Welding defect detection method, device and equipment

Abstract

The invention discloses a welding defect detection method, device and equipment, and the method comprises the steps: scanning a welding defect workpiece according to preset scanning parameters, and obtaining a defect scanning graph; determining a corresponding relation between each defect image feature and preset welding defect information according to preset welding defects and defect image features of the defect scanning graph; scanning the actual workpiece according to preset scanning parameters to obtain an actual scanning graph; according to the corresponding relation between preset welding defect information and defect image features, actual welding defect information corresponding to the actual image features in the actual scanning image is determined. On the basis, a detailed defect database can be established by presetting a plurality of welding defects and corresponding welding defect information thereof. Therefore, when the actual scanning image is analyzed subsequently, the actual image features and the preset defect features can be matched more accurately, so that the convenience and accuracy of welding defect detection are improved.

Description

Technical Field

[0001] The present application relates to the field of welding quality inspection, and in particular to a welding defect detection method, device and equipment. Background Art

[0002] Diffusion welding is a solid-state welding method that applies pressure to the substrates of two different materials at high temperature, so that the surfaces of the materials are brought close to each other under the action of temperature and pressure, local plastic deformation occurs, and atoms diffuse with each other, thereby forming a new diffusion layer at the interface to achieve reliable connection. However, due to the complex connection mechanism of the diffusion interface, defects such as unwelded, holes, and tiny separation gaps are easily generated at the diffusion interface, which will seriously affect the mechanical properties of the welded parts and even cause the weld to come apart.

[0003] Ultrasonic testing has good sensitivity to surface defects such as unwelded, holes, and small separation gaps generated inside diffusion welding structures. Therefore, diffusion welds are usually evaluated by ultrasonic testing. The principle of ultrasonic testing is to judge the quality of the weld by observing the echo amplitude of the diffusion weld interface, but this method cannot evaluate the area size of unwelded, holes, and separation gaps of diffusion layer separation defects.

[0004] At present, the detection of weld defect size in the industry is mainly through image analysis of the chromaticity value, gray value and other data of the scanned image. Among them, a three-dimensional reconstruction method of phased array ultrasonic weld detection slices proposed by the patent with publication number CN117969663A includes the following steps: based on the physical size of the pipeline welding component, a three-dimensional physical model of the pipeline welding component is established; based on the display effect of the weld defect of the known pipeline welding component, the gray threshold of the defect display is determined; the gray value of the detection slice is obtained, and the coordinates of each detection slice pixel point in the three-dimensional physical model are calculated; based on the gray threshold and coordinates, the RGB value of each detection slice pixel point in the three-dimensional physical model is calculated; based on the RGB value, a three-dimensional ring model or a three-dimensional tiled model is generated; based on the three-dimensional ring model or the three-dimensional tiled model, the detection of pipeline weld defects is completed. The present invention can intuitively display the actual spatial position and size of the weld defect in the three-dimensional pipeline through different viewing angles, and can operate and observe the three-dimensional pipeline in different directions, which greatly improves the evaluation effect and convenience of the weld quality.

[0005] The above patent determines the location and size of weld defects by analyzing the color value and gray value of the scanned image and constructing a three-dimensional model. However, the three-dimensional reconstruction process alone involves a large amount of data processing and calculation, including the establishment of a three-dimensional physical model, the determination of gray thresholds, the calculation of coordinates and RGB values, etc. This may lead to high computational complexity and a large demand for computing and storage resources. Summary of the invention

[0006] The embodiments of the present application provide a welding defect detection method, device and equipment, which improve the convenience of welding quality detection.

[0007] According to a first aspect of the present application, an embodiment of the present application provides a welding defect detection method, which may include:

[0008] Scanning the weld defect workpiece according to preset scanning parameters to obtain a defect scanning diagram, wherein a plurality of preset welding defects are set for the weld defect workpiece, and the preset welding defect information of each preset welding defect is different;

[0009] According to the preset welding defects and the defect image features of the defect scan image, determining the corresponding relationship between each defect image feature and the preset welding defect information;

[0010] Scan the actual workpiece according to the preset scanning parameters to obtain the actual scanning image;

[0011] According to the correspondence between the preset welding defect information and the defect image features, the actual welding defect information corresponding to the actual image features in the actual scanned image is determined.

[0012] Optionally, before scanning the weld defect workpiece according to preset scanning parameters to obtain a defect scanning image, the method further includes:

[0013] Acquire a sample workpiece, the sample workpiece comprising a first substrate and a second substrate;

[0014] Performing defect processing on the first surface of the first substrate to form a sample substrate;

[0015] The first surface of the sample substrate is welded to the second substrate to form a welded defect workpiece.

[0016] Optionally, defect processing is performed on the first surface of the first substrate to form a sample substrate, including:

[0017] The first surface of the first substrate is subjected to hole processing to obtain a sample substrate having a plurality of processed holes, wherein each processed hole has a different diameter.

[0018] Optionally, the welding defect workpiece is scanned according to preset scanning parameters to obtain a defect scanning diagram, including:

[0019] The scanning surface is scanned according to preset scanning parameters to obtain a defect scanning image, where the scanning surface is an outer surface of the second substrate away from the first surface in the welding defect workpiece.

[0020] Optionally, defect processing is performed on the first surface of the first substrate to form a sample substrate, including:

[0021] Obtain a welding baffle plate, wherein a plurality of connecting holes are provided on the welding baffle plate;

[0022] Abutting the welding baffle against the first surface of the first substrate;

[0023] Applying welding resist to the welding resist plate so that the welding resist flows to the first surface of the first substrate through the connecting hole;

[0024] The welded baffle is separated from the first surface of the first substrate to obtain a sample substrate.

[0025] Optionally, according to the preset welding defect and the defect image feature of the defect scan image, determining the correspondence between each defect image feature and the preset welding defect information includes:

[0026] Obtaining actual position information of a preset welding defect and characteristic position information of a defect image feature;

[0027] Determine the defect image feature corresponding to each preset welding defect according to the pre-feature position information and the actual position information;

[0028] According to the defect image features corresponding to the preset welding defects and the preset welding defect information of each welding defect, the preset welding defect information corresponding to each defect image feature is determined.

[0029] Optionally, according to the correspondence between the preset welding defect information and the defect image feature, determining the actual welding defect information corresponding to the actual image feature in the actual scanned image includes:

[0030] Determining the similarity between the actual image features and each defect image feature;

[0031] Determine the defect image feature corresponding to the maximum value among multiple similarities as the similar image feature;

[0032] The preset welding defect information corresponding to the similar image features is determined to be the actual welding defect information.

[0033] According to a second aspect of the present application, a welding defect detection device is provided, which may include:

[0034] A first scanning module is used to scan the welding defect workpiece according to preset scanning parameters to obtain a defect scanning diagram, wherein the welding defect workpiece is set with a plurality of preset welding defects, and the preset welding defect information of each preset welding defect is different;

[0035] A first determination module is used to determine the correspondence between each defect image feature and preset welding defect information according to the preset welding defect and the defect image feature of the defect scan image;

[0036] The second scanning module is used to scan the actual workpiece according to the preset scanning parameters to obtain the actual scanning image;

[0037] The second determination module is used to determine the actual welding defect information corresponding to the actual image feature in the actual scan image according to the corresponding relationship between the preset welding defect information and the defect image feature.

[0038] According to a third aspect of the present application, an embodiment of the present application provides a welding defect detection device, which includes: a processor and a memory storing computer program instructions;

[0039] When the processor executes the computer program instructions, it implements the welding defect detection method as described in any one of the first aspects.

[0040] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0041] The embodiment of the present application provides a welding defect detection method, device and equipment, by scanning a welding defect workpiece according to preset scanning parameters, thereby obtaining a scanned image, thereby determining the correspondence between each defect image feature and the preset welding defect information according to the defect image feature in the scanned image and the preset welding defect of the welding defect workpiece, so that after the actual workpiece is subsequently scanned to obtain the actual scanned image, the actual welding defect information corresponding to the actual image feature in the actual scanned image can be determined according to the correspondence between the preset welding defect information and the defect image feature. Based on this, a detailed defect database can be established by presetting multiple welding defects and their corresponding welding defect information. This makes it possible to more accurately match the actual image features with the preset defect features when analyzing the actual scanned image in the subsequent analysis, thereby improving the convenience and accuracy of welding defect detection, and after the correspondence between the preset welding defects and the defect image features is established, the defects in the actual scanned image can be automatically identified, reducing the time and labor cost of manual inspection and improving detection efficiency.

[0042] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application, and do not constitute an improper limitation on the present application.

[0044] Figure 1 is a flow chart of a welding defect detection method according to an exemplary embodiment;

[0045] Figure 2is a structural schematic diagram of a welding defect detection device according to an exemplary embodiment;

[0046] Figure 3 The figure is a structural block diagram of a welding defect detection device according to an exemplary embodiment. DETAILED DESCRIPTION

[0047] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0048] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0049] Based on this, the present application provides a welding defect detection method, device and equipment. The welding defect detection method provided in the embodiment of the present application is first introduced below.

[0050] Embodiment 1;

[0051] Figure 1 A schematic diagram of a welding defect detection method provided by an embodiment of the present application is shown. Figure 1 As shown, it may include the following steps:

[0052] S101, scanning a welding defective workpiece according to preset scanning parameters to obtain a defect scanning diagram, wherein a plurality of preset welding defects are set for the welding defective workpiece, and preset welding defect information of each preset welding defect is different;

[0053] S102, determining a correspondence between each defect image feature and preset welding defect information according to the preset welding defect and the defect image feature of the defect scan image;

[0054] S103, scanning the actual workpiece according to preset scanning parameters to obtain an actual scanning image;

[0055] S104, determining actual welding defect information corresponding to the actual image feature in the actual scanned image according to the correspondence between the preset welding defect information and the defect image feature.

[0056] Based on the above embodiment, a scanning image is obtained by scanning a welding defect workpiece according to preset scanning parameters, thereby determining the correspondence between each defect image feature and the preset welding defect information according to the defect image features in the scanning image and the preset welding defects of the welding defect workpiece, so that after the actual workpiece is subsequently scanned to obtain the actual scanning image, the actual welding defect information corresponding to the actual image feature in the actual scanning image can be determined according to the correspondence between the preset welding defect information and the defect image features. Based on this, a detailed defect database can be established by presetting multiple welding defects and their corresponding welding defect information. This makes it possible to more accurately match the actual image features with the preset defect features when analyzing the actual scanning image later, thereby improving the convenience and accuracy of welding defect detection, and after the correspondence between the preset welding defects and the defect image features is established, the defects in the actual scanning image can be automatically identified, reducing the time and labor cost of manual inspection and improving detection efficiency.

[0057] In the above S101, the welding defective workpiece is scanned by an ultrasonic scanning detection method according to preset scanning parameters to obtain a defect scanning image.

[0058] Among them, the preset welding defects may include: unwelded, holes, separation gaps; the preset welding defect information may include: separation gap length, hole diameter, etc.; in the defect scanning diagram, various defect image features related to different defects may be displayed.

[0059] As an example, the preset scanning parameters include: at least one of a detection frequency, a repetition frequency, a detection focus position, a detection incident angle, and a scanning interval.

[0060] In the above S102, by determining the correspondence between the preset welding defects and the defect image features, the preset welding defect information corresponding to each defect image can be obtained, thereby obtaining the correspondence between the defect image features and the preset welding defect information.

[0061] As an example, image features may include: image pigment value, image display area, waveform inflection point and other feature information; defect image features refer to image features in defect scan images, and actual image features refer to image features in actual scan images.

[0062] Specifically, the above S102 may include:

[0063] S1021, obtaining actual position information of a preset welding defect and feature position information of a defect image feature;

[0064] S1022, determining a defect image feature corresponding to each preset welding defect according to the pre-feature position information and the actual position information;

[0065] S1022, according to the defect image feature corresponding to the preset welding defect and the preset welding defect information of each welding defect, determine the preset welding defect information corresponding to each defect image feature.

[0066] In the above S1021, since the preset welding defect is preset, the position of the preset welding defect can be freely selected, and the position of the preset welding defect in the welding defect workpiece can be directly obtained.

[0067] By measuring the defect scan image, feature position information of the defect image feature in the defect scan image is determined.

[0068] In the above S1022, since the defect scanning image is obtained by scanning the welding defect workpiece, and the defect image feature is a feature that can reflect the defect position in the defect scanning image. Therefore, there is a corresponding relationship between the defect image feature in the defect scanning image and the preset welding defect of the welding defect workpiece. Therefore, according to the actual position information of the preset welding defect, the corresponding actual position information and feature position information can be found from the feature position information of multiple defect image features, so that the defect image feature corresponding to each preset welding defect can be determined.

[0069] In the above S1023, the defect image features corresponding to the preset welding defects and the preset welding defect information of each welding defect are known, so the correspondence between each defect image feature and the preset welding defect information can be determined according to the connection relationship.

[0070] In the above S103, as in the above S101, the actual workpiece is scanned using the same method and preset scanning parameters to obtain an actual scanned image.

[0071] The structure, material, welding process, etc. of the actual workpiece and the sample workpiece are exactly the same.

[0072] In the above S104, each different defect image feature has corresponding preset welding defect information, so that the actual image feature in the actual scan image can be compared to find a similar one from the defect image features, thereby determining that the preset welding defect information corresponding to the similar defect image feature is the preset welding defect information of the actual image feature.

[0073] Specifically, the above S104 may include:

[0074] S1041, determining the similarity between the actual image feature and each defect image feature;

[0075] S1042, determining the defect image feature corresponding to the maximum value among the multiple similarities as the similar image feature;

[0076] S1043, determining that the preset welding defect information corresponding to the similar image feature is the actual welding defect information.

[0077] In the above S1041, the similarity between the actual image feature and each defect image feature is determined based on information such as image pigment values, image display areas, waveform inflection points, etc. of the actual image feature and the defect image feature.

[0078] In the above S1042, an image feature with the greatest similarity is selected from the similarities between the actual image feature and each defect image feature, and is determined as the image feature most similar to the actual image feature, ie, the similar image feature.

[0079] In the above S1043, since the similar image features are most similar to the actual image features, and the defect scan image and the actual scan image are both obtained by scanning using the same method and parameters, the image features are similar and the corresponding defects are also similar. Therefore, it can be determined that the preset welding defect information corresponding to the similar image features can also be used as the actual welding defect information corresponding to the actual image features.

[0080] Based on the above embodiment, similar image features that are most similar to actual image features are determined from multiple defect image features through similarity judgment, and then the preset welding defect information of the similar image features is used as the actual welding defect information, thereby improving the accuracy of determining the actual welding defect information in the actual workpiece.

[0081] Optionally, in this embodiment, before the above S101, the welding defect detection method may further include:

[0082] S105, obtaining a sample workpiece, the sample workpiece comprising a first substrate and a second substrate;

[0083] S106, performing defect processing on the first surface of the first substrate to form a sample substrate;

[0084] S107, welding the first surface of the sample substrate to the second substrate to form a welded defect workpiece.

[0085] In the above S105, the actual workpiece and the sample workpiece are both formed by welding two substrates, wherein the sample workpiece is a first substrate and a second substrate.

[0086] In the above S106, the sample workpiece is a comparison workpiece formed by artificial processing, so the first surface of the first substrate can be artificially processed to form defects, so that defects are formed on the first substrate, which is the sample substrate.

[0087] Specifically, S106 may include:

[0088] S1061, performing hole processing on the first surface of the first substrate to obtain a sample substrate having a plurality of processed holes, each of which has a different diameter.

[0089] In the above S1061, a plurality of processed holes of different diameters are formed on the first surface of the first substrate by performing hole processing on the first surface, and the plurality of processed holes of different diameters can be used to simulate defects such as holes of various diameters. By processing a plurality of processed holes on the first surface of the substrate, the hole defects are simulated by the processed holes, thereby improving the accuracy of the actual welding defect information obtained by subsequent detection.

[0090] Preferably, the greater the number of processed holes with different diameters, the more accurate the actual welding defect information obtained by subsequent detection.

[0091] The above S101 may also include:

[0092] S1011, scanning a scanning surface according to preset scanning parameters to obtain a defect scanning image, where the scanning surface is an outer surface of the second substrate away from the first surface in the welded defective workpiece.

[0093] In the above S1011, since the first surface of the first substrate is processed to form a plurality of processing holes, and the first surface is welded to the second substrate to form a welding defective workpiece, in order to ensure that the processing holes in the welding defective workpiece can be accurately scanned, it is necessary to scan the scanning surface of the second substrate in the welding defective workpiece that is away from the first surface.

[0094] More specifically, the above S106 may also include:

[0095] S1062, obtaining a welding baffle plate, wherein a plurality of connecting holes are provided on the welding baffle plate;

[0096] S1063, welding the baffle plate against the first surface of the first substrate;

[0097] S1064, applying a welding flow blocker to the welding flow blocker so that the welding flow blocker flows toward the first surface of the first substrate through the connecting hole;

[0098] S1065, separating the welded baffle plate from the first surface of the first substrate to obtain a sample substrate.

[0099] In the above S1062, a welding baffle is manufactured, wherein a plurality of connecting holes are arranged on the welding baffle.

[0100] In the above S1063, the welding baffle is attached to the first surface of the first substrate so that the welding baffle is in contact with the first surface of the first substrate.

[0101] In the above S1064, a welding resist is brushed onto a surface of the welding resist plate away from the first surface, and the welding resist can flow onto the first surface of the first substrate through the connecting holes.

[0102] As an example, welding resist is a welding auxiliary material used to prevent welding auxiliary materials from flowing onto the surface of the base material or the surface of the fixture that does not need to be welded during welding.

[0103] In the above S1065, the welding baffle is separated from the first substrate. Since the welding baffle is viscous, it will remain on the first surface of the first substrate, thereby obtaining a sample substrate.

[0104] In the process of further welding the sample matrix and the second matrix, a separation gap defect is formed after the sample matrix and the second matrix are welded due to the presence of a welding barrier on the surface of the sample matrix.

[0105] When welding baffles of different sizes and connecting holes of different sizes are used, the size and length of the separation gap defect formed after welding the sample substrate and the second substrate are also different. In order to improve the accuracy of welding defect detection, as many welding baffles with connecting holes of different sizes and different sizes as possible can be designed.

[0106] In the above S107, the second substrate is welded to the first surface of the first substrate to obtain a welded defective workpiece, in which the defect is located inside the welded defective workpiece.

[0107] In one embodiment, welding may include diffusion welding. Since diffusion welding does not produce visible deformation and relative movement during the welding process, defects such as unwelded joints, holes, and separation gaps are easily generated at the welds formed after welding.

[0108] Embodiment 2;

[0109] Based on the same inventive concept, this embodiment further provides a welding defect detection device 200 on the basis of Embodiment 1, specifically as follows Figure 2 As shown, it includes:

[0110] The first scanning module 210 is used to scan the welding defect workpiece according to the preset scanning parameters to obtain a defect scanning diagram. The welding defect workpiece is set with multiple preset welding defects, and the preset welding defect information of each preset welding defect is different;

[0111] A first determination module 220, for determining a correspondence between each defect image feature and preset welding defect information according to preset welding defects and defect image features of a defect scan image;

[0112] The second scanning module 230 is used to scan the actual workpiece according to the preset scanning parameters to obtain an actual scanning image;

[0113] The second determination module 240 is used to determine the actual welding defect information corresponding to the actual image feature in the actual scan image according to the corresponding relationship between the preset welding defect information and the defect image feature.

[0114] Based on the above embodiment, the first scanning module 210 scans the welding defect workpiece according to the preset scanning parameters to obtain a defect scanning diagram, and the first determining module 220 can determine the correspondence between each defect image feature and the preset welding defect information according to the defect image feature in the defect scanning diagram and the preset welding defect of the welding defect workpiece, and the second scanning module 230 scans the actual workpiece to obtain the actual scanning diagram in the subsequent process, and the second determining module 240 can determine the actual welding defect information corresponding to the actual image feature in the actual scanning diagram according to the correspondence between the preset welding defect information and the defect image feature. Based on this, a detailed defect database can be established by presetting multiple welding defects and their corresponding welding defect information. This makes it possible to more accurately match the actual image features with the preset defect features when analyzing the actual scanning diagram in the subsequent process, thereby improving the convenience and accuracy of welding defect detection. In addition, after the correspondence between the preset welding defects and the defect image features is established, the defects in the actual scanning diagram can be automatically identified, reducing the time and labor cost of manual inspection and improving the detection efficiency.

[0115] Optionally, the welding defect detection device 200 may include:

[0116] A first acquisition module, used for acquiring a sample workpiece, wherein the sample workpiece includes a first substrate and a second substrate;

[0117] A processing module, used for performing defect processing on the first surface of the first substrate to form a sample substrate;

[0118] The welding module is used to weld the first surface of the sample matrix to the second matrix to form a welded defect workpiece.

[0119] Optionally, the processing module may include:

[0120] The first processing unit is used to perform hole processing on the first surface of the first substrate to obtain a sample substrate with a plurality of processed holes, each of which has a different diameter.

[0121] Optionally, the first scanning module 210 may include:

[0122] The scanning unit is used to scan the scanning surface according to preset scanning parameters to obtain a defect scanning image, wherein the scanning surface is the outer surface of the second substrate away from the first surface in the welding defect workpiece.

[0123] Optionally, the processing module may include:

[0124] A first acquisition unit is used to acquire a welding baffle plate, wherein a plurality of connecting holes are arranged on the welding baffle plate;

[0125] An abutting unit, used for abutting the welding spoiler against the first surface of the first substrate;

[0126] A coating unit, used for coating the welding resist to the welding resist plate, so that the welding resist flows to the first surface of the first substrate through the connecting hole;

[0127] The separation unit is used to separate the welded baffle from the first surface of the first substrate to obtain a sample substrate.

[0128] Optionally, the first determining module 220 may include:

[0129] A second acquisition unit is used to acquire actual position information of a preset welding defect and feature position information of a defect image feature;

[0130] A first determining unit, used to determine a defect image feature corresponding to each preset welding defect according to the pre-feature position information and the actual position information;

[0131] The second determining unit is used to determine the preset welding defect information corresponding to each defect image feature according to the defect image feature corresponding to the preset welding defect and the preset welding defect information of each welding defect.

[0132] Optionally, the second determining module 240 may include:

[0133] a third determination unit, used to determine the similarity between the actual image feature and each defect image feature;

[0134] A fourth determining unit, configured to determine a defect image feature corresponding to a maximum value among a plurality of similarities as a similar image feature;

[0135] The fifth determining unit is used to determine that the preset welding defect information corresponding to the similar image feature is the actual welding defect information.

[0136] In Example 2, each process of the above-mentioned Example 1 can be implemented and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0137] Embodiment 3:

[0138] Figure 3 A schematic diagram of the hardware structure of a welding defect detection device provided by an embodiment of the present invention is shown.

[0139] The welding defect detection device may include a processor 301 and a memory 302 storing computer program instructions.

[0140] Specifically, the processor 301 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiment of the present invention.

[0141] The memory 302 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 302 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, the memory 302 may include a removable or non-removable (or fixed) medium. In appropriate cases, the memory 302 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 32 is a non-volatile solid-state memory.

[0142] In certain embodiments, the memory 302 may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage media device, an optical storage media device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Thus, typically, the memory 302 includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors 301), it is operable to perform the operations described with reference to the method according to an aspect of the present application.

[0143] The processor 301 implements any one of the welding defect detection methods in the above embodiments by reading and executing computer program instructions stored in the memory 302 .

[0144] In one example, the welding defect detection device may further include a communication interface 303 and a bus 304. As shown in the figure, the processor 301, the memory 302, and the communication interface 303 are connected through the bus 304 and communicate with each other.

[0145] The communication interface 303 is mainly used to implement the communication between the modules, devices, units and / or equipment in the embodiment of the present invention.

[0146] Bus 304 includes hardware, software or both. For example, but not limitation, bus 304 may include accelerated graphics port (AGP) or other graphics bus, enhanced industry standard architecture (EISA) bus, front side bus (FSB), hypertransport (HT) interconnection, industry standard architecture (ISA) bus, wireless bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral control interconnect (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. Where appropriate, bus 304 may include one or more buses 304. Although the present application embodiment describes and shows a specific bus 304, the present application considers any suitable bus 304 or interconnection.

[0147] The welding defect detection device can be based on the current welding defect detection method, thereby realizing the combination Figure 1 , 2 The welding defect detection method and the welding defect detection device 200 are described.

[0148] In addition, the embodiment of the present application also provides a computer program product, including computer program instructions, and when the computer program product is executed by the processor 301, the steps and corresponding contents of the aforementioned method embodiment can be implemented.

[0149] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0150] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0151] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.

[0152] Aspects of the present disclosure are described above with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable welding defect detection method, device and equipment to produce a machine so that these instructions executed by the processor of the computer or other programmable welding defect detection method, device and equipment enable the implementation of the functions / actions specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor or a field programmable logic circuit. It can also be understood that each box in the block diagram and / or flowchart and the combination of boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0153] The above is only a specific implementation of the present application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present application is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the protection scope of this application.

Claims

1. A welding defect detection method, characterized in that: The method comprises: Scanning a weld defect workpiece according to preset scanning parameters to obtain a defect scanning diagram, wherein the weld defect workpiece is provided with a plurality of preset welding defects, and each of the preset welding defects has different preset welding defect information; Determine, according to the preset welding defect and the defect image features of the defect scan image, a corresponding relationship between each of the defect image features and the preset welding defect information; Scanning the actual workpiece according to the preset scanning parameters to obtain an actual scanning image; According to the correspondence between the preset welding defect information and the defect image feature, the actual welding defect information corresponding to the actual image feature in the actual scan image is determined.

2. The method according to claim 1, characterized in that Before scanning the weld defect workpiece according to the preset scanning parameters to obtain the defect scanning diagram, the method further includes: Acquire a sample workpiece, wherein the sample workpiece includes a first substrate and a second substrate; Performing defect processing on the first surface of the first substrate to form a sample substrate; The first surface of the sample substrate is welded to the second substrate to form the weld defect workpiece.

3. The method according to claim 2, characterized in that The step of performing defect processing on the first surface of the first substrate to form a sample substrate comprises: Hole processing is performed on the first surface of the first substrate to obtain a sample substrate with a plurality of processed holes, and each of the processed holes has a different diameter.

4. The method according to claim 3, characterized in that The method of scanning the weld defect workpiece according to the preset scanning parameters to obtain a defect scanning diagram includes: The scanning surface is scanned according to the preset scanning parameters to obtain a defect scanning image, wherein the scanning surface is an outer surface of the second substrate away from the first surface in the welding defective workpiece.

5. The method according to claim 2, characterized in that The step of performing defect processing on the first surface of the first substrate to form a sample substrate comprises: Obtain a welding baffle plate, wherein a plurality of connecting holes are provided on the welding baffle plate; Abutting the welding baffle against the first surface of the first substrate; Applying welding resist to the welding resist plate so that the welding resist flows to the first surface of the first substrate through the connecting hole; The welded baffle is separated from the first surface of the first substrate to obtain the sample substrate.

6. The method according to claim 1, characterized in that According to the preset welding defect and the defect image feature of the defect scan image, determining the correspondence between each defect image feature and the preset welding defect information includes: Acquiring actual position information of the preset welding defect and feature position information of the defect image feature; Determining the defect image feature corresponding to each of the preset welding defects according to the pre-feature position information and the actual position information; According to the defect image feature corresponding to the preset welding defect and the preset welding defect information of each welding defect, the preset welding defect information corresponding to each defect image feature is determined.

7. The method according to claim 1, characterized in that Determining actual welding defect information corresponding to the actual image feature in the actual scanned image according to the correspondence between the preset welding defect information and the defect image feature includes: Determining the similarity between the actual image feature and each of the defect image features; Determining the defect image feature corresponding to the maximum value among the plurality of similarities as a similar image feature; The preset welding defect information corresponding to the similar image feature is determined to be the actual welding defect information.

8. The method according to any one of claims 1 to 7, characterized in that The preset scanning parameters include: at least one of a detection frequency, a repetition frequency, a detection focus position, a detection incident angle, and a scanning interval.

9. A welding defect detection device, characterized in that: include: A first scanning module is used to scan a welding defect workpiece according to preset scanning parameters to obtain a defect scanning diagram, wherein the welding defect workpiece is provided with a plurality of preset welding defects, and preset welding defect information of each of the preset welding defects is different; A first determination module, configured to determine a correspondence between each defect image feature and the preset welding defect information according to the preset welding defect and the defect image feature of the defect scan image; A second scanning module, used to scan the actual workpiece according to the preset scanning parameters to obtain an actual scanning image; The second determination module is used to determine the actual welding defect information corresponding to the actual image feature in the actual scan image according to the corresponding relationship between the preset welding defect information and the defect image feature.

10. A welding defect detection device, characterized in that: The device comprises: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, the welding defect detection method as described in any one of claims 1-8 is implemented.

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