基于VisionPro太陽能電池片外觀檢測(cè)系統(tǒng)設(shè)計(jì)
[Abstract]:Solar power generation has been the concern of all mankind, its market demand has also increased. The quality of the solar cell is the key to the battery cell module, so it is very important to check the quality of the battery in the actual production. The common battery chip is polycrystalline and single crystal, this system is mainly for polycrystalline battery chip. The main appearance defects of the polycrystalline battery chip are angle, edge breakage, coarse gate broken gate, and color difference of the surface. The appearance defect of the polycrystalline battery chip will greatly reduce the battery component's power generation and its service life. The color difference of the surface will affect the visual beauty of the battery module, and its classification can improve the commercial competitiveness. In this paper, according to the actual demand of battery chip appearance detection, a solar cell appearance detection system based on VisionPro is designed, which integrates mechanical structure and software control. The design of this system has profound practical application value. The mechanical structure mainly includes image acquisition system structure, battery chip separation device and grab device. The structure design of the image acquisition system is based on the camera lens and light source to determine the scheme. The purpose of the system is to collect high quality images and provide a good basis for the next appearance detection. The design of the device for separating and grasping the battery chip is based on the placement of the battery chip and the characteristics of the battery chip so as to achieve the purpose of high efficiency and low debris rate. They play a key role in the transportation of the whole system. Software control mainly includes image acquisition module, image processing module and communication module. The camera parameters are set, the white balance and calibration are carried out, and after the image collection is completed, the appearance of the battery chip is detected by VisionPro vision software, and the required data result is obtained. After the calculation and judgment, the battery chip is classified and processed. Finally send the command to the manipulator PLC, camera, complete communication, achieve system automation. The whole system software is programmed on Visual Studio platform with C # language.
【學(xué)位授予單位】:南京理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM914.4
【參考文獻(xiàn)】
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