CN108365051A - A kind of method of solar battery sheet track removal - Google Patents

A kind of method of solar battery sheet track removal Download PDF

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Publication number
CN108365051A
CN108365051A CN201810113201.0A CN201810113201A CN108365051A CN 108365051 A CN108365051 A CN 108365051A CN 201810113201 A CN201810113201 A CN 201810113201A CN 108365051 A CN108365051 A CN 108365051A
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China
Prior art keywords
image
basis
solar battery
battery sheet
track
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Granted
Application number
CN201810113201.0A
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Chinese (zh)
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CN108365051B (en
Inventor
苏斌义
文�熙
张红伟
赵丽
王玉
胡洁
崔海根
樊雷雷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hebei University of Technology
Tianjin Yingli New Energy Resource Co Ltd
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Hebei University of Technology
Tianjin Yingli New Energy Resource Co Ltd
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Priority to CN201810113201.0A priority Critical patent/CN108365051B/en
Publication of CN108365051A publication Critical patent/CN108365051A/en
Application granted granted Critical
Publication of CN108365051B publication Critical patent/CN108365051B/en
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    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L31/00Semiconductor devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation; Processes or apparatus specially adapted for the manufacture or treatment thereof or of parts thereof; Details thereof
    • H01L31/18Processes or apparatus specially adapted for the manufacture or treatment of these devices or of parts thereof
    • H01L31/1804Processes or apparatus specially adapted for the manufacture or treatment of these devices or of parts thereof comprising only elements of Group IV of the Periodic System
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L22/00Testing or measuring during manufacture or treatment; Reliability measurements, i.e. testing of parts without further processing to modify the parts as such; Structural arrangements therefor
    • H01L22/10Measuring as part of the manufacturing process
    • H01L22/12Measuring as part of the manufacturing process for structural parameters, e.g. thickness, line width, refractive index, temperature, warp, bond strength, defects, optical inspection, electrical measurement of structural dimensions, metallurgic measurement of diffusions
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/547Monocrystalline silicon PV cells
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P70/00Climate change mitigation technologies in the production process for final industrial or consumer products
    • Y02P70/50Manufacturing or production processes characterised by the final manufactured product

Abstract

The method that the present invention proposes the removal of solar battery sheet track, this method are suitable for the scene of solar battery sheet defects detection.Gradation conversion is carried out to original image first, original image is converted into gray level image;Gray level image is subjected to top cap transformation again, main gate line is extracted;Main gate line and horizontal direction angulation are calculated again, rotation transformation is carried out according to this angle, obtain rotation positive image;Again to revolving positive image thresholding, the image after thresholding is obtained;Image geometry operation and morphology operations are carried out to the image after thresholding again, to obtain the image after track removal.The present invention can be effectively removed track in engineering practice, can remove influence of the track to defects detection.

Description

A kind of method of solar battery sheet track removal
Technical field
The present invention relates to photovoltaic cell defect detecting technique field, a kind of solar battery sheet track removal is related generally to Method.
Background technology
With the continuous development of science and technology, the application of solar energy is more and more wider.In new energy field, we pass through photoelectricity The principle of conversion, electric energy is converted by clean solar energy, and the endlessly energy is provided for us.Currently, photovoltaic industry is sent out Exhibition is rapid, and annual growth is 20% or so.These cell pieces produced seek to be detected its quality first, battery The quality of piece affects its service life used, stability and photoelectric conversion efficiency, and traditional manual sorting can no longer meet The market demand.
Photovoltaic cell in stacking, be laminated, frame up, clean etc. in production processes, can cause to occur inside solar panel various The defect of type, these defects have seriously affected the quality of cell piece.The technology of machine vision has been widely applied to lack Fall into the field of detection, but what these technologies were directed to is all that surface texture is distributed relatively uniform defect.It is led in solar battery sheet The surface texture feature in domain, polysilicon is complicated, and segmental defect is easy to be influenced by lattice.Defect of polysilicon detects always It is exactly the difficult point of machine vision defects detection.
At present in solar battery sheet defects detection field, needed before the defects of handling chipping, grid line offset, unfilled corner The influence of track is excluded completely, and the defects of preventing chipping, unfilled corner generates flase drop at track, and therefore, it is necessary to remove track.
It is described that how a kind of method of solar battery sheet track removal is provided, it is applied in cell piece detection, solves existing There is deficiency present in technology, is that those skilled in the art want technical barrier urgently to be resolved hurrily.
Invention content
In view of this, the present invention provides a kind of methods of solar battery sheet track removal.It solves in the prior art Various deficiencies, concrete scheme are as follows:
A kind of method of solar battery sheet track removal, this method includes two step units:
The first step:Image preprocessing
The RGB image of the cell piece of industrial camera acquisition is converted to gray level image by 1-1, gray scale conversion;
The gray level image is carried out top cap transformation, by the gray level image by 1-2, top cap transformation on the basis of step 1-1 Grid region extract;
1-3, Threshold segmentation, on the basis of step 1-2, by the grid region thresholding;
1-4, opening operation, on the basis of step 1-3, by morphology operations opening operation, using first corroding the method expanded afterwards, The auxiliary grid line for eliminating the grid region, retains the main gate line of the grid region;
1-5, connected domain is formed, Feature Selection, will be described by forming connected domain and Feature Selection on the basis of step 1-4 Main gate line screens;
1-6, the main coral line and horizontal direction angulation are calculated, on the basis of step 1-5, by calculating every main coral Line and horizontal direction angulation, then the first moment about the origin of described every main coral line is sought, the cell piece is obtained relative to level The deviation angle in direction;
1-7, image rotation, according to the value of the deviation angle, rotate image on the basis of step 1-6, to obtain Image after rotation just;
Second step:Track removes
2-1, on the basis of step 1-7, generate a rectangular area that track can be completely covered;
2-2, gray processing, thresholding, filling carry out gray processing, threshold on the basis of step 1-7 to the image after the rotation just Value, filling processing, to the rotation positive image region after being filled;
2-3, intersection is taken, on the basis of step 2-1, step 2-2, takes the rectangular area and the rotation positive image after the filling The intersection in region, obtains intersection area;
2-4, work are poor, on the basis of step 2-3, subtract what step 2-3 was obtained by the rectangular area that step 2-1 is obtained The intersection area, to obtain difference region;
2-5, closed operation, by the difference region with the closed operation for first expanding post-etching, make it on the basis of step 2-4 Form closed area;
2-6, by Morphological scale-space, on the basis of step 1-7, step 2-5 corresponding to image after the rotation just is obtained The closed area painted white, obtain completely removing the positive battery picture of rotation after track.
Specifically, the cell piece that the solar battery sheet size that this granting is applicable in is 156mm * 156mm detects.
Specifically, the RGB image size of the cell piece of the industrial camera acquisition is 2456*2054.
Specifically, in step 1-2, it is used as the length of the structural element of top cap transformation and wide 20 ~ 50.
Specifically, in step 1-3, ranging from the 100 ~ 250 of thresholding.
Specifically, in step 1-4, the length of the opening operation and wide range are 5 ~ 20.
Specifically, in step 2-1, the width of the rectangular area is 600-900.
Specifically, the length of the rectangular area described in step 2-1 is 2465.
Specifically, in step 2-5, the length of the closed operation and it is wide be greater than it is wider than the track.
Specifically, a length of the 600 ~ 800 of the closed operation, the width of the closed operation is 250 ~ 300.
What this algorithm relied on is HDevelope softwares, version 13 editions.Non- tape unit is pixel value in this method, this Track can be removed by above step and condition, feasibility is provided for subsequent defects detection by invention well, be improved The verification and measurement ratio of subsequent defective detection reduces the omission factor and false drop rate of subsequent defective detection.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is required attached drawing in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only the present invention Some embodiments for those of ordinary skill in the art without creative efforts, can also basis These attached drawings obtain other attached drawings.
Fig. 1 is the flow chart of detection method.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
Fig. 1 is the flow chart of detection method, and shown referring to Fig.1, a kind of solar cell is claimed in the present invention The method of piece track removal, this method include two step units:
The first step:Image preprocessing
The RGB image of the cell piece of industrial camera acquisition is converted to gray level image by 1-1, gray scale conversion;
The gray level image is carried out top cap transformation, by the gray level image by 1-2, top cap transformation on the basis of step 1-1 Grid region extract;
1-3, Threshold segmentation, on the basis of step 1-2, by the grid region thresholding;
1-4, opening operation, on the basis of step 1-3, by morphology operations opening operation, using first corroding the method expanded afterwards, The auxiliary grid line for eliminating the grid region, retains the main gate line of the grid region;
1-5, connected domain is formed, Feature Selection, will be described by forming connected domain and Feature Selection on the basis of step 1-4 Main gate line screens;
1-6, the main coral line and horizontal direction angulation are calculated, on the basis of step 1-5, by calculating every main coral Line and horizontal direction angulation, then the first moment about the origin of described every main coral line is sought, the cell piece is obtained relative to level The deviation angle in direction;
1-7, image rotation, according to the value of the deviation angle, rotate image on the basis of step 1-6, to obtain Image after rotation just;
Second step:Track removes
2-1, on the basis of step 1-7, generate a rectangular area that track can be completely covered;
2-2, gray processing, thresholding, filling carry out gray processing, threshold on the basis of step 1-7 to the image after the rotation just Value, filling processing, to the rotation positive image region after being filled;
2-3, intersection is taken, on the basis of step 2-1, step 2-2, takes the rectangular area and the rotation positive image after the filling The intersection in region, obtains intersection area;
2-4, work are poor, on the basis of step 2-3, subtract what step 2-3 was obtained by the rectangular area that step 2-1 is obtained The intersection area, to obtain difference region;
2-5, closed operation, by the difference region with the closed operation for first expanding post-etching, make it on the basis of step 2-4 Form closed area;
2-6, by Morphological scale-space, on the basis of step 1-7, step 2-5 corresponding to image after the rotation just is obtained The closed area painted white, obtain completely removing the positive battery picture of rotation after track.
Specifically, the cell piece that the solar battery sheet size that this granting is applicable in is 156mm * 156mm detects.
Specifically, the RGB image size of the cell piece of the industrial camera acquisition is 2456*2054.
Specifically, in step 1-2, it is used as the length of the structural element of top cap transformation and wide 20 ~ 50.
Specifically, in step 1-3, ranging from the 100 ~ 250 of thresholding.
Specifically, in step 1-4, the length of the opening operation and wide range are 5 ~ 20.
Specifically, in step 2-1, the width of the rectangular area is 600-900.
Specifically, the length of the rectangular area described in step 2-1 is 2465.
Specifically, in step 2-5, the length of the closed operation and it is wide be greater than it is wider than the track.
Specifically, a length of the 600 ~ 800 of the closed operation, the width of the closed operation is 250 ~ 300.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited in above-mentioned specific Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much Form, all of these belong to the protection of the present invention.

Claims (10)

1. a kind of method of solar battery sheet track removal, this method includes two step units:
The first step:Image preprocessing
The RGB image of the cell piece of industrial camera acquisition is converted to gray level image by 1-1, gray scale conversion;
The gray level image is carried out top cap transformation, by the gray level image by 1-2, top cap transformation on the basis of step 1-1 Grid region extract;
1-3, Threshold segmentation, on the basis of step 1-2, by the grid region thresholding;
1-4, opening operation, on the basis of step 1-3, by morphology operations opening operation, using first corroding the method expanded afterwards, The auxiliary grid line for eliminating the grid region, retains the main gate line of the grid region;
1-5, connected domain is formed, Feature Selection, will be described by forming connected domain and Feature Selection on the basis of step 1-4 Main gate line screens;
1-6, the main coral line and horizontal direction angulation are calculated, on the basis of step 1-5, by calculating every main coral Line and horizontal direction angulation, then the first moment about the origin of described every main coral line is sought, the cell piece is obtained relative to level The deviation angle in direction;
1-7, image rotation, according to the value of the deviation angle, rotate image on the basis of step 1-6, to obtain Image after rotation just;
Second step:Track removes
2-1, on the basis of step 1-7, generate a rectangular area that track can be completely covered;
2-2, gray processing, thresholding, filling carry out gray processing, threshold on the basis of step 1-7 to the image after the rotation just Value, filling processing, to the rotation positive image region after being filled;
2-3, intersection is taken, on the basis of step 2-1, step 2-2, takes the rectangular area and the rotation positive image after the filling The intersection in region, obtains intersection area;
2-4, work are poor, on the basis of step 2-3, subtract what step 2-3 was obtained by the rectangular area that step 2-1 is obtained The intersection area, to obtain difference region;
2-5, closed operation, by the difference region with the closed operation for first expanding post-etching, make it on the basis of step 2-4 Form closed area;
2-6, by Morphological scale-space, on the basis of step 1-7, step 2-5 corresponding to image after the rotation just is obtained The closed area painted white, obtain completely removing the positive battery picture of rotation after track.
2. a kind of method of solar battery sheet track removal according to claim 1, it is characterised in that:The applicable sun Energy cell piece size is 156mm * 156mm.
3. a kind of method of solar battery sheet track removal according to claim 1, it is characterised in that:The industry phase The RGB image size of the cell piece of machine acquisition is 2456*2054.
4. a kind of method of solar battery sheet track removal according to claim 1, it is characterised in that:In step 1-2 In the middle, it is used as the length of structural element of top cap transformation and wide 20 ~ 50.
5. a kind of method of solar battery sheet track removal according to claim 1, it is characterised in that:In step 1- In 3, ranging from the 100 ~ 250 of thresholding.
6. a kind of method of solar battery sheet track removal according to claim 1, it is characterised in that:In step 1- In 4, the length of the opening operation and wide range are 5 ~ 20.
7. according to a kind of method of solar battery sheet track removal of claims 1-6 any one of them, it is characterised in that: In step 2-1, the width of the rectangular area is 600-900.
8. a kind of method of solar battery sheet track removal according to claim 7, it is characterised in that:In step 2- The length of rectangular area described in 1 is 2465.
9. according to a kind of method of solar battery sheet track removal of claims 1-6 any one of them, it is characterised in that: In step 2-5, the length of the closed operation and it is wide be greater than it is wider than the track.
10. a kind of method of solar battery sheet track removal according to claim 8, it is characterised in that:It is described to close The width of a length of the 600 ~ 800 of operation, the closed operation is 250 ~ 300.
CN201810113201.0A 2018-02-05 2018-02-05 A kind of method of solar battery sheet track removal Expired - Fee Related CN108365051B (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109829919A (en) * 2019-01-31 2019-05-31 苏州晟成光伏设备有限公司 A kind of vision positioning method of solar battery sheet

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CN102609951A (en) * 2012-03-29 2012-07-25 重庆大学 Method for detecting shading part of photovoltaic cell panel
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CN107490584A (en) * 2017-09-16 2017-12-19 河北工业大学 A kind of disconnected grid defect inspection method of solar battery sheet EL tests
CN107563990A (en) * 2017-07-15 2018-01-09 河北工业大学 A kind of photovoltaic cell chipping and the detection algorithm of blunt type and v-notch
CN107578409A (en) * 2017-09-16 2018-01-12 河北工业大学 A kind of method of the disconnected grid defects detection of solar battery sheet outward appearance
CN107610090A (en) * 2017-07-15 2018-01-19 河北工业大学 A kind of detection algorithm of photovoltaic cell surface grid line skew
CN107622484A (en) * 2017-07-15 2018-01-23 河北工业大学 A kind of photovoltaic cell unfilled corner detection algorithm based on form fit

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6225640B1 (en) * 1999-05-19 2001-05-01 Hughes Electronics Corporation Method for electrical shunt detection and removal on semiconductors
EP1416288A1 (en) * 2002-10-23 2004-05-06 EADS Astrium GmbH Method and apparatus for optical detection of mechanical defects in semiconductor components, in particular solar cell arrangements
CN102609951A (en) * 2012-03-29 2012-07-25 重庆大学 Method for detecting shading part of photovoltaic cell panel
CN105388162A (en) * 2015-10-28 2016-03-09 镇江苏仪德科技有限公司 Raw material silicon wafer surface scratch detection method based on machine vision
CN107563990A (en) * 2017-07-15 2018-01-09 河北工业大学 A kind of photovoltaic cell chipping and the detection algorithm of blunt type and v-notch
CN107610090A (en) * 2017-07-15 2018-01-19 河北工业大学 A kind of detection algorithm of photovoltaic cell surface grid line skew
CN107622484A (en) * 2017-07-15 2018-01-23 河北工业大学 A kind of photovoltaic cell unfilled corner detection algorithm based on form fit
CN107490584A (en) * 2017-09-16 2017-12-19 河北工业大学 A kind of disconnected grid defect inspection method of solar battery sheet EL tests
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Publication number Priority date Publication date Assignee Title
CN109829919A (en) * 2019-01-31 2019-05-31 苏州晟成光伏设备有限公司 A kind of vision positioning method of solar battery sheet
CN109829919B (en) * 2019-01-31 2021-09-10 苏州晟成光伏设备有限公司 Visual positioning method for solar cell

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