A parameter optimization method and device based on a plate coil box coil type
By using visual analysis based on the side images of steel coils, the ellipticity and interlayer gap coefficient are determined, an evaluation level is established, and process parameters are automatically adjusted. This solves the problems of subjectivity and instability in the quality control of plate and coil boxes, and realizes quantitative closed-loop control and intelligent upgrading of coil quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHOUGANG QIANAN IRON & STEEL CO LTD
- Filing Date
- 2026-03-19
- Publication Date
- 2026-06-12
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Figure CN122184100A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of hot-rolled strip steel production technology, and in particular to a parameter optimization method and apparatus based on plate / coil / box roll shape. Background Technology
[0002] Currently, on hot-rolled strip steel production lines, the coil box is a key piece of equipment located between the roughing and finishing mills or as an independent coiling unit. Its main function is to coil intermediate billets into coils (i.e., strip coils) for heat preservation, storage, transportation, or uncoiling. The quality of the coil shape, i.e., the geometry of the strip coil, is a crucial factor affecting the success rate of subsequent uncoiling, rolling stability, and even the quality of the final product. An ideal coil shape should be a regular cylinder with tight adhesion between the steel layers.
[0003] With the expansion of hot-rolled product structures, especially the widespread application of high-strength steel and silicon steel, which are highly demanding and require high precision, the requirements for the quality of sheet and coil rolls are increasing. Different steel properties, incoming material specifications, and process conditions can easily lead to coil defects. Common defects include: elliptical coils, loose or misaligned ends, and coil folds. Defective rolls significantly increase the risk of uncoiling failures, leading to production accidents such as steel piling and misalignment, severely impacting production efficiency and yield.
[0004] Currently, the industry's monitoring and adjustment of sheet roll roll shape mainly relies on the experience of operators. Operators need to manually judge the roll shape status and manually intervene and adjust relevant process parameters based on their personal experience. This model has significant drawbacks: First, manual judgment lacks objective and unified quantitative standards, is highly subjective, and has poor consistency; second, the rules for adjusting process parameters are vague and highly dependent on personal experience, making it difficult to form standardized and solidified optimization strategies; finally, there is a lack of systematic analysis and closed-loop feedback mechanisms for the quantitative relationship between roll shape defects and process parameters, leading to repeated problems, low parameter adjustment efficiency, and unstable results.
[0005] Therefore, there is an urgent need for a method that can automatically evaluate roll type and provide deterministic and quantitative parameter optimization strategies to improve the intelligence and reliability of roll type quality control in sheet roll boxes. Summary of the Invention
[0006] In order to achieve objective and quantitative evaluation of the quality of sheet roll box roll shape and adaptive and automated optimization of process parameters, this invention provides a parameter optimization method and device based on sheet roll box roll shape.
[0007] In a first aspect, embodiments of the present invention provide a parameter optimization method based on the roll type of a plate roll box, which may include: Based on the side image of the steel coil, the ellipticity and interlayer gap coefficient of the steel coil are determined; wherein, the side image of the steel coil is acquired after the steel coil winding process is completed in the plate coil box; The ellipticity evaluation level of the steel coil is determined based on its ellipticity. The interlayer gap evaluation level of the steel coil is determined based on the interlayer gap coefficient of the steel coil. Based on the ellipticity evaluation level and the interlayer gap evaluation level, the corresponding process parameter adjustment strategy is executed; The process parameter adjustment strategy includes quantitatively adjusting at least one of the following: the gap between the exit bending roller and the inlet bending roller, the opening of the exit side guide plate, the opening of the stabilizer, and the belt threading speed.
[0008] In one or more optional embodiments of this application, determining the ellipticity and interlayer gap coefficient of the steel coil based on a side image of the steel coil includes: Based on the side image of the steel coil, the outline edge of the steel coil is identified and a fitted ellipse is obtained; Determine the major and minor semi-axis of the fitted ellipse; The ellipticity is calculated based on the major semi-axis and the minor semi-axis; Based on the side view of the steel coil, the thickness of the intermediate slab of the steel coil and the gap width of each layer of steel coil in the steel coil are determined. The interlayer gap coefficient is obtained based on the thickness of the intermediate billet and the gap width of each layer of steel coil in the steel coil.
[0009] In one or more optional embodiments of this application, determining the ellipticity evaluation level of the steel coil based on its ellipticity includes: If the ellipticity is less than or equal to the first preset ellipticity threshold, then the ellipticity evaluation level is determined to be poor. If the ellipticity is greater than the first preset ellipticity threshold and less than or equal to the second preset ellipticity threshold, then the ellipticity evaluation level is determined to be good. If the ellipticity is greater than the second preset ellipticity threshold, then the ellipticity evaluation level is determined to be excellent.
[0010] In one or more optional embodiments of this application, determining the interlayer gap evaluation level of the steel coil based on the interlayer gap coefficient includes: If the interlayer gap coefficient is greater than the first preset interlayer gap coefficient threshold, then the interlayer gap evaluation level is determined to be poor. If the interlayer gap coefficient is less than or equal to the first preset interlayer gap coefficient threshold and greater than the second preset interlayer gap coefficient threshold, then the interlayer gap evaluation level is determined to be good. If the interlayer gap coefficient is less than or equal to the second preset interlayer gap coefficient threshold, then the interlayer gap evaluation level is determined to be excellent.
[0011] In one or more optional embodiments of this application, the step of executing a corresponding process parameter adjustment strategy based on the ellipticity evaluation level and the interlayer gap evaluation level includes: Based on the ellipticity evaluation level, execute the corresponding process parameter adjustment strategy; Based on the interlayer gap evaluation level, the corresponding process parameter adjustment strategy is implemented.
[0012] In one or more optional embodiments of this application, the ellipticity evaluation level includes poor, good, and excellent. The step of implementing the corresponding process parameter adjustment strategy based on the ellipticity evaluation level includes: If the ellipticity evaluation level is poor, the threading speed is reduced by a first preset ratio, and the exit bending roller is controlled to perform a preset roller gap calibration step. If the ellipticity evaluation level is good, the roll gap offset of the exit bending roll is increased by a first preset compensation value.
[0013] In one or more optional embodiments of this application, the control of the exit bending roller to perform a preset roll gap calibration step includes: Control the movement of the outlet bending roller so that the outlet bending roller and the corresponding load-bearing component enter a stable full contact state; The roll gap position setting value of the exit bending roll is reset to zero to complete the recalibration of the roll gap.
[0014] In one or more optional embodiments of this application, the interlayer gap evaluation level includes poor, good, and excellent; The step of implementing a corresponding process parameter adjustment strategy based on the interlayer gap evaluation level includes: If the interlayer gap evaluation level is poor, the opening offset of the outlet side guide plate will be reduced by a second preset compensation value; wherein, the opening of the outlet side guide plate is determined by the sum of the slab width and the opening offset of the outlet side guide plate. If the interlayer gap evaluation level is good, the roll gap lifting speed of the inlet bending roll is increased by a second preset ratio, and the opening offset of the stabilizer is reduced by a third preset compensation value; wherein, the opening of the stabilizer is determined by the sum of the slab width and the opening offset of the stabilizer.
[0015] Secondly, embodiments of the present invention provide a parameter optimization device based on the roll shape of a sheet roll box, which may include: The first determining module is used to determine the ellipticity and interlayer gap coefficient of the steel coil based on the side image of the steel coil; wherein the side image of the steel coil is acquired after the steel coil winding process is completed in the plate and coil box; The second determining module is used to determine the ellipticity evaluation level of the steel coil based on the ellipticity of the steel coil. The third determining module is used to determine the interlayer gap evaluation level of the steel coil based on the interlayer gap coefficient of the steel coil; The adjustment execution module is used to execute the corresponding process parameter adjustment strategy based on the ellipticity evaluation level and the interlayer gap evaluation level. The process parameter adjustment strategy includes quantitatively adjusting at least one of the following: the gap between the exit bending roller and the inlet bending roller, the opening of the exit side guide plate, the opening of the stabilizer, and the belt threading speed.
[0016] Thirdly, embodiments of the present invention provide a computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the parameter optimization method based on the roll type of the roll box as described above.
[0017] Fourthly, embodiments of the present invention provide a computer program product, including a computer program / instruction, which, when executed by a processor, implements the parameter optimization method based on the roll type of the board roll box as described above.
[0018] Fifthly, embodiments of the present invention provide a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the parameter optimization method based on the roll type of the board roll box as described above.
[0019] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following: This invention provides a parameter optimization method based on the roll shape of a sheet roll box. This method combines visual image analysis with automated control logic to achieve quantitative closed-loop control of the roll shape quality. This method transforms the subjective and vague roll shape evaluation, which relies on human eyes and experience, into an objective and quantitative evaluation system based on ellipticity and interlayer gap coefficient, greatly improving the consistency and accuracy of the evaluation. Furthermore, this method can automatically match and execute corresponding adjustment strategies based on the evaluation level, such as precisely adjusting roll gap, speed, and opening degree. This transforms the parameter adjustment process, which previously relied on individual expert experience, into a data-driven, repeatable automated operation. This not only significantly reduces the intensity and lag of manual intervention but also effectively improves the stability of roll shape quality and the unwinding success rate, providing a reliable technical path for the intelligent upgrading of production lines.
[0020] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.
[0021] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description
[0022] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 A flowchart illustrating the parameter optimization method based on the roll shape of a plate roll box provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of the plate roll box provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of a staggered floor plan provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of an elliptical roll provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of roll folding provided for an embodiment of the present invention; Figure 6 This is a schematic diagram of the fitted ellipse provided in an embodiment of the present invention; Figure 7 This is a schematic diagram of the side view of a steel coil provided in an embodiment of the present invention; Figure 8 A framework diagram of the parameter optimization method based on the roll shape of the plate roll box provided in the embodiments of the present invention; Figure 9 This is a schematic diagram of the parameter optimization device based on the roll shape of the plate roll box provided in an embodiment of the present invention. Detailed Implementation
[0023] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
[0024] The inventors discovered that in existing technologies, the monitoring and adjustment of sheet roll box roll shape mainly relies on the experience of operators. Operators need to manually judge the roll shape status and manually intervene and adjust relevant process parameters based on personal experience. This model has significant drawbacks: First, manual judgment lacks objective and unified quantitative standards, is highly subjective, and has poor consistency; second, the rules for adjusting process parameters are vague and highly dependent on personal experience, making it difficult to form standardized and solidifiable optimization strategies; finally, there is a lack of systematic analysis and closed-loop feedback mechanisms for the quantitative relationship between roll shape defects and process parameters, leading to repeated problems, low parameter adjustment efficiency, and unstable results. Based on this, the inventors, through further research and development, have created this invention, providing a parameter optimization method and apparatus based on sheet roll box roll shape.
[0025] Example 1 Embodiment 1 of the present invention provides a parameter optimization method based on the roll shape of the plate roll box, referring to... Figure 1 As shown, the method may include the following steps S101-S104: S101: Determine the ellipticity and interlayer gap coefficient of the steel coil based on the side image of the steel coil. The side image of the steel coil is acquired after the coil winding process is completed in the plate and coil box.
[0026] S102: Determine the ellipticity evaluation level of the steel coil based on its ellipticity.
[0027] S103: Determine the interlayer gap evaluation level of the steel coil based on the interlayer gap coefficient.
[0028] S104: Based on the ellipticity evaluation level and the interlayer gap evaluation level, implement the corresponding process parameter adjustment strategy.
[0029] The process parameter adjustment strategy includes quantitatively adjusting at least one of the following: the gap between the exit bending rollers, the gap between the inlet bending rollers, the opening of the exit side guide plate, the opening of the stabilizer, and the belt threading speed.
[0030] This invention provides a parameter optimization method based on the roll shape of a sheet roll box. This method combines visual image analysis with automated control logic to achieve quantitative closed-loop control of the roll shape quality. This method transforms the subjective and vague roll shape evaluation, which relies on human eyes and experience, into an objective and quantitative evaluation system based on ellipticity and interlayer gap coefficient, greatly improving the consistency and accuracy of the evaluation. Furthermore, this method can automatically match and execute corresponding adjustment strategies based on the evaluation level, such as precisely adjusting roll gap, speed, and opening degree. This transforms the parameter adjustment process, which previously relied on individual expert experience, into a data-driven, repeatable automated operation. This not only significantly reduces the intensity and lag of manual intervention but also effectively improves the stability of roll shape quality and the unwinding success rate, providing a reliable technical path for the intelligent upgrading of production lines.
[0031] To facilitate understanding by those skilled in the art, the key structural components of the sheet roll box will be described in detail below: (Refer to...) Figure 2 As shown in the diagram, the winding process is mainly completed by a group of rollers with different functions working together. The inlet bending roller is located at the beginning of the drum, and its function is to apply an initial bending force to the head of the steel plate, guiding the steel plate to smoothly bite into the rotating drum and form a regular coil eye. The forming roller works in conjunction with it to ensure the stability of the initial coil shape. When the tail of the steel plate is about to leave the drum, the outlet bending roller comes into play, performing a final bending and shaping of the tail to prevent it from loosening or swinging, ensuring a neat coil tail. Below the drum, the No. 1 support roller (roller 1B) and the No. 2 support roller (roller 2A) are used to support the gradually increasing weight of the steel coil, preventing the drum from deforming, and at the same time, by applying a certain constraint force to the contact with the outer surface of the steel coil, they help maintain the circular outline of the steel coil. It should be noted that... Figure 2 The main focus is on the core bending and support components that directly affect the roll shape, while other equally critical guiding and restraining devices such as the exit side guide plate and stabilizer are not shown. These devices are also involved in the subsequent parameter adjustment strategy.
[0032] Meanwhile, this provides Figures 3 to 5 The images show three common roll defects encountered in actual production, visually illustrating the core problem that this method aims to solve. Figure 3 The image shows a misalignment defect, which is characterized by the misalignment between the layers on the end face of the steel coil, resulting in a stepped offset. Figure 4 The image shows an elliptical coil defect; the cross-section of the steel coil is significantly deviated from a circle and is elliptical. Figure 5 The image shows a coil folding defect, where the steel sheet undergoes severe folding during the coiling process. These defective coil shapes will seriously affect the stability and yield of subsequent uncoiling processes.
[0033] Based on the above analysis of structure and defects, two core mechanisms affecting the quality of the roll can be summarized.
[0034] First, the elliptical coil problem is one of the key indicators for evaluating the appearance of the coil. In actual production, various factors can ultimately lead to the ellipticalization of the steel coil. Elliptical coils not only affect the appearance but also trigger a chain of process problems: the contact between the outer surface of the elliptical steel coil and the No. 1 support roll becomes unstable, sometimes present and sometimes absent. This directly leads to loosening of the coil at the tail end due to uneven support. In severe cases, this unstable contact and deformation can disrupt the balance of the rolling process; that is, the speed at which the front bending rolls convey the steel plate may be faster than the coiling speed of the rear support rolls, thus causing steel piling accidents.
[0035] Secondly, the interlayer gap is a core indicator of the internal tightness of the steel coil. An abnormally large interlayer gap directly reflects a poor coiling process and is usually accompanied by obvious interlayer misalignment. This loose internal structure can easily cause the centerline of the steel strip to deviate during subsequent uncoiling, making the threading process unstable and directly affecting the smooth progress of finishing rolling or delivery processes.
[0036] To overcome the aforementioned drawbacks and achieve accurate quantitative evaluation of the elliptical roll and interlayer gap issues, this paper proposes a parameter optimization method based on the roll shape of the plate roll box. The specific steps are as follows: In step S101 above, the ellipticity and interlayer gap coefficient of the steel coil are determined based on the side image of the steel coil. The side image of the steel coil is acquired after the coil winding process is completed in the plate and coil box. Specifically, this includes the following steps S1011-S1015: S1011: Based on the side image of the steel coil, identify the outline edge of the steel coil and fit an ellipse.
[0037] Specifically, one or more industrial-grade area scan cameras can be deployed at a specific location on the side of the coil winding station to ensure that their optical axes are perpendicular to the end face of the steel coil. The cameras are equipped with lenses of appropriate focal length and light sources to capture a grayscale or color digital image that covers the entire end face of the steel coil, is uniformly illuminated, and has a clear outline as the original image when winding is complete and the steel coil is stationary.
[0038] The original image is then preprocessed, including noise reduction using Gaussian filtering and contrast enhancement using histogram equalization. Subsequently, the Canny edge detection algorithm is used to accurately extract the contour edges of the steel coil, i.e., the pixel set of the outer contour. Ellipse fitting is then performed on this contour point set using least squares and other fitting algorithms to obtain the fitted ellipse equation that best represents the overall shape of the steel coil.
[0039] S1012: Determine the major and minor semi-axis of the fitted ellipse.
[0040] Specifically, this can be achieved by analytically obtaining the major and minor axes of the fitted ellipse from the fitted ellipse equation obtained in step S1011. For example... Figure 6As shown, the top is a schematic diagram of the steel coil, and the bottom is a schematic diagram of the fitted ellipse. The major semi-axis corresponds to the direction of the maximum radius in the fitted ellipse, and the minor semi-axis corresponds to the direction of the minimum radius perpendicular to it.
[0041] S1013: The ellipticity is calculated based on the major and minor semi-axes.
[0042] Specifically, the ellipticity can be calculated using the following formula 1:
[0043] in, e The ellipticity, a For the major half-axis, b The minor axis is denoted by . Ellipticity is a dimensionless value between 0 and 1. A value closer to 0 indicates a coil that is closer to a perfect circle, while a value closer to 1 indicates a more elongated and flattened ellipse.
[0044] S1014: Based on the side image of the steel coil, determine the thickness of the intermediate slab of the steel coil and the gap width of each layer of steel coil in the steel coil.
[0045] Specifically, the intermediate billet thickness refers to the nominal thickness of the hot-rolled steel plate before it enters the coil box for coiling. This parameter is a known process setting value or is provided in real time by measuring instruments in the upstream process, and can be directly obtained from the production process control system.
[0046] The gap width was measured based on the layered concentric circle structure in the side image of the steel coil, such as... Figure 7 As shown. First, determine the coordinates of the coil winding center in the image. Then, using this center as the origin, take measurements along a fixed radial ray. On this ray, identify and measure the distance d1 from the center to the outermost coil's outer contour, the distance d2 to the adjacent second layer's outer contour, and so on, to obtain a series of distance values d1, d2, ..., dn. The difference between two adjacent distance values is the gap width between the corresponding layers. For example, the first layer gap width p1 = d1 - d2, the second layer gap width p2 = d2 - d3, and so on.
[0047] S1015: The interlayer gap coefficient is obtained based on the thickness of the intermediate billet and the gap width of each layer of steel coil in the steel coil.
[0048] Specifically, the calculation of the interlayer gap coefficient is crucial for evaluating coil tightness. First, based on the gap width of each layer of steel coil measured in step S1014, the average of multiple gap widths is calculated as the average gap width p. Then, the ratio p / h is calculated based on the average gap width p and the intermediate billet thickness h; this ratio p / h is the interlayer gap coefficient. This interlayer gap coefficient is a dimensionless parameter; the smaller its value, the tighter the coil. Ideally, it should approach 1, indicating a tight fit between layers with no excess gaps.
[0049] In step S102 above, the ellipticity evaluation level of the steel coil is determined based on its ellipticity. Specifically, this includes the following steps S1021-S1023: S1021: If the ellipticity is less than or equal to the first preset ellipticity threshold, then the ellipticity evaluation level is determined to be poor.
[0050] Specifically, an ellipticity rating of "poor" can be used to indicate severe deformation of the coil shape. When the ellipticity is lower than or equal to a first preset ellipticity threshold, it indicates that the cross-section of the steel coil has significantly deviated from a circle, exhibiting a distinct elliptical shape. This usually signifies a major problem in the coiling process, such as abnormal equipment status or severe mismatch of key process parameters, requiring immediate corrective measures. The first preset ellipticity threshold can be set to 0.6, for example.
[0051] S1022: If the ellipticity is greater than the first preset ellipticity threshold and less than or equal to the second preset ellipticity threshold, then the ellipticity evaluation level is determined to be good.
[0052] Specifically, an ellipticity rating of "Good" indicates that the coil shape is acceptable but requires optimization. An ellipticity rating falling within the range of a first preset ellipticity threshold and a second preset ellipticity threshold indicates a slight elliptical deformation in the coil's shape. While this does not affect basic downstream operations, it poses a potential quality hazard, requiring preventative parameter fine-tuning to suppress further defect development and improve quality stability. The second preset ellipticity threshold can be set to, for example, 0.8.
[0053] S1023: If the ellipticity is greater than the second preset ellipticity threshold, then the ellipticity evaluation level is determined to be excellent.
[0054] Specifically, an ellipticity rating of "Excellent" indicates superior coil quality. When the ellipticity exceeds a second preset threshold, it means the coil's cross-section is very close to an ideal circle, and the coil shape is regular. A coil achieving this rating typically signifies good matching of relevant process parameters and stable equipment operation, representing the target state for coiling operations, and generally requiring no additional parameter adjustments.
[0055] In step S103 above, the interlayer gap evaluation level of the steel coil is determined based on the interlayer gap coefficient. Specifically, this includes the following steps S1031-S1033: S1031: If the interlayer gap coefficient is greater than the first preset interlayer gap coefficient threshold, then the interlayer gap evaluation level is determined to be poor.
[0056] Specifically, a poor interlayer gap rating can be used to indicate severe looseness or misalignment in the internal structure of the steel coil. When the interlayer gap coefficient exceeds a first preset interlayer gap coefficient threshold, it indicates that the layers of the steel coil are not tightly bonded, and the coiling compactness is severely insufficient. Such coils are prone to strip centerline deviation during subsequent uncoiling, seriously affecting the threading stability and rolling quality, requiring immediate process intervention. The first preset interlayer gap coefficient threshold can be exemplarily set to 1.5.
[0057] S1032: If the interlayer gap coefficient is less than or equal to the first preset interlayer gap coefficient threshold and greater than the second preset interlayer gap coefficient threshold, then the interlayer gap evaluation level is determined to be good.
[0058] Specifically, a "Good" interlayer gap evaluation level indicates that the internal compactness of the steel coil is within an acceptable range, but there is still room for optimization. An interlayer gap coefficient falling within the range defined by a first preset interlayer gap coefficient threshold and a second preset interlayer gap coefficient threshold indicates that the winding process is basically normal, but there is a slight tendency towards loosening, possibly manifested as slight misalignment at the tail end. To prevent the problem from worsening and to further improve the coil quality, targeted parameter adjustments are needed. The second preset interlayer gap coefficient threshold can be set to 1.2 as an example.
[0059] S1033: If the interlayer gap coefficient is less than or equal to the second preset interlayer gap coefficient threshold, then the interlayer gap evaluation level is determined to be excellent.
[0060] Specifically, an "Excellent" interlayer gap evaluation level indicates a tight internal structure and excellent winding quality in the steel coil. When the interlayer gap coefficient is lower than or equal to the second preset interlayer gap coefficient threshold, it indicates that the steel coil layers are well bonded and have high compactness. This type of coil exhibits good stability during subsequent uncoiling and represents an ideal winding state. Reaching this level usually indicates that the relevant winding parameters are set reasonably and do not require modification.
[0061] In step S104 above, the corresponding process parameter adjustment strategy is executed based on the ellipticity evaluation level and the interlayer gap evaluation level. Specifically, this includes the following steps S1041-S1042: S1041: Based on the ellipticity evaluation level, implement the corresponding process parameter adjustment strategy. This specifically includes the following steps: S10411-S10412: S10411: If the ellipticity evaluation level is poor, the threading speed will be reduced by the first preset ratio, and the exit bending roller will be controlled to perform the preset roller gap calibration step.
[0062] Specifically, when the ellipticity evaluation level is judged to be poor, it indicates that the poor roll shape is closely related to the initial winding state and the equipment's reference accuracy. Therefore, the corresponding process parameter adjustment strategy needs to control the threading speed to reduce by a first preset percentage, which can be exemplarily set to 10%, to mitigate the impact and forming conditions when the steel plate enters the roll, thereby creating conditions to improve the quality of the roll eye. On the other hand, it needs to control the exit bending roll to perform a preset roll gap calibration step to eliminate mechanical backlash and zero-point drift caused by long-term equipment operation, ensuring the absolute accuracy of the roll gap control command.
[0063] The preset roll gap calibration step includes the following steps S104111-S104112: S104111: Controls the movement of the exit bending roller to ensure that the exit bending roller and the corresponding load-bearing component enter a stable full contact state.
[0064] Specifically, a command can be sent to the hydraulic actuator driving the exit bending roller to move the roller body downwards or towards the fixed load-bearing component reference surface. During the movement, the pressure acting on both sides of the roller body is monitored in real time. When the readings of the pressure sensors on both sides reach the preset reference force value, it is determined that the mechanical gap between the roller surface and the load-bearing component has been completely eliminated, and a stable full contact state has been entered. The preset reference force value can be set to 70 kN for example.
[0065] S104112: Reset the roll gap position setting of the exit bending roll to zero to complete the recalibration of the roll gap.
[0066] Specifically, this can be achieved by sending a zero-point reset command to the roll gap adjustment module while maintaining full contact. This command forcibly defines the actual physical position of the exit bending roll at this moment as its zero-point reference in the control system logic. Thereafter, all roll gap setpoints will be calculated and controlled using this new zero point as the origin, thereby ensuring the long-term accuracy and synchronicity of the roll gap control.
[0067] S10412: If the ellipticity evaluation level is good, the roll gap offset of the exit bending roll will be increased by the first preset compensation value.
[0068] Specifically, when the ellipticity evaluation level is determined to be "good," the adjustment strategy focuses on fine-tuning the bending force at the end of the winding process. By increasing the roll gap offset of the exit bending roll by a first preset compensation value, the actual roll gap at the winding tail is increased. This reduces the excessive constraint and bending effect of the exit bending roll on the tail of the steel plate, which helps release winding stress and makes the stress on each layer of the steel coil more uniform, thereby promoting its recovery to a more regular circle. The first preset compensation value can be set to 2 mm for example.
[0069] S1042: Based on the interlayer gap evaluation level, implement the corresponding process parameter adjustment strategy. This specifically includes the following steps S10421-S10422: S10421: If the interlayer gap evaluation level is poor, the opening offset of the outlet side guide plate will be reduced by a second preset compensation value. The opening of the outlet side guide plate is determined by the sum of the slab width and the opening offset of the outlet side guide plate.
[0070] Specifically, a poor interlayer gap evaluation level indicates severe interlayer misalignment and looseness in the coiled steel. This problem typically stems from poor alignment and lateral deviation of the steel plate upon entering the coiling area. To correct this problem at its root, the corresponding process parameter adjustment strategy is to reduce the opening offset of the exit side guide plate by a second preset compensation value. This is equivalent to actively reducing the actual opening between the two side guide plates when the next steel plate enters, making it narrower than the theoretical width. This enhances the mechanical constraint and correction capability of the side guide plates on the steel plate edges, forcing the steel plate to align more precisely with the coiling centerline, thereby reducing interlayer misalignment caused by deviation at the source. The second preset compensation value can be exemplarily set to 10 mm.
[0071] S10422: If the interlayer gap evaluation level is good, the roll gap lifting speed of the inlet bending roll is increased by a second preset ratio, and the opening offset of the stabilizer is reduced by a third preset compensation value. The opening of the stabilizer is determined by the sum of the slab width and the opening offset of the stabilizer.
[0072] Specifically, when the interlayer gap evaluation level is "good," it indicates that the coil shape is slightly loose, but has not yet formed serious misalignment. The corresponding process parameter adjustment strategy is dually targeted: First, increase the roll gap lifting speed of the inlet bending roll, meaning that when winding the tail of the steel plate, instruct the inlet bending roll to lift and open at a faster speed. This allows the inlet bending roll to disengage from the tail of the plate earlier and more quickly, reducing continuous bending and intervention in the tail area, which helps improve the neatness of the coil tail. Second, reduce the opening offset of the stabilizer by a third preset compensation value, that is, reduce the actual opening of the stabilizer around the steel coil, so that the stabilizer can apply a greater radial clamping force to the coiled steel, compacting the loose steel layers like a tighter "hoop," improving the overall compactness of the coil shape. These two adjustments work together to optimize the interlayer gap from two dimensions: the timing control of the winding process and the post-winding shaping. The second preset ratio can be set to 10% for example, and the third preset compensation value can be set to 10 mm for example.
[0073] To facilitate understanding of this solution by those skilled in the art, the overall implementation framework of the invention shown in the accompanying drawings is described in detail below: like Figure 8 As shown, this method begins with data acquisition at the physical layer: at a specific moment after the coiling process in the coil box is completed, a camera deployed on the side acquires a real-time image of the side of the coiled steel coil. This image is then uploaded to the host computer via a communication network.
[0074] The host computer is the central component of the entire method. It performs image analysis and feature extraction, processing the acquired side images and quantitatively evaluating two core indicators: ellipticity and interlayer gap. Specifically, it calculates the ellipticity of the steel coil using image recognition and fitting techniques, and calculates the interlayer gap coefficient through layered structure analysis. This process transforms the originally vague visual perception into precise digital indicators.
[0075] Next, the host computer enters the decision-making and output stage. Based on the above quantitative evaluation results, it analyzes and generates targeted roll type parameter adjustment methods, i.e., process parameter adjustment strategies.
[0076] Ultimately, these specific, quantified process parameter adjustment strategies derived from analysis will form clear instructions or operational suggestions, which will be fed back to the primary control system of the plate and coil box. This achieves full automation and digitization of the entire process from visual imaging acquisition to quantitative evaluation and analysis to the generation of process parameter adjustment strategies.
[0077] In summary, the core of this method lies in establishing and implementing this closed-loop mechanism. It not only constructs a hardware imaging system to obtain visual images, but more importantly, it introduces two quantitative evaluation dimensions: ellipticity and interlayer gap coefficient. Based on these, it establishes a deterministic mapping rule from quantitative evaluation to specific parameter adjustment strategies. This mechanism can effectively guide and even replace manual experience, achieving continuous and accurate feedback and optimization of roll box parameters, thereby improving the intelligence level and stability of roll quality control.
[0078] Example 2 Based on the same inventive concept, embodiments of the present invention also provide a parameter optimization device based on the roll shape of a sheet roll box, referring to... Figure 9 As shown, the device includes: The first determining module 101 is used to determine the ellipticity and interlayer gap coefficient of the steel coil based on the side image of the steel coil; wherein the side image of the steel coil is acquired after the steel coil winding process is completed in the plate and coil box; The second determining module 102 is used to determine the ellipticity evaluation level of the steel coil based on the ellipticity of the steel coil. The third determining module 103 is used to determine the interlayer gap evaluation level of the steel coil based on the interlayer gap coefficient of the steel coil. The adjustment execution module 104 is used to execute the corresponding process parameter adjustment strategy according to the ellipticity evaluation level and the interlayer gap evaluation level; The process parameter adjustment strategy includes quantitatively adjusting at least one of the following: the gap between the exit bending roller and the inlet bending roller, the opening of the exit side guide plate, the opening of the stabilizer, and the belt threading speed.
[0079] Example 3 Based on the same inventive concept, embodiments of the present invention also provide a computer-readable storage medium storing a computer program / instructions thereon, which, when executed by a processor, implements the parameter optimization method based on the roll type of the roll box as described in Embodiment 1 above.
[0080] Example 4 Based on the same inventive concept, embodiments of the present invention also provide a computer program product, including a computer program / instruction, which, when executed by a processor, implements the parameter optimization method based on the roll type of the roll box as described in Embodiment 1 above.
[0081] Example 5 Based on the same inventive concept, this embodiment of the invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory. When the processor executes the computer program, it implements the parameter optimization method based on the roll type of the plate roll box as described in Embodiment 1 above.
[0082] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.
[0083] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0084] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0085] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0086] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A parameter optimization method based on plate roll box roll type, characterized in that, include: Based on the side image of the steel coil, the ellipticity and interlayer gap coefficient of the steel coil are determined; wherein, the side image of the steel coil is acquired after the steel coil winding process is completed in the plate coil box; The ellipticity evaluation level of the steel coil is determined based on its ellipticity. The interlayer gap evaluation level of the steel coil is determined based on the interlayer gap coefficient of the steel coil. Based on the ellipticity evaluation level and the interlayer gap evaluation level, the corresponding process parameter adjustment strategy is executed; The process parameter adjustment strategy includes quantitatively adjusting at least one of the following: the gap between the exit bending roller and the inlet bending roller, the opening of the exit side guide plate, the opening of the stabilizer, and the belt threading speed.
2. The method according to claim 1, characterized in that, The determination of the ellipticity and interlayer gap coefficient of the steel coil based on the side image of the steel coil includes: Based on the side image of the steel coil, the outline edge of the steel coil is identified and a fitted ellipse is obtained; Determine the major and minor semi-axis of the fitted ellipse; The ellipticity is calculated based on the major semi-axis and the minor semi-axis; Based on the side view of the steel coil, the thickness of the intermediate slab of the steel coil and the gap width of each layer of steel coil in the steel coil are determined. The interlayer gap coefficient is obtained based on the thickness of the intermediate billet and the gap width of each layer of steel coil in the steel coil.
3. The method according to claim 1, characterized in that, The step of determining the ellipticity evaluation grade of the steel coil based on its ellipticity includes: If the ellipticity is less than or equal to the first preset ellipticity threshold, then the ellipticity evaluation level is determined to be poor. If the ellipticity is greater than the first preset ellipticity threshold and less than or equal to the second preset ellipticity threshold, then the ellipticity evaluation level is determined to be good. If the ellipticity is greater than the second preset ellipticity threshold, then the ellipticity evaluation level is determined to be excellent.
4. The method according to claim 1, characterized in that, The step of determining the interlayer gap evaluation level of the steel coil based on the interlayer gap coefficient includes: If the interlayer gap coefficient is greater than the first preset interlayer gap coefficient threshold, then the interlayer gap evaluation level is determined to be poor. If the interlayer gap coefficient is less than or equal to the first preset interlayer gap coefficient threshold and greater than the second preset interlayer gap coefficient threshold, then the interlayer gap evaluation level is determined to be good. If the interlayer gap coefficient is less than or equal to the second preset interlayer gap coefficient threshold, then the interlayer gap evaluation level is determined to be excellent.
5. The method according to claim 1, characterized in that, The step of implementing a corresponding process parameter adjustment strategy based on the ellipticity evaluation level and the interlayer gap evaluation level includes: Based on the ellipticity evaluation level, execute the corresponding process parameter adjustment strategy; Based on the interlayer gap evaluation level, the corresponding process parameter adjustment strategy is implemented.
6. The method according to claim 5, characterized in that, The ellipticity evaluation grades include poor, good, and excellent. The step of implementing the corresponding process parameter adjustment strategy based on the ellipticity evaluation level includes: If the ellipticity evaluation level is poor, the threading speed is reduced by a first preset ratio, and the exit bending roller is controlled to perform a preset roller gap calibration step. If the ellipticity evaluation level is good, the roll gap offset of the exit bending roll is increased by a first preset compensation value.
7. The method according to claim 6, characterized in that, The control exit bending roller performs a preset roll gap calibration step, including: Control the movement of the outlet bending roller so that the outlet bending roller and the corresponding load-bearing component enter a stable full contact state; The roll gap position setting value of the exit bending roll is reset to zero to complete the recalibration of the roll gap.
8. The method according to claim 5, characterized in that, The interlayer gap evaluation grades include poor, good, and excellent. The step of implementing a corresponding process parameter adjustment strategy based on the interlayer gap evaluation level includes: If the interlayer gap evaluation level is poor, the opening offset of the outlet side guide plate will be reduced by a second preset compensation value; wherein, the opening of the outlet side guide plate is determined by the sum of the slab width and the opening offset of the outlet side guide plate. If the interlayer gap evaluation level is good, the roll gap lifting speed of the inlet bending roll is increased by a second preset ratio, and the opening offset of the stabilizer is reduced by a third preset compensation value; wherein, the opening of the stabilizer is determined by the sum of the slab width and the opening offset of the stabilizer.
9. A parameter optimization device based on plate roll box roll type, characterized in that, include: The first determining module is used to determine the ellipticity and interlayer gap coefficient of the steel coil based on the side image of the steel coil; wherein the side image of the steel coil is acquired after the steel coil winding process is completed in the plate and coil box; The second determining module is used to determine the ellipticity evaluation level of the steel coil based on the ellipticity of the steel coil. The third determining module is used to determine the interlayer gap evaluation level of the steel coil based on the interlayer gap coefficient of the steel coil; The adjustment execution module is used to execute the corresponding process parameter adjustment strategy based on the ellipticity evaluation level and the interlayer gap evaluation level. The process parameter adjustment strategy includes quantitatively adjusting at least one of the following: the gap between the exit bending roller and the inlet bending roller, the opening of the exit side guide plate, the opening of the stabilizer, and the belt threading speed.
10. A computer device, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the parameter optimization method based on the roll type of the roll box as described in any one of claims 1-8.