CN108988786B - Photovoltaic cell efficiency figure compresses measuring device and measuring method - Google Patents
Photovoltaic cell efficiency figure compresses measuring device and measuring method Download PDFInfo
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- 239000000284 extract Substances 0.000 claims abstract description 5
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- 238000003384 imaging method Methods 0.000 claims description 15
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- 210000004027 cell Anatomy 0.000 description 51
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- 230000007547 defect Effects 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 6
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- 238000005401 electroluminescence Methods 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The present invention provides a kind of photovoltaic cell efficiency figures to compress measuring device and measuring method, and photovoltaic cell efficiency figure compresses measuring device and is made of sample to be tested platform, structured light projection module, surface characteristics image-forming module, Surface characterization module, random patterns generation module, projection pattern generation module, current measurement module, current graph reconstructed module；Photovoltaic cell efficiency figure compresses measurement method using photovoltaic cell grid line and the big feature of photovoltaic material surface characteristic difference, battery surface to be measured is imaged using image processing method and extracts grid line information as surface-feature image, complexity of the photovoltaic cell efficiency figure signal in compressed sensing model is reduced using surface-feature image, reach reduction sample rate, improves the purpose of measurement efficiency.
Description
Technical field
The invention belongs to test and measuring technical field, more particularly to a kind of photovoltaic cell efficiency figure compress measuring device and
Measurement method.
Background technique
The photoelectric conversion effect of photovoltaic cell is most potential solar-electrical energy transform mode, however photovoltaic cell exists
Production, deployment easily introduce the surface defects such as fragmentation, crack in use process, greatly reduce photovoltaic cell quality and
Service life.The surface defect of efficient detection photovoltaic cell, and sifting sort is carried out to photovoltaic cell, relic is cut again,
It is to improve product quality, consistency, the steps necessary for saving cost.
It is the summation of the photoelectric yield of each point since the output of photovoltaic cell is the integral of entire light-receiving surface, thus it is difficult
With the photoelectric yield of each point of determination, it is also difficult to determine the specific location of surface defect.Thus fast and accurately to photovoltaic cell
Efficiency figure imaging, be detect photovoltaic cell surface defect premise.
The photovoltaic cell efficiency figure imaging method being widely used at present is divided into two classes:
For first kind method using optical beam induced current method as representative, this kind of methods use laser, illuminate photovoltaic cell point by point
Each test point simultaneously tests output, and then obtains entire efficiency figure in region to be measured.This kind of method imaging precisions are high, Neng Gouzhen
Reflect the efficiency situation in the case of photovoltaic cell real work in fact, however the significant drawback of this method is that image taking speed is too slow.
Second class method is that biased electrical is added in photoelectric material interpolar based on the electroluminescence characters of photovoltaic material
Pressure, to photoelectric material because the faint infra-red radiation that electroluminescent effect generates is imaged, the essence of such methods is to photovoltaic material
Structure imaging, obtain equivalent photovoltaic cell efficiency figure using material structure image, this kind of method image taking speeds are fast, differentiate
Rate is high, however specific photovoltaic material can only be imaged in this method, and the efficiency figure obtained is equivalent image, can not be true
Reflect the efficiency figure under photovoltaic cell actual working state.
The optical beam induced current method based on compressive sensing theory proposed in recent years, output of the structure light to photovoltaic cell
It is modulated, the efficiency figure in region to be measured is exported and reconstructed using compressed sensing restructing algorithm after measurement modulation.Based on compression
The optical beam induced current method of perception only needs a small amount of measured value that can reconstruct the efficiency figure of device under test, and eliminates frequently
Machinery positioning step, measuring speed can be significantly improved, however in the signal model of this method, the grid on photovoltaic cell surface
Polar curve is equivalent to surface defect, greatly improves the complexity of signal, therefore there is still a need for more measured values to reconstruct electricity
The efficiency image of pond plate is lower to determine the location and shape of actual defects, measurement efficiency.
In conclusion in terms of photovoltaic cell efficiency figure imaging, traditional optical beam induced current method is there are image taking speed slow
There is the shortcomings that reflecting practical efficiency situation in disadvantage, electroluminescent third contact of a total solar or lunar eclipse method, compressed sensing based optical beam induced current method has measurement
The shortcomings that low efficiency.
Summary of the invention
The purpose of the present invention is to provide a kind of photovoltaic cell efficiency figures to compress measuring device and measuring method, solves existing
There is photovoltaic cell efficiency figure image taking speed in technology slow, compressed sensing based optical beam induced current method is asked there are measurement efficiency is low
Topic.
The technical scheme adopted by the invention is that photovoltaic cell efficiency figure compresses measuring device, by sample to be tested platform, structure
Light projection module, surface characteristics image-forming module, Surface characterization module, projection pattern generation module, random patterns generate mould
Block, current measurement module, current graph reconstructed module composition；
Sample to be tested platform, for placing sample, and with structured light projection module and the alignment of surface characteristics image-forming module and
Export total output electric current of sample；
Surface characteristics image-forming module, for sample surfaces reflected light to be imaged, increasing secondary light source enhances imaging effect, and
The surface-feature image of sample is transmitted to Surface characterization module；
Surface characterization module is extracted for the surface characteristics to sample, and transmits information to projection pattern
Generation module；
Random patterns generation module, for generating original random patterns sequence and being transmitted to projection pattern generation module；
Pattern generation module is projected, for generating accidental projection figure according to original random patterns sequence and surface characteristics information
Sample sequence is simultaneously transmitted to structured light projection module and current graph reconstructed module；
Structured light projection module generates structure light for carrying out projection according to accidental projection pattern sequence；
Current measurement module is transmitted to current graph reconstructed module for accurate current measurement and by measured value；
Current graph reconstructed module, for sample current to be reconstructed according to the measured value of accidental projection pattern sequence and collection
Figure obtains the efficiency figure of sample to be tested.
Further, the sample to be tested platform is using moveable insulating substrate and test probe.
Further, the sample to be tested platform realizes the side being aligned with structured light projection module and surface characteristics image-forming module
Formula is mobile sample to be tested platform or moving structure light projection module and surface characteristics image-forming module.
Further, the surface characteristics image-forming module uses any one of Visible Light Camera, infrared camera.
Further, the structured light projection module uses any one of liquid crystal, projector, scanning laser.
Further, the current measurement module uses transimpedance amplifier and analog-digital converter, Hall sensor and mould
Any one of number converter.
Another technical solution adopted in the present invention is that the measurement method of photovoltaic cell efficiency figure compression measuring device,
Specifically follow the steps below:
Step S1, the mobile photovoltaic cell of sample to be tested platform, so that surface characteristics image-forming module is directed at photovoltaic cell, surface is special
The surface-feature image of image-forming module acquisition photovoltaic cell is levied, and acquired image is sent to Surface characterization module and is carried out
Analysis, Surface characterization module will analyze resulting area information input projection pattern generation module to be measured, meanwhile, at random
Pattern generation module by the original random patterns sequence inputting of generation to projection pattern generation module；Project pattern generation module root
Final accidental projection pattern sequence is generated according to the measured zone information and original random patterns sequence of input, and is transmitted to structure
Light projection module and current graph reconstructed module；
Step S2, sample to be tested platform moves photovoltaic cell to structured light projection module projection matching region, structured light projection
Module projects the region to be measured of photovoltaic cell using each projection pattern of accidental projection pattern sequence, utilizes simultaneously
Current measurement module measures the corresponding total output current value of sample, constitutes measurement sample vector, and is output to current graph reconstruct mould
Block；
Step S3, right using measurement sample vector and accidental projection pattern sequence as the input of current graph reconstructed module
Observed result carries out compressed sensing reconstruct, generates photovoltaic cell efficiency figure in region to be measured.
Further, the step S1, specifically follows the steps below:
Step S11, the mobile photovoltaic cell of sample to be tested platform is used up so that surface characteristics image-forming module is directed at photovoltaic cell
Lie prostrate the monochromatic light uniform illumination photovoltaic cell region to be measured within the scope of battery absorbing wavelength；
Step S12, surface-feature image is generated to regional imaging to be measured with surface characteristics image-forming module；
Step S13, surface-feature image binaryzation is generated binaryzation grid line image by Surface characterization module；Table
Region feature extraction module carries out edge detection to binaryzation grid line image using edge detection method, obtains gate line edge figure
Picture；
Step S14, Surface characterization module detects gate line edge image using line detection method, obtains
Multistage grid line line segment；
Step S15, Surface characterization module extends obtained multistage grid line line segment, makes itself and binaryzation grid
Polar curve image boundary constitutes connected domain, using the connected domain constituted as grid line region；
Step S16, Surface characterization module by binaryzation grid line image correspond to grid line region in picture
Vegetarian refreshments is labeled as 1, is labeled as 0 corresponding to the pixel outside grid line region, generates masking-out image and is input to projection pattern life
At module；
Step S17, random patterns generation module acquisition area size to be measured, every row points r to be measured, each column points c to be measured,
Sample rate s is calculated sampling matrix line number M=ceil (c × r × s), and ceil is bracket function, and sample rate s is decimal, and ceil is protected
Card line number M is integer, columns N=r × c；The original random patterns sequence of M row N column is generated, pattern pixel value is using obedience two
The independent same distribution element filling of the random Bernoulli Jacob's distribution of value generates compressed sensing projected image and puts into projection pattern life
At module；Masking-out image is subjected to equal proportion scaling, keeps its pixel number identical as the columns of compressed sensing projected image；
Step S18, projection pattern generation module will correspond in masking-out image in compressed sensing projected image and mark
All pixels value in the column of pixel is set to 0, generates masking-out observed image；
Step S19, the pattern for arranging every a line pixel rearrangement of masking-out observed image at an a row b generates final
Accidental projection pattern sequence, and be transmitted to structured light projection module and current graph reconstructed module.
Further, the value of a and the value of points r to be measured of the every row in region to be measured are identical in the step S19, the value of b with
The value of the points c to be measured of region each column to be measured is identical.
The invention has the advantages that one, sampling efficiency of the present invention is higher, speed faster, the present invention use using extract
Grid line prior information eliminate sampling and restructuring procedure to grid line, reduce reconstruction signal complexity, measurement effect
Rate is higher, speed faster；
Two, photovoltaic cell efficiency figure compression measurement method reconstruct details proposed by the present invention is more prominent, eliminates compression sense
The gate line signal being reconstructed first in perception model as big signal enables real flaw indication more accurately to be weighed
Structure, thus details is more prominent；
Three, photovoltaic cell efficiency figure compression measurement method noise level proposed by the present invention is lower, and the present invention uses masking-out
Pattern avoids the apparent grid line region of reflection, and noise, thus noise level are measured caused by eliminating because of grid line reflection
It is lower.
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 attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is photovoltaic cell efficiency figure compression measuring device figure；
Fig. 2 is the implementation example figure of photovoltaic cell efficiency figure compression measuring device；
Fig. 3 is the surface-feature image of embodiment；
Fig. 4 is the binaryzation grid line image of embodiment；
Fig. 5 is the gate line edge image of embodiment；
Fig. 6 is the multistage grid line line segment image of embodiment；
Fig. 7 is the connected domain figure of embodiment；
Fig. 8 is the masking-out image of embodiment；
Fig. 9 is the image of a line of the masking-out observing matrix of embodiment；
Figure 10 is the resulting efficiency figure in region to be measured of the reconstruct of embodiment.
In figure, 1. sample to be tested platforms, 2. structured light projection modules, 3. surface characteristics image-forming modules, 4. Surface characterizations
Module, 5. projection pattern generation modules, 6. random patterns generation modules, 7. current measurement modules, 8. current graph reconstructed modules.
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.
Thinking of the invention is, using photovoltaic cell grid line and the big feature of photovoltaic material surface characteristic difference, to utilize
Image processing method is imaged battery surface to be measured and extracts grid line information as surface-feature image, utilizes surface characteristics figure
As reducing complexity of the photovoltaic cell efficiency figure signal in compressed sensing model, reaches reduction sample rate, improve measurement efficiency
Purpose.
Photovoltaic cell efficiency figure compresses measuring device, as shown in Figure 1, by sample to be tested platform 1, structured light projection module 2, table
Region feature image-forming module 3, Surface characterization module 4, projection pattern generation module 5, random patterns generation module 6, electric current are surveyed
Measure module 7, current graph reconstructed module 8 forms；
Sample to be tested platform 1, for place sample and structured light projection module 2 and surface characteristics image-forming module 3 alignment and
The total output electric current for exporting sample, using moveable insulating substrate and test probe；
Sample to be tested platform 1 realizes that the mode being aligned is to move with moving structure light projection module 2 and surface characteristics image-forming module 3
Dynamic sample stage or moving structure light projection module 2 and surface characteristics image-forming module 3, can be by structured light projection module 2 and surface
Characteristic imaging module 3, which is fixed on moveable shelf, makes moving structure light projection module 2 and surface characteristics image-forming module 3 right
Quasi- sample to be tested platform 1；
Surface characteristics image-forming module 3, for sample surfaces reflected light to be imaged, increasing secondary light source enhances imaging effect,
And the surface-feature image of sample is transmitted to Surface characterization module 4；Using any in Visible Light Camera, infrared camera
Kind；
Surface characterization module 4 is extracted for the surface characteristics to sample, and transmits information to projection pattern
Generation module 5；
Random patterns generation module 6, for generating original random patterns sequence and being transmitted to projection pattern generation module 5；
Pattern generation module 5 is projected, for generating accidental projection according to original random patterns sequence and surface characteristics information
Pattern sequence is simultaneously transmitted to structured light projection module 2 and current graph reconstructed module 8；
Structured light projection module 2 generates structure light for carrying out projection according to accidental projection pattern sequence；Using liquid crystal,
Any one of projector, scanning laser；
Current measurement module 7 is transmitted to current graph reconstructed module 8 for accurate current measurement and by measured value；Using
Any one of transimpedance amplifier and analog-digital converter, Hall sensor and analog-digital converter；
Current graph reconstructed module 8, for sample electricity to be reconstructed according to the measured value of accidental projection pattern sequence and collection
Flow graph obtains the efficiency figure of sample to be tested；
Current graph reconstructed module 8, Surface characterization module 4, random patterns generation module 6, projection pattern generation module
5, specific installation or software realization can be used, a calculating equipment can also be used uniformly and realized.
Photovoltaic cell efficiency figure compresses the measurement method of measuring device, specifically follows the steps below:
Step S1, the mobile photovoltaic cell of sample to be tested platform 1, so that surface characteristics image-forming module 3 is directed at photovoltaic cell, surface
Characteristic imaging module 3 acquires the surface-feature image of photovoltaic cell, and acquired image is sent to Surface characterization module 4
It is analyzed, Surface characterization module 4 will analyze resulting area information input projection pattern generation module 5 to be measured, together
When, random patterns generation module 6 by the original random patterns sequence inputting of generation to projection pattern generation module 5；Project pattern
Generation module 5 generates final accidental projection pattern sequence according to the measured zone information and original random patterns sequence of input,
And it is transmitted to structured light projection module 2 and current graph reconstructed module 8；
Step S11, the mobile photovoltaic cell of sample to be tested platform 1 is used so that surface characteristics image-forming module 3 is directed at photovoltaic cell
Monochromatic light uniform illumination photovoltaic cell region to be measured within the scope of photovoltaic cell absorbing wavelength；Photovoltaic cell has transformation efficiency, no
Be to fully absorb, therefore understand the reflection of some light, absorb the good feature of light ability using photovoltaic cell, photovoltaic material region and
The reflectivity in grid line region is different, causes brightness of image different, could extract region to be measured；
Step S12, surface-feature image is generated to regional imaging to be measured with surface characteristics image-forming module 3；
Step S13, surface-feature image binaryzation is generated binaryzation grid line image by Surface characterization module 4；Table
Region feature extraction module 4 carries out edge detection to binaryzation grid line image using edge detection method, obtains gate line edge
Image；
Step S14, Surface characterization module 4 detects gate line edge image using line detection method, obtains
To multistage grid line line segment；
Step S15, Surface characterization module 4 extends obtained multistage grid line line segment, makes itself and binaryzation
Grid line image boundary constitutes connected domain, using the connected domain constituted as grid line region；
Step S16, Surface characterization module 4 by binaryzation grid line image correspond to grid line region in picture
Vegetarian refreshments is labeled as 1, is labeled as 0 corresponding to the pixel outside grid line region, generates masking-out image and is input to projection pattern life
At module 5；
Step S17, random patterns generation module 6 obtains area size to be measured, every row points r to be measured, each column points to be measured
C, sample rate s are calculated sampling matrix line number M=ceil (c × r × s), and ceil is bracket function, and sample rate s is decimal, ceil
Guarantee line number M is integer, columns N=r × c；The original random patterns sequence of M row N column is generated, pattern pixel value is using obedience two
The independent same distribution element filling of the random Bernoulli Jacob's distribution of value generates compressed sensing projected image and puts into projection pattern life
At module 5；Masking-out image is subjected to equal proportion scaling, keeps its pixel number identical as the columns of compressed sensing projected image；
Step S18, projection pattern generation module 5 is by label in masking-out image is corresponded in compressed sensing projected image
Pixel column in all pixels value be set to 0, generate masking-out observed image；
Step S19, the pattern for arranging every a line pixel rearrangement of masking-out observed image at an a row b generates final
Accidental projection pattern sequence, and be transmitted to structured light projection module 2 and current graph reconstructed module 8, wherein the value of a with it is to be measured
The value of the points r to be measured of the every row in region is identical, and the value of b is identical as the value of points c to be measured of region each column to be measured；
Step S2, the mobile photovoltaic cell of sample to be tested platform 1 is thrown to 2 projection matching region of structured light projection module, structure light
Shadow module 2 projects the region to be measured of photovoltaic cell using each projection pattern of accidental projection pattern sequence, simultaneously
The corresponding total output current value of sample is measured using current measurement module 7, constitutes measurement sample vector, and be output to current graph weight
Structure module 8；
Step S3, right using measurement sample vector and accidental projection pattern sequence as the input of current graph reconstructed module 8
Observed result carries out compressed sensing reconstruct, generates photovoltaic cell efficiency figure in region to be measured.
Embodiment
Step S1, it acquires solar panel surface-feature image and generates final accidental projection pattern sequence, such as Fig. 2
It is shown；
Step S11, the mobile solar panel of sample to be tested platform 1, so that surface characteristics image-forming module 3 is directed at solar-electricity
Pond plate, with the monochromatic light uniform illumination solar panel region to be measured within the scope of solar panel absorbing wavelength；
Step S12, surface-feature image is generated to regional imaging to be measured with Visible Light Camera；
In the present embodiment, the solar panel that length and width are 5.6mm is illuminated using 460nm blue light, and it is low to acquire its
Distort gray level image, each 500 pixel of image length and width, and surface-feature image collected is as shown in Figure 3；
Step S13, surface-feature image binaryzation is generated binaryzation grid line image, this reality by grid line extraction module
The binaryzation grid line image applied in example is as shown in Figure 4；Grid line extraction module is using canny edge detection method to binaryzation
Grid line image carries out edge detection, obtains gate line edge image, gate line edge image such as Fig. 5 institute in the present embodiment
Show；
Step S14, grid line extraction module detects gate line edge image using Hough line detection method,
It obtains multistage grid line line segment, in the present embodiment, band endpoint in resulting line segment such as figure is detected using Hough line detection method
Line segment is as shown in Figure 6；
Step S15, grid line extraction module extends obtained multistage grid line line segment, makes itself and binaryzation grid
Line image boundary constitutes connected domain, using the connected domain constituted as grid line region, in the present embodiment, and the connected domain that is constituted
As shown in black region in Fig. 7；
Step S16, grid line extraction module by binaryzation grid line image correspond to grid line region in pixel
Point is labeled as 1, is labeled as 0 corresponding to the pixel outside grid line region, generates masking-out image and is input to Bernoulli Jacob's Random Graph
Sample generation module, in the present embodiment, masking-out image generated is as shown in figure 8, be wherein shown as white labeled as 1 pixel
Color is shown as black labeled as 0 pixel；
Step S17, Bernoulli Jacob's random patterns generation module acquisition area size to be measured, every row points r to be measured, each column are to be measured
Count c, sample rate s, calculates sampling matrix line number M=ceil (c × r × s), columns N=r × c；Generate M row N column it is original with
Machine pattern sequence, pattern pixel value generate pressure using the independent same distribution element filling for obeying the random Bernoulli Jacob's distribution of binaryzation
Contracting perception projected image is simultaneously input to Bernoulli Jacob's random patterns generation module；Masking-out image is subjected to equal proportion scaling, makes its picture
Prime number is identical as the columns of compressed sensing projected image；In the present embodiment, r=100, c=100, s=0.3, M=3000, N=
10000, compressed sensing projected image is 3000 rows 10000 column, and masking-out image is zoomed in and out, can be matched in order to point-to-point,
Such a pixel could correspond to a matrix element, keep its pixel number equal with the columns of compressed sensing projected image；
Step S18, projection pattern generation module 5 is by label in masking-out image is corresponded in compressed sensing projected image
Pixel column in all pixels value be set to 0, generate masking-out observed image；
Step S19, the pattern for arranging every a line pixel rearrangement of masking-out observed image at an a row b generates final
Accidental projection pattern sequence；In the present embodiment, accidental projection pattern sequence such as Fig. 9 institute of 100 rows 100 column generated
Show, wherein black pixel point representing matrix element value is 0；
Step S2, to projector's projection matching region, projector uses random the mobile solar panel of sample to be tested platform 1
Each projection pattern of projection pattern sequence projects the region to be measured of solar panel, while being converted using I/V
Device and analog-digital converter measure the corresponding total output current value of sample, constitute measurement sample vector, and be output to Min-TV electric current
Figure reconstructed module；
Step S3, using measurement sample vector and projection pattern sequence as the input of Min-TV method, to observed result
Compressed sensing reconstruct is carried out, solar panel efficiency figure in region to be measured is generated, in the present embodiment, reconstructs resulting region to be measured
Efficiency figure is as shown in Figure 10, and wherein pixel indicates that photoelectric conversion efficiency is lower closer to black, indicates that photoelectricity turns closer to white
It is higher to change efficiency.
Each embodiment in this specification is all made of relevant mode and describes, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (8)
1. photovoltaic cell efficiency figure compresses measuring device, which is characterized in that by sample to be tested platform (1), structured light projection module
(2), surface characteristics image-forming module (3), Surface characterization module (4), projection pattern generation module (5), random patterns generate
Module (6), current measurement module (7), current graph reconstructed module (8) composition；
Sample to be tested platform (1) is aligned for placing sample, and with structured light projection module (2) and surface characteristics image-forming module (3)
And total output electric current of output sample；
Surface characteristics image-forming module (3), for sample surfaces reflected light to be imaged, increasing secondary light source enhances imaging effect, and
The surface-feature image of sample is transmitted to Surface characterization module (4)；
Surface characterization module (4), extracts for the surface characteristics to sample, and it is raw to transmit information to projection pattern
At module (5)；
Random patterns generation module (6), for generating original random patterns sequence and being transmitted to projection pattern generation module (5)；
It projects pattern generation module (5), for generating accidental projection figure according to original random patterns sequence and surface characteristics information
Sample sequence is simultaneously transmitted to structured light projection module (2) and current graph reconstructed module (8)；
Structured light projection module (2) generates structure light for carrying out projection according to accidental projection pattern sequence；
Current measurement module (7) is transmitted to current graph reconstructed module (8) for accurate current measurement and by measured value；
Current graph reconstructed module (8), for sample current to be reconstructed according to the measured value of accidental projection pattern sequence and collection
Figure obtains the efficiency figure of sample to be tested.
2. photovoltaic cell efficiency figure according to claim 1 compresses measuring device, which is characterized in that the sample to be tested platform
(1) using moveable insulating substrate and test probe.
3. photovoltaic cell efficiency figure according to claim 1 compresses measuring device, which is characterized in that the sample to be tested platform
(1) realize that the mode being aligned is mobile sample to be tested platform (1) with structured light projection module (2) and surface characteristics image-forming module (3),
Or moving structure light projection module (2) and surface characteristics image-forming module (3).
4. photovoltaic cell efficiency figure according to claim 1 compresses measuring device, which is characterized in that the surface characteristics at
As module (3) are using any in Visible Light Camera, infrared camera.
5. photovoltaic cell efficiency figure according to claim 1 compresses measuring device, which is characterized in that the structured light projection
Module (2) uses any one of liquid crystal, projector, scanning laser.
6. the measurement method of the photovoltaic cell efficiency figure compression measuring device as described in claim 1-5 any one, feature
It is, specifically follows the steps below:
Step S1, the mobile photovoltaic cell of sample to be tested platform (1), so that surface characteristics image-forming module (3) is directed at photovoltaic cell, surface
Characteristic imaging module (3) acquires the surface-feature image of photovoltaic cell, and acquired image is sent to Surface characterization mould
Block (4) is analyzed, and Surface characterization module (4) will analyze resulting area information input projection pattern to be measured and generate mould
Block (5), meanwhile, random patterns generation module (6) by the original random patterns sequence inputting of generation to projection pattern generation module
(5)；It projects pattern generation module (5) and finally random is generated according to the measured zone information of input and original random patterns sequence
Pattern sequence is projected, and is transmitted to structured light projection module (2) and current graph reconstructed module (8)；
Step S2, the mobile photovoltaic cell of sample to be tested platform (1) is thrown to structured light projection module (2) projection matching region, structure light
Shadow module (2) projects the region to be measured of photovoltaic cell using each projection pattern of accidental projection pattern sequence, together
Shi Liyong current measurement module (7) measures the corresponding total output current value of sample, constitutes measurement sample vector, and be output to electric current
Figure reconstructed module (8)；
Step S3, using measurement sample vector and accidental projection pattern sequence as the input of current graph reconstructed module (8), to sight
It surveys result and carries out compressed sensing reconstruct, generate photovoltaic cell efficiency figure in region to be measured.
7. the measurement method of photovoltaic cell efficiency figure compression measuring device according to claim 6, which is characterized in that described
Step S1, specifically follows the steps below:
Step S11, the mobile photovoltaic cell of sample to be tested platform (1) is used so that surface characteristics image-forming module (3) is directed at photovoltaic cell
Monochromatic light uniform illumination photovoltaic cell region to be measured within the scope of photovoltaic cell absorbing wavelength；
Step S12, surface-feature image is generated to regional imaging to be measured with surface characteristics image-forming module (3)；
Step S13, surface-feature image binaryzation is generated binaryzation grid line image by Surface characterization module (4)；Surface
Characteristic extracting module (4) carries out edge detection to binaryzation grid line image using edge detection method, obtains gate line edge
Image；
Step S14, Surface characterization module (4) detects gate line edge image using line detection method, obtains
Multistage grid line line segment；
Step S15, Surface characterization module (4) extends obtained multistage grid line line segment, makes itself and binaryzation grid
Polar curve image boundary constitutes connected domain, using the connected domain constituted as grid line region；
Step S16, Surface characterization module (4) by binaryzation grid line image correspond to grid line region in pixel
Point be labeled as 1, corresponding to the pixel outside grid line region be labeled as 0, generate masking-out image simultaneously be input to projection pattern generate
Module (5)；
Step S17, random patterns generation module (6) acquisition area size to be measured, every row points r to be measured, each column points c to be measured,
Sample rate s is calculated sampling matrix line number M=ceil (c × r × s), and ceil is bracket function, and sample rate s is decimal, and ceil is protected
Card line number M is integer, columns N=r × c；The original random patterns sequence of M row N column is generated, pattern pixel value is using obedience two-value
The independent same distribution element filling for changing random Bernoulli Jacob's distribution generates compressed sensing projected image and puts into projection pattern generation
Module (5)；Masking-out image is subjected to equal proportion scaling, keeps its pixel number identical as the columns of compressed sensing projected image；
Step S18, projection pattern generation module (5) will correspond in masking-out image in compressed sensing projected image and mark
All pixels value in the column of pixel is set to 0, generates masking-out observed image；
Step S19, the pattern for arranging every a line pixel rearrangement of masking-out observed image at an a row b, generate it is final with
Machine projects pattern sequence, and is transmitted to structured light projection module (2) and current graph reconstructed module (8).
8. the measurement method of photovoltaic cell efficiency figure compression measuring device according to claim 7, which is characterized in that described
The value of a is identical as the value of points r to be measured of the every row in region to be measured in step S19, the points to be measured of the value of b and region each column to be measured
The value of c is identical.
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