Method for diagnosing and regulating activity of hearth at last stage of furnace service of blast furnace

Abstract

The invention discloses a blast furnace end-of-service hearth activity diagnosis regulation and control method, which comprises the following steps: collecting relevant parameters of iron slag in hearth work, including molten iron temperature, chemical heat, molten iron content, slag alkalinity, slag tapping quantity, FeO content in slag, taphole depth, thermal load data in set time and sinter alkalinity, and carrying out quantitative characterization; and constructing a hearth activity diagnosis rule, and carrying out hearth activity diagnosis and regulation. According to the method, abnormal data occurring in the working condition of the hearth can be deeply excavated and monitored, the internal rule is excavated, additional equipment investment does not need to be added, and automatic diagnosis and automatic suggestion can be achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of blast furnace intelligent diagnosis, and in particular to a method for diagnosing and controlling hearth activity of a blast furnace at the end of its service life. Background Art

[0002] Hearth activity is like the "heart" of blast furnace production, maintaining the healthy development of the entire blast furnace production. Once there is a problem with the hearth activity, it will destroy the stability and smooth operation of the blast furnace, and the losses will be very huge. At present, the quantitative monitoring of hearth activity has become a hot spot, key point and difficulty in blast furnace production. How to realize the quantitative calculation of hearth activity, online monitoring, how to accurately detect abnormal changes in hearth activity in the shortest time, so as to restore the hearth activity in the shortest time, avoid hearth accumulation, hearth freezing and other abnormal furnace conditions caused by insufficient hearth activity, realize early diagnosis, early adjustment, and avoid major economic losses are problems that need to be solved in the industry.

[0003] Japanese expert Shibaik proposed to use the temperature of the dead material column to represent the activity of the furnace in "Deadman and hearth phenomena in the blast furnace", but this index depends on the gas composition in the center and needs to be measured by the furnace body probe, which is not available in normal production. Zhang Heshun of Shougang proposed to use the ratio of the center temperature of each layer of the furnace bottom and the side wall temperature to represent the permeability of the dead coke pile in the furnace core in "Analysis of the Working State of the Furnace of Shougang No. 2 Blast Furnace" to represent the permeability of the dead coke pile in the furnace core, but when the temperature of the furnace core and the side wall is reduced, the ratio cannot reflect the change of the activity of the furnace core. The Chinese patent application CN 106834572 A proposes the flow resistance coefficient of slag iron flowing into and out of the furnace hearth, and defines its ratio to reflect the activity of the furnace hearth. When it is greater than 1, the furnace hearth is active, when it is equal, the furnace hearth works normally, and when it is less than 1, the furnace hearth is not ideal, but the coefficients such as the porosity of the dead material column, the diameter of the coke in the furnace hearth, and the viscosity of the liquid in the furnace hearth are all set values, but in fact these parameters are crucial and change with the fluctuation of the furnace condition. The Chinese patent application CN115828534 A proposed a slag iron retention index to evaluate the activity of the blast furnace hearth. The model needs to calculate the volume of the dead coke pile. The Chinese patent application CN 115034370 B proposed an empirical formula for the ratio of the hearth side wall and center temperature, the molten iron temperature, and the permeability index to represent the hearth activity, and used BP neural network to predict the hearth activity. CN115879787 A defines the ratio of the furnace core temperature to the side wall temperature of the most severely corroded part to characterize the hearth activity, and selects slag iron composition, raw material quality and air supply parameters for correlation analysis. These all focus on index calculation and theoretical research, and the consideration of phenomena and specific manifestations in the actual production process has limited effect on the operator's furnace condition diagnosis and furnace condition adjustment. In daily production, the operator usually mainly monitors the hearth temperature, especially the furnace core temperature, supplemented by the iron and slag conditions, and the key parameters of the blast furnace to judge whether the blast furnace hearth is working normally. At the end of a furnace campaign, the furnace hearth thermocouples are usually damaged and malfunctioning, so it is necessary to perform real-time diagnosis of the blast furnace hearth activity at the end of a furnace campaign. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method for diagnosing and controlling the hearth activity of a blast furnace at the end of its campaign, thereby solving the problem that the working state of the hearth cannot be effectively monitored when a large number of blast furnace thermocouples are damaged at the end of its campaign, and realizing real-time diagnosis and timely control of the hearth activity.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0006] A method for diagnosing and controlling the activity of a hearth in a blast furnace at the end of its operation, comprising the following steps:

[0007] S1. Collect relevant parameters of iron slag discharge during furnace operation and perform quantitative characterization.

[0008] S2. Construct furnace activity diagnosis rules to diagnose and regulate furnace activity.

[0009] Furthermore, in step S1, the relevant parameters of iron slag tapping include molten iron temperature, chemical heat, molten iron content, slag basicity, slag tapping amount, FeO content in slag, taphole depth, heat load data within a set time and sintered ore basicity.

[0010] Construct the relevant index of furnace hearth activity and complete the quantitative characterization. The specific contents are as follows:

[0011] (1) The furnace thermal index thermal_index is:

[0012]

[0013] Wherein, HMT is the molten iron temperature, and Si% is the silicon content.

[0014] (2) Abnormal slag index abn_index is:

[0015]

[0016] in, They are all weight coefficients, HMT_index is the abnormal index of molten iron temperature, slagwt_index is the abnormal index of slag discharge, B2_index is the abnormal index of slag basicity, FeO_index is the abnormal index of slag FeO, and taphole_index is the abnormal index of taphole depth.

[0017] (3) The airflow abnormality index TL_index is:

[0018]

[0019] Among them, m is the mth hour, TL a is the heat load of the ath collection point, is the average heat load within 24 hours, A is the total number of collection points, and TLstd_up is the upper limit of the heat load standard deviation; collection points are collected at set intervals within each hour.

[0020] (4) The correlation coefficient φ between the carbon content C% of molten iron and the temperature of molten iron is:

[0021]

[0022] Among them, Cov() is the covariance and Var[] is the variance.

[0023] (5) Slag basicity B2 and theoretical slag basicity R before the jth lag hour 2j Perform correlation analysis and obtain the correlation coefficient λ j ,for:

[0024]

[0025] Within the smelting cycle T0, 2T0 correlation coefficients are calculated, and the lag hour corresponding to the correlation coefficient with the largest absolute value is selected as the actual lag time T of the slag.

[0026] Furthermore, the molten iron temperature abnormality index is:

[0027]

[0028] Among them, HMT_low is the lower limit of the molten iron temperature, HMT_i is the molten iron temperature of the i-th furnace, and I is the total number of furnaces producing iron within 24 hours.

[0029] The abnormal index of slag discharge is:

[0030]

[0031] Among them, slagwt_low is the lower limit of the slag discharge amount, and slagwt_i is the slag discharge amount of the i-th furnace.

[0032] The abnormal index of slag basicity is:

[0033]

[0034] Among them, B2_up is the upper limit of slag basicity, and B2_i is the slag basicity of the i-th furnace.

[0035] The abnormal index of slag FeO is:

[0036]

[0037] Among them, FeO_up is the upper limit of the FeO content in the slag, and FeO_i is the FeO content in the slag of the i-th furnace.

[0038] The abnormal index of the taphole depth is:

[0039]

[0040] Among them, taphole_low is the lower limit of the taphole depth, and taphole_i is the taphole depth of the i-th furnace.

[0041] Furthermore, the determination of the weight coefficient includes the following contents:

[0042] The furnace core temperature data within the set time when the furnace core temperature continues to drop is selected, and correlation analysis is performed with the molten iron temperature abnormality index, slag discharge abnormality index, slag basicity abnormality index, slag FeO abnormality index, and taphole depth abnormality index respectively to obtain the correlation coefficient, and the weight coefficient is allocated from large to small according to the correlation coefficient.

[0043] Furthermore, in step S2, the diagnosis and regulation of the furnace activity includes the following:

[0044] The diagnostic conditions for hearth activity are:

[0045] Condition 1: The furnace thermal index thermal_index is less than 2.8 for n consecutive days;

[0046] Condition 2: Slag iron abnormality index abn_index>3;

[0047] Condition 3: airflow abnormality index TL_index>5;

[0048] Condition 4: The correlation coefficient between the carbon content C% of the molten iron and the temperature of the molten iron is φ>0.2;

[0049] Condition 5: The actual lag time T is greater than the smelting cycle T0.

[0050] Regulation includes:

[0051] (1) When conditions 1 to 5 are met, the furnace is diagnosed as seriously inactive, and measures such as reducing the load and hot-washing the furnace or washing the furnace with manganese ore are taken to activate the furnace;

[0052] (2) When conditions 1 to 3 are met, it is diagnosed as insufficient furnace activity. The furnace heat can be increased by adding 30 tons of net coke or by reducing the number of edge ore circles by 1-2 and increasing the air volume by 200-400m 3 / min;

[0053] (3) When conditions 1, 2 or 1, 3 are met, the furnace is diagnosed as slightly inactive. If the blast kinetic energy is lower than the normal range, the central coke volume increases by 5%. If the blast kinetic energy is greater than the normal range, the central coke volume decreases by 5%. Alternatively, iron tapping is organized in a timely manner according to the set iron tapping interval.

[0054] Further, the normal range is 500.

[0055] Furthermore, the present invention also proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for diagnosing and controlling the hearth activity of a blast furnace at the end of its campaign when executing the computer program.

[0056] Furthermore, the present invention also proposes a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is run by a processor, the method for diagnosing and controlling the hearth activity at the end of a blast furnace campaign is executed.

[0057] Compared with the prior art, the present invention adopts the above technical solution and has the following technical effects:

[0058] The method proposed in the present invention can deeply mine and monitor abnormal data appearing in the working condition of the furnace, and mine the internal rules to extract the diagnostic indicators of the blast furnace hearth activity. In addition, no additional equipment investment is required, and automatic diagnosis and automatic suggestions can be made, and the blast furnace hearth activity diagnosis can be adapted to different furnace campaigns. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is an overall implementation flow chart of the present invention.

[0060] Figure 2 This is a result diagram showing that abnormal conditions of slag in an embodiment of the present invention change with changes in furnace core temperature.

[0061] Figure 3 1 is a furnace core temperature variation trend diagram of an embodiment of the present invention.

[0062] Figure 4 It is a correlation diagram between molten iron temperature and molten iron carbon content during a period when the furnace core temperature rises / falls significantly in an embodiment of the present invention.

[0063] Figure 5 It is a correlation diagram between molten iron temperature and molten iron carbon content during the period when the furnace core temperature is stable in an embodiment of the present invention. DETAILED DESCRIPTION

[0064] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0065] To achieve the above object, the present invention proposes a method for diagnosing and controlling the activity of a hearth in a blast furnace at the end of its service life, such as Figure 1 As shown, the specific steps are as follows:

[0066] S1. According to the long-term practice and summary of blast furnaces, after the core temperature of a blast furnace continues to drop for a period of time, the blast furnace will have some sub-health conditions, such as abnormal increase in iron and slag discharge, single furnace molten iron temperature and chemical heat are often lower than the lower limit, and the molten iron temperature is low and the chemical heat is high. The amount of slag in a single furnace is often lower than the lower limit, the frequency of high-basicity slag discharge increases, the frequency of FeO high frequency becomes larger, the number of iron mouth abnormalities increases, the blast furnace air flow fluctuations increase, such as the number of times the heat load exceeds the standard, the correlation between the molten iron temperature and the carbon content increases significantly, and the lag time between the actual basicity and the theoretical basicity of the slag increases. However, at this time, the basic economic indicators of the blast furnace will not regress. These only occur in the minds of the operators. It is necessary to express these valuable experiences quantitatively in a scientific way, and form a set of methods for diagnosing the activity of the furnace to achieve automatic diagnosis and early warning.

[0067] In addition, through the relationship between molten iron temperature and molten iron carbon content, it was found that the statistical correlation during the period when the furnace core temperature dropped increased significantly, exceeding 0.2, while during the period when the furnace temperature was stable, the correlation was very small, usually within 0.01, and there was almost no relationship.

[0068] Collect relevant parameters of iron slag discharge during furnace operation and perform quantitative characterization. The specific contents are:

[0069] The relevant parameters of iron slag tapping include molten iron temperature, chemical heat, molten iron content, slag basicity, slag tapping amount, FeO content in slag, iron mouth depth, heat load data every 2 minutes and sinter ore basicity.

[0070] Construct the relevant index of furnace hearth activity and complete the quantitative characterization. The specific contents are as follows:

[0071] (1) The furnace thermal index thermal_index is:

[0072]

[0073] Wherein, HMT is the molten iron temperature, and Si% is the silicon content.

[0074] (2) Abnormal slag index abn_index is:

[0075]

[0076] in, They are all weight coefficients, HMT_index is the abnormal index of molten iron temperature, slagwt_index is the abnormal index of slag discharge, B2_index is the abnormal index of slag basicity, FeO_index is the abnormal index of slag FeO, and taphole_index is the abnormal index of taphole depth.

[0077] The determination of the weight coefficient includes: selecting the furnace core temperature data within the set time when the furnace core temperature continues to drop, and performing correlation analysis with the molten iron temperature abnormality index, slag discharge abnormality index, slag basicity abnormality index, slag FeO abnormality index, and taphole depth abnormality index, respectively, to obtain the correlation coefficient, and assign the weight coefficient according to the correlation coefficient from large to small.

[0078] For example, the correlation coefficients are X1, X2, X3, X4, and X5, all of which are between (0-1), and X1>X2>X3>X4>X5, then

[0079] The abnormal index of molten iron temperature is:

[0080]

[0081] Among them, HMT_low is the lower limit of the molten iron temperature, which is determined by the operator based on experience; HMT_i is the molten iron temperature of the i-th furnace; I is the total number of furnaces that produce iron within 24 hours.

[0082] The abnormal index of slag discharge is:

[0083]

[0084] Among them, slagwt_low is the lower limit of the slag discharge amount, which is determined by the operator based on experience; slagwt_i is the slag discharge amount of the i-th furnace.

[0085] The abnormal index of slag basicity is:

[0086]

[0087] Among them, B2_up is the upper limit of slag basicity, which is determined by the operator based on experience; B2_i is the slag basicity of the i-th furnace.

[0088] The abnormal index of slag FeO is:

[0089]

[0090] Among them, FeO_up is the upper limit of the FeO content in the slag, which is determined by the operator based on experience; FeO_i is the FeO content in the slag of the i-th furnace.

[0091] The abnormal index of the taphole depth is:

[0092]

[0093] Among them, taphole_low is the lower limit of the taphole depth, which is determined by the operator based on experience; taphole_i is the taphole depth of the i-th furnace.

[0094] (3) The airflow abnormality index TL_index is:

[0095]

[0096] Among them, m is the mth hour, TL a is the heat load of the ath collection point, is the average heat load within 24 hours, A is the total number of collection points, and TLstd_up is the upper limit of the heat load standard deviation; collection points are collected at set intervals within each hour.

[0097] In this embodiment, one point is collected every 2 minutes within 1 hour, so there are 30 points in total, that is, A=30.

[0098] (4) The correlation coefficient φ between the carbon content C% of molten iron and the temperature of molten iron is:

[0099]

[0100] Among them, Cov() is the covariance and Var[] is the variance.

[0101] (5) It usually takes a smelting cycle of T0 hours from the time the charge enters the blast furnace to the time the molten iron and slag are formed. However, due to the different furnace activities, the lag period may be longer than T0. Therefore, the slag basicity B2 of the past 100 furnaces and the theoretical slag basicity R of the 100 furnaces before the first hour (lag time) are regularly calculated in the background. 21 Perform correlation analysis and obtain the correlation coefficient λ1, which is:

[0102]

[0103] The slag basicity B2 of the past 100 furnaces and the theoretical slag basicity R of the 100 furnaces before the second hour (lag time) are calculated. 22 Perform correlation analysis to obtain the correlation coefficient λ2; and so on until we get

[0104] In this embodiment, T0=8 hours, and 16 correlation coefficients are obtained, because the smelting cycle will increase when an abnormality occurs in the furnace.

[0105] The lag time T of the slag is determined by selecting the lag time corresponding to the correlation coefficient with the largest absolute value among the 16 correlation coefficients.

[0106] S2. Construct furnace activity diagnosis rules to diagnose and regulate furnace activity. The specific contents are:

[0107] The diagnostic conditions for hearth activity are:

[0108] Condition 1: The furnace thermal index thermal_index is less than 2.8 for n consecutive days;

[0109] Condition 2: Slag iron abnormality index abn_index>3;

[0110] Condition 3: airflow abnormality index TL_index>5;

[0111] Condition 4: The correlation coefficient between the carbon content C% of the molten iron and the temperature of the molten iron is φ>0.2;

[0112] Condition 5: The actual lag time T is greater than the smelting cycle T0.

[0113] Regulation includes:

[0114] (1) When conditions 1 to 5 are met, the furnace is diagnosed as seriously inactive, and measures such as reducing the load and hot-washing the furnace or washing the furnace with manganese ore are taken to activate the furnace;

[0115] (2) When conditions 1 to 3 are met, it is diagnosed as insufficient furnace activity. The furnace heat can be increased by adding 30 tons of net coke or by reducing the number of edge ore circles by 1-2 and increasing the air volume by 200-400m 3 / min;

[0116] (3) When conditions 1, 2 or 1, 3 are met, the furnace is diagnosed as slightly inactive. If the blast kinetic energy is lower than the normal range, the central coke volume increases by 5%. If the blast kinetic energy is greater than the normal range, the central coke volume decreases by 5%. Alternatively, iron tapping is organized in a timely manner according to the set iron tapping interval.

[0117] In this embodiment, the normal range is 500.

[0118] Figure 2 The abnormal changes of slag during the change of furnace core temperature are shown in Figure 2. Figure 2 It can be seen from (a) that when the furnace core temperature is low, the frequency of low slag discharge is very high. Figure 2 In (b), it can be seen that during the period of time when the furnace core temperature is very low, the frequency of high slag FeO is very high. This shows that various abnormal manifestations during the period of low furnace core temperature can be quantitatively expressed and can be used to characterize the activity of the furnace cylinder when the furnace core temperature fails at the end of the furnace campaign.

[0119] Figure 3 This is a trend diagram of furnace core temperature changes. According to the characteristics of furnace temperature changes, it can be divided into two stages: rapid change of furnace core temperature P1, and relatively stable furnace core temperature P2.

[0120] Figure 4 This is the correlation between the molten iron temperature and the carbon content in the furnace during the period when the furnace core temperature rises / drops significantly (P1 stage). It can be seen that in the rapid change range of the furnace core temperature, the correlation coefficient between the molten iron temperature and the carbon content in the molten iron is relatively high; Figure 5 Figure 2 is the correlation between the molten iron temperature and the carbon content in the period when the furnace core temperature is stable (P2 stage). It can be seen that the correlation coefficient between the molten iron temperature and the carbon content in the molten iron is low when the furnace core temperature is relatively stable. Figure 4 and Figure 5 It can be seen that the correlation coefficient between molten iron temperature and molten iron carbon content can be used to characterize the activity of the furnace hearth when the furnace core temperature fails at the end of a furnace campaign.

[0121] The embodiment of the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. It should be noted that when the processor executes the computer program, the specific steps of the method provided in the embodiment of the present invention are corresponding to the specific steps of the method provided in the embodiment of the present invention, and the processor has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided in the embodiment of the present invention.

[0122] The embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program. It should be noted that when the computer program is executed by the processor, it corresponds to the specific steps of the method provided in the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided in the embodiment of the present invention.

[0123] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for diagnosing and controlling the activity of a hearth in a blast furnace at the end of its operation, characterized in that: include: S1. Collect relevant parameters of iron slag discharge during furnace operation and perform quantitative characterization; S2. Construct furnace activity diagnosis rules to diagnose and regulate furnace activity.

2. The method for diagnosing and controlling the hearth activity at the end of a blast furnace campaign according to claim 1, characterized in that: In step S1, the parameters related to iron slag tapping include molten iron temperature, chemical heat, molten iron content, slag basicity, slag tapping amount, FeO content in slag, taphole depth, heat load data within a set time, and sintered ore basicity; Construct the relevant index of furnace hearth activity and complete the quantitative characterization. The specific contents are as follows: (1) The furnace thermal index thermal_index is: Wherein, HMT is the molten iron temperature, Si% is the silicon content; (2) Abnormal slag index abn_index is: in, All are weight coefficients, HMT_index is the abnormal index of molten iron temperature, slagwt_index is the abnormal index of slag discharge, B2_index is the abnormal index of slag basicity, FeO_index is the abnormal index of slag FeO, and taphole_index is the abnormal index of taphole depth; (3) The airflow abnormality index TL_index is: Among them, m is the mth hour, TL a is the heat load of the ath collection point, is the average heat load within 24 hours, A is the total number of collection points, and TLstd_up is the upper limit of the heat load standard deviation; the collection points are collected at set intervals every hour; (4) The correlation coefficient φ between the carbon content C% of molten iron and the temperature of molten iron is: Among them, Cov() is the covariance, Var[] is the variance; (5) Slag basicity B2 and theoretical slag basicity R before the jth lag hour 2j Perform correlation analysis and obtain the correlation coefficient λ j ,for: Within the smelting cycle T0, 2T0 correlation coefficients are calculated, and the lag hour corresponding to the correlation coefficient with the largest absolute value is selected as the actual lag time T of the slag.

3. The method for diagnosing and controlling the hearth activity of a blast furnace at the end of its operation according to claim 2, characterized in that: The abnormal index of molten iron temperature is: Wherein, HMT_low is the lower limit of molten iron temperature, HMT_i is the molten iron temperature of the i-th furnace, and I is the total number of furnaces producing iron within 24 hours; The abnormal index of slag discharge is: Among them, slagwt_low is the lower limit of slag discharge, and slagwt_i is the slag discharge of the i-th furnace; The abnormal index of slag basicity is: Among them, B2_up is the upper limit of slag basicity, and B2_i is the slag basicity of the i-th furnace; The abnormal index of slag FeO is: Among them, FeO_up is the upper limit of FeO content in slag, and FeO_i is the FeO content in the slag of the i-th furnace; The abnormal index of the taphole depth is: Among them, taphole_low is the lower limit of the taphole depth, and taphole_i is the taphole depth of the i-th furnace.

4. The method for diagnosing and controlling the hearth activity of a blast furnace at the end of its operation according to claim 2, characterized in that: The determination of weight coefficients includes the following: The furnace core temperature data within the set time when the furnace core temperature continues to drop is selected, and correlation analysis is performed with the molten iron temperature abnormality index, slag discharge abnormality index, slag basicity abnormality index, slag FeO abnormality index, and taphole depth abnormality index respectively to obtain the correlation coefficient, and the weight coefficient is allocated from large to small according to the correlation coefficient.

5. The method for diagnosing and controlling the hearth activity of a blast furnace at the end of its operation according to claim 1, characterized in that: In step S2, the diagnosis and regulation of the furnace activity includes the following: The diagnostic conditions for hearth activity are: Condition 1: The furnace thermal index thermal_index is less than 2.8 for n consecutive days; Condition 2: Slag iron abnormality index abn_index>3; Condition 3: airflow abnormality index TL_index>5; Condition 4: The correlation coefficient between the carbon content C% of the molten iron and the temperature of the molten iron is φ>0.2; Condition 5: The actual lag time T is greater than the smelting cycle T0; Regulation includes: (1) When conditions 1 to 5 are met, the furnace is diagnosed as seriously inactive, and measures such as reducing the load and hot-washing the furnace or washing the furnace with manganese ore are taken to activate the furnace; (2) When conditions 1 to 3 are met, it is diagnosed as insufficient furnace activity. The furnace heat can be increased by adding 30 tons of net coke or by reducing the number of edge ore circles by 1-2 and increasing the air volume by 200-400m 3 / min; (3) When conditions 1, 2 or 1, 3 are met, the furnace is diagnosed as slightly inactive. If the blast kinetic energy is lower than the normal range, the central coke volume increases by 5%. If the blast kinetic energy is greater than the normal range, the central coke volume decreases by 5%. Alternatively, iron tapping is organized in a timely manner according to the set iron tapping interval.

6. The method for diagnosing and controlling the hearth activity of a blast furnace at the end of its operation according to claim 1, characterized in that: The normal range is 500.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for diagnosing and controlling the hearth activity at the end of a blast furnace campaign as described in any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for diagnosing and controlling the hearth activity at the end of a blast furnace campaign as claimed in any one of claims 1 to 6 is executed.

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