gas flow process parameter to generate a corresponding relationship table between the average value of the gas utilization rate and the average value of the blast furnace peripheral gas flow process parameter; Using the linear regression analysis method to analyze the corresponding relationship table, determining the target blast furnace peripheral gas flow process parameters among the multiple blast furnace peripheral gas flow process parameters that have a certain impact on the gas utilization rate, and obtaining the reasonable range of parameters for each of the target blast furnace peripheral gas flow process parameters.

5. The blast furnace peripheral gas flow control method according to claim 4, characterized in that, The use of the linear regression analysis method to analyze the corresponding relationship table, determining the target blast furnace peripheral gas flow process parameters among the multiple blast furnace peripheral gas flow process parameters that have a certain impact on the gas utilization rate, and obtaining the reasonable range of parameters for each of the target blast furnace peripheral gas flow process parameters includes: Take the average value of each of the blast furnace peripheral gas flow process parameters as the abscissa, and the average value of the gas utilization rate as the ordinate to create a scatter plot, and also create trend lines for the abscissa and ordinate, and calculate the coefficient of determination R 2 value; Compare the value of the said R 2 with a preset value, and based on the comparison result, determine the target blast furnace peripheral gas flow process parameters among a plurality of blast furnace peripheral gas flow process parameters that have a certain influence on the said gas utilization rate; Obtaining the corresponding formula for each trend line, and obtaining the reasonable range of parameters for each target blast furnace peripheral gas flow process parameter based on the formula and the normal value range of the gas utilization rate, wherein the normal value range of the gas utilization rate is known.

6. The blast furnace peripheral gas flow control method according to claim 4, characterized in that Obtaining data entries that meet the conditions from the historical database and grouping them to generate multiple target data entry groups, including: Judging whether there are data entries with abnormal gas utilization rate values among the data entries in the historical database. If so, removing this data entry, and at the same time removing the data entries on the day of blast furnace shutdown and the data entries with null values for gas utilization rate, to generate a first group of data entries; Obtaining the distribution range of gas utilization rate from the first group of data entries, and selecting a reasonable group interval to group the first group of data entries to obtain multiple first data entry groups; Judging whether the number of data entries in each of the first data entry groups is greater than the preset number of data entries. If not, removing this first data entry group to generate multiple target data entry groups.

7. The blast furnace peripheral gas flow control method according to claim 1, characterized in that Taking corresponding adjustment measures according to the judgment result to control the parameter data of the multiple current blast furnace edge gas flow parameters within the corresponding reasonable parameter ranges, including: If the judgment result is that the blast furnace edge gas flow is weak, reducing the ore-coke ratio in the blast furnace edge area to control the parameter data of the multiple current blast furnace edge gas flow parameters within the corresponding reasonable parameter ranges to enhance the blast furnace edge gas flow; If the judgment result is that the blast furnace edge gas flow is too strong, increasing the ore-coke ratio in the blast furnace edge area to control the parameter data of the multiple current blast furnace edge gas flow parameters within the corresponding reasonable parameter ranges to weaken the blast furnace edge gas flow.

8. A blast furnace edge gas flow control device, characterized in that, The device includes a processor and a memory. A computer program is stored in the memory. The processor is used to execute the blast furnace edge gas flow control method according to any one of claims 1 to 7 by calling the computer program stored in the memory.

9. A blast furnace edge gas flow control device, characterized in that, The blast furnace edge gas flow control equipment includes the blast furnace edge gas flow control device according to claim 8.

10. A computer-readable storage medium, characterized in that, A computer program is stored in the computer-readable storage medium. When the computer program runs on a computer, the computer is made to execute the blast furnace edge gas flow control method according to any one of claims 1 to 7.

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