Method and system for predicting abrasion of straightening roll of straightening machine

Abstract

The invention discloses a straightening machine straightening roll wear prediction method and system, and belongs to the technical field of straightening machine straightening rolls. The method includes: acquiring parameters of a straightening roll, and establishing a wear model of the straightening roll; the abrasion model is solved, and the estimated abrasion loss of abrasion of the straightening roll is obtained; constructing a simulated annealing algorithm model according to the estimated abrasion loss; solving the simulated annealing algorithm model to obtain an individual fitness value of the wear of the straightening roll; and predicting the wear degree of the straightening roll by taking the individual fitness value as a predicted value. The wear model of the straightening roll is established by acquiring the main parameters which can influence the wear of the straightening roll, the simulated annealing algorithm model used for predicting the wear degree of the straightening roll is constructed by solving the acquired model, and the wear degree of the straightening roll can be accurately predicted according to the solving of the simulated annealing algorithm model. Therefore, the abrasion condition of the straightening roll can be predicted in advance, the service life of the straightening roll is prolonged, the straightening quality is improved, and the cost is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of straightening rollers of a straightening machine, and in particular to a wear prediction method and system for straightening rollers of a plate straightening machine. Background Art

[0002] The straightening roller is an important part of the straightening equipment. In the process of straightening metal sheets, the mutual extrusion and friction between the straightening roller and the sheet and the supporting roller will cause the wear of the straightening roller. The wear of the straightening roller is mainly affected by factors such as the material and size of the straightening roller, the straightening force and the pressure between the rollers. From the wear mechanism point of view, the wear of the straightening roller is mainly divided into abrasive wear, fatigue wear, corrosive wear and adhesive wear.

[0003] At present, the main solutions to the problem of wear of the straightening rollers are repair and replacement. The replacement of the straightening rollers has the problems of high cost and poor economy. For the repair method, it is necessary to judge the straightening condition according to the rotation of the straightening rollers. However, due to the high rotation speed of the straightening rollers, there are inevitable safety hazards for the maintenance workers. Secondly, it is difficult to complete the maintenance work in a short time, which affects the work efficiency. Once the straightening rollers are replaced or repaired in time, irreversible damage will be caused to the straightened materials. In the above-mentioned maintenance process, the degree of wear of the straightening rollers is mostly judged by naked eye observation or by the accuracy of the straightened materials. When the wear of the straightening rollers is found by the above method, the wear is usually too large, the maintenance cost is high, it is time-consuming and labor-intensive or difficult to repair, and it can only be replaced. Summary of the invention

[0004] In order to solve some or all of the technical problems existing in the above-mentioned prior art, the present invention provides a method and system for predicting the wear of the straightening roller of a straightening machine, which can predict the wear condition of the straightening roller in advance, improve the service life and straightening quality of the straightening roller, improve the straightening accuracy of the straightening material, reduce replacement costs, and improve maintenance efficiency.

[0005] The technical solution of the present invention is as follows:

[0006] In a first aspect, the present invention provides a method for predicting wear of a straightening roller of a straightening machine, comprising:

[0007] Obtain the parameters of the straightening roller and establish the wear model of the straightening roller;

[0008] Solving the wear model to obtain an estimated wear amount of the straightening roller;

[0009] constructing a simulated annealing algorithm model according to the estimated wear amount;

[0010] Solving the simulated annealing algorithm model to obtain the individual fitness value of the straightening roller wear;

[0011] The individual fitness value is used as a prediction value to predict the wear degree of the straightening roller.

[0012] Furthermore, in the above-mentioned straightening machine straightening roller wear prediction method, the parameters of the straightening rollers obtained are the parameters of several groups of straightening rollers in the same straightening machine. When obtaining the parameters, each straightening roller is evenly cut into several small pieces along the radial direction, and the wear amount of each piece is calculated, including the working parameters of the straightening rollers, the uneven wear parameters of the straightening rollers under actual measured conditions, and the coefficients of the established straightening roller wear model.

[0013] Furthermore, in the above-mentioned straightening machine straightening roller wear prediction method, the wear model is expressed as:

[0014]

[0015] Where: w ij represents the estimated wear of the jth straightening roller when straightening the i-th straightening material; k1 represents the model coefficient; P n represents the straightening force applied to the nth straightening roller during the straightening process; B represents the width of the straightened material; l c It represents the contact arc length between the straightening material and the straightening roller; k2 represents the load influence coefficient; L z Indicates the straightening kilometers of the straightening roller; π indicates the circumference of a circle; D w represents the diameter of the straightening roller; δ(x) represents the function describing the uneven degree of lateral wear of the straightening roller.

[0016] Furthermore, in the above-mentioned straightening machine straightening roller wear prediction method, the straightening force P applied to the nth straightening roller during the straightening process is n Calculated by the following formula:

[0017]

[0018] Where: l represents the roller distance of the straightening machine; m n-1 、m n and m n+1 Respectively represent the bending moment ratios at the n-1th, nth and n+1th positions of the straightening roller; M t Represents the elastic limit bending moment of the straightening roller.

[0019] Furthermore, in the above-mentioned straightening machine straightening roller wear prediction method, the contact arc length l between the straightening material and the straightening roller is c Calculated by the following formula:

[0020]

[0021] Where: Δh represents the amount of pressure reduction of the straightening material during the straightening process of the straightening roller; R w Indicates the radius of the straightening roller.

[0022] Furthermore, in the above-mentioned straightening machine straightening roller wear prediction method, the function δ(x) describing the uneven degree of lateral wear of the straightening roller is expressed as:

[0023]

[0024] Wherein: x represents the straightening area of ​​the straightening roller; x1-x7 represent the straightening wear area respectively, wherein x1 represents the distance from the reference edge to the edge of the wear area on the roller body of the straightening roller, which is located on the side of the reference edge of the straightening roller; x2 represents the distance from the reference edge to the first trough on the wear area; x3 represents the distance from the reference edge to the first highest point or peak on the wear area; x4 represents the distance from the reference edge to the second highest point or peak on the wear area; x5 represents the distance from the reference edge to the second trough on the wear area; x6 represents the distance from the reference edge to the operating side of the straightening roller, that is, away from the transmission side of the straightening roller, from the reference edge to the roller body of the straightening roller x7 represents the length of the straightening roller body; Q1 and Q2 represent the edge wear ratio of the straightening roller on the transmission side and the operating side; L1, L2, L3 and L4 represent the segmentation of the axial wear of the straightening roller, where L1 represents the distance from the edge of the wear area on the transmission side of the straightening roller to the first trough of the wear area, L2 represents the distance from the first trough to the first highest point or peak of the wear area of ​​the straightening roller, L3 represents the distance from the first highest point or peak to the second trough of the wear area of ​​the straightening roller, and L4 represents the distance from the edge of the wear area on the operating side of the straightening roller to the second trough of the wear area.

[0025] Furthermore, in the above-mentioned straightening machine straightening roller wear prediction method, the straightening wear area x1-x7 is calculated by the following formula:

[0026]

[0027] Where: L w Indicates the length of the straightening roller body.

[0028] Furthermore, in the above-mentioned straightening machine straightening roller wear prediction method, the simulated annealing algorithm model is expressed as:

[0029]

[0030] Among them: Fit represents the individual fitness value; ω i represents the weighted value of the fitness value of the i-th straightening roller; m represents the total number of straightening rollers of a straightening machine; C max express The maximum estimated value of ij represents the estimated wear amount of the jth straightening roller when straightening the i-th straightening material; w ij_mIt represents the measured wear amount of the jth straightening roller when straightening the i-th straightening material; N represents the amount of straightening material in one roller changing cycle.

[0031] In a second aspect, the present invention further provides a straightening machine straightening roller wear prediction system, comprising:

[0032] A wear model building module, wherein the wear model building module is used to obtain parameters of the straightening roller and build a wear model of the straightening roller;

[0033] An estimated wear amount solving module, the estimated wear amount solving module is used to solve the wear model to obtain the estimated wear amount of the straightening roller;

[0034] A simulated annealing algorithm model building module, wherein the simulated annealing algorithm model building module is used to build a simulated annealing algorithm model according to the estimated wear amount;

[0035] An individual fitness value solving module, which is used to solve the simulated annealing algorithm model to obtain the individual fitness value of the straightening roller wear;

[0036] A prediction module is used to predict the wear degree of the straightening roller by taking the individual fitness value as a prediction value.

[0037] The main advantages of the technical solution of the present invention are as follows:

[0038] The straightening roller wear prediction method of the straightening machine of the present invention establishes a wear model of the straightening roller by acquiring the main parameters that can affect the wear of the straightening roller, and constructs a simulated annealing algorithm model for predicting the degree of wear of the straightening roller by solving the obtained model. According to the solution of the simulated annealing algorithm model, the degree of wear of the straightening roller can be accurately predicted, so that the wear condition of the straightening roller can be predicted in advance, the service life and straightening quality of the straightening roller can be improved, the straightening accuracy of the straightening material can be improved, the replacement cost can be reduced, and the maintenance efficiency can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The drawings described herein are used to provide a further understanding of the embodiments of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0040] Figure 1 It is a schematic flow chart of a method for predicting wear of a straightening roller of a straightening machine according to an embodiment of the present invention;

[0041] Figure 2 A schematic diagram of wear of a straightening roller in a method for predicting wear of a straightening roller of a straightening machine provided in one embodiment of the present invention;

[0042] Figure 3A schematic diagram of the structure of a straightening roller straightening a plate in a method for predicting wear of a straightening roller of a straightening machine provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0044] The technical solution provided by the embodiments of the present invention is described in detail below with reference to the accompanying drawings.

[0045] As attached Figure 1-3 As shown, an embodiment of the present invention provides a method for predicting wear of a straightening roller of a straightening machine, the method comprising:

[0046] Obtain the parameters of the straightening roller and establish the wear model of the straightening roller; solve the wear model to obtain the estimated wear amount of the straightening roller; construct a simulated annealing algorithm model based on the estimated wear amount; solve the simulated annealing algorithm model to obtain the individual fitness value of the straightening roller wear; use the individual fitness value as the prediction value to predict the wear degree of the straightening roller.

[0047] The straightening roller wear prediction method of the straightening machine of the present invention establishes a wear model of the straightening roller by acquiring the main parameters that can affect the wear of the straightening roller, and constructs a simulated annealing algorithm model for predicting the degree of wear of the straightening roller by solving the obtained model. According to the solution of the simulated annealing algorithm model, the degree of wear of the straightening roller can be accurately predicted, so that the wear condition of the straightening roller can be predicted in advance, the service life and straightening quality of the straightening roller can be improved, the straightening accuracy of the straightening material can be improved, the replacement cost can be reduced, and the maintenance efficiency can be improved.

[0048] Specifically, in the straightening roller wear prediction method of the straightening machine of the present invention, the parameters of the straightening rollers obtained are the parameters of several groups of straightening rollers in the same straightening machine. When obtaining the parameters, each straightening roller is evenly cut into several small pieces along the radial direction, and the wear amount of each piece is calculated, including the working parameters of the straightening rollers, the uneven wear parameters of the straightening rollers under actual measured conditions, and the coefficients of the established straightening roller wear model.

[0049] In this way, by calculating the wear of each straightening roller and summing the calculated wear of each small piece as the overall wear of the straightening roller, the calculated wear is more accurate and the prediction accuracy of the wear of the straightening roller is more accurate.

[0050] Among them, the above wear model is expressed as:

[0051]

[0052] In the above formula: w ij represents the estimated wear of the jth straightening roller when straightening the i-th straightening material; k1 represents the model coefficient; P n represents the straightening force applied to the nth straightening roller during the straightening process; B represents the width of the straightened material; l c It represents the contact arc length between the straightening material and the straightening roller; k2 represents the load influence coefficient; L z Indicates the straightening kilometers of the straightening roller; π indicates the circumference of a circle; D w represents the diameter of the straightening roller; δ(x) represents the function describing the uneven degree of lateral wear of the straightening roller.

[0053] Where: The straightening force P applied to the nth straightening roller during the straightening process n Calculated by the following formula:

[0054]

[0055] In the above formula: l represents the roller distance of the straightening machine; m n-1 、m n and m n+1 Respectively represent the bending moment ratios at the n-1th, nth and n+1th positions of the straightening roller; M t Represents the elastic limit bending moment of the straightening roller.

[0056] Where: The contact arc length l between the straightening material and the straightening roller c Calculated by the following formula:

[0057]

[0058] In the above formula: Δh represents the amount of pressure reduction of the straightening material during the straightening process; R w Indicates the radius of the straightening roller.

[0059] Specifically, Figure 3 As shown in the figure, the arc structure shown in the figure is the strip to be straightened, the circle located in the middle position above the straightening strip represents the straightening roller, and the circles located below the strip and on the left and right sides of the straightening roller represent the support rollers. The O shown in the figure represents the circle of the straightening roller, R represents the radius of the straightening roller, E represents the tangent point of the bottom of the straightening roller with the straightening strip, α represents the angle between the contact end point position of the straightening roller and the strip and the bottom tangent point, C represents the contact length of the strip with the straightening roller, and the reduction Δh represents the height difference between the highest point and the lowest point of the strip during the straightening process of the straightening roller and the working roller (not shown in the figure).

[0060] Among them: the function δ(x) describing the uneven degree of lateral wear of the straightening roller is expressed as:

[0061]

[0062] In the above formula: x represents the straightening area of ​​the straightening roller; x1-x7 represent the straightening wear areas respectively; Q1 and Q2 represent the edge wear ratios of the straightening roller on the transmission side and the operating side of the straightening machine; L1-L4 represent the segments of the axial wear of the straightening roller.

[0063] Specifically, the working parameters of the straightening rollers are known or can be obtained by calculation or measurement during the straightening process, including: the straightening force P of the nth straightening roller during the straightening process n , the width B of the straightened material, the contact arc length l between the straightened material and the straightening roller c , straightening roller straightening kilometers L z and straightening roller diameter D w ; The uneven wear parameters of the straightening roller under the above-mentioned measured conditions include: the edge wear ratios Q1 and Q2 on the transmission side and the operating side of the straightening roller of the straightening machine, and the segments L1, L2, L3 and L4 of the axial wear of the straightening roller, and the straightening wear areas x1-x7 of the straightening roller; and the coefficients of the above-mentioned established straightening roller wear model include the model coefficient k1 and the load influence coefficient k2.

[0064] Specifically, the model coefficient k1 and load influence coefficient k2 in the above-mentioned straightening roller wear model can be obtained by trial and error or by mathematical methods. However, the trial and error method is not only inefficient in determining the coefficients of the model, but also has great blindness, which can easily lead to erroneous results; and the mathematical method is a local optimization solution, which is not suitable for solving the multi-peak problem of the straightening roller wear area, and some estimation methods have more requirements on the objective function, such as continuous differentiability, convex function, etc.

[0065] It should be noted that the determination and use of the above coefficients are not the key points of this application, and due to the differences in the straightening materials and straightening forces, the coefficients used are different. Specifically, they can be obtained according to the above method during use and selection, or based on prior knowledge and empirical parameters in the actual straightening process.

[0066] For example, one side of the straightening roller during the straightening process is the transmission side, and the other side is the operating side. In this embodiment, the transmission side of the straightening roller is used as the reference side to obtain the above straightening formula, such as Figure 2The rectangular shaded area in the middle shows the straightening material, such as strip steel, etc. The position in direct contact with the strip steel is the wear area of ​​the straightening roller, and during the operation of the straightening roller, it is necessary to ensure that the material such as the strip steel is fully straightened. Therefore, it is usually the case that the length of the straightening roller body is greater than the width of the straightening material, so as to ensure the straightening quality of the straightening material. In addition, since the width of the straightened strip steel is different and the position of the strip steel and the outer diameter contact surface of the straightening roller are not unique during the straightening process, the position of the straightening material on the straightening roller body will swing and deviate during the straightening process. Therefore, the wear area and wear shape on the straightening roller are not unique. Therefore, when obtaining parameters, it is necessary to obtain the parameters according to the wear area and wear position of the straightening roller. The wear model corresponding to the straightening roller is established, wherein: in the straightening wear zone of the straightening roller mentioned above, x1 represents the distance from the reference edge to the edge of the wear area on the roller body of the straightening roller, which is located on the side of the reference edge of the straightening roller; x2 represents the distance from the reference edge to the first trough on the wear area; x3 represents the distance from the reference edge to the first highest point or peak on the wear area; x4 represents the distance from the reference edge to the second highest point or peak on the wear area; x5 represents the distance from the reference edge to the second trough on the wear area; x6 represents the distance from the reference edge to the edge of the wear area on the roller body of the straightening roller, which is located on the operating side of the straightening roller, that is, away from the transmission side of the straightening roller; x7 represents the roller body length of the straightening roller, which is related to L w The lengths represented are the same, L1 represents the distance from the edge of the wear area on the transmission side of the straightening roller to the first trough of the wear area, L2 represents the distance from the first trough of the wear area of ​​the straightening roller to the first highest point or peak, L3 represents the distance from the first highest point or peak of the wear area of ​​the straightening roller to the second trough; L4 represents the distance from the second trough to the edge of the wear area on the other side of the straightening roller, that is, the distance from the edge of the wear area on the operating side of the straightening roller to the second trough of the wear area.

[0067] Wherein: the straightening wear area x1-x7 is calculated by the following formula:

[0068]

[0069] In the above formula: L w Indicates the length of the straightening roller body.

[0070] Among them: The simulated annealing algorithm model is expressed as:

[0071]

[0072] In the above formula: Fit represents the individual fitness value; ω i represents the weighted value of the fitness value of the i-th straightening roller; m represents the total number of straightening rollers of a straightening machine; C max express The maximum estimated value of ijrepresents the estimated wear amount of the jth straightening roller when straightening the i-th straightening material; w ij_m It represents the measured wear amount of the jth straightening roller when straightening the i-th straightening material; N represents the amount of straightening material in one roller changing cycle.

[0073] It can be imagined that the materials straightened by the straightening rollers of the straightening machine include metal materials such as profiles, bars, tubes and wires. The present invention does not limit the materials to be straightened and their shapes, but the width of the straightened material needs to be measured in parameter acquisition. Therefore, the material to be straightened is preferably a material whose width is easy to measure and has a consistent width. In combination with practical applications, the material to be straightened is preferably strip steel.

[0074] Specifically, the simulated annealing genetic algorithm used in the present invention is to use the wear data of several groups of straightening rollers of the same straightening machine to predict the wear amount of the straightening roller of the straightening machine, and the process is as follows:

[0075] (1) Randomly generate X individuals within the obtained parameter range of the straightening roller to form an initial group. It should be noted that the parameter range is determined by the wear mechanism and influencing factors of the straightening roller and trial calculation;

[0076] (2) The above method is used to predict the initial group and calculate the fitness value of each individual. In order to reduce the impact of measurement error on the prediction of the initial group, the wear data of multiple straightening rollers of a straightening machine are selected as samples for intelligent optimization of model parameters.

[0077] (3) The individual with the largest fitness value in this generation, i.e., the optimal solution in this generation, is directly copied to the next generation;

[0078] (4) Using replication, crossover, and mutation genetic operators to operate on the population, generate a new generation of other individuals to form a new population, and perform simulated annealing operations on the individuals;

[0079] (5) Output condition check. If satisfied, the iteration ends; otherwise, repeat (3), (4), and (5).

[0080] Therefore, based on the characteristics of genetic algorithm that can perform efficient and adaptive global optimization, combined with simulated annealing algorithm, the operating efficiency and solution quality of genetic algorithm can be improved.

[0081] In a second aspect, the present invention further provides a straightening machine straightening roller wear prediction system, comprising:

[0082] A wear model building module, which is used to obtain the parameters of the straightening roller and build a wear model of the straightening roller;

[0083] An estimated wear amount solving module is used to solve the wear model and obtain the estimated wear amount of the straightening roller;

[0084] A simulated annealing algorithm model building module, the simulated annealing algorithm model building module is used to build a simulated annealing algorithm model according to the estimated wear amount;

[0085] Individual fitness value solving module, which is used to solve the simulated annealing algorithm model and obtain the individual fitness value of the straightening roller wear;

[0086] The prediction module is used to predict the wear degree of the straightening roller by taking the individual fitness value as the prediction value.

[0087] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In addition, "front", "back", "left", "right", "upper" and "lower" in this article are all referenced to the placement state shown in the accompanying drawings.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention 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 invention.

Claims

1. A method for predicting wear of a straightening roller of a straightening machine, characterized in that: include: Obtain the parameters of the straightening roller and establish the wear model of the straightening roller; Solving the wear model to obtain an estimated wear amount of the straightening roller; constructing a simulated annealing algorithm model according to the estimated wear amount; Solving the simulated annealing algorithm model to obtain the individual fitness value of the straightening roller wear; The individual fitness value is used as a prediction value to predict the wear degree of the straightening roller.

2. The method for predicting wear of a straightening roller of a straightening machine according to claim 1, characterized in that: The parameters of the straightening rollers obtained are the parameters of several groups of straightening rollers in the same straightening machine. When obtaining the parameters, each straightening roller is evenly cut into several small pieces along the radial direction, and the wear of each piece is calculated, including the working parameters of the straightening rollers, the uneven wear parameters of the straightening rollers under actual measured conditions, and the coefficients of the established straightening roller wear model.

3. The method for predicting wear of a straightening roller of a straightening machine according to claim 1, characterized in that: The wear model is expressed as: Where: w ij represents the estimated wear of the jth straightening roller when straightening the i-th straightening material; k1 represents the model coefficient; P n represents the straightening force applied to the nth straightening roller during the straightening process; B represents the width of the straightened material; l c It represents the contact arc length between the straightening material and the straightening roller; k2 represents the load influence coefficient; L z Indicates the straightening kilometers of the straightening roller; π indicates the circumference of a circle; D w represents the diameter of the straightening roller; δ(x) represents the function describing the uneven degree of lateral wear of the straightening roller.

4. The method for predicting wear of a straightening roller of a straightening machine according to claim 3, characterized in that: The straightening force P on the nth straightening roller during the straightening process n Calculated by the following formula: Where: l represents the roller distance of the straightening machine; m n-1 、m n and m n+1 Respectively represent the bending moment ratios at the n-1th, nth and n+1th positions of the straightening roller; M t Represents the elastic limit bending moment of the straightening roller.

5. The method for predicting wear of a straightening roller of a straightening machine according to claim 3, characterized in that: The contact arc length l between the straightening material and the straightening roller c Calculated by the following formula: Where: Δh represents the amount of pressure reduction of the straightening material during the straightening process of the straightening roller; R w Indicates the radius of the straightening roller.

6. The method for predicting wear of a straightening roller of a straightening machine according to claim 3, characterized in that: The function δ(x) describing the uneven degree of lateral wear of the straightening roller is expressed as: Wherein: x represents the straightening area of ​​the straightening roller; x1-x7 represent the straightening wear area respectively, wherein x1 represents the distance from the reference edge to the edge of the wear area on the roller body of the straightening roller, which is located on the side of the reference edge of the straightening roller; x2 represents the distance from the reference edge to the first trough on the wear area; x3 represents the distance from the reference edge to the first highest point or peak on the wear area; x4 represents the distance from the reference edge to the second highest point or peak on the wear area; x5 represents the distance from the reference edge to the second trough on the wear area; x6 represents the distance from the reference edge to the operating side of the straightening roller, that is, away from the transmission side of the straightening roller, from the reference edge to the roller body of the straightening roller x7 represents the distance from the edge of the wear area on the body; x7 represents the length of the straightening roller body; Q1 and Q2 represent the edge wear ratios of the straightening roller on the transmission side and the operating side of the straightening machine; L1, L2, L3 and L4 represent the segments of the axial wear of the straightening roller, where L1 represents the distance from the edge of the wear area on the transmission side of the straightening roller to the first trough of the wear area, L2 represents the distance from the first trough of the wear area of ​​the straightening roller to the first highest point or peak, L3 represents the distance from the first highest point or peak of the wear area of ​​the straightening roller to the second trough, and L4 represents the distance from the edge of the wear area on the operating side of the straightening roller to the second trough of the wear area.

7. The method for predicting wear of a straightening roller of a straightening machine according to claim 6, characterized in that: The straightening wear area x1-x7 is calculated by the following formula: Where: L w Indicates the length of the straightening roller body.

8. The method for predicting wear of a straightening roller of a straightening machine according to claim 1, characterized in that: The simulated annealing algorithm model is expressed as: Among them: Fit represents the individual fitness value; ω i represents the weighted value of the fitness value of the i-th straightening roller; m represents the total number of straightening rollers of a straightening machine; C max express The maximum estimated value of ij represents the estimated wear amount of the jth straightening roller when straightening the i-th straightening material; w ij_m It represents the measured wear amount of the jth straightening roller when straightening the i-th straightening material; N represents the amount of straightening material in one roller changing cycle.

9. A straightening machine straightening roller wear prediction system, characterized in that: include: A wear model building module, wherein the wear model building module is used to obtain parameters of the straightening roller and build a wear model of the straightening roller; An estimated wear amount solving module, the estimated wear amount solving module is used to solve the wear model to obtain the estimated wear amount of the straightening roller; A simulated annealing algorithm model building module, wherein the simulated annealing algorithm model building module is used to build a simulated annealing algorithm model according to the estimated wear amount; An individual fitness value solving module, which is used to solve the simulated annealing algorithm model to obtain the individual fitness value of the straightening roller wear; A prediction module is used to predict the wear degree of the straightening roller by taking the individual fitness value as a prediction value.

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