Method for determining furnace hearth activity and related equipment

By constructing the blast furnace furnace cylinder activity index and using blast furnace operation data and coke characteristic data for multi-source data fusion, the problem of low accuracy in determining the activity of the furnace cylinder in the prior art is solved, and a more accurate evaluation of the furnace cylinder state and optimization of blast furnace operation are achieved.

CN119763700APending Publication Date: 2025-04-04SHOUGANG GROUP CO LTD
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Patent Information

Application Number
CN202411815644.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-11
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

In the prior art, the method for determining the activity of the furnace cylinder is low in accuracy, making it difficult to comprehensively and accurately characterize the complex physical and chemical changes in the furnace cylinder, especially when the blast furnace operating conditions and raw fuel characteristics are varied.

Method used

By obtaining blast furnace operation data and coke characteristic data, a blast furnace cylinder activity index is constructed, and through multi-source data fusion and weighted summing, the key factors in the furnace state are fully covered, and the reliability of the evaluation results is improved.

Benefits of technology

A more accurate capture of the dynamic changes of heat distribution in the furnace cylinder, slag-iron flow and reactivity is achieved, and the problems of ignoring the relationship between raw fuel characteristics or blast furnace parameters in traditional methods are avoided, and quantitative reference is provided to optimize blast furnace operation.

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Abstract

The present application discloses a method for determining the activity of a hearth and related equipment, and relates to the field of blast furnace metallurgy technology. The method comprises: obtaining blast furnace operation data and coke characteristic data of a target blast furnace hearth; determining a blast furnace hearth activity index according to the blast furnace operation data and coke characteristic data; and determining the hearth activity level of the target blast furnace hearth according to the blast furnace hearth activity index. The present application can comprehensively cover the key factors of the hearth status, improve the operating efficiency and adaptability of the blast furnace, and has ease of use and wide applicability through multi-source data fusion and the construction of activity index.
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Description

Technical Field

[0001] The present application relates to the technical field of blast furnace metallurgy, and more specifically, to a method for determining furnace hearth activity and related equipment. Background Art

[0002] With the rapid development of the steel industry, the blast furnace, as the core production equipment in the metallurgical industry, its efficient and stable operation is of great significance to production efficiency and product quality; the hearth, as an important component of the blast furnace, its activity directly affects the heat distribution inside the hearth, the slag and iron flowability, and the metallurgical reaction efficiency; therefore, scientifically and accurately determining the hearth activity is crucial to the optimized operation and life extension of the blast furnace.

[0003] In the related art, the determination of the activity of the hearth usually relies on empirical judgment or a single parameter calculation method, such as temperature monitoring data, molten iron composition analysis or blast furnace operator experience evaluation; however, although these methods are simple to operate, it is difficult to fully and accurately characterize the complex physical and chemical changes inside the hearth, especially when the blast furnace operating conditions and raw fuel characteristics are variable, the applicability and accuracy of the traditional methods are limited; in addition, some existing indirect evaluation methods, such as the activity index based on a single calculation formula, often fail to fully consider the combined influence of blast furnace operating parameters and coke characteristic data, resulting in a large deviation in the prediction of the hearth activity; especially in the blast furnace operation optimization and hearth status evaluation stage, this limitation may make it difficult for the activity evaluation results to truly reflect the actual working conditions, and thus have a negative impact on the adjustment of the blast furnace operation strategy and maintenance decisions. That is, there is a technical problem of low accuracy in the determination of the hearth activity in the prior art. Summary of the invention

[0004] A series of simplified concepts are introduced in the summary of the invention, which will be further described in detail in the detailed description. The summary of the invention of this application does not mean to attempt to define the key features and essential technical features of the technical solution claimed for protection, nor does it mean to attempt to determine the scope of protection of the technical solution claimed for protection.

[0005] The method for determining the hearth activity and the related device provided in the present application can comprehensively cover the key factors of the hearth status through multi-source data fusion and the construction of activity index, improve the operating efficiency and adaptability of the blast furnace, and at the same time have ease of use and wide applicability.

[0006] In a first aspect, the present application provides a method for determining hearth activity, comprising: acquiring blast furnace operation data and coke characteristic data of a target blast furnace hearth; determining a blast furnace hearth activity index based on the blast furnace operation data and the coke characteristic data; and determining the hearth activity level of the target blast furnace hearth based on the blast furnace hearth activity index.

[0007] In a feasible implementation manner, the blast furnace operation data include the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the amount of coal, the net air volume, the wind temperature, the pressure difference, the gas utilization rate, the silicon content and the magnesium-aluminum ratio; the coke characteristic data include the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average coke particle size; the blast furnace hearth activity index is determined based on the blast furnace operation data and the coke characteristic data, including: taking a weighted sum of the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the amount of coal, the net air volume, the wind temperature, the pressure difference, the gas utilization rate, the silicon content, the magnesium-aluminum ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average coke particle size to obtain the blast furnace hearth activity index.

[0008] In a feasible implementation manner, the blast furnace operation data also includes wind speed kinetic energy, furnace flow rate and furnace temperature; the coke characteristic data also includes slag-iron ratio; the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the coal amount, the net air volume, the air temperature, the pressure difference, the coal gas utilization rate, the silicon content, the magnesium-aluminum ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the coke average particle size are weighted and summed to obtain The blast furnace hearth activity index is obtained by weighted summing up the amount of coke blocks fed into the furnace, the amount of coke pieces fed into the furnace, the amount of coal, the net air volume, the wind temperature, the pressure difference, the kinetic energy of wind speed, the hearth flow rate, the hearth temperature, the coal gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the coke average particle size to obtain the blast furnace hearth activity index.

[0009] In a feasible implementation manner, the amount of coke blocks fed into the furnace, the amount of coke pieces fed into the furnace, the amount of coal, the net air volume, the air temperature, the pressure difference, the kinetic energy of wind speed, the hearth flow, the hearth temperature, the coal gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average coke particle size are weighted and summed to obtain the blast furnace hearth activity index, including: The amount of coke blocks fed into the furnace, the amount of coke pieces fed into the furnace, the amount of coal, the net air volume, the air temperature, the pressure difference, the kinetic energy of wind speed, the hearth flow rate, the hearth temperature, the coal gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average coke particle size are substituted into the activity index calculation function to obtain the blast furnace hearth activity index, wherein the activity index calculation function is:

[0010] z=a1×(x1+x2)+a2×x3+a3×x4+a4×x5+a5×x6+a6×x7+a7

[0011] ×(x8×x9)+a8×x 10 +a9×x 11 +a 10 × 12 +a 11 × 13 +a 12

[0012] ×y1+a 13 ×y2+a 14 ×y3+a 15 ×y4+a 16 ×y5 2

[0013] In the formula, z is the activity index of the blast furnace hearth, x1 is the amount of coke entering the furnace, x2 is the amount of coke entering the furnace, x3 is the amount of coal, x4 is the net air volume, x5 is the air temperature, x6 is the pressure difference, x7 is the wind speed kinetic energy, x8 is the hearth flow rate, x9 is the hearth temperature, x 10 is the gas utilization rate, x 11 is the silicon content, x 12 is the magnesium-aluminum ratio, x 13is the slag-iron ratio, y1 is the coke ash content, y2 is the coke crushing strength index, y3 is the coke reactivity index, y4 is the coke post-reaction strength index, and y5 is the average particle size of the coke; the value range of a1 is [-0.08, -0.01], the value range of a2 is [-0.50, -0.01], and the value range of a3 is [-0.08, -0.0 1], a4 ranges from [-0.30, -0.01], a5 ranges from [60.00, 260.00], a6 ranges from [-0.08, 0.00], a7 ranges from [0, 0.01], a8 ranges from [640.00, 850.00], a9 ranges from [-60.00, -25.00], a 10 The value range is [-93.00,-54.00], a 11 The value range is [0.0,1.5], a 12 The value range is [-41.00,-10.00], a 13 The value range of a is [-45.00,-15.00], 14 The value range of a is [2.50,4.70], 15 The value range of a is [2.50,4.70], 16 The value range is [-0.80,-0.01].

[0014] In a feasible implementation manner, obtaining the blast furnace operation data and coke characteristic data of the target blast furnace hearth includes: obtaining the blast furnace operation data of the target blast furnace hearth on the day and the coke characteristic data of the Nth day before the day, wherein N is an integer greater than 4 and less than 46.

[0015] In a feasible implementation manner, determining the hearth activity level of the target blast furnace hearth according to the blast furnace hearth activity index includes: when the blast furnace hearth activity index is less than or equal to a first index, determining the hearth activity level of the target blast furnace hearth to be level one activity; when the blast furnace hearth activity index is greater than the first index and less than or equal to a second index, determining the hearth activity level of the target blast furnace hearth to be level two activity, wherein the second index is greater than the first index; when the blast furnace hearth activity index is greater than the second index and less than or equal to a third index, determining the hearth activity level of the target blast furnace hearth to be level three activity, wherein the third index is greater than the second index; when the blast furnace hearth activity index is greater than the third index, determining the hearth activity level of the target blast furnace hearth to be level four activity.

[0016] In a feasible implementation manner, the first index, the second index and the third index respectively correspond to the first quartile, the second quartile and the third quartile of the historical activity index mean, wherein the historical activity index mean is the daily average of the blast furnace hearth activity index of the target blast furnace hearth within a preset historical time period, and the preset historical time period is greater than or equal to one year.

[0017] In the second aspect, the present application also provides a device for determining the hearth activity, comprising: a data acquisition unit for acquiring blast furnace operation data and coke characteristic data of a target blast furnace hearth; an index determination unit for determining a blast furnace hearth activity index based on the blast furnace operation data and the coke characteristic data; an activity determination unit for determining the hearth activity level of the target blast furnace hearth based on the blast furnace hearth activity index.

[0018] In a third aspect, the present application further provides an electronic device, comprising: a memory and a processor, wherein the processor is configured to implement the steps of the furnace activity determination method described in the first aspect when executing a computer program stored in the memory.

[0019] In a fourth aspect, the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the method for determining furnace activity described in the first aspect.

[0020] In a fifth aspect, the present application also provides a computer program product, including a computer program or computer executable instructions, which, when executed by a processor, implements the furnace activity determination method provided in an embodiment of the present application.

[0021] In summary, this application achieves comprehensive coverage of the main factors affecting the furnace state by acquiring blast furnace operation data (such as air volume, wind speed, furnace temperature, furnace top pressure, etc.) and coke characteristic data (such as coke reactivity index, coke particle size distribution, strength, etc.). Combining multi-source data can more accurately capture the dynamic changes of heat distribution, slag flow and reaction activity in the furnace, thereby improving the reliability of the evaluation results; by constructing an activity index related to blast furnace operating conditions and coke characteristics, it effectively avoids the problem of ignoring the correlation between raw material characteristics or blast furnace parameters in traditional methods, and the activity index can provide a quantitative reference for the operation optimization of the blast furnace. For example, when the activity is too low, the furnace state can be improved by adjusting operating parameters (such as air volume or coal injection amount) or optimizing coke quality; that is, by evaluating the furnace activity, scientific decision-making for blast furnace operation can be supported, production efficiency can be improved, energy consumption can be reduced, and equipment life can be extended; and the acquisition of parameters of blast furnace routine operation data and coke characteristic data is relatively easy, and the activity index calculation method can be automatically completed through the algorithm model, which has high applicability and operability, and can adapt to the scale and process conditions of different blast furnaces. In summary, the furnace activity determination method provided in this application can comprehensively cover the key factors of the furnace state through multi-source data fusion and the construction of activity index, improve the operating efficiency and adaptability of the blast furnace, and at the same time have ease of use and wide applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0023] Figure 1 A flow chart of a method for determining furnace activity provided in an embodiment of the present application;

[0024] Figure 2 A schematic diagram of a curve showing the relationship between a blast furnace hearth activity index, a first index, a second index and a third index provided in an embodiment of the present application;

[0025] Figure 3 A schematic diagram of a curve showing the relationship between output, blast furnace hearth activity index, first index, second index and third index provided in an embodiment of the present application;

[0026] Figure 4 A schematic diagram of a curve showing the relationship between the furnace core temperature, the blast furnace hearth activity index, the first index, the second index and the third index provided in an embodiment of the present application;

[0027] Figure 5A schematic diagram of the structure of a furnace activity determination device provided in an embodiment of the present application;

[0028] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "is" and "has" and any variations thereof involved in the present application are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] The term "module" or "unit" in this application refers to a computer program or a part of a computer program that has a predetermined function and works together with other related parts to achieve a predetermined goal, and can be implemented in whole or in part by using software, hardware (such as processing circuits or memories) or a combination thereof. Similarly, a processor (or multiple processors or memories) can be used to implement one or more modules or units. In addition, each module or unit can be part of an overall module or unit that includes the function of the module or unit.

[0031] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. In the following description, it is related to "some embodiments", which describes a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict.

[0032] See also Figure 1 , Figure 1 1 is a flow chart of a method for determining furnace activity provided by an embodiment of the present application. The method may specifically include the following steps 101 to 103:

[0033] Step 101, obtaining blast furnace operation data and coke characteristic data of a target blast furnace hearth;

[0034] Specifically, the target blast furnace hearth refers to the specific blast furnace hearth that needs to be evaluated for activity; in the blast furnace production process, the hearth is the lowest part of the blast furnace, which is directly related to the heat exchange, chemical reaction and slag generation of the materials in the furnace. Blast furnace operation data refers to a series of parameters related to the normal operation of the blast furnace, which can reflect the operating status of the blast furnace; specifically, blast furnace operation data may include but is not limited to the amount of coke blocks entering the furnace, the amount of coke dices entering the furnace, the amount of coal, the net air volume, the air temperature, etc.; coke characteristic data describes the physical and chemical properties of coke used in blast furnace production, which have an important impact on the activity of the hearth. Coke characteristic data may include but is not limited to coke ash content, coke crushing strength index, coke reactivity index, etc.

[0035] Step 102, determining the blast furnace hearth activity index according to the blast furnace operation data and the coke characteristic data;

[0036] Specifically, the Hearth Activity Evaluation Index (HACT) is a quantitative indicator used to evaluate and represent the activity level of the blast furnace hearth. This index is calculated by comprehensively analyzing the blast furnace operation data and coke characteristic data collected in step 101, and can be calculated based on a series of mathematical models and algorithms. These models and algorithms combine different operating parameters and characteristic data to form a single value that can represent the activity level of the hearth.

[0037] Exemplarily, the process of calculating the blast furnace hearth activity index may include the following steps: first, the collected data is cleaned and standardized to ensure the quality and consistency of the data. Then, a weight is assigned to each parameter according to the degree of influence of each parameter on the hearth activity. These weights can be determined by an expert system, statistical analysis or machine learning algorithm; finally, the pre-processed data is multiplied by the corresponding weights and then summed to obtain a comprehensive score, namely the blast furnace hearth activity index.

[0038] Step 103, determining the hearth activity level of the target blast furnace hearth according to the blast furnace hearth activity index;

[0039] Specifically, the activity of the hearth is a qualitative description of whether the blast furnace hearth can effectively complete its functions during the smelting process. It refers to the working state and efficiency of the blast furnace hearth during the smelting process, and describes the comprehensive performance of the movement of the material layer, chemical reaction, heat transfer and gas flow inside the hearth. If the activity index is high, it means that the hearth is active and in good working condition; if the activity index is low, it means that the hearth is poorly active, there may be operational problems, and adjustments are needed.

[0040] In summary, the embodiments of the present application achieve comprehensive coverage of the main factors affecting the furnace state by acquiring blast furnace operation data (such as air volume, wind speed, furnace temperature, furnace top pressure, etc.) and coke characteristic data (such as coke reactivity index, coke particle size distribution, strength, etc.), and combining multi-source data can more accurately capture the dynamic changes of heat distribution, slag flow and reaction activity in the furnace, thereby improving the reliability of the evaluation results; by constructing an activity index related to blast furnace operating conditions and coke characteristics, the problem of ignoring the correlation between raw material characteristics or blast furnace parameters in traditional methods is effectively avoided, and the activity index can provide a quantitative reference for the operation optimization of the blast furnace. For example, when the activity is too low, the furnace state can be improved by adjusting operating parameters (such as air volume or coal injection amount) or optimizing coke quality; that is, by evaluating the furnace activity, scientific decision-making for blast furnace operation can be supported, production efficiency can be improved, energy consumption can be reduced, and equipment life can be extended; and the acquisition of parameters of blast furnace routine operation data and coke characteristic data is relatively easy, and the activity index calculation method can be automatically completed through an algorithm model, which has high applicability and operability, and can adapt to the scale and process conditions of different blast furnaces. In summary, the furnace activity determination method provided in the embodiment of the present application can comprehensively cover the key factors of the furnace state through multi-source data fusion and the construction of the activity index, improve the operating efficiency and adaptability of the blast furnace, and at the same time have ease of use and wide applicability.

[0041] In some embodiments, the aforementioned blast furnace operation data may include the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the amount of coal, the net air volume, the wind temperature, the pressure difference, the gas utilization rate, the silicon content and the magnesium-aluminum ratio; the aforementioned coke characteristic data may include the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average particle size of the coke; the aforementioned step 102 may include: taking the weighted sum of the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the amount of coal, the net air volume, the wind temperature, the pressure difference, the gas utilization rate, the silicon content, the magnesium-aluminum ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average particle size of the coke to obtain the blast furnace hearth activity index.

[0042] Specifically, the amount of coke lumps fed into the blast furnace is the total weight of the larger (greater than 25 mm) lump coke put into the blast furnace, usually in kilograms; the amount of coke diced into the furnace is the total weight of the coke debris fed into the furnace, usually in kilograms; the sum of the amount of coke lumps and the amount of coke diced into the furnace is the total amount of coke fed into the furnace; the amount of coal is the amount of coal injected, usually in tons; the net air volume is the total amount of blast air actually entering the blast furnace, usually in cubic meters per ton of hot metal (m3 / ton of hot metal). 3 / tHM); wind temperature is the blast temperature entering the blast furnace, usually in degrees Celsius (℃); pressure difference is the pressure difference between the top and bottom of the blast furnace, in kilopascals (kPa); gas utilization rate is the utilization efficiency of carbon monoxide and hydrogen in blast furnace gas, in percentage (%); silicon content refers to the silicon content in molten iron, in percentage (%); magnesium-aluminum ratio is the ratio of magnesium oxide (MgO) to aluminum oxide (Al2O3) in slag, reflecting the basicity and fluidity of slag; coke ash is the content of mineral impurities in coke, in percentage (%); coke crushing strength index indicates the percentage of coke particles less than 10 mm after roller test, in percentage (%); coke reactivity index indicates the chemical reactivity of coke under high temperature conditions, in percentage (%); coke post-reaction strength index indicates the compressive strength of coke after reaction, in percentage (%); coke average particle size is the average particle size of coke particles, usually in millimeters.

[0043] Through the implementation of the above-mentioned embodiments, by utilizing blast furnace operation data such as the amount of coke blocks entering the furnace, the amount of coal, the wind temperature, and the coke characteristic data such as the coke ash content and the crushing strength, the main variables affecting the activity of the furnace can be fully covered to ensure the comprehensiveness of the evaluation; and the evaluation results can more directly guide the process optimization of the blast furnace, such as adjusting the air volume, coke quality, etc., to improve operation accuracy and resource utilization efficiency.

[0044] In some embodiments, the aforementioned blast furnace operation data may also include wind speed kinetic energy, hearth flow rate and hearth temperature; the aforementioned coke characteristic data may also include slag-iron ratio; the aforementioned weighted summation of the amount of coke blocks entering the furnace, the amount of coke dices entering the furnace, the amount of coal, the net air volume, the wind temperature, the pressure difference, the gas utilization rate, the silicon content, the magnesium-aluminum ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average particle size of coke to obtain the blast furnace hearth activity index may include: weighted summation of the amount of coke blocks entering the furnace, the amount of coke dices entering the furnace, the coal volume, the net air volume, the wind temperature, the pressure difference, the wind speed kinetic energy, the hearth flow rate, the hearth temperature, the gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average particle size of coke to obtain the blast furnace hearth activity index.

[0045] Specifically, wind speed kinetic energy is the kinetic energy of the wind speed entering the blast furnace, which is used to reflect the dynamic characteristics of the airflow, and its unit is kilogram meter per second (kg·m / s); hearth flow rate is the flow rate of gas or liquid in the hearth of the blast furnace, and its unit is cubic meter / hour; hearth temperature is the temperature of the hearth area of ​​the blast furnace, and its unit is degrees Celsius (℃); slag-iron ratio is the ratio of slag weight to pig iron weight, and it has no unit.

[0046] For example, first, a corresponding weight coefficient can be assigned according to the degree of influence of each parameter on the hearth activity; then the measured value of each parameter is multiplied by its corresponding weight coefficient, and then all weighted parameter values ​​are added together; finally, the sum obtained by the above calculation is the blast furnace hearth activity index.

[0047] Through the implementation of the above embodiments, more refined parameters such as wind speed kinetic energy, furnace flow, furnace temperature and slag-iron ratio are added, so that the activity index can more accurately reflect the real-time status of the furnace and improve dynamic adaptability; and more detailed data coverage can be applicable to different blast furnace scales, raw material conditions and operating conditions, enhancing the applicability and robustness of the method.

[0048] In some embodiments, the aforementioned weighted summation of the amount of coke blocks entering the furnace, the amount of coke dices entering the furnace, the amount of coal, the net air volume, the air temperature, the pressure difference, the kinetic energy of wind speed, the flow rate of the furnace, the temperature of the furnace, the gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average particle size of coke to obtain the blast furnace hearth activity index may include: substituting the amount of coke blocks entering the furnace, the amount of coke dices entering the furnace, the coal, the net air volume, the air temperature, the pressure difference, the kinetic energy of wind speed, the flow rate of the furnace, the temperature of the furnace, the gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average particle size of coke into the activity index calculation function to obtain the blast furnace hearth activity index, wherein the activity index calculation function is:

[0049] z=a1×(x1+x2)+a2×x3+a3×x4+a4×x5+a5×x6+a6×x7+a7

[0050] ×(x8×x9)+a8×x 10 +a9×x 11 +a 10 × 12 +a 11 × 13 +a 12

[0051] ×y1+a 13 ×y2+a 14 ×y3+a 15 ×y4+a 16 ×y5 2

[0052] In the formula, z is the activity index of the blast furnace hearth, x1 is the amount of coke entering the furnace, x2 is the amount of coke entering the furnace, x3 is the amount of coal, x4 is the net air volume, x5 is the air temperature, x6 is the pressure difference, x7 is the wind speed kinetic energy, x8 is the hearth flow rate, x9 is the hearth temperature, x10 is the gas utilization rate, x 11 is the silicon content, x 12 is the magnesium-aluminum ratio, x 13 is the slag-iron ratio, y1 is the coke ash content, y2 is the coke crushing strength index, y3 is the coke reactivity index, y4 is the coke post-reaction strength index, y5 is the coke average particle size, y5 2 is the square of the average particle size of the coke; the value range of a1 is [-0.08, -0.01], the value range of a2 is [-0.50, -0.01], the value range of a3 is [-0.08, -0.01], the value range of a4 is [-0.30, -0.01], the value range of a5 is [60.00, 260.00], the value range of a6 is [-0.08, 0.00], the value range of a7 is [0, 0.01], the value range of a8 is [640.00, 850.00], the value range of a9 is [-60.00, -25.00], and the value range of a 10 The value range is [-93.00,-54.00], a 11 The value range is [0.0,1.5], a 12 The value range is [-41.00,-10.00], a 13 The value range of a is [-45.00,-15.00], 14 The value range of a is [2.50,4.70], 15 The value range of a is [2.50,4.70], 16 The value range is [-0.80,-0.01].

[0053] Specifically, if the sum of the amount of coke blocks and coke pieces entering the furnace (i.e. the total amount of coke entering the furnace) is too high, it may lead to uneven heat distribution in the furnace or reduced combustion efficiency, affecting activity, so the value range of a1 is [-0.08, -0.01]; if the amount of coal is too much, it may lead to reduced combustion efficiency, and if it is too little, the heat supply will be insufficient, affecting activity, so the value range of a1 is [-0.50, -0.01]; if the net air volume is too high, it may lead to incomplete combustion, affecting activity, so the value range of a1 is [-0.08, -0.01]; if the wind temperature is too high, it may destroy the fluidity of slag or cause the generation of overheating areas, affecting activity, so the value range of a1 is [-0.50, -0.01]. The value range is [-0.30, -0.01]; proper pressure difference helps to maintain the gas flow and combustion state in the furnace, and has a significant impact on activity, so the value range of a1 is [60.00, 260.00]; excessive wind speed kinetic energy may cause the furnace state to be unstable and affect activity, so the value range of a1 is [-0.08, 0.00]; the interaction term between furnace flow and temperature reflects the synergistic effect of combustion and slag flow, affecting activity, so the value range of a1 is [0, 0.01]; gas utilization rate is an important driving factor of activity, which directly affects reaction efficiency and energy utilization, so the value range of a1 is is [640.00,850.00]; Too high silicon content will reduce the fluidity of slag iron, thus having an adverse effect on activity, so the value range of a1 is [-60.00,-25.00]; The imbalance of magnesium-aluminum ratio will destroy the performance of slag iron and the heat balance in the furnace, affecting activity, so the value range of a1 is [-93.00,-54.00]; The slag-iron ratio can moderately optimize the ratio of slag layer to molten iron, maintain the stability of slag iron flow, and affect activity, so the value range of a1 is [0.0,1.5]; Too high coke ash content may reduce combustion efficiency and slag iron fluidity, affecting activity, so the value range of a1 is [-41.00,-10.00]; Insufficient coke resistance to breakage may cause coke to decompose too quickly, affecting combustion stability and activity, so the value range of a1 is [-45.00,-15.00]; The higher the coke reactivity, the faster the combustion rate, which helps to improve activity, so the value range of a1 is [2.50,4.70]; The higher the intensity of coke after reaction, the more stable the combustion in the furnace and the higher the activity, so the value range of a1 is [2.50,4.70]; Too large an average particle size of coke may lead to incomplete combustion and affect activity, so the value range of a1 is [-0.80,-0.01].

[0054] Through the implementation of the above embodiment, reasonable weighted summation and quadratic term design are used to quantify the correlation and importance between different variables, ensuring the scientificity and accuracy of the evaluation; and by clarifying the weight range, the user is allowed to adjust the weight value according to actual conditions, thereby improving the flexibility and applicability of the method.

[0055] In some embodiments, the aforementioned step 101 may include: obtaining blast furnace operation data of the target blast furnace hearth on the current day and coke characteristic data of the Nth day before the current day, wherein N is an integer greater than 4 and less than 46.

[0056] Specifically, the blast furnace operation data of the day refers to the data related to the blast furnace operation collected on a specific date (i.e., "the day"), including various operating parameters of the blast furnace in one day. These data reflect the real-time operating status of the blast furnace on that day and are very important for evaluating the activity of the furnace; the coke characteristic data of the Nth day before the day refers to the coke characteristic data collected Nth day before "the day". These data can be used to evaluate the quality of coke, which has an important impact on the blast furnace smelting process. N is an integer greater than 4 and less than 46, which represents the number of days calculated back from "the day"; if N=5, it refers to the coke characteristic data of the fifth day before "the day".

[0057] It should be noted that since coke characteristics have a lagging effect on the furnace state, the time lag range between blast furnace operation indicators and coke characteristic indicators can be set to 5 to 45 days based on factors such as the size of the blast furnace and the burden system; that is, the blast furnace operation indicators of the day are used in the calculation, and analyzed in combination with the coke characteristic indicators of a certain day 5 to 45 days in advance.

[0058] Through the implementation of the above embodiment, by obtaining the blast furnace operation data of the day and the historical coke characteristics data, it is possible to better reflect the lagging effect of coke characteristics on the furnace state and improve the accuracy of activity assessment; and, the reasonable selection of the time span of historical data (N value is greater than 4 and less than 46) ensures the representativeness and balance of the data.

[0059] In some embodiments, the aforementioned step 103 may include: when the blast furnace hearth activity index is less than or equal to a first index, determining that the hearth activity level of the target blast furnace hearth is level one active; when the blast furnace hearth activity index is greater than the first index and less than or equal to the second index, determining that the hearth activity level of the target blast furnace hearth is level two active, wherein the second index is greater than the first index; when the blast furnace hearth activity index is greater than the second index and less than or equal to a third index, determining that the hearth activity level of the target blast furnace hearth is level three active, wherein the third index is greater than the second index; when the blast furnace hearth activity index is greater than the third index, determining that the hearth activity level of the target blast furnace hearth is level four active.

[0060] Specifically, the first index, the second index and the third index are thresholds for dividing the activity level of the blast furnace hearth, corresponding to the cutoff values ​​of the hearth activity index respectively, and the first index < the second index < the third index;

[0061] Level 1 activity indicates that the furnace hearth activity is at the lowest level, the furnace hearth activity is poor, the furnace hearth state is abnormal, the metallurgical reaction efficiency is significantly reduced, and it cannot meet production needs. It is necessary to immediately adjust the operating parameters, such as increasing the air volume, optimizing the coke quality, and improving combustion and heat distribution; Level 2 activity indicates that the furnace hearth activity is poor and the furnace condition is on the verge of abnormality. Improvement measures must be taken in advance to optimize the fuel characteristics or adjust the operating parameters to prevent further deterioration of the furnace hearth state; Level 3 activity indicates that the furnace hearth activity is general and the furnace condition is normal. It is necessary to continue to maintain the existing operating strategy and make small optimizations to further improve the activity and efficiency; Level 4 activity indicates that the furnace hearth activity is good and the furnace condition is excellent. It is necessary to pay attention to prevent excessive activity from causing equipment overheating or excessive slag flow, and appropriate monitoring should be carried out to maintain a stable and excellent state.

[0062] Through the implementation of the above embodiment, the activity index classification (level one to level four activity) can intuitively reflect the furnace state, which is convenient for the operator to quickly understand the furnace activity level and make adjustments, so that the method can adapt to the operating characteristics of different blast furnaces and effectively guide the optimization strategy.

[0063] In some embodiments, the first index, the second index and the third index respectively correspond to the first quartile, the second quartile and the third quartile of the historical activity index mean, wherein the historical activity index mean is the daily average of the blast furnace hearth activity index of the target blast furnace hearth within a preset historical time length, and the preset historical time length is greater than or equal to one year.

[0064] Specifically, the first index refers to the value corresponding to the first quartile in the distribution of the mean value of the historical activity index; the second index refers to the value corresponding to the second quartile in the distribution of the mean value of the historical activity index; the third index refers to the value corresponding to the third quartile in the distribution of the mean value of the historical activity index. The mean value of the historical activity index refers to the daily average value of the blast furnace hearth activity index of the target blast furnace hearth within the preset historical time period, that is, it is the average value obtained by summing up the daily activity index within this time period and dividing it by the number of days. The preset historical time period is the time period considered when calculating the mean value of the historical activity index.

[0065] For example, taking a blast furnace as an example, the average values ​​of the blast furnace operation data and coke characteristics data for the past year are as follows: the total coke quantity (the sum of the coke blocks and coke pieces) is 340.00 kg, the coal quantity is 160.00 kg, and the net air volume reaches 7400.00 m3 per ton of hot iron (m 3 / tHM), wind temperature is 1200.00℃, pressure difference is 1.90 kilopascals (KPa), wind speed kinetic energy is 13,000.00 kilograms per second (kg·m / s), furnace flow rate is 8200.00 cubic meters per hour (m 3 / h), the furnace temperature is 1500.00℃, the gas utilization rate is 0.48, the silicon content ([Si]) is 0.33, the magnesium-aluminum ratio (MgO / Al2O3) is 0.50, the slag-iron ratio is 249.00, the coke ash content is 12.00%, the coke crushing strength index (M10) is 5.41%, the coke reactivity index (CRI) is 20.00%, the coke post-reaction strength index (CSR) is 69.90%, and the average coke particle size is 60.57 millimeters (mm). According to the calculation of the blast furnace hearth activity index provided in the embodiment of the present application, the average daily blast furnace hearth activity index of the blast furnace in the past year is 230.69, which belongs to the state of poor hearth activity and the furnace condition is on the verge of abnormality.

[0066] According to the blast furnace hearth activity (HACT) index proposed in the embodiment of the present application, the daily average value of the hearth activity of the blast furnace is calculated, such as Figure 2 As shown, through historical data calibration, the first index α=200, the second index β=235, and the third index γ=255 are determined. Based on this, the activity level is divided into: Day 1 to Day 150: The activity of the furnace hearth is basically at the normal level or excellent level, with only occasional abnormal or abnormal conditions; Day 150 to Day 166: The activity shows a downward trend, and enters the abnormal / abnormal state around the 166th day; Day 271 to Day 361: The activity further deteriorates, basically in an abnormal state, with only a slight improvement in a few days, showing an abnormal state; After Day 361: The activity of the furnace hearth has improved, and the overall state has returned to the level of being on the verge of abnormality. The results are compared and analyzed with the average daily output and furnace core temperature of the blast furnace. The results are as follows Figure 3 and Figure 4 As shown; the calculation results show that the development trend of the hearth activity is basically consistent with the output and core temperature changes of the blast furnace. The above analysis shows that the blast furnace hearth activity (HACT) index calculated in the embodiment of the present application can accurately reflect the changing trend of the blast furnace hearth activity and provide a reliable basis for production adjustment.

[0067] Through the implementation of the above embodiment, the activity classification is used to set thresholds based on the statistics (quartiles) of historical data to ensure that the classification standards have a statistical basis, thereby improving the scientific nature and stability of the evaluation; and based on historical data analysis for more than one year, it can provide a reliable reference for the long-term operation management and process improvement of the blast furnace, and enhance the ability to predict the state of the furnace.

[0068] Furthermore, as an implementation of the aforementioned method embodiment, the present application also provides a furnace activity determination device for implementing the aforementioned method embodiment. The device embodiment corresponds to the aforementioned method embodiment. For ease of reading, the present furnace activity determination device embodiment will no longer repeat the details of the aforementioned method embodiment one by one, but it should be clear that the device in the present application embodiment can correspond to and implement all the contents of the aforementioned method embodiment. Figure 5 As shown, the hearth activity determination device 20 includes: a data acquisition unit 201, an index determination unit 202 and an activity determination unit 203, wherein the data acquisition unit 201 is used to acquire blast furnace operation data and coke characteristic data of the target blast furnace hearth; the index determination unit 202 is used to determine the blast furnace hearth activity index according to the blast furnace operation data and the coke characteristic data; the activity determination unit 203 is used to determine the hearth activity level of the target blast furnace hearth according to the blast furnace hearth activity index.

[0069] In some embodiments, blast furnace operation data include the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the amount of coal, the net air volume, the wind temperature, the pressure difference, the gas utilization rate, the silicon content and the magnesium-aluminum ratio; the coke characteristic data include the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average coke particle size; the index determination unit 202 is also used to perform weighted summation on the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the amount of coal, the net air volume, the wind temperature, the pressure difference, the gas utilization rate, the silicon content, the magnesium-aluminum ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average coke particle size to obtain the blast furnace hearth activity index.

[0070] In some embodiments, the blast furnace operation data also includes wind speed kinetic energy, furnace flow rate and furnace temperature; the coke characteristic data also includes slag-iron ratio; the index determination unit 202 is also used to perform weighted summation on the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the amount of coal, the net air volume, the wind temperature, the pressure difference, the wind speed kinetic energy, the furnace flow rate, the furnace temperature, the gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the coke average particle size to obtain the blast furnace hearth activity index.

[0071] In some embodiments, the index determination unit 202 is further used to substitute the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the amount of coal, the net air volume, the air temperature, the pressure difference, the kinetic energy of wind speed, the furnace flow rate, the furnace temperature, the coal gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average particle size of the coke into the activity index calculation function to obtain the blast furnace hearth activity index, wherein the activity index calculation function is:

[0072] z=a1×(x1+x2)+a2×x3+a3×x4+a4×x5+a5×x6+a6×x7+a7

[0073] ×(x8×x9)+a8×x 10 +a9×x 11 +a 10 × 12 +a 11 × 13 +a 12

[0074] ×y1+a 13 ×y2+a 14 ×y3+a 15 ×y4+a 16 ×y5 2

[0075] In the formula, z is the activity index of the blast furnace hearth, x1 is the amount of coke entering the furnace, x2 is the amount of coke entering the furnace, x3 is the amount of coal, x4 is the net air volume, x5 is the air temperature, x6 is the pressure difference, x7 is the kinetic energy of wind speed, x8 is the hearth flow rate, x9 is the hearth temperature, and x 10 is the gas utilization rate, x 11 is the silicon content, x 12 is the magnesium-aluminum ratio, x 13 is the slag-iron ratio, y1 is the coke ash content, y2 is the coke crushing strength index, y3 is the coke reactivity index, y4 is the coke strength index after reaction, and y5 is the average particle size of coke; the value range of a1 is [-0.08,-0.01], the value range of a2 is [-0.50,-0.01], the value range of a3 is [-0.08,-0.01], the value range of a4 is [-0.30,-0.01], the value range of a5 is [60.00,260.00], the value range of a6 is [-0.08,0.00], the value range of a7 is [0,0.01], the value range of a8 is [640.00,850.00], the value range of a9 is [-60.00,-25.00], and the value range of a 10 The value range is [-93.00,-54.00], a 11 The value range is [0.0,1.5], a 12 The value range is [-41.00,-10.00], a 13 The value range of a is [-45.00,-15.00], 14 The value range of a is [2.50,4.70], 15 The value range of a is [2.50,4.70], 16 The value range is [-0.80,-0.01].

[0076] In some embodiments, the data acquisition unit 201 is further used to acquire the blast furnace operation data of the target blast furnace hearth on the current day and the coke characteristic data of the Nth day before the current day, where N is an integer greater than 4 and less than 46.

[0077] In some embodiments, the activity determination unit 203 is also used to determine that the target blast furnace hearth's hearth activity level is level one activity when the blast furnace hearth activity index is less than or equal to a first index; to determine that the target blast furnace hearth's hearth activity level is level two activity, wherein the second index is greater than the first index, when the blast furnace hearth activity index is greater than the first index and less than or equal to a second index; to determine that the target blast furnace hearth's hearth activity level is level three activity, wherein the third index is greater than the second index, when the blast furnace hearth activity index is greater than the second index and less than or equal to a third index; and to determine that the target blast furnace hearth's hearth activity level is level four activity.

[0078] In some embodiments, the first index, the second index and the third index respectively correspond to the first quartile, the second quartile and the third quartile of the historical activity index mean, wherein the historical activity index mean is the daily average of the blast furnace hearth activity index of the target blast furnace hearth within a preset historical time length, and the preset historical time length is greater than or equal to one year.

[0079] The present application also provides a computer-readable storage medium, which stores computer-executable instructions or computer programs. When the computer-executable instructions or computer programs are executed by a processor, the processor will be caused to execute any step of the furnace activity determination method provided in the present application.

[0080] In some embodiments, the computer-readable storage medium may be a memory such as RAM, read-only memory (ROM), flash memory, magnetic surface memory, optical disk, or compact disc read-only memory (CD-ROM); or it may be various devices including one or any combination of the above memories.

[0081] In some embodiments, computer executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0082] In some embodiments, computer-executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file storing other programs or data, for example, in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).

[0083] In some embodiments, computer executable instructions may be deployed to be executed on one electronic device, or on multiple electronic devices located at one site, or on multiple electronic devices distributed at multiple sites and interconnected by a communication network.

[0084] like Figure 6 As shown, the present application also provides an electronic device 30, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor, and when the processor 320 executes the computer program 311, any step of the above-mentioned furnace activity determination method is implemented.

[0085] The present application also provides a computer program product, which includes a computer program or a computer executable instruction, and the computer program or the computer executable instruction is stored in a computer readable storage medium. The processor of the electronic device reads the computer program or the computer executable instruction from the computer readable storage medium, and the processor executes the computer program or the computer executable instruction, so that the electronic device performs any step of the furnace activity determination method described above in the present application.

[0086] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for determining furnace activity, characterized in that: include: Acquire blast furnace operation data and coke characteristic data of a target blast furnace hearth; Determining a blast furnace hearth activity index based on the blast furnace operation data and the coke characteristic data; The hearth activity level of the target blast furnace hearth is determined according to the blast furnace hearth activity index.

2. The method for determining furnace activity according to claim 1, characterized in that: The blast furnace operation data include the amount of coke blocks fed into the furnace, the amount of coke dices fed into the furnace, the amount of coal, the net air volume, the air temperature, the pressure difference, the coal gas utilization rate, the silicon content and the magnesium-aluminum ratio; the coke characteristic data include the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average coke particle size; Determining the blast furnace hearth activity index according to the blast furnace operation data and the coke characteristic data comprises: The blast furnace hearth activity index is obtained by taking a weighted sum of the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the coal amount, the net air volume, the wind temperature, the pressure difference, the coal gas utilization rate, the silicon content, the magnesium-aluminum ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the coke average particle size.

3. The method for determining furnace activity according to claim 2, characterized in that: The blast furnace operation data also includes wind speed kinetic energy, furnace flow and furnace temperature; the coke characteristic data also includes slag-iron ratio; The weighted sum of the amount of coke blocks fed into the furnace, the amount of coke pieces fed into the furnace, the amount of coal, the net air volume, the air temperature, the pressure difference, the coal gas utilization rate, the silicon content, the magnesium-aluminum ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the coke average particle size is performed to obtain the blast furnace hearth activity index, including: The weighted sum of the amount of coke blocks entering the furnace, the amount of coke pieces entering the furnace, the amount of coal, the net air volume, the wind temperature, the pressure difference, the kinetic energy of wind speed, the hearth flow, the hearth temperature, the coal gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average coke particle size is taken to obtain the blast furnace hearth activity index.

4. The method for determining furnace activity according to claim 3, characterized in that: The weighted sum of the amount of coke blocks fed into the furnace, the amount of coke pieces fed into the furnace, the amount of coal, the net air volume, the air temperature, the pressure difference, the kinetic energy of wind speed, the hearth flow, the hearth temperature, the coal gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the coke average particle size is performed to obtain the blast furnace hearth activity index, including: Substitute the amount of coke blocks fed into the furnace, the amount of coke pieces fed into the furnace, the amount of coal, the net air volume, the air temperature, the pressure difference, the kinetic energy of wind speed, the hearth flow rate, the hearth temperature, the coal gas utilization rate, the silicon content, the magnesium-aluminum ratio, the slag-iron ratio, the coke ash content, the coke crushing strength index, the coke reactivity index, the coke post-reaction strength index and the average coke particle size into the activity index calculation function to obtain the blast furnace hearth activity index, wherein the activity index calculation function is: z=a1×(x1+x2)+a2×x3+a3×x4+a4×x5+a5×x6+a6×x7+a7 ×(x8×x9)+a8×x 10 +a9×x 11 +a 10 ×x 12 +a 11 ×x 13 +a 12 ×y1+a 13 ×y2+a 14 ×y3+a 15 ×y4+a 16 ×y5 2 In the formula, z is the activity index of the blast furnace hearth, x1 is the amount of coke entering the furnace, x2 is the amount of coke entering the furnace, x3 is the amount of coal, x4 is the net air volume, x5 is the air temperature, x6 is the pressure difference, x7 is the wind speed kinetic energy, x8 is the hearth flow rate, x9 is the hearth temperature, x 10 is the gas utilization rate, x 11 is the silicon content, x 12 is the magnesium-aluminum ratio, x 13 is the slag-iron ratio, y1 is the coke ash content, y2 is the coke crushing strength index, y3 is the coke reactivity index, y4 is the coke post-reaction strength index, and y5 is the average particle size of the coke; the value range of a1 is [-0.08, -0.01], the value range of a2 is [-0.50, -0.01], and the value range of a3 is [-0.08, -0.0 1], a4 ranges from [-0.30, -0.01], a5 ranges from [60.00, 260.00], a6 ranges from [-0.08, 0.00], a7 ranges from [0, 0.01], a8 ranges from [640.00, 850.00], a9 ranges from [-60.00, -25.00], a 10 The value range is [-93.00,-54.00], a 11 The value range is [0.0,1.5], a 12 The value range is [-41.00,-10.00], a 13 The value range of a is [-45.00,-15.00], 14 The value range of a is [2.50,4.70], 15 The value range of a is [2.50,4.70], 16 The value range is [-0.80,-0.01].

5. The method for determining furnace activity according to any one of claims 1 to 4, characterized in that: The step of obtaining the blast furnace operation data and coke characteristic data of the target blast furnace hearth includes: The blast furnace operation data of the target blast furnace hearth on the current day and the coke characteristic data of the Nth day before the current day are obtained, wherein N is an integer greater than 4 and less than 46.

6. The method for determining furnace activity according to any one of claims 1 to 4, characterized in that: Determining the hearth activity level of the target blast furnace hearth according to the blast furnace hearth activity index comprises: When the blast furnace hearth activity index is less than or equal to the first index, determining the hearth activity level of the target blast furnace hearth to be level one activity; When the blast furnace hearth activity index is greater than the first index and less than or equal to a second index, determining that the hearth activity level of the target blast furnace hearth is level 2 activity, wherein the second index is greater than the first index; When the blast furnace hearth activity index is greater than the second index and less than or equal to a third index, determining that the hearth activity level of the target blast furnace hearth is level three activity, wherein the third index is greater than the second index; When the blast furnace hearth activity index is greater than the third index, it is determined that the hearth activity level of the target blast furnace hearth is level four activity.

7. The method for determining furnace activity according to claim 6, characterized in that: The first index, the second index and the third index correspond to the first quartile, the second quartile and the third quartile of the historical activity index mean, respectively, wherein the historical activity index mean is the daily average of the blast furnace hearth activity index of the target blast furnace hearth within a preset historical time period, and the preset historical time period is greater than or equal to one year.

8. A furnace activity determination device, characterized in that: include: A data acquisition unit, used to acquire blast furnace operation data and coke characteristic data of a target blast furnace hearth; An index determination unit, for determining a blast furnace hearth activity index according to the blast furnace operation data and the coke characteristic data; The activity determination unit is used to determine the hearth activity level of the target blast furnace hearth according to the blast furnace hearth activity index.

9. An electronic device, comprising: A memory and a processor, wherein the processor is configured to implement the steps of the furnace activity determination method according to any one of claims 1 to 7 when executing a computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the furnace activity determination method according to any one of claims 1 to 7 are implemented.