CN106596563A - Solar battery cell machine vision detection platform - Google Patents
Solar battery cell machine vision detection platform Download PDFInfo
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- CN106596563A CN106596563A CN201611261477.0A CN201611261477A CN106596563A CN 106596563 A CN106596563 A CN 106596563A CN 201611261477 A CN201611261477 A CN 201611261477A CN 106596563 A CN106596563 A CN 106596563A
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- Prior art keywords
- solar battery
- battery sheet
- machine vision
- characterize
- detection platform
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
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- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention provides a solar battery cell machine vision detection platform. The solar battery cell machine vision detection platform comprises a detection station, an image acquiring module and a PC computer; and the image acquiring module has an image acquiring range, the detection station is positioned in the image acquiring range, the image acquiring module comprises a light source, a lens and a camera, the PC computer controls the work of the light source, the lens is connected with the camera, the camera transmits data with the PC computer, the image acquiring module also comprises a photoelectric sensor, and the photoelectric sensor is arranged between the detection station and the PC computer. The solar battery cell machine vision detection platform can detect solar battery cells in a unified and accurate manner, is in favor of sorting the solar battery cells, guarantees the qualified rate of the solar battery cells, and reduces the flow-out of unqualified solar battery cells.
Description
Technical field
The present invention relates to solar battery sheet detection technique field, more particularly to one kind is regarded for solar battery sheet machine
Feel detection platform.
Background technology
Solar battery sheet is the important component part of solaode, its in process of production different phase have lack
Sunken species is also different, affects also different.By taking the cell piece after plated film as an example, the quality of its coating quality directly determines follow-up work
The quality of cell piece printing in sequence, so as to affect the performance of solaode, it is therefore necessary to which cell piece after plated film is sorted,
The unqualified cell piece that there will be defect is rejected.
But the impact of the factors such as the different, external environment of temperature due to graphite boat each groove, cell piece can go out after plated film
Now turn to be yellow piece, rubescent, the piece that turns white, fragment, surface blot, rainbow plate, jump unqualified of color chips etc. or uniform red, above-mentioned electricity
The multiformity and complexity of pond piece kind result in the uncertainty to its detection method, and then have impact on solar battery sheet
Detection and sorting.
Therefore, for the problems referred to above, further solution is proposed.
The content of the invention
It is an object of the invention to provide a kind of solar battery sheet Machine Vision Detection platform, to overcome prior art in
The deficiency of presence.
For achieving the above object, the present invention provides a kind of solar battery sheet Machine Vision Detection platform, and it includes：
Detection station, image collection module and PC；
There is described image acquisition module image to obtain scope, and the detection station is located at described image and obtains in scope,
Described image acquisition module includes light source, camera lens and camera, and the PC controls the work of the light source, the camera lens and institute
State camera to be connected, the camera carries out data transmission with the PC, described image acquisition module also includes photoelectric sensor,
The photoelectric sensor is arranged between the detection station and PC.
Used as the improvement of the solar battery sheet Machine Vision Detection platform of the present invention, the detection station and image are obtained
Module is arranged in camera bellows.
As the improvement of the solar battery sheet Machine Vision Detection platform of the present invention, the light source, camera lens and camera
Detect that the distance between station is D, D=f with described1(x1, x2, x3, x4, x5), wherein, the x1Characterize solar battery sheet
Color, the x2Characterize the aberration of solar battery sheet, the x3Characterize the thickness of solar battery sheet, the x4Characterize the sun
The surface roughness of energy cell piece, the x4Characterize the angularity of solar battery sheet.
As the improvement of the solar battery sheet Machine Vision Detection platform of the present invention, resolution F=f of the camera2
(x1, x2, x3, x4, x5), wherein, the x1Characterize the color of solar battery sheet, the x2Characterize the color of solar battery sheet
Difference, the x3Characterize the thickness of solar battery sheet, the x4Characterize the surface roughness of solar battery sheet, the x4Characterize
The angularity of solar battery sheet.
Used as the improvement of the solar battery sheet Machine Vision Detection platform of the present invention, the solar battery sheet machine is regarded
Feel that detection platform also includes light source controller, the work that the PC passes through light source described in the light-source controller controls.
Used as the improvement of the solar battery sheet Machine Vision Detection platform of the present invention, the PC is based on LabVIEW
The PC of platform.
Used as the improvement of the solar battery sheet Machine Vision Detection platform of the present invention, the detection station has loading
Platform, the object stage is located at described image and obtains in scope.
Compared with prior art, the invention has the beneficial effects as follows：The solar battery sheet Machine Vision Detection of the present invention is put down
Platform can carry out unified and accurate detection for solar battery sheet, be conducive to the sorting of solar battery sheet, it is ensured that too
The qualification rate of positive energy cell piece, reduces the outflow of waste product solar battery sheet.
Description of the drawings
Fig. 1 is that the module of a specific embodiment of the solar battery sheet Machine Vision Detection platform of the present invention is illustrated
Figure.
Specific embodiment
Below in conjunction with the accompanying drawings the present invention is described in detail for shown each embodiment, but it should explanation, these
Embodiment not limitation of the present invention, those of ordinary skill in the art according to these embodiment institute work energy, method,
Or the equivalent transformation or replacement in structure, belong within protection scope of the present invention.
As shown in figure 1, the solar battery sheet Machine Vision Detection platform of the present invention includes：Detection station 10, image is obtained
Delivery block 20 and PC 30.
The detection station 10 is used to carry detected solar battery sheet, in order to realize the purpose, the detection work
Position 10 has object stage, and the detected solar battery sheet can be positioned on the object stage and be detected.Additionally, according to
Need, fixture can be set on the object stage, so that the installation of the detected solar battery sheet is fixed.Meanwhile, it is
Shading when meeting detection requires that the detection station 10 and image collection module 20 are arranged in camera bellows.
Described image acquisition module 20 is used to obtain the image of detected solar battery sheet, and view data is transmitted
To the PC 30.Specifically, there is described image acquisition module 20 image to obtain scope, the object stage of the detection station 10
Obtain in scope positioned at described image.
Specifically, described image acquisition module 20 includes light source 21, camera lens 22 and camera 23, wherein, the light source 21
It is controlled by the PC 30.In order to realize the control to the light source 31, the solar battery sheet Machine Vision Detection
Platform also includes light source controller (not shown), and the PC 30 is connected by the light source controller with the light source 21.
The camera lens 22 is connected with the camera 23, and the camera 23 carries out view data transmission with the PC 30.Additionally, described
Image collection module 20 also includes photoelectric sensor 24, and the photoelectric sensor 24 is arranged at the detection station 10 and PC 30
Between.
Further, due to color, aberration, thickness, surface roughness, the difference of angularity of solar battery sheet, its
The distance between the light source 21, camera lens 22 and camera 23 and described detection station 10 and the camera 23 will be affected
The setting and selection of resolution.In this regard, set the light source 21, camera lens 22 and camera 23 and it is described detection station 10 between away from
It is F from the resolution for D, the camera 23,
So as to the D=f1(x1, x2, x3, x4, x5), wherein, the x1Characterize the color of solar battery sheet, the x2
Characterize the aberration of solar battery sheet, the x3Characterize the thickness of solar battery sheet, the x4Characterize the table of solar battery sheet
Surface roughness, the x4Characterize the angularity of solar battery sheet.
The F=f2(x1, x2, x3, x4, x5), wherein, the x1Characterize the color of solar battery sheet, the x2Characterize too
The aberration of positive energy cell piece, the x3Characterize the thickness of solar battery sheet, the x4Characterize the rough surface of solar battery sheet
Degree, the x4Characterize the angularity of solar battery sheet.
The PC 30 is used to be controlled described light source 21 etc., while receiving the transmission of described image acquisition module 20
View data.Further, the view data of 30 pairs of receptions of the PC is analyzed and calculates, according to result of calculation to tested
The solar battery sheet of survey is sorted.Preferably, the PC 30 is based on the PC 30 of LabVIEW platform.
In sum, solar battery sheet Machine Vision Detection platform of the invention can be carried out for solar battery sheet
Unified and accurately detection, is conducive to the sorting of solar battery sheet, it is ensured that the qualification rate of solar battery sheet, reduces useless
The outflow of product solar battery sheet.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of spirit or essential attributes without departing substantially from the present invention, the present invention can be in other specific forms realized.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power
Profit is required rather than described above is limited, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the present invention.Any reference in claim should not be considered as and limit involved claim.
Moreover, it will be appreciated that although this specification is been described by according to embodiment, not each embodiment is only wrapped
Containing an independent technical scheme, this narrating mode of description is only that for clarity those skilled in the art should
Using description as an entirety, the technical scheme in each embodiment can also Jing it is appropriately combined, form those skilled in the art
Understandable other embodiment.
Claims (7)
1. a kind of solar battery sheet Machine Vision Detection platform, it is characterised in that the solar battery sheet machine vision inspection
Surveying platform includes：Detection station, image collection module and PC；
There is described image acquisition module image to obtain scope, and the detection station is located at described image and obtains in scope, described
Image collection module includes light source, camera lens and camera, and the PC controls the work of the light source, the camera lens and the phase
Machine is connected, and the camera carries out data transmission with the PC, and described image acquisition module also includes photoelectric sensor, described
Photoelectric sensor is arranged between the detection station and PC.
2. solar battery sheet Machine Vision Detection platform according to claim 1, it is characterised in that the detection station
It is arranged in camera bellows with image collection module.
3. solar battery sheet Machine Vision Detection platform according to claim 1, it is characterised in that the light source, mirror
Head and camera detect that the distance between station is D, D=f with described1(x1,x2,x3,x4,x5), wherein, the x1Characterize the sun
The color of energy cell piece, the x2Characterize the aberration of solar battery sheet, the x3The thickness of solar battery sheet is characterized, it is described
x4Characterize the surface roughness of solar battery sheet, the x4Characterize the angularity of solar battery sheet.
4. solar battery sheet Machine Vision Detection platform according to claim 1, it is characterised in that the camera point
Resolution F=f2(x1,x2,x3,x4,x5), wherein, the x1Characterize the color of solar battery sheet, the x2Characterize solaode
The aberration of piece, the x3Characterize the thickness of solar battery sheet, the x4The surface roughness of solar battery sheet is characterized, it is described
x4Characterize the angularity of solar battery sheet.
5. solar battery sheet Machine Vision Detection platform according to claim 1, it is characterised in that the solar-electricity
Pond piece Machine Vision Detection platform also includes light source controller, and the PC is by light source described in the light-source controller controls
Work.
6. solar battery sheet Machine Vision Detection platform according to claim 1, it is characterised in that the PC is base
In the PC of LabVIEW platform.
7. solar battery sheet Machine Vision Detection platform according to claim 1, it is characterised in that the detection station
With object stage, the object stage is located at described image and obtains in scope.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611261477.0A CN106596563A (en) | 2016-12-30 | 2016-12-30 | Solar battery cell machine vision detection platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611261477.0A CN106596563A (en) | 2016-12-30 | 2016-12-30 | Solar battery cell machine vision detection platform |
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| Publication Number | Publication Date |
|---|---|
| CN106596563A true CN106596563A (en) | 2017-04-26 |
Family
ID=58581863
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611261477.0A Pending CN106596563A (en) | 2016-12-30 | 2016-12-30 | Solar battery cell machine vision detection platform |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109142383A (en) * | 2018-08-10 | 2019-01-04 | 惠州太初科技有限公司 | One kind being based on morphologic character defect inspection method and device |
| CN111077164A (en) * | 2018-10-20 | 2020-04-28 | 杭州纤纳光电科技有限公司 | Perovskite film quality detection device and method based on machine vision |
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| CN1761903A (en) * | 2003-03-20 | 2006-04-19 | 浜松光子学株式会社 | Microscope and sample observing method |
| CN101451909A (en) * | 2007-12-05 | 2009-06-10 | 日本麦可罗尼克斯股份有限公司 | Inspection method and inspection apparatus of display panel |
| CN203606301U (en) * | 2013-11-20 | 2014-05-21 | 东南大学 | Visual hardware for defect detection of power lithium ion battery pole piece |
| CN106238350A (en) * | 2016-09-12 | 2016-12-21 | 佛山市南海区广工大数控装备协同创新研究院 | A kind of solar battery sheet method for separating based on machine vision and system |
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2016
- 2016-12-30 CN CN201611261477.0A patent/CN106596563A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1761903A (en) * | 2003-03-20 | 2006-04-19 | 浜松光子学株式会社 | Microscope and sample observing method |
| CN101451909A (en) * | 2007-12-05 | 2009-06-10 | 日本麦可罗尼克斯股份有限公司 | Inspection method and inspection apparatus of display panel |
| CN203606301U (en) * | 2013-11-20 | 2014-05-21 | 东南大学 | Visual hardware for defect detection of power lithium ion battery pole piece |
| CN106238350A (en) * | 2016-09-12 | 2016-12-21 | 佛山市南海区广工大数控装备协同创新研究院 | A kind of solar battery sheet method for separating based on machine vision and system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109142383A (en) * | 2018-08-10 | 2019-01-04 | 惠州太初科技有限公司 | One kind being based on morphologic character defect inspection method and device |
| CN111077164A (en) * | 2018-10-20 | 2020-04-28 | 杭州纤纳光电科技有限公司 | Perovskite film quality detection device and method based on machine vision |
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Application publication date: 20170426 |
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