A method for identifying a crack defect type of a nuclear fuel pellet and related components

Abstract

The application discloses a nuclear fuel pellet crack defect type identification method, device, equipment and storage medium. The method comprises the following steps: acquiring a defect area image of a nuclear fuel pellet; performing straight line fitting processing on the defect area image to obtain a crack straight line in the defect area; and judging the type of the nuclear fuel pellet crack in the defect area image according to the angle size of the included angle between the crack straight line and a vertical line and a preset judgment rule. It can be seen that the microcracks in the defect area are fitted by performing straight line fitting processing on the defect area, the corresponding crack straight line is obtained, and then the type of the crack of the nuclear fuel pellet existing in the defect area image can be judged according to the size of the included angle between the crack straight line and the vertical direction and in combination with the preset judgment rule. The type of the pellet crack defect can be accurately detected, the ability of detecting the type of the pellet crack defect is improved, and then it is favorable for feedback to subsequent production processes.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a method, apparatus, device, and storage medium for identifying the type of crack defects in nuclear fuel pellets. Background Technology

[0002] Nuclear fuel pellets are the core components of nuclear fuel elements, typically small cylindrical blocks. During the pellet manufacturing process, due to temperature and other uncontrollable factors, surface defects such as breakage, chipping, and cracks may occur. Therefore, it is necessary to inspect the appearance of the pellets and assess their surface quality. Traditional methods for inspecting the appearance of nuclear fuel pellets mostly rely on manual visual inspection. However, it is difficult to quantitatively evaluate the surface quality of each pellet using manual visual inspection, and the judgment criteria are hard to control, leading to inconsistent results from different people. This seriously affects the accuracy and repeatability of the inspection results, and the efficiency of manual visual inspection is also relatively low.

[0003] In recent years, machine vision technology using 2D cameras has been gradually applied to the field of detecting defects in the appearance of nuclear pellets. Currently, in the nuclear industry, machine vision technology is generally used to automatically identify and calculate the area of ​​defects in the appearance of the pellets to be inspected, thereby achieving automatic detection and evaluation of the surface quality of the pellets.

[0004] However, relying solely on the size of the surface defects in the chip cannot fully reflect its surface quality, resulting in low accuracy in assessing it. This is especially true for surface cracks, which are too small to be judged based on size alone, easily leading to missed detections or misjudgments. Summary of the Invention

[0005] In view of this, the purpose of this invention is to provide a method, apparatus, device, and medium for identifying the type of nuclear fuel pellet crack defects, which can accurately detect the type of pellet crack defects and improve the ability to detect pellet crack defect types. The specific solution is as follows:

[0006] In a first aspect, this application discloses a method for identifying the type of crack defects in nuclear fuel pellets, including:

[0007] Acquire images of defective areas in nuclear fuel pellets;

[0008] The defect area image is subjected to line fitting processing to obtain the crack line within the defect area;

[0009] Based on the angle between the crack line and the vertical line and the preset judgment rules, the type of nuclear fuel pellet crack in the defect area image is determined.

[0010] Optionally, acquiring images of defective areas in nuclear fuel pellets includes:

[0011] Acquire images corresponding to nuclear fuel pellets; the acquired images include end face images and cylindrical face images;

[0012] The acquired images are processed, and suspected defect regions are extracted from the acquired images based on the image processing results; the image processing includes morphological processing and connected component analysis;

[0013] Based on the selection criteria, defective regions with cracks are selected from all the suspected defective regions as defective region images.

[0014] Optionally, the step of performing line fitting processing on the defect region image to obtain a crack line within the defect region includes:

[0015] The Hough transform is used to detect straight lines in the defect area image, and the crack lines in the defect area are obtained by fitting the detection results.

[0016] Optionally, determining the type of nuclear fuel pellet crack in the defect region image based on the angle between the crack line and the vertical line and a preset judgment rule includes:

[0017] Determine the plane type where the defect region image is located; the plane type includes end faces and cylindrical surfaces.

[0018] If the plane type is cylindrical, then the type of nuclear fuel pellet crack in the defect area image is determined by using the preset cylindrical judgment rules and the angle between the crack line and the vertical line.

[0019] If the plane type is an end face, then the type of nuclear fuel pellet crack in the defect area image is determined by using the preset end face judgment rules and the angle between the crack line and the vertical line.

[0020] Optionally, the step of using a preset cylindrical judgment rule to determine the type of nuclear fuel pellet crack in the defect region image based on the angle between the crack line and the vertical line includes:

[0021] If the angle between the crack line and the vertical line is less than a first preset angle, and the length of the crack line is greater than a first preset length, then the type of nuclear fuel pellet crack in the defect area image is determined to be a cylindrical longitudinal crack.

[0022] If the angle between the crack line and the vertical line is greater than a first preset angle and less than a second preset angle, and the length of the crack line is greater than a first preset length, then the type of nuclear fuel pellet crack in the defect area image is determined to be a cylindrical oblique crack.

[0023] If the angle between the crack line and the vertical line is greater than the second preset angle and less than the third preset angle, and the length of the crack line is greater than the first preset length, then the type of nuclear fuel pellet crack in the defect area image is determined to be a cylindrical circumferential crack.

[0024] Optionally, before determining the type of nuclear fuel pellet crack in the defect region image based on the angle between the crack line and the vertical line and a preset judgment rule, the method further includes:

[0025] Determine the number of straight lines obtained from the fitted crack line. If the number of straight lines is 1, then perform the operation of determining the type of nuclear fuel pellet crack in the defect area image based on the angle between the crack line and the vertical line and the preset judgment rule.

[0026] If the number of straight lines is greater than 1, then it is determined whether the type of nuclear fuel pellet crack in the defect region image is a dendritic crack.

[0027] Optionally, determining whether the type of nuclear fuel pellet crack in the defect region image is a dendritic crack includes:

[0028] Determine whether there are intersecting crack lines between the stated crack lines;

[0029] If intersecting lines exist, then determine the length of each of the stated crack lines;

[0030] If a crack line with a length greater than the second preset length exists, the type of nuclear fuel pellet crack in the defect area image is determined to be a dendritic crack.

[0031] Secondly, this application discloses a device for identifying the type of nuclear fuel pellet crack defects, comprising:

[0032] The image acquisition module is used to acquire images of defect areas in nuclear fuel pellets;

[0033] The line fitting module is used to perform line fitting processing on the defect area image to obtain the crack line within the defect area;

[0034] The type determination module is used to determine the type of nuclear fuel pellet crack in the defect area image based on the angle between the crack line and the vertical line and the preset determination rules.

[0035] Thirdly, this application discloses an electronic device, including:

[0036] Memory, used to store computer programs;

[0037] A processor is used to execute the computer program to implement the aforementioned method for identifying the type of nuclear fuel pellet cracks.

[0038] Fourthly, this application discloses a computer-readable storage medium for storing a computer program; wherein the computer program, when executed by a processor, implements the aforementioned method for identifying the type of nuclear fuel pellet cracks.

[0039] In this application, an image of the defect area of ​​a nuclear fuel pellet is acquired; the image of the defect area is subjected to linear fitting processing to obtain a crack line within the defect area; and the type of nuclear fuel pellet crack in the defect area image is determined based on the angle between the crack line and the vertical line and a preset judgment rule. It can be seen that by performing linear fitting processing on the defect area, the corresponding crack line is obtained by fitting the micro-cracks in the defect area. Then, based on the angle between the crack line and the vertical direction, combined with the preset judgment rule, the type of crack present in the nuclear fuel pellet in the defect area image can be determined. Compared with manual inspection, this method significantly reduces the labor intensity of workers and can accurately detect the type of pellet crack defects, improving the ability to detect pellet crack defects and thus facilitating feedback to subsequent production processes. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0041] Figure 1 A flowchart of a method for identifying the type of crack in nuclear fuel pellets provided in this application;

[0042] Figure 2 This application provides a schematic diagram of a specific cylindrical crack in a nuclear fuel pellet.

[0043] Figure 3 A flowchart illustrating a specific method for identifying the type of nuclear fuel pellet cracks provided in this application;

[0044] Figure 4 This application provides a schematic diagram of a specific dendritic crack pattern in a nuclear fuel pellet.

[0045] Figure 5 A schematic diagram of a nuclear fuel pellet crack defect type identification device provided in this application;

[0046] Figure 6 This application provides a structural diagram of an electronic device. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] In existing technologies, machine vision technology is used to automatically identify and calculate the area of ​​surface defects in nuclear fuel pellets, thereby achieving automatic detection and evaluation of pellet surface quality. However, relying solely on the size of surface defects cannot fully reflect the surface quality of the pellets, resulting in low accuracy in surface quality assessment. This is particularly true for surface cracks, which are too small to be judged based on size alone, easily leading to missed detections and misjudgments. To overcome these technical problems, this application proposes a method for identifying crack defect types in nuclear fuel pellets, which can accurately detect crack defect types and improve the capability of crack defect type detection.

[0049] This application discloses a method for identifying the type of crack defect in nuclear fuel pellets. (See also...) Figure 1 As shown, the method may include the following steps:

[0050] Step S11: Obtain an image of the defect area of ​​the nuclear fuel pellet.

[0051] In this embodiment, the defect area image of the nuclear fuel pellet is first obtained, that is, the image of the area on the nuclear fuel pellet where there are cracks.

[0052] In this embodiment, acquiring the defect region image of the nuclear fuel pellet may include: acquiring a sampled image corresponding to the nuclear fuel pellet; the sampled image includes an end face image and a cylindrical image; performing image processing on the sampled image, and extracting suspected defect regions from the sampled image based on the image processing results; the image processing includes morphological processing and connected component analysis; and selecting defect regions with cracks from all the suspected defect regions as defect region images based on screening criteria.

[0053] Understandably, nuclear fuel pellets are typically cylindrical. Therefore, defect detection requires acquiring end-face and cylindrical images of the fuel pellets, which can be obtained using a camera to capture images from each face of the fuel pellet to be inspected. After acquiring the images, image processing is performed, and suspected defect areas are extracted based on the processing results. Specifically, morphological processing and connected component analysis can be used to analyze the acquired images, and suspected defect areas are extracted based on the processed image feature information. Morphology is one of the most widely used techniques in image processing, primarily used to extract image components that are meaningful for expressing and depicting the shape of regions, enabling subsequent recognition work to grasp the most essential shape features of the target object, such as boundaries and connected regions. The basic idea of ​​morphology is to use a special structuring element to measure or extract corresponding shapes or features in the input image for further image analysis and target recognition. In computer vision, a connected component refers to a connected region in an image. Connected component analysis involves extracting and labeling connected components in a binary image after foreground / background separation. Each labeled connected component represents a foreground object, and then some related features of the connected component, such as its area, can be calculated.

[0054] In this embodiment, after identifying the suspected defect areas, based on the filtering conditions for various image feature information, such as the area and aspect ratio of the shape, and according to the threshold configured in the filtering conditions, the target suspected defect areas are selected from all suspected defect areas as the defect areas with cracks, and the corresponding images are used as the defect area images.

[0055] Step S12: Perform line fitting processing on the defect area image to obtain the crack line within the defect area.

[0056] In this embodiment, after obtaining the defect region image, a straight line fitting process is performed on the defect region image to obtain the straight line of the crack within the defect region. That is, the microcracks within the defect region image are fitted into a straight line through the straight line fitting process, for example... Figure 2 As shown, the curve represents a microcrack, and L0 is the fitted crack line.

[0057] In this embodiment, the process of performing line fitting on the defect region image to obtain a straight line of crack within the defect region may include: using Hough transform to detect straight lines in the defect region image, and fitting a straight line of crack within the defect region based on the detection result. Alternatively, line fitting can be performed using methods such as least squares, gradient descent, and Gauss-Newton. Existing line fitting algorithms suitable for images are applicable to this embodiment, and since line fitting is already maturely applied in the field of image processing, it will not be elaborated upon further here.

[0058] Step S13: Determine the type of nuclear fuel pellet crack in the defect area image based on the angle between the crack line and the vertical line and the preset judgment rules.

[0059] In this embodiment, after determining the crack line, the type of nuclear fuel pellet crack in the defect area image is determined based on the angle between the crack line and the vertical direction, combined with preset judgment rules. The types of nuclear fuel pellet cracks include longitudinal crack defects, oblique crack defects, and circumferential crack defects, achieving high-precision and rapid crack type judgment. For example... Figure 2 As shown, α is the angle between the crack line and the vertical direction. For easier visual understanding of the angle, L1 is a line parallel to L0. The specific crack defect type identified can be used to provide feedback on the optimization direction of subsequent production processes.

[0060] In this embodiment, determining the type of nuclear fuel pellet crack in the defect region image based on the angle between the crack line and the vertical line and a preset judgment rule may include: determining the plane type of the defect region image; the plane type includes end faces and cylindrical faces; if the plane type is a cylindrical face, then using a preset cylindrical face judgment rule, the type of nuclear fuel pellet crack in the defect region image is determined based on the angle between the crack line and the vertical line. In this embodiment, the plane type of the defect region is first determined, that is, whether the defect region is located on a cylindrical face or an end face. If it is a cylindrical face, the judgment rule corresponding to the cylindrical face is used to determine the type of nuclear fuel pellet crack.

[0061] In this embodiment, the step of determining the type of nuclear fuel pellet crack in the defect area image based on the angle between the crack line and the vertical line using a preset cylindrical judgment rule can include: if the angle between the crack line and the vertical line is less than a first preset angle, and the length of the crack line is greater than a first preset length, then the type of nuclear fuel pellet crack in the defect area image is determined to be a cylindrical longitudinal crack; if the angle between the crack line and the vertical line is greater than a first preset angle and less than a second preset angle, and the length of the crack line is greater than a first preset length, then the type of nuclear fuel pellet crack in the defect area image is a cylindrical oblique crack; if the angle between the crack line and the vertical line is greater than a second preset angle and less than a third preset angle, and the length of the crack line is greater than a first preset length, then the type of nuclear fuel pellet crack in the defect area image is a cylindrical circumferential crack.

[0062] The first preset angle can be 20°, the second preset angle can be 75°, the third preset angle can be 90°, and the first preset length can be 4mm. For example... Figure 2As shown, if the included angle is less than 20°, the length of the fitted line L0 is greater than 4mm, and it is located on the cylindrical surface, then the suspected defect is judged as a longitudinal crack defect on the cylindrical surface; if the included angle is between 20° and 75°, the length of the fitted line L0 is greater than 4mm, and it is located on the cylindrical surface, then the suspected defect is judged as an oblique crack defect on the cylindrical surface; if the included angle is between 75° and 90°, the length of the fitted line L0 is greater than 4mm, and it is located on the cylindrical surface, then the suspected defect is judged as a circumferential crack defect on the cylindrical surface.

[0063] As can be seen from the above, this embodiment acquires an image of the defect area of ​​a nuclear fuel pellet; performs linear fitting processing on the defect area image to obtain a crack line within the defect area; and determines the type of nuclear fuel pellet crack in the defect area image based on the angle between the crack line and the vertical line and a preset judgment rule. It is evident that by performing linear fitting processing on the defect area, fitting the micro-cracks in the defect area to obtain the corresponding crack lines, and then determining the type of crack present in the nuclear fuel pellet in the defect area image based on the angle between the crack line and the vertical direction and the preset judgment rule, this method can significantly reduce the labor intensity of workers and accurately detect the type of pellet crack defects, improving the ability to detect pellet crack defects and thus facilitating feedback to subsequent production processes.

[0064] This application discloses a specific method for identifying the type of nuclear fuel pellet crack defects. (See also...) Figure 3 As shown, the method may include the following steps:

[0065] Step S21: Obtain an image of the defect area of ​​the nuclear fuel pellet.

[0066] Step S22: Perform line fitting processing on the defect area image to obtain the crack line within the defect area.

[0067] Step S23: Determine the number of straight lines obtained by fitting the crack line. If the number of straight lines is 1, perform the operation of determining the type of nuclear fuel pellet crack in the defect area image based on the angle between the crack line and the vertical line and the preset judgment rule.

[0068] In this embodiment, after fitting the crack lines within the defect region, the number of fitted crack lines is first determined. If the number of fitted crack lines is 1, the operation described in the above embodiment, which determines the type of nuclear fuel pellet crack in the defect region image based on the angle between the crack line and the vertical line and a preset judgment rule, is executed.

[0069] Step S24: If the number of straight lines is greater than 1, then determine whether there are intersecting crack lines between the crack lines.

[0070] In this embodiment, if the number of straight lines obtained by fitting the crack lines is less than 1, it is further determined whether there are intersecting crack lines before these crack lines.

[0071] Step S25: If there are intersecting straight lines, determine the length of each crack line. If there is a crack line with a length greater than the second preset length, determine that the type of nuclear fuel pellet crack in the defect area image is a dendritic crack.

[0072] In this embodiment, if there are intersecting lines between any two or more crack lines within the fitted multiple crack lines, the length of each crack line is determined. If there is a crack line with a length greater than a second preset length, the type of nuclear fuel pellet crack in the defect area image is determined to be a dendritic crack.

[0073] That is, multiple crack lines L0 obtained by fitting are used to determine the length of each crack line. If multiple lines intersect, and the length of a certain crack L0 is greater than 1.00 mm, then a dendritic crack exists in the defect region. For example... Figure 4 As shown. If the defect area image is located on the end face, the type of nuclear fuel pellet crack is determined to be an end face dendritic crack; if the defect area image is located on the cylindrical surface, the type of nuclear fuel pellet crack is determined to be a cylindrical dendritic crack.

[0074] The specific processes of steps S21 and S22 can be found in the relevant content disclosed in the foregoing embodiments, and will not be repeated here.

[0075] As can be seen from the above, in this embodiment, the number of fitted crack lines is determined. If the number of lines is 1, the type of nuclear fuel pellet crack in the defect area image is determined based on the angle between the crack line and the vertical line and a preset judgment rule. If the number of lines is greater than 1, it is determined whether there are intersecting crack lines. If there are intersecting lines, the length of each crack line is determined. If there is a crack line with a length greater than a second preset length, the type of nuclear fuel pellet crack in the defect area image is determined to be a dendritic crack. Therefore, when only one crack line is fitted, the crack type is determined based on the angle between the crack line and the vertical line. When multiple crack lines are fitted, the type of crack can be determined based on conditions such as whether they intersect, further improving the ability and accuracy of crack detection.

[0076] Accordingly, this application also discloses a nuclear fuel pellet crack defect type identification device, see [link to relevant documentation]. Figure 5 As shown, the device includes:

[0077] Image acquisition module 11 is used to acquire images of defect areas in nuclear fuel pellets;

[0078] The straight line fitting module 12 is used to perform straight line fitting processing on the defect area image to obtain the crack straight line within the defect area;

[0079] The type determination module 13 is used to determine the type of nuclear fuel pellet crack in the defect area image based on the angle between the crack line and the vertical line and the preset determination rules.

[0080] As can be seen from the above, this embodiment acquires an image of the defect area of ​​a nuclear fuel pellet; performs linear fitting processing on the defect area image to obtain a crack line within the defect area; and determines the type of nuclear fuel pellet crack in the defect area image based on the angle between the crack line and the vertical line and a preset judgment rule. It is evident that by performing linear fitting processing on the defect area, fitting the micro-cracks in the defect area to obtain the corresponding crack lines, and then determining the type of crack present in the nuclear fuel pellet in the defect area image based on the angle between the crack line and the vertical direction and the preset judgment rule, this method can significantly reduce the labor intensity of workers and accurately detect the type of pellet crack defects, improving the ability to detect pellet crack defects and thus facilitating feedback to subsequent production processes.

[0081] In some specific embodiments, the image acquisition module 11 may specifically include:

[0082] An image acquisition unit is used to acquire images corresponding to nuclear fuel pellets; the acquired images include end face images and cylindrical face images.

[0083] A suspected defect region determination unit is used to perform image processing on the acquired image and extract suspected defect regions from the acquired image based on the image processing results; the image processing includes morphological processing and connected component analysis;

[0084] The defect area image determination unit is used to select defect areas with cracks from all the suspected defect areas as defect area images according to the screening conditions.

[0085] In some specific embodiments, the line fitting module 12 may specifically include:

[0086] The line detection unit is used to perform line detection on the defect area image using Hough transform, and to obtain the crack line within the defect area based on the detection result.

[0087] In some specific embodiments, the type determination module 13 may specifically include:

[0088] A plane type determination unit is used to determine the plane type of the defect region image; the plane type includes end face and cylindrical surface.

[0089] The first judgment unit is used to determine the type of nuclear fuel pellet crack in the defect area image by using a preset cylindrical judgment rule and based on the angle between the crack line and the vertical line if the plane type is cylindrical.

[0090] The second judgment unit is used to determine the type of nuclear fuel pellet crack in the defect area image by using a preset end-face judgment rule and based on the angle between the crack line and the vertical line if the plane type is an end face.

[0091] In some specific embodiments, the first determining unit may specifically include:

[0092] The cylindrical longitudinal crack judgment unit is used to determine that the type of nuclear fuel pellet crack in the defect area image is a cylindrical longitudinal crack if the angle between the crack line and the vertical line is less than a first preset angle and the length of the crack line is greater than a first preset length.

[0093] The cylindrical oblique crack judgment unit is used to determine that the type of nuclear fuel pellet crack in the defect area image is a cylindrical oblique crack if the angle between the crack line and the vertical line is greater than a first preset angle and less than a second preset angle, and the length of the crack line is greater than a first preset length.

[0094] The cylindrical circumferential crack judgment unit is used to determine that the type of nuclear fuel pellet crack in the defect area image is a cylindrical circumferential crack if the angle between the crack line and the vertical line is greater than a second preset angle and less than a third preset angle, and the length of the crack line is greater than a first preset length.

[0095] In some specific embodiments, the nuclear fuel pellet crack defect type identification device may specifically include:

[0096] The quantity judgment unit is used to judge the number of lines of the fitted crack line. If the number of lines is 1, the operation of judging the type of nuclear fuel pellet crack in the defect area image according to the angle between the crack line and the vertical line and the preset judgment rule is performed.

[0097] A dendritic crack determination unit is used to determine whether the type of nuclear fuel pellet crack in the defect region image is a dendritic crack if the number of straight lines is greater than 1.

[0098] In some specific embodiments, the dendritic crack detection unit may specifically include:

[0099] An intersection determination unit is used to determine whether there are intersecting crack lines between the crack lines;

[0100] A length determination unit is used to determine the length of each of the crack lines if intersecting lines exist;

[0101] The dendritic crack determination unit is used to determine that the type of nuclear fuel pellet crack in the defect region image is a dendritic crack if there is a crack line with a length greater than a second preset length.

[0102] Furthermore, this application also discloses an electronic device, see [link to relevant documentation]. Figure 6 As shown, the content in the figure should not be considered as any limitation on the scope of use of this application.

[0103] Figure 6 This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of this application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the nuclear fuel pellet crack defect type identification method disclosed in any of the foregoing embodiments.

[0104] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0105] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon include operating system 221, computer program 222 and data 223 including defect area image, etc. The storage method can be temporary storage or permanent storage.

[0106] The operating system 221 manages and controls the various hardware devices on the electronic device 20 and the computer program 222 to enable the processor 21 to perform calculations and processing on the massive amounts of data 223 in the memory 22. It can be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the nuclear fuel pellet crack defect type identification method executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include computer programs capable of performing other specific tasks.

[0107] Furthermore, this application also discloses a computer storage medium storing computer-executable instructions. When the computer-executable instructions are loaded and executed by a processor, they implement the steps of the nuclear fuel pellet crack defect type identification method disclosed in any of the foregoing embodiments.

[0108] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0109] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0110] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0111] The present invention provides a detailed description of a method, apparatus, device, and medium for identifying the type of nuclear fuel pellet cracks. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for identifying the type of crack defect in nuclear fuel pellets, characterized in that, include: Acquire images of defective areas in nuclear fuel pellets; The defect area image is subjected to line fitting processing to obtain the crack line within the defect area; Based on the angle between the crack line and the vertical line and the preset judgment rules, the type of nuclear fuel pellet crack in the defect area image is determined; the types of nuclear fuel pellet crack include longitudinal crack defects, oblique crack defects, and circumferential crack defects; The step of determining the type of nuclear fuel pellet crack in the defect region image based on the angle between the crack line and the vertical line and a preset judgment rule includes: Determine the plane type where the defect region image is located; the plane type includes end faces and cylindrical surfaces. If the plane type is cylindrical, then the type of nuclear fuel pellet crack in the defect area image is determined by using the preset cylindrical judgment rules and the angle between the crack line and the vertical line; the vertical line is the direction perpendicular to the end face of the nuclear fuel pellet. Before determining the type of nuclear fuel pellet crack in the defect region image based on the angle between the crack line and the vertical line and a preset judgment rule, the method further includes: Determine the number of straight lines obtained from the fitted crack lines. If the number of straight lines is greater than 1, determine whether the type of nuclear fuel pellet crack in the defect region image is a dendritic crack. The step of determining whether the type of nuclear fuel pellet crack in the defect region image is a dendritic crack includes: Determine whether there are intersecting crack lines between the crack lines; if there are intersecting lines, determine the length of each crack line; if there is a crack line with a length greater than a second preset length, determine that the type of nuclear fuel pellet crack in the defect area image is a dendritic crack.

2. The method for identifying the type of nuclear fuel pellet crack defects according to claim 1, characterized in that, The acquisition of images of defective areas in nuclear fuel pellets includes: Acquire images corresponding to nuclear fuel pellets; the acquired images include end face images and cylindrical face images; The acquired images are processed, and suspected defect regions are extracted from the acquired images based on the image processing results; the image processing includes morphological processing and connected component analysis; Based on the selection criteria, defective regions with cracks are selected from all the suspected defective regions as defective region images.

3. The method for identifying the type of nuclear fuel pellet crack defects according to claim 1, characterized in that, The process of performing linear fitting on the defect region image to obtain a straight crack line within the defect region includes: The Hough transform is used to detect straight lines in the defect area image, and the crack lines in the defect area are obtained by fitting the detection results.

4. The method for identifying the type of nuclear fuel pellet crack defects according to claim 1, characterized in that, The method of determining the type of nuclear fuel pellet crack in the defect region image using preset cylindrical surface judgment rules, based on the angle between the crack line and the vertical line, includes: If the angle between the crack line and the vertical line is less than a first preset angle, and the length of the crack line is greater than a first preset length, then the type of nuclear fuel pellet crack in the defect area image is determined to be a cylindrical longitudinal crack. If the angle between the crack line and the vertical line is greater than a first preset angle and less than a second preset angle, and the length of the crack line is greater than a first preset length, then the type of nuclear fuel pellet crack in the defect area image is determined to be a cylindrical oblique crack. If the angle between the crack line and the vertical line is greater than the second preset angle and less than the third preset angle, and the length of the crack line is greater than the first preset length, then the type of nuclear fuel pellet crack in the defect area image is determined to be a cylindrical circumferential crack.

5. The method for identifying the type of nuclear fuel pellet crack defects according to any one of claims 1 to 4, characterized in that, After determining the number of straight lines obtained from the fitted crack lines, the method further includes: If the number of straight lines is 1, then the operation of determining the type of nuclear fuel pellet crack in the defect area image is performed based on the angle between the crack line and the vertical line and the preset judgment rule.

6. A device for identifying the type of nuclear fuel pellet crack defects, characterized in that, include: The image acquisition module is used to acquire images of defect areas in nuclear fuel pellets; The line fitting module is used to perform line fitting processing on the defect area image to obtain the crack line within the defect area; The type determination module is used to determine the type of nuclear fuel pellet crack in the defect area image based on the angle between the crack line and the vertical line and a preset determination rule; the types of nuclear fuel pellet crack include longitudinal crack defects, oblique crack defects, and circumferential crack defects; The type determination module is used to determine the plane type where the defect area image is located; the plane type includes end face and cylindrical face; if the plane type is cylindrical face, then the type of nuclear fuel pellet crack in the defect area image is determined by using a preset cylindrical face determination rule based on the angle between the crack line and the vertical line; the vertical line is the direction perpendicular to the end face of the nuclear fuel pellet. The device includes: The quantity judgment unit is used to determine the number of lines of the fitted crack line before determining the type of nuclear fuel pellet crack in the defect area image based on the angle between the crack line and the vertical line and the preset judgment rules. A dendritic crack determination unit is used to determine whether the type of nuclear fuel pellet crack in the defect region image is a dendritic crack if the number of straight lines is greater than 1. The dendritic crack determination unit is used to determine whether there are intersecting crack lines between the crack lines; if there are intersecting lines, the length of each crack line is determined; if there are crack lines with a length greater than a second preset length, the type of nuclear fuel pellet crack in the defect area image is determined to be a dendritic crack.

7. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the nuclear fuel pellet crack defect type identification method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, Used to store computer programs; wherein the computer programs, when executed by a processor, implement the nuclear fuel pellet crack defect type identification method as described in any one of claims 1 to 5.

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