Method and apparatus for solar cell color grading, and computer device and storage medium

Abstract

A method and apparatus for solar cell color grading, and a computer device, a storage medium and a computer program product. The method for solar cell color grading comprises: on the basis of collected images of solar cells to be sorted under a light source of a preset spectrum, acquiring color parameters of said solar cells (S100); and comparing the color parameters of said solar cells with preset grading intervals, so as to determine color levels of said solar cells, wherein the grading intervals correspond to the color levels of said solar cells on a one-to-one basis (S200).

Description

Solar cell color grading method, device, computer equipment and storage medium

[0001] Related applications

[0002] This application claims priority to Chinese patent application No. 2023114214518, filed on October 30, 2023, entitled “Solar Cell Color Grading Method, Apparatus, Computer Device, and Storage Medium,” the entire text of which is incorporated herein by reference. Technical Field

[0003] The present application relates to the technical field of solar cells, and in particular to a method, apparatus, computer device, storage medium, and computer program product for color grading of solar cells. Background Art

[0004] Solar cells, also known as photovoltaic cells, are semiconductor devices that convert sunlight directly into electricity. Because they are environmentally friendly and do not cause environmental pollution, and because solar energy is a renewable resource, solar cells are a new type of battery with broad development prospects.

[0005] Typically, solar cells are coated with an oxygen-containing anti-reflection coating to enhance short-wavelength light absorption and provide passivation, thereby increasing the solar cell's current and open-circuit voltage. However, due to uneven coating processes, the oxygen-containing anti-reflection coatings on different solar cells vary.

[0006] In the related art, ordinary LED light sources or RGB three-color light sources are often used to directly illuminate solar cells, and the image of the solar cells is captured by a camera. The color information of the solar cells is obtained based on the image, thereby determining the color of the solar cells. When the above method is used to detect the color of different solar cells with different oxygen-containing anti-reflection film layers, the detected colors may be the same, that is, the above method cannot accurately sort and grade the colors of different solar cells with different oxygen-containing anti-reflection film layers. When solar cells are encapsulated with glass and film to obtain photovoltaic modules, due to the filtering effect of the glass and film, a large amount of short-wavelength light is absorbed and cut off, resulting in different solar cells with different oxygen-containing anti-reflection film layers showing different colors in the module. This will reduce the aesthetics of the photovoltaic module on the one hand, and reduce the overall photoelectric conversion efficiency of the photovoltaic module on the other hand.

[0007] Summary of the Invention

[0008] According to various embodiments of the present application, a solar cell color grading method, apparatus, computer device, storage medium, and computer program product are provided.

[0009] An embodiment of the first aspect of the present application provides a solar cell color grading method, comprising:

[0010] Acquiring color parameters of the solar cells to be sorted based on collected images of the solar cells to be sorted under a light source of a preset spectrum;

[0011] The color parameters of the solar cells to be sorted are compared with pre-set binning intervals to determine the color level of the solar cells to be sorted, and each binning interval corresponds to the color level of the solar cells.

[0012] In some embodiments, the predetermined spectrum is determined by the following steps:

[0013] Determining an ambient spectrum, wherein the ambient spectrum is a range of ambient light wavelengths and an ambient light intensity;

[0014] Determining the transmittance of the encapsulation material used to encapsulate the solar cells to be sorted;

[0015] The preset spectrum is determined according to the ambient spectrum and transmittance, and the preset spectrum is the ambient spectrum × transmittance or the ambient spectrum × transmittance. 2 .

[0016] In some embodiments, the step of acquiring color parameters of the solar cells to be sorted based on the collected images of the solar cells to be sorted under a light source of a preset spectrum includes:

[0017] Acquire at least two first images of the solar cell to be sorted under a light source of a preset spectrum, each of the first images corresponding to an angle;

[0018] Obtaining first color models of the solar cells to be sorted at different angles based on the acquired first images, each of the first color models including a first component, a second component, and a third component;

[0019] The average values ​​of the first component, the second component, and the third component in each of the first color models are calculated to obtain first data, second data, and third data, and the color parameter of the solar cell to be sorted at each angle is determined to be one or both of the first data, the second data, and the third data.

[0020] In some embodiments, the binning interval corresponding to each color level includes at least a first binning interval and a second binning interval;

[0021] The step of comparing the color parameters of the solar cells to be sorted with the preset binning intervals to determine the color level of the solar cells to be sorted includes:

[0022] Comparing the color parameters of the to-be-sorted solar cell at each angle with the first-category binning interval and the second-category binning interval;

[0023] If the color parameters of the solar cell to be sorted at each angle fall into one of the following conditions:

[0024] The color parameters of the solar cells to be sorted at each angle fall within the first classification interval belonging to the same color level;

[0025] The color parameter of the solar cell to be sorted at each angle falls within the second classification interval belonging to the same color level; and

[0026] The color parameters of the solar cells to be sorted at each angle fall into the first binning interval and the second binning interval belonging to the same color level;

[0027] The color level of the solar cells to be sorted is determined.

[0028] In some embodiments, the wavelength of the light source of the preset spectrum is 380-780 nm, and the total light intensity of the light source is 5 W / m 2 ~200W / m 2 .

[0029] In some embodiments, in the light source of the preset spectrum, the light intensity ratio of blue light to green light is less than 1:1.1, and the light intensity ratio of blue light to red light is less than 1:1.2.

[0030] An embodiment of a second aspect of the present application provides a solar cell color grading device, comprising:

[0031] an acquisition module, configured to acquire color parameters of the solar cells to be sorted based on an image of the solar cells to be sorted under a light source of a preset spectrum;

[0032] The determination module is used to compare the color parameters of the solar cell to be sorted with each pre-set binning interval to determine the color level of the solar cell to be sorted, and each binning interval corresponds to the color level of the solar cell.

[0033] In some embodiments, the acquisition module includes:

[0034] A first acquisition subunit is configured to acquire at least two first images of the solar cell to be sorted under a light source of a preset spectrum, each of the first images corresponding to one angle;

[0035] a second acquisition subunit, configured to obtain first color models of the solar cells to be sorted at different angles according to the obtained first images, wherein each first color model includes a first component, a second component, and a third component;

[0036] A calculation and determination unit is used to respectively calculate the average values ​​of the first component, the second component, and the third component in each of the first color models to obtain first data, second data, and third data; and determine that the color parameter of the solar cell to be sorted at each angle is one or both of the first data, the second data, and the third data.

[0037] In some embodiments, the binning interval corresponding to each color level includes at least a first binning interval and a second binning interval;

[0038] The determination module includes:

[0039] a comparing unit, configured to compare the color parameters of the solar cell to be sorted at each angle with the first binning interval and the second binning interval;

[0040] A determining unit is configured to determine if the color parameter of the solar cell to be sorted at each angle falls under one of the following conditions:

[0041] The color parameters of the solar cells to be sorted at each angle fall within the first classification interval belonging to the same color level;

[0042] The color parameter of the solar cell to be sorted at each angle falls within the second classification interval belonging to the same color level; and

[0043] The color parameters of the solar cells to be sorted at each angle fall into the first binning interval and the second binning interval belonging to the same color level;

[0044] The color level of the solar cells to be sorted is determined.

[0045] An embodiment of a third aspect of the present application provides a solar cell color grading device, comprising:

[0046] An image acquisition mechanism, used to acquire images of the solar cells to be sorted under a light source of a preset spectrum;

[0047] A processing mechanism is connected to the image acquisition mechanism, and is used to obtain color parameters of the solar cells to be sorted based on the acquired images of the solar cells to be sorted under a light source of a preset spectrum; the processing mechanism is also used to compare the color parameters of the solar cells to be sorted with pre-set binning intervals to determine the color level of the solar cells to be sorted, and each binning interval corresponds to the color level of the solar cell.

[0048] An embodiment of a fourth aspect of the present application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the methods in the first aspect when executing the computer program.

[0049] An embodiment of the fifth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any one of the methods of the first aspect when the computer program is executed by a processor.

[0050] An embodiment of the sixth aspect of the present application provides a computer program product, including a computer program, which implements the steps of any one of the methods in the first aspect when executed by a processor.

[0051] The details of one or more embodiments of the present application are set forth in the accompanying drawings and the description below. Other features, objects, and advantages of the present application will become apparent from the description, drawings, and claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the conventional technology, the following briefly introduces the drawings required for use in the embodiments or the conventional technology descriptions. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the disclosed drawings without any creative work.

[0053] FIG1 is a flow chart of a solar cell color grading method in some embodiments of the present application.

[0054] FIG2 is a flow chart of a solar cell color grading method in some other embodiments of the present application.

[0055] FIG3 is a comparison graph of the standard spectrum and the cloudy sky spectrum.

[0056] FIG4 is a comparison graph of the cloudy spectrum and the cloudy spectrum after filtering by the packaging material.

[0057] FIG5 is a graph showing the relationship between the transmittance of the packaging material and the wavelength.

[0058] FIG6 shows the propagation path of light incident on a photovoltaic module.

[0059] FIG7 is a structural block diagram of a solar cell sorting device in some embodiments of the present application.

[0060] FIG8 is a structural block diagram of a solar cell sorting device in other embodiments of the present application.

[0061] FIG9 is a diagram showing the internal structure of a computer device in some other embodiments of the present application. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0063] In the description of this application, it should be understood that if the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. appear, the orientation or position relationship indicated by these terms is based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing this application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application.

[0064] In addition, if the terms "first" or "second" appear, these terms are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include at least one of such features. In the description of this application, if the term "plurality" appears, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0065] In this application, unless otherwise specified or limited, the terms "mounted," "connected," "connected," "fixed," etc., should be interpreted broadly. For example, these terms may refer to fixed connections, removable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediary; and internal communication between two components or interaction between two components, unless otherwise specified. Those skilled in the art will understand the specific meanings of these terms in this application based on the specific circumstances.

[0066] In this application, unless otherwise expressly specified or limited, if a first feature is described as being "above" or "below" a second feature, or similar descriptions, this may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Furthermore, when a first feature is described as being "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is described as being "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0067] It should be noted that if an element is referred to as being "fixed to" or "disposed on" another element, it may be directly on the other element or there may be an intermediate element. If an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be an intermediate element. If any, the terms "vertical", "horizontal", "upper", "lower", "left", "right" and similar expressions used in this application are for illustrative purposes only and do not represent the only embodiment.

[0068] Typically, solar cells are coated with an oxygen-containing anti-reflection coating to enhance short-wavelength light absorption and provide passivation, thereby increasing the solar cell's current and open-circuit voltage. However, due to uneven coating processes, the oxygen-containing anti-reflection coatings on different solar cells vary.

[0069] In the related art, a common LED light source or an RGB light source is often used to directly illuminate a solar cell. A camera is used to capture an image of the solar cell, and the color information of the solar cell is obtained based on the image to determine the color of the solar cell. However, when the above method is used to perform color detection on different solar cells with different oxygen-containing anti-reflection coatings, the detected colors may be the same. When the solar cells are encapsulated with glass and film to form a photovoltaic module, the different solar cells with different oxygen-containing anti-reflection coatings appear different colors within the module. The inventors have discovered that the reason for this phenomenon is that when a common LED light source or an RGB light source is used to directly illuminate a solar cell, the solar cell can receive light from multiple wavelengths, resulting in different solar cells with different oxygen-containing anti-reflection coatings appearing the same color when color detected. However, when the solar cell is encapsulated with glass and film to form a photovoltaic module, the filtering effect of the glass and film absorbs a large amount of short-wavelength light from the light source, resulting in different solar cells with different oxygen-containing anti-reflection coatings appearing different colors within the module. This reduces the accuracy of solar cell color sorting, making it impossible to accurately grade the color of the solar cells, thereby reducing the aesthetics of the photovoltaic module and the overall photoelectric conversion efficiency of the photovoltaic module.

[0070] Based on the above problems, the present application provides a solar cell color grading method, apparatus, computer equipment, storage medium and computer program product to improve the accuracy of solar cell color grading, thereby improving the aesthetics and photoelectric conversion efficiency of photovoltaic modules.

[0071] FIG1 shows a flow chart of a solar cell color grading method in some embodiments of the present application.

[0072] Please refer to Figure 1, a solar cell color grading method includes:

[0073] S100, obtaining color parameters of the solar cells to be sorted based on the collected images of the solar cells to be sorted under a light source of a preset spectrum;

[0074] S200 , comparing the color parameters of the solar cells to be sorted with the preset binning intervals to determine the color level of the solar cells to be sorted, wherein the binning intervals correspond to the color levels of the solar cells in a one-to-one manner.

[0075] It should be noted that the light source of the preset spectrum can be light from ambient light that passes through the glass and film to reach the surface of the solar cell to be sorted, after the solar cell to be sorted is encapsulated with glass and film to form a photovoltaic module. Alternatively, ambient light that passes through the glass and film to reach the surface of the solar cell to be sorted, is reflected from the surface of the solar cell to be sorted, and then is emitted through the glass and film. In this way, capturing an image of the solar cell to be sorted under the light source of the preset spectrum, that is, capturing an image of the solar cell to be sorted encapsulated in the photovoltaic module, thereby obtaining the color parameters of the solar cell to be sorted based on the captured image of the solar cell to be sorted under the light source of the preset spectrum, that is, the color parameters of the solar cell to be sorted encapsulated in the module, thereby truly testing the color and color level of the solar cell to be sorted in the module.

[0076] The solar cell color grading method provided in the embodiments of the present application obtains color parameters of the solar cells to be sorted based on collected images of the solar cells to be sorted under a light source of a preset spectrum, thereby accurately reflecting the color parameters of the solar cells to be sorted when packaged into a module. The color parameters of the solar cells to be sorted are compared with pre-set grading intervals to accurately determine the color level of the solar cells to be sorted when packaged into the module, thereby improving the accuracy of solar cell color grading, thereby ensuring the color consistency of the solar cells packaged into the photovoltaic module, and improving the aesthetics and photoelectric conversion efficiency of the photovoltaic module.

[0077] It is easy to observe the color difference between solar cells on cloudy days, and it is easier to achieve color grading of solar cells. The inventors found through research that the reason is that there is a big difference between the normal sunny day light spectrum and the cloudy day spectrum (as shown in Figure 3), and the cloudy day spectrum is similar to the spectrum of light that passes through the packaging material to reach the surface of the solar cell, and the spectrum of light that passes through the packaging material to reach the surface of the solar cell and is reflected on the surface of the solar cell and emitted through the glass and film (as shown in Figure 4). Therefore, it is easy to observe the color difference between solar cells on cloudy days, and it is easier to achieve color grading of solar cells. To this end, in order to improve the accuracy of color grading of solar cells to be sorted, when color grading the solar cells to be sorted, it is necessary to determine the spectrum of the light source irradiating the solar cells to be sorted, that is, the preset spectrum. The preset spectrum is determined by the following steps:

[0078] Determine the ambient spectrum, which is the range of ambient light wavelength and ambient light intensity;

[0079] Specifically, the ambient spectrum can be determined by a spectrometer.

[0080] Determining the transmittance of the encapsulation material 10 used to encapsulate the solar cells to be sorted;

[0081] The encapsulation material 10 refers to the material used to encapsulate the solar cells to be sorted into the assembly. As shown in FIG5 , the transmittance of the encapsulation material to light of different wavelengths is different, thereby affecting the spectrum of light that passes through the encapsulation material and reaches the surface of the solar cell, as well as the spectrum of light that passes through the encapsulation material and reaches the surface of the solar cell and is reflected on the surface of the solar cell and then emitted through the glass and adhesive film. Therefore, it is necessary to determine the transmittance of the encapsulation material used for the solar cells to be sorted. The encapsulation material 10 may include multiple film layers, and the transmittance of the encapsulation material 10 is equal to the product of the transmittances of the various film layers included in the encapsulation material 10. For example, as shown in FIG6 , the encapsulation material 10 may include glass 101 and adhesive film 102, and the transmittance of the encapsulation material 10 is equal to the product of the transmittance of the glass 101 and the transmittance of the adhesive film 102.

[0082] The preset spectrum is determined based on the ambient spectrum and transmittance. The preset spectrum is the ambient spectrum × transmittance or the ambient spectrum × transmittance. 2 .

[0083] As shown in FIG6 , light passes through the packaging material 10 and is incident on the surface of the solar cell to be sorted, and is reflected on the surface of the solar cell to be sorted and then emitted through the packaging material. Therefore, the spectrum of light that passes through the packaging material and reaches the surface of the solar cell is the ambient spectrum × transmittance; the spectrum of light that passes through the packaging material and reaches the surface of the solar cell and is reflected on the surface of the solar cell and then emitted through the glass and the film is the ambient spectrum × transmittance × transmittance, that is, the preset spectrum is the ambient spectrum × transmittance 2 In summary, the preset spectrum is the ambient spectrum × transmittance or the ambient spectrum × transmittance 2 .

[0084] Specifically, the preset spectrum includes a wavelength range and a light intensity range. The wavelength range is the ambient light wavelength range × transmittance or the ambient light wavelength range × transmittance. 2 , the light intensity range is the ambient light intensity range × transmittance or the ambient light intensity range × transmittance 2 .

[0085] In this embodiment, the transmittance of the packaging material used to package the solar cells to be sorted is determined by determining the ambient spectrum, and the product of the ambient spectrum and the transmittance or the ambient spectrum and the transmittance is determined. 2 The product of can determine the wavelength range and light intensity range of the preset spectrum, thereby determining the spectrum of light that passes through the packaging material and reaches the surface of the solar cell to be sorted, or the spectrum of light that passes through the packaging material and reaches the surface of the solar cell to be sorted and is reflected on the surface of the solar cell to be sorted and then emitted through the packaging material, so as to simulate the spectrum that actually passes through the packaging material and reaches the solar cell to be sorted, or the spectrum emitted from the module, thereby truly determining the color level of the solar cell to be sorted in the module, and improving the accuracy of solar cell color grading.

[0086] As shown in FIG. 2 , in some embodiments, in step S100 , the step of obtaining color parameters of the solar cells to be sorted based on the collected images of the solar cells to be sorted under a light source of a preset spectrum includes:

[0087] S110, acquiring at least two first images of the solar cell to be sorted under a light source of a preset spectrum, each first image corresponding to an angle;

[0088] S120, obtaining first color models of the solar cells to be sorted at different angles based on the acquired first images, each first color model including a first component, a second component, and a third component;

[0089] Specifically, the solar cells to be sorted correspond to a first color model at each angle.

[0090] S130, respectively calculating the average values ​​of the first component, the second component, and the third component in each first color model to obtain first data, second data, and third data, and determining that the color parameter of the solar cell to be sorted at each angle is one or both of the first data, the second data, and the third data.

[0091] It should be noted that the first color model can be one of the Lab color model and the HSV color model, and can be selected according to the circumstances. The Lab color model includes lightness L (Lightness), red-green a (Green-Red Axis), and yellow-blue b (Blue-Yellow Axis). When the first color model is the Lab color model, the first component, the second component, and the third component can be one of L, a, and b, respectively, and they are different. The HSV color model includes hue H (Hue), saturation S (Saturation), and value V (Value). When the first color model is the HSV color model, the first component, the second component, and the third component can be one of H, S, and V, respectively, and they are different.

[0092] In this embodiment, at least two first images of the solar cell to be sorted are acquired under a light source with a preset spectrum, with each first image corresponding to a specific angle. For example, at least two first images of the solar cell to be sorted are acquired from directly above and diagonally above the solar cell to be sorted. Based on each acquired first image, a first color model of the solar cell to be sorted at different angles is obtained. The average values ​​of the first, second, and third components of each first color model are calculated to obtain first data, second data, and third data. The color parameter of the solar cell at each angle is determined to be one or both of the first data, second data, and third data. Thus, the color parameters of the solar cell to be sorted at different angles can be determined. Based on the color parameters of the solar cell to be sorted at different angles, the color grade of the solar cell to be sorted can be more accurately determined, ensuring that the colors of multiple solar cells packaged in a photovoltaic module are consistent at the same angle, further improving the aesthetics and photoelectric conversion efficiency of the photovoltaic module.

[0093] As shown in FIG2 , in some embodiments, the binning interval corresponding to each color level includes at least a first binning interval and a second binning interval;

[0094] In step S200, the color parameters of the solar cells to be sorted are compared with the pre-set binning intervals to determine the color level of the solar cells to be sorted, including:

[0095] Comparing the color parameters of the solar cells to be sorted at each angle with the first binning interval and the second binning interval;

[0096] If the color parameters of the solar cell to be sorted at each angle fall into one of the following conditions:

[0097] The color parameters of the solar cells to be sorted at each angle fall into the first binning range of the same color level;

[0098] The color parameter of the solar cell to be sorted at each angle falls into the second binning interval belonging to the same color level; and

[0099] The color parameters of the solar cells to be sorted at each angle fall into the first binning interval and the second binning interval of the same color level;

[0100] Determine the color grade of the solar cells to be sorted.

[0101] In this embodiment, by comparing the color parameters of the solar cells to be sorted at each angle with the first binning interval and the second binning interval; if the color parameters of the solar cells to be sorted at each angle fall within the first binning interval belonging to the same color level; or, the color parameters of the solar cells to be sorted at each angle fall within the second binning interval belonging to the same color level; or, the color parameters of the solar cells to be sorted at each angle fall within the first binning interval and the second binning interval belonging to the same color level, the color level of the solar cells to be sorted can be further accurately determined, ensuring that the colors of the multiple solar cells packaged in the photovoltaic module are consistent at the same angle, thereby further improving the aesthetics and photoelectric conversion efficiency of the photovoltaic module.

[0102] In some embodiments, the wavelength of the light source of the preset spectrum is 380-780 nm, and the total light intensity of the light source is 5 W / m 2 ~200W / m 2 It is understood that the total light intensity of the light source refers to the sum of the light intensities of each wavelength in the range of 380 to 780 nm.

[0103] Furthermore, the total light intensity of the light source can be 30W / m 2 , 40W / m 2 , 50W / m 2 、60W / m 2 or 70W / m 2 , can be designed according to the situation.

[0104] In some embodiments, in the light source of the preset spectrum, the light intensity ratio of blue light to green light is less than 1:1.1, and the light intensity ratio of blue light to red light is less than 1:1.2.

[0105] Furthermore, the total light intensity of 450-480nm (blue light) can be 5W; the total light intensity of 500-560nm (green light) can be 10.6W, and the total light intensity of 605-700nm (red light) can be 14W.

[0106] As shown in FIG7 , an embodiment of the second aspect of the present application provides a solar cell color grading device, comprising:

[0107] An acquisition module 100 is configured to acquire color parameters of the solar cells to be sorted based on an image of the solar cells to be sorted under a light source of a preset spectrum;

[0108] The determination module 200 is used to compare the color parameters of the solar cells to be sorted with the preset binning intervals to determine the color level of the solar cells to be sorted, where each binning interval corresponds to the color level of the solar cells.

[0109] The solar cell color grading device provided in the embodiments of the present application uses an acquisition module 100 to obtain color parameters of the solar cells to be sorted based on images of the solar cells to be sorted under a light source of a preset spectrum, thereby accurately reflecting the color parameters of the solar cells to be sorted when packaged into a module. The determination module 200 compares the color parameters of the solar cells to be sorted with pre-set grading intervals to accurately determine the color level of the solar cells to be sorted when packaged into the module, thereby improving the accuracy of solar cell color grading, thereby ensuring the color consistency of the solar cells packaged into the photovoltaic module, and improving the aesthetics and photoelectric conversion efficiency of the photovoltaic module.

[0110] As shown in FIG7 , in some embodiments, the acquisition module 100 includes:

[0111] A first acquisition subunit 110 is configured to acquire at least two first images of the solar cell to be sorted under a light source of a preset spectrum, each first image corresponding to one angle;

[0112] A second acquisition subunit 120 is configured to obtain a plurality of first color models of the solar cells to be sorted at at least two angles according to the acquired first images, each first color model including a first component, a second component, and a third component;

[0113] The calculation and determination unit 130 is used to respectively calculate the average values ​​of the first component, the second component, and the third component in each first color model to obtain first data, second data, and third data; and determine the color parameter of the solar cell to be sorted at each angle as one or both of the first data, the second data, and the third data.

[0114] In this embodiment, a first acquisition sub-unit 110 acquires at least two first images of the solar cell to be sorted under a light source of a preset spectrum, each first image corresponding to a specific angle. A second acquisition sub-unit 120 obtains a first color model of the solar cell to be sorted at different angles based on the acquired first images. A calculation and determination unit 130 calculates the average values ​​of the first component, second component, and third component in each first color model to obtain first data, second data, and third data, and determines the color parameter of the solar cell at each angle as one or both of the first data, second data, and third data. Thus, the color parameters of the solar cell to be sorted at different angles can be determined. Based on the color parameters of the solar cell to be sorted at different angles, the color level of the solar cell to be sorted can be more accurately determined, ensuring that the colors of multiple solar cells packaged in a photovoltaic module are consistent at the same angle, further improving the aesthetics and photoelectric conversion efficiency of the photovoltaic module.

[0115] As shown in FIG7 , in some embodiments, the binning interval corresponding to each color level includes at least a first binning interval and a second binning interval;

[0116] The determination module 200 includes:

[0117] A comparison unit 210 is used to compare the color parameters of the solar cell to be sorted at each angle with the first binning interval and the second binning interval;

[0118] The determining unit 220 is configured to determine if the color parameter of the solar cell to be sorted at each angle falls under one of the following conditions:

[0119] The color parameters of the solar cells to be sorted at each angle fall within the first classification interval belonging to the same color level;

[0120] The color parameter of the solar cell to be sorted at each angle falls within the second classification interval belonging to the same color level; and

[0121] The color parameters of the solar cells to be sorted at each angle fall into the first binning interval and the second binning interval belonging to the same color level;

[0122] The color level of the solar cells to be sorted is determined.

[0123] In this embodiment, the color parameters of the solar cells to be sorted at each angle are compared with the first binning interval and the second binning interval by the comparison unit 210. The determination unit 220 determines the color level of the solar cells to be sorted when the color parameters of the solar cells to be sorted at each angle fall within the first binning interval of the same color level; or when the color parameters of the solar cells to be sorted at each angle fall within the second binning interval of the same color level; or when the color parameters of the solar cells to be sorted at each angle fall within the first binning interval and the second binning interval of the same color level. In this way, the color level of the solar cells to be sorted can be further accurately determined, ensuring that the colors of multiple solar cells packaged in a photovoltaic module are consistent at the same angle, thereby further improving the aesthetics and photoelectric conversion efficiency of the photovoltaic module.

[0124] As shown in FIG8 , an embodiment of the third aspect of the present application provides a solar cell color grading device, comprising:

[0125] An image acquisition mechanism 300 is used to acquire images of the solar cells to be sorted under a light source of a preset spectrum;

[0126] The processing mechanism 400 is connected to the image acquisition mechanism 300 and is used to obtain color parameters of the solar cells to be sorted based on the collected images of the solar cells to be sorted under a light source of a preset spectrum. The processing mechanism 400 is also used to compare the color parameters of the solar cells to be sorted with pre-set classification intervals to determine the color level of the solar cells to be sorted, and each classification interval corresponds to the color level of the solar cells.

[0127] The solar cell color grading device provided in the embodiment of the present application uses an image acquisition mechanism 300 to capture images of the solar cells to be sorted under a light source of a preset spectrum. A processing mechanism 400 obtains color parameters of the solar cells to be sorted based on the captured images of the solar cells to be sorted under a light source of the preset spectrum, thereby accurately reflecting the color parameters of the solar cells to be sorted when packaged into a module. The processing mechanism 400 compares the color parameters of the solar cells to be sorted with pre-set grading intervals to accurately determine the color level of the solar cells to be sorted when packaged into the module, thereby improving the accuracy of solar cell color grading, thereby ensuring the color consistency of the solar cells packaged into the photovoltaic module, and enhancing the aesthetics and photoelectric conversion efficiency of the photovoltaic module.

[0128] Each module in the aforementioned solar cell sorting apparatus can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor within a computer device in hardware form, or stored in a computer device memory in software form, allowing the processor to call and execute the corresponding operations of each module.

[0129] An embodiment of a fourth aspect of the present application provides a computer device, which may be a terminal, and whose internal structure diagram may be shown in Figure 9. The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via wired or wireless communication, and the wireless communication may be achieved via Wi-Fi, a mobile cellular network, NFC (near-field communication), or other technologies. When executed by the processor, the computer program implements a solar cell sorting method. The display unit of the computer device is used to form a visually visible image, and may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0130] Those skilled in the art will understand that the structure shown in Figure 9 is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0131] In some embodiments, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the methods of the first aspect when executing the computer program.

[0132] An embodiment of the fifth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any one of the methods of the first aspect when the computer program is executed by a processor.

[0133] An embodiment of the sixth aspect of the present application provides a computer program product, including a computer program, which implements the steps of any one of the methods in the first aspect when executed by a processor.

[0134] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0135] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0136] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A solar cell color grading method, characterized in that: include: Acquire color parameters of the solar cell to be sorted according to the collected image of the solar cell to be sorted under a light source of a preset spectrum; The color parameters of the solar cells to be sorted are compared with the preset binning intervals to determine the color level of the solar cells to be sorted, and each binning interval corresponds to the color level of the solar cells one by one.

2. The solar cell color grading method according to claim 1, characterized in that: The preset spectrum is determined by the following steps: Determine an ambient spectrum, wherein the ambient spectrum is a range of ambient light wavelengths and a range of ambient light intensity; Determining the transmittance of the encapsulation material used to encapsulate the solar cells to be sorted; The preset spectrum is determined according to the ambient spectrum and transmittance, wherein the preset spectrum is the ambient spectrum × transmittance or the ambient spectrum × transmittance. 2 .

3. The solar cell color grading method according to claim 1 or 2, characterized in that: The step of acquiring the color parameters of the solar cells to be sorted according to the collected images of the solar cells to be sorted under a light source of a preset spectrum comprises: Acquire at least two first images of the solar cell to be sorted under a light source of a preset spectrum, each of the first images corresponding to an angle; Obtaining first color models of the to-be-sorted solar cells at different angles according to the acquired first images, each of the first color models comprising a first component, a second component and a third component; The average values ​​of the first component, the second component and the third component in each of the first color models are calculated respectively to obtain first data, second data and third data, and the color parameter of the solar cell to be sorted at each angle is determined to be one or both of the first data, the second data and the third data.

4. The solar cell color grading method according to claim 3, characterized in that: The binning intervals corresponding to each color level at least include a first binning interval and a second binning interval; The step of comparing the color parameters of the solar cells to be sorted with the preset binning intervals to determine the color level of the solar cells to be sorted includes: Comparing the color parameters of the to-be-sorted solar cell at each angle with the first-category binning interval and the second-category binning interval; If the color parameters of the solar cell to be sorted at each angle fall into one of the following conditions: The color parameter of the solar cell to be sorted at each angle falls into the first color level in the same color level. A type of grading interval; The color parameter of the solar cell to be sorted at each angle falls within the second classification interval belonging to the same color level; and The color parameter of the solar cell to be sorted at each angle falls into the first classification interval and the second classification interval belonging to the same color level; The color level of the solar cells to be sorted is determined.

5. The solar cell color grading method according to any one of claims 1 to 4, characterized in that: The wavelength of the light source of the preset spectrum is 380-780nm, and the total light intensity of the light source is 5W / m 2 ~200W / m 2 .

6. The solar cell color grading method according to claim 5, characterized in that: In the light source of the preset spectrum, the light intensity ratio of blue light to green light is less than 1:1.1, and the light intensity ratio of blue light to red light is less than 1:1.

2.

7. A solar cell color grading device, characterized in that: include: An acquisition module, used to acquire color parameters of the solar cells to be sorted according to the collected images of the solar cells to be sorted under a light source of a preset spectrum; The determination module is used to compare the color parameters of the solar cell to be sorted with each pre-set binning interval to determine the color level of the solar cell to be sorted, and each binning interval corresponds to the color level of the solar cell.

8. The solar cell color grading device according to claim 7, characterized in that: The acquisition module comprises: A first acquisition subunit, used to acquire at least two first images of the solar cell to be sorted under a light source of a preset spectrum, each of the first images corresponding to an angle; A second acquisition subunit, configured to obtain first color models of the to-be-sorted solar cells at different angles according to the acquired first images, each of the first color models comprising a first component, a second component and a third component; A calculation and determination unit is used to respectively calculate the average values ​​of the first component, the second component and the third component in each of the first color models to obtain first data, second data and third data; and determine that the color parameter of the solar cell to be sorted at each angle is one or both of the first data, the second data and the third data.

9. The solar cell color grading device according to claim 8, characterized in that: The binning intervals corresponding to each color level at least include a first binning interval and a second binning interval; The determination module comprises: A comparison unit, used for comparing the color parameters of the to-be-sorted solar cell at each angle with the first-category binning interval and the second-category binning interval; A determination unit is used to determine if the color parameter of the solar cell to be sorted at each angle falls into one of the following conditions: The color parameters of the solar cells to be sorted at each angle fall into the first classification interval belonging to the same color level; The color parameter of the solar cell to be sorted at each angle falls within the second classification interval belonging to the same color level; and The color parameter of the solar cell to be sorted at each angle falls into the first classification interval and the second classification interval belonging to the same color level; The color level of the solar cells to be sorted is determined.

10. A solar cell color grading device, characterized in that: include: An image acquisition mechanism, used to acquire images of the solar cells to be sorted under a light source of a preset spectrum; A processing mechanism is connected to the image acquisition mechanism, and the processing mechanism is used to obtain the color parameters of the solar cell to be sorted according to the collected image of the solar cell to be sorted under the light source of the preset spectrum; the processing mechanism is also used to compare the color parameters of the solar cell to be sorted with each pre-set classification interval to determine the color level of the solar cell to be sorted, and each classification interval corresponds to the color level of the solar cell one by one.

11. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

13. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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