In order to accurately detect the hot spot defects of photovoltaic modules,analyze the area and position occu-pied by the hot spots,and propose a thermal spot defect detection method for photovoltaic modules based on image process-ing.The heat emission power of each area was calculated,and the grayscale histogram characteristics of the red hot external image of the PV module were analyzed.The spatial domain method is used to process the pixels in the image,and the image clarity is improved by constructing the image linear enhancement function.On the Image Net database,the hot spot features are extracted,the B-spline least squares fitting is used,the best approximation problem of the spline basis function on the norm is obtained,the minimum deviation between the hot spot curve and the sample point is obtained,the glitch and local undulation in the histogram are eliminated,and the hot spot in the image is detected.The experimental results show that the minimum difference between the hot spot area results and the actual data under normal conditions is 0.1 cm2,and the hot spot position detection results are consistent with the original images under the influence of non-uniform noise,indicating that the detection results using the studied method are accurate.
万方数据
维普
