CN108365051B - A kind of method of solar battery sheet track removal - Google Patents
A kind of method of solar battery sheet track removal Download PDFInfo
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- CN108365051B CN108365051B CN201810113201.0A CN201810113201A CN108365051B CN 108365051 B CN108365051 B CN 108365051B CN 201810113201 A CN201810113201 A CN 201810113201A CN 108365051 B CN108365051 B CN 108365051B
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 230000009466 transformation Effects 0.000 claims abstract description 11
- 238000006243 chemical reaction Methods 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims description 7
- 238000005530 etching Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 230000000877 morphologic effect Effects 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract description 13
- 238000001514 detection method Methods 0.000 abstract description 13
- 238000003711 image thresholding Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 5
- 230000007812 deficiency Effects 0.000 description 2
- 230000002950 deficient Effects 0.000 description 2
- 229910021420 polycrystalline silicon Inorganic materials 0.000 description 2
- 229920005591 polysilicon Polymers 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000005622 photoelectricity Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L31/00—Semiconductor 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
- H01L31/18—Processes or apparatus specially adapted for the manufacture or treatment of these devices or of parts thereof
- H01L31/1804—Processes 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
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L22/00—Testing 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
- H01L22/10—Measuring as part of the manufacturing process
- H01L22/12—Measuring 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
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/547—Monocrystalline silicon PV cells
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
Abstract
The invention proposes the method for solar battery sheet track removal, this method is 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；Image again to rotation positive image thresholding, after obtaining thresholding；Image geometry operation and morphology operations are carried out to the image after thresholding again, to obtain the image after track removal.Track can be effectively removed in the present invention in engineering practice, can remove influence of the track to defects detection.
Description
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 technique
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, is converted into electric energy for clean solar energy, provides the endlessly energy for us.Currently, photovoltaic industry is sent out
Rapidly, annual growth is 20% or so for exhibition.These cell pieces produced seek to detect 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, will lead to inside solar panel occur it is 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 erroneous detection 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 problem urgently to be resolved.
Summary of the invention
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:
Step 1: 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 scale on the basis of step 1-1 by 1-2, top cap transformation
The grid region of image extracts；
1-3, Threshold segmentation, on the basis of step 1-2, by the grid region thresholding；
1-4, opening operation by morphology operations opening operation, are expanded afterwards on the basis of step 1-3 using first corroding
Method eliminates the auxiliary grid line of the grid region, retains the main gate line of the grid region；
1-5, connected domain is formed, Feature Selection, will by forming connected domain and Feature Selection on the basis of step 1-4
The main gate line screens；
1-6, the main gate line and horizontal direction angulation are calculated, on the basis of step 1-5, by calculating every
Main gate line and horizontal direction angulation, then seek the first moment about the origin of every main gate line, obtain the cell piece relative to
The deviation angle of horizontal direction；
1-7, image rotation, according to the value of the deviation angle, rotate image on the basis of step 1-6, thus
Obtain the image after revolving just；
Step 2: track removes
2-1, on the basis of step 1-7, generate the rectangular area that can be completely covered track；
2-2, gray processing, thresholding, filling carry out gray scale to the image after the rotation just on the basis of step 1-7
Change, thresholding, filling processing, to obtain filled rotation positive image region；
2-3, intersection is taken, on the basis of step 2-1, step 2-2, is taking the rectangular area and the filled rotation just
The intersection of image-region, obtains intersection area；
2-4, work are poor, on the basis of step 2-3, subtract step 2-3 by the rectangular area that step 2-1 is obtained and obtain
The intersection area arrived, to obtain difference region；
The difference region is used the closed operation for first expanding post-etching on the basis of step 2-4 by 2-5, closed operation,
Form it into closed area；
2-6, pass through Morphological scale-space, on the basis of step 1-7, by step 2-5 corresponding to the image after the rotation just
The obtained closed area painted white, the positive battery picture of rotation after obtaining completely removing 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 pixel.
Specifically, in step 1-2, the length of the structural element as top cap transformation and wide in 20~50 pixels.
Specifically, the range of thresholding is 100~250 pixels in step 1-3.
Specifically, the length of the opening operation and wide range are 5~20 pixels in step 1-4.
Specifically, the width of the rectangular area is 600-900 pixel in step 2-1.
Specifically, the length of the rectangular area described in step 2-1 is 2465 pixels.
Specifically, the length and width of the closed operation are greater than wider than the track in step 2-5.
Specifically, a length of 600~800 pixel of the closed operation, the width of the closed operation is 250~300 pixels.
What this algorithm relied on is HDevelope software, version 13 editions.Non- tape unit is pixel value in this method, this
Track can be removed well by above step and condition, provide feasibility for subsequent defects detection by invention, be improved
The verification and measurement ratio of subsequent defective detection reduces the omission factor and false detection rate of subsequent defective detection.
Detailed description of the invention
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 technical 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 embodiment
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 description, 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 battery is claimed in the present invention
The method of piece track removal, this method include two step units:
Step 1: 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 scale on the basis of step 1-1 by 1-2, top cap transformation
The grid region of image extracts；
1-3, Threshold segmentation, on the basis of step 1-2, by the grid region thresholding；
1-4, opening operation by morphology operations opening operation, are expanded afterwards on the basis of step 1-3 using first corroding
Method eliminates the auxiliary grid line of the grid region, retains the main gate line of the grid region；
1-5, connected domain is formed, Feature Selection, will by forming connected domain and Feature Selection on the basis of step 1-4
The main gate line screens；
1-6, the main gate line and horizontal direction angulation are calculated, on the basis of step 1-5, by calculating every
Main gate line and horizontal direction angulation, then seek the first moment about the origin of every main gate line, obtain the cell piece relative to
The deviation angle of horizontal direction；
1-7, image rotation, according to the value of the deviation angle, rotate image on the basis of step 1-6, thus
Obtain the image after revolving just；
Step 2: track removes
2-1, on the basis of step 1-7, generate the rectangular area that can be completely covered track；
2-2, gray processing, thresholding, filling carry out gray scale to the image after the rotation just on the basis of step 1-7
Change, thresholding, filling processing, to obtain filled rotation positive image region；
2-3, intersection is taken, on the basis of step 2-1, step 2-2, is taking the rectangular area and the filled rotation just
The intersection of image-region, obtains intersection area；
2-4, work are poor, on the basis of step 2-3, subtract step 2-3 by the rectangular area that step 2-1 is obtained and obtain
The intersection area arrived, to obtain difference region；
The difference region is used the closed operation for first expanding post-etching on the basis of step 2-4 by 2-5, closed operation,
Form it into closed area；
2-6, pass through Morphological scale-space, on the basis of step 1-7, by step 2-5 corresponding to the image after the rotation just
The obtained closed area painted white, the positive battery picture of rotation after obtaining completely removing 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 pixel.
Specifically, in step 1-2, the length of the structural element as top cap transformation and wide in 20~50 pixels.
Specifically, the range of thresholding is 100~250 pixels in step 1-3.
Specifically, the length of the opening operation and wide range are 5~20 pixels in step 1-4.
Specifically, the width of the rectangular area is 600-900 pixel in step 2-1.
Specifically, the length of the rectangular area described in step 2-1 is 2465 pixels.
Specifically, the length and width of the closed operation are greater than wider than the track in step 2-5.
Specifically, a length of 600~800 pixel of the closed operation, the width of the closed operation is 250~300 pixels.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to 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:
Step 1: 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 on the basis of step 1-1 by 1-2, top cap transformation
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 gate line and horizontal direction angulation are calculated, on the basis of step 1-5, by calculating every main grid
Line and horizontal direction angulation, then the first moment about the origin of every main gate 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；
Step 2: track removes
2-1, on the basis of step 1-7, generate the rectangular area that can be completely covered track；
2-2, gray processing, thresholding, filling carry out gray processing, threshold to the image after the rotation just on the basis of step 1-7
Value, filling processing, to obtain filled rotation positive image region；
2-3, intersection is taken, on the basis of step 2-1, step 2-2, takes the rectangular area and the filled rotation positive image
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, pass through Morphological scale-space, on the basis of step 1-7, step 2-5 corresponding to the image after the rotation just is obtained
The closed area painted white, the positive battery picture of rotation after obtaining completely removing 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 pixel.
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, the length of structural element as top cap transformation and wide in 20~50 pixels.
5. a kind of method of solar battery sheet track removal according to claim 1, it is characterised in that: in step 1-3
In, the range of thresholding is 100~250 pixels.
6. a kind of method of solar battery sheet track removal according to claim 1, it is characterised in that: in step 1-4
In, the length of the opening operation and wide range are 5~20 pixels.
7. a kind of method of solar battery sheet track removal according to claim 1-6, it is characterised in that:
In step 2-1, the width of the rectangular area is 600-900 pixel.
8. a kind of method of solar battery sheet track removal according to claim 7, it is characterised in that: in step 2-1
Described in rectangular area length be 2465 pixels.
9. a kind of method of solar battery sheet track removal according to claim 1-6, it is characterised in that: step
In rapid 2-5, the length and width of the closed operation are greater than wider than the track.
10. a kind of method of solar battery sheet track removal according to claim 8, it is characterised in that: described to close fortune
A length of 600~800 pixel calculated, the width of the closed operation are 250~300 pixels.
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| 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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| 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 |
Family Cites Families (2)
| 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 |
| CN102609951B (en) * | 2012-03-29 | 2014-08-06 | 重庆大学 | Method for detecting shading part of photovoltaic cell panel |
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2018
- 2018-02-05 CN CN201810113201.0A patent/CN108365051B/en not_active Expired - Fee Related
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| 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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