Method and device for evaluating comprehensive performance of plate

Abstract

The embodiment of the invention provides a plate comprehensive performance evaluation method and device, and relates to the field of steel rolling, and the method comprises the steps: obtaining an index weight data table of plate indexes, determining the subjective weight of the plate indexes based on the index weight data table, determining the index data of a plate, and determining the objective weight of the plate indexes based on the index data, based on the objective weight and the subjective weight, determining a target weight of the plate index, based on the target weight and the plate index, constructing a row property collaborative evaluation model of the plate, determining rolling parameters corresponding to the plate index data, and based on the rolling parameters and the row property collaborative evaluation model of the plate, constructing a fitting function; and determining a shape collaborative evaluation index of the plate based on the fitting function. According to the method, the accuracy of determining the mobility coordination index of the plate can be improved, and the performance and the plate type of the steel can be improved based on the accurate mobility coordination evaluation index.

Description

Technical Field

[0001] The present application relates to the field of steel rolling, and more specifically, to a method and device for evaluating the comprehensive performance of plates. Background Art

[0002] Existing rolling process optimization methods mainly focus on product performance, rolling efficiency, etc., and there is little research on plate shape optimization.

[0003] Secondly, it is difficult to simultaneously achieve both steel performance and plate shape. For example, to significantly improve steel performance, rapid cooling is usually performed after rolling. However, rapid cooling can lead to uneven temperature distribution inside and outside the steel, resulting in poor plate shape. Therefore, simultaneously improving steel performance and plate shape is a difficult problem that major steel companies urgently need to solve. Summary of the Invention

[0004] The purpose of this application is to provide a method and device for evaluating the comprehensive performance of steel plates, which can improve the performance and plate shape of steel.

[0005] In order to achieve the above objectives, the technical solutions adopted in the embodiments of the present application are as follows:

[0006] In a first aspect, an embodiment of the present application provides a method for evaluating the comprehensive performance of a plate, the method comprising:

[0007] Obtaining an indicator weight data table of plate indicators, wherein the indicator weight data table represents the importance score of the plate indicators;

[0008] Determining the subjective weight of the plate index based on the index weight data table;

[0009] Determining index data of the plate;

[0010] Determining the objective weight of the plate index based on the index data;

[0011] Determining a target weight for the plate index based on the objective weight and the subjective weight;

[0012] Based on the target weight and the plate index, a performance collaborative evaluation model of the plate is constructed;

[0013] Determining rolling parameters corresponding to the plate index data;

[0014] Constructing a fitting function based on the rolling parameters and the plate performance collaborative evaluation model;

[0015] A synergistic evaluation index of the form of the plate is determined based on the fitting function.

[0016] In an optional embodiment, the step of determining the form synergy evaluation index of the plate based on the fitting function includes:

[0017] Obtaining a preset number of rolling parameter data sets from a database;

[0018] Determining a first formability synergy evaluation index corresponding to each rolling data group in the rolling parameter data set based on the fitting function;

[0019] The method further comprises:

[0020] Obtaining the largest first formability synergy evaluation index from a plurality of said first formability synergy evaluation indexes;

[0021] Determine the target rolling parameters corresponding to the maximum first formability synergy evaluation index;

[0022] The target rolling parameters are output to guide the rolling of the plate.

[0023] In an optional embodiment, the plate indicators include yield strength, impact energy, and roughness, and the indicator weight data table includes multiple importance scores corresponding to each plate indicator; the step of determining the subjective weight of the plate indicator based on the indicator weight data table includes:

[0024] Based on the indicator weight data table, respectively calculating the average values of the yield strength, impact energy and roughness;

[0025] Obtain any two mean values from the mean values of yield strength, impact energy, and roughness for comparison, obtain multiple comparison results, and determine a score corresponding to each comparison result;

[0026] Calculating the TTL value of the yield strength, the TTL value of the impact energy, and the TTL value of the roughness based on the scores of the comparison results;

[0027] The TTL value of the yield strength, the TTL value of the impact energy, and the TTL value of the roughness are normalized to obtain the subjective weight of the yield strength, the subjective weight of the impact energy, and the subjective weight of the roughness.

[0028] In an optional embodiment, the step of obtaining any two mean values from the mean value of yield strength, the mean value of impact energy, and the mean value of roughness for comparison, obtaining multiple comparison results, and determining a score corresponding to each comparison result includes:

[0029] Compare the mean value of yield strength with the mean value of impact energy;

[0030] When the average value of the yield strength is greater than the average value of the impact energy, the score corresponding to the yield strength is determined to be 1;

[0031] When the mean value of the yield strength is less than the mean value of the impact energy, the score corresponding to the yield strength is determined to be 0;

[0032] When the mean value of the yield strength is equal to the mean value of the impact energy, the score corresponding to the yield strength is determined to be 0.5, and the score corresponding to the impact energy is determined to be 0.5.

[0033] In an optional embodiment, the step of determining the objective weight of the plate index based on the index data includes:

[0034] Standardizing the index data of each plate to obtain the index data of the first plate;

[0035] determining a negative correlation coefficient of the indicator data of the first plate;

[0036] Based on each of the negative correlation coefficients, the objective weight of the plate index is determined.

[0037] In an optional embodiment, the step of determining the objective weight of the plate index based on each of the negative correlation coefficients includes:

[0038] determining the reciprocal of each of the negative correlation coefficients;

[0039] For the reciprocal of each negative correlation coefficient, a ratio of the negative correlation coefficient to the sum of the reciprocals of the negative correlation coefficients is calculated as the objective weight of the plate index.

[0040] In an optional embodiment, the target weight satisfies the following formula:

[0041] ω=α1ω 主 +α2ω 客 ;

[0042]

[0043] Among them, ω is the target weight, ω 主 is the subjective weight, ω 客 is the objective weight, α1 is the coefficient of subjective weight, and α2 is the coefficient of objective weight.

[0044] In an optional embodiment, the collaborative evaluation model of the plate material satisfies the following formula:

[0045] Q=ω1δ 屈服 +ω2J 冲击 +ω3B 不平度 ;

[0046] Among them, Q is the performance synergy evaluation index of the plate, ω1 is the target weight of yield strength, ω2 is the target weight of impact energy, and ω3 is the target weight of roughness.

[0047] In an optional embodiment, the rolling parameters include initial rolling temperature, final rolling speed, average reduction ratio of the first three passes, and thickness at temperature;

[0048] The fitting function satisfies the following formula:

[0049]

[0050] Among them, Q is the plate performance synergy evaluation index, x1 is the initial rolling temperature, x2 is the final rolling speed, x3 is the average reduction rate of the first three passes, and x4 is the waiting thickness.

[0051] In a second aspect, an embodiment of the present application provides a device for evaluating the comprehensive performance of a plate, the device comprising:

[0052] An acquisition module is used to obtain an indicator weight data table of a plate indicator, wherein the indicator weight data table represents an importance score of the plate indicator;

[0053] A determination module is used to determine the subjective weight of the plate index based on the index weight data table; determine the index data of the plate; determine the objective weight of the plate index based on the index data; determine the target weight of the plate index based on the objective weight and the subjective weight; construct a performance collaborative evaluation model of the plate based on the target weight and the plate index; determine the rolling parameters corresponding to the plate index data; construct a fitting function based on the rolling parameters and the performance collaborative evaluation model of the plate; and determine the performance collaborative evaluation index of the plate based on the fitting function.

[0054] In a third aspect, an embodiment of the present application provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for evaluating the comprehensive performance of a plate when executing the computer program.

[0055] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for evaluating the comprehensive performance of a plate.

[0056] This application has the following beneficial effects:

[0057] This application obtains an indicator weight data table of plate indicators, determines the subjective weight of the plate indicators based on the indicator weight data table, determines the indicator data of the plate, determines the objective weight of the plate indicators based on the indicator data, determines the target weight of the plate indicators based on the objective weight and the subjective weight, constructs a plate performance synergistic evaluation model based on the target weight and the plate indicators, determines the rolling parameters corresponding to the plate indicator data, constructs a fitting function based on the rolling parameters and the plate performance synergistic evaluation model, and determines the plate shape synergistic evaluation index based on the fitting function. This can improve the accuracy of determining the plate performance synergistic index, and thus, based on accurate performance synergistic evaluation index, can simultaneously improve the performance and plate shape of steel. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0059] Figure 1 A block diagram of an electronic device provided in an embodiment of the present application;

[0060] Figure 2 This is a flow chart of a method for evaluating the comprehensive performance of a plate material provided in an embodiment of the present application;

[0061] Figure 3 This is a second flow chart of a method for evaluating the comprehensive performance of a plate material provided in an embodiment of the present application;

[0062] Figure 4 The third flow chart of a comprehensive performance evaluation process for a plate provided in an embodiment of the present application;

[0063] Figure 5 A fourth flow chart of a comprehensive performance evaluation process for a plate material provided in an embodiment of the present application;

[0064] Figure 6 This is a structural block diagram of a comprehensive performance evaluation device for a plate material provided in an embodiment of the present application. DETAILED DESCRIPTION

[0065] To make the objectives, technical solutions, and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings of 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. Generally, the components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations.

[0066] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for protection, but merely represents selected embodiments of the present application. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in the present application without creative work are within the scope of protection of the present application.

[0067] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0068] In the description of this application, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. appear, the orientation or position relationship indicated is based on the orientation or position relationship shown in the accompanying drawings, or is the orientation or position relationship in which the invented product is usually placed when in use. It is only for the convenience of describing this application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on this application.

[0069] In addition, the terms "first", "second", etc., if used, are merely used to distinguish and describe, and should not be understood as indicating or implying relative importance.

[0070] It should also be noted that, in the description of this application, unless otherwise expressly specified or limited, the terms "disposed," "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0071] CN201810152178.6 relates to a method for optimizing process parameters for rolling bars on a three-roll planetary mill. The technical solution involves: determining a finite element simulation orthogonal test scheme, establishing respective finite element geometric models, and obtaining the corresponding triaxial principal stress and equivalent plastic strain data for all grid cells on any cross-section of the bar component's rolling deformation zone during the simulated rolling process; obtaining the maximum DEMAGE value of the rolling deformation zone according to the material's ductile fracture criterion; and establishing a BP neural network model between the maximum DEMAGE value and the deflection angle, inclination angle, reduction, and rolling temperature levels. The deflection angle, inclination angle, reduction, and rolling temperature values corresponding to the bars rolled on the three-roll planetary mill are the deflection angle, inclination angle, reduction, and rolling temperature values obtained when the maximum DEMAGE value is minimized. This method optimizes rolling temperature, reduction, and other parameters using the BP neural network model, with the goal of minimizing rolling force.

[0072] CN201010033313.9 discloses a method for optimizing rolling process parameters of a dual UCM type secondary cold rolling mill. This method mainly optimizes parameters such as the cold rolling process entrance tension, inter-stand tension, and reduction rate of each stand to increase the rolling speed.

[0073] CN200810079327.7 discloses a process for producing niobium microalloyed steel by continuous rolling of medium-thin slabs. This process mainly controls the temperature of the intermediate slab to achieve non-recrystallization rolling in the finishing rolling stage, thereby improving product performance.

[0074] Existing rolling process optimization methods mainly focus on product performance, rolling efficiency, etc., and there is little research on plate shape optimization.

[0075] In view of the discovery of the above problems, the present embodiment provides a method and device for evaluating the comprehensive performance of plates, which can obtain an index weight data table of plate indexes, wherein the index weight data table represents the importance score of the plate indexes, determine the subjective weight of the plate indexes based on the index weight data table, determine the index data of the plate, determine the objective weight of the plate indexes based on the index data, determine the target weight of the plate indexes based on the objective weights and the subjective weights, construct a plate performance collaborative evaluation model based on the target weights and the plate indexes, determine the rolling parameters corresponding to the plate index data, construct a fitting function based on the rolling parameters and the plate performance collaborative evaluation model, and determine the plate shape collaborative evaluation index based on the fitting function. The accuracy of determining the performance collaborative index of the plate can be improved, and then based on the accurate performance collaborative evaluation index, the performance and plate shape of the steel can be improved at the same time. The solution provided by the present embodiment is described in detail below.

[0076] This embodiment provides an electronic device capable of evaluating the comprehensive performance of a panel. In one possible implementation, the electronic device may be a user terminal, such as, but not limited to, a server, a smartphone, a personal computer (PC), a tablet computer, a personal digital assistant (PDA), a mobile internet device (MID), etc.

[0077] Please refer to Figure 1 , Figure 1 The electronic device 100 provided in the embodiment of the present application is shown in FIG. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown. Figure 1 Each component shown in the figure can be implemented by hardware, software or a combination thereof.

[0078] The electronic device 100 includes a plate comprehensive performance evaluation device 110 , a memory 120 and a processor 130 .

[0079] The memory 120 and the processor 130 are electrically connected to each other directly or indirectly to achieve data transmission or interaction. For example, these components can be electrically connected to each other via one or more communication buses or signal lines. The plate comprehensive performance evaluation device 110 includes at least one software function module that can be stored in the memory 120 in the form of software or firmware or solidified in the operating system (OS) of the electronic device 100. The processor 130 is used to execute the executable modules stored in the memory 120, such as the software function modules and computer programs included in the plate comprehensive performance evaluation device 110.

[0080] The memory 120 may be, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), etc. The memory 120 is used to store a program, and the processor 130 executes the program after receiving an execution instruction.

[0081] Please refer to Figure 2 , Figure 2 For application Figure 1 The flowchart of a method for evaluating the comprehensive performance of a board of an electronic device 100 is shown in FIG. , and the method including each step is described in detail below.

[0082] S201: Obtaining a weight data table of plate indicators.

[0083] Among them, the indicator weight data table represents the importance score of the plate indicators.

[0084] The indicator weight data table can be used to score the indicators of each plate for each expert. For example, the score range can be set from 0 to 5, where 0 means that the indicator is not important for form synergy, and 5 means that the indicator is very important for form synergy.

[0085] As shown in Table 1:

[0086] Table 1

[0087]

[0088] S202: Determine the subjective weight of the plate index based on the index weight data table.

[0089] S203: Determine the index data of the plate.

[0090] S204: Determine the objective weight of the plate index based on the index data.

[0091] S205: Determine the target weight of the plate index based on the objective weight and the subjective weight.

[0092] S206: Based on the target weights and plate indicators, a collaborative evaluation model for plate performance is constructed.

[0093] S207: Determine rolling parameters corresponding to the plate index data.

[0094] S208: Constructing a fitting function based on the rolling parameters and the plate performance collaborative evaluation model.

[0095] S209: Determine the synergistic evaluation index of the plate shape based on the fitting function.

[0096] Based on Table 1, which is the indicator weight data table based on plate indicators, the subjective weight of the plate indicators is determined.

[0097] For example, if the plate indicators include yield strength, impact energy, and roughness, the subjective weight of yield strength, impact energy, and roughness are determined based on the indicator weight data table of the plate indicators.

[0098] Determine the index data of multiple groups of plates, which may include the yield strength, impact energy and flatness of different plates.

[0099] The yield strength of a plate refers to the critical stress value at which the plate changes from elastic deformation to plastic deformation when subjected to external force.

[0100] The impact energy of a plate refers to the energy absorbed when the specimen breaks under an impact load. It is usually expressed as Ak and its unit is joule (J).

[0101] The unevenness of a board refers to the flatness of the board surface, which is usually expressed by the ratio of the wave height to the length of the wave-shaped bend.

[0102] The objective weight of yield strength, impact energy and roughness is determined based on the data of each indicator.

[0103] Based on the objective weights and subjective weights, the target weights of the plate indicators are determined, and based on the target weights and plate indicators, a collaborative evaluation model for the performance of the plate is constructed.

[0104] The performance collaborative evaluation model of the plate is:

[0105] Q=ω1δ 屈服 +ω2J 冲击 +ω3B 不平度 ;

[0106] Among them, Q is the performance synergy evaluation index of the plate, ω1 is the target weight of yield strength, ω2 is the target weight of impact energy, and ω3 is the target weight of roughness. 屈服 is the yield strength, J 冲击 is the impact energy, B 不平度 For unevenness.

[0107] Based on the above-mentioned collaborative evaluation model, the collaborative evaluation index of the plate can be obtained, and the quality of the plate can be determined based on the collaborative evaluation index.

[0108] Since the yield strength, impact energy and flatness cannot be obtained intuitively during the plate production process, the yield strength, impact energy and flatness of the plate are determined by the rolling parameters. Therefore, a fitting function is constructed based on the rolling parameters and the plate performance synergy evaluation model. Based on the fitting function, the performance synergy index of the plate can be accurately determined.

[0109] Exemplarily, the rolling parameters include initial rolling temperature, final rolling speed, average reduction ratio of the first three passes, and thickness at temperature;

[0110] The fitting function satisfies the following formula:

[0111]

[0112] Among them, Q is the plate performance synergy evaluation index, x1 is the initial rolling temperature, x2 is the final rolling speed, x3 is the average reduction rate of the first three passes, and x4 is the waiting thickness.

[0113] The rolling of plates is guided based on the plate performance synergy evaluation index, such as Figure 3 As shown, the following steps are included:

[0114] S301: Acquire a preset number of rolling parameter data sets from a database.

[0115] S302: Based on the fitting function, determine the first formability synergy evaluation index corresponding to each rolling data group in the rolling parameter data set.

[0116] S303: Obtaining the largest first formability collaborative evaluation index from multiple first formability collaborative evaluation indexes.

[0117] S304: Determine the target rolling parameters corresponding to the maximum first formability synergy evaluation index.

[0118] S305: Output the target rolling parameters to guide the rolling of the plate.

[0119] For example, 30 groups of rolling parameter data are randomly selected from the database, and a rolling parameter data set is formed by the 30 randomly selected groups of rolling parameter data. The rolling parameter data sets are fitted based on the fitting function to obtain the performance synergy evaluation index corresponding to each group of rolling parameter data sets.

[0120] Each rolling parameter data set includes the initial rolling temperature, final rolling speed, the average reduction ratio of the first three passes, and the waiting thickness at temperature.

[0121] The initial rolling temperature varies for different plates. Hot-rolled plates typically have a higher initial rolling temperature, typically between 1100°C and 1200°C. Cold rolling is performed at room temperature or below the recrystallization temperature, without heating. The hot rolling temperature range for TC4 titanium alloy plates is 750°C to 990°C. Nickel-based alloy plates: The initial rolling temperature is no less than 1080°C.

[0122] Different initial rolling temperatures are determined based on different product requirements for rolled plates.

[0123] The final rolling speed of plate rolling is a key process parameter that affects the rolling process and product quality. For hot-rolled plate, the final rolling speed during hot rolling is typically between 10m / s and 20m / s. For cold-rolled plate, the final rolling speed during cold rolling is generally lower, typically between 1m / s and 5m / s.

[0124] During plate rolling, the average reduction ratio of the first three passes is a key parameter affecting rolling efficiency and product quality. In cold rolling, the total reduction ratio is typically 60% to 90%. In hot rolling, the reduction ratio of the first three passes is also typically higher, but this needs to be adjusted based on the specific material properties and equipment capabilities.

[0125] The warming thickness refers to the thickness of the steel plate after the roughing stage is completed and before entering the finishing stage. A reasonable warming thickness can ensure that the steel plate has good deformation properties and final mechanical properties during the subsequent rolling process.

[0126] For each set of rolling parameter data, including rolling temperature, final rolling speed, average reduction rate of the first three passes, and waiting thickness, the performance synergy evaluation index of the plate under this set of rolling parameter data is calculated based on the fitting function.

[0127] When 30 sets of rolling parameter data are randomly obtained, the first-line performance synergy evaluation index under 30 different rolling parameters can be calculated, the largest first-line performance synergy evaluation index can be obtained from the 30 performance synergy evaluation indexes, and the rolling parameters corresponding to the largest first-line performance synergy evaluation index can be determined as the target rolling parameters, and the rolling of the plate can be guided based on the target rolling parameters.

[0128] The plates rolled based on the target rolling parameters can improve the performance and shape of the steel.

[0129] Specifically, the preset number was set to 30, the number of iterations to 5000, the initial rolling temperature range to 1000-1100°C, the final rolling speed to 11.5-12.5 m / s, the average reduction ratio for the first three passes to 11%-13%, and the warming thickness to 1.8-2.8 hours were set. With the goal of maximizing Q, an automatic optimization was performed. The output target rolling parameters were an initial rolling temperature of 1050°C, a final rolling speed of 12.1 m / s, an average reduction ratio for the first three passes to 12%, and a warming thickness to 2.5 hours. The Q value was 157.12.

[0130] Using these target rolling parameters for industrial rolling, performance testing revealed that the plate produced with these parameters achieved a yield strength of 460 MPa, an impact energy of 60 J, and a roughness of 1.51 mm. Substituting these parameters into the performance collaborative evaluation model yielded a Q of 158.02. A comprehensive comparison revealed that the genetic algorithm achieved an optimization error of only 0.57%.

[0131] There are many ways to determine the subjective weight of the plate index based on the index weight data table. In one implementation, Figure 4 As shown, the following steps are included:

[0132] Plate indicators include yield strength, impact energy and roughness, and the indicator weight data table includes multiple importance scores corresponding to each plate indicator.

[0133] S401: Based on the indicator weight data table, the average values of yield strength, impact energy and roughness are calculated respectively.

[0134] S402: Obtain any two mean values from the mean value of yield strength, the mean value of impact energy, and the mean value of roughness for comparison, obtain multiple comparison results, and determine a score corresponding to each comparison result.

[0135] S403: Based on the scores of the comparison results, the TTL value of the yield strength, the TTL value of the impact energy, and the TTL value of the roughness are calculated.

[0136] S404: normalizing the TTL value of yield strength, the TTL value of impact energy, and the TTL value of roughness to obtain a subjective weight of yield strength, a subjective weight of impact energy, and a subjective weight of roughness.

[0137] For example, the average values of yield strength, impact energy, and roughness are calculated, as shown in Table 2.

[0138] Table 2

[0139]

[0140]

[0141] Take any two mean values from the mean values of yield strength, impact energy, and roughness and compare them to obtain multiple comparison results and determine the scores corresponding to each comparison result. Specifically: compare the mean value of yield strength 3.4 with the yield strength 3.4. If the yield strengths are the same, the score of index 1 (yield strength) is 0.5, and 0.5 is entered into the first row and first column of Table 3. Compare the mean value of index 1 (yield strength) 3.4 with the mean value of index 2 (impact energy) 4. If the mean value of index 1 (yield strength) is less than the mean value of index 2 (impact energy), the score of index 1 (yield strength) is 0, and 0 is entered into the first row and second column of Table 3. Compare the mean value of index 1 (yield strength) 3.4 with the mean value of index 3 (roughness) 4.2. If the mean value of index 1 (yield strength) 3.4 is less than the mean value of index 3 (roughness), the score of index 1 (yield strength) is 0, and 0 is entered into the first row and third column of Table 3.

[0142] Compare the mean value 4 of index 2 (impact energy) with the mean value 3.4 of index 1 (yield strength). The mean value 4 of index 2 (impact energy) is greater than the mean value 3.4 of index 1 (yield strength). Then the score of index 2 (impact energy) is 1. Enter 1 into the second row and first column of Table 3. Compare the mean value 4 of index 2 (impact energy) with the mean value 4 of index 2 (impact energy). The mean value 4 of index 2 (impact energy) is equal to the mean value 4 of index 2 (impact energy). Then the score of index 2 (impact energy) is 0.5. Enter 0.5 into the second row and second column of Table 3. Compare the mean value 4 of index 2 (impact energy) with the mean value 4.2 of index 3 (roughness). The mean value 4 of index 2 (impact energy) is less than the mean value 4.2 of index 3 (roughness). Then the score of index 2 (impact energy) is 0. Enter 0 into the second row and third column of Table 3.

[0143] Compare the mean value of index 3 (roughness) 4.2 with the mean value of index 1 (yield strength) 3.4. The mean value of index 3 (roughness) 4.2 is greater than the mean value of index 1 (yield strength) 3.4, so the score of index 3 (roughness) is 1. Enter 1 into the third row and first column of Table 3. Compare the mean value of index 3 (roughness) 4.2 with the mean value of index 2 (impact energy) 4. The mean value of index 3 (roughness) 4.2 is greater than the mean value of index 1 (yield strength) 3.4. The mean value of index 2 (impact energy) is 4, so the score of index 3 (roughness) is 1. Enter 1 into the third row and second column of Table III. Compare the mean value 4.2 of index 3 (roughness) with the mean value 4.2 of index 3 (roughness). The mean value 4.2 of index 3 (roughness) is equal to the mean value 4.2 of index 3 (roughness). Then the score of index 3 (roughness) is 0.5. Enter 0.5 into the third row and third column of Table III, and finally obtain Table III.

[0144] Table 3

[0145]

[0146] Add up the data in each row of Table 3 to get the TTL value, and get Table 4:

[0147] Table 4

[0148]

[0149]

[0150] Normalize the TTL value to get the corresponding weight ω 主j , the formula is as follows:

[0151]

[0152] Substituting the relevant results in Table 4 into the above formula, we can obtain that the yield strength, impact energy, and roughness subjective weights are 0.11, 0.33, and 0.56, respectively.

[0153] There are many ways to determine the objective weight of the plate index based on the index data. In one implementation, Figure 5 As shown, the following steps are included:

[0154] S501: Standardizing the index data of each plate to obtain index data of a first plate.

[0155] S502: Determine the negative correlation coefficient of the index data of the first plate.

[0156] S503: Determine the objective weight of the plate index based on each of the negative correlation coefficients.

[0157] For example, each indicator data is standardized based on the following formula:

[0158] The data of each indicator is standardized, and the formula is as follows:

[0159] '

[0160] x ij is the data before standardization; x ij The standardized data is the index data of the first plate.

[0161] A negative correlation coefficient is determined based on the indicator data of the first plate. The negative correlation coefficient of the indicator data of the first plate can be determined based on calculating a Pearson correlation coefficient. The Pearson correlation coefficient has a value range of -1 to 1, where a negative value indicates a negative correlation between the two variables.

[0162] As shown in Table 5, the negative correlation coefficients between the indicators are:

[0163] Table 5

[0164]

[0165] The implementation method of determining the objective weight of the plate index based on each negative correlation coefficient specifically includes: determining the reciprocal of each negative correlation coefficient; for the reciprocal of each negative correlation coefficient, calculating the ratio of the negative correlation coefficient to the sum of the reciprocals of each negative correlation coefficient as the objective weight of the plate index.

[0166] The inverse of the multiple correlation coefficient 1 / R of each plate index is calculated. The specific results are shown in Table 6:

[0167]

[0168] The objective weight of the plate index is calculated based on the inverse of the negative correlation coefficient and the following objective weight calculation formula:

[0169]

[0170] Substituting the relevant results in Table 6 into the above formula, we can obtain the objective weights of yield strength, impact energy, and roughness as 0.39, 0.28, and 0.33, respectively.

[0171] Based on the objective weight and subjective weight, the target weight is calculated according to the following formula:

[0172] ω=α1ω 主 +α2ω 客 ;

[0173]

[0174] Among them, ω is the target weight, ω 主 is the subjective weight, ω 客 is the objective weight, α1 is the coefficient of subjective weight, and α2 is the coefficient of objective weight.

[0175] The final calculated target weights for yield strength are 0.29, impact energy, and roughness are 0.41.

[0176] The performance collaborative evaluation model is:

[0177] Q=0.29δ 屈服 +0.3J 冲击 -0.41B 不平度 .

[0178] Please refer to Figure 6 The present application also provides an embodiment of a method for Figure 1The device 110 for evaluating the comprehensive performance of a plate of the electronic device 100 includes:

[0179] An acquisition module 111 is configured to acquire an indicator weight data table of a plate indicator, wherein the indicator weight data table represents an importance score of the plate indicator;

[0180] Determination module 112 is used to determine the subjective weight of the plate index based on the index weight data table; determine the index data of the plate; determine the objective weight of the plate index based on the index data; determine the target weight of the plate index based on the objective weight and the subjective weight; construct a performance collaborative evaluation model of the plate based on the target weight and the plate index; determine the rolling parameters corresponding to the plate index data; construct a fitting function based on the rolling parameters and the performance collaborative evaluation model of the plate; and determine the performance collaborative evaluation index of the plate based on the fitting function.

[0181] The present application further provides an electronic device 100, which includes a processor 130 and a memory 120. The memory 120 stores computer-executable instructions, which, when executed by the processor 130, implement the comprehensive performance evaluation method for a plate material.

[0182] The embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by the processor 130, the comprehensive performance evaluation method of the board is implemented.

[0183] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or can be implemented using a combination of dedicated hardware and computer instructions.

[0184] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part. If the function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0185] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0186] The above descriptions are merely examples of various embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any modifications or substitutions that can be readily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included within the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for evaluating the comprehensive performance of a plate, characterized in that: The method comprises: Obtaining an indicator weight data table of plate indicators, wherein the indicator weight data table represents the importance score of the plate indicators; Determining the subjective weight of the plate index based on the index weight data table; Determining index data of the plate; Determining the objective weight of the plate index based on the index data; Determining a target weight for the plate index based on the objective weight and the subjective weight; Based on the target weight and the plate index, a performance collaborative evaluation model of the plate is constructed; Determine the rolling parameters corresponding to the plate index data; Constructing a fitting function based on the rolling parameters and the plate performance collaborative evaluation model; A synergistic evaluation index of the form of the plate is determined based on the fitting function.

2. The method according to claim 1, characterized in that The step of determining the form synergy evaluation index of the plate based on the fitting function includes: Obtaining a preset number of rolling parameter data sets from a database; Determining a first formability synergy evaluation index corresponding to each rolling data group in the rolling parameter data set based on the fitting function; The method further comprises: Obtaining the largest first formability synergy evaluation index from a plurality of said first formability synergy evaluation indexes; Determine the target rolling parameters corresponding to the maximum first formability synergy evaluation index; The target rolling parameters are output to guide the rolling of the plate.

3. The method according to claim 1, characterized in that The plate indicators include yield strength, impact energy, and roughness, and the indicator weight data table includes a plurality of importance scores corresponding to each plate indicator; and the step of determining the subjective weight of the plate indicator based on the indicator weight data table includes: Based on the indicator weight data table, respectively calculating the average values of the yield strength, impact energy and roughness; Obtain any two mean values from the mean values of yield strength, impact energy, and roughness for comparison, obtain multiple comparison results, and determine a score corresponding to each comparison result; Calculating the TTL value of the yield strength, the TTL value of the impact energy, and the TTL value of the roughness based on the scores of the comparison results; The TTL value of the yield strength, the TTL value of the impact energy, and the TTL value of the roughness are normalized to obtain the subjective weight of the yield strength, the subjective weight of the impact energy, and the subjective weight of the roughness.

4. The method according to claim 3, characterized in that The step of obtaining any two mean values from the mean value of yield strength, the mean value of impact energy, and the mean value of roughness for comparison, obtaining multiple comparison results, and determining a score corresponding to each comparison result includes: Compare the mean value of yield strength with the mean value of impact energy; When the average value of the yield strength is greater than the average value of the impact energy, the score corresponding to the yield strength is determined to be 1; When the mean value of the yield strength is less than the mean value of the impact energy, the score corresponding to the yield strength is determined to be 0; When the mean value of the yield strength is equal to the mean value of the impact energy, the score corresponding to the yield strength is determined to be 0.5, and the score corresponding to the impact energy is determined to be 0.

5.

5. The method according to claim 1, wherein The step of determining the objective weight of the plate index based on the index data includes: Standardizing the index data of each plate to obtain the index data of the first plate; determining a negative correlation coefficient of the indicator data of the first plate; Based on each of the negative correlation coefficients, the objective weight of the plate index is determined.

6. The method according to claim 5, characterized in that The step of determining the objective weight of the plate index based on each of the negative correlation coefficients includes: determining the reciprocal of each of the negative correlation coefficients; For the reciprocal of each negative correlation coefficient, a ratio of the negative correlation coefficient to the sum of the reciprocals of the negative correlation coefficients is calculated as the objective weight of the plate index.

7. The method according to claim 1, characterized in that The target weight satisfies the following formula: ω=α1ω 主 +a2w 客 ; Among them, ω is the target weight, ω 主 is the subjective weight, ω 客 is the objective weight, α1 is the coefficient of subjective weight, and α2 is the coefficient of objective weight.

8. The method according to claim 1, characterized in that The performance collaborative evaluation model of the plate satisfies the following formula: Q=ω1δ 屈服 +ω2J 冲击 +ω3B 不平度 ; Among them, Q is the performance synergy evaluation index of the plate, ω1 is the target weight of yield strength, ω2 is the target weight of impact energy, and ω3 is the target weight of roughness.

9. The method according to claim 1, characterized in that The rolling parameters include the initial rolling temperature, the final rolling speed, the average reduction rate of the first three passes, and the thickness at temperature; The fitting function satisfies the following formula: Among them, Q is the plate performance synergy evaluation index, x1 is the initial rolling temperature, x2 is the final rolling speed, x3 is the average reduction rate of the first three passes, and x4 is the waiting thickness.

10. A device for evaluating the comprehensive performance of a plate, characterized in that: The device comprises: An acquisition module is used to obtain an indicator weight data table of a plate indicator, wherein the indicator weight data table represents an importance score of the plate indicator; A determination module is used to determine the subjective weight of the plate index based on the index weight data table; determine the index data of the plate; determine the objective weight of the plate index based on the index data; determine the target weight of the plate index based on the objective weight and the subjective weight; construct a performance collaborative evaluation model of the plate based on the target weight and the plate index; determine the rolling parameters corresponding to the plate index data; construct a fitting function based on the rolling parameters and the performance collaborative evaluation model of the plate; and determine the performance collaborative evaluation index of the plate based on the fitting function.

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