Research On The System Of Geometric Measurement And Bearing Detections For Solar Battery

Machine vision as a non-contact measurement of solar cell geometry and location information detection, machine vision has advantages of wide selection of objects, high production efficiency, safe and reliable etc. at present, machine vision has been widely used in industrial manufacture, National defense and military, engineering surveying and other fields. Through the machine vision detection of monocrystalline silicon solar cells. This paper introduces the basic function of the realization of the hardware system, systematically analyzes the design basis of each module, and comprehensively applies the analog circuit, digital circuit, SOPC, machine vision and image processing knowledge to make a geometric measurement on battery plate and a study about the position correction.Firstly, in order to achieve the geometric measurement and positioning correction on solar battery, design a camera system based on FPGA, which consists of a CMOS camera module,100M Ethernet module, SDRAM module and FPGA module and its peripheral module. According to the requirements of measurement accuracy, analyze each module of hardware system function, finish model selection of each module device, draw the schematic diagram and produce PCB, write Verilog HDL and C language by using Quartus Ⅱ and NIOS Ⅱ software, debug the hardware circuit, and realize the display and storage of upper computer of solar battery image.Secondly, aiming at the problems existing in geometric measurement of solar battery. This paper adopts Zhang Zhengyou’s method on plane calibration to calibrate camera, and according to the calculation of the effective focal length of camera intrinsic matrix to calculate the actual size of a single pixel. based on the choice of camera and camera lens, propose a kind of subpixel edge extraction to make edge extraction on solar battery to lower camera pixels and meet the accuracy requirements. Then use Hough transform positioning solar battery busbar and calculate the deflection angle.Finally, according to the experimental results for analyzing the solar battery image based on the hardware system and the requirements of geometric measurement on key performance and indicators, considering both the geometric precision of measurement and image processing time, combine the processing of embedded PCB camera system, complete the wiring layout and impedance matching device. Through theoretical analysis and practical considerations, in order to achieve industrial online monitoring solar battery, this paper finally analyses the typical defects of solar battery—the most common type of off angle defect detection algorithm, and designs the corresponding measurement and calculation, with a off-angle solar battery to verify, analyzing the experimental results.