Steel plate shearing method, device and equipment and storage medium

Abstract

The invention provides a steel plate shearing method, device and equipment and a storage medium, and the method comprises the steps: obtaining the planned length of a steel plate, the original length of a target steel plate and a surface defect, and determining the maximum obtained length of the target steel plate according to the original length of the target steel plate and the surface defect; determining a shearing position and a sampling position of the target steel plate according to the maximum obtained length and the sampling length of the target steel plate; and pushing the target steel plate to a fixed-length shear, and positioning and shearing the steel plate according to a calculation result. By automatically obtaining the size and defect information of the steel plate and accurately calculating the shearing position, automation and intelligence of the steel plate shearing process are achieved, the shearing precision is improved, raw material waste is reduced, and the shearing efficiency of the steel plate is improved.

Description

Technical Field

[0001] This invention relates to the field of metallurgical technology, and in particular to a method, apparatus, equipment and storage medium for shearing steel plates. Background Technology

[0002] Before steelmaking, steel plates need to be sheared to specified dimensions. Currently, the process involves one person reading a ruler and marking lines, while another operates the roller conveyor, aligning the shear blade with the marked lines on the steel plate surface, and performing the shearing operation. If defects exist on the steel plate surface, the marking personnel observe and determine the shearing location to ensure the finished steel plate does not have defects that do not meet standards. For steel plates with large head and tail curves, operators need to cut the head or tail curves multiple times to complete the cut, with the distance of each cut being variable and subject to subjective judgment based on the operator's experience. This experience-based operation results in significant shearing errors and substantial metal loss. Furthermore, sampling steel plates require partial shearing of the mother plate before being removed from the shearing machine for manual marking, and then re-entering the shearing machine for sampling and length determination, leading to low work efficiency and impacting production rhythm. Summary of the Invention

[0003] This invention provides a steel plate shearing method, apparatus, equipment, and storage medium to solve the technical problem of low shearing efficiency caused by manual operation.

[0004] This invention provides a steel plate shearing method, apparatus, equipment, and storage medium, wherein the steel plate shearing method, apparatus, equipment, and storage medium include: The planned length of the steel plate, the original length of the target steel plate, and the surface defects are obtained. The maximum obtainable length of the target steel plate is determined based on the original length of the target steel plate and the surface defects. Based on the maximum obtainable length of the target steel plate and the sampling length, determine the shearing position and sampling position of the target steel plate; The target steel plate is pushed to the fixed-length shear, and the steel plate is positioned and cut according to the calculation results.

[0005] In one embodiment of the present invention, determining the maximum obtainable length of the target steel plate based on its original length and surface defects includes: Obtain the main body length of the target steel plate, the arc lengths at both ends of the target steel plate, and the location of defects in the target steel plate; The maximum obtainable length of the target steel plate is obtained based on its original length, the arc lengths at both ends, and the location of any defects. The maximum obtainable length of the target steel plate is: L1=Labc Where L1 is the maximum obtained length of the target steel plate, L is the original length of the target steel plate, a is the arc length at both ends of the target steel plate, b is the sampling length of the target steel plate, and c is the length corresponding to the defect location of the target steel plate.

[0006] In one embodiment of the present invention, obtaining the main body length of the target steel plate, the arc lengths at both ends of the target steel plate, and the defect locations of the target steel plate includes: Using a high-definition camera, the outline and defect location of the rough-edged steel plate are identified, and the main body length of the target steel plate is obtained based on the outline of the rough-edged steel plate and the arc length at both ends of the target steel plate. The location of defects in the target steel plate is determined using a high-definition camera.

[0007] In one embodiment of the present invention, determining the shearing position and sampling position of the target steel plate based on the maximum obtainable length and sampling length of the target steel plate includes: The shearing position of the target steel plate is determined based on the maximum obtained length and the planned length.

[0008] In one embodiment of the present invention, determining the shearing position of the target steel plate based on the maximum obtained length and the planned length includes: When using a fixed-length plate, and the maximum obtainable length is greater than or equal to the planned length, the target steel plate is cut according to the dimensions of the fixed-length plate; If the maximum obtainable length is less than the planned length, the last sub-board will be cut according to the maximum obtainable size.

[0009] In one embodiment of the present invention, determining the shearing position of the target steel plate based on the maximum obtained length and the planned length includes: When using non-standard length plates, and the maximum obtainable length is greater than or equal to the planned length, the target steel plate is divided equally according to the preset length; If the maximum obtainable length is less than the planned length, the last sub-board will be cut according to the maximum obtainable size.

[0010] The present invention also provides a steel plate shearing device, wherein the steel plate shearing method is applied to a steel plate shearing device equipped with a detection function, the device comprising: The visual recognition module is used to identify the outline and defects of the target steel plate; The calculation module is used to calculate the maximum obtainable length of the steel plate and to mark the shearing position of the steel plate; The control module is used to control the advance and shearing of the steel plate.

[0011] The present invention also provides an apparatus, comprising: One or more processors and memory, The memory stores a computer program, which, when executed by the one or more processors, causes the device to perform the method described above.

[0012] The present invention also provides a computer-readable storage medium having a computer program stored thereon that, when executed by one or more processors, causes a device to perform the above-described method.

[0013] The beneficial effects of the present invention are as follows: The steel plate shearing method, apparatus, equipment and storage medium proposed in this invention automatically acquire the steel plate size and defect information and accurately calculate the shearing position, thereby realizing the automation and intelligence of the steel plate shearing process. It has the advantages of improving shearing accuracy, reducing raw material waste and improving production efficiency. Attached Figure Description

[0014] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0015] In the attached diagram: Figure 1 This is a flowchart illustrating an embodiment of the present invention. Detailed Implementation

[0016] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0017] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0018] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0019] Please see Figure 1 The present invention provides a method, apparatus, equipment and storage medium for shearing steel plates.

[0020] In one exemplary embodiment, the steel plate shearing method includes the following steps: S100: Obtain the planned length of the steel plate, the original length of the target steel plate, and surface defects; determine the maximum obtainable length of the target steel plate based on the original length and surface defects. S200: Determine the shearing position and sampling position of the target steel plate based on the maximum obtainable length and sampling length of the target steel plate; S300: Push the target steel plate to the length shear, and position and cut the steel plate according to the calculation results.

[0021] In this embodiment, automated and precise shearing is achieved through three key steps: first, a basic parameter database is established to provide data support for subsequent calculations; second, shearing decisions are automated based on a computational model; and finally, the calculation results are converted into physical operations through a mechanical execution system. This application automatically acquires the contour data of the steel plate and performs precise shearing positioning, eliminating the subjectivity of manual judgment, shortening decision-making time, and also improving material utilization and reducing the time for a single shearing operation. This application improves the shearing efficiency of steel plates through closed-loop control of data acquisition, computational decision-making, and mechanical execution.

[0022] It is worth noting that in this embodiment, the planned length of the steel plate can be obtained by reading the production order database. The planned length refers to the sum of the lengths of the effective steel plates. The original length of the target steel plate can be obtained by measuring with a laser rangefinder or a high-definition camera for liquid supply. Surface defects can be detected by an industrial camera combined with an image recognition algorithm. The calculation process for determining the maximum obtainable length can be automatically completed based on a preset mathematical model. The determination of the shearing position and sampling position can be optimized using a dynamic programming algorithm to ensure maximum material utilization. The process of pushing the steel plate to the fixed-length shear is achieved by a servo motor driving the conveyor rollers.

[0023] Step S100 also includes the following method: S110: Obtain the main body length of the target steel plate, the arc lengths at both ends of the target steel plate, and the location of defects in the target steel plate; S120: The maximum obtainable length of the target steel plate is obtained based on its original length, the arc lengths at both ends, and the location of defects. The maximum obtainable length of the target steel plate is: L1=Labc Where L1 is the maximum obtained length of the target steel plate, L is the original length of the target steel plate, a is the arc length at both ends of the target steel plate, b is the sampling length of the target steel plate, and c is the length corresponding to the defect location of the target steel plate.

[0024] Therefore, in this embodiment, by establishing a quantitative calculation model, the actual usable length is accurately calculated by subtracting the arc loss at both ends, sampling requirements, and defect exclusion areas from the original length of the steel plate. The measurement of the arc length avoids the random errors of traditional manual visual inspection, and the automatic identification of defect locations eliminates the uncertainty of subjective judgment. The use of formula calculations ensures the repeatability and verifiability of the calculation process. Therefore, this application reduces the calculation error of the maximum obtainable length through objective parameter measurement and standardized calculation, while simultaneously improving the efficiency of the shearing operation. In specific implementation, the parametric calculations can be acquired and processed in real time by an industrial computer, and the calculation results are directly transmitted to the shearing equipment control system for precise positioning.

[0025] It is worth noting that the main length of the target steel plate can be obtained using a laser rangefinder or image recognition technology. Image recognition technology uses an edge detection algorithm to extract the outline of the steel plate and then calculates the distance of the straight line segments. The arc lengths at both ends can be calculated by using a contour fitting algorithm to calculate the arc radius and central angle, for example, by fitting an arc curve using the least squares method.

[0026] It should also be noted that the defect location can be obtained using a deep learning-based defect detection model, which classifies and identifies the steel plate surface image through a trained convolutional neural network. The sampling length b is preset to a fixed value according to material testing standards or dynamically adjusted through the quality control system. The length c corresponding to the defect location is calculated by the projection distance between the defect boundary coordinates and the length direction of the steel plate. When multiple defects exist, the maximum outer envelope range of the projection area of ​​each defect is taken.

[0027] It should also be noted that in this embodiment, the corresponding calculation is only generated for steel plates that need to be sampled; otherwise, the sampling length is zero. Similarly, the corresponding calculation is only generated for steel plates with defective locations; otherwise, the corresponding length is zero.

[0028] In step S110, the method further includes the following steps: S111: Using a high-definition camera, identify the outline and defect location of the rough-edged steel plate, and obtain the main body length of the target steel plate based on the outline of the rough-edged steel plate and the arc length at both ends of the target steel plate; S112: Determine the location of defects in the target steel plate using a high-definition camera.

[0029] In this embodiment, non-contact measurement is achieved through machine vision. The working principle is as follows: after the optical imaging system acquires a two-dimensional image of the steel plate, the image processing module extracts contour features and defect areas. The calculation module establishes a mathematical model based on geometric parameters, ultimately outputting accurate dimensional data. Compared to manual visual inspection and measurement based solely on experience, this eliminates subjective judgment errors by the operator. It provides reliable data support for subsequent shearing processes, effectively reducing material waste caused by measurement deviations. The entire measurement process is completed synchronously during the steel plate conveying process, without affecting the production cycle.

[0030] It's worth noting that high-definition cameras can use industrial-grade CCD or CMOS sensors, employing high resolution and equipped with telecentric lenses to eliminate perspective errors. Contour recognition is achieved through edge detection algorithms, such as using the Canny or Sobel operators to extract the boundary pixels of the steel plate, and then fitting the arc curve using the least squares method.

[0031] It should also be noted that in this embodiment, defect detection uses a YOLOv3 model based on deep learning, and the training samples include annotated images of typical defects such as cracks and inclusions. The main body length is calculated through geometric relationships: the line connecting the centers of the two arcs is used as the reference axis, and the distance between the two tangent points is the effective length. In a specific embodiment, the system can be configured with dual cameras for simultaneous acquisition, calculating the three-dimensional coordinates through stereo vision principles to improve measurement accuracy.

[0032] In step S200, the method further includes: S210: Determine the shearing position of the target steel plate based on the maximum obtainable length and the planned length.

[0033] In this embodiment, by establishing a quantitative relationship model between the maximum obtained length and the planned length, the shearing decision is transformed into a calculable logical judgment process. Through automatic calculation and comparison, the shearing position is accurately determined, effectively avoiding material waste caused by insufficient experience in manual judgment. Simultaneously, by dynamically adjusting the shearing dimensions of the last sub-plate, material utilization is maximized while ensuring production needs are met, significantly improving shearing accuracy and efficiency, and solving problems such as large errors and slow pace inherent in manual operation.

[0034] It is worth noting that in this embodiment, the maximum obtainable length refers to the maximum usable material length of the steel plate after considering the original length, the arc lengths at both ends, the defect location, and the sampling length, which is calculated using the formula L1=Labc.

[0035] It should also be noted that in this embodiment, the shearing of the arc portion of the steel plate is calculated separately. The critical point between the arc portion and the main body of the steel plate has been determined by the above method. Therefore, it is marked in the system to achieve rapid shearing, thereby improving the shearing efficiency.

[0036] In step S210, the method further includes the following steps: S211: When using a fixed-length plate for shearing (i.e., the size of each sheared sub-plate is fixed, and can be the same or different), and the maximum length obtained is greater than or equal to the planned length, the target steel plate is sheared according to the size of the fixed-length plate. S212: If the maximum obtainable length is less than the planned length, the last sub-board shall be cut according to the maximum obtainable size.

[0037] In this embodiment, a differentiated shearing strategy is implemented through a conditional judgment mechanism: ensuring uniform finished product specifications when the planned length requirement is met, and maximizing material utilization through dynamic adjustment when the length is insufficient. Therefore, the method adopted in this application can reduce the subjective error of manual marking and solve the problem of material waste caused by insufficient experience. Specifically, it reduces dimensional deviations through standardized shearing, reduces scrap rate by maximizing the utilization of tail material, and improves shearing accuracy through automated calculation. The decision-making mechanism based on objective measurement data improves material utilization and ensures product quality stability.

[0038] For example, a standard-length template refers to a template with pre-set standard dimensions used to guide the shearing operation of steel plates. The maximum obtainable length is obtained by subtracting the arc lengths at both ends, the sampling length, and the length corresponding to the defect location from the original length of the steel plate.

[0039] It is worth noting that, in a specific embodiment, the outline and defect location of the steel plate can be automatically measured by a visual recognition system, and the maximum obtainable length can be calculated in real time by a calculation module. Simultaneously, when shearing the last sub-plate using the maximum retrievable size, the shear blade position can be adjusted to bring the shear line as close as possible to the end arc and the end of the steel plate, thereby improving material utilization.

[0040] In step S210, the method further includes: S213: When using non-standard length plates, and the maximum obtainable length is greater than or equal to the planned length, the target steel plate shall be divided equally according to the preset length; S214: If the maximum obtainable length is less than the planned length, the last sub-board shall be cut according to the maximum obtainable size.

[0041] In this embodiment, the non-standard length plate used is: the size of each sub-plate is not limited, the steel plate is evenly divided according to the preset number of sub-plates, and a standardized cutting rule is established by evenly dividing the plate by preset length to eliminate the size fluctuation caused by human experience, thereby improving the material utilization rate; at the same time, by dynamically adjusting the cutting size of the last sub-plate, material waste caused by forcibly cutting to a fixed length is avoided.

[0042] For example, the preset length equalization can be achieved in the following way: First, a standard length database is established, and multiple standard segment lengths are preset according to the material and use of the steel plate; second, the optimal segmentation scheme is automatically matched through the control system, and the number of sub-plates after equalization and the precise cutting position of each segment are calculated. The determination of the maximum recyclable size needs to be comprehensively judged by considering the actual usable length of the remaining steel plate, the minimum cutting accuracy of the equipment, and the minimum requirements of subsequent processes for the size of the remaining material. In a specific embodiment, during the cutting process, a dynamic programming algorithm can be used to calculate the optimal cutting scheme in real time and judge the length of the steel plate after cutting in real time, which can ensure that the size of the tail material reaches the maximum value allowed by the process while ensuring the standardization of the main segments.

[0043] It should also be noted that if there are sampling locations on the steel plate, the plate needs to be automatically fed to a small marking device to mark the sampling locations for easy cutting and sampling.

[0044] The present invention also provides a steel plate shearing device, which is applied to a steel plate shearing device equipped with a detection function, the device comprising: The visual recognition module is used to identify the outline and defects of the target steel plate; The calculation module is used to calculate the maximum obtainable length of the steel plate and to mark the shearing position of the steel plate; The control module is used to control the advance and shearing of the steel plate.

[0045] The present invention also provides an apparatus comprising: One or more processors and memory, The memory stores a computer program, which, when executed by one or more processors, causes the device to perform the methods described above.

[0046] The present invention also provides a computer-readable storage medium having a computer program stored thereon that, when executed by one or more processors, causes a device to perform the method described above.

[0047] In summary, this invention automates and intelligently processes the steel plate shearing process by automatically acquiring steel plate dimensions and defect information and accurately calculating the shearing position. This improves shearing accuracy, reduces raw material waste, and enhances steel plate shearing efficiency.

[0048] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for shearing steel plates, characterized in that, include: The planned length of the steel plate, the original length of the target steel plate, and the surface defects are obtained. The maximum obtainable length of the target steel plate is determined based on the original length of the target steel plate and the surface defects. Based on the maximum obtainable length of the target steel plate and the sampling length, determine the shearing position and sampling position of the target steel plate; The target steel plate is pushed to the fixed-length shear, and the steel plate is positioned and cut according to the calculation results.

2. The steel plate shearing method according to claim 1, characterized in that: The step of determining the maximum obtainable length of the target steel plate based on its original length and surface defects includes: Obtain the main body length of the target steel plate, the arc lengths at both ends of the target steel plate, and the location of defects in the target steel plate; The maximum obtainable length of the target steel plate is obtained based on its original length, the arc lengths at both ends, and the location of any defects. The maximum obtainable length of the target steel plate is: L1=Labc Where L1 is the maximum obtained length of the target steel plate, L is the original length of the target steel plate, a is the arc length at both ends of the target steel plate, b is the sampling length of the target steel plate, and c is the length corresponding to the defect location of the target steel plate.

3. The steel plate shearing method according to claim 1, characterized in that: The process of obtaining the main body length of the target steel plate, the arc lengths at both ends of the target steel plate, and the location of defects in the target steel plate includes: Using a high-definition camera, the outline and defect location of the rough-edged steel plate are identified, and the main body length of the target steel plate is obtained based on the outline of the rough-edged steel plate and the arc length at both ends of the target steel plate. The location of defects in the target steel plate is determined using a high-definition camera.

4. The steel plate shearing method according to claim 3, characterized in that: The process of determining the shearing and sampling positions of the target steel plate based on its maximum obtainable length and sampling length includes: The shearing position of the target steel plate is determined based on the maximum obtained length and the planned length.

5. The steel plate shearing method according to claim 4, characterized in that: Determining the shearing position of the target steel plate based on the maximum obtained length and the planned length includes: When using a fixed-length plate, and the maximum obtainable length is greater than or equal to the planned length, the target steel plate is cut according to the dimensions of the fixed-length plate; If the maximum obtainable length is less than the planned length, the last sub-board will be cut according to the maximum obtainable size.

6. The steel plate shearing method according to claim 5, characterized in that: The step of determining the shearing position of the target steel plate based on the maximum obtained length and the planned length includes: When using non-standard length plates, and the maximum obtainable length is greater than or equal to the planned length, the target steel plate is divided equally according to the preset length; If the maximum obtainable length is less than the planned length, the last sub-board will be cut according to the maximum obtainable size.

7. A steel plate shearing device, characterized in that: The steel plate shearing method is applied to a steel plate shearing device equipped with a detection function, the device comprising: The visual recognition module is used to identify the outline and defects of the target steel plate; The calculation module is used to calculate the maximum obtainable length of the steel plate and to mark the shearing position of the steel plate; The control module is used to control the advance and shearing of the steel plate.

8. A device, characterized in that, include: One or more processors and memory, The memory stores a computer program that, when executed by the one or more processors, causes the device to perform the method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: It stores a computer program that, when executed by one or more processors, causes the device to perform the method as described in any one of claims 1-6.

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