CN104966101B - A kind of solar battery sheet sorting technique based on LabVIEW - Google Patents
A kind of solar battery sheet sorting technique based on LabVIEW Download PDFInfo
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Abstract
The invention discloses a kind of solar battery sheet sorting technique based on LabVIEW, belong to solar battery sheet sorting technique field, it uses image coordinate converter technique, color Image Segmentation, coloured image HSI Spatial Data Analysis, image processing techniques etc. to handle and analyze the solar cell picture of collection；Extract the image information of each planes of HSI of image；Parameter comparison and similarity computing of the gained useful information by self-defined sample, solar battery sheet is classified according to the self-defined requirement of production firm.A kind of solar battery sheet sorting technique based on LabVIEW of the present invention, pass through mechanical vision inspection technology, the coloured image of Quick Acquisition solar battery sheet, information extraction and analytic operation are carried out to the image using LabVIEW software programs, solar battery sheet is classified according to the self-defined standard of manufacturer real-time online can be achieved, and it is stability and high efficiency, criteria for classification, fast and convenient.
Description
Technical field
The invention belongs to solar battery sheet sorting technique field, a kind of specific solar battery sheet based on LabVIEW
Sorting technique.
Background technology
LabVIEW is a kind of programming development environment developed by American National instrument (NI) company, with other calculating
The difference of machine language is：Other computer languages, such as C, all it is to use text based language generation code, and LabVIEW
Graphical author language G is used to write program, caused program is the form of block diagram.LabVIEW softwares are that NI designs are flat
The core of platform, and the ideal chose of exploitation measurement or control system.
LabVIEW visual developments module (Vision Development Module) is that National Instruments are based on
A set of function library for Computer Vision Detection of the graphical environment exploitations of LabVIEW, the module is by IMAQ Vision
Assistant forms with IMAQ Vision two parts.IMAQ Vision Assistant allow user to be rapidly performed by numeral
The processing and analysis of image, and the process of analyzing and processing is packaged in the form of VI, it is allowed to user is direct in main program
The sub- VI for calling this to encapsulate.IMAQ Vision have been internally integrated the function of individual vision-based detection more than 400, and its application is almost
Cover the full content of current vision-based detection.User can easily call the control in LabVIEW visual development modules very much
And function, so as to solve actual engineering problem.
Solar battery sheet is 21 century green novel energy source --- the main conversion carrier of solar energy, but because it produces work
The complexity of skill, the diversity of production process, cause solar battery sheet finished surface that there is different colors, the inequality of color
It is even etc., so as to influence the final product quality of manufacturer.Therefore need when producing solar battery sheet finished product to it according to production
The requirement of producer carries out classification sorting, lifting producer image product.
At present, most of cell piece manufacturers rely primarily on artificial visual and solar battery sheet are classified, this
Not only efficiency is low, unstable for mode, and the classificating requirement of producer can also vary with each individual, and produce different classification results.
The content of the invention
Goal of the invention：It is an object of the invention to provide a kind of solar battery sheet sorting technique based on LabVIEW, no
It is only stable, reliable, with cell piece is contactless, speed is fast, and realize criteria for classification.
Technical scheme：For achieving the above object, the present invention adopts the following technical scheme that：
Solar battery sheet sorting technique based on LabVIEW, it is characterised in that comprise the following steps：
Step 201, reception signal, gather image：
Step 2011, solar battery sheet is sent to sensing station via conveyer belt, and sensor sends a signal to data
Capture card, be converted to data signal through the capture card and pass to system program；
Step 2012, after system program receives the data signal, camera is triggered, gathers image, and will collect
Solar cell picture is transferred to image processing module；
Step 202, coordinate transform and image segmentation are carried out to solar battery sheet coloured image：
Step 2021, coordinate transform is carried out to the solar battery sheet coloured image collected, using Find Edge.vi
A line circle that boundary operator finds out cell piece is searched, obtains the angle information on the border；The lookup method of the operator is
A fixed region of search is first given, in the region of search, the operator sets some search from top to bottom in the region
Bands, the transition point of cell piece boundary pixel is searched, the transition point on all scounting lines is fitted to straight line, so as to obtain
The angle information of gained boundary straight line；Its angle information is formula (1)：
angle1=α (1)
Then using IMAQ Rotate.vi by solar battery sheet image rotation, coordinate transform is carried out, is coloured image
Segmentation is prepared；In order to realize that cell piece any angle can be split, the calculation formula such as formula (2) of use：
Angle=360 ° of-α (2)；
Step 2022, edge is carried out to the four edges of solar battery sheet respectively using IMAQ Find Edge.vi operators
Search；And the coordinate information on two summits of edge line being each fitted is obtained using the operator；
Step 2023, respectively using four groups of apex coordinates obtained by above-mentioned steps as the factor, using bundle cluster operator to its two
Two combinations, try to achieve four edges edge straight line：Left hand edge, right hand edge, top edge, lower edge；
Based on resulting four edges edge straight line, a left side is asked for using IMAQ Lines Intersection.vi operators successively
Intersection point a, the b at edge and top edge, right hand edge and lower edge；Using point a and point b be split the starting points of interesting image regions with
Terminating point, the sheet of solar battery sheet with background separation out is obtained using Convert Rectangle to ROI.vi operators
Body image；
Step 203, using coloured image HSI spaces as foundation, using ExtractColorPlanes.vi operators by above-mentioned institute
It is tri- planes of H, S, I to obtain solar battery sheet picture breakdown, and obtains three respectively using IMAQ Histograph.vi operators
The gray value information of individual plane；
Step 204, the gray value information of above-mentioned three planes of gained is merged to one two-dimensional array of deposit；
Step 205, self-defined sample typing total amount and number of samples of all categories required according to manufacturer, utilize array
The two-dimensional array of gray value information of all categories is represented in collection operator extraction sample, by above-mentioned gained two-dimensional array and the two dimension of extraction
Array does parameter comparison and similarity computing；Using the result distance of the similarity computing as criteria for classification,
Distance values are bigger, represent that the difference of two two-dimensional arrays is bigger, that is, represent that tested cell piece and the template are more dissimilar, instead
It, distance values are smaller, and it is more similar to corresponding templates to be tested cell piece；
Step 206, by all distance values of above-mentioned gained deposit one-dimension arrays, utilize array maximum and minimum value
Operator searches distance values minimum in the array and its corresponding call number x；
If step 207, gained call number x meet formula (3)：
Sn-1<x<Sn-1+Sn(3)
Then the tested cell piece corresponding to call number x for similarity computing is divided into Sn classifications；
Wherein, Sn-1Represent customized (n-1)th classification of production firm, SnRepresent customized n-th of the class of production firm
Not.
Beneficial effect：Compared with prior art, a kind of solar battery sheet classification side based on LabVIEW of the invention
Method, by mechanical vision inspection technology, the coloured image of Quick Acquisition solar battery sheet, utilize LabVIEW software programs pair
The image carries out information extraction and analytic operation, self-defined according to manufacturer to solar battery sheet real-time online can be achieved
Standard is classified, and stability and high efficiency, criteria for classification, fast and convenient.
Brief description of the drawings
Fig. 1 is solar battery sheet classification overview flow chart；
Fig. 2 is that solar battery sheet reaches sensing station top view；
Fig. 3 is that solar battery sheet passes through in step 2021 result images searched after edge；
Fig. 4 is that solar battery sheet passes through the image before and after coordinate transform in step 2021；
Fig. 5 is result images of the solar battery sheet after color images in step 2023；
Fig. 6 is the image of H, S, I tri- plane of the solar battery sheet by the extraction of HSI color spaces in step 203；
Fig. 7 is the flow chart for generating solar battery sheet Sample Storehouse；
Fig. 8 is operation result figure when the self-defined sample number of typing is 80；
Fig. 9 is display image of some operators in LabVIEW used in the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described further.
Solar battery sheet sorting technique based on LabVIEW employs image coordinate converter technique, color images
Technology, coloured image HSI Spatial Data Analysis, image processing techniques etc. the solar cell picture of collection is handled and
Analysis, solar battery sheet is classified according to the self-defined requirement of production firm.
As shown in figure 1, the solar battery sheet sorting technique based on LabVIEW, comprises the following steps：
Step 201, reception signal, image is gathered, it includes：
Step 2011, when solar battery sheet goes out the gaily decorated basket, as shown in Fig. 2 when cell piece 4 marched on conveyer belt 1 it is white
When under color background board at 2 photoelectric sensor 3, photoelectric sensor 3 is sheltered from, photoelectric sensor 3 sends a signal to data acquisition
Card, is converted to data signal through the capture card and passes to system program；
Step 2012, after system program receives the data signal, camera is triggered, gathers image, and will collect
Solar cell picture is transferred to image processing module；
Step 202, coordinate transform and image segmentation are carried out to solar battery sheet coloured image, it includes：
Step 2021, coordinate transform is carried out to the solar battery sheet coloured image collected, using Find Edge.vi
A line circle that boundary operator finds out cell piece is searched, obtains the angle information on the border；The lookup method of the operator is
A fixed region of search is first given, in the region of search, the operator sets some search from top to bottom in the region
Bands, the transition point of cell piece boundary pixel is searched, the transition point on all scounting lines is fitted to straight line, such as Fig. 3 institutes
Show, straight line 4 is the straight line formed by transition point fitting, so as to obtain the angle information of gained boundary straight line；Its angle information is
Formula (1)：
angle1=α (1)
Then using IMAQ Rotate.vi by solar battery sheet image rotation, coordinate transform is carried out, as shown in figure 4,
Fig. 4 left sides are any putting position cell piece on conveyer belt, are the cell piece after coordinate transform on the right of Fig. 4, for coloured image point
Cut and prepare, the calculation formula such as formula (2) that the operator uses：
Angle=360 ° of-α (2)
Step 2022, edge is carried out to the four edges of solar battery sheet respectively using IMAQ Find Edge.vi operators
Search；And the coordinate information on two summits of edge line being each fitted is obtained using the operator；
Step 2023, respectively using four groups of (left, up, right, down edge line) apex coordinates obtained by above-mentioned steps as the factor,
Using cluster operator is bundled to its combination of two, four edges edge straight line is tried to achieve：Left hand edge, right hand edge, top edge, lower edge；
Based on resulting four edges edge straight line, a left side is asked for using IMAQ Lines Intersection.vi operators successively
The intersection point a of edge and top edge, right hand edge and lower edge intersection point b；Using point a and point b rising as segmentation interesting image regions
Initial point and terminating point, obtain solar battery sheet using Convert Rectangle to ROI.vi operators and go out with background separation
The ontology diagram picture come, as shown in Figure 5；
Step 203, using coloured image HSI spaces as foundation, using ExtractColorPlanes.vi operators by above-mentioned institute
Solar battery sheet picture breakdown is tri- planes of H, S, I, as shown in fig. 6, Fig. 6 e figures are H planes, f figures are S planes, g
Figure is I, and obtains the gray value information of three planes respectively using IMAQ Histograph.vi operators；
Step 204, the gray value information of above-mentioned three planes of gained is merged to one two-dimensional array of deposit；
Step 205, the product process figure in solar battery sheet template samples storehouse are as shown in fig. 7, when system program receives
During the signal of photoelectric sensor, camera is triggered, gathers image, coordinate transform is carried out to coloured image and image is split, Ran Houti
The half-tone information of each plane in HIS color space is taken, is stored in one-dimension array, then merges into three one-dimension arrays respectively
One two-dimensional array, is stored in customized Microsoft Excel, completes the sample typing to a cell piece.Sample Storehouse generation knot
Shu Hou, self-defined sample typing total amount and number of samples of all categories are required according to manufacturer, utilize subset of array operator extraction
The two-dimensional array of gray value information of all categories is represented in sample, above-mentioned gained two-dimensional array and the two-dimensional array of extraction are done into parameter
Contrast and similarity computing；Using the result distance of the similarity computing as criteria for classification, distance values are bigger, table
Show that the difference of two two-dimensional arrays is bigger, that is, represent that tested cell piece and the template are more dissimilar, conversely, distance values are got over
It is small, it is more similar to corresponding templates to be tested cell piece.
Step 206, by all distance values of above-mentioned gained deposit one-dimension arrays, utilize array maximum and minimum value
Operator searches distance values minimum in the array and its corresponding call number x；
If step 207, gained call number x meet formula (3)：
Sn-1<x<Sn-1+Sn(3)
Then the tested cell piece corresponding to call number x for similarity computing is divided into Sn classifications.
Wherein, Sn-1Represent customized (n-1)th classification of production firm, SnRepresent customized n-th of the class of production firm
Not.
As shown in figure 8, an example of the present invention, in example, the self-defined sample number of typing is 80, colour system 1,
Colour system 2, colour system 3, colour system 4, colour system 5, colour system 6, colour system 7, the sample number of colour system 8 are 10；The postrun result of program is
Colour system where the cell piece is colour system 7.Fig. 9 is display image of some operators in LabVIEW used in the present invention.
By above-mentioned seven steps, standard ambiguity when manually classifying to solar battery sheet is avoided, is greatly dropped
Fragment rate caused by stardard uncertairty, sorting error and contact cell piece during low traditional classification, while meet reality
When online Fast Classification, while production efficiency is improved, ensure the uniqueness of manufacturer self-defined standard, and system program
It is stable, reliable.
Claims (1)
1. the solar battery sheet sorting technique based on LabVIEW, it is characterised in that comprise the following steps：
Step 201, reception signal, gather image：
Step 2011, solar battery sheet is sent to sensing station via conveyer belt, and sensor sends a signal to data acquisition
Card, is converted to data signal through the capture card and passes to system program；
Step 2012, after system program receives the data signal, camera is triggered, gathers image, and the sun that will be collected
Energy battery picture is transferred to image processing module；
Step 202, coordinate transform and image segmentation are carried out to solar battery sheet coloured image：
Step 2021, coordinate transform is carried out to the solar battery sheet coloured image collected, searched using Find Edge.vi
Boundary operator finds out a line circle of cell piece, obtains the angle information angle on the border1；The lookup method of the operator
It is a first given fixed region of search, in the region of search, the operator sets some from top to bottom in the region
Scounting line, the transition point of cell piece boundary pixel is searched, the transition point on all scounting lines is fitted to straight line, so as to
To the angle information α of gained boundary straight line；Its angle information is formula (1)：
angle1=α (1)
Then using IMAQ Rotate.vi by solar battery sheet image rotation, coordinate transform is carried out, is color images
Prepare；In order to realize that cell piece any angle can be split, the calculation formula such as formula (2) of use：
Angle=360 ° of-α (2)；
Step 2022, edge finding is carried out to the four edges of solar battery sheet respectively using IMAQ Find Edge.vi operators；
And the coordinate information on two summits of edge line being each fitted is obtained using the operator；
Step 2023, respectively using four groups of apex coordinates obtained by above-mentioned steps as the factor, using bundling cluster operator to its group two-by-two
Close, try to achieve four edges edge straight line：Left hand edge, right hand edge, top edge, lower edge；
Based on resulting four edges edge straight line, left hand edge is asked for using IMAQ Lines Intersection.vi operators successively
With intersection point a, b of top edge, right hand edge and lower edge；Starting point and termination using point a and point b as segmentation interesting image regions
Point, the ontology diagram of solar battery sheet with background separation out is obtained using Convert Rectangle to ROI.vi operators
Picture；
Step 203, using coloured image HSI spaces as foundation, using ExtractColorPlanes.vi operators by above-mentioned gained too
Positive energy cell piece picture breakdown is tri- planes of H, S, I, and obtains three respectively using IMAQ Histograph.vi operators and put down
The gray value information in face；
Step 204, the gray value information of above-mentioned three planes of gained is merged to one two-dimensional array of deposit；
Step 205, self-defined sample typing total amount and number of samples of all categories required according to manufacturer, calculated using subset of array
The two-dimensional array of gray value information of all categories is represented in son extraction sample, by above-mentioned gained two-dimensional array and the two-dimensional array of extraction
Do parameter comparison and similarity computing；Using the result distance of the similarity computing as criteria for classification, distance values
It is bigger, represent that the difference of two two-dimensional arrays is bigger, that is, represent that tested cell piece and corresponding templates are more dissimilar, conversely,
Distance values are smaller, and it is more similar to corresponding templates to be tested cell piece；
Step 206, by all distance values of above-mentioned gained deposit one-dimension arrays, utilize array maximum and minimum value operator
Search distance values minimum in the array and its corresponding call number x；
If step 207, gained call number x meet formula (3)：
Sn-1<x<Sn-1+Sn (3)
Then the tested cell piece corresponding to call number x for similarity computing is divided into SnClassification；
Wherein, Sn-1Represent customized (n-1)th classification of production firm, SnRepresent customized n-th of the classification of production firm.
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| CN105388162B (en) * | 2015-10-28 | 2017-12-01 | 镇江苏仪德科技有限公司 | Raw material silicon chip surface scratch detection method based on machine vision |
| CN105930854A (en) * | 2016-04-19 | 2016-09-07 | 东华大学 | Manipulator visual system |
| CN106814088A (en) * | 2016-12-30 | 2017-06-09 | 镇江苏仪德科技有限公司 | Based on machine vision to the detection means and method of cell piece colour sorting |
| CN106709529B (en) * | 2017-01-18 | 2020-04-14 | 河北工业大学 | Visual detection method for photovoltaic cell color difference classification |
| CN107843600B (en) * | 2017-10-31 | 2021-01-08 | 河北工业大学 | Method for detecting appearance fingerprint defects of polycrystalline silicon solar cell |
| CN108959998A (en) * | 2018-06-25 | 2018-12-07 | 天津英创汇智汽车技术有限公司 | Two-dimensional code identification method, apparatus and system |
| CN114719771B (en) * | 2022-04-20 | 2023-05-26 | 广东工业大学 | Non-contact type in-situ measurement method for multidimensional high-temperature geometric deformation of material |
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