Plate shape evaluation method and device based on Gaussian function, equipment and storage medium

Abstract

The embodiment of the application provides a kind of based on Gaussian function's plate shape evaluation method, device, equipment and storage medium, relate to metallurgical rolling field, by using flatness tester to the preset sampling point on the steel plate to be detected, obtain the height data measured by flatness tester, according to the height data, construct plate shape matrix, using Gaussian function to plate shape matrix is fitted, obtain plate shape defect information, construct local evaluation function and overall evaluation function, according to the plate shape defect information, local evaluation function and overall evaluation function, the steel plate to be detected is evaluated, according to the evaluation result, determine whether the steel plate to be detected is qualified, according to flatness tester data, accurately obtain the defect information of steel plate plate shape, according to defect information, accurately evaluate the qualification of steel plate, improve the steel plate classification precision, save manpower and material resources, improve the production efficiency of steel plate.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of metallurgical rolling, and in particular to a plate shape evaluation method and device based on a Gaussian function, an equipment and a storage medium. BACKGROUND

[0002] Steel plate is a very important energy in the metallurgical process, and quenching technology is one of the most important processes in the steel plate heat treatment process. After quenching, the toughness and strength of the steel plate will be significantly improved, but during the quenching process, due to the change of temperature and pressure, the steel plate may be deformed or have defects, affecting the use performance and quality of the steel plate.

[0003] At present, in the prior art, the flatness of the steel plate is usually drawn according to the flatness gauge data received on site, and then the defects of the steel plate are positioned and the degree of the defects is judged according to the drawn image by manual operation. However, the quenching process of the steel plate is a process with strong nonlinearity, and due to the large number of parameters, manual judgment is prone to cause large errors, and the steel plate cannot be accurately judged whether it meets the actual production specifications, which finally causes waste of manpower and material resources, and reduces the production efficiency of the steel plate. SUMMARY

[0004] Therefore, the purpose of the present application is to overcome the deficiencies in the prior art, and to provide a plate shape evaluation method and device based on a Gaussian function, an equipment and a storage medium.

[0005] The present application provides the following technical solutions:

[0006] In a first aspect, the present application provides a plate shape evaluation method based on a Gaussian function, which comprises:

[0007] Measuring the preset sampling points on the steel plate to be detected by using a flatness gauge to obtain height data measured by the flatness gauge;

[0008] Constructing a plate shape matrix according to the height data, fitting the plate shape matrix by using a Gaussian function to obtain plate shape defect information;

[0009] Constructing a local evaluation function and a global evaluation function, evaluating the steel plate to be detected according to the plate shape defect information, the local evaluation function and the global evaluation function, and determining whether the steel plate to be detected is qualified according to the evaluation result.

[0010] According to one specific embodiment of the present application, the preset sampling points include long direction sampling points and width direction sampling points of the steel plate to be detected, and the sampling interval of the long direction sampling points and the width direction sampling points is 100.

[0011] According to one specific embodiment disclosed in the present application, the step of constructing a plate shape matrix according to the height data, fitting the plate shape matrix with a Gaussian function, and obtaining plate shape defect information comprises:

[0012] One plate shape defect is characterized by one Gaussian function:

[0013] wherein a is an amplitude, b is a standard deviation in a length direction, c is a standard deviation in a width direction, d is a vertical offset, p is a position in an x direction, and q is a position in a y direction;

[0014] An entire plate shape defect is characterized by a superposition of multiple Gaussian functions:

[0015]

[0016] wherein h is a total number of identified defects, a t is an amplitude of a tthdefect, b t is a standard deviation in a length direction of the tthdefect, c t is a standard deviation in a width direction of the tthdefect, d t is a vertical offset of the tthdefect, p t is a position in an x direction of the tthdefect, q t is a position in a y direction of the tthdefect, and d is a vertical offset.

[0017] According to one specific embodiment disclosed in the present application, the step of constructing a local evaluation function and a global evaluation function, evaluating the steel plate to be detected according to the plate shape defect information, the local evaluation function, and the global evaluation function, and determining whether the steel plate to be detected is qualified according to an evaluation result comprises:

[0018] The steel plate to be detected is evaluated for defect severity by using the local evaluation function and the plate shape defect information, and a defect score of the steel plate to be detected is obtained;

[0019] A defect score threshold and a flatness threshold are set, and main defects in the steel plate to be detected are selected according to the defect score threshold and the flatness threshold;

[0020] The steel plate to be detected is evaluated for plate shape qualification by using the global evaluation function and the main defects.

[0021] According to one specific embodiment disclosed in the present application, the step of evaluating the steel plate to be detected for defect severity by using the local evaluation function and the plate shape defect information, and obtaining a defect score of the steel plate to be detected comprises:

[0022] The local evaluation function is:

[0023] wherein f t is a defect score of g t .

[0024] According to one specific embodiment disclosed in the present application, the setting of the defect score threshold and the flatness threshold, and the selection of the main defect in the steel plate to be detected according to the defect score threshold and the flatness threshold, include:

[0025] If the defect score of the defect in the steel plate to be detected is above the defect score threshold and the flatness of the defect in the steel plate to be detected is above the flatness threshold, it is determined that the defect in the steel plate to be detected is a main defect.

[0026] According to one specific embodiment disclosed in the present application, the plate shape qualification assessment of the steel plate to be detected by using the overall evaluation function and the main defect includes:

[0027] The overall evaluation function is:

[0028] wherein f is a qualification score of the plate shape of the steel plate;

[0029] The plate shape qualification assessment of the steel plate to be detected is performed according to the qualification score.

[0030] In a second aspect, the present disclosure provides a plate shape assessment device based on a Gaussian function, which includes:

[0031] A measurement module is configured to measure a preset sampling point on a steel plate to be detected by using a flatness tester, and obtain height data measured by the flatness tester.

[0032] A fitting module is configured to construct a plate shape matrix according to the height data, fit the plate shape matrix by using a Gaussian function, and obtain plate shape defect information.

[0033] An assessment module is configured to construct a local evaluation function and an overall evaluation function, assess the steel plate to be detected according to the plate shape defect information, the local evaluation function and the overall evaluation function, and determine whether the steel plate to be detected is qualified according to an assessment result.

[0034] In a third aspect, the present disclosure provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor implements the steps of the plate shape assessment method based on a Gaussian function according to any one of the first aspect when executing the computer program.

[0035] In a fourth aspect, the disclosure provides a computer readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the plate shape evaluation method based on a Gaussian function according to any one of the first aspect.

[0036] The plate shape evaluation method based on a Gaussian function provided in the present application measures the preset sampling points on the steel plate to be detected by using a flatness tester, obtains height data measured by the flatness tester, constructs a plate shape matrix according to the height data, fits the plate shape matrix by using a Gaussian function to obtain plate shape defect information, constructs a local evaluation function and a global evaluation function, evaluates the steel plate to be detected according to the plate shape defect information, the local evaluation function and the global evaluation function, determines whether the steel plate to be detected is qualified according to the evaluation result, accurately obtains defect information of the plate shape of the steel plate according to the flatness tester data, accurately evaluates the qualification of the steel plate according to the defect information, improves the classification precision of the steel plate, saves manpower and resources, and improves the production efficiency of the steel plate.

[0037] In order to make the above-mentioned objects, characteristics and advantages of the present application more obvious and easy to understand, the following preferred embodiments are described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor. In each drawing, similar components are marked with similar reference numerals.

[0039] Figure 1 Fig. 1 shows a flow diagram of a plate shape evaluation method based on a Gaussian function provided in an embodiment of the present application;

[0040] Figure 2 Fig. 2 shows a structural diagram of a plate shape evaluation device based on a Gaussian function provided in an embodiment of the present application;

[0041] Figure 3 Fig. 3 shows a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] The embodiments of the present application will be described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present application, and cannot be understood as a limitation on the present application.

[0043] It should be noted that when an element is said to be "fixed" to another element, it can be directly on the other element or there may be an intervening element. When an element is said to be "connected" to another element, it can be directly connected to the other element or there may be an intervening element. Conversely, when an element is said to be "directly" on another element, there is no intervening element. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this document are for illustrative purposes only.

[0044] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0045] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the template description is for the purpose of describing particular embodiments only and is not intended to limit the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0047] Example 1

[0048] like Figure 1 The diagram shown is a flowchart illustrating a plate shape evaluation method based on a Gaussian function provided in this application embodiment. The plate shape evaluation method based on a Gaussian function provided in this application embodiment includes the following steps:

[0049] Step S101: The preset sampling points on the steel plate to be tested are measured using a flatness meter to obtain the height data measured by the flatness meter.

[0050] Specifically, the flatness and straightness of the steel plate to be detected are measured by using a flatness tester. By sampling height data of preset sampling points on the steel plate to be detected, plate shape fitting is performed based on a Gaussian function, so that defect information can be obtained.

[0051] Preferably, the preset sampling points include long-direction sampling points and width-direction sampling points of the steel plate to be detected, and the sampling interval of the long-direction sampling points and the width-direction sampling points is 100.

[0052] It can be understood that a smaller sampling interval can provide more sampling data and improve sampling accuracy. By limiting the sampling interval of the long-direction sampling points and the width-direction sampling points of the steel plate to be detected to 100, sufficient accuracy can be ensured, and the calculation speed will not be too slow.

[0053] In step S102, a plate shape matrix is constructed according to the height data, a Gaussian function is used to fit the plate shape matrix, and plate shape defect information is obtained.

[0054] The step of constructing a plate shape matrix according to the height data, fitting the plate shape matrix by using a Gaussian function, and obtaining plate shape defect information includes:

[0055] One Gaussian function is used to represent one plate shape defect:

[0056] Wherein, a is the amplitude, b is the standard deviation in the length direction, c is the standard deviation in the width direction, d is the vertical offset, p is the position in the x direction, and q is the position in the y direction.

[0057] Multiple Gaussian functions are used to represent the entire plate shape defect:

[0058]

[0059] Wherein, h is the total number of identified defects, a t is the amplitude of the tth defect, b t is the standard deviation of the tth defect in the length direction, c t is the standard deviation of the tth defect in the width direction, d t is the vertical offset of the tth defect, p t is the position of the tth defect in the x direction, q t is the position of the tth defect in the y direction, and d is the vertical offset.

[0060] In specific implementation, the Gaussian function is a commonly used function in mathematics and science, which is usually used to simulate smooth changes in natural phenomena. In the plate shape identification, the greater the value of a is, the more obvious the defect is. b is the standard deviation in the length direction, which controls the diffusion degree of the defect in the x direction. The greater the value of b is, the wider the defect is in the length direction. c is the standard deviation in the width direction, which controls the diffusion degree of the defect in the y direction. The greater the value of c is, the wider the defect is in the width direction. d is the vertical offset, which represents the height of the defect relative to the reference surface. The value of d includes positive or negative values, depending on whether the defect is convex or concave. p is the position in the x direction, which represents the position of the defect center on the x axis. q is the position in the y direction, which represents the position of the defect center on the y axis. By adjusting these parameters, defects of various shapes and sizes can be accurately simulated. For the entire plate shape, multiple Gaussian functions are superimposed to achieve it. Each Gaussian function represents a specific defect on the plate surface. By selecting and combining multiple Gaussian functions, the complex shape of the entire plate surface can be constructed. By using Gaussian functions, the local characteristics of defects can be effectively captured while maintaining the feasibility of calculation.

[0061] In specific implementation, a t is the amplitude of the tth defect, a t The greater the value of a is, the more obvious the tth defect is. b t is the standard deviation of the tth defect in the length direction, b t The greater the value of b is, the wider the tth defect is in the length direction. c t is the standard deviation of the tth defect in the width direction, c t The greater the value of c is, the wider the tth defect is in the width direction. d t is the vertical offset of the tth defect, p t is the position of the tth defect in the x direction, q t is the position of the tth defect in the y direction, d is the vertical offset, which represents the average height of all defects relative to the reference surface. By superimposing multiple Gaussian functions to describe multiple defects on the plate shape, the shape, size and position of each defect can be accurately described by adjusting the parameters of each Gaussian function. Each Gaussian function only affects the local area of the plate shape. The model can better handle local changes on the plate shape. If the number of defects on the plate shape increases in actual working conditions, more Gaussian functions can be added to the model. In practical applications, the parameters are determined through experiments or data analysis, such as fitting experimental data to Gaussian functions to estimate parameter values.

[0062] In step S103, a local evaluation function and a global evaluation function are constructed. The steel plate to be detected is evaluated according to the plate defect information, the local evaluation function and the global evaluation function. Whether the steel plate to be detected is qualified is determined according to the evaluation result.

[0063] In the implementation, the local evaluation function and the overall evaluation function are used to screen representative main defects from all defects of the steel plate to be detected.

[0064] The construction of the local evaluation function and the overall evaluation function, the evaluation of the steel plate to be detected according to the plate shape defect information, the local evaluation function and the overall evaluation function, and the determination of whether the steel plate to be detected is qualified according to the evaluation result, include:

[0065] The local evaluation function and the plate shape defect information are used to evaluate the defect severity of the steel plate to be detected, and a defect score of the steel plate to be detected is obtained.

[0066] A defect score threshold and a flatness threshold are set, and main defects in the steel plate to be detected are selected according to the defect score threshold and the flatness threshold.

[0067] The overall evaluation function and the main defects are used to evaluate the plate shape qualification degree of the steel plate to be detected.

[0068] Specifically, the defect score is an index for measuring the severity of defects, which is related to the area, position and distance from the reference surface of the defects. The flatness is used to measure the surface quality of the plate, which is related to the position and size of the defects, and by controlling the flatness, the shape of the plate shape can be ensured to meet the production standard.

[0069] The local evaluation function and the plate shape defect information are used to evaluate the defect severity of the steel plate to be detected, and a defect score of the steel plate to be detected is obtained.

[0070] The local evaluation function is:

[0071] Wherein, f t is the defect score of g t .

[0072] It can be understood that the severity of each defect is evaluated by f t , and the greater f t , the more serious the corresponding defect.

[0073] The defect score threshold and the flatness threshold are set, and main defects in the steel plate to be detected are selected according to the defect score threshold and the flatness threshold.

[0074] If the defect score of the defect in the steel plate to be detected is above the defect score threshold and the flatness of the defect in the steel plate to be detected is above the flatness threshold, the defect in the steel plate to be detected is determined as a main defect.

[0075] Specifically, by setting the defect score threshold and the flatness threshold, the main defects can be screened out, and special attention and processing can be given to the main defects.

[0076] The step of performing the plate shape qualification assessment on the steel plate to be detected by using the overall evaluation function and the main defects comprises:

[0077] The overall evaluation function is:

[0078] Wherein, f is the qualification score of the plate shape of the steel plate.

[0079] The qualification score is used to perform the plate shape qualification assessment on the steel plate to be detected.

[0080] Specifically, the overall evaluation function is used to evaluate the overall quality of the plate shape, and the larger the f value is, the worse the plate shape is.

[0081] The plate shape evaluation method based on the Gaussian function provided by the above embodiments of the application, by using the flatness tester to measure the preset sampling points on the steel plate to be detected, the height data measured by the flatness tester is obtained, the plate shape matrix is constructed according to the height data, the Gaussian function is used to fit the plate shape matrix, the plate shape defect information is obtained, the local evaluation function and the overall evaluation function are constructed, the steel plate to be detected is evaluated according to the plate shape defect information, the local evaluation function and the overall evaluation function, whether the steel plate to be detected is qualified is determined according to the evaluation result, the defect information of the plate shape of the steel plate is accurately obtained according to the flatness tester data, the qualification assessment of the steel plate is accurately performed according to the defect information, the classification precision of the steel plate is improved, the manpower and material resources are saved, and the production efficiency of the steel plate is improved.

[0082] Embodiment 2

[0083] As shown in Figure 2 The device provided by the embodiments of the application comprises:

[0084] The measurement module 201 is used to measure the preset sampling points on the steel plate to be detected by using the flatness tester, and obtain the height data measured by the flatness tester.

[0085] The fitting module 202 is used to construct the plate shape matrix according to the height data, and fit the plate shape matrix by using the Gaussian function to obtain the plate shape defect information.

[0086] The evaluation module 203 is used to construct the local evaluation function and the overall evaluation function, evaluate the steel plate to be detected according to the plate shape defect information, the local evaluation function and the overall evaluation function, and determine whether the steel plate to be detected is qualified according to the evaluation result.

[0087] The plate shape evaluation device 200 based on the Gaussian function provided in this embodiment can implement the plate shape evaluation method based on the Gaussian function shown in Embodiment 1, and thus will not be described here again to avoid repetition.

[0088] The plate shape evaluation device based on the Gaussian function provided in the embodiments of the present application can measure the preset sampling points on the steel plate to be detected by using the flatness tester, obtain the height data measured by the flatness tester, construct a plate shape matrix according to the height data, fit the plate shape matrix by using the Gaussian function to obtain plate shape defect information, construct a local evaluation function and a global evaluation function, evaluate the steel plate to be detected according to the plate shape defect information, the local evaluation function and the global evaluation function, determine whether the steel plate to be detected is qualified according to the evaluation result, accurately obtain the defect information of the plate shape of the steel plate according to the flatness tester data, accurately evaluate the qualification of the steel plate according to the defect information, improve the classification precision of the steel plate, save manpower and resources, and improve the production efficiency of the steel plate.

[0089] Embodiment 3

[0090] In addition, the electronic device 300 provided in the embodiments of the present disclosure includes a memory and a processor, and the memory stores a computer program.

[0091] Specifically, referring to Figure 3 , the electronic device 300 includes a receiver 301, a bus interface and a processor 302.

[0092] In the embodiments of the present application, the electronic device 300 further includes a memory 303. Figure 3 In the embodiments of the present application, the bus architecture can include any number of interconnected buses and bridges, and various circuit links of one or more processors represented by the processor 302 and the memory represented by the memory 303. The bus architecture can also link various other circuits such as peripheral devices, voltage stabilizers and power management circuits, which are well known in the art, and thus will not be described further herein. The bus interface provides an interface. The receiver 301 can be a plurality of elements, i.e. including a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium. The processor 302 is responsible for managing the bus architecture and general processing, and the memory 303 can store data used by the processor 302 in performing operations.

[0093] The electronic device 300 provided in the embodiments of the present application can implement the plate shape evaluation method based on the Gaussian function shown in Embodiment 1, and thus will not be described here again to avoid repetition.

[0094] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can also be implemented by other manners. The apparatus embodiments described above are merely illustrative, for example, the flowcharts and structural diagrams in the drawings show the possible implementation architecture, function and operation of the apparatus, method and computer program product according to the embodiments of the present application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment or a part of code, which contains one or more executable instructions for implementing the specified logic function. It should also be noted that in alternative implementation manners, the functions noted in the blocks can also occur in different order from that noted in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and they can also be executed in reverse order, depending on the functions involved. It should also be noted that each block in the structural diagram and / or flowchart, and the combination of blocks in the structural diagram and / or flowchart, can be implemented by a dedicated hardware-based system for executing the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0095] In addition, each functional module or unit in the embodiments of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0096] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part of the prior art that contributes to the technical solutions or the part of the technical solutions can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which can be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0097] The above description is merely a specific implementation of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered within the protection scope of the present application.

Claims

1. A method for flatness evaluation based on Gaussian functions, characterized in that, The method comprises: measuring preset sampling points on the steel plate to be detected by using a flatness tester to obtain height data measured by the flatness tester; constructing a plate shape matrix according to the height data, fitting the plate shape matrix by using a Gaussian function, and obtaining plate shape defect information; constructing a local evaluation function and a global evaluation function, evaluating the steel plate to be detected according to the plate shape defect information, the local evaluation function and the global evaluation function, and determining whether the steel plate to be detected is qualified according to an evaluation result; including: evaluating the defect severity of the steel plate to be detected by using the local evaluation function and the plate shape defect information to obtain a defect score of the steel plate to be detected; setting a defect score threshold and a flatness threshold, selecting main defects in the steel plate to be detected according to the defect score threshold and the flatness threshold; and evaluating the plate shape qualification degree of the steel plate to be detected by using the global evaluation function and the main defects; The local evaluation function is: wherein, is the defect score of . if the defect score of the defect in the steel plate to be detected is above the defect score threshold and the flatness of the defect in the steel plate to be detected is above the flatness threshold, it is determined that the defect in the steel plate to be detected is a main defect; The overall evaluation function is: wherein, is a steel plate shape eligibility score; the steel plate to be detected is evaluated for plate shape eligibility according to the eligibility score.

2. The plate shape evaluation method based on a Gaussian function according to claim 1, characterized by, the preset sampling points include long-direction sampling points and width-direction sampling points of the steel plate to be detected, and the sampling interval of the long-direction sampling points and the width-direction sampling points is 100.

3. The plate shape evaluation method based on a Gaussian function according to claim 1, characterized by, the step of constructing a plate shape matrix according to the height data, fitting the plate shape matrix by using a Gaussian function, and obtaining plate shape defect information comprises: using one Gaussian function to represent one plate shape defect: where a is the amplitude, b is the standard deviation in the length direction, c is the standard deviation in the width direction, d is the vertical offset, p is the position in the x direction, and q is the position in the y direction. using superposition of multiple Gaussian functions to represent the entire plate shape defect: where h is the total number of identified defects, is the amplitude of the tth defect, is the standard deviation in the length direction of the tth defect, is the standard deviation in the width direction of the tth defect, is the vertical offset of the tth defect, is the position of the tth defect in the x direction, is the position of the tth defect in the y direction, and d is the vertical offset.

4. A plate shape evaluation device based on a Gaussian function, characterized by the device comprises: a measurement module configured to measure preset sampling points on the steel plate to be detected by using a flatness tester to obtain height data measured by the flatness tester; a fitting module configured to construct a plate shape matrix according to the height data, fit the plate shape matrix by using a Gaussian function, and obtain plate shape defect information; an evaluation module configured to construct a local evaluation function and a global evaluation function, evaluate the steel plate to be detected according to the plate shape defect information, the local evaluation function and the global evaluation function, and determine whether the steel plate to be detected is qualified according to an evaluation result; evaluate the defect severity of the steel plate to be detected by using the local evaluation function and the plate shape defect information to obtain a defect score of the steel plate to be detected; set a defect score threshold and a flatness threshold, select main defects in the steel plate to be detected according to the defect score threshold and the flatness threshold; and evaluate the plate shape qualification degree of the steel plate to be detected by using the global evaluation function and the main defects; The local evaluation function is: wherein, is a defect score; if the defect score of the defect in the steel plate to be detected is above the defect score threshold and the flatness of the defect in the steel plate to be detected is above the flatness threshold, it is determined that the defect in the steel plate to be detected is a main defect; The overall evaluation function is: wherein, is a steel plate shape eligibility score; the steel plate to be detected is evaluated for plate shape eligibility according to the eligibility score.

5. An electronic device, comprising: a memory and a processor, the memory stores a computer program, and the processor implements the steps of the plate shape evaluation method based on the Gaussian function in any one of claims 1-3 when executing the computer program.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the plate shape evaluation method based on the Gaussian function in any one of claims 1-3.

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