Laser welding process detection system and method

Abstract

The present application relates to the field of laser welding, and provides a detection system and method for a laser welding process, the system comprising: a first component, the first component is used to receive the reflected light generated in the laser welding process, and disperse and split the reflected light into multiple beams of light in different wavelength ranges, and send the multiple beams of light in different wavelength ranges to the second component; a second component is used to receive the multiple beams of light in different wavelength ranges, and focus each of the beams to form multiple focusing units in the third component; a third component is used to generate a welding detection image according to the spectral information of the multiple focusing units. The detection system of the laser welding process of the present application has a simple system optical path, can be adapted to different welding systems, and is flexible to use. Because the first component is used to receive the reflected light generated in the laser welding process, the laser welding process can be detected in real time.

Description

Technical Field

[0001] The invention relates to the field of laser welding, and in particular to a detection system and method for a laser welding process. Background Art

[0002] Laser welding and connection fields have significant advantages, such as high production efficiency, small deformation of workpieces, and easy automation. Laser welding is increasingly used in welding various materials. Although there are too many factors affecting the welding process, the forming and mechanical systems have an important influence. The welding quality is easily affected by factors such as assembly quality, surface stains, side blowing gas, and molten pool flow. In addition, when large particle splashes and large-sized pores are formed during the welding process, the quality or appearance of the weld will also be affected. Poor welding quality, such as cold welding, is prone to occur. At this time, it is particularly important to monitor the welding quality.

[0003] At present, the means of monitoring welding quality still remain at the stage of manual inspection of welded workpieces, or power-on testing and partial destructive testing; this method is not only inefficient but also has low detection reliability and is greatly affected by human factors.

[0004] However, the optical system for real-time monitoring of the welding process has a complex optical path, complex structures of the splitting optical path and the monitoring optical path, and a large number of lenses, which is not conducive to the design and installation of the mechanical structure, and the mechanical structure processing is difficult. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present application provides a detection system and method for a laser welding process. The system has a simple optical path and is flexible to use. Moreover, because the first component is used to receive the reflected light generated during the laser welding process, the laser welding process can be detected in real time.

[0006] To solve the above problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present application provides a detection system for a laser welding process, the system comprising:

[0008] A first component, the first component is used to receive reflected light generated during laser welding, and disperse and split the reflected light into multiple light beams with different wavelength ranges, and send the multiple light beams with different wavelength ranges to the second component;

[0009] A second component is used to receive the plurality of light beams of different wavelength ranges and focus each of the light beams to form a plurality of focusing units in a third component;

[0010] The third component is used to generate a welding detection image according to the spectral information of the multiple focusing units.

[0011] In some embodiments, the first component is used to disperse and split the reflected light in the wavelength range of [150nm, 2000nm].

[0012] In some embodiments, the first component is a grating, the grating is tilted, and the reflective surface of the grating faces the second component.

[0013] In some embodiments, the second component is used to form a plurality of focusing units located on the same straight line in the third component.

[0014] In some embodiments, the second component is an aspheric lens, both surfaces of the aspheric lens are aspheric, and the aspheric lens focuses light beams in different wavelength ranges at different positions on the same straight line.

[0015] In some embodiments, the third component is a line array camera, which includes a column of pixel columns, and each of the focusing units is located in the pixel column.

[0016] In some embodiments, the first component is used to receive complex color light reflected by the welding workpiece during the welding process.

[0017] In a second aspect, an embodiment of the present application provides a method for detecting a laser welding process, which is applied to a detection system for a laser welding process according to the first aspect, and the method includes:

[0018] Determine the pixel points contained in each detection unit in the welding detection image according to the welding detection image; wherein each of the detection units includes at least one focusing unit;

[0019] Determine the detection grayscale value corresponding to each detection unit according to the pixel points contained in each detection unit;

[0020] Whether the welding quality is qualified is determined according to the detected grayscale value.

[0021] In some implementations, determining whether the welding quality is qualified according to the detected grayscale value includes:

[0022] Obtaining a detection reference envelope corresponding to each detection unit;

[0023] When the detection grayscale value corresponding to each detection unit is within the range of the detection reference envelope corresponding to the detection unit, it is determined that the welding quality is qualified.

[0024] In some implementations, determining the pixel points included in each detection unit in the welding detection image according to the welding detection image includes:

[0025] Determine the pixel points included in each detection unit in each welding detection image according to a plurality of welding detection images obtained by welding the same welding workpiece;

[0026] Determining the detection grayscale value corresponding to each detection unit according to the pixel points included in each detection unit includes:

[0027] Determine a detection grayscale value corresponding to each detection unit in each welding detection image according to the pixel points contained in each detection unit in each welding detection image;

[0028] Determine a detection gray value curve corresponding to each detection unit according to a plurality of detection gray values ​​corresponding to each detection unit;

[0029] Determining whether the welding quality is qualified according to the detected grayscale value includes:

[0030] Obtaining a detection reference envelope corresponding to each detection unit;

[0031] When the detection gray value curve corresponding to each detection unit is within the range of the detection reference envelope corresponding to the detection unit, it is determined that the welding quality is qualified.

[0032] The present application provides a detection system and method for a laser welding process, the system comprising: a first component, the first component is used to receive the reflected light generated in the laser welding process, and disperse and split the reflected light into multiple beams of light in different wavelength ranges, and send the multiple beams of light in different wavelength ranges to the second component; a second component is used to receive the multiple beams of light in different wavelength ranges, and focus each of the beams to form multiple focusing units in the third component; a third component is used to generate a welding detection image according to the spectral information of the multiple focusing units. The detection system for the laser welding process of the present application has a simple system optical path, can be adapted to different welding systems, and is flexible to use. Because the first component is used to receive the reflected light generated in the laser welding process, the laser welding process can be detected in real time. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a structural schematic diagram of a welding system and a detection system for a laser welding process provided in an embodiment of the present application.

[0034] Figure 2 It is a first flow chart of a method for detecting a laser welding process provided in an embodiment of the present application.

[0035] Figure 3 It is a second flow chart of a method for detecting a laser welding process provided in an embodiment of the present application.

[0036] Figure 4It is a structural schematic diagram of a detection device for a laser welding process provided in an embodiment of the present application.

[0037] Figure 5 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0038] Figure 6 It is a structural block diagram of a computer-readable storage medium provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] 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 only 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.

[0040] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0041] For the convenience of describing the first direction and the second direction in the embodiment of the present application, the first direction is the up-down direction in the drawings, the second direction is the front-back direction in the drawings, and the third direction is the left-right direction in the drawings. The x-axis arrow direction is referred to as the "up" direction in the following text, the y-axis arrow direction is referred to as the "back" direction in the following text, and the z-axis arrow direction is referred to as the "right" direction in the following text, which is not limited to the actual application of the present application.

[0042] See also Figure 1 , Figure 1 Schematic diagram of the structure of the welding system and the detection system of the laser welding process provided in the embodiment of the present application. Figure 1 As shown, Figure 1 It includes welding system and detection system of laser welding process.

[0043] In some embodiments, the welding system includes a first input end 1 , a first lens 2 , a first galvanometer 3 , a second lens 4 , and a first workpiece 5 .

[0044] In some embodiments, the first input end 1 is a laser input port.

[0045] Optionally, the laser input port can select a fiber laser, a semiconductor laser or other laser to input laser light.

[0046] Optionally, the laser input port can be set to emit light at a single point or continuously.

[0047] In some embodiments, the first lens 2 is a lens with a plane facing the first input end 1 , and the first lens 2 is used to collimate the laser beam input from the first input end 1 .

[0048] Optionally, the first lens 2 is a plano-convex lens.

[0049] In some embodiments, the first galvanometer 3 is a welding galvanometer, which is used to control the welding direction and welding pattern.

[0050] In some embodiments, the second lens 4 is a focusing field lens connected to the first galvanometer mirror 3 for focusing the laser beam.

[0051] In some embodiments, the first workpiece 5 is a welding workpiece.

[0052] In some embodiments, when the welding system is welding the first workpiece 5, the reflected light generated by the first workpiece 5 is reflected by the welding system to the detection system of the laser welding process, so that the detection system of the laser welding process receives it.

[0053] Further, Figure 1 The reflected light shown in FIG. 1 is reflected by the first galvanometer 3 into the detection system of the laser welding process, but the present application is not limited thereto.

[0054] In some embodiments, a detection system for a laser welding process includes a first component 6 , a second component 7 , and a third component 8 .

[0055] In some embodiments, the first component is used to receive reflected light generated during laser welding, and to disperse and split the reflected light into multiple light beams with different wavelength ranges, and to send the multiple light beams with different wavelength ranges to the second component;

[0056] In some embodiments, the second component is used to receive the multiple light beams of different wavelength ranges and focus each of the light beams to form multiple focusing units in the third component;

[0057] In some embodiments, the third component is used to generate a welding inspection image based on the spectral information of the plurality of focusing units.

[0058] In some embodiments, the first component is used to disperse and split the reflected light in the wavelength range of [150nm, 2000nm].

[0059] In some embodiments, the first component 8 is a grating, the grating is placed at an angle, and the reflective surface of the grating faces the second component.

[0060] In some embodiments, the first component 8 is used to receive the complex-color light reflected by the welding workpiece, ie, the first workpiece 5 during the welding process.

[0061] Optionally, the first component 8 is a plane reflection grating, which is tilted at 45° and the reflection surface faces the second component 7; the complex light incident on the plane reflection grating is diffracted on the plane reflection grating, and dispersion splitting is achieved according to the different diffraction angles of light of different wavelengths, thereby separating light of different wavelengths.

[0062] Optionally, in order to improve the grating diffraction efficiency, the first component 8 is a plane blazed grating.

[0063] The glare grating spectrometer can simultaneously obtain the real-time spectral information of the target and has the characteristics of simple structure, good stability and high spectral resolution.

[0064] The first component 8 is used to split the complex light incident on the first component 8 into lights of different wavelength bands to form a spectrum signal, thereby simplifying the splitting system and completing the splitting of each wavelength band at one time.

[0065] In some embodiments, the second component 7 is used to form a plurality of focusing units located on the same straight line in the third component 6 .

[0066] Specifically, the second component 7 focuses the light beams of different wavelengths separated by the first component 8 onto a straight line that can be received by the third component 8, and the adjacent wavelengths are focused into one point, dividing the spectral information into a plurality of focusing units.

[0067] In some embodiments, due to the presence of the aspheric lens, different wavelengths are focused on a specific point on a straight line, and light of different wavelengths appears as different focusing positions on the third component.

[0068] For example, different wavelengths of light have different proportions in the complex light, and the light intensities of the focusing units formed are different. The focusing unit formed by light with a higher proportion has a stronger light intensity, which appears as a higher brightness in the third component, such as a line array camera. Therefore, the welding effect can be judged according to the grayscale value of the focusing unit formed by the reflected light in the line array camera.

[0069] Optionally, the second component 7 is an aspheric focusing lens, both sides of which are aspheric; since the first component 8 disperses the complex light, the aspheric characteristics of the aspheric focusing lens are used to focus the light beams of different wavelengths separated by the first component 8 and converge them onto a straight line that can be received by the third component 6. Adjacent wavelengths are focused into one point, and the spectral information is divided into a preset number of focusing points.

[0070] Preferably, the preset number is in the range of [80, 100].

[0071] Optionally, the preset number is 80 or 90 or 100.

[0072] Optionally, the second component 7 is a lens group, specifically, the lens group is a coaxial optical system composed of two or more lenses.

[0073] In some embodiments, the third component 6 is a line array camera, which includes a column of pixel columns, and each of the focusing units is located in the pixel column.

[0074] Optionally, the third component 6 is a linear array camera having only one column of pixels for receiving the spectral information converged by the second component 7 and forming an image. Since different wavelengths account for different proportions in the complex light, points with different grayscale values ​​are formed in the linear array camera imaging.

[0075] Specifically, a line scan camera having only one column of pixels only represents the imaging range of the line scan camera, and can also be described as a line scan camera having a row of pixels, etc., which is not limited in the present application.

[0076] Through the high-speed operation of the linear array camera, the welding process can be monitored in real time. The detection system of the laser welding process receives the reflected light that is only generated when welding begins to detect the welding quality, thus realizing real-time detection of the laser welding process.

[0077] In some embodiments, see Figure 2 , Figure 2 1 is a first flow chart of a method for detecting a laser welding process provided in an embodiment of the present application. The method for detecting a laser welding process is applied to the above-mentioned detection system for the laser welding process, such as Figure 2 As shown, the detection method of the laser welding process includes: steps 110 to 130.

[0078] Step 110: Determine the pixel points included in each detection unit in the welding detection image according to the welding detection image; wherein each of the detection units includes at least one focusing unit.

[0079] In some embodiments, the division basis of the focusing unit includes wavelength and the number of pixels in the third component.

[0080] Optionally, the focusing units are divided according to wavelength, with each 50 nm being a group into one focusing unit. When the wavelength range of the polychromatic light is 200 nm-2000 nm, it is divided into 36 groups, and each focusing unit occupies 4-5 pixels in the welding detection image.

[0081] Here, every 50nm of light is focused into a focusing unit, specifically by changing the characteristics of the aspheric surface so that every 50nm of light can be focused into a point.

[0082] Optionally, the third component is a line array camera, the pixels of which are all located on a straight line, the line array camera includes 2k pixels, and each group of 55 pixels is divided into a focusing unit, which is divided into 36 groups.

[0083] Step 120: Determine the detection grayscale value corresponding to each detection unit according to the pixel points included in each detection unit.

[0084] In some embodiments, the average grayscale value of the pixels included in each detection unit is called the detection grayscale value, that is, the detection grayscale value = the sum of the grayscale values ​​of the pixels included in the detection unit / the total number of pixels.

[0085] Step 130: Determine whether the welding quality is qualified according to the detected grayscale value.

[0086] Specifically, the grayscale value refers to the brightness value of each pixel in the image, usually represented by an integer from 0 to 255. In a grayscale image, the grayscale value of each pixel represents the brightness of the pixel. The larger the grayscale value, the higher the brightness of the pixel, and the smaller the grayscale value, the lower the brightness of the pixel.

[0087] In some embodiments, step 130 includes the following steps.

[0088] Step 131: Obtain the detection reference envelope corresponding to each detection unit.

[0089] Step 132: When the detection grayscale value corresponding to each detection unit is within the range of the detection reference envelope corresponding to the detection unit, it is determined that the welding quality is qualified.

[0090] Exemplarily, if the detection grayscale value corresponding to the first detection unit is within the range of the detection reference envelope corresponding to the first detection unit, the detection grayscale value corresponding to the second detection unit is within the range of the detection reference envelope corresponding to the second detection unit, ... and the detection grayscale value corresponding to the last detection unit is within the range of the detection reference envelope corresponding to the last detection unit, then the welding quality is considered qualified.

[0091] See also Figure 3 , Figure 3 2 is a second flow chart of a method for detecting a laser welding process provided in an embodiment of the present application. Figure 3 As shown, the detection method 200 of the laser welding process includes: steps 210 to 250.

[0092] Step 210: Determine the pixel points included in each detection unit in each welding detection image according to a plurality of welding detection images obtained by welding the same welding workpiece.

[0093] Step 220: Determine the detection grayscale value corresponding to each detection unit in each welding detection image according to the pixel points contained in each detection unit in each welding detection image.

[0094] Exemplarily, the grayscale average value of the pixels included in each detection unit is the detection grayscale value corresponding to each detection unit.

[0095] For example, a total of 36 focusing units are formed in the line array camera, and each detection unit includes a focusing unit, so there are 36 detection units, and a corresponding detection grayscale value can be calculated for each detection unit in a single image.

[0096] Step 230: Determine a detection gray value curve corresponding to each detection unit according to a plurality of detection gray values ​​corresponding to each detection unit.

[0097] In some embodiments, during the welding process of the welding workpiece, the linear array camera monitors the welding process in real time, so that multiple welding detection images are acquired from the beginning to the end of welding. According to the acquisition order of the welding detection images, each detection unit can acquire a detection grayscale value curve with the X-axis as time and the Y-axis as the detection grayscale value.

[0098] Step 240: Obtain the detection reference envelope corresponding to each detection unit.

[0099] Step 250: When the detection gray value curve corresponding to each detection unit is within the range of the detection reference envelope corresponding to the detection unit, it is determined that the welding quality is qualified.

[0100] Exemplarily, if the detection gray value curve corresponding to the first detection unit is within the range of the detection reference envelope corresponding to the first detection unit, the detection gray value curve corresponding to the second detection unit is within the range of the detection reference envelope corresponding to the second detection unit, ... and the detection gray value curve corresponding to the last detection unit is within the range of the detection reference envelope corresponding to the last detection unit, then the welding quality is considered qualified.

[0101] In some implementations, the embodiments of the present application also include the following steps.

[0102] (1) Acquire multiple welding inspection images generated by the third component when the laser welding system welds the Nth calibration workpiece, where N=1 in the initial state.

[0103] (2) Generating a calibration grayscale value curve for each detection unit according to the multiple welding detection images and the acquisition time of each welding detection image, wherein the abscissa of the calibration grayscale value curve is time, and the ordinate is the detection grayscale value.

[0104] (3) Determine whether N is equal to P. If N is less than P, set N=N+1, and return to the execution step to obtain multiple welding inspection images generated by the third component when the laser welding system welds the Nth welding workpiece; wherein P is a positive integer and P is greater than 1.

[0105] (4) If N=P, a detection reference envelope corresponding to each detection unit is generated according to the multiple calibration gray value curves corresponding to each detection unit.

[0106] In some embodiments, the above is a calibration process for detecting a reference envelope, and thus the welding workpiece is referred to as a calibration workpiece.

[0107] In some implementations, a point (x, y) is defined in a calibration gray value curve of a certain detection unit, where x is time, and y is the detection gray value of the detection unit in a welding detection image acquired at time x.

[0108] In some embodiments, after obtaining multiple calibration gray value curves of a certain detection unit, because it is unknown whether the welding of the calibration workpiece is qualified, the calibration gray value curve with a significantly larger difference from the other calibration gray value curves among the multiple calibration gray value curves is deleted.

[0109] Optionally, when the difference between the peak value of a certain calibrated gray value curve and the peak values ​​of all other calibrated gray value curves is greater than a preset difference, it is considered that the difference between the calibrated gray value curve and the other calibrated gray value curves is significantly large.

[0110] In some embodiments, multiple calibrated grayscale value curves of a detection unit are called a curve family corresponding to the detection unit. If a first calibrated grayscale value curve determined in the curve family of a detection unit is significantly different from the remaining calibrated grayscale value curves, the first calibrated grayscale value curve is deleted from the curve family, and the calibration workpiece corresponding to the first calibrated grayscale value curve is determined, and the remaining calibrated grayscale value curves corresponding to the calibration workpiece are deleted from the curve families of the remaining detection units.

[0111] In some embodiments, the third component is a line array camera, which can only acquire one row / column of images at a time. After the line array camera acquires N rows / columns of images, the N rows / columns of images are spliced ​​in the order of acquisition to form a detection image containing more information, and the average grayscale value of the detection image is calculated, where N is a positive integer.

[0112] Furthermore, the images can be spliced ​​based on whether the welding of the first workpiece is completed, and the welding detection image of the first row / column is defined to be obtained when the welding of the first workpiece just begins, and the welding detection image of the Nth row / column is defined to be obtained when the welding of the first workpiece is completed. At this time, the detection method of the laser welding process provided in the present application also includes the following steps.

[0113] (1) obtaining a welding start signal, and marking the first welding detection image obtained after obtaining the welding start signal as a start detection image; wherein the welding start signal is used to reflect that the first workpiece starts to be welded;

[0114] (2) obtaining a welding completion signal, and marking the Nth welding detection image obtained after obtaining the welding completion signal as a completion detection image; wherein the welding completion signal is used to reflect that the welding of the first workpiece is completed;

[0115] (3) determining a detection image whose image time is between the first image time and the second image time according to the first image time of the start welding detection image and the second image time of the completion welding detection image;

[0116] (4) stitching the start detection image, the intermediate detection image, and the completed detection image together in a preset stitching method to form a complete detection image;

[0117] (5) Determine the welding quality of the first workpiece based on the complete inspection image.

[0118] In some embodiments, the welding quality of the first workpiece is determined by calculating the average grayscale value of the complete detection image, and when the difference between the average grayscale value of the complete detection image and a preset average grayscale value is within a preset range, the welding quality is determined to be qualified.

[0119] See also Figure 4 , Figure 4 Schematic diagram of the structure of a laser welding detection device provided in an embodiment of the present application. Figure 4 As shown, the laser welding detection device includes: a first determination unit 310 , a second determination unit 320 and a third determination unit 330 .

[0120] The first determination unit 310 is used to determine the pixel points contained in each detection unit in the welding detection image according to the welding detection image; wherein each of the detection units includes at least one focusing unit.

[0121] The second determining unit 320 is used to determine the detection grayscale value corresponding to each detection unit according to the pixel points included in each detection unit.

[0122] The third determination unit 330 is used to determine whether the welding quality is qualified according to the detected gray value.

[0123] See also Figure 5 , Figure 5 Schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 5 As shown, the electronic device 400 includes: one or more processors 410 and a memory 420, Figure 5A processor 410 is taken as an example.

[0124] In some implementations, the processor 410 and the memory 420 may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0125] In some embodiments, the processor 410 is used to determine the pixel points contained in each detection unit in the welding detection image according to the welding detection image; wherein each of the detection units includes at least one focusing unit; determine the detection grayscale value corresponding to each detection unit according to the pixel points contained in each detection unit; and determine whether the welding quality is qualified according to the detection grayscale value.

[0126] In some embodiments, the memory 420, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules of the detection method of the laser welding process in the embodiment of the present application. The processor 410 executes various functional applications and data processing of the electronic device by running the non-volatile software programs, instructions and modules stored in the memory 420, that is, the detection method of the laser welding process of the above method embodiment is realized.

[0127] In some embodiments, the memory 420 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 420 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 420 may optionally include a memory remotely arranged relative to the processor 410, and these remote memories may be connected to the controller via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0128] In some embodiments, one or more modules are stored in the memory 420, and when executed by one or more processors 410, the detection method of the laser welding process in any of the above method embodiments is executed, for example, the above described Figure 2 Method steps 110 to 130 in.

[0129] Please refer to Figure 6 , Figure 6The computer-readable storage medium 500 stores a program code 510, which can be called by a processor to execute the detection method of the laser welding process described in the above method embodiment.

[0130] The computer-readable storage medium 500 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM, a hard disk, or a ROM. Optionally, the computer-readable storage medium includes a non-transitory computer-readable storage medium. The computer-readable storage medium 500 has a storage space for program codes for executing any method steps in the above control method. These program codes may be read from or written to one or more computer program products. The program code may be compressed, for example, in an appropriate form.

[0131] In summary, the present application provides a detection system and method for a laser welding process, the system comprising: a first component, the first component is used to receive the reflected light generated during the laser welding process, and disperse and split the reflected light into multiple beams of light in different wavelength ranges, and send the multiple beams of light in different wavelength ranges to the second component; a second component is used to receive the multiple beams of light in different wavelength ranges, and focus each of the beams to form multiple focusing units in the third component; a third component is used to generate a welding detection image based on the spectral information of the multiple focusing units. The detection system for the laser welding process of the present application has a simple system optical path, can be adapted to different welding systems, and is flexible to use. Because the first component is used to receive the reflected light generated during the laser welding process, the laser welding process can be detected in real time.

[0132] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for detecting a laser welding process, characterized in that: A detection system applied to a laser welding process, the detection system for the laser welding process comprising a first component, a second component and a third component, the first component is used to receive reflected light generated in the laser welding process, and disperse and split the reflected light into multiple light beams with different wavelength ranges, and send the multiple light beams with different wavelength ranges to the second component; the second component is used to receive the multiple light beams with different wavelength ranges, and focus each of the light beams to form multiple focusing units in the third component; The third component is used to generate a welding detection image according to the spectral information of the multiple focusing units; the method includes: Determine the pixel points contained in each detection unit in the welding detection image according to the welding detection image; wherein each of the detection units includes at least one focusing unit; Determine the detection grayscale value corresponding to each detection unit according to the pixel points contained in each detection unit; Whether the welding quality is qualified is determined according to the detected grayscale value.

2. The method according to claim 1, characterized in that Determining whether the welding quality is qualified according to the detected grayscale value includes: Obtaining a detection reference envelope corresponding to each detection unit; When the detection grayscale value corresponding to each detection unit is within the range of the detection reference envelope corresponding to the detection unit, it is determined that the welding quality is qualified.

3. The method according to claim 1, characterized in that The step of determining the pixel points contained in each detection unit in the welding detection image according to the welding detection image comprises: Determine the pixel points included in each detection unit in each welding detection image according to a plurality of welding detection images obtained by welding the same welding workpiece; Determining the detection grayscale value corresponding to each detection unit according to the pixel points included in each detection unit includes: Determine a detection grayscale value corresponding to each detection unit in each welding detection image according to the pixel points contained in each detection unit in each welding detection image; Determine a detection gray value curve corresponding to each detection unit according to a plurality of detection gray values ​​corresponding to each detection unit; Determining whether the welding quality is qualified according to the detected grayscale value includes: Obtaining a detection reference envelope corresponding to each detection unit; When the detection gray value curve corresponding to each detection unit is within the range of the detection reference envelope corresponding to the detection unit, it is determined that the welding quality is qualified.

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