Welding device for metal shell machining

Abstract

The invention discloses a welding device for metal shell machining, and relates to the technical field of metal shell welding. Through the use of the detection assembly, the position, needing to be welded, of the metal shell can be conveniently and automatically detected, so that the metal shell can be conveniently and rapidly welded, and the welding working efficiency is improved; the longitudinal position of the plasma arc welding machine is convenient to adjust through the first adjusting part, the transverse position of the plasma arc welding machine is convenient to adjust through the second adjusting part, and the metal shells at different positions are convenient to weld through the first adjusting part and the second adjusting part. The analysis unit analyzes the angular points and the feature images to judge whether the placement position of the metal shell is consistent with that of a standard part or not, it is guaranteed that the welding position of the metal shell is located at the optimal position during welding every time, and welding defects caused by position deviation are greatly reduced; by means of the analysis mechanism, the welding device can adapt to metal shells of different models and specifications.

Description

Technical Field

[0001] The invention relates to the technical field of metal shell welding, and in particular to a welding device used for metal shell processing. Background Art

[0002] In the field of metal shell processing, welding is a crucial process link. Its welding quality and efficiency are directly related to the quality of metal shell and the economic benefits of the production enterprise. With the rapid development of the manufacturing industry, metal shells are increasingly used in many industries such as electronics, machinery, and automobiles, which puts forward more stringent requirements on welding technology. Under such a background, many disadvantages of traditional welding devices are gradually exposed, becoming a key factor restricting production development. During the welding process of metal shells, ensuring the accuracy of the welding position is the basis for ensuring the welding quality; however, traditional welding equipment usually lacks effective and precise positioning means; in many cases, workers can only manually adjust the position of the welding equipment based on experience. This method is not only inefficient, but also has large positioning errors, which affects the welding quality of the metal shell. Summary of the invention

[0003] In order to solve the problems in the background technology, the present invention proposes a welding device for metal shell processing.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions: A welding device for metal shell processing, comprising a workbench, a bracket is provided at the rear end of the top surface of the workbench, an electric push rod is provided below the bracket, a mounting plate is provided at the movable end of the electric push rod, and a plasma arc welding machine is installed on the bottom surface of the mounting plate; An adjusting member 1 for longitudinal adjustment of the electric push rod is provided on the inner top surface of the bracket, and an adjusting member 2 for lateral adjustment of the electric push rod is provided on the adjusting member 1; The bracket is also provided with a detection component, which includes an intelligent control module arranged inside the control device, and the intelligent control module includes a collection unit, an analysis unit and an execution unit; The acquisition unit acquires image data of the metal shell on the workbench and transmits the acquired image data to the analysis unit; The analysis unit analyzes the image data transmitted from the acquisition unit, determines the area of ​​the metal shell image, and then analyzes the corner points and feature images corresponding to the metal shell image area to determine whether the directions of the metal shell and the standard part are consistent. If the two are consistent, a welding signal is generated and the welding signal is transmitted to the execution unit; if one of the two is inconsistent, an adjustment signal is generated and the adjustment signal is transmitted to the execution unit; if both are inconsistent, a warning signal is generated and the warning signal is transmitted to the execution unit; The execution unit receives the signal transmitted by the analysis unit and performs corresponding operations.

[0005] Preferably, the adjustment member 1 includes a slideway 2 symmetrically arranged on the inner top surface of the bracket, a slider 2 slidably arranged on the slideway 2, and a support plate 2 arranged on the inner top surface of the bracket, a screw rod 2 is rotatably provided on the support plate 2, one end of the screw rod 2 movably passes through the slider 2 and extends to the rear end of the bracket, and the screw rod 2 and the slider 2 are threadedly arranged, and a driving motor is provided at the rear end of the screw rod 2.

[0006] Preferably, the second adjusting member includes a slideway symmetrically arranged on the bottom surface of the second slider, a support plate 1 arranged at both ends of the slideway 1 and a slider 1 slidably arranged on the slideway 1, a screw rod 1 is rotatably arranged between the support plate 1, and the screw rod 1 is threadedly connected to the slider 1, a micro motor is provided at one end of the screw rod 1, and the electric push rod is installed on the bottom surface of the slider 1.

[0007] Preferably, the detection component comprises a camera mounted on a bracket, and a control device cooperating with the camera is provided on the top surface of the bracket.

[0008] Preferably, the control device includes an image processor and a controller, and the image processor is electrically connected to the camera, and the controller is electrically connected to the micro motor, the drive motor and the electric push rod.

[0009] Preferably, the analysis unit performs the following steps to determine the metal shell image area: S1: grayscale processing is performed on the image data detected by the camera, and the processed grayscale image is segmented according to the size of the pixel block, and the segmented grayscale image blocks are numbered according to the number of rows and columns after segmentation; S2: placing the standard parts on the workbench in the same manner and at the same angle, performing grayscale processing and segmentation on the image data of the standard parts collected by the camera, and then randomly selecting a segmented grayscale image block of the standard parts, obtaining the grayscale value data of the grayscale image block multiple times, and performing an operation of removing extreme values ​​and calculating the average on the obtained grayscale value data, and recording the obtained grayscale average data as the grayscale data of the grayscale image block; S3: comparing the grayscale data of the grayscale image block with preset grayscale data; if the grayscale data of the grayscale image block is greater than the preset grayscale data, determining that the area corresponding to the grayscale image block is the environment area; and comparing the row number and column number of the grayscale image block with half of the total number of rows and columns of the image; S4: if the row number of the grayscale image block is greater than half of the total number of rows, the row number count is reduced by one, otherwise, the row number count is increased by one; if the column number of the grayscale image block is greater than half of the total number of rows, the column number count is reduced by one, otherwise, the column number count is increased by one; the row number and column number count obtained after comparison are recorded, and the grayscale data of the grayscale image block corresponding to the recorded number is compared with the preset grayscale data again, until a grayscale image block whose grayscale data is equal to the preset grayscale data is found; S5: If the grayscale data of the grayscale image block is less than the preset grayscale data, the area corresponding to the grayscale image block is determined to be the shell area, and the row number and column number of the grayscale image block are compared with half of the total number of rows and columns of the image; if the row number of the grayscale image block is greater than half of the total number of rows, the row number count is increased by one, otherwise, the row number count is decreased by one; if the column number of the grayscale image block is greater than half of the total number of rows, the column number count is increased by one, otherwise, the column number count is decreased by one; the row number and column number counts obtained after the comparison are recorded, and the grayscale data of the grayscale image block corresponding to the recorded number is compared with the preset grayscale data again, until a grayscale image block whose grayscale data is equal to the preset grayscale data is found; S6: Mark the grayscale image blocks whose grayscale data are equal to the preset grayscale data as boundary image blocks, obtain the numbering data of each boundary image block, and connect the two boundary image blocks if the adjacent row number or adjacent column number of the boundary image block is also a boundary image block; after the connection of the boundary image blocks forms a closed loop, record the connection as an image edge line; divide the grayscale image processed by the detection image data into regions according to the image edge lines, and divide the inner side of the image edge line into a metal shell.

[0010] Preferably, the analysis unit performs the following steps for analyzing corner points and feature images: K1: Count the row and column numbers of the grayscale image blocks corresponding to the image edge line, randomly select a grayscale image block corresponding to the image edge line and take the image block within a set distance in the vertical direction as the initial image block, with the initial count of zero. After rotating the image block clockwise by a set angle, mark and count the corresponding image block, and add one to the initial count. K2: Complete After the angle rotation, the grayscale values ​​of all image blocks in the angle rotation process are counted, and the initial count value of the grayscale image block whose grayscale value is equal to the preset grayscale data is obtained. The difference between the initial count values ​​of the two grayscale image blocks obtained is calculated. If the calculated difference is greater than the preset difference threshold, the grayscale image block is determined to be a corner point image block; K3: Compare the grayscale values ​​of each grayscale image block in the metal shell area with the preset grayscale data, mark the grayscale image blocks that are not equal to the preset grayscale data as feature image blocks, and if the adjacent position of the feature image block is also a feature image block, then determine that the two feature image blocks are clustered, count the number of clustered feature image blocks, mark the clustered feature image blocks whose statistical number is greater than the preset number threshold as feature points, and record the number of clustered feature image blocks corresponding to the feature points; K4: Compare the grayscale image after grayscale processing of the detection image data with the grayscale image of the standard part. If the numbers of the corresponding corner image blocks are consistent and the number of clustered feature image blocks of the corresponding feature points is consistent, it is determined that the directions of the metal shell and the standard part are consistent, and a welding signal is generated according to the welding position corresponding to the standard part, and the welding signal is transmitted to the execution unit; K5: If there is an inconsistency between the number of the corresponding corner point image block and the number of the clustered feature image blocks of the corresponding feature points, the number of the clustered feature image blocks of the corresponding feature points of the detection image is compared with the number of the clustered feature image blocks of the corresponding feature points of the standard part. If the number of the clustered feature image blocks of the corresponding feature points of the detection image is greater than the number of the clustered feature image blocks of the corresponding feature points of the standard part, a left turn adjustment signal is generated and transmitted to the execution unit; otherwise, a right turn adjustment signal is generated and transmitted to the execution unit; K6: If the number of the corresponding corner point image block is inconsistent with the number of the clustered feature image blocks of the corresponding feature point, a warning signal is generated and transmitted to the execution unit.

[0011] Preferably, the execution unit performs the following steps: M1: After receiving the welding signal, the controller controls the micro motor, drive motor and electric push rod to perform the welding operation; M2: After receiving the left-turn adjustment signal, the turntable on the workbench is controlled to rotate clockwise at the set rotation angle; after receiving the right-turn adjustment signal, the turntable on the workbench is controlled to rotate counterclockwise at the set rotation angle; M3: After receiving the warning signal, a signal is sent through the warning unit inside the intelligent control module to control the buzzer inside the control device to sound a buzzer warning, reminding the staff to adjust the placement of the metal casing.

[0012] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. By using the detection component, it is convenient to automatically detect the position where the metal shell needs to be welded, so as to facilitate the rapid welding of the metal shell and improve the welding work efficiency; by using the adjustment piece 1, it is convenient to adjust the longitudinal position of the plasma arc welding machine, and by using the adjustment piece 2, it is convenient to adjust the lateral position of the plasma arc welding machine. By using the adjustment piece 1 and the adjustment piece 2, it is convenient to weld the metal shells at different positions; 2. By analyzing the corner points and feature images of the analysis unit, it is determined whether the placement of the metal shell is consistent with the standard parts, ensuring that the welding part of the metal shell is in the best position each time welding, greatly reducing welding defects caused by position deviation; this analysis mechanism enables the welding device to adapt to metal shells of different models and specifications; no matter how the shape and size of the metal shell changes, as long as the parameters of the corresponding standard parts are pre-set, the equipment can quickly analyze, judge and adjust, thereby achieving accurate welding of various types of metal shells, expanding the scope of application of the welding device. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It shows a schematic structural diagram of a front viewing angle provided by an embodiment of the present invention; Figure 2 It shows a schematic structural diagram of a rear viewing angle provided by an embodiment of the present invention; Figure 3 It shows a schematic structural diagram of a bottom-up viewing angle provided by an embodiment of the present invention; Figure 4 A system flow chart provided according to an embodiment of the present invention is shown.

[0014] Legend: 1. Workbench; 2. Bracket; 3. Camera; 4. Control device; 5. Support plate 1; 6. Slide 1; 7. Slider 1; 8. Electric push rod; 9. Mounting plate; 10. Plasma arc welding machine; 11. Micro motor; 12. Drive motor; 13. Screw rod 1; 14. Slider 2; 15. Slide 2; 16. Screw rod 2; 17. Support plate 2. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] See also Figure 1-Figure 4 , the present invention provides a technical solution: A welding device for metal shell processing, comprising a workbench 1, a bracket 2 is provided at the rear end of the top surface of the workbench 1, and the bracket 2 is fixed to the middle part of the rear end surface of the top surface of the workbench 1 by bolts; an electric push rod 8 is provided below the bracket 2, and the use of the electric push rod 8 facilitates the plasma arc welding machine 10 to move up and down, so as to facilitate the welding processing of the metal shell; a mounting plate 9 is provided at the movable end of the electric push rod 8, and the plasma arc welding machine 10 is installed on the bottom surface of the mounting plate 9, and the plasma arc welding machine 10 is fixedly installed on the bottom surface of the mounting plate 9 by bolts, and is used for welding the metal shell; An adjusting member 1 for longitudinal adjustment of the electric push rod 8 is provided on the inner top surface of the bracket 2, and an adjusting member 2 for lateral adjustment of the electric push rod 8 is provided on the adjusting member 1; by using the adjusting member 1, it is convenient to adjust the longitudinal position of the plasma arc welding machine 10, by using the adjusting member 2, it is convenient to adjust the lateral position of the plasma arc welding machine 10, by using the adjusting member 1 and the adjusting member 2, it is convenient to weld metal shells at different positions, thereby improving the practicality of the welding device; The bracket 2 is also provided with a detection component. By using the detection component, the position of the metal shell that needs to be welded can be automatically detected, thereby facilitating rapid welding of the metal shell and improving welding work efficiency.

[0017] In the present invention, the adjusting member 1 includes a slideway 15 symmetrically arranged on the inner top surface of the bracket 2, a slider 14 slidably arranged on the slideway 15, and a support plate 17 arranged on the inner top surface of the bracket 2. A screw rod 16 is rotatably arranged on the support plate 17. One end of the screw rod 16 movably passes through the slider 14 and extends to the rear end of the bracket 2. The screw rod 16 and the slider 14 are threaded. A drive motor 12 is arranged at the rear end of the screw rod 16, and the drive motor 12 is installed on the rear end surface of the bracket 2 through a frame, which is used to support the drive motor 12, thereby facilitating the normal use of the drive motor 12.

[0018] In the present invention, the second adjusting member includes a slideway 6 symmetrically arranged on the bottom surface of a slider 14, a support plate 5 arranged at both ends of the slideway 6 and a slider 7 slidably arranged on the slideway 6, a screw rod 13 is rotatably arranged between the support plate 5, and the screw rod 13 is threadedly connected to the slider 7, a micro motor 11 is arranged at one end of the screw rod 13, and the micro motor 11 is installed on the support plate 5 through a motor frame, which is used to support the micro motor 11, thereby facilitating the normal use of the micro motor 11; the electric push rod 8 is installed on the bottom surface of the slider 7.

[0019] In the present invention, the detection component includes a camera 3 installed on a bracket 2, and a control device 4 that cooperates with the camera 3 is provided on the top surface of the bracket 2; the control device 4 includes an image processor and a controller, and the image processor is electrically connected to the camera 3, and the controller is electrically connected to the micro motor 11, the drive motor 12 and the electric push rod 8.

[0020] The detection component also includes an intelligent control module disposed inside the control device 4, and the intelligent control module includes a collection unit, an analysis unit, and an execution unit; Performing grayscale processing on the image data detected by the camera 3, segmenting the processed grayscale image according to the size of the pixel blocks, and numbering the segmented grayscale image blocks according to the number of rows and columns after segmentation; The standard parts are placed on the workbench 1 in the same manner and at the same angle, and the image data of the standard parts collected by the camera 3 are gray-scale processed and segmented. Then, a gray-scale image block of the segmented standard part is randomly selected, and the gray-scale value data of the gray-scale image block is obtained multiple times. The obtained gray-scale value data is removed from the extreme value and averaged, and the obtained gray-scale average data is recorded as the gray-scale data of the gray-scale image block; the gray-scale data of the gray-scale image block is compared with the preset gray-scale data. If the gray-scale data of the gray-scale image block is greater than the preset gray-scale data, it is determined that the area corresponding to the gray-scale image block is the environment area, and the gray-scale image block is the environment area. The row number and column number of the grayscale image block are compared with half of the total number of rows and columns of the image. If the row number of the grayscale image block is greater than half of the total number of rows, the row number count is reduced by one, otherwise, the row number count is increased by one; if the column number of the grayscale image block is greater than half of the total number of rows, the column number count is reduced by one, otherwise, the column number count is increased by one; the row number and column number counts obtained after the comparison are recorded, and the grayscale data of the grayscale image block corresponding to the recorded number is compared with the preset grayscale data again, until a grayscale image block whose grayscale data is equal to the preset grayscale data is found; If the grayscale data of the grayscale image block is less than the preset grayscale data, the area corresponding to the grayscale image block is determined to be the shell area, and the row number and column number of the grayscale image block are compared with half of the total number of rows and columns of the image. If the row number of the grayscale image block is greater than half of the total number of rows, the row number count is increased by one, otherwise, the row number count is reduced by one; if the column number of the grayscale image block is greater than half of the total number of rows, the column number count is increased by one, otherwise, the column number count is reduced by one; the row number and column number counts obtained after the comparison are recorded, and the grayscale data of the grayscale image block corresponding to the recorded number is compared with the preset grayscale data again, until a grayscale image block whose grayscale data is equal to the preset grayscale data is found; A grayscale image block whose grayscale data is equal to a preset grayscale data is marked as a boundary image block, and the numbering data of each boundary image block is obtained. If the adjacent row number or adjacent column number of the boundary image block is also a boundary image block, the two boundary image blocks are connected; after the connection of the boundary image blocks forms a closed loop, the connection is recorded as an image edge line; the grayscale image processed after the detection image data is processed is divided into regions according to the image edge line, and the inner side of the image edge line is divided into a metal shell.

[0021] The row and column numbers of the grayscale image blocks corresponding to the edge lines of the image are counted, and a grayscale image block corresponding to the edge line of the image is randomly selected, and the image block within the set distance in the vertical direction is used as the initial image block, with the initial count of zero. After rotating the set angle clockwise, the corresponding image block is marked and counted, and the initial count is increased by one; completion After the angle rotation, the grayscale values ​​of all image blocks in the angle rotation process are counted, and the initial count value of the grayscale image block whose grayscale value is equal to the preset grayscale data is obtained. The difference between the initial count values ​​of the two grayscale image blocks obtained is calculated. If the calculated difference is greater than the preset difference threshold, the grayscale image block is determined to be a corner point image block; Compare the grayscale value of each grayscale image block in the metal shell area with the preset grayscale data, mark the grayscale image block that is not equal to the preset grayscale data as a feature image block, and if the adjacent position of the feature image block is also a feature image block, then determine that the two feature image blocks are clustered, count the number of clustered feature image blocks, mark the clustered feature image blocks whose statistical number is greater than the preset number threshold as feature points, and record the number of clustered feature image blocks corresponding to the feature points; The grayscale image after grayscale processing of the detection image data is compared with the grayscale image of the standard part. If the numbers of the corresponding corner point image blocks are consistent and the number of clustered feature image blocks of the corresponding feature points is consistent, it is determined that the directions of the metal shell and the standard part are consistent, and a welding signal is generated according to the welding position corresponding to the standard part, and the welding signal is transmitted to the execution unit; if there is an inconsistency between the numbers of the corresponding corner point image blocks or the number of clustered feature image blocks of the corresponding feature points, the number of clustered feature image blocks of the corresponding feature points of the detection image is compared with the number of clustered feature image blocks of the corresponding feature points of the standard part. If the number of clustered feature image blocks of the corresponding feature points of the detection image is greater than the number of clustered feature image blocks of the corresponding feature points of the standard part, a left turn adjustment signal is generated and transmitted to the execution unit; otherwise, a right turn adjustment signal is generated and transmitted to the execution unit; if both the numbers of the corresponding corner point image blocks and the number of clustered feature image blocks of the corresponding feature points are inconsistent, a warning signal is generated and transmitted to the execution unit.

[0022] Working principle: When the present invention is used, the metal shell is first placed on the top surface of the workbench 1, and then the camera 3 transmits the image of the metal shell to the image processor in the control device 4, and the image processor processes and controls the micro motor 11, the drive motor 12 and the electric push rod 8 to start through the controller; The drive motor 12 is started, and the output shaft of the drive motor 12 rotates to drive the screw rod 16 to rotate, thereby driving the slider 14 to move forward and backward, thereby driving the slideway 1 6, the electric push rod 8 and the plasma arc welding machine 10 to move forward and backward; The micro motor 11 is started, and the output shaft of the micro motor 11 rotates to drive the screw rod 13 to rotate, thereby driving the slider 7 to move left and right, thereby driving the electric push rod 8 and the plasma arc welding machine 10 to move left and right; therefore, the plasma arc welding machine 10 is adjusted to the position on the metal shell where welding is required by controlling the above-mentioned drive motor 12 and the micro motor 11; Then, the electric push rod 8 is opened, and the movable end of the electric push rod 8 is extended to drive the mounting plate 9 to move downward, thereby driving the plasma arc welding machine 10 to move downward, and finally the metal shell is welded by the plasma arc welding machine 10.

[0023] The above description of the embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A welding device for metal shell processing, comprising a workbench (1), characterized in that: A bracket (2) is provided at the rear end of the top surface of the workbench (1); an electric push rod (8) is provided below the bracket (2); a mounting plate (9) is provided at the movable end of the electric push rod (8); and a plasma arc welding machine (10) is installed on the bottom surface of the mounting plate (9); An adjusting member 1 for longitudinally adjusting the electric push rod (8) is provided on the inner top surface of the bracket (2), and an adjusting member 2 for transversely adjusting the electric push rod (8) is provided on the adjusting member 1; The bracket (2) is also provided with a detection component, the detection component comprising an intelligent control module arranged inside the control device (4), the intelligent control module comprising a collection unit, an analysis unit and an execution unit; A collection unit for collecting image data of the metal casing on the workbench (1) and transmitting the collected image data to the analysis unit; The analysis unit analyzes the image data transmitted by the acquisition unit, determines the area of ​​the metal shell image, and then analyzes the corner points and feature images corresponding to the metal shell image area to determine whether the directions of the metal shell and the standard part are consistent. If the two are determined to be consistent, a welding signal is generated and the welding signal is transmitted to the execution unit; If it is determined that one of the two is inconsistent, an adjustment signal is generated and transmitted to the execution unit; if it is determined that both are inconsistent, a warning signal is generated and transmitted to the execution unit; The execution unit receives the signal transmitted by the analysis unit and performs corresponding operations.

2. A welding device for metal shell processing according to claim 1, characterized in that: The adjusting member 1 comprises a slideway 2 (15) symmetrically arranged on the inner top surface of the bracket (2), a slider 2 (14) slidably arranged on the slideway 2 (15), and a support plate 2 (17) arranged on the inner top surface of the bracket (2), a screw rod 2 (16) being rotatably arranged on the support plate 2 (17), one end of the screw rod 2 (16) movably passing through the slider 2 (14) and extending to the rear end of the bracket (2), and the screw rod 2 (16) and the slider 2 (14) are threadedly arranged, and a driving motor (12) is arranged at the rear end of the screw rod 2 (16).

3. A welding device for metal shell processing according to claim 1, characterized in that: The adjusting member 2 comprises a slideway 1 (6) symmetrically arranged on the bottom surface of a slider 2 (14), a support plate 1 (5) arranged at both ends of the slideway 1 (6) and a slider 1 (7) slidably arranged on the slideway 1 (6), a screw rod 1 (13) rotatably arranged between the support plate 1 (5), and the screw rod 1 (13) is threadedly connected to the slider 1 (7), a micro motor (11) is arranged at one end of the screw rod 1 (13), and the electric push rod (8) is installed on the bottom surface of the slider 1 (7).

4. A welding device for metal shell processing according to claim 1, characterized in that: The detection component further comprises a camera (3) mounted on the bracket (2); a control device (4) cooperating with the camera (3) is provided on the top surface of the bracket (2).

5. A welding device for metal shell processing according to claim 4, characterized in that: The control device (4) comprises an image processor and a controller, wherein the image processor is electrically connected to the camera (3), and the controller is electrically connected to the micro motor (11), the drive motor (12) and the electric push rod (8).

6. A welding device for metal shell processing according to claim 1, characterized in that: The analysis unit determines the metal shell image area in the following steps: S1: grayscale processing is performed on the image data detected by the camera (3), and the processed grayscale image is segmented according to the size of the pixel blocks, and the segmented grayscale image blocks are numbered according to the number of rows and columns after segmentation; S2: placing the standard parts on the workbench (1) in the same manner and at the same angle, performing grayscale processing and segmentation on the image data of the standard parts collected by the camera (3), and then randomly selecting a segmented grayscale image block of the standard parts, obtaining grayscale value data of the grayscale image block multiple times, and performing an operation of removing extreme values ​​and calculating the mean on the obtained grayscale value data, and recording the obtained grayscale mean data as the grayscale data of the grayscale image block; S3: comparing the grayscale data of the grayscale image block with preset grayscale data; if the grayscale data of the grayscale image block is greater than the preset grayscale data, determining that the area corresponding to the grayscale image block is the environment area; and comparing the row number and column number of the grayscale image block with half of the total number of rows and columns of the image; S4: if the row number of the grayscale image block is greater than half of the total number of rows, the row number count is reduced by one, otherwise, the row number count is increased by one; if the column number of the grayscale image block is greater than half of the total number of rows, the column number count is reduced by one, otherwise, the column number count is increased by one; Record the row number and column number counts obtained after the comparison, and compare the grayscale data of the grayscale image block corresponding to the recorded number with the preset grayscale data again, until a grayscale image block whose grayscale data is equal to the preset grayscale data is found; S5: If the grayscale data of the grayscale image block is less than the preset grayscale data, the area corresponding to the grayscale image block is determined to be the shell area, and the row number and column number of the grayscale image block are compared with half of the total number of rows and columns of the image. If the row number of the grayscale image block is greater than half of the total number of rows, the row number count is increased by one, otherwise, the row number count is decreased by one; if the column number of the grayscale image block is greater than half of the total number of rows, the column number count is increased by one, otherwise, the column number count is decreased by one; Record the row number and column number counts obtained after the comparison, and compare the grayscale data of the grayscale image block corresponding to the recorded number with the preset grayscale data again, until a grayscale image block whose grayscale data is equal to the preset grayscale data is found; S6: Mark the grayscale image blocks whose grayscale data are equal to the preset grayscale data as boundary image blocks, obtain the numbering data of each boundary image block, and connect the two boundary image blocks if the adjacent row number or adjacent column number of the boundary image block is also a boundary image block; after the connection of the boundary image blocks forms a closed loop, record the connection as an image edge line; divide the grayscale image processed by the detection image data into regions according to the image edge lines, and divide the inner side of the image edge line into a metal shell.

7. A welding device for metal shell processing according to claim 6, characterized in that: The analysis unit performs the following steps to analyze corner points and feature images: K1: Count the row and column numbers of the grayscale image blocks corresponding to the image edge line, randomly select a grayscale image block corresponding to the image edge line and take the image block within a set distance in the vertical direction as the initial image block, with the initial count of zero. After rotating the image block clockwise by a set angle, mark and count the corresponding image block, and add one to the initial count. K2: Complete After the angle rotation, the grayscale values ​​of all image blocks in the angle rotation process are counted, and the initial count value of the grayscale image block whose grayscale value is equal to the preset grayscale data is obtained. The difference between the initial count values ​​of the two grayscale image blocks obtained is calculated. If the calculated difference is greater than the preset difference threshold, the grayscale image block is determined to be a corner point image block; K3: Compare the grayscale values ​​of each grayscale image block in the metal shell area with the preset grayscale data, mark the grayscale image blocks that are not equal to the preset grayscale data as feature image blocks, and if the adjacent position of the feature image block is also a feature image block, then determine that the two feature image blocks are clustered, count the number of clustered feature image blocks, mark the clustered feature image blocks whose statistical number is greater than the preset number threshold as feature points, and record the number of clustered feature image blocks corresponding to the feature points; K4: Compare the grayscale image after grayscale processing of the detection image data with the grayscale image of the standard part. If the numbers of the corresponding corner image blocks are consistent and the number of clustered feature image blocks of the corresponding feature points is consistent, it is determined that the directions of the metal shell and the standard part are consistent, and a welding signal is generated according to the welding position corresponding to the standard part, and the welding signal is transmitted to the execution unit; K5: If there is an inconsistency between the number of the corresponding corner point image block and the number of the clustered feature image blocks of the corresponding feature points, the number of the clustered feature image blocks of the corresponding feature points of the detection image is compared with the number of the clustered feature image blocks of the corresponding feature points of the standard part. If the number of the clustered feature image blocks of the corresponding feature points of the detection image is greater than the number of the clustered feature image blocks of the corresponding feature points of the standard part, a left turn adjustment signal is generated and transmitted to the execution unit; otherwise, a right turn adjustment signal is generated and transmitted to the execution unit; K6: If the number of the corresponding corner point image block is inconsistent with the number of the clustered feature image blocks of the corresponding feature point, a warning signal is generated and transmitted to the execution unit.

8. A welding device for metal shell processing according to claim 7, characterized in that: The steps for the execution unit to perform operations are as follows: M1: after receiving the welding signal, the controller controls the micro motor (11), the drive motor (12) and the electric push rod (8) to perform the welding operation; M2: after receiving the left-turn adjustment signal, controls the turntable on the workbench (1) to rotate clockwise by the set rotation angle; after receiving the right-turn adjustment signal, controls the turntable on the workbench (1) to rotate counterclockwise by the set rotation angle; M3: After receiving the warning signal, a signal is sent through the warning unit inside the intelligent control module to control the buzzer inside the control device (4) to sound a buzzer warning, reminding the staff to adjust the placement of the metal shell.

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