Light recovery efficiency detection method and device, controller and photoelectric detection system

Abstract

The invention provides a light recovery efficiency detection method and device, a controller and a photoelectric detection system, and relates to the technical field of solar energy. The photoelectric detection system comprises a laser, an industrial camera and a controller; the method comprises the following steps: emitting a first light beam through a laser to irradiate the surface of the solar cell module to form a first light spot; shooting a first image through the industrial camera, wherein the first image comprises the first light spot; emitting a second light beam through the laser to irradiate a gap between the two groups of solar cell modules so as to form a second light spot; shooting a second image through the industrial camera, wherein the second image comprises a second light spot; determining a light recovery efficiency based on the first image and the second image; according to the method, the laser reflection light panel on the surface of the solar cell is identified through image detection, the gap reflection light spots are determined through laser irradiation on the gaps of the solar cell module, and the light recovery efficiency is determined through the two light spots, so that the efficiency of the light recovery detection technology is improved, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the field of solar energy technology, and in particular to a light recovery efficiency detection method, device, controller and photoelectric detection system. Background Art

[0002] As the research on improving the energy efficiency of solar cell modules becomes increasingly sophisticated and in-depth, how to conveniently and quantitatively detect the light recovery between the gaps of solar cell modules is becoming increasingly important for the research on improving the energy efficiency of solar cell modules and the refinement of related process quality control technologies. At present, the existing solar cell module gap light recovery detection technology is inefficient and the user experience is poor. Summary of the invention

[0003] The purpose of the present invention is to provide a light recovery efficiency detection method, device, controller and photoelectric detection system. First, the laser reflection light plate on the surface of the solar cell is identified through image detection, and then the gap of the solar cell module is irradiated with a laser to determine the gap reflection light spot. The light recovery efficiency is determined by the two light spots, which improves the efficiency of the light recovery detection technology and enhances the user experience.

[0004] In a first aspect, the present invention provides a light recycling efficiency detection method, which is applied to a controller of a photoelectric detection system, wherein the photoelectric detection system includes: a laser, an industrial camera, and a controller;

[0005] Methods include:

[0006] The laser emits a first light beam to illuminate the surface of the solar cell module to form a first light spot;

[0007] photographing the first light spot by an industrial camera, and determining an image containing the first light spot as a first image;

[0008] The second light beam is emitted by the laser to illuminate the gap between the two groups of solar cell modules to form a second light spot; wherein the diameter of the first light beam is equal to the diameter of the second light beam;

[0009] photographing the second light spot by an industrial camera, and determining an image containing the second light spot as a second image;

[0010] A light recycling efficiency is determined based on the first image and the second image.

[0011] In some preferred embodiments of the present invention, the step of determining the light recycling efficiency based on the first image and the second image comprises:

[0012] Determine brightness data of the first light spot based on the first image;

[0013] determining brightness data of the second light spot based on the second image;

[0014] The light recycling efficiency is determined based on the brightness data of the second light spot and the brightness data of the first light spot.

[0015] In some preferred embodiments of the present invention, the step of determining the light spot brightness data based on the image includes:

[0016] Segment the image and extract the light spot of the segmented image;

[0017] Get the gray value of the light spot;

[0018] The light spot brightness data is determined based on the grayscale value of the light spot.

[0019] In some preferred embodiments of the present invention, the step of performing spot extraction on the segmented image includes:

[0020] Perform spot edge detection on the segmented image to extract the outline of the spot;

[0021] The light spot is determined based on the profile of the light spot.

[0022] In some preferred embodiments of the present invention, after the step of segmenting the image to obtain the segmented image, the method further comprises:

[0023] Perform seam removal processing on the segmented image.

[0024] In some preferred embodiments of the present invention, the photoelectric detection system further comprises: an adjustment lens;

[0025] The adjusting lens is arranged on the optical path of the laser emitted by the laser;

[0026] The adjusting lens is used to adjust the diameter of the first light beam or the second light beam.

[0027] In some preferred embodiments of the present invention, the photoelectric detection system further comprises: a beam splitter;

[0028] The beam splitter is used to adjust the direction of the optical path of the laser emitted by the laser.

[0029] In a second aspect, the present invention provides a light recovery efficiency detection device, which is applied to a controller of a photoelectric detection system, wherein the photoelectric detection system includes: a laser, an industrial camera and a controller;

[0030] The device includes:

[0031] A first light beam processing module, used for emitting a first light beam through a laser to irradiate the surface of the solar cell module to form a first light spot;

[0032] A first image processing module, used for photographing a first light spot by an industrial camera, and determining an image containing the first light spot as a first image;

[0033] A second light beam processing module, used for emitting a second light beam through a laser to illuminate the gap between the two groups of solar cell modules to form a second light spot; wherein the diameter of the first light beam is equal to the diameter of the second light beam;

[0034] A second image processing module, used for photographing the second light spot by an industrial camera, and determining an image containing the second light spot as a second image;

[0035] The light recycling efficiency determination module is used to determine the light recycling efficiency based on the first image and the second image.

[0036] In a third aspect, the present invention provides a controller for executing the light recycling efficiency detection method provided in the first aspect.

[0037] In a fourth aspect, the present invention provides a photoelectric detection system, comprising a laser, an industrial camera and a controller provided by the third invention;

[0038] Both the laser and the industrial camera are connected to the controller.

[0039] The present invention brings the following beneficial effects:

[0040] The present invention provides a light recovery efficiency detection method, device, controller and photoelectric detection system, the method and device are applied to the controller of the photoelectric detection system, the photoelectric detection system comprises: a laser, an industrial camera and a controller; the method comprises: emitting a first light beam through a laser to irradiate the surface of a solar cell module to form a first light spot; photographing the first light spot through an industrial camera, and determining an image containing the first light spot as a first image; emitting a second light beam through a laser to irradiate a gap between two groups of solar cell modules to form a second light spot; wherein the diameter of the first light beam is equal to the diameter of the second light beam; photographing the second light spot through an industrial camera, and determining an image containing the second light spot as a second image; determining the light recovery efficiency based on the first image and the second image; firstly identifying the laser reflection light plate on the surface of the solar cell through image detection, and then irradiating the gap of the solar cell module through a laser to determine the gap reflection light spot, and determining the light recovery efficiency through the two light spots, thereby improving the efficiency of the light recovery detection technology and enhancing the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1A flow chart of a light recycling efficiency detection method provided by an embodiment of the present invention;

[0043] Figure 2 A schematic diagram of the structure of a photoelectric detection system provided by an embodiment of the present invention;

[0044] Figure 3 A schematic diagram of a light path of a first light beam in a solar cell module provided by an embodiment of the present invention;

[0045] Figure 4 A schematic diagram of a light path of a second light beam in a solar cell module provided by an embodiment of the present invention;

[0046] Figure 5 A schematic image of a battery before seam removal provided by an embodiment of the present invention;

[0047] Figure 6 A schematic diagram of a seam area after removal provided by an embodiment of the present invention;

[0048] Figure 7 A schematic diagram of a grayscale image of a light spot detected based on a red light spot area provided by an embodiment of the present invention;

[0049] Figure 8 A schematic structural diagram of a light recovery efficiency detection device provided in an embodiment of the present invention.

[0050] Icons: 100-display module; 200-signal processing and data storage module; 300-power supply and communication interface; 400-power module; 500-beam splitter; 600-adjustment lens; 700-detection object; 10-controller; 20-industrial camera; 30-laser; 310-first beam processing module; 320-first image processing module; 330-second beam processing module; 340-second image processing module; 350-light recovery efficiency determination module. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0052] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. 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.

[0053] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0054] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the invention is usually placed when in use. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0055] In addition, the terms "horizontal", "vertical", "overhanging" and the like do not mean that the components are required to be absolutely horizontal or overhanging, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0056] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0057] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0058] Embodiment 1

[0059] The embodiment of the present invention provides a light recycling efficiency detection method, which is applied to a controller 10 of a photoelectric detection system, wherein the photoelectric detection system includes: a laser 30, an industrial camera 20 and a controller 10;

[0060] See also Figure 1 The flowchart of a light recycling efficiency detection method provided by an embodiment of the present invention is shown, and the method includes:

[0061] Step S102 : The laser 30 emits a first light beam to illuminate the surface of the solar cell module to form a first light spot.

[0062] For details, see Figure 2 The structure diagram of a photoelectric detection system provided by an embodiment of the present invention is shown, the power supply communication interface 300 can interact with external devices, and it is also necessary to connect an external power supply to provide energy for the system; the controller 10 can be a circuit mainboard with a signal processing data storage module 200 and a display and command communication, the display module 100 is used to display information, including but not limited to the brightness value and grayscale value of the first light spot, the brightness value and grayscale value of the second light spot and the light recovery efficiency; the signal processing data storage module 200 is used to process and store data; the power module 400 rectifies the external power supply and supplies power to each module of the system; the circuit mainboard controls the action of the laser 30 and the industrial camera 20, the laser 30 is used to emit laser to irradiate the target position; the industrial camera 20 captures the detected image.

[0063] First, the laser 30 emits a light beam to illuminate the surface of the solar cell module to form a first light spot. The diameter of the first light plate can be adjusted. Generally, its diameter adjustment value needs to be approximately consistent with the width of the gap to be measured, that is, consistent with the gap width between the two groups of solar cell modules.

[0064] Step S104: photograph the first light spot by the industrial camera 20, and determine the image including the first light spot as the first image.

[0065] Specifically, the industrial camera 20 collects photos of the surface of the inspection object 700 within the field of view (FOV). The frame of the industrial camera 20 is fixed, and the pixels of each photo are consistent. Figure 3 The embodiment of the present invention shown is a schematic diagram of the optical path of a first light beam in a solar cell module, in which a camera is used to take pictures to collect an image containing a first light spot. In some preferred embodiments of the present invention, multiple images can be collected and the clearest image can be selected as the first image. Grayscale values ​​can also be averaged through multiple images, and the image after the grayscale value average calculation can be used as the first image, or an image with a grayscale value at a pixel point closest to the image after the grayscale value average calculation can be used as the first image. The image after such optimization has the highest picture quality and the most stable display.

[0066] Step S106, emitting a second light beam through the laser 30 to illuminate the gap between the two groups of solar cell modules to form a second light spot; wherein the diameter of the first light beam is equal to the diameter of the second light beam.

[0067] Specifically, the photoelectric detection system is moved to align the laser emitted by the laser 30 with the gap between the two groups of solar cell modules. During the movement of the system, the relative position of the industrial camera 20 and the laser 30 remains unchanged, see Figure 4 The schematic diagram of the optical path of a second light beam in a solar cell module provided by an embodiment of the present invention is shown. The second light beam is emitted by a laser 30 to illuminate the gap. Since the solar cell module is covered with a front glass, the second light beam is reflected by the reflective film in the gap and then reflected by the front glass to the solar cell module to form a second light spot.

[0068] Step S108: photographing the second light spot by the industrial camera 20, and determining an image including the second light spot as the second image.

[0069] Specifically, an image of the second light spot is captured by the industrial camera 20 as the second image. In some preferred embodiments of the present invention, multiple images containing the second light spot may also be collected for further processing, which will not be described in detail herein.

[0070] In some preferred embodiments of the present invention, in order to facilitate the adjustment of the diameter of the first light beam, the second light beam may be adjusted first, the diameter of the light beam may be fixed, and then the first light spot may be photographed, which can reduce errors and improve detection accuracy.

[0071] Step S110 : determining light recycling efficiency based on the first image and the second image.

[0072] Specifically, since the frame of the industrial camera 20 is fixed, the pixels of the first image and the second image are the same. In the process of calculating the light recovery efficiency, the grayscale values ​​of all pixels in the first image and the second image can be directly added, and the quotient of the grayscale value corresponding to the second image and the grayscale value corresponding to the first image can be used as the light recovery efficiency.

[0073] In some preferred embodiments of the present invention, further image processing may be performed on the first image and the second image, and the processing process includes but is not limited to: image segmentation, spot extraction, data standardization, etc.

[0074] Further, in some preferred embodiments of the present invention, continue to refer to Figure 2 The photoelectric detection system further includes: an adjusting lens 600; the adjusting lens 600 is disposed on the optical path of the laser emitted by the laser 30; the adjusting lens 600 is used to adjust the diameter of the first light beam or the second light beam.

[0075] Specifically, in actual products, the position of the laser 30 is also fixed, so it is necessary to adjust the lens 600 to adjust the diameter of the light beam. The adjustment lens 600 is set on the optical path of the laser emitted by the laser 30. By adjusting the distance from the lens 600 to the laser 30, the beam diameter can be adjusted quickly and conveniently through the line of sight.

[0076] Further, in some preferred embodiments of the present invention, continue to refer to Figure 2 The photoelectric detection system further includes: a beam splitter 500 ; the beam splitter 500 is used to adjust the direction of the optical path of the laser emitted by the laser 30 .

[0077] Specifically, in order to save space inside the product and make the best use of the space inside the product, the light path is adjusted by the beam splitter 500. The beam splitter 500 can be a semi-transparent membrane that can both reflect light and allow light to pass normally.

[0078] The present invention provides a light recovery efficiency detection method, which is applied to a controller 10 of a photoelectric detection system, wherein the photoelectric detection system includes: a laser 30, an industrial camera 20 and a controller 10; the method includes: emitting a first light beam through the laser 30 to irradiate the surface of a solar cell module to form a first light spot; photographing the first light spot through the industrial camera 20, and determining an image containing the first light spot as a first image; emitting a second light beam through the laser 30 to irradiate a gap between two groups of solar cell modules to form a second light spot; wherein the diameter of the first light beam is equal to the diameter of the second light beam; photographing the second light spot through the industrial camera 20, and determining an image containing the second light spot as a second image; determining the light recovery efficiency based on the first image and the second image; firstly identifying a laser reflection light plate on the surface of a solar cell through image detection, and then irradiating the gap of the solar cell module through a laser to determine the gap reflection light spot, and determining the light recovery efficiency through the two light spots, thereby improving the efficiency of the light recovery detection technology and enhancing the user experience.

[0079] Embodiment 2

[0080] Based on the above embodiments, embodiments of the present invention provide another method for detecting light recovery efficiency. In some preferred embodiments of the present invention, the step of determining the light recovery efficiency based on the first image and the second image includes: determining the brightness data of the first light spot based on the first image; determining the brightness data of the second light spot based on the second image; determining the light recovery efficiency based on the brightness data of the second light spot and the brightness data of the first light spot.

[0081] Specifically, the brightness data I0 of the laser spot on the surface of the solar cell in the first image is measured and stored. In some preferred embodiments of the present invention, I0 may also be the sum of the grayscale values ​​of all pixels in the first image. Then, the sum of the brightness data I1 of the laser spot on the surface of the solar cell in the second image is measured and stored. In some preferred embodiments of the present invention, I1 may also be the sum of the grayscale values ​​of all pixels in the second image. The light recovery efficiency is calculated by the formula η=I0 / I1, where η is the light recovery efficiency.

[0082] Furthermore, in some preferred embodiments of the present invention, the step of determining the light spot brightness data based on the image includes: segmenting the image, extracting the light spot of the segmented image; obtaining the grayscale value of the light spot; and determining the light spot brightness data based on the grayscale value of the light spot.

[0083] Specifically, in order to accurately analyze these light spots, image segmentation must be performed first. Image segmentation is a process of dividing an image into multiple parts or pixel blocks, with the purpose of simplifying or changing the expression of the image to make it easier to analyze. In the embodiment of the invention, image segmentation is mainly performed based on the contrast difference between the light spot and the background. Through algorithm processing, the system automatically identifies and segments the area containing the light spot, preparing for subsequent light spot extraction and analysis.

[0084] After the image segmentation is completed, the next step is to extract the light spots in the segmented image. This step is mainly to further isolate the segmented light spot area from the overall image to facilitate a more detailed analysis. During the extraction process, the system will perform precise cropping and extraction based on the specific form and characteristics of the light spot, such as size, shape, and boundary information. This ensures the accuracy and relevance of subsequent brightness data analysis.

[0085] After extracting the individual spot images, the next step is to obtain the grayscale values ​​of these spots. In digital image processing, the grayscale value represents the brightness level of each pixel in the image. In this system, the circuit board calculates the grayscale values ​​of all pixels in the spot area. Usually, the grayscale value ranges from 0 (pure black) to 255 (pure white), where the higher the value, the brighter the pixel. By statistically analyzing the grayscale values ​​of all pixels in the spot area, the original numerical basis can be provided for the next step of brightness data calculation, or the sum of the grayscale values ​​of the pixels in the spot can be directly used as the spot brightness data.

[0086] Furthermore, in some preferred embodiments of the present invention, the step of performing spot extraction on the segmented image includes: performing spot edge detection on the segmented image to extract the contour of the spot; and determining the spot based on the contour of the spot.

[0087] Specifically, the system will perform spot edge detection on the segmented image. This step uses digital image processing technology to identify and locate the edge of the spot. The edge detection algorithm can detect points in the image where the brightness changes significantly. These points usually mark the boundaries between different objects or different parts of the same object. In this system, edge detection is mainly used to identify the boundary between the spot and the background or other non-spot areas. By applying operators such as Canny, Sobel or Laplacian, the system can generate an image that highlights the edge of the spot.

[0088] Once edge detection is completed, the next step is to extract the contour of the light spot based on the detected edges. This step involves connecting the edges to form closed contour lines, thereby accurately defining the area of ​​the light spot. This process may require the application of some image processing algorithms, such as edge tracking or contour finding algorithms, to ensure that all edges are correctly connected. The extracted light spot contour should be a clear, continuous line that depicts the actual shape and size of the light spot.

[0089] With the outline of the light spot, the system can determine the specific location and area of ​​the light spot based on this outline. This step usually involves marking all the pixels within the outline for subsequent processing and analysis. In some systems, the pixels within the outline may be further processed, such as binarization, so that the light spot area and non-light spot area can be more clearly distinguished. Ultimately, the system generates an accurate binary mask in which the light spot area is marked as "1" (or other specific value) and the non-light spot area is marked as "0".

[0090] In some preferred embodiments of the present invention, after the step of segmenting the image to obtain the segmented image, the method further comprises: performing seam removal processing on the segmented image.

[0091] Specifically, the system needs to identify the seam areas in the image. These seams usually form visible lines on the surface of the solar cell module, which may interfere with the detection and analysis of the light spot. By applying image analysis techniques such as edge detection, texture analysis or grayscale transition, the system can automatically identify the exact location and range of these seams.

[0092] After the seam areas are identified, the next step is to use image processing algorithms to remove or mitigate the effects of these seams. Specific methods may include image restoration techniques such as content-based image restoration (CBI) or other advanced image processing algorithms. These algorithms can intelligently fill the pixels of the seam areas to blend them with the surrounding background, or directly adjust the pixel values ​​of these areas to a level close to the background, thereby visually eliminating the effect of the seams.

[0093] See also Figure 5The embodiment of the present invention provides a schematic image of a battery before seam removal and Figure 6 The above-mentioned embodiment of the present invention provides a schematic diagram after removing the stitching area. It can be seen that after the stitching area is removed, the image transition is softer and the error in the light efficiency calculation is greatly reduced.

[0094] In some preferred embodiments of the present invention, the system can be based on Java and OpenCV, and the digital image processing flow of the effective light spot, wherein the image segmentation module is completed based on the Mean-Shift algorithm, and the target image area is quickly identified and segmented through the laser spot distribution density, and the seam area detection and subtraction is mainly based on the GrabCut algorithm, which quickly identifies the seam edge and removes the alternating area between the two seam edges, thereby realizing the effective identification and extraction of the surface area of ​​the solar cell.

[0095] In some preferred embodiments of the present invention, red laser is used for detection, and the red channel image of the target image can be extracted based on the Java algorithm to prepare for other data processing operations such as brightness calculation. Figure 7 The embodiment of the present invention shown is a schematic diagram of a grayscale image of a light spot detected based on a red light spot area, and the image is used for extracting red brightness data based on OpenCV.

[0096] The embodiment of the present invention provides a light recovery efficiency detection method, which realizes convenient and non-destructive quantitative detection of the spectral light efficiency of the solar cell module. Through digital data processing, error correction and compensation are convenient, with high accuracy and good anti-interference ability. The product's portable module structure is combined with digital data processing, with large space for function upgrade and expansion and a wide range of applications.

[0097] Embodiment 3

[0098] On the basis of the above-mentioned embodiments, an embodiment of the present invention provides a light recovery efficiency detection device, which is applied to a controller 10 of a photoelectric detection system. The photoelectric detection system includes: a laser 30 , an industrial camera 20 and a controller 10 .

[0099] See also Figure 8 The structure diagram of a light recovery efficiency detection device provided by an embodiment of the present invention is shown, and the device includes:

[0100] The first light beam processing module 310 is used to emit a first light beam through the laser 30 to irradiate the surface of the solar cell module to form a first light spot;

[0101] A first image processing module 320, configured to capture a first light spot through the industrial camera 20, and determine an image containing the first light spot as a first image;

[0102] The second light beam processing module 330 is used to emit a second light beam through the laser 30 to illuminate the gap between the two groups of solar cell modules to form a second light spot; wherein the diameter of the first light beam is equal to the diameter of the second light beam;

[0103] A second image processing module 340 is used to capture a second light spot through the industrial camera 20 and determine an image containing the second light spot as a second image;

[0104] The light recycling efficiency determination module 350 is configured to determine the light recycling efficiency based on the first image and the second image.

[0105] Furthermore, in some preferred embodiments of the present invention, the light recovery efficiency determination module 350 is used to determine the brightness data of the first light spot based on the first image; determine the brightness data of the second light spot based on the second image; and determine the light recovery efficiency based on the brightness data of the second light spot and the brightness data of the first light spot.

[0106] Furthermore, in some preferred embodiments of the present invention, the first image processing module 320 or the second image processing module 340 is used to segment the image, extract the light spot of the segmented image; obtain the grayscale value of the light spot; and determine the light spot brightness data based on the grayscale value of the light spot.

[0107] Furthermore, in some preferred embodiments of the present invention, the first image processing module 320 or the second image processing module 340 is used to perform spot edge detection on the segmented image to extract the contour of the spot; and determine the spot based on the contour of the spot.

[0108] Furthermore, in some preferred embodiments of the present invention, the device further comprises: a seam removal processing module, which is used to perform seam removal processing on the segmented image.

[0109] Furthermore, in some preferred embodiments of the present invention, the photoelectric detection system also includes: an adjusting lens 600; the adjusting lens 600 is arranged on the optical path of the laser emitted by the laser 30; the adjusting lens 600 is used to adjust the diameter of the first light beam or the second light beam.

[0110] Furthermore, in some preferred embodiments of the present invention, the photoelectric detection system further includes: a beam splitter 500 ; the beam splitter 500 is used to adjust the direction of the optical path of the laser light emitted by the laser 30 .

[0111] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the light recovery efficiency detection device described above can refer to the corresponding process in the aforementioned embodiment of the light recovery efficiency detection method, and will not be repeated here.

[0112] Embodiment 4

[0113] On the basis of the above embodiments, an embodiment of the present invention provides a controller 10 for executing the light recycling efficiency detection method provided in the above embodiments.

[0114] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the controller 10 described above can refer to the corresponding process in the embodiment of the aforementioned light recycling efficiency detection method, and will not be repeated here.

[0115] Embodiment 5

[0116] On the basis of the above embodiment, an embodiment of the present invention provides a photoelectric detection system, including a laser 30 , an industrial camera 20 and a controller 10 provided in the above embodiment; the laser 30 and the industrial camera 20 are both connected to the controller 10 .

[0117] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the photoelectric detection system described above can refer to the corresponding process in the embodiment of the aforementioned light recovery efficiency detection method, and will not be repeated here.

[0118] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention 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 replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting light recovery efficiency, characterized in that: A controller applied to a photoelectric detection system, the photoelectric detection system comprising: a laser, an industrial camera and a controller; The method comprises: The laser emits a first light beam to illuminate the surface of the solar cell module to form a first light spot; photographing the first light spot by using the industrial camera, and determining an image including the first light spot as a first image; The laser emits a second light beam to illuminate the gap between the two groups of solar cell modules to form a second light spot; wherein the diameter of the first light beam is equal to the diameter of the second light beam; photographing the second light spot by the industrial camera, and determining an image including the second light spot as a second image; A light recycling efficiency is determined based on the first image and the second image.

2. The light recycling efficiency detection method according to claim 1, characterized in that: The step of determining the light recycling efficiency based on the first image and the second image comprises: determining brightness data of the first light spot based on the first image; determining brightness data of the second light spot based on the second image; The light recycling efficiency is determined based on the brightness data of the second light spot and the brightness data of the first light spot.

3. The light recycling efficiency detection method according to claim 2, characterized in that: The step of determining the light spot brightness data based on the image comprises: Segment the image and extract the light spot of the segmented image; Obtaining a grayscale value of the light spot; The light spot brightness data is determined based on the grayscale value of the light spot.

4. The light recycling efficiency detection method according to claim 3, characterized in that: The step of performing spot extraction on the segmented image comprises: Performing spot edge detection on the segmented image to extract the outline of the spot; The light spot is determined based on a profile of the light spot.

5. The light recycling efficiency detection method according to claim 3, characterized in that: After the step of segmenting the image to obtain the segmented image, the method further comprises: The segmented image is subjected to seam removal processing.

6. The light recycling efficiency detection method according to claim 1, characterized in that: The photoelectric detection system further comprises: an adjustment lens; The adjusting lens is arranged on the optical path of the laser emitted by the laser; The adjusting lens is used to adjust the diameter of the first light beam or the second light beam.

7. The light recycling efficiency detection method according to claim 6, characterized in that: The photoelectric detection system further comprises: a beam splitter; The beam splitter is used to adjust the direction of the optical path of the laser light emitted by the laser.

8. A light recovery efficiency detection device, characterized in that: A controller applied to a photoelectric detection system, the photoelectric detection system comprising: a laser, an industrial camera and a controller; The device comprises: A first light beam processing module, used for emitting a first light beam through the laser to irradiate the surface of the solar cell module to form a first light spot; A first image processing module, configured to photograph the first light spot by using the industrial camera, and determine an image containing the first light spot as a first image; A second light beam processing module, used for emitting a second light beam through the laser to illuminate the gap between the two groups of solar cell modules to form a second light spot; wherein the diameter of the first light beam is equal to the diameter of the second light beam; A second image processing module, configured to photograph the second light spot by using the industrial camera, and determine an image containing the second light spot as a second image; The light recycling efficiency determination module is configured to determine the light recycling efficiency based on the first image and the second image.

9. A controller, characterized in that: Used to execute the light recovery efficiency detection method described in any one of claims 1 to 7 above.

10. A photoelectric detection system, characterized in that: Comprising a laser, an industrial camera and the controller as claimed in claim 9; The laser and the industrial camera are both connected to the controller.

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