CN103022219A - Photovoltaic assembly quality automatic detection method - Google Patents
Photovoltaic assembly quality automatic detection method Download PDFInfo
- Publication number
- CN103022219A CN103022219A CN2011102800525A CN201110280052A CN103022219A CN 103022219 A CN103022219 A CN 103022219A CN 2011102800525 A CN2011102800525 A CN 2011102800525A CN 201110280052 A CN201110280052 A CN 201110280052A CN 103022219 A CN103022219 A CN 103022219A
- Authority
- CN
- China
- Prior art keywords
- equipment
- photovoltaic module
- testing
- quality automatic
- picture
- 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
Images
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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
Landscapes
- Photovoltaic Devices (AREA)
Abstract
The invention provides a photovoltaic assembly quality automatic detection method. The method comprises the following steps of: (A) carrying out assembly connection and electromotion; (B) filming picture through equipment; (C) carrying out picture analysis and comparison; (D) offering a judgment result through software; (E) preserving data and bar codes; and (F) finishing and entering the next circulation. The photovoltaic assembly quality automatic detection method provided by the invention effectively solves the problem of supposed judgment diversity due to standard diversification, and the detection method is safe, rapid and high efficient, the automaticity is high, and the economic benefit is improved and the like.
Description
Technical field
The present invention relates to hidden automatic detection judgement, a kind of photovoltaic module quality of the special design automatic testing method of splitting of cell piece in the solar energy Crystalline Silicon PV Module manufacturing flow process.
Background technology
Along with the develop rapidly of global new forms of energy industry, manufacturing and the use of solar energy Crystalline Silicon PV Module receive much concern, and the commitment to quality of its 25 years or 30 years and the reliability of product itself more become the focus that industry and market are paid close attention to.The unification of standard and the science of detection method are common problems that faces in the industry.
At present, in the photovoltaic module quality testing, it is to the hidden effective means of splitting monitoring of cell piece that EL (electroluminescence) detects, its operation principle is to utilize electroluminescent theoretical foundation, under the condition of assembly energising, adopt the outward appearance picture of infrared camera capture component product, therefrom can comparatively clearly see the mass defects such as the fine fisssure texture of cell piece inherence and blackspot.The phenomenons such as but because cell piece comes from different silicon chip suppliers and different quality rank, picture varies, and owing to the difference of list/polycrystalline cell piece lattice, causes the testing staff that there is bad quantification in the judgement of final assembly quality simultaneously, and the result is uncertain.
Summary of the invention
In order to overcome the defective of prior art, the present invention proposes and split the method that automatically detects and judge to cell piece in the photovoltaic module is hidden, thereby efficiently solve the standard variation, artificially judge the situation of otherness.
To achieve these goals, the invention provides following technical scheme:
A kind of photovoltaic module quality automatic testing method, described method step is:
A) assembly connect, energising: automatic production line is transported to testing component in the EL checkout equipment, and is connected with the EL checkout equipment and switches on;
B) equipment pictures taken: in the galvanization, infrared camera work is taken, the picture under the capture component energising;
C) picture analyzing, comparison;
D) software provides result of determination;
E) data, bar code are preserved: subassembly product bar code automatic input, and be saved to equipment with result of determination;
F) finish and enter next circulation: powered-down, assembly and equipment connection disconnect, and automatic production line will be surveyed component transfer to next station; EL detects the circulation that enters next built-in testing.
As the preferred technical solution of the present invention, among the described step C, designated software is utilized the image recognition analysis theories in the EL checkout equipment, makes up in advance photovoltaic module credit rating model, information in the picture is collected, calculated, and compare with the normal pictures information that sets in advance.
As the preferred technical solution of the present invention, among the described step D, finish comparison after, checkout equipment provides result of determination after the module testing automatically.
Compared with prior art, the present invention has following distinguishing feature:
1, utilize the image recognition analysis theories, to the product information that the EL checkout equipment has photographed collect, identify, analysis, computing.And carry out comparing with the standard that sets in advance, finally provide the product quality rank;
2, the user can preset standard according to industry or customer requirement, convenient, flexible, science, reasonable;
3, standard uniqueness is avoided the situations such as the artificial artificial uncertain factor of judging and erroneous judgement, and real result is credible, the tool convincingness;
4, detection speed is fast, device software to the quality judging of single products less than 10 seconds, and artificial judge need about 30 seconds, can significantly improve the production line production capacity, directly improve Business Economic Benefit;
5, the result of determination autostore can link with functions such as automatic bar code scannings in computer, and whether qualified clear and definite product quality state is, helps quality management;
6, can realize and the linking and networking of finished product materials warehousing management, reduce logistics cost, make management science efficient, avoid simultaneously the mistakes and omissions phenomenon of artificial judgement, artificial data typing;
7, avoid when detecting at present the links such as manual operation assembly energising, minimizing people's electrical safety hidden danger;
Testing staff's technical ability is required under 8, change is artificially judged at present is high, the situation that training cost is large;
9, realize the output bas line running, improve automaticity, realize science advanced management pattern.
Description of drawings
Fig. 1 flow chart of the present invention
Embodiment
Below in conjunction with accompanying drawing preferred embodiment of the present invention is described in detail, thereby so that advantages and features of the invention can be easier to be it will be appreciated by those skilled in the art that protection scope of the present invention is made more explicit defining.
A kind of photovoltaic module quality automatic testing method as shown in Figure 1, described method step is:
A) assembly connect, energising: automatic production line is transported to testing component in the EL checkout equipment, and is connected with the EL checkout equipment and switches on;
B) equipment pictures taken: in the galvanization, infrared camera work is taken, the picture under the capture component energising;
C) picture analyzing, comparison, designated software is utilized the image recognition analysis theories in the EL checkout equipment, makes up in advance photovoltaic module credit rating model, information in the picture is collected, is calculated, and compare with the normal pictures information that sets in advance;
D) software provides result of determination: after finishing comparison, checkout equipment provides result of determination after the module testing automatically;
E) data, bar code are preserved: subassembly product bar code automatic input, and be saved to equipment with result of determination;
F) finish and enter next circulation: powered-down, assembly and equipment connection disconnect, and automatic production line will be surveyed component transfer to next station; EL detects the circulation that enters next built-in testing.
The instrument that need to use has: EL automatic tester, and band image analysis software one cover; Automatic bar code scanning system, data management and automatic software one cover of preserving; Assembly automatic assembly line one cover.
The above; it only is the specific embodiment of the present invention; but protection scope of the present invention is not limited to this; any those of ordinary skill in the art are in the disclosed technical scope of the present invention; variation or the replacement that can expect without creative work all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range that claims were limited.
Claims (3)
1. a photovoltaic module quality automatic testing method is characterized in that, described method step is:
A) assembly connect, energising: automatic production line is transported to testing component in the EL checkout equipment, and is connected with the EL checkout equipment and switches on;
B) equipment pictures taken: in the galvanization, infrared camera work is taken, the picture under the capture component energising;
C) picture analyzing, comparison;
D) software provides result of determination;
E) data, bar code are preserved: subassembly product bar code automatic input, and be saved to equipment with result of determination;
F) finish and enter next circulation: powered-down, assembly and equipment connection disconnect, and automatic production line will be surveyed component transfer to next station; EL detects the circulation that enters next built-in testing.
2. a kind of photovoltaic module quality automatic testing method according to claim 1, it is characterized in that, among the described step C, designated software is utilized the image recognition analysis theories in the EL checkout equipment, make up in advance photovoltaic module credit rating model, information in the picture is collected, calculated, and compare with the normal pictures information that sets in advance.
3. a kind of photovoltaic module quality automatic testing method according to claim 1 is characterized in that, among the described step D, finish comparison after, checkout equipment provides result of determination after the module testing automatically.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011102800525A CN103022219A (en) | 2011-09-20 | 2011-09-20 | Photovoltaic assembly quality automatic detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011102800525A CN103022219A (en) | 2011-09-20 | 2011-09-20 | Photovoltaic assembly quality automatic detection method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103022219A true CN103022219A (en) | 2013-04-03 |
Family
ID=47970577
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011102800525A Pending CN103022219A (en) | 2011-09-20 | 2011-09-20 | Photovoltaic assembly quality automatic detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103022219A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103344900A (en) * | 2013-07-03 | 2013-10-09 | 英利能源（中国）有限公司 | Method and device for testing electrical performance of photovoltaic cell panels, and processing, placing and separating data |
| CN105552168A (en) * | 2015-12-28 | 2016-05-04 | 东莞南玻光伏科技有限公司 | Prediction method for packaging effect of packaging material of solar photovoltaic module |
| CN106004137A (en) * | 2016-05-31 | 2016-10-12 | 宁夏银星能源光伏发电设备制造有限公司 | Method of Controlling Screen Printing Quality and Production Process Based on EL Detection |
| CN107607548A (en) * | 2017-09-29 | 2018-01-19 | 青海黄河上游水电开发有限责任公司光伏产业技术分公司 | The hidden method for splitting defect of photovoltaic module is detected by 3-D view |
| CN107764832A (en) * | 2017-09-29 | 2018-03-06 | 青海黄河上游水电开发有限责任公司光伏产业技术分公司 | The hidden of photovoltaic module splits defect inspection method |
| CN109655472A (en) * | 2018-11-23 | 2019-04-19 | 惠州锂威新能源科技有限公司 | A method of battery core is detected based on X-Ray |
| CN109960229A (en) * | 2017-12-26 | 2019-07-02 | 中电电气(上海)太阳能科技有限公司 | A kind of photovoltaic module manufacturing monitoring system and method |
| CN111554589A (en) * | 2020-06-15 | 2020-08-18 | 西安黄河光伏科技股份有限公司 | Detection device and method for crystalline silicon solar cell |
| CN113567446A (en) * | 2021-07-06 | 2021-10-29 | 北京东方国信科技股份有限公司 | Method and system for grading component defect detection quality |
-
2011
- 2011-09-20 CN CN2011102800525A patent/CN103022219A/en active Pending
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103344900A (en) * | 2013-07-03 | 2013-10-09 | 英利能源（中国）有限公司 | Method and device for testing electrical performance of photovoltaic cell panels, and processing, placing and separating data |
| CN103344900B (en) * | 2013-07-03 | 2016-09-07 | 英利能源（中国）有限公司 | Photovoltaic battery panel electric performance test, data process and place method for separating and equipment |
| CN105552168A (en) * | 2015-12-28 | 2016-05-04 | 东莞南玻光伏科技有限公司 | Prediction method for packaging effect of packaging material of solar photovoltaic module |
| CN106004137A (en) * | 2016-05-31 | 2016-10-12 | 宁夏银星能源光伏发电设备制造有限公司 | Method of Controlling Screen Printing Quality and Production Process Based on EL Detection |
| CN106004137B (en) * | 2016-05-31 | 2018-05-15 | 宁夏银星能源光伏发电设备制造有限公司 | The method that control silk-screen printing quality and production process are detected based on EL |
| CN107607548A (en) * | 2017-09-29 | 2018-01-19 | 青海黄河上游水电开发有限责任公司光伏产业技术分公司 | The hidden method for splitting defect of photovoltaic module is detected by 3-D view |
| CN107764832A (en) * | 2017-09-29 | 2018-03-06 | 青海黄河上游水电开发有限责任公司光伏产业技术分公司 | The hidden of photovoltaic module splits defect inspection method |
| CN109960229A (en) * | 2017-12-26 | 2019-07-02 | 中电电气(上海)太阳能科技有限公司 | A kind of photovoltaic module manufacturing monitoring system and method |
| CN109655472A (en) * | 2018-11-23 | 2019-04-19 | 惠州锂威新能源科技有限公司 | A method of battery core is detected based on X-Ray |
| CN111554589A (en) * | 2020-06-15 | 2020-08-18 | 西安黄河光伏科技股份有限公司 | Detection device and method for crystalline silicon solar cell |
| CN113567446A (en) * | 2021-07-06 | 2021-10-29 | 北京东方国信科技股份有限公司 | Method and system for grading component defect detection quality |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103022219A (en) | Photovoltaic assembly quality automatic detection method | |
| Pratt et al. | Defect detection and quantification in electroluminescence images of solar PV modules using U-net semantic segmentation | |
| Sridharan et al. | Convolutional neural network based automatic detection of visible faults in a photovoltaic module | |
| Wang et al. | Fault diagnosis method of photovoltaic array based on support vector machine | |
| Sun et al. | A novel detection method for hot spots of photovoltaic (PV) panels using improved anchors and prediction heads of YOLOv5 network | |
| CN105263000A (en) | Large-scale photovoltaic power station inspection device based on double cameras carried on unmanned aerial vehicle | |
| CN113283344A (en) | Mining conveying belt deviation detection method based on semantic segmentation network | |
| CN116523820A (en) | Solar cell defect detection method based on attentional convolutional neural network | |
| Korovin et al. | Anomaly detection in electroluminescence images of heterojunction solar cells | |
| CN116309303B (en) | Electrical equipment defect detection method and device based on infrared image and related equipment | |
| Padmavathi et al. | Fault detection and identification of solar panels using Bluetooth | |
| CN107907753A (en) | The detection device and method of a kind of protective relaying device | |
| Özer et al. | An approach based on deep learning methods to detect the condition of solar panels in solar power plants | |
| Yao et al. | Halcon-based solar panel crack detection | |
| Zhang et al. | Residual learning-based robotic image analysis model for low-voltage distributed photovoltaic fault identification and positioning | |
| Wang et al. | PVF-10: A high-resolution unmanned aerial vehicle thermal infrared image dataset for fine-grained photovoltaic fault classification | |
| CN113496210B (en) | Photovoltaic string tracking and fault tracking method based on attention mechanism | |
| CN102236404A (en) | Energy-saving method of electronic device | |
| Gao et al. | A Single-Stage Photovoltaic Module Defect Detection Method Based on Optimized YOLOv8 | |
| CN206083178U (en) | Carry out categorised automatic system of silicon chip according to resistance | |
| CN102200515A (en) | Micro-crack detector for solar cell modules | |
| CN203417868U (en) | Automatic meter panel detecting device | |
| Xu et al. | An improved YOLOX autonomous UAV-based system for monitoring photovoltaic panel failures | |
| Karthikeyan et al. | Edge AI–Based Aerial Monitoring | |
| Sheng et al. | A YOLOX-Based Detection Method of Triple-Cascade Feature Level Fusion for Power System External Defects |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130403 |