CN104966101A - Solar cell classification method based on LabVIEW - Google Patents
Solar cell classification method based on LabVIEW Download PDFInfo
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- CN104966101A CN104966101A CN201510338663.9A CN201510338663A CN104966101A CN 104966101 A CN104966101 A CN 104966101A CN 201510338663 A CN201510338663 A CN 201510338663A CN 104966101 A CN104966101 A CN 104966101A
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Abstract
The invention discloses a solar cell classification method based on LabVIEW and belongs to the technical field of solar cell classification. The method is characterized by carrying out processing and analysis on the collected solar cell images by adopting the image coordinate transformation technology, color image segmentation technology, color image HIS spatial analysis technology, and image processing technology and the like; extracting image information of H/S/I plane of the images; and carrying out customized sample parameter comparison and similarity calculation on the obtained useful information and classifying solar cells according to the customized requirements of manufacturers. According to the solar cell classification method based on LabVIEW, through the machine vision detection technology, color images of the solar cells are collected quickly, and then, the images are subjected to information extraction and analysis operation by utilizing the LabVIEW software program, so that the solar cells can be classified online in real time according to the customized requirements of the manufacturers, and the method is stable and efficient, standard in classification and simple and quick.
Description
Technical field
The invention belongs to solar battery sheet sorting technique field, specifically a kind of solar battery sheet sorting technique based on LabVIEW.
Background technology
LabVIEW is a kind of programming development environment developed by American National instrument (NI) company, with the difference of other computereses be: other computereses, as C etc., all adopt text based language to produce code, and LabVIEW uses graphical author language G coding, the program of generation is the form of block diagram.LabVIEW software is the core of NI design platform, is also the ideal chose of exploitation measurement or control system.
LabVIEW visual development module (Vision Development Module) is a set of function library for Computer Vision Detection of National Instruments based on the graphical environment exploitation of LabVIEW, and this module is made up of IMAQ Vision Assistant and IMAQ Vision two parts.IMAQ Vision Assistant allows user to carry out the treatment and analyses of digital picture fast, and the process of analyzing and processing is encapsulated with the form of VI, allows user in master routine, directly call the sub-VI of this encapsulation.IMAQ Vision inside is integrated with the function of more than 400 vision-based detection, its range of application nearly cover full content of current vision-based detection.User can call the control function in LabVIEW visual development module very easily, thus solves actual engineering problem.
Solar battery sheet is 21 century green novel energy source---the conversion carrier that sun power is main, but due to the complicacy of its production technology, the diversity of production process, cause solar battery sheet finished surface have different colors, color uneven etc., thus affect the end product quality of manufacturer.Therefore needing to carry out classification sorting when producing solar battery sheet finished product to its requirement according to manufacturer, promoting producer's image product.
At present, most of cell piece manufacturer mainly relies on artificial visual to classify to solar battery sheet, and this mode not only efficiency is low, unstable, and the classificating requirement of producer also can vary with each individual, and produces different classification results.
Summary of the invention
Goal of the invention: the object of the present invention is to provide a kind of solar battery sheet sorting technique based on LabVIEW, not only stable, reliable, contactless with cell piece, speed soon, and realizes criteria for classification.
Technical scheme: for achieving the above object, the present invention adopts following technical scheme:
Based on the solar battery sheet sorting technique of LabVIEW, it is characterized in that, comprise the steps:
Step 201, Received signal strength, gather image:
Step 2011, solar battery sheet is sent to sensing station via travelling belt, and sensor sends a signal to data collecting card, is converted to digital signal transfers to system program through described capture card;
Step 2012, after system program receives described digital signal, triggers camera, gathers image, and by the solar battery sheet image transfer that collects to image processing module;
Step 202, coordinate transform and Iamge Segmentation are carried out to solar battery sheet coloured image:
Step 2021, carries out coordinate transform to the solar battery sheet coloured image collected, and adopts FindEdge.vi to search the border that boundary operator finds out cell piece, obtains the angle information on described border; The lookup method of this operator is a first given fixing region of search, in this region of search, described operator arranges some scounting lines from top to bottom in this region, search the transition point of cell piece boundary pixel, transition point on all scounting lines is fitted to straight line, thus obtains the angle information of gained boundary straight line; Its angle information is formula (1):
angle
1＝α(1)
Then utilize IMAQ Rotate.vi by solar battery sheet image rotation, carry out coordinate transform, for color images is prepared; In order to realize the arbitrarily angled equal energy segmentation of cell piece, the computing formula of employing is as formula (2):
angle＝360°-α(2)；
Step 2022, utilizes IMAQ Find Edge.vi operator to carry out edge finding to the four edges of solar battery sheet respectively; And utilize this operator to obtain the coordinate information on edge line two summits of respective matching;
Step 2023, respectively with four of above-mentioned steps gained groups of apex coordinates for the factor, utilize binding bunch operator to its combination of two, try to achieve four edges edge straight line: left hand edge, right hand edge, coboundary, lower limb;
Based on obtained four edges edge straight line, IMAQ Lines Intersection.vi operator is utilized to ask for intersection point a, b of left hand edge and coboundary, right hand edge and lower limb successively; With an a and some b for splitting the starting point and ending point of interesting image regions, Convert Rectangle to ROI.vi operator is utilized to obtain solar battery sheet and background separation this volume image out;
Step 203, with coloured image HSI space for foundation, adopt ExtractColorPlanes.vi operator to be H, S, I tri-planes by the picture breakdown of above-mentioned gained solar battery sheet, and utilize IMAQ Histograph.vi operator to obtain the gray value information of three planes respectively;
Step 204, by the gray value information of above-mentioned gained three planes merge stored in a two-dimensional array;
Step 205, require self-defined sample typing total amount and number of samples of all categories according to manufacturer, utilize the two-dimensional array representing gray value information of all categories in subset of array operator extraction sample, the two-dimensional array of above-mentioned gained two-dimensional array and extraction is done parameter comparison and similarity computing; Using the result distance of described similarity computing as criteria for classification, distance value is larger, represents that the difference of two two-dimensional arrays is larger, namely represent tested cell piece and this template more dissimilar, otherwise distance value is less, tested cell piece is more similar to corresponding templates;
Step 206, by all for above-mentioned gained distance values stored in one-dimension array, utilize array maximal value and minimum value operator to search distance value minimum in this array and the call number x of correspondence thereof;
If step 207, gained call number x meet formula (3):
S
n-1<x<S
n-1+S
n(3)
The tested cell piece for similarity computing that then call number x is corresponding is divided into Sn classification;
Wherein, S
n-1represent self-defining (n-1)th classification of production firm, S
nrepresent self-defining n-th classification of production firm.
Beneficial effect: compared with prior art, 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, LabVIEW software program is utilized to carry out information extraction and analytic operation to this image, solar battery sheet is classified according to the self-defined standard of manufacturer with can realizing real-time online, and stability and high efficiency, criteria for classification, fast and convenient.
Accompanying drawing explanation
Fig. 1 is solar battery sheet classification overview flow chart;
Fig. 2 is that solar battery sheet arrives sensing station vertical view;
Fig. 3 is the result images after solar battery sheet searches edge in step 2021;
Fig. 4 is the image of solar battery sheet in step 2021 before and after coordinate transform;
Fig. 5 is the result images of solar battery sheet after color images in step 2023;
Fig. 6 is the image of H, S, I tri-planes that in step 203, solar battery sheet extracts through HSI color space;
Fig. 7 is the process flow diagram generating solar battery sheet Sample Storehouse;
The operation result figure that Fig. 8 is the self-defined sample number of typing when being 80;
Fig. 9 is the display image of some operators in LabVIEW used by 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 have employed image coordinate converter technique, color Image Segmentation, coloured image HSI Spatial Data Analysis, image processing techniques etc. and processes the solar cell picture gathered and analyze, and is classified by solar battery sheet according to the self-defined requirement of production firm.
As shown in Figure 1, based on the solar battery sheet sorting technique of LabVIEW, comprise the steps:
Step 201, Received signal strength, gather image, it comprises:
Step 2011, when solar battery sheet goes out the gaily decorated basket, as shown in Figure 2, when cell piece 4 marches to photoelectric sensor 3 place of under white background plate 2 on travelling belt 1, shelter from photoelectric sensor 3, photoelectric sensor 3 sends a signal to data collecting card, is converted to digital signal transfers to system program through described capture card;
Step 2012, after system program receives described digital signal, triggers camera, gathers image, and by the solar battery sheet image transfer that collects to image processing module;
Step 202, carry out coordinate transform and Iamge Segmentation to solar battery sheet coloured image, it comprises:
Step 2021, carries out coordinate transform to the solar battery sheet coloured image collected, and adopts FindEdge.vi to search the border that boundary operator finds out cell piece, obtains the angle information on described border; The lookup method of this operator is a first given fixing region of search, in this region of search, described operator arranges some scounting lines from top to bottom in this region, search the transition point of cell piece boundary pixel, transition point on all scounting lines is fitted to straight line, as shown in Figure 3, straight line 4 is by the straight line of transition point matching, thus obtains the angle information of gained boundary straight line; Its angle information is formula (1):
angle
1＝α(1)
Then utilize IMAQ Rotate.vi by solar battery sheet image rotation, carry out coordinate transform, as shown in Figure 4, Fig. 4 left side is arbitrary putting position cell piece on travelling belt, it is the cell piece after coordinate transform on the right of Fig. 4, for color images is prepared, the computing formula that this operator adopts is as formula (2):
angle＝360°-α(2)
Step 2022, utilizes IMAQ Find Edge.vi operator to carry out edge finding to the four edges of solar battery sheet respectively; And utilize this operator to obtain the coordinate information on edge line two summits of respective matching;
Step 2023, respectively with four of above-mentioned steps gained groups of (left, up, right, down edge line) apex coordinates for the factor, utilize binding bunch operator to its combination of two, try to achieve four edges edge straight line: left hand edge, right hand edge, coboundary, lower limb;
Based on obtained four edges edge straight line, IMAQ Lines Intersection.vi operator is utilized to ask for the intersection point b of the intersection point a of left hand edge and coboundary, right hand edge and lower limb successively; With an a and some b for splitting the starting point and ending point of interesting image regions, Convert Rectangle to ROI.vi operator is utilized to obtain solar battery sheet and background separation this volume image out, as shown in Figure 5;
Step 203, with coloured image HSI space for foundation, ExtractColorPlanes.vi operator is adopted to be H, S, I tri-planes by the picture breakdown of above-mentioned gained solar battery sheet, as shown in Figure 6, the e figure of Fig. 6 is H plane, f figure is S plane, g figure is I, and utilizes IMAQ Histograph.vi operator to obtain the gray value information of three planes respectively;
Step 204, by the gray value information of above-mentioned gained three planes merge stored in a two-dimensional array;
The product process figure in step 205, solar battery sheet template samples storehouse as shown in Figure 7, when system program receives the signal of photoelectric sensor, trigger camera, gather image, coordinate transform and Iamge Segmentation are carried out to coloured image, then extract the half-tone information of each plane in HIS color space, respectively stored in one-dimension array, then three one-dimension array are merged into a two-dimensional array, stored in self-defining Microsoft Excel, complete the sample typing to a cell piece.After Sample Storehouse generates and terminates, self-defined sample typing total amount and number of samples of all categories is required according to manufacturer, utilize the two-dimensional array representing gray value information of all categories in subset of array operator extraction sample, the two-dimensional array of above-mentioned gained two-dimensional array and extraction is done parameter comparison and similarity computing; Using the result distance of described similarity computing as criteria for classification, distance value is larger, represents that the difference of two two-dimensional arrays is larger, namely represent tested cell piece and this template more dissimilar, otherwise distance value is less, tested cell piece is more similar to corresponding templates.
Step 206, by all for above-mentioned gained distance values stored in one-dimension array, utilize array maximal value and minimum value operator to search distance value minimum in this array and the call number x of correspondence thereof;
If step 207, gained call number x meet formula (3):
S
n-1<x<S
n-1+S
n(3)
The tested cell piece for similarity computing that then call number x is corresponding is divided into Sn classification.
Wherein, S
n-1represent self-defining (n-1)th classification of production firm, S
nrepresent self-defining n-th classification of production firm.
As shown in Figure 8, an example of the present invention, in example, the self-defined sample number of typing is 80, and the sample number of colour system 1, colour system 2, colour system 3, colour system 4, colour system 5, colour system 6, colour system 7, colour system 8 is 10; The postrun result of program is this cell piece place colour system is colour system 7.Fig. 9 is the display image of some operators in LabVIEW used by the present invention.
Through above-mentioned seven steps, avoid standard ambiguity when manually solar battery sheet being classified, greatly reduce the stardard uncertairty in traditional classification process, sorting error and contact cell piece the fragment rate caused, meet real-time online Fast Classification simultaneously, while enhancing productivity, ensure the uniqueness of the self-defined standard of manufacturer, and system program is stable, reliable.
Claims (1)
1., based on the solar battery sheet sorting technique of LabVIEW, it is characterized in that, comprise the steps:
Step 201, Received signal strength, gather image:
Step 2011, solar battery sheet is sent to sensing station via travelling belt, and sensor sends a signal to data collecting card, is converted to digital signal transfers to system program through described capture card;
Step 2012, after system program receives described digital signal, triggers camera, gathers image, and by the solar battery sheet image transfer that collects to image processing module;
Step 202, coordinate transform and Iamge Segmentation are carried out to solar battery sheet coloured image:
Step 2021, carries out coordinate transform to the solar battery sheet coloured image collected, and adopts FindEdge.vi to search the border that boundary operator finds out cell piece, obtains the angle information on described border; The lookup method of this operator is a first given fixing region of search, in this region of search, described operator arranges some scounting lines from top to bottom in this region, search the transition point of cell piece boundary pixel, transition point on all scounting lines is fitted to straight line, thus obtains the angle information of gained boundary straight line; Its angle information is formula (1):
angle
1＝α (1)
Then utilize IMAQ Rotate.vi by solar battery sheet image rotation, carry out coordinate transform, for color images is prepared; In order to realize the arbitrarily angled equal energy segmentation of cell piece, the computing formula of employing is as formula (2):
angle＝360°-α (2)；
Step 2022, utilizes IMAQ Find Edge.vi operator to carry out edge finding to the four edges of solar battery sheet respectively; And utilize this operator to obtain the coordinate information on edge line two summits of respective matching;
Step 2023, respectively with four of above-mentioned steps gained groups of apex coordinates for the factor, utilize binding bunch operator to its combination of two, try to achieve four edges edge straight line: left hand edge, right hand edge, coboundary, lower limb;
Based on obtained four edges edge straight line, IMAQ Lines Intersection.vi operator is utilized to ask for intersection point a, b of left hand edge and coboundary, right hand edge and lower limb successively; With an a and some b for splitting the starting point and ending point of interesting image regions, Convert Rectangle to ROI.vi operator is utilized to obtain solar battery sheet and background separation this volume image out;
Step 203, with coloured image HSI space for foundation, adopt ExtractColorPlanes.vi operator to be H, S, I tri-planes by the picture breakdown of above-mentioned gained solar battery sheet, and utilize IMAQ Histograph.vi operator to obtain the gray value information of three planes respectively;
Step 204, by the gray value information of above-mentioned gained three planes merge stored in a two-dimensional array;
Step 205, require self-defined sample typing total amount and number of samples of all categories according to manufacturer, utilize the two-dimensional array representing gray value information of all categories in subset of array operator extraction sample, the two-dimensional array of above-mentioned gained two-dimensional array and extraction is done parameter comparison and similarity computing; Using the result distance of described similarity computing as criteria for classification, distance value is larger, represents that the difference of two two-dimensional arrays is larger, namely represent tested cell piece and this template more dissimilar, otherwise distance value is less, tested cell piece is more similar to corresponding templates;
Step 206, by all for above-mentioned gained distance values stored in one-dimension array, utilize array maximal value and minimum value operator to search distance value minimum in this array and the call number x of correspondence thereof;
If step 207, gained call number x meet formula (3):
S
n-1<x<S
n-1+S
n(3)
The tested cell piece for similarity computing that then call number x is corresponding is divided into Sn classification;
Wherein, S
n-1represent self-defining (n-1)th classification of production firm, S
nrepresent self-defining n-th classification of production firm.
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| CN106709529A (en) * | 2017-01-18 | 2017-05-24 | 河北工业大学 | Visual detection method for color difference classification of photovoltaic cells |
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| CN107843600A (en) * | 2017-10-31 | 2018-03-27 | 河北工业大学 | A kind of method of polysilicon solar battery slice outward appearance impression of the hand defects detection |
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| CN107843600A (en) * | 2017-10-31 | 2018-03-27 | 河北工业大学 | A kind of method of polysilicon solar battery slice outward appearance impression of the hand defects detection |
| 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 |
| CN114719771A (en) * | 2022-04-20 | 2022-07-08 | 广东工业大学 | Non-contact in-situ measurement method for multi-dimensional high-temperature geometric deformation of material |
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Address after: Room 301, building C30, R & D zone, No. 99 Chuqiao Road, Zhenjiang New District, Jiangsu Province, 212013 Patentee after: ZHENJIANG SYD TECHNOLOGY Co.,Ltd. Address before: 212013 Zhenjiang City, Jiangsu province Jingkou District No. 301 School of Jiangsu University Patentee before: ZHENJIANG SYD TECHNOLOGY Co.,Ltd. |
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Application publication date: 20151007 Assignee: Zhenjiang yinuoweisi Intelligent Technology Co.,Ltd. Assignor: ZHENJIANG SYD TECHNOLOGY Co.,Ltd. Contract record no.: X2022320000303 Denomination of invention: A Classification Method of Solar Cells Based on LabVIEW Granted publication date: 20180313 License type: Common License Record date: 20221210 |
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Inventor after: Sun Zhiquan Inventor after: Tong Gang Inventor after: Zhou Qi Inventor before: Sun Zhiquan Inventor before: Tong Gang Inventor before: Zhao Buhui Inventor before: Zhang Qian Inventor before: Zhou Qi |
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Assignee: Zhenjiang yinuoweisi Intelligent Technology Co.,Ltd. Assignor: ZHENJIANG SYD TECHNOLOGY Co.,Ltd. Contract record no.: X2022320000303 Date of cancellation: 20240116 |