Method, device and equipment for detecting welding quality of busbar

Abstract

The embodiment of the present application provides a method, device and equipment for detecting the welding quality of a busbar. The welding area of ​​the busbar is provided with a plurality of openings filled with solder, and the openings penetrate the busbar along the thickness direction of the busbar. The method comprises: obtaining a welding image of the welding area after welding; determining a filling image of each opening based on the welding image, and the filling image of the opening is used to present the amount of solder filled in the opening; and determining the welding quality of the busbar based on the plurality of filling images.

Description

Technical Field

[0001] The present application relates to the field of welding technology, and in particular to a method, device and equipment for detecting the welding quality of a busbar. Background Art

[0002] Photovoltaic modules are generally made of cells connected in series or parallel with welding ribbons, stacked in a certain order with EVA or POE film and glass or backplane, laminated under high temperature and vacuum conditions, and installed with aluminum frames and junction boxes. During the junction box welding process, there will be poor solder joints and empty solder joints, which will affect the performance of the module. Therefore, it is necessary to increase post-weld inspection. In the prior art, the busbar is welded to the junction box, and the inspection of the junction box after welding is carried out by using the height change of the welding head during welding. This method has a high missed detection rate and low detection accuracy, and cannot effectively control the welding defect rate of the busbar, that is, it cannot effectively control the welding defect rate of the junction box.

[0003] Application Contents

[0004] The embodiments of the present application provide a method, device and equipment for detecting the welding quality of a busbar, so as to solve the problem in the related art that the welding defect rate of the busbar cannot be effectively controlled, that is, the welding defect rate of the junction box cannot be effectively controlled.

[0005] In order to solve the above technical problems, this application is implemented as follows:

[0006] In a first aspect, an embodiment of the present application provides a method for detecting welding quality of a busbar, wherein a welding area of ​​the busbar is provided with a plurality of openings filled with solder, and the openings penetrate the busbar along a thickness direction of the busbar, and the method comprises:

[0007] Acquire a welding image of the welding area after welding;

[0008] Determine a filling image of each of the openings based on the welding image, wherein the filling image of the opening is used to present the amount of the welding material filled in the opening;

[0009] The welding quality of the busbar is determined based on the plurality of filling images.

[0010] Optionally, determining a filling image of each of the openings based on the welding image comprises:

[0011] Determining a grayscale value of the welding image;

[0012] Selecting a target grayscale value within a preset grayscale value range from the grayscale values;

[0013] The area of ​​the target grayscale value on the welding image is taken as the area of ​​the opening, and the area of ​​the opening represents the filling image of the opening.

[0014] Optionally, determining the image feature of the opening based on the welding image comprises:

[0015] Inputting the welding image into a feature determination model to obtain image features of the opening output by the feature determination model;

[0016] The feature determination model is obtained by training welding images based on image features of the opening.

[0017] Optionally, before inputting the welding image into the feature determination model, the method further comprises:

[0018] Acquire a plurality of sample data, each of the sample data comprising: a welding sample image and an opening image corresponding to the welding sample image;

[0019] Model training is performed on the multiple sample data to obtain the feature determination model.

[0020] Optionally, determining the welding quality of the junction box based on the plurality of filling images comprises:

[0021] If the number of the filling images satisfying the first preset condition among the plurality of filling images is greater than or equal to the preset number, it is determined that the welding quality of the junction box meets the requirement, wherein the first preset condition is that the filling welding object completely covers the opening.

[0022] Optionally, determining the welding quality of the junction box based on the image feature of the opening includes:

[0023] If each of the filled images satisfies a second preset condition, it is determined that the welding quality of the junction box meets the requirements, wherein the second preset condition is that the ratio of the area of ​​the filled weld in the filled image to the area of ​​the opening is greater than a preset ratio and less than 1.

[0024] Optionally, the control device is also connected to a mobile device; and the method further comprises:

[0025] If the welding quality of the junction box meets the requirements, controlling the mobile device to transport the junction box to the production line;

[0026] If the welding quality of the junction box does not meet the requirements, the mobile device is controlled to move the junction box to a repair area, where the repair area is used to repair the junction box.

[0027] Optionally, the control device is also connected to an alarm device; and the method further comprises:

[0028] If the welding quality of the junction box meets the requirements, controlling the mobile device to transport the junction box to the production line;

[0029] If the welding quality of the junction box does not meet the requirements, the alarm device is controlled to sound an alarm.

[0030] In a second aspect, an embodiment of the present application provides a welding quality detection device for a busbar, which is applied to a control device; a welding area of ​​the busbar is provided with a plurality of openings filled with solder, and the openings penetrate the busbar along the thickness direction of the busbar, and the device comprises:

[0031] A first acquisition module, used for acquiring a welding image of the welding area after welding;

[0032] A first determination module, configured to determine a filling image of each of the openings based on the welding image, wherein the filling image of the opening is used to present the amount of the welding material filled in the opening;

[0033] The second determination module is used to determine the welding quality of the junction box based on the multiple filling images.

[0034] Optionally, the first determining module includes:

[0035] A first determination submodule, used to determine the grayscale value of the welding image;

[0036] A selection module, used for selecting a target grayscale value within a preset grayscale value range from the grayscale values;

[0037] The second determination submodule is used to use the area of ​​the target grayscale value on the welding image as the area of ​​the opening, and the area of ​​the opening represents the filling image of the opening.

[0038] Optionally, the first determining module includes:

[0039] An input module, used for inputting the welding image into a feature determination model to obtain the image features of the opening output by the feature determination model;

[0040] The feature determination model is obtained by training welding images based on image features of the opening.

[0041] Optionally, the device further comprises:

[0042] A second acquisition module is used to acquire a plurality of sample data, each of which includes: a welding sample image and an opening image corresponding to the welding sample image;

[0043] The training module is used to perform model training on the multiple sample data to obtain the feature determination model.

[0044] Optionally, the second determining module includes:

[0045] The third determination submodule is used to determine that the welding quality of the busbar meets the requirements if the number of filling images that meet the first preset condition among the multiple filling images is greater than or equal to the preset number, wherein the first preset condition is that the filling welding object completely covers the opening.

[0046] Optionally, the second determining submodule includes:

[0047] The fourth determination submodule is used to determine that the welding quality of the busbar meets the requirements if each of the filling images meets the second preset condition, wherein the second preset condition is that the ratio of the area of ​​the filling weld in the filling image to the area of ​​the opening is greater than a preset ratio and less than 1.

[0048] Optionally, the control device is also connected to a mobile device; and the apparatus further comprises:

[0049] A first control module, configured to control the mobile device to transport the junction box welded with the busbar to a production line if the welding quality of the busbar meets the requirements;

[0050] The second control module is used to control the mobile device to move the junction box welded with the busbar to a rework area if the welding quality of the busbar does not meet the requirements, and the rework area is used to rework the junction box.

[0051] Optionally, the control device is also connected to an alarm device; and the apparatus further comprises:

[0052] A third control module is used to control the mobile device to transport the junction box welded with the busbar to a production line if the welding quality of the busbar meets the requirements;

[0053] The fourth control module is used to control the alarm device to sound an alarm if the welding quality of the busbar does not meet the requirements.

[0054] In a third aspect, an embodiment of the present application provides a device, comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in any one of the first aspects.

[0055] In a fourth aspect, an embodiment of the present invention provides a storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0056] In a fifth aspect, an embodiment of the present invention provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect.

[0057] In the embodiment of the present application, a welding image of the busbar and the junction box is obtained, and a filling image of each opening is determined based on the welding image, and the filling image of the opening is used to present the amount of welding material filled in the opening; the welding quality of the junction box is determined based on the multiple filling images. That is, in the embodiment of the present application, whether the welding quality of the junction box meets the requirements is determined by the welding image, thereby avoiding the use of the height change of the welding head for detection in the related art, thereby improving the detection efficiency and accuracy of the junction box welding quality, and further effectively controlling the welding quality of the junction box. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 A flow chart showing a method for detecting welding quality of a busbar provided in an embodiment of the present application;

[0059] Figure 2 One of the schematic diagrams showing a current busbar provided in an embodiment of the present application;

[0060] Figure 3 A second schematic diagram showing a current collector provided in an embodiment of the present application;

[0061] Figure 4 A third schematic diagram showing a current collector provided in an embodiment of the present application;

[0062] Figure 5 A schematic diagram showing a welding quality detection device for a busbar provided in an embodiment of the present application;

[0063] Figure 6 A schematic diagram showing a device provided in an embodiment of the present application;

[0064] Figure 7 A schematic diagram showing the hardware structure of a device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0066] It should be understood that the references to "one embodiment" or "an embodiment" throughout the specification mean that the specific features, structures, or characteristics associated with the embodiment are included in at least one embodiment of the present application. Therefore, the references to "in one embodiment" or "in an embodiment" appearing throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0067] Reference Figure 1 , which shows a flow chart of a welding quality detection method of a busbar provided in an embodiment of the present application; Figures 2 to 4 As shown, the welding area of ​​the busbar is provided with a plurality of openings filled with solder, and the openings penetrate the busbar along the thickness direction of the busbar. Figure 1 As shown, the welding quality detection method of the busbar is applied to the control device, and the detection method includes:

[0068] Step 101: Acquire a welding image of the welding area after welding.

[0069] The control device may be electrically connected to the shooting device, and the shooting device may be a camera, etc. When the busbar is welded to the junction box, the shooting device may be enabled to shoot in real time, and the shooting device may shoot a welding image of the welding area of ​​the busbar and the junction box, and then the shooting device may send the welding image of the welding area to the control device, and the control device may obtain the welding image of the busbar and the junction box.

[0070] In addition, solder is usually used to weld the busbar to the junction box, and during the welding process, the solder will first melt, that is, the solder will become molten, and then the solder will flow. The busbar is provided with multiple openings, and the solder will fill in the openings during the flow process, thereby blocking the openings.

[0071] In addition, if Figure 2 , Figure 3 and Figure 4 As shown, the shapes of the openings provided on the current collector can be different, that is, the openings can be circular or rectangular. Of course, the openings can also be other shapes, for example, the openings are triangular. The shapes of the openings are not limited in the embodiments of the present application.

[0072] In addition, the number of openings can also be set according to actual needs. For example, the number of openings can be 3, 6, or 4. The number of openings is not limited in the embodiments of the present application.

[0073] Step 102: Determine a filling image of each opening based on the welding image, where the filling image of the opening is used to present the amount of the weld filling in the opening.

[0074] After acquiring the welding image, since the welding material, such as solder, will flow during the welding process and may fill the opening, the filling image of each opening can be determined in the welding image, and the filling image can show the amount of welding material filled in the opening.

[0075] In addition, in some implementations, step 102 may be implemented by: determining the grayscale value of the welding image; selecting a target grayscale value within a preset grayscale value range from the grayscale values; and using the area of ​​the target grayscale value on the welding image as the opening area, and the opening area represents the filling image of the opening.

[0076] Since all images have grayscale values, after the welding image is acquired, the grayscale value of the welding image can be determined.

[0077] In addition, since the material of the weld is different from that of the busbar, the grayscale value of the weld image is different from that of the busbar on the weld image, so that after obtaining the grayscale value of the weld image, a target grayscale value within the preset grayscale value range can be selected from the grayscale value of the weld according to the preset grayscale value range. The preset grayscale value range can be set according to actual needs, and this is not limited in the embodiments of the present application.

[0078] For example, the preset grayscale value range is 3500-5000, so after the grayscale value of the welding image is determined, a target grayscale value within the range of 3500-5000 can be selected from the grayscale values ​​of the welding image.

[0079] Since different grayscale values ​​in the image correspond to different areas on the image, after obtaining the target grayscale value, the area of ​​the target grayscale value on the welding image can be used as the opening area, and the opening area can represent the filling image of the opening.

[0080] In addition, in some implementations, step 102 may be implemented by inputting the welding image into a feature determination model to obtain image features of the opening output by the feature determination model; wherein the feature determination model is trained based on the welding image determined based on the image features of the opening.

[0081] After the welding image is acquired, the welding image can be input into the feature determination model, and the image features of the opening can be determined by the feature determination module, and then the feature determination model can output the image features of the opening, so that the image features of the opening can be determined, and the image features of the opening can be used as the filling image of the opening. In addition, the feature determination model can be obtained by determining the welding image training based on the image features of the opening, that is, the model training can be performed on the welding image with the image features of the opening to obtain the feature determination model.

[0082] In addition, in some implementations, before inputting the welding image into the feature determination model, the welding quality detection method may also include: acquiring multiple sample data, each sample data including: a welding sample image and an opening image corresponding to the welding sample image; performing model training on the multiple sample data to obtain a feature determination model.

[0083] Among them, in order to make the image features of the opening determined by the feature determination model more accurate, the feature determination model can be pre-trained, so that the feature training model can be obtained. Therefore, before the welding image is input into the feature determination model, the feature determination model can be trained first. Specifically, a plurality of sample data can be obtained, each sample data includes a welding sample image and an opening image corresponding to the welding sample image, that is, the welding sample image has an opening image. Then, the model training is performed on the plurality of sample data, that is, the model training is performed on the plurality of welding sample images, so that the trained model can recognize the opening image in the welding sample image, and then the feature determination model can be obtained. After the feature determination model is obtained, after the welding image taken by the shooting device in the process of welding the junction box is input into the feature determination model, the feature determination model can recognize the image features of the opening in the welding image, so that the image features of the opening can be determined, that is, the filling image of the opening is determined in the welding image.

[0084] Step 103: Determine the welding quality of the junction box based on the multiple filling images.

[0085] After the filling images of multiple openings are determined in the welding image, that is, after the multiple filling images are determined, the welding quality of the busbar can be determined based on the filling images, thereby avoiding the use of height changes of the welding head to detect the welding quality of the busbar in the related technology, thereby improving the detection of the welding quality of the busbar, and further improving the detection efficiency and accuracy of the welding quality of the junction box, and can effectively control the welding quality of the busbar, and can control the welding quality of the junction box.

[0086] In addition, in some implementations, step 103 may be implemented as follows: if the number of filling images satisfying the first preset condition among the plurality of filling images is greater than or equal to a preset number, it is determined that the welding quality of the busbar meets the requirement.

[0087] Among them, the first preset condition may be that the filling weld completely covers the opening. Since the opening, weld and busbar have different grayscale values ​​on the welding image, after the filling image is determined, it is possible to determine whether the filling weld completely covers the opening based on the ratio between the grayscale area of ​​the filling weld on the welding image and the opening area.

[0088] For example, in a welding image, the gray value of the filler weld forms an area on the welding image. If the area is a complete connected area, it indicates that the opening is completely blocked by the filler.

[0089] In addition, when the number of filling images that meet the first preset condition in the filling image is greater than or equal to the preset number, it indicates that during the welding process of the busbar, the number of welded objects, such as solder, filled in the multiple openings on the busbar is greater than the preset number. Therefore, it can be determined that the welding quality of the busbar meets the requirements.

[0090] For example, three openings are provided on the busbar. During the welding process, it can be preset that two of the three openings are completely covered by solder, which indicates that the welding quality of the busbar meets the requirements.

[0091] In addition, in some implementations, step 103 may be implemented as follows: if each filling image satisfies the second preset condition, it is determined that the welding quality of the busbar meets the requirement.

[0092] The second preset condition is that the ratio of the area of ​​the filled weld to the area of ​​the opening in the filled image is greater than a preset ratio and less than 1. Since the opening, weld and busbar have different grayscale values ​​on the welding image, once the filled image is determined, the ratio between the grayscale area of ​​the filled weld and the opening area on the welding image can be used.

[0093] In addition, in the welding image, the grayscale values ​​of the opening and the filling weld form an area on the welding image, wherein the grayscale value of the filling weld is also different from the grayscale value of the opening. Therefore, the ratio of the area of ​​the grayscale value of the filling weld on the welding image to the area of ​​the grayscale value of the opening on the welding image can be determined.

[0094] For example, in a welding image, the grayscale value of the weld area in the welding image is 5 square centimeters, and the grayscale value of the opening area in the welding image is 7 square centimeters. Then the ratio of the area of ​​the filler to the area of ​​the opening in the filling image is 5 / 7.

[0095] In addition, when the second preset condition is met in the filling image, it indicates that during the welding process of the junction box, each opening on the busbar has at least a weld, or among the multiple openings, the solder is about to completely cover the opening. Therefore, it can be determined that the welding quality of the busbar meets the requirements.

[0096] For example, if there are five openings on the busbar, and during the welding process, there is solder in all five openings, and the ratio of the total area of ​​the solder to the total area of ​​the openings is greater than a preset ratio, or there is solder in four of the five openings, but the ratio of the total area of ​​the solder in the four openings to the total area of ​​the five openings is greater than a preset ratio, it can be determined that the welding quality of the junction box meets the requirements. The preset ratio can be one-third, three-fifths, or four-fifths, and the specific value of the preset ratio is not limited in the embodiments of the present application.

[0097] In addition, in some implementations, the control device can also be connected to a mobile device; the welding quality detection method can also include: if the welding quality of the busbar meets the requirements, then controlling the mobile device to transport the junction box welded with the busbar to the production line; if the welding quality of the busbar does not meet the requirements, then controlling the mobile device to move the junction box welded with the busbar to a rework area, and the rework area is used to rework the junction box.

[0098] When the welding quality of the busbar meets the requirements, the mobile device can be controlled to transport the junction box welded with the busbar to the production line, and the junction box is processed further through the production line. When the welding quality of the busbar does not meet the requirements, it indicates that the junction box has not yet reached the set standard. Therefore, the junction box can be moved to the repair area by the mobile device. After the junction box is moved to the repair area, the junction box with unsatisfactory welding quality can be repaired.

[0099] In addition, when the control device is connected to the mobile device, the mobile device is controlled to transport the junction boxes that meet the welding quality requirements to the production line, which can ensure that all junction boxes entering the next stage of production are junction boxes that meet the welding quality standards, which is beneficial to improving the quality of products produced according to the welding boxes.

[0100] In addition, in some implementations, the control device is also connected to the alarm device; the welding quality detection method may also include: if the welding quality of the busbar meets the requirements, controlling the mobile device to transport the junction box welded with the busbar to the production line; if the welding quality of the busbar does not meet the requirements, controlling the alarm device to sound an alarm.

[0101] When the welding quality of the busbar meets the requirements, the mobile device can be controlled to transport the junction box to the production line, and the junction box can be processed further through the production line. When the welding quality of the busbar does not meet the requirements, it indicates that the junction box has not yet reached the set standard. Therefore, the alarm device can be controlled to alarm, thereby reminding the user to pay attention to the junction box whose welding quality does not meet the requirements. It is convenient for users to determine which junction boxes among multiple junction boxes have welding quality that does not meet the requirements, and it is also convenient for users to determine the junction boxes whose welding quality does not meet the requirements, so that users can process the junction boxes whose welding quality does not meet the requirements according to actual needs.

[0102] In the embodiment of the present application, a welding image of the welding area of ​​the busbar after welding is obtained, and a filling image of each opening is determined based on the welding image, and the filling image of the opening is used to present the amount of welding material filled in the opening; the welding quality of the junction box is determined based on multiple filling images. That is, in the embodiment of the present application, whether the welding quality of the busbar meets the requirements is determined by the welding image of the welding area of ​​the busbar, thereby determining whether the welding quality of the junction box meets the requirements, which can avoid the use of the height change of the welding head for detection in the related art, thereby improving the detection efficiency and accuracy of the welding quality of the busbar, and then effectively controlling the welding quality of the junction box.

[0103] Figure 5 This means that the embodiment of the present application provides a welding quality detection device for a busbar. Figure 5 As shown, the device 500 includes:

[0104] A first acquisition module 501 is used to acquire a welding image of the welding area after welding;

[0105] A first determination module 502 is used to determine a filling image of each opening based on the welding image, wherein the filling image of the opening is used to present the amount of the welding material filled in the opening;

[0106] The second determination module 503 is used to determine the welding quality of the junction box based on the multiple filling images.

[0107] Optionally, the first determining module 502 includes:

[0108] A first determination submodule is used to determine the gray value of the welding image;

[0109] A selection module is used to select a target grayscale value within a preset grayscale value range from the grayscale values;

[0110] The second determination submodule is used to use the area of ​​the target gray value on the welding image as the area of ​​the opening, and the area of ​​the opening represents the filling image of the opening.

[0111] Optionally, the first determining module 502 includes:

[0112] An input module, used for inputting the welding image into the feature determination model to obtain the image features of the opening output by the feature determination model;

[0113] The feature determination model is trained based on welding images determined based on image features of the opening.

[0114] Optionally, the device further comprises:

[0115] A second acquisition module is used to acquire a plurality of sample data, each sample data includes: a welding sample image and an opening image corresponding to the welding sample image;

[0116] The training module is used to perform model training on multiple sample data to obtain a feature determination model.

[0117] Optionally, the second determining module 503 includes:

[0118] The third determination submodule is used to determine that the welding quality of the busbar meets the requirements if the number of filling images that meet the first preset condition among the multiple filling images is greater than or equal to the preset number, wherein the first preset condition is that the filling welding object completely blocks the opening.

[0119] Optionally, the second determining submodule 503 includes:

[0120] The fourth determination submodule is used to determine that the welding quality of the busbar meets the requirements if each filling image meets the second preset condition, wherein the second preset condition is that the ratio of the area of ​​the filling weld to the area of ​​the opening in the filling image is greater than the preset ratio and less than 1.

[0121] Optionally, the control device is also connected to a mobile device; and the apparatus further comprises:

[0122] A first control module, configured to control the mobile device to transport the junction box welded with the busbar to a production line if the welding quality of the busbar meets the requirements;

[0123] The second control module is used to control the mobile device to move the junction box welded with the busbar to a rework area if the welding quality of the busbar does not meet the requirements, and the rework area is used to rework the junction box.

[0124] Optionally, the control device is also connected to an alarm device; the device further comprises:

[0125] A third control module is used to control the mobile device to transport the junction box welded with the busbar to a production line if the welding quality of the busbar meets the requirements;

[0126] The fourth control module is used to control the alarm device to sound an alarm if the welding quality of the busbar does not meet the requirements.

[0127] In the embodiment of the present application, a welding image of the welding area of ​​the busbar after welding is obtained, and a filling image of each opening is determined based on the welding image, and the filling image of the opening is used to present the amount of welding material filled in the opening; the welding quality of the junction box is determined based on multiple filling images. That is, in the embodiment of the present application, whether the welding quality of the busbar meets the requirements is determined by the welding image of the welding area of ​​the busbar, thereby determining whether the welding quality of the junction box meets the requirements, which can avoid the use of the height change of the welding head for detection in the related art, thereby improving the detection efficiency and accuracy of the welding quality of the busbar, and then effectively controlling the welding quality of the junction box.

[0128] The welding quality detection device of the busbar in the embodiment of the present invention can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile device or a non-mobile device. Exemplarily, the mobile device can be a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted device, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), etc., and the non-mobile device can be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present invention.

[0129] The welding quality detection device of the busbar in the embodiment of the present invention may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present invention.

[0130] The welding quality detection device of the busbar provided by the embodiment of the present invention can realize Figure 1 To avoid repetition, the various processes implemented by the method embodiment are not described here.

[0131] Optional, such as Figure 6 As shown, an embodiment of the present invention further provides a device, the device 600, including a processor 601, a memory 602, a program or instruction stored in the memory 602 and executable on the processor 601, the program or instruction, when executed by the processor 601, implements each process of the above-mentioned embodiment of the welding quality detection method for the busbar, and can achieve the same technical effect, to avoid repetition, it will not be repeated here.

[0132] It should be noted that the devices in the embodiments of the present invention include the mobile devices and non-mobile devices mentioned above.

[0133] Figure 7 The hardware structure diagram of a device for implementing an embodiment of the present invention is shown in FIG. The device 700 includes, but is not limited to, a radio frequency unit 701, a network module 702, an audio output unit 703, an input unit 704, a sensor 705, a display unit 706, a user input unit 707, an interface unit 708, a memory 709, and a processor 710.

[0134] Those skilled in the art will appreciate that the device 700 may also include a power source (such as a battery) for supplying power to each component, and the power source may be logically connected to the processor 710 through a power management system, thereby implementing functions such as managing charging, discharging, and power consumption management through the power management system. Figure 7 The device structure shown in the figure does not constitute a limitation of the device. The device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be described in detail here.

[0135] The processor 710 is used to obtain a welding image of the welding area after welding;

[0136] Determine a filling image of each opening based on the welding image, wherein the filling image of the opening is used to present the amount of the welding material filled in the opening;

[0137] A weld quality of the busbar is determined based on the plurality of filling images.

[0138] In the embodiment of the present application, a welding image of the welding area of ​​the busbar after welding is obtained, and a filling image of each opening is determined based on the welding image, and the filling image of the opening is used to present the amount of welding material filled in the opening; the welding quality of the junction box is determined based on multiple filling images. That is, in the embodiment of the present application, whether the welding quality of the busbar meets the requirements is determined by the welding image of the welding area of ​​the busbar, thereby determining whether the welding quality of the junction box meets the requirements, which can avoid the use of the height change of the welding head for detection in the related art, thereby improving the detection efficiency and accuracy of the welding quality of the busbar, and then effectively controlling the welding quality of the junction box.

[0139] Optionally, the processor 710 is further configured to determine a grayscale value of the welding image;

[0140] Selecting a target grayscale value within a preset grayscale value range from the grayscale values;

[0141] The area of ​​the target gray value on the welding image is taken as the area of ​​the opening, and the area of ​​the opening represents the filling image of the opening.

[0142] Optionally, the processor 710 is further configured to:

[0143] Inputting the welding image into the feature determination model to obtain the image features of the opening output by the feature determination model;

[0144] The feature determination model is trained based on welding images determined based on image features of the opening.

[0145] Optionally, the processor 710 is further configured to:

[0146] Acquire a plurality of sample data, each sample data comprising: a welding sample image and an opening image corresponding to the welding sample image;

[0147] The model is trained on multiple sample data to obtain a feature determination model.

[0148] Optionally, the processor 710 is further configured to:

[0149] If the number of the filling images that meet the first preset condition among the multiple filling images is greater than or equal to the preset number, it is determined that the welding quality of the busbar meets the requirements, wherein the first preset condition is that the filling welding object completely covers the opening.

[0150] Optionally, the processor 710 is further configured to:

[0151] If each filling image satisfies a second preset condition, it is determined that the welding quality of the busbar meets the requirement, wherein the second preset condition is that the ratio of the area of ​​the filling weld to the area of ​​the opening in the filling image is greater than a preset ratio and less than 1.

[0152] Optionally, the control device is further connected to a mobile device; and the processor 710 is further configured to:

[0153] If the welding quality of the busbar meets the requirements, the mobile device is controlled to transport the junction box welded with the busbar to the production line;

[0154] If the welding quality of the busbar does not meet the requirements, the mobile device is controlled to move the junction box welded with the busbar to a rework area, where the rework area is used to rework the junction box.

[0155] Optionally, the control device is also connected to an alarm device; the processor 710 is also used for:

[0156] If the welding quality of the busbar meets the requirements, the mobile device is controlled to transport the junction box welded with the busbar to the production line;

[0157] If the welding quality of the busbar does not meet the requirements, the control alarm device will sound an alarm.

[0158] In the embodiment of the present application, a welding image of the welding area of ​​the busbar after welding is obtained, and a filling image of each opening is determined based on the welding image, and the filling image of the opening is used to present the amount of welding material filled in the opening; the welding quality of the junction box is determined based on multiple filling images. That is, in the embodiment of the present application, whether the welding quality of the busbar meets the requirements is determined by the welding image of the welding area of ​​the busbar, thereby determining whether the welding quality of the junction box meets the requirements, which can avoid the use of the height change of the welding head for detection in the related art, thereby improving the detection efficiency and accuracy of the welding quality of the busbar, and then effectively controlling the welding quality of the junction box.

[0159] It should be understood that, in an embodiment of the present invention, the input unit 704 may include a graphics processor (Graphics Processing Unit, GPU) 7041 and a microphone 7042, and the graphics processor 7041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 706 may include a display panel 7061, and the display panel 7061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 707 includes a touch panel 7071 and other input devices 7072. The touch panel 7071 is also called a touch screen. The touch panel 7071 may include two parts: a touch detection device and a touch controller. Other input devices 7072 may include, but are not limited to, a physical keyboard, a function key (such as a volume control button, a switch button, etc.), a trackball, a mouse, and a joystick, which will not be repeated here. The memory 709 may be used to store software programs and various data, including but not limited to applications and operating systems. The processor 710 may integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the modem processor may not be integrated into the processor 710 .

[0160] An embodiment of the present invention also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned embodiment of the welding quality detection method for the busbar are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0161] The processor is a processor in the device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0162] An embodiment of the present invention further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned embodiment of the welding quality detection method for the busbar, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0163] It should be understood that the chip mentioned in the embodiment of the present invention may also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0164] It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0165] Although the optional embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including optional embodiments and all changes and modifications that fall within the scope of the present application.

[0166] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity from another entity, and do not necessarily require or imply any such actual relationship or order between these entities. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that an article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such article or terminal device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the article or terminal device including the elements.

[0167] The technical solution provided by the present application is introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. At the same time, for those skilled in the art, according to the principles and implementation methods of the present application, there may be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present application.

Claims

1. A method for detecting welding quality of a busbar, characterized in that: The welding area of ​​the busbar is provided with a plurality of openings filled with solder, and the openings penetrate the busbar along the thickness direction of the busbar, and the method comprises: Acquire a welding image of the welding area after welding; Determine a filling image of each of the openings based on the welding image, wherein the filling image of the opening is used to present the amount of the welding material filled in the opening; determining a welding quality of the busbar based on a plurality of the filling images; Determining the filling image of each opening based on the welding image includes: determining the gray value of the welding image; selecting a target gray value within a preset gray value range from the gray values; using the area of ​​the target gray value on the welding image as the area of ​​the opening, and the area of ​​the opening represents the filling image of the opening; The determining the image feature of the opening based on the welding image comprises: Acquire a plurality of sample data, each of the sample data comprising: a welding sample image and an opening image corresponding to the welding sample image; Performing model training on the multiple sample data to obtain a feature determination model; Inputting the welding image into a feature determination model to obtain image features of the opening output by the feature determination model; Wherein, the feature determination model is obtained by training a welding image based on image feature determination of the opening; The step of determining the welding quality of the busbar based on the plurality of filling images comprises: If the number of the filling images that meet the first preset condition among the plurality of filling images is greater than or equal to the preset number, it is determined that the welding quality of the busbar meets the requirement, wherein the first preset condition is that the filling welding object completely covers the opening; The step of determining the welding quality of the busbar based on the image features of the opening comprises: If each of the filling images satisfies a second preset condition, it is determined that the welding quality of the busbar meets the requirement, wherein the second preset condition is that the ratio of the area of ​​the filling weld in the filling image to the area of ​​the opening is greater than a preset ratio and less than 1; The control device is also connected to the mobile device; the method further includes: If the welding quality of the busbar meets the requirements, controlling the mobile device to transport the junction box welded with the busbar to the production line; If the welding quality of the busbar does not meet the requirement, the mobile device is controlled to move the junction box welded with the busbar to a rework area, where the rework area is used to rework the junction box.

2. The welding quality inspection method of a busbar according to claim 1, characterized in that: The control device is also connected to an alarm device; the method further comprises: If the welding quality of the busbar meets the requirements, controlling the mobile device to transport the junction box welded with the busbar to the production line; If the welding quality of the busbar does not meet the requirements, the alarm device is controlled to sound an alarm.

3. A device for implementing the welding quality detection method of a busbar according to any one of claims 1 to 2, characterized in that: Applicable to a control device; the welding area of ​​the busbar is provided with a plurality of openings filled with solder, the openings penetrate the busbar along the thickness direction of the busbar, and the device comprises: An acquisition module, used for acquiring a welding image of the welding area after welding; A first determination module, configured to determine a filling image of each of the openings based on the welding image, wherein the filling image of the opening is used to present the amount of the welding material filled in the opening; A second determination module, configured to determine the welding quality of the busbar based on a plurality of the filling images; Wherein, determining the filling image of each opening based on the welding image includes: determining the grayscale value of the welding image; selecting a target grayscale value within a preset grayscale value range from the grayscale values; and taking the area of ​​the target grayscale value on the welding image as the area of ​​the opening, and the area of ​​the opening represents the filling image of the opening.

4. A welding quality inspection device for a busbar, characterized in that: It comprises a processor, a memory and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the welding quality detection method of the busbar as claimed in any one of claims 1 to 2.

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