CN103278512A - Device and method for online detection on structural damage of solar panel by utilizing microwaves - Google Patents
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Abstract
一种利用微波在线检测太阳能板结构损伤的装置及方法,该装置的有源微波谐振腔包括依次连接的矢量网络分析仪、频率扫描源、第一隔离器、第一调配器和谐振腔体;微波信号处理系统包括置于谐振腔体内的耦合探针,和耦合探针依次连接的衰减器、第二调配器、第二隔离器及信号微处理器电路;其方法为:通过谐振腔体发射微波信号进入被测太阳能电池板的表面,一部分被吸收反射,一部分穿透电池板到金属背景并产生全发射,通过耦合探针拾取回波信号,该回波信号经信号微处理器电路得到即时谐振腔频率偏移量Δf,能够得知被测太阳能电池板的结构损伤程度;本发明能够实现对太阳能电池板损伤情况的实时在线的监测,满足对生产线上的电池板无损检测的要求。
A device and method for using microwaves to detect solar panel structural damage on-line. The active microwave resonant cavity of the device includes a vector network analyzer, a frequency scanning source, a first isolator, a first adjuster and a resonant cavity connected in sequence; The microwave signal processing system includes a coupling probe placed in the resonant cavity, an attenuator, a second adjuster, a second isolator and a signal microprocessor circuit that are sequentially connected to the coupling probe; the method is: through the resonant cavity The microwave signal enters the surface of the solar panel under test, part of it is absorbed and reflected, and part of it penetrates the panel to the metal background and produces full emission. The echo signal is picked up by the coupling probe, and the echo signal is obtained by the signal microprocessor circuit in real time. The frequency offset Δf of the resonant cavity can know the structural damage degree of the tested solar battery panel; the invention can realize real-time online monitoring of the solar battery panel damage and meet the requirements for non-destructive testing of solar battery panels on the production line.
Description
技术领域technical field
本发明涉及太阳能板结构损伤检测技术领域,具体涉及一种利用微波在线检测太阳能板结构损伤的装置及方法。The invention relates to the technical field of solar panel structure damage detection, in particular to a device and method for online detection of solar panel structure damage by using microwaves.
背景技术Background technique
2008年我国太阳能电池板产量为2895MW,2009年达到4382MW,占全球产量的40%,我国已经成为名符其实的世界第一大太阳能电池板生产国。2010年,国内光伏电池的产量达到7GW,其中90%以上为出口。中国可再生能源学会预计的太阳能板材料的市场发展趋势,2013年全球的需求将是2008年的三倍。中国约有443家在产的太阳能电池板和组件生产厂商,已形成从硅的制备到太阳能组件生产的全产业链生产企业,其产能跃居世界前列。目前绿色能源需求量正急速增长,中国的太阳能电池板产量以迅猛之势持续扩大,必将引发企业对电池板结构损伤检测设备的需求。In 2008, my country's solar panel production was 2895MW, and in 2009 it reached 4382MW, accounting for 40% of global production. my country has become the world's largest producer of solar panels. In 2010, the domestic output of photovoltaic cells reached 7GW, of which more than 90% were exported. According to the market development trend of solar panel materials predicted by China Renewable Energy Society, the global demand in 2013 will be three times that of 2008. There are about 443 solar panel and module manufacturers in China, which have formed a whole industrial chain production enterprise from silicon preparation to solar module production, and their production capacity has leapt to the forefront of the world. At present, the demand for green energy is growing rapidly, and the output of solar panels in China continues to expand rapidly, which will definitely trigger the demand for damage detection equipment for battery panel structures.
太阳能电池板结构损伤检测是太阳能电池板或组件生成过程中的关键流程,由于硅材料太阳能电池板通常由多晶或单晶体棒材切片而成,在生产过程中的每一环节都有可能出现破损,产生隐裂、碎片、崩边、虚焊、段栅等缺陷。如果切片厚度减小,可以减少硅材料的使用量,降低成本,减少能耗。但随之而来的是破损率的增加,以及对生产各环节的控制要求更加严格,否则适得其反。大多厂家硅片厚度在200微米左右,英利集团已做到了厚度在180微米左右。电池的制备工艺一般顺序是硅膜成形表面准备、扩散制结、除去背结、制作上下电极、腐蚀周边、蒸镀减反射膜,最后制成硅太阳电池。其中电极的作用是用来输出电能,减反膜是为了提高输出的功率。由于制作的工艺流程环节多,对制备条件要求严格,所以电池的质量缺陷很难避免。表现为:1)成形的薄膜可能存在划痕、裂纹;2)硅膜与减反膜的粘附面有间隙;3)蒸镀的减反膜中可能有气孔存在。这些缺陷大都肉眼不可见,所以需要一种灵敏精确的、能检测初期缺陷的设备。太阳能电池板的缺陷极大的影响了电池的使用寿命和效率,提高电池板的质量就变得相当重要。如果能在各生产环节完成后发现破损,便可以及时调整生产设备的运行状态,从而提高产品的合格率及产品等级,这样就需要大量的在线结构损伤检测设备。Structural damage detection of solar panels is a key process in the production process of solar panels or components. Since silicon solar panels are usually sliced from polycrystalline or single crystal rods, damage may occur in every link of the production process , resulting in defects such as hidden cracks, fragments, chipping, virtual welding, and section grids. If the slice thickness is reduced, the amount of silicon material used can be reduced, the cost can be reduced, and energy consumption can be reduced. But what follows is an increase in the breakage rate and stricter control requirements for all aspects of production, otherwise it will be counterproductive. The silicon wafer thickness of most manufacturers is about 200 microns, and Yingli Group has achieved a thickness of about 180 microns. The general sequence of the battery preparation process is silicon film forming surface preparation, diffusion junction formation, back junction removal, upper and lower electrodes fabrication, peripheral corrosion, evaporation anti-reflection film, and finally silicon solar cells. Among them, the role of the electrode is to output electric energy, and the anti-reflection film is to increase the output power. Due to the many steps in the production process and the strict requirements on the preparation conditions, the quality defects of the battery are difficult to avoid. The performance is as follows: 1) There may be scratches and cracks in the formed film; 2) There is a gap between the adhesive surface of the silicon film and the anti-reflection film; 3) There may be air holes in the evaporated anti-reflection film. Most of these defects are invisible to the naked eye, so a sensitive and accurate device that can detect incipient defects is needed. The defects of the solar panel greatly affect the service life and efficiency of the battery, and it becomes very important to improve the quality of the solar panel. If the damage can be found after the completion of each production link, the operation status of the production equipment can be adjusted in time, thereby improving the pass rate and product grade of the product, which requires a large number of online structural damage detection equipment.
目前,从检测原理上有红外扫描检测和电致发光检测两种。红外扫描检测方法采用一定波长的激光光源,对太阳能电池板进行逐点扫描,对应的光敏元件检测出缺陷情况。这种方法对大尺寸太阳能电池板检测时间长,成像粗糙,且扫描机构复杂。电致发光检测方法,就是利用太阳能电池板PN结正向通电时,电子与空穴复合,以发射光子的形式释放能量。同时由于存在结电阻,也会产生热量,发出红外辐射。有缺陷的部分无电子迁移,便会使电池板出现明显的暗斑,采用摄像的方法获得太阳能电池板损伤的图像。这种方法不需要扫描机构,设备结构较简单,但是也存在成本高、色彩显示有限、受环境光影响、过程复杂的缺点。而且目前国内厂商生产的太阳能电池板缺陷检测设备多为离线式,用于抽检,不能在线检测,难以满足光伏企业日益严苛的要求。太阳能电池板损伤的在线检测已成为目前研究的重点。At present, there are two types of detection principles: infrared scanning detection and electroluminescence detection. The infrared scanning detection method uses a laser light source with a certain wavelength to scan the solar panel point by point, and the corresponding photosensitive element detects the defect. This method takes a long time to detect large-scale solar panels, the imaging is rough, and the scanning mechanism is complicated. The electroluminescence detection method is to use the forward current of the PN junction of the solar cell panel to recombine electrons and holes to release energy in the form of emitted photons. At the same time, due to the existence of junction resistance, heat is also generated and infrared radiation is emitted. If there is no electron migration in the defective part, there will be obvious dark spots on the solar panel, and the camera method is used to obtain the image of the damage of the solar panel. This method does not require a scanning mechanism, and the device structure is relatively simple, but it also has the disadvantages of high cost, limited color display, influence by ambient light, and complicated process. Moreover, most of the solar panel defect detection equipment produced by domestic manufacturers is offline and used for random inspection, and cannot be detected online, which makes it difficult to meet the increasingly stringent requirements of photovoltaic companies. On-line detection of solar panel damage has become the focus of current research.
发明内容Contents of the invention
为了解决上述现有技术存在的问题,本发明的目的在于提供一种利用微波在线检测太阳能板结构损伤的装置及方法,本发明检测装置及方法能够实现对太阳能电池板损伤情况的实时在线的监测,满足对生产线上的电池板无损检测的要求。In order to solve the problems existing in the above-mentioned prior art, the object of the present invention is to provide a device and method for online detection of solar panel structural damage using microwaves. The detection device and method of the present invention can realize real-time online monitoring of solar panel damage , to meet the requirements of non-destructive testing of battery panels on the production line.
本发明的原理为:检测系统采用的微波发射功率一般在几毫瓦到几十毫瓦之间,对不同材料微波的升温效应均可忽略,因此可以认为微波发射功率和接收功率基本相同,即无功率损耗。另一方面,太阳能电池板(硅材料)的相对介电常数约为11.9,缺陷处为空气,相对介电常数为1。相对介电常数大时,反射率就小,吸收率大;相对介电常数小时,与之相反。微波在电介质材料内部传播时,材料将发生极化现象。但是硅和空气的磁导率都是1,损耗角正切均为0,所以只有相对介电常数的区别。在微波频段内,裂纹处的介电常数与没有裂纹处的相比要低,被测对象中的少量变化将会导致其复合介电常数发生很大变化,因此可根据被测物质的相对介电常数的变化来确定其损伤。The principle of the present invention is: the microwave transmission power used by the detection system is generally between several milliwatts and tens of milliwatts, and the heating effect of microwaves on different materials can be ignored, so it can be considered that the microwave transmission power and the reception power are basically the same, that is, No power loss. On the other hand, the relative permittivity of a solar panel (silicon material) is about 11.9, and the relative permittivity is 1 when the defect is air. When the relative permittivity is large, the reflectivity is small and the absorptivity is large; when the relative permittivity is small, the opposite is true. When microwaves propagate inside a dielectric material, the material will be polarized. However, the magnetic permeability of silicon and air are both 1, and the loss tangent is 0, so there is only a difference in relative permittivity. In the microwave frequency range, the dielectric constant of the crack is lower than that of the non-crack, and a small change in the measured object will cause a large change in its composite dielectric constant. Therefore, according to the relative dielectric constant of the measured substance Changes in electric constant to determine its damage.
为达到以上目的,本发明采用如下技术方案:To achieve the above object, the present invention adopts the following technical solutions:
一种利用微波在线检测太阳能板结构损伤的装置,包括有源微波谐振腔、微波信号处理系统以及损伤情况LED指示灯13;所述有源微波谐振腔包括依次连接的矢量网络分析仪1、频率扫描源2、第一隔离器3-1、第一调配器4-1和谐振腔体6;所述微波信号处理系统包括置于谐振腔体6内的耦合探针7,和耦合探针7依次连接的衰减器11、第二调配器4-2、第二隔离器3-2以及信号微处理器电路12。A device for utilizing microwaves to detect solar panel structural damage on-line, comprising an active microwave resonator, a microwave signal processing system, and a damage
所述第一调配器4-1和谐振腔体6通过同轴电缆5连接。The first adjuster 4 - 1 is connected to the
上述所述的利用微波在线检测太阳能板结构损伤的装置的检测方法,首先将装置的谐振腔体6固定在被测太阳能电池板上方,然后通过矢量网络分析仪1控制频率扫描源2、第一隔离器3-1、第一调配器4-1和谐振腔体6发射频率为3~20GHz的微波信号8通过谐振腔体开口进入被测太阳能电池板9的表面,一部分被吸收反射,一部分穿透被测太阳能电池板9到金属背景10表面并发生全反射,然后通过耦合探针7拾取回波信号,该回波信号经由衰减器11、第二调配器4-2和第二隔离器3-2处理,并由信号微处理器电路12和事先标定的无缺陷情况下的谐振腔频率进行比较得到即时谐振腔频率偏移量Δf,通过即时谐振腔频率偏移量Δf能够得知被测太阳能电池板的结构损伤程度,并显示对应的损伤情况LED指示灯13。The detection method of the above-mentioned device that utilizes microwaves to detect solar panel structural damage on-line firstly fixes the
本发明将有源微波谐振腔运用到太阳能电池板损伤检测上,此谐振腔既是传感器,又是振荡器的一个组成部分,该装置可以固定在生产线上,让待检测的电池板通过。当谐振腔下有存在缺陷的电池板通过时,只需测量即时谐振腔频率偏移量Δf,就可测得相应电池板有无缺陷。利用微处理器电路,能获得较高的检测精度。该系统的微波发射功率约为10mW,工作时的散射微波辐射对环境及人体无污染,安全性较高且不受环境光影响,成本低。并且微波测量缺陷技术具有快速、连续,不与被测物接触,分辨力高,安全简便等优点。The invention applies the active microwave resonant cavity to the damage detection of the solar battery panel. The resonant cavity is not only a sensor but also a component of the oscillator. The device can be fixed on the production line to allow the battery panel to be detected to pass through. When a defective battery plate passes under the resonant cavity, it is only necessary to measure the instantaneous frequency offset Δf of the resonant cavity to detect whether the corresponding battery plate is defective. Utilizing the microprocessor circuit, higher detection accuracy can be obtained. The microwave transmission power of the system is about 10mW, and the scattered microwave radiation during operation has no pollution to the environment and human body, has high safety and is not affected by ambient light, and has low cost. Moreover, the microwave defect measurement technology has the advantages of fast, continuous, no contact with the measured object, high resolution, safety and convenience.
附图说明Description of drawings
附图为本发明检测装置示意图。The accompanying drawing is a schematic diagram of the detection device of the present invention.
具体实施方式Detailed ways
以下结合附图及具体实施例,对本发明作进一步的详细描述。The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.
如附图所示,本发明一种利用微波在线检测太阳能板结构损伤的装置,包括有源微波谐振腔、微波信号处理系统以及损伤情况LED指示灯13;所述有源微波谐振腔包括依次连接的矢量网络分析仪1、频率扫描源2、第一隔离器3-1、第一调配器4-1和谐振腔体6;所述微波信号处理系统包括置于谐振腔体6内的耦合探针7,和耦合探针7依次连接的衰减器11、第二调配器4-2、第二隔离器3-2以及信号微处理器电路12。所述第一调配器4-1和谐振腔体6通过同轴电缆5连接。太阳能电池板9为检测对象,设置金属背景10是为了让微波发生全反射,不然拾取不到回波信号。As shown in the accompanying drawings, a device of the present invention that utilizes microwaves to detect solar panel structural damage on-line includes an active microwave resonant cavity, a microwave signal processing system, and a
如附图所示,本发明利用微波在线检测太阳能板结构损伤的装置检测方法,首先将装置的谐振腔体6固定在被测太阳能电池板上方,然后通过矢量网络分析仪1控制频率扫描源2、第一隔离器3-1、第一调配器4-1和谐振腔体6发射频率为3~20GHz的微波信号8通过谐振腔体开口进入被测太阳能电池板9的表面,一部分被吸收反射,一部分穿透被测太阳能电池板9到金属背景10表面并发生全反射,然后通过耦合探针7拾取回波信号,该回波信号经由衰减器11、第二调配器4-2和第二隔离器3-2处理,并由信号微处理器电路12和事先标定的无缺陷情况下的谐振腔频率进行比较得到即时谐振腔频率偏移量Δf,通过即时谐振腔频率偏移量Δf能够得知被测太阳能电池板的结构损伤程度,并显示对应的损伤情况LED指示灯13。As shown in the accompanying drawings, the present invention uses microwaves to detect the device detection method of solar panel structure damage on-line. First, the
实施例Example
选取125*125mm规格的完好的太阳能硅片六片,通过线切割机分别做出如下缺陷:(1)完好的硅片;(2)直径1mm的小洞;(3)直径1.5mm的洞;(4)直径2mm的洞;(5)长度5mm的划痕;(6)长度5mm的裂纹。Select six intact solar silicon wafers with a size of 125*125mm, and make the following defects through a wire cutting machine: (1) intact silicon wafers; (2) small holes with a diameter of 1mm; (3) holes with a diameter of 1.5mm; (4) A hole with a diameter of 2mm; (5) A scratch with a length of 5mm; (6) A crack with a length of 5mm.
利用上述装置对六种不同损伤情况的试样测量谐振频率偏移量评定结果如表1所示:Using the above-mentioned device to measure the resonant frequency offset evaluation results of six samples with different damage conditions are shown in Table 1:
表1Table 1
表1中指示灯1为绿灯;指示灯2为红灯,表示太阳能硅片有损伤。In Table 1, indicator light 1 is green light;
由实验结果可知,该装置测量缺陷的阈值为1mm。小于等于1mm的缺陷不易造成谐振频率的偏移,无法测量;而大于1mm的缺陷谐振频率的偏移明显,易于测量。It can be seen from the experimental results that the threshold of the device to measure defects is 1mm. Defects smaller than or equal to 1 mm are not easy to cause a shift in resonance frequency and cannot be measured; while defects larger than 1 mm have obvious shifts in resonance frequency and are easy to measure.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104713883A (en) * | 2013-12-11 | 2015-06-17 | 上海空间电源研究所 | Rapid detection and automatic identification method for large-area space solar battery array defects |
CN104965004A (en) * | 2015-06-11 | 2015-10-07 | 四川大学 | Steel bar coaxial cable structure one-dimensional concrete health monitoring method and step tester |
CN108459306A (en) * | 2017-12-30 | 2018-08-28 | 湖北航天技术研究院总体设计所 | A kind of radar head-shield laser damage effect method for real-timely testing and device |
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2708305Y (en) * | 2004-07-06 | 2005-07-06 | 上海复旦微电子股份有限公司 | Physical damage discriminating device for non-contact IC card |
CN202548071U (en) * | 2012-04-20 | 2012-11-21 | 上海浔科自动化设备有限公司 | On-line microwave detection and elimination system for combined filter stick |
-
2013
- 2013-05-08 CN CN201310167499.0A patent/CN103278512B/en not_active Expired - Fee Related
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2708305Y (en) * | 2004-07-06 | 2005-07-06 | 上海复旦微电子股份有限公司 | Physical damage discriminating device for non-contact IC card |
CN202548071U (en) * | 2012-04-20 | 2012-11-21 | 上海浔科自动化设备有限公司 | On-line microwave detection and elimination system for combined filter stick |
Non-Patent Citations (2)
Title |
---|
杨旺火等: "太阳能级晶体硅中杂质的质谱检测方法", 《质谱学报》, vol. 32, no. 2, 31 March 2011 (2011-03-31) * |
莫洪斌等: "微波检测技术的发展", 《无损检测》, vol. 31, no. 4, 30 December 2009 (2009-12-30), pages 288 - 293 * |
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CN104713883B (en) * | 2013-12-11 | 2017-08-25 | 上海空间电源研究所 | Large area space solar battery array defect quick detection and automatic identifying method |
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