An adaptive calculation method for scrap steel recovery rate based on furnace information

Abstract

This invention discloses an adaptive calculation method for scrap steel yield based on furnace batch information, belonging to the field of converter steelmaking technology. This invention considers factors such as steel output, molten iron output, ore output, alloy addition, the sum of various types of scrap steel addition, molten iron yield, ore yield, alloy yield, and furnace condition fluctuation coefficient. It selects the most recent historical furnace batches and calculates the scrap steel yield for each type based on historical furnace batch information. Finally, the scrap steel yield for the current furnace batch is a weighted sum of the scrap steel yield calculated based on historical furnace batch information and the original scrap steel yield for each type. This adaptive update calculation of scrap steel yield based on furnace batch information solves the problem of large calculation error fluctuations caused by actual scrap steel yield fluctuations in existing material calculation processes, improving material calculation efficiency and accuracy, and reducing the operational difficulty for operators.

Description

Technical Field

[0001] This invention belongs to the field of converter smelting technology, and more specifically, relates to an adaptive calculation method for scrap steel recovery rate based on furnace information. Background Technology

[0002] Converter steelmaking is one of the main steelmaking processes currently available. It involves charging the converter with molten iron, scrap steel, and slag-forming materials, and then blowing oxygen into the converter through an oxygen lance at the top. The oxygen reacts with the molten iron and slag-forming materials through oxidation, thereby raising the temperature of the molten metal pool, reducing carbon in the molten iron, and removing harmful elements such as sulfur and phosphorus. During converter smelting, clearly defining the heat balance within the furnace is fundamental to improving the accuracy of static and dynamic control during the smelting process. The core of the heat balance within the converter during smelting lies in the material and heat balance maintained among the various materials participating in the reaction within the furnace.

[0003] Currently, the scrap steel recovery rate used in calculating the material balance and heat balance in the converter is mainly based on laboratory hot-state experiments. However, in the actual production process of the converter, different types of scrap steel vary under different furnace conditions and process conditions. This leads to a large deviation between the material balance and heat balance and the actual situation, affecting the accuracy of the converter's static control.

[0004] A search revealed Chinese patent application number 202210008828, filed on January 6, 2022, entitled "A Method for Batching Scrap Steel in Converter Smelting." The method includes: constructing a relationship between the yield and cooling effect of different types of scrap steel based on the scrap steel recovery rate and the corresponding cooling effect; constructing a model equation for the converter smelting waste heat temperature, the scrap steel addition ratio and its corresponding cooling effect, as well as the total amount of scrap steel added, and constructing a relationship function between the addition amount of different types of scrap steel and the total amount of scrap steel added; selecting the type of scrap steel and its addition ratio, and obtaining the corresponding cooling effect of the scrap steel type through the relationship equation; then, based on the corresponding cooling effect and addition ratio of the scrap steel, and the converter smelting waste heat temperature, obtaining the total amount of scrap steel added through the model equation, and obtaining the addition amount of different types of scrap steel through the relationship function. While this application's technical solution can improve the scientific accuracy of the addition amount of different types of scrap steel to a certain extent through a scientific batching method, it cannot update the scrap steel recovery rate in a timely manner to respond to the impact of changes in the scrap steel recovery rate on the scrap steel ratio. Summary of the Invention

[0005] 1. The problem to be solved

[0006] The purpose of this invention is to overcome the shortcomings of existing scrap steel recovery rates that cannot adapt to changes in the actual production process of converters. This invention innovatively proposes an adaptive calculation method for scrap steel recovery rate based on furnace information, which realizes adaptive updating of scrap steel recovery rate when performing material balance and heat balance.

[0007] 2. Technical Solution

[0008] To solve the above problems, the technical solution adopted by the present invention is as follows:

[0009] The present invention provides an adaptive calculation method for scrap steel recovery rate based on furnace batch information, which specifically includes the following steps:

[0010] Step 1: Collect historical furnace production data of the converter smelting process to determine the furnace information of multiple historical furnaces;

[0011] Step 2: Based on the furnace information of multiple historical furnaces, calculate the actual scrap steel recovery rate for different historical furnaces; the calculated actual scrap steel recovery rate does not distinguish between the types of scrap steel, but is the overall recovery rate after adding all scrap steel in different furnaces.

[0012] Step 3: Based on the furnace information of multiple historical furnaces, obtain the recovery rate equations for each type of scrap steel in different historical furnaces. At this time, the recovery rate of each type of scrap steel is unknown. By using the furnace information of multiple historical furnaces (i.e., relevant production data), construct a set of equations for the recovery rate of each type of scrap steel.

[0013] Step 4: Combine the equations for the recovery rate of various types of scrap steel from multiple historical heats to calculate the recovery rate of various types of scrap steel from each historical heat. The recovery rate of various types of scrap steel calculated at this time is a value that does not distinguish between heats, but is actually a comprehensive value obtained by combining the equations for multiple historical heats.

[0014] Step 5: Calculate the scrap recovery rate of each type of scrap in the current heat based on the historical scrap recovery rates of each heat.

[0015] As a further improvement of the present invention, in step one, the production data collected includes the amount of molten iron added, the amount of various types of scrap steel added, the amount of ore added, the amount of alloy added, the amount of steel produced, the molten iron recovery rate, the ore recovery rate, and the alloy recovery rate during the converter smelting process.

[0016] In step two, the formula for calculating the actual scrap steel recovery rate for different historical heats is as follows:

[0017]

[0018] in, The actual scrap steel recovery rate for the i-th heat. and These represent the total amount of steel tapped, molten iron added, ore added, alloy added, and scrap steel added, respectively, in tons (t); 'a' is the furnace condition fluctuation coefficient, with a value ranging from 0.5 to 2.0.

[0019] It should be noted that during the converter smelting process, the converter conditions vary significantly between different heats due to the influence of process conditions and operational levels. Specifically, this manifests in converter splashing, slag iron loss, and other aspects. Based on the smelting conditions of each historical heat, the smelting operation level is quantified and correlated with the amount of molten iron added and the molten iron yield, which is represented by the furnace condition fluctuation coefficient 'a'. The value of the furnace condition fluctuation coefficient 'a' ranges from 0.5 to 2.0, with the optimal range being 0.85 to 1.15. The more stable the converter smelting, the fewer unstable factors such as converter splashing and slag iron loss, and the larger the value of the furnace condition fluctuation coefficient.

[0020] Using the formula in step two, the actual scrap steel recovery rate for each historical heat can be calculated.

[0021] As a further improvement of the present invention, the method for obtaining the recovery rate equations of various types of scrap steel for historical heats in step three is as follows:

[0022] Let the matrix of the proportion of each type of scrap steel added in the i-th heat be represented as α. () The recovery rate of each type of scrap steel in the i-th heat is expressed as y. () The details are as follows:

[0023]

[0024]

[0025] in, It is the ratio of the amount of the nth type of scrap steel added in the i-th heat to the total amount of scrap steel added in the corresponding heat. Let n be the yield of the nth type of scrap steel in the i-th heat.

[0026] Then, the formulas for calculating the actual scrap steel recovery rate of historical heats, the matrix of the proportion of each type of scrap steel added in the i-th heat, and the scrap steel recovery rate of each type in the i-th heat are established, as follows:

[0027]

[0028] The equations for the recovery rate of various types of scrap steel from historical furnace cycles were obtained.

[0029] As a further improvement of the present invention, in step four, n historical furnaces are selected, and the actual scrap steel recovery rate of each historical furnace is calculated based on the production data of the corresponding furnace in the converter smelting process; then, the scrap steel recovery rate equations of each type of historical furnace are calculated based on the actual amount of each type of scrap steel added in each historical furnace.

[0030] Then, by combining the equations for the recovery rate of each type of scrap steel in the n historical heats obtained in step three, a set of equations for the actual recovery rate of each type of scrap steel is obtained. Solving the set of equations yields the recovery rate of each type of scrap steel in the historical heats.

[0031] As a further improvement of the present invention, in step five, based on the scrap steel recovery rates of various types from historical heats (these rates are comprehensive values ​​derived from data from multiple selected historical heats, rather than values ​​derived from a single historical heat), the scrap steel recovery rates of various types for the current heat (i.e., the heat to be tested) are calculated, specifically as follows:

[0032] In the laboratory, using existing conventional methods, the initial yield of different types of scrap steel can be measured separately. The measured values ​​can be used as guides for solving the yield of each type of scrap steel in the current heat. By combining the initial yields of each type of scrap steel in the current heat, the initial yield matrix of each type of scrap steel in the current heat is obtained as y. (0) The yield y of each type of scrap steel in the current heat is calculated by weighting. new :

[0033] y new =y (0) +m(y (i) -y (0) )

[0034] Where m is the weighted correction coefficient, and the value of m ranges from 0 to 1.

[0035] It is worth noting that, in order to ensure the timeliness of the dynamic calculation of the recovery rate of various types of scrap steel, and at the same time to avoid the interference of abnormal heats on the calculation results and ensure the rationality of the final calculation results, a weighted correction coefficient m is introduced in the calculation of the recovery rate of various types of scrap steel in this invention. The value range of the weighted correction coefficient m is 0 to 1, preferably 0.55 to 0.75. When the difference between the recovery rate of various types of scrap steel in historical heats and the recovery rate of various types of scrap steel measured in the laboratory is greater, the weighted correction coefficient m is smaller, thereby avoiding excessive adjustment of the original recovery rate.

[0036] Furthermore, through extensive experimental verification and analysis of massive amounts of experimental data, considering different furnace conditions and processes, the applicant, in order to more accurately achieve dynamic adjustment and adaptive updating of the recovery rate of various types of scrap steel, adopted a method to calculate the recovery rate y of various types of scrap steel for the current furnace. new When making appropriate adjustments, the value of m must be strictly controlled:

[0037] When the difference between the historical heat recovery rate of each type of scrap steel and the laboratory-measured recovery rate of each type of scrap steel is within 0.5%, the value of m is 0.75.

[0038] When the difference between the historical heat recovery rate of each type of scrap steel and the laboratory-measured recovery rate of each type of scrap steel is between 0.5% and 2%, the value of m is between 0.7 and 0.75.

[0039] When the difference between the historical heat recovery rate of each type of scrap steel and the laboratory-measured recovery rate of each type of scrap steel is between 2% and 5%, the value of m is between 0.6 and 0.7.

[0040] When the difference between the historical heat recovery rate of each type of scrap steel and the laboratory-measured recovery rate of each type of scrap steel is between 5% and 8%, the value of m is between 0.55 and 0.6.

[0041] When the difference between the historical scrap recovery rate and the laboratory-measured scrap recovery rate is more than 8%, the value of m is 0.55.

[0042] As a further improvement of the present invention, the method for determining the historical furnace batches of multiple furnaces is as follows:

[0043] First, count the number of scrap steel types in the current heat and then look back for historical heat information to be used for calculation.

[0044] Then, construct the matrix A of scrap ratio coefficients for each type of scrap in historical heats, A = [α (1) ,α (2) ,…,α (j) ] T j represents the number of historical furnaces selected;

[0045] Finally, determine whether the historical furnace scrap ratio coefficient matrix A is full rank. If it is full rank, proceed to step four; if it is not full rank, continue searching for historical furnaces to be used for calculation until it is full rank, thus completing the selection of multiple historical furnaces.

[0046] More specifically, this invention tentatively selects the 10 most recent heats as historical heats, and selects the corresponding heats from most recent to oldest time to summarize the ratio of the amount of each type of scrap steel added to the total amount of scrap steel added in each heat, constructing a matrix A of scrap steel proportioning coefficients for each type of historical heat, expressed as the following formula:

[0047]

[0048] Where j represents the number of historical furnaces selected, the rank of the scrap steel proportioning coefficient matrix A for each type of scrap steel in the selected historical furnaces is calculated and denoted as r(A). If r(A) = r([α] (1) ,α (2) ,…,α (j) ,α ( j+ 1) ] T If the j+1th furnace is ignored, the reference furnace is searched forward, and r(A) = r([α)). (1) ,α(2) ,…,α (j) ,α (j+2) ] T The process continues until the updated r(A) = n. If r(A) = n is not achieved in the current 10 furnaces, the process continues to advance 10 furnaces until r(A) = n, at which point the selection of multiple historical furnaces is completed.

[0049] 3. Beneficial effects

[0050] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0051] The present invention provides an adaptive calculation method for scrap steel recovery rate based on furnace information. By introducing a furnace condition fluctuation coefficient, the method quantifies the unstable factors that have a significant impact on smelting in each historical furnace, thereby improving the calculation accuracy of the actual scrap steel recovery rate of historical furnaces.

[0052] Meanwhile, through adaptive calculation of scrap steel recovery rate, the scrap steel recovery rate involved in the converter balance calculation can be dynamically calculated, and timely response can be given when the scrap steel recovery rate in the furnace changes. This reduces the disturbance of actual recovery rate changes on heat balance and improves the accuracy of material balance and heat balance calculation in the converter.

[0053] In addition, the calculation method of the present invention can be applied to existing calculation models, thereby enabling automatic calculation of material balance and heat balance in the converter, improving the reliability and calculation efficiency of the model, and significantly reducing the labor intensity of workers. Attached Figure Description

[0054] Figure 1 This is a flowchart of an adaptive calculation method for scrap steel recovery rate based on furnace information according to the present invention. Detailed Implementation

[0055] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0056] The present invention will be further described below with reference to specific embodiments.

[0057] Example 1

[0058] This embodiment of the adaptive calculation method for scrap steel recovery rate based on furnace batch information includes the following steps:

[0059] Step 1: Obtain the historical production data of the most recent 10 heats of a 120t converter in a certain factory.

[0060] Step 2: Use three types of scrap steel as examples to illustrate the point that the number of scrap steel types is three.

[0061] Step 3: From the selected 10 heats, take the production data of the 3 historical heats that are closest to the current heat to be calculated and perform the calculation.

[0062] The specific furnace information for these three furnace batches is shown in Table 1.

[0063] Table 2 shows the production data for each of the three heats, including the amount and proportion of three different types of scrap steel added.

[0064] Table 1 Historical production data for the most recent 3 furnace runs.

[0065]

[0066] Table 2. Scrap steel addition ratio data for the most recent three heats.

[0067]

[0068]

[0069] Step 4: Based on the above data, the actual scrap steel recovery rate of the most recent 3 heats is calculated as follows:

[0070]

[0071]

[0072]

[0073] Step 5: List the recovery rate equations for each type of scrap steel from the three most recent heats, as follows:

[0074] Furnace number 22114729:

[0075] Furnace number 22114728:

[0076] Furnace number 22114727:

[0077] Step Six: Simultaneously establish the equations for the recovery rates of various types of scrap steel from the three most recent historical heats, and solve for the recovery rate of each type of scrap steel, as follows:

[0078]

[0079] The solution results are as follows:

[0080]

[0081] Step 7: Based on the scrap recovery rates of each type of scrap in the most recent 3 heats, calculate the scrap recovery rates of each type of scrap in the current heat and store them in the historical database, as follows:

[0082]

[0083]

[0084]

[0085] Using the technical solution of this invention, the calculated scrap recovery rates for the three types of scrap steel in the current test furnace are 93.04%, 91.62%, and 94.51%, respectively.

[0086] The present invention has been described in detail above with reference to specific exemplary embodiments. However, it should be understood that various modifications and variations can be made without departing from the scope of the invention as defined by the appended claims. The detailed description and drawings should be considered illustrative only and not restrictive, and any such modifications and variations shall fall within the scope of the invention described herein. Furthermore, the background art is intended to illustrate the current state of development and significance of the technology and is not intended to limit the present invention or the scope of application of the present application.

[0087] More specifically, although exemplary embodiments of the invention have been described herein, the invention is not limited to these embodiments, but includes any and all embodiments modified, omitted, such as combinations between various embodiments, adaptive changes, and / or substitutions, as would be apparent to those skilled in the art from the foregoing detailed description. The limitations in the claims are to be interpreted broadly as used in the language of the claims and are not limited to the examples described in the foregoing detailed description or during the implementation of this application, which should be considered non-exclusive. Any step listed in any method or process claim may be performed in any order and is not limited to the order set forth in the claims. Therefore, the scope of the invention should be determined solely by the appended claims and their legal equivalents, and not by the description and examples given above.

[0088] Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. In case of conflict, the definitions in this specification shall prevail. When a rate, pressure, temperature, time, or other value or parameter is expressed as a range, preferred range, or a range defined by a series of upper and lower preferred values, this shall be understood to specifically disclose all ranges formed by any pair of any upper or preferred value with any lower or preferred value, regardless of whether such range is disclosed individually. For example, the range 1-50 should be understood to include any number, combination of numbers, or subrange selected from 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, or 50, as well as all decimal values ​​between the integers mentioned above, such as 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, and 1.9. Regarding subranges, specifically consider "nested subranges" extending from any endpoint of the range. For example, nested sub-ranges of the exemplary range 1-50 may include 1-10, 1-20, 1-30 and 1-40 in one direction, or 50-40, 50-30, 50-20 and 50-10 in another direction.

Claims

1. An adaptive calculation method for scrap steel recovery rate based on furnace batch information, characterized in that: Specifically, the following steps are included: Step 1: Collect historical furnace production data of the converter smelting process to determine the furnace information of multiple historical furnaces; Step 2: Calculate the actual scrap steel recovery rate for different historical heats based on the heat information of multiple heats. In step two, the formula for calculating the actual scrap steel recovery rate for different historical heats is as follows: in, The actual scrap steel recovery rate for the i-th heat. , , , and These represent the amount of steel produced, the amount of molten iron added, the amount of ore added, the amount of alloy added, and the total amount of scrap steel added, respectively, in tons (t). , and These represent the yields of molten iron, ore, and alloy, respectively; 'a' is the furnace condition fluctuation coefficient, with a value ranging from 0.5 to 2.

0. Step 3: Based on the heat information of multiple historical heats, obtain the scrap recovery rate equations for different types of scrap in different historical heats; In step three, the method for obtaining the recovery rate equations for various types of scrap steel from historical heats is as follows: Let the matrix of the proportion of each type of scrap steel added in the i-th heat be expressed as follows: The recovery rate of each type of scrap steel in the i-th heat is expressed as: The details are as follows: ； ； in, It is the ratio of the amount of the nth type of scrap steel added in the i-th heat to the total amount of scrap steel added in the corresponding heat. Let n be the yield of the nth type of scrap steel in the i-th heat. Then, the formulas for calculating the actual scrap steel recovery rate of historical heats, the matrix of the proportion of each type of scrap steel added in the i-th heat, and the scrap steel recovery rate of each type in the i-th heat are established, as follows: The equations for the recovery rate of various types of scrap steel from historical heats were obtained; Step 4: Establish equations for the recovery rates of various types of scrap steel from multiple historical heats, and calculate the recovery rates of various types of scrap steel from multiple historical heats. Step 5: Calculate the scrap recovery rate of each type of scrap in the current heat based on the historical scrap recovery rates of each heat.

2. The adaptive calculation method for scrap steel recovery rate based on furnace information according to claim 1, characterized in that: In step one, the production data collected includes the amount of molten iron added, the amount of various types of scrap steel added, the amount of ore added, the amount of alloy added, the amount of steel produced, the molten iron recovery rate, the ore recovery rate, and the alloy recovery rate during the converter smelting process.

3. The adaptive calculation method for scrap steel recovery rate based on furnace batch information according to claim 2, characterized in that: The value range of the furnace condition fluctuation coefficient 'a' is 0.85 to 1.

15.

4. The adaptive calculation method for scrap steel recovery rate based on furnace information according to any one of claims 1-3, characterized in that: In step four, by simultaneously solving the equations for the recovery rate of each type of scrap steel in the n historical heats obtained in step three, a set of equations for the recovery rate of each type of scrap steel is obtained. Solving the set of equations yields the recovery rate of each type of scrap steel in the historical heats.

5. The adaptive calculation method for scrap steel recovery rate based on furnace information according to claim 4, characterized in that: The method for determining the historical furnace batches of multiple furnaces is as follows: First, count the number of scrap steel types in the current heat and then look back for historical heat information to be used for calculation. Then, construct the matrix of scrap ratio coefficients for each type of scrap in historical furnaces. A , j represents the number of historical furnaces selected; Finally, determine the matrix of scrap ratio coefficients for each type of scrap in historical heats. A If the rank is full, proceed to step four; otherwise, continue searching forward for historical furnaces to be used for calculation until the rank is full, thus completing the selection of multiple historical furnaces.

6. The adaptive calculation method for scrap steel recovery rate based on furnace information according to claim 5, characterized in that: In step five, the recovery rates of various types of scrap steel for the current heat are calculated based on the historical recovery rates of each type of scrap steel. Specifically, the original recovery rate matrix of various types of scrap steel for the current heat, measured in the laboratory, is as follows: The yield of each type of scrap steel in the current heat is calculated by weighting. : Where m is the weighted correction coefficient, and the value of m ranges from 0 to 1.

7. The adaptive calculation method for scrap steel recovery rate based on furnace batch information according to claim 6, characterized in that: The weighted correction coefficient m ranges from 0.55 to 0.75.

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