CN106301214A - The detection method of solar energy module - Google Patents
The detection method of solar energy module Download PDFInfo
- Publication number
- CN106301214A CN106301214A CN201510362374.2A CN201510362374A CN106301214A CN 106301214 A CN106301214 A CN 106301214A CN 201510362374 A CN201510362374 A CN 201510362374A CN 106301214 A CN106301214 A CN 106301214A
- Authority
- CN
- China
- Prior art keywords
- image
- solaode
- luminosity
- solar energy
- detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
Abstract
The detection method of a kind of solar energy module, for detecting the solaode of a solar energy module, this detection method comprises: energizing step, makes solar battery electroluminescence；Capture step, captures the image of solar battery lighting；Luminosity analytical procedure, is analyzed the image captured；Selected detection object step, finds out the solaode that luminosity is relatively low；And detecting step, the solaode relatively low for luminosity detects.Due to the lowest person of luminosity, the photoelectric transformation efficiency representing this solaode is the poorest, its can the magnitude of current of output relatively low.Then, having conclusive solaode to detect just for several in this detecting step, therefore detection method is not required to detect each solaode, really can improve detection efficiency, save time and saving of labor.
Description
[technical field]
The present invention relates to a kind of detection method, particularly relate to the detection of a kind of solar energy module
Method.
[background technology]
Solaode be a kind of convert light energy into electric energy for use battery, use
On, generally between the upper and lower every two boards material between arrange several pieces two-dimensional array type arrange too
Sun energy battery, is electrically connected each other by welding between solaode, and by encapsulation material
It is coated with solaode and then is packaged into solar energy module.Afterwards, solar energy module can be entered
The detection of row correlated performance, such as by spectral response (Spectral Responsivity, SR)
Detection, understands the photoelectric conversion capacity of solaode after packaging.
But, existing detection method, is all each solar-electricity to solar energy module
Pond is detected one by one.On the other hand, owing to the size of solar energy module now increases day by day,
The quantity of the solaode namely installed on solar energy module increases the most day by day.So
One, when solar energy module is detected, aforementioned each solaode is entered one by one
The practice of row detection, detection efficiency is poor, it will the problem producing time-consuming work consuming.
[summary of the invention]
It is an object of the invention to provide the detection of the higher solar energy module of a kind of detection efficiency
Method.
The detection method of solar energy module of the present invention, several for a solar energy module
Solaode detects, and this detection method comprises:
Energizing step: described solaode is applied electric current so that described solaode is sent out
Light；
Capture step: capture and export the most corresponding several institute by an image capture unit
State the image of solaode；
Luminosity analytical procedure: by a data processing device to this image capture unit
The image exported carries out luminosity analysis, and exports the corresponding described image of several difference
Luminosity numerical value；
Selected detection object step: find out relatively low luminosity by this data processing device
Solaode corresponding to numerical value；And
Detecting step: the sun this data processing device found out by a detection device
Can detect by battery.
The detection method of solar energy module of the present invention, in this luminosity analytical procedure
In, after the image that this image capture unit is exported is analyzed by this data processing device,
Also export the number information of the corresponding described image of several difference；In this selected detection object step
In, export the relatively low number information corresponding to the image corresponding to luminosity numerical value；?
In this detecting step, the number information institute that this data processing device is exported by this detection device
Corresponding solaode detects.
The detection method of solar energy module of the present invention, in this luminosity analytical procedure
In, it is effective image by the pixel definition showing the substrate of solaode in each image
Pixel, the brightness to effective image pixel of each image is made normalized, is calculated every
The quantity of the brightness normalization numerical value effective image pixel less than 30% in one image, and defeated
Go out the quantity of the brightness normalization numerical value effective image pixel less than 30% in each image to account for
The effectively ratio of the total quantity of image pixel；In this selected detection object step, before finding out
The ratio of stating is the solaode corresponding to the image more than 0.05%.
The detection method of solar energy module of the present invention, in this luminosity analytical procedure
In, after the image that this image capture unit is exported is analyzed by this data processing device,
Also export the number information of the corresponding described image of several difference；In this selected detection object step
In, output aforementioned ratio is the number information corresponding to the image more than 0.05%；At this
In detecting step, the number information institute that this data processing device is exported by this detection device is right
The solaode answered detects.
The detection method of solar energy module of the present invention, in this luminosity analytical procedure
In, this data processing device is also average to the brightness work of effective image pixel of each image
And obtain should the luminosity numerical value of image；In selected detection object step, by institute
Some solaodes deduction aforementioned ratio is the sun corresponding to the image more than 0.05%
After energy battery, the quantity of remaining solaode is divided into 100 equal portions, and finds out aforementioned
The solaode that luminosity numerical ordering is corresponding in relatively low 10%.
The detection method of solar energy module of the present invention, in this selected detection object step
In, the image institute also exporting aforementioned luminosity numerical ordering corresponding in relatively low 10% is right
The number information answered.
The detection method of solar energy module of the present invention, in this luminosity analytical procedure
In, this data processing device the brightness of effective image pixel of each image is made average and
Obtain should the luminosity numerical value of image；In selected detection object step, will be all
The quantity of solaode be divided into 100 equal portions, and find out aforementioned luminosity numerical value row
The solaode that sequence is corresponding in relatively low 10%.
The detection method of solar energy module of the present invention, in this luminosity analytical procedure
In, it is effective image by the pixel definition showing the substrate of solaode in each image
Pixel, after the image that this image capture unit is exported is analyzed by this data processing device,
Also export the number information of the corresponding described image of several difference；In this selected detection object step
In, export corresponding to the image that aforementioned luminosity numerical ordering is corresponding in relatively low 10%
Number information；In this detecting step, this detection device is defeated to this data processing device institute
The solaode corresponding to number information gone out detects.
The detection method of solar energy module of the present invention, in detecting step, by this
The solaode that this data processing device is found out by detection device carries out spectral response inspection
Survey.
The beneficial effects of the present invention is: due to the lowest person of luminosity, represent this solar energy
The photoelectric transformation efficiency of battery is the poorest, its can the magnitude of current of output relatively low.Then, at this
In detecting step, conclusive solaode is had to detect just for several, therefore originally
Invention detection method is not required to detect each solaode, really can improve detection
Efficiency, saves time and saving of labor, the problem solving time-consuming work consuming.
[accompanying drawing explanation]
Fig. 1 is the front schematic view of a solar energy module；
Fig. 2 is a functional block diagram of a detection equipment；
Fig. 3 is a flow chart of steps of the detection method of solar energy module of the present invention.
[detailed description of the invention]
Below in conjunction with the accompanying drawings and embodiment the present invention is described in detail, it is noted that,
In the following description content, similar element is to be identically numbered to represent.
Refering to Fig. 1,2, detection method, be to cooperate with a detection equipment 8 and to one
Several solaodes 70 being arranged in series of individual solar energy module 7 detect.
Described solaode 70 is as a example by polysilicon solar cell in FIG, but
On the implementation, it is possible to select monocrystalline, amorphous or nm crystal silicon solar batteries, photochemistry class
Type solaode (such as dye sensitized dye-sensitized cell), thin film chalcogenide
Solaode (such as CIGS, CdTe battery) or other kinds of solaode,
At this, there is no particular restriction.
This detection equipment 8 comprises a power supply supply dress electrically connecting described solaode 70
Put the image capture unit 82 of the image of solaode 70 described in 81, fechtable,
One image that can be exported this image capture unit 82 is analyzed and selects should
The data processing device 83 of solaode 70 to be tested, and one to this money
Solaode 70 selected by material processing device 83 carries out the detection device 84 detected.
In the present embodiment, this power supply device 81 can use any of power supply supply
Device, and be used for providing DC current to described solaode 70.
In the present embodiment, this image capture unit 82 can be Visible-light CCD camera lens, no
Crossing on the implementation, this image capture unit 82 also can be selected for other kinds of CCD camera lens,
Such as infrared C CD camera lens or have the CCD camera lens etc. of cooling system, but not with aforementioned act
Example is limited.
In the present embodiment, this data processing device 83 electrically connects this image capture unit 82
With this detection device 84, this data processing device 83 can be computer, or other can count
Process and the device of computing according to data.
In the present embodiment, this detection device 84 is the dress for carrying out spectral response detection
Put, specifically can include a light source that light can be projected to solaode 70 to be detected
Unit 841, one electrically connects described solaode 70 to detect described solaode 70
Output electric energy magnitude of current detector unit 842, and one electrically connect this light source cell 841
Control unit 843 with this magnitude of current detector unit 842.
Operationally, this control unit 843 controls this light source cell 841 and exports specific wavelength
Light, and the wavelength that exported of correspondence calculate an incident optical energy numerical quantity (i.e. P (λ),
Unit: watt), and this magnitude of current detector unit 842 receives the output of solaode 70
Can export during electric energy a current values (I (λ), unit: Amp) give this control unit 843,
Afterwards this control unit 843 computing incident optical energy numerical quantity except current values (i.e. I (λ)/
P (λ)), it is possible to obtain the spectral response under the light of specific wavelength irradiates (i.e.
SR (λ)), spectral response can represent the photon energy of each incidence and be converted into and be delivered to outside
The ability of the electronics of circuit, also known as quantum efficiency (Quantum Efficiency, QE).In detection
On, can control this light source cell 841 sequentially output wavelength by this control unit 843 is
The light of 300nm to 700nm, just can obtain the pass between lambda1-wavelength and spectral response
System's figure.
On using, this detection device 84 can use such as TaiWan, China letters patent book number the
Detection device disclosed in I431292 patent, or other commercially available detection devices, and
This detection device 84 carries out the structure between process and the associated components of spectral response detection and closes
System or circuit relationships, all the feature of non-invention improvement, is not described in detail in this, in figure the most only
The structure of simple this detection device 84 of signal.
Refering to Fig. 1,2,3, a first embodiment of the detection method of the present invention, comprise
Following steps:
Carry out energizing step 11: by this power supply device 81 to described solar energy module 7
Apply DC current so that described solaode 70 is luminous.This practice is also known as electroluminescent
(Electroluminescence；EL).
Carry out capture step 12: capture and export several points by this image capture unit 82
The image of the most corresponding described solaode 70.
Carry out luminosity analytical procedure 13: by a data processing device 83 to this shadow
The image exported as capture device 82 carries out luminosity analysis, and export several the most right
Answer the luminosity numerical value of described image, and the numbering letter of the corresponding described image of several difference
Breath.
Wherein, described number information can be the arrangement according to the series connection of described solaode 70
Sequence number ordered by Shun Xu, such as, 001,002,003 ... etc..Or, by two-dimensional array
The solaode 70 of arrangement is numbered in the way of coordinate, such as, and 0101,0102,0103 ...
Deng, and first two yards be the arrangement sequence number of one of them axially (such as X-axis) of two-dimensional array,
Latter two yards is the arrangement sequence number of another axially (such as Y-axis) of two-dimensional array.On the implementation,
As long as it is all right, to institute that each solaode 70 can be allowed to have the numbering of correspondence to be beneficial to identification
The numbering stating solaode 70 is not limited to above citing, it is possible to use other to number
Mode.
Further illustrate, in the present embodiment, each image will show solar energy
The pixel definition of the substrate 71 of battery 70 is effective image pixel.This is because each is too
The component such as electrode 72, welding 73 can be provided with good by base on the substrate 71 of sun energy battery 70
Electric current produced by plate 71 is outwards derived, but described solaode 70 is applied in unidirectional current
During stream, the most only substrate 71 itself can be luminous, and former electrodes 72, welding 73 meeting
Hide described substrate 71, cause in the image that this image capture unit 82 is captured, substrate
71 positions that can be hidden by electrode 72, welding 73 will not be luminous, thus cannot judge described
The degree of substrate 71 luminescence.Therefore, in the present embodiment, right by each image shows
The pixel definition answering substrate 71 is effective image pixel, in display base plate in image 71
Do not included in follow-up analysis by the pixel at electrode 72, welding 73 covering.
Then, this data processing device 83 brightness to effective image pixel of each image
Make average and obtain should the luminosity numerical value of image.
Carry out selected detection object step 14: find out relatively low by this data processing device 83
The image corresponding to luminosity numerical value, and export corresponding to relatively low luminosity numerical value
The number information corresponding to image.
In the present embodiment, this data processing device 83 is by all of solaode 70
Quantity is divided into 100 equal portions, and finds out aforementioned luminosity numerical ordering in relatively low 10%
Corresponding image, and the number information corresponding to defeated aforementioned image.Owing to each is numbered
The all corresponding solaode 70 of information, it is thus possible to look for by this data processing device 83
Go out the relatively low solaode of luminosity numerical value 70.
Carry out detecting step 15: by this detection device 84 to this data processing device 83 institute
The solaode 70 found out detects, namely according to this data processing device 83 institute
The solaode 70 corresponding to number information of output detects.
After several batteries are connected, the magnitude of current size that the battery of this series connection is exported,
It is limited to the magnitude of current that the relatively low battery of current output is exported.In like manner, due to this sun
The solaode 70 of energy module 7 is in series, therefore this solar energy module 7
The magnitude of current size of output is constrained to the relatively low solaode of current output 70.
Also, each solaode 70 electroluminescent degree opto-electronic conversion respective with it effect
Rate becomes positive correlation, say, that after applying electric current is to solaode 70, solaode
The luminosity of 70 is the highest, and the photoelectric transformation efficiency representing this solaode 70 is the best,
Spectral response effect is the best；On the contrary, the lowest person of luminosity, represent this solaode
The photoelectric transformation efficiency of 70 is the poorest, its can the magnitude of current of output relatively low.
Therefore, the present embodiment first makes described solaode 70 electricity in this energizing step 11
Photoluminescence, then captures the shadow of each solaode 70 luminescence in this capture step 12
Picture, is then analyzed described image in luminosity analytical procedure 13, exists
Selected detection object step 14 finds out the relatively low solaode of luminosity numerical value 70,
Due to the lowest person of luminosity, the photoelectric transformation efficiency representing this solaode 70 is the poorest,
It can the magnitude of current of output relatively low.Then, in detecting step 15, it is only necessary to for sending out
The relatively low solaode 70 of brightness numerical value detects, and measured result can represent
Whole solar energy module 7.
It follows that the detection method of the present embodiment is not required to each solaode 70
Carry out spectral response detection one by one, have conclusive solaode 70 to carry out just for several
Detection, thus really can improve detection efficiency, the problem solving time-consuming work consuming.
Further, this case selects to find out aforementioned luminosity numerical ordering in relatively low 10%
Corresponding solaode 70.In other words, it is assumed that this solar energy module 7 has 60
Individual solaode 70, then in this detecting step 15, only need to be at most six solar energys
Battery 70 is tested.When selecting, luminosity numerical ordering is the highest in relatively low ratio, example
As more than 10%, represent that the quantity of the solaode 70 that need to test can increase, as
This can increase the detection time on the contrary.
One the second embodiment of the detection method of the present invention, with this first embodiment substantially phase
With, difference between the two is: this luminosity analytical procedure 13 is right with this selected detection
Processing procedure as step 14.
Carry out luminosity analytical procedure 13: this data processing device 83 is by each image
The pixel definition of the substrate 71 of middle display solaode 70 is effective image pixel.Then,
The brightness of effective image pixel of each image is made normalization by this data processing device 83
(Normalize) process, namely by the brightness of effective image pixel of each image,
Highest brightness value is obtained each divided by the brightness value of each effective image pixel effective
The brightness normalization numerical value of image pixel.
Then, to calculate brightness normalization numerical value in each image little for this data processing device 83
In the quantity of effective image pixel of 30%, and export brightness normalization number in each image
The quantity of the value effective image pixel less than 30% occupies the ratio of the total quantity of effect image pixel
Example, and export the number information of the corresponding described image of several difference.
Carry out selected detection object step 14: before this data processing device 83 specifically exports
The ratio of stating is the number information corresponding to the image more than 0.05%.Owing to each is numbered
The all corresponding solaode 70 of information, it is thus possible to look for by this data processing device 83
Go out the relatively low solaode of luminosity numerical value 70.
The present embodiment uses another kind to find out the relatively low solaode of luminosity numerical value 70
Mode, the luminosity analytical procedure 13 of the present embodiment and selected detection object step 14,
This method can find out the solaode 70 of clear and definite defect and this solaode 70
Rejected region.
Further illustrating, the present embodiment is to calculate brightness normalization number in each image
The quantity of the value effective image pixel less than 30%, selected brightness normalization numerical value is less than 30%
Reason be, the signal to noise ratio of its intensity of image that electroluminescent is captured is about 5%,
And the intensity of reflected light that welding is caused is about about 30%, therefore less than 30% may insure that
This region is the problematic place of substrate 71 of solaode 70.
Additionally, it is corresponding to the image more than 0.05% that this case selects to find out aforementioned ratio
Solaode 70, selected aforementioned ratio is that the reason more than 0.05% is, with the sun
As a example by the substrate 71 of energy battery 70 is 6 single crystal battery, its sheet area is 240cm2Left and right,
And electrode 72 width is about 0.1～0.2mm on substrate 71, and length at least 1cm with
Upper (about the 0.05% of the gross area), and if only a grid line lost efficacy, power can't be affected,
Therefore select effective area 0.05% as benchmark.
One the 3rd embodiment of the detection method of the present invention, with this first embodiment substantially phase
With, difference between the two is: this luminosity analytical procedure 13 is right with this selected detection
Processing procedure as step 14.
Carry out luminosity analytical procedure 13: this data processing device 83 is by each image
The pixel definition of the substrate 71 of middle display solaode 70 is effective image pixel.Then,
The brightness of effective image pixel of each image is made normalization by this data processing device 83
(Normalize) process, namely by the brightness of effective image pixel of each image,
Maximum brightness is obtained the brightness normalizing of each effective image pixel divided by each brightness
Change numerical value.
Then, brightness normalization numerical value in this each image of data processing device 83 is calculated little
In the quantity of effective image pixel of 30%, and export brightness normalization number in each image
The quantity of the value effective image pixel less than 30% occupies the ratio of the total quantity of effect image pixel
Example, and export the number information of the corresponding described image of several difference.
Meanwhile, this data processing device 83 also bright to effective image pixel of each image
Degree is made average and is obtained should the luminosity numerical value of image.
Carry out selected detection object step 14: before this data processing device 83 specifically exports
The ratio of stating is the number information corresponding to the image more than 0.05%.Meanwhile, at this data
All of solaode 70 is deducted aforementioned ratio and is more than 0.05% by reason device 83
After solaode 70 corresponding to image, the quantity of remaining solaode 70 is divided equally
Become 100 equal portions, and it is corresponding in relatively low 10% to find out aforementioned luminosity numerical ordering
Number information corresponding to image.
In other words, the 3rd embodiment is to combine this first embodiment and this second embodiment
The practice, be based on this first embodiment on, the advantage also obtaining this second embodiment,
That is exactly solaode 70 and this solaode 70 that can find out clear and definite defect
Rejected region, thereby can effectively find out the solaode 70 that can ensure that open defect,
The most also find out zero defect it is likely that be the part of the solaode 70 limiting the magnitude of current,
Facilitate the carrying out of detecting step 15 (the namely analysis of assembly spectral response).
In sum, the present invention first makes described solaode 70 in this energizing step 11
Electroluminescent, then captures the luminescence of each solaode 70 in this capture step 12
Image, is then analyzed described image, in luminosity analytical procedure 13 the most again
The relatively low solaode of luminosity numerical value 70 is found out in selected detection object step 14,
Due to the lowest person of luminosity, the photoelectric transformation efficiency representing this solaode 70 is the poorest,
It can the magnitude of current of output relatively low.Then, in detecting step 15, it is only necessary to for sending out
The relatively low solaode 70 of brightness numerical value detects, and measured result can represent
Whole solar energy module 7.
Thereby, detection method is not required to carry out each solaode 70 one by one light
Spectrum response detection, has conclusive solaode 70 to detect just for several, thus
Really detection efficiency, the problem solving time-consuming work consuming can be improved.
The luminosity of solaode 70 is analyzed as this luminosity analytical procedure 13
Concrete mode, and this selected detection object step 14 selects the solar energy that luminosity is relatively low
The mode of battery 70, is not limited to the citing of the present embodiment, it is possible to for other practices.
Further, since the detection device 84 of the present embodiment is selected and can be carried out spectral response detection
Device, but on the implementation, this detection device 84 also can be selected for can be to this solaode
70 devices making the detection of other performances, now, in this detecting step 15, just according to institute
The solar-electricity that the detection function of this detection device 84 that uses is relatively low to luminosity numerical value
Pond 70 carries out the performance detection being correlated with.
Last it should be noted that due to the lowest person of luminosity, represent this solaode
The photoelectric transformation efficiency of 70 is the poorest, its can the magnitude of current of output relatively low.Therefore, the present invention
Spirit be have conclusive solaode 70 to detect, therefore just for several
Detection method is not required to detect each solaode 70, thus improves inspection
Survey efficiency, save time and saving of labor.
Under such spirit, no matter the relatively low solar-electricity corresponding to luminosity numerical value
The quantity in pond 70 is how many, no matter how the most relatively low luminosity numerical value should define, only
The solaode 70 of part is found out in the solaode 70 of this solar energy module 7
(solaode 70 that luminosity is relatively low) detects, rather than to this solar energy
Whole solaodes 70 of module 7 detect, and just can reach and save time and the effect of saving of labor.
In this first embodiment, specifically the quantity of all of solaode 70 is divided equally
Become 100 equal portions, aforementioned luminosity numerical ordering solaode in relatively low 10%
70, it is simply that the so-called relatively low solaode 70 corresponding to luminosity numerical value.
In this second embodiment, specifically bright to effective image pixel of each image
Degree is made normalized and is obtained the brightness normalization numerical value of each effective image pixel.Often
In one image, the quantity of the brightness normalization numerical value effective image pixel less than 30% is occupied
The ratio of the total quantity of effect image pixel, aforementioned ratio solaode more than 0.05%
70, it is simply that the so-called relatively low solaode 70 corresponding to luminosity numerical value.At this
In 3rd embodiment, except as defined in this second embodiment ratio more than 0.05%
Solaode 70 outside, add all of solaode 70 and deduct aforementioned ratio
After solaode 70 corresponding to the image more than 0.05%, remaining solar-electricity
The quantity in pond 70 is divided into 100 equal portions, and aforementioned luminosity numerical ordering is relatively low 10%
Interior solaode 70.The solaode 70 that both modes are defined, it is simply that institute
The relatively low solaode 70 corresponding to luminosity numerical value of meaning.
Certainly, the side of the relatively low solaode 70 corresponding to luminosity numerical value is defined
Formula can be also other means, is not limited in present invention mode disclosed above.
Claims (9)
1. a detection method for solar energy module, for a solar energy module several too
Sun can detect by battery, it is characterised in that: this detection method comprises:
Energizing step: described solaode is applied electric current so that described solaode is sent out
Light；
Capture step: capture and export the most corresponding several institute by an image capture unit
State the image of solaode；
Luminosity analytical procedure: by a data processing device to this image capture unit
The image exported carries out luminosity analysis, and exports the corresponding described shadow of several difference
The luminosity numerical value of picture；
Selected detection object step: find out relatively low luminosity by this data processing device
Solaode corresponding to numerical value；And
Detecting step: the sun this data processing device found out by a detection device
Can detect by battery.
2. the detection method of solar energy module as claimed in claim 1, it is characterised in that: at this
In luminosity analytical procedure, this data processing device is defeated to this image capture unit institute
After the image gone out is analyzed, also export the numbering letter of the corresponding described image of several difference
Breath；In this selected detection object step, export relatively low luminosity numerical value institute right
The number information corresponding to image answered；In this detecting step, this detection device pair
The solaode corresponding to number information that this data processing device is exported is examined
Survey.
3. the detection method of solar energy module as claimed in claim 1, it is characterised in that: at this
In luminosity analytical procedure, each image will show the substrate of solaode
Pixel definition be effective image pixel, to effective image pixel of each image
Normalized is made in brightness, calculates brightness normalization numerical value in each image and is less than 30%
The quantity of effective image pixel, and export brightness normalization numerical value in each image
The quantity of the effective image pixel less than 30% occupies the ratio of the total quantity of effect image pixel
Example；In this selected detection object step, finding out aforementioned ratio is more than 0.05%
Solaode corresponding to image.
4. the detection method of solar energy module as claimed in claim 3, it is characterised in that: at this
In luminosity analytical procedure, this data processing device is defeated to this image capture unit institute
After the image gone out is analyzed, also export the numbering letter of the corresponding described image of several difference
Breath；In this selected detection object step, output aforementioned ratio is more than 0.05%
Number information corresponding to image；In this detecting step, this detection device is to this money
The solaode corresponding to number information that material processing device is exported detects.
5. the detection method of solar energy module as claimed in claim 4, it is characterised in that: at this
In luminosity analytical procedure, this data processing device also effective to each image
The brightness of image pixel is made average and is obtained should the luminosity numerical value of image；?
In selected detection object step, by all of solaode deduction aforementioned ratio be
After solaode corresponding to the image of more than 0.05%, remaining solaode
Quantity is divided into 100 equal portions, and finds out aforementioned luminosity numerical ordering relatively low 10%
Solaode corresponding in.
6. the detection method of solar energy module as claimed in claim 5, it is characterised in that: at this
In selected detection object step, also export aforementioned luminosity numerical ordering relatively low 10%
The number information corresponding to image corresponding in.
7. the detection method of solar energy module as claimed in claim 1, it is characterised in that: at this
In luminosity analytical procedure, this data processing device effective shadow to each image
Make average as the brightness of pixel and obtain should the luminosity numerical value of image；In choosing
Regular inspection is surveyed in object step, and the quantity of all of solaode is divided into 100 etc.
Part, and find out the solar energy that aforementioned luminosity numerical ordering is corresponding in relatively low 10%
Battery.
8. the detection method of solar energy module as claimed in claim 7, it is characterised in that: at this
In luminosity analytical procedure, each image will show the substrate of solaode
Pixel definition be effective image pixel, this image capture is filled by this data processing device
Put after exported image is analyzed, also export the corresponding described image of several difference
Number information；In this selected detection object step, export aforementioned luminosity numerical value
The number information corresponding to image that sequence is corresponding in relatively low 10%；Walk in this detection
In Zhou, corresponding to the number information that this data processing device is exported by this detection device
Solaode detect.
9. the detection method of the solar energy module as described in any claim in claim 1 to 8
, it is characterised in that: in detecting step, by this detection device, this data is processed
The solaode that device is found out carries out spectral response detection.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510362374.2A CN106301214A (en) | 2015-06-26 | 2015-06-26 | The detection method of solar energy module |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510362374.2A CN106301214A (en) | 2015-06-26 | 2015-06-26 | The detection method of solar energy module |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106301214A true CN106301214A (en) | 2017-01-04 |
Family
ID=57651010
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510362374.2A Pending CN106301214A (en) | 2015-06-26 | 2015-06-26 | The detection method of solar energy module |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106301214A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018201313A1 (en) * | 2017-05-03 | 2018-11-08 | 优信电子（香港）有限公司 | Simplified system for use with solar energy module performance monitoring device |
| CN109120229A (en) * | 2017-06-26 | 2019-01-01 | 奥特斯维能源（太仓）有限公司 | A kind of modification method and device of solar battery efficiency test |
-
2015
- 2015-06-26 CN CN201510362374.2A patent/CN106301214A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018201313A1 (en) * | 2017-05-03 | 2018-11-08 | 优信电子（香港）有限公司 | Simplified system for use with solar energy module performance monitoring device |
| CN109120229A (en) * | 2017-06-26 | 2019-01-01 | 奥特斯维能源（太仓）有限公司 | A kind of modification method and device of solar battery efficiency test |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Bhoopathy et al. | Outdoor photoluminescence imaging of photovoltaic modules with sunlight excitation | |
| US9680412B2 (en) | Method and apparatus for testing photovoltaic modules | |
| US7601941B2 (en) | Method and apparatus for evaluating solar cell and use thereof | |
| Høiaas et al. | Inspection and condition monitoring of large-scale photovoltaic power plants: A review of imaging technologies | |
| US10554172B2 (en) | Illuminated outdoor luminescence imaging of photovoltaic modules | |
| CN207743935U (en) | Equipment for checking photovoltaic module | |
| CN102183523A (en) | Photon imaging system for detecting defects in photovoltaic devices, and method thereof | |
| Besold et al. | Quantitative imaging of shunts in organic photovoltaic modules using lock-in thermography | |
| TW201946374A (en) | Inspection system for concentrating photovoltaic apparatus and inspection method for light receiving part | |
| CN108092624B (en) | Detection device and detection method for open-circuit voltage distribution of solar cell | |
| CN106301214A (en) | The detection method of solar energy module | |
| Vuković et al. | Outdoor photoluminescence and electroluminescence imaging of photovoltaic silicon modules in a string | |
| CN101915546B (en) | Solar chip anti-reflection coating detection method and detection device thereof | |
| JP7149534B2 (en) | Solar panel inspection device and inspection method | |
| JP2019050718A (en) | Method for quantitative analysis of facility comprising electroluminescent module | |
| WO2023272479A1 (en) | Power station operation and maintenance system, power station operation and maintenance method, and photovoltaic power station | |
| Bhoopathy et al. | Inspecting series resistance effects and bypass diode failure using contactless outdoor photoluminescence imaging | |
| CN103558558A (en) | Silicon solar cell conversion efficiency detection device and detection method | |
| Doll et al. | Contactless outdoor photoluminescence of silicon photovoltaic modules with large area excitation source | |
| CN201740515U (en) | Detecting device of antireflection layer of solar chip | |
| Doll et al. | Towards true contactless outdoor luminescence of silicon photovoltaic modules with inhomogeneous small area excitation source | |
| Soufiani et al. | Contactless series resistance imaging of perovskite solar cells via inhomogeneous illumination | |
| EP3394979B1 (en) | Method and device for the determination of a measure of band gaps at optoelectronic components | |
| TWI808009B (en) | Intelligent detection system | |
| CN102927918A (en) | Detection method and device of anti-reflection layer of solar chip |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170104 |