A recycling cutting algorithm for damaged solar cell pieces

Abstract

The application discloses a kind of to broken solar cell piece recycling cutting algorithm, comprising the following steps: S1, the image of broken solar cell piece to be processed is taken, called original image;S2, original image is reshaped and restored, and the center point coordinate of the image called reshaped image is obtained;S3, the region difference processing of reshaped image and original image is carried out, so that broken area image is obtained, and whether there is complete edge in original image according to broken area image is judged, if there is complete edge, then enter step S4, otherwise, the solar cell piece is determined as unrecoverable recycling and discarded, and the processing procedure of the solar cell piece is ended;S4, according to the complete edge determined in S3, find the cutting line corresponding to each complete edge, and the cutting line with the largest area left after segmentation in broken area image is taken as the finally determined cutting line;S5, the cutting of the solar cell piece is completed along the cutting line determined in step S4 by cutting equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of solar cell, in particular to a cutting algorithm for recycling broken solar cell. BACKGROUND

[0002] At present, crystalline silicon is still the main raw material of solar cell, which needs to go through more than 100 processes from silicon material to silicon rod, silicon ingot, and finally to solar cell. At the same time, in order to improve the performance of solar cell, some substances and materials that can improve its performance are usually added. Therefore, the production and manufacturing process of solar cell is extremely complex, which makes its cost high. With the development of solar cell towards high efficiency and thinning, it becomes more and more fragile. In the process of using the cell, improper operation of some human factors can easily cause collision and fragmentation, and some uncontrollable factors in outdoor working environment can also cause damage.

[0003] At present, the treatment methods for broken solar cell on the market can be divided into two categories, namely direct disposal and recycling. Some large solar cell manufacturers choose to directly dispose of the broken solar cell and do not recycle it, which causes waste of production materials and resources to some extent. In order to avoid the waste of solar cell caused by damage, the broken solar cell can be recycled. At present, the method of recycling the cell is to use manual slicing cutting, which mainly relies on manual experience to mark the slicing on the damaged part, and then uses a laser slicing machine to slice along the cutting line. However, for this manual processing method, there may be problems such as inaccurate slicing position marking and inclined cutting path along the slicing, which cannot maximize the cutting of complete solar cell from the broken cell, resulting in unsatisfactory recycling rate of solar cell. In addition, there are also disadvantages such as low efficiency and high labor intensity. SUMMARY

[0004] In order to solve the problems in the background art, the purpose of the present application is to provide a cutting algorithm for recycling broken solar cell.

[0005] In order to achieve the above purpose, the technical scheme adopted by the present application is as follows: a cutting algorithm for recycling broken solar cell, comprising the following steps:

[0006] S1, taking an image of the broken solar cell to be processed, referred to as the original image;

[0007] S2, using the edge contour of the original image taken in step S1 to reshape and restore the original image to obtain a rectangular solar cell image after reshaping and restoration, referred to as a reshaped image, and calculating the center point coordinates of the reshaped image;

[0008] S3, regionally differentiating the remolded image from the original image to obtain a damaged area image, and judging whether a complete edge exists in the original image according to the damaged area image, the complete edge referring to an area where the edge and the corresponding two chamfers in the original image are free of damage, if the complete edge exists, entering step S4, otherwise, judging that the solar cell is not recyclable and discarding it, and ending the processing procedure of the solar cell;

[0009] S4, finding a cutting line corresponding to each complete edge according to the complete edge determined in S3, each cutting line being parallel to the corresponding complete edge and being a line that can completely separate the damaged area image from the original image, and taking the cutting line that leaves the largest area after separating the damaged area image as the finally determined cutting line;

[0010] S5, completing the cutting of the solar cell along the cutting line determined in step S4 by a cutting device.

[0011] In some embodiments, in step S2, when the original image is restored to obtain the remolded image, the original image is fitted by a rectangular frame to find a rectangular frame that completely covers the original image and has the most coinciding parts with the edge profile of the original image, and the rectangular frame is taken as the remolded image.

[0012] In some embodiments, before step S1, there is further step S0: pre-establishing a plurality of different image templates by using a plurality of different models of standard solar cells;

[0013] And, after step S2 and before step S3, there is further step S2': matching the original image with the pre-established image templates, if the original image fails to match each image template, directly judging that the solar cell is not recyclable and discarding it, and ending the processing procedure of the solar cell;

[0014] If the original image matches the image template successfully, the image template that matches successfully is taken as a new remolded image and replaces the original remolded image, and then step S3 is entered.

[0015] In some embodiments, in step S0, when the image template of each standard solar cell is established:

[0016] First, save the complete image of the standard solar cell as an image template and save the related size information;

[0017] Then, select a rectangular frame of a preset size at a chamfer of the image template, so that the rectangular frame contains the shape profile at the chamfer, and save the image of the rectangular frame as a chamfer template.

[0018] In some embodiments, in step S2', when matching the original image with the pre-established image template, the following steps are performed:

[0019] First, a preliminary matching is performed, the center coordinates and the length of the longest side of the reshaped image corresponding to the original image are compared with the size information corresponding to each image template, and it is determined whether the preliminary matching is successful according to the comparison result. If there is no image template that is preliminarily matched successfully, it is directly determined that the original image fails to match the image template.

[0020] If there are several image templates that are preliminarily matched successfully, then the chamfer template corresponding to each preliminarily matched image template is extracted, and the original image is respectively matched with each chamfer template.

[0021] In some embodiments, in step S2', the step of matching the original image with any chamfer template includes the following steps:

[0022] Four rectangular regions are respectively cut from the four corners of the reshaped rectangular image, and the size of each rectangular region is the same as the preset size of the chamfer template. Then, the four rectangular regions are respectively intersected with the original image, so as to obtain four chamfer region images in the original image.

[0023] Then, it is determined whether each chamfer region image is matched successfully with the chamfer template by comparing the area and shape of each chamfer region image and the chamfer template.

[0024] In some embodiments, in step S2', after the chamfer matching of the original image with each chamfer template is completed, if there is no chamfer region image and chamfer template that are matched successfully, it is directly determined that the original image fails to match the image template.

[0025] If there is a chamfer region image and a chamfer template that are matched successfully, it indicates that the chamfer corresponding to the chamfer region image is a complete chamfer without damage, and it is further determined whether there are two adjacent complete chamfers.

[0026] If there are no two adjacent complete chamfers, it indicates that there is no complete edge in the original image, and it is still determined that the original image fails to match the image template.

[0027] If there are two adjacent complete chamfers, the edge between the two adjacent complete chamfers is taken as a suspected complete edge, all suspected complete edges are found, and it is determined that the original image matches the image template successfully. The image template that is matched successfully is taken as a new reshaped image and replaces the original reshaped image, and then step S3 is entered.

[0028] In some embodiments, in step S3, when it is determined whether there is a complete edge in the original image, the following steps are included:

[0029] Firstly, a rectangular region is established on the inside of each suspected complete edge of the remodeled image, and the width of each rectangular region is a preset value;

[0030] The damaged area image is intersected with the image of each rectangular region, and if the area of the intersected region is not greater than a preset threshold, it is determined that the edge corresponding to the rectangular region is a complete edge in the original image;

[0031] If the area of the region obtained by intersecting the damaged area image with the image of each rectangular region is greater than the preset threshold, it is determined that the original image does not have a complete edge.

[0032] Compared with the prior art, the beneficial effects of the present application are:

[0033] The cutting algorithm for recycling damaged solar cell pieces provided by the present application can recycle the damaged solar cell pieces after cutting, which can avoid the waste of solar cell pieces caused by damage, thereby saving resources and production costs; compared with the existing manual processing method, the cutting can be automatically completed after the cutting line is determined, which is fast, strong in applicability, good in uniformity, high in recycling rate, and can significantly reduce the labor intensity of workers. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 The step flowchart of the cutting algorithm for recycling damaged solar cell pieces provided by the present application is shown in the figure;

[0035] Figure 2 The schematic diagram of the damaged solar cell piece is shown in the figure;

[0036] Figure 3 The schematic diagram of the original image and the remodeled image of the damaged solar cell piece is shown in the figure;

[0037] Figure 4 The schematic diagram of another type of solar cell piece is shown in the figure;

[0038] Figure 5 The schematic diagram of another type of damaged solar cell piece is shown in the figure. DETAILED DESCRIPTION

[0039] In order to make the technical means, creative features, purposes and effects achieved by the present application easy to understand, the following will further describe how the present application is implemented in combination with the drawings and specific embodiments.

[0040] Referring to Figure 1 The present application provides a cutting algorithm for recycling damaged solar cell pieces, which comprises the following steps:

[0041] Firstly, in step S1, an image of the damaged solar cell to be processed, referred to as an original image, is taken. The types of damage to the solar cell are various, and reference is made to FIG. 1, which shows original images of solar cells in three different damaged conditions; in actual applications, the types of damage to the solar cell are more various, and only several common types of damaged patterns are depicted in the figure. Figure 2

[0042] Next, in step S2, the original image is reshaped and restored using the edge contour of the original image taken in step S1 to obtain a rectangular solar cell image after reshaping and restoration, referred to as a reshaped image, and the center point coordinates of the reshaped image are calculated.

[0043] Specifically, in step S2, the original image is reshaped and restored to obtain the reshaped image, and a rectangular frame is fitted to the original image to find a rectangular frame that completely covers the original image and has the most coinciding part with the edge contour of the original image, and the rectangular frame is taken as the reshaped image. Reference is made to FIG. 2, which shows a rectangular frame fitted to an original image of a damaged solar cell. Figure 3 Figure 3 The solid line part in FIG. 2 is the original image of the damaged solar cell, and the overall rectangle formed by combining the solid line part and the dashed line part is the reshaped image; it can be understood that the center of the rectangle is connected by the diagonal lines after the rectangular reshaped image is obtained, and the center point coordinates of the reshaped image can be calculated.

[0044] Then, in step S3, the reshaped image and the original image are subjected to region difference processing to obtain a damaged region image, and it is determined whether there is a complete edge in the original image according to the damaged region image, wherein the complete edge refers to a region where the edge and the corresponding two chamfers in the original image are free of damage; if there is a complete edge, step S4 is entered, otherwise the solar cell is determined to be unrecoverable and discarded, and the processing procedure for the solar cell is ended. For example, Figure 3 In FIG. 3, the triangle in the upper right corner is the damaged region image, and the bottom edge in the original image is the complete edge.

[0045] Specifically, in step S3, when it is determined whether there is a complete edge in the original image: first, a rectangular region is established inside each suspected complete edge of the reshaped image (if there is no other processing, the four edges of the rectangular reshaped image are all suspected complete edges), and the width of each rectangular region is a preset value; the damaged region image and the image of each rectangular region are intersected, and if the area of the region after intersection is not greater than a preset threshold, it is determined that the edge corresponding to the rectangular region is a complete edge in the original image; if the area of the region obtained after the damaged region image and the image of each rectangular region are intersected is greater than the preset threshold, it is determined that the original image does not have a complete edge.

[0046] ​​It can be understood that although the damage types of the solar cell pieces are diversified, the damage basically starts from the edge. In the present application, the solar cell piece is determined as unrecoverable only if the solar cell piece has no complete edge; and the solar cell piece is determined as recoverable as long as the solar cell piece has at least one complete edge. Through such setting, the waste of the solar cell piece is avoided as much as possible on the basis of ensuring the feasibility of the algorithm.

[0047] Thereafter, in step S4, the cutting line corresponding to each complete edge is found according to the complete edges determined in S3, each cutting line is a line parallel to the corresponding complete edge and can completely separate the damage area image from the original image, and the cutting line with the largest remaining area after the damage area image is separated is taken as the finally determined cutting line. As shown in Figure 2 , the dashed line in each original image in the figure is the corresponding cutting line.

[0048] S5, the cutting of the solar cell piece is completed by the cutting device along the cutting line determined in step S4. The cutting can be completed by a laser scribe machine.

[0049] It can be understood that in the present application, through such setting, the damage area can be completely separated by single cutting. Although compared with the scheme of artificial multiple cutting, the waste area may be increased; but the present application finds the cutting line with the largest remaining area before cutting, and the waste of the solar cell piece is avoided as much as possible on the basis of ensuring the feasibility of the algorithm.

[0050] At present, there is a kind of solar cell piece, the size of the chamfer is very small, so the overall shape can be regarded as a rectangle, Figure 2 and Figure 3 The damaged solar cell pieces shown in and are also rectangular before being damaged. For the damaged solar cell pieces with a rectangular original shape, the above scheme can be directly used to obtain the remodeling image, and the cutting is completed after the corresponding processing. However, there is another kind of solar cell piece, as shown in Figure 4 , the chamfer at the four corners of the solar cell piece is relatively large, Figure 5 is a schematic view of the solar cell piece when the solar cell piece has damage. It can be understood that for this kind of solar cell piece, the size of the chamfer is large enough, and it is not appropriate to regard it as a rectangle. At this time, the rectangular remodeling image may lead to a large error. Therefore, the present application further proposes the following improved scheme.

[0051] Preferably, before step S1, step S0 of pre-establishing a plurality of different image templates by using a plurality of different models of standard solar cell pieces is further included.

[0052] Specifically, in step S0, when establishing the image template of each standard solar cell, first, save the complete image of the standard solar cell as the image template and save the related size information; then select a rectangular frame of a preset size at one of the chamfers of the image template, so that the rectangular frame contains the shape profile at the chamfer, and save the image of the rectangular frame as the chamfer template.

[0053] It can be understood that in actual operation, the types of solar cell that need to be recycled are limited, so the standard solar cells of these types can be found in advance to establish the image template, which can include Figure 4 solar cells with larger chamfers shown in FIG. 2B, and further establish the chamfer template. It can be understood that the shapes and sizes of the four chamfers of the standard solar cell are the same, so only one chamfer needs to be selected to establish the chamfer template.

[0054] Then, as in the foregoing steps, perform step S2 to first obtain the reshaped image of the rectangle and the corresponding center point coordinates. It can be understood that for solar cells with larger chamfers, when performing step S2, the chamfer part is actually regarded as a damaged part, and the reshaped image of the rectangle is obtained accordingly.

[0055] Next, after step S2 and before step S3, step S2' is further included: matching the original image with the pre-established image template, if the original image fails to match with each image template, then directly determining that the solar cell is not recyclable and discarding it, ending the processing flow of the solar cell; if the original image matches with the image template, then using the image template that matches successfully as a new reshaped image and replacing the original reshaped image, and then entering step S3.

[0056] Specifically, in step S2', when matching the original image with the pre-established image template: first, perform preliminary matching, use the center coordinates of the reshaped image corresponding to the original image and the length of the longest side to compare with the size information corresponding to each image template, and determine whether the preliminary matching is successful according to the comparison result, if there is no image template that preliminarily matches successfully, then directly determine that the original image fails to match with the image template; if there are several image templates that preliminarily match successfully, then extract the chamfer template corresponding to each image template that preliminarily matches successfully, and perform chamfer matching of the original image with each chamfer template.

[0057] Further, in step S2', the step of matching the original image with any one chamfer template by chamfering specifically comprises: cutting four rectangular regions from the four corners of the reshaped rectangular image respectively, each rectangular region having the same preset size as the chamfer template, and then respectively performing intersection between the four rectangular regions and the original image to obtain four chamfer region images in the original image; and then judging whether each chamfer region image matches the chamfer template by comparing the area and shape of each chamfer region image and the chamfer template.

[0058] After the chamfer matching between the original image and each chamfer template is completed, if there is no matched chamfer region image and chamfer template, it is directly determined that the original image fails to match the image template; if there is a matched chamfer region image and chamfer template, it indicates that the chamfer corresponding to the chamfer region image is a complete chamfer without damage, and then it is further determined whether there are two adjacent complete chamfers.

[0059] If there are no two adjacent complete chamfers, it indicates that there is no complete edge in the original image, and it is still determined that the original image fails to match the image template; if there are two adjacent complete chamfers, an edge between the two adjacent complete chamfers is taken as a suspected complete edge, all suspected complete edges are found, and it is determined that the original image matches the image template successfully, the matched image template is taken as a new reshaped image and replaces the original reshaped image, and then step S3 is entered.

[0060] The chamfer of a solar cell is particularly important, and the cut solar cell should retain at least two complete chamfers, otherwise it may affect the normal charging and discharging function. Therefore, in the present application, for a solar cell with a larger chamfer, the completeness of the chamfer can be accurately judged through the above step S2', and then it is determined whether there are two adjacent complete chamfers, a suspected complete edge is selected, and then step S3 is entered for further determination of whether it is a complete edge.

[0061] The subsequent steps S3, S4 and S5 are the same as the above steps, and the only difference is that in step S3, the reshaped rectangular image in the original scheme is replaced by the matched image template, so that the reshaped image is more accurate and the error is reduced; and the suspected complete edge is selected in advance, so that in step S3, it is only necessary to determine whether the suspected complete edge is a complete edge, and it is not necessary to determine each edge.

[0062] In summary, the cutting algorithm for recycling damaged solar cell provided by the present application can recycle the damaged solar cell after cutting, can avoid the waste of solar cells caused by damage, and can save resources and production costs; and compared with the existing manual processing method, the cutting can be automatically completed after the cutting line is determined, the speed is fast, the applicability is strong, the uniformity is good, the recycling rate is high, and the labor intensity of the workers can be significantly reduced.

[0063] Finally, it is to be pointed out that the above embodiments are only used to illustrate the technical solutions of the present application but not to limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced without departing from the purpose and scope of the present application, and all of them should be covered in the scope of the claims of the present application.

Claims

1. A cutting algorithm for reusing broken solar cell pieces, characterized in that, The method comprises the following steps: S1, taking an image of a damaged solar cell to be processed, referred to as an original image; S2, using the edge profile of the original image taken in step S1 to reshape and restore the original image to obtain a reshaped and restored rectangular solar cell image, referred to as a reshaped image, and to obtain the center point coordinates of the reshaped image; S3, performing region difference processing on the reshaped image and the original image to obtain a damaged area image, and determining whether there is a complete edge in the original image according to the damaged area image, wherein the complete edge refers to an edge in the original image and the area where the two corresponding chamfers are located without damage, if there is a complete edge, then step S4 is entered, otherwise, the solar cell is determined to be non-recyclable and is discarded, and the processing flow of the solar cell is ended; S4, according to the complete edge determined in S3, finding the cutting line corresponding to each complete edge, each cutting line is parallel to the corresponding complete edge and can completely separate the damaged area image from the original image, and the cutting line with the largest area after separating the damaged area image is determined as the final cutting line; S5, completing the cutting of the solar cell along the cutting line determined in step S4 by a cutting device; In step S3, when determining whether there is a complete edge in the original image, the following steps are included: First, a rectangular area is established inside each suspected complete edge of the reshaped image, and the width of each rectangular area is a preset value; The damaged area image is intersected with the image of each rectangular area, and if the area after intersection is not greater than a preset threshold, it is determined that the edge corresponding to the rectangular area is a complete edge in the original image; If the area obtained after the damaged area image is intersected with the image of each rectangular area is greater than the preset threshold, it is determined that the original image does not have a complete edge. 2.The algorithm for recycling cutting of broken solar cell according to claim 1, wherein, In step S2, the original image is reshaped and restored to obtain a reshaped image, and the original image is fitted by a rectangular frame to find a rectangular frame that completely covers the original image and has the most overlapping part with the edge profile of the original image, and the rectangular frame is used as the reshaped image. 3.The algorithm for reusing cutting of broken solar cell according to claim 1, wherein, Before step S1, step S0 is further included: a plurality of different image templates are pre-established by using a plurality of different types of standard solar cells; And after step S2 and before step S3, step S2' is further included: the original image is matched with the pre-established image template, if the original image fails to match with each image template, the solar cell is directly determined to be non-recyclable and is discarded, and the processing flow of the solar cell is ended; If the original image matches with the image template, the image template that matches successfully is used as a new reshaped image and replaces the original reshaped image, and then step S3 is entered.

4. The algorithm for reusing the cutting of the broken solar cell according to claim 3, wherein, In step S0, when establishing the image template of each standard solar cell: First, save the complete image of the standard solar cell as an image template and save the related size information; Then a rectangular frame with a preset size is selected at a chamfer of the image template, the rectangular frame contains the shape profile at the chamfer, and the image of the rectangular frame is saved as a chamfer template.

5. The algorithm for recycling cutting of broken solar cell according to claim 4, wherein, In step S2', when the original image is matched with the pre-established image template: First, a preliminary matching is performed, the center coordinates and the length of the longest side of the remolded image corresponding to the original image are compared with the size information corresponding to each image template, and whether the preliminary matching is successful is determined according to the comparison result, if there is no image template that is preliminarily matched successfully, it is directly determined that the original image and the image template are matched unsuccessfully; If there are several image templates that are preliminarily matched successfully, then the chamfer template corresponding to each image template that is preliminarily matched successfully is extracted, and the original image is matched with each chamfer template. 6.The algorithm for recycling cutting of broken solar cell according to claim 5, wherein, In step S2', the step of matching the original image with any chamfer template includes: Four rectangular regions are respectively cut from the four corners of the remolded image, the size of each rectangular region is the same as the preset size of the chamfer template, then the four rectangular regions are respectively intersected with the original image, so that four chamfer region images in the original image are obtained; Then, whether each chamfer region image and the chamfer template are matched successfully is determined by comparing the area and shape of each chamfer region image and the chamfer template.

7. The algorithm for reusing the cutting of the broken solar cell according to claim 6, wherein, In step S2', after the chamfer matching of the original image and each chamfer template is completed, if there is no chamfer region image and chamfer template that are matched successfully, it is directly determined that the original image and the image template are matched unsuccessfully; If there are chamfer region images and chamfer templates that are matched successfully, it means that the chamfer corresponding to the chamfer region image is a complete chamfer without damage, then whether there are two adjacent complete chamfers is determined; If there are no two adjacent complete chamfers, it means that there is no complete edge in the original image, and it is still determined that the original image and the image template are matched unsuccessfully; If there are two adjacent complete chamfers, the edge between the two adjacent complete chamfers is taken as a suspected complete edge, all suspected complete edges are found, and it is determined that the original image and the image template are matched successfully, the image template that is matched successfully is taken as a new remolded image and replaces the original remolded image, and then step S3 is entered.

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