Research On The Sun Light Tracking Method Based On Image Processing

The continuous development of the world economy,the increasingly serious environmental pollution and resources and energy shortage in today's society,Solar energy as a clean non-polluting,energy storage of renewable energy,so it is of concern.The limitless nature of the solar energy reserves is in contrast to the limited availability of other energy sources,and its prospects for exploitation and use are much broader;As the solar energy will not be monopolized by any country and any region,that is,the unlimited distribution of solar energy resources to solve the problem of shortage of resources;and solar energy truly environmentally friendly,economical and practical.But because of its low density,intermittent,spatial distribution of the changing characteristics,So as to the collection and utilization of solar energy have higher requirements.In order to make full use of solar energy,improve the utilization of solar energy,track the sun motion trajectory efficiently,Effectively tracking the sun trajectory,accurate positioning of the center of the sun center of the location,real-time feedback of solar altitude and azimuth angle changes,it is necessary to research and improve the solar automatic tracking method.The main works of this thesis are as follows:(1)Current energy crisis and environmental pollution in the current situation have been analyzed,as well as the characteristics and utilization of solar energy;the purpose and significance of solar automatic tracking method are expounded;the current research status and efficiency of the solar automatic tracking method are studied at home and abroad.(2)Astronomical laws of the sun has been studied,the solar motion trajectory related parameters of solar elevation angle and azimuth angle are analyzed;the basic principles of solar tracking methods,work methods and their advantages and disadvantages compared;three typical solar automatic tracking methods are analyzed,such as trajectory tracking,electro-optical tracking and closed-loop tracking.(3)Wiener filtering and Gaussian filtering algorithm are studied,the effects of four common filtering algorithms on salt and pepper noise,Gaussian noise and salt-Gaussian mixture noise are compared and analyzed,in view of the advantages and disadvantages of Wiener filtering and median filtering,an improved filtering algorithm for solar spot image is proposed,the improved adaptive Wiener filtering algorithm is combined with the extreme value detection median filtering algorithm,experimental simulation of the effect of five kinds of filtering algorithms on salting-gauss mixed noise.(4)The sun spot image segmentation algorithm have been studied,for the histogram bimodal method,gray-scale expectation method,iterative threshold method,OTSU algorithm and a specific region OTSU image segmentation algorithm,the experimental results show the effectiveness of the five methods of image segmentation;center-of-mass localization method have been studied,for centroid method,curve fitting method,ellipse center quadratic fitting method,Gaussian cumulative distribution fitting method and circle fitting algorithm,the experimental results show that the five center-of-mass localization algorithms are effective in solar spot treatment;and then the camera field of view two-dimensional coordinate transformation to the actual plane coordinates.(5)The sun light tracking method based on image processing.Tracking methods are compared,the tracking of the sun is based on the sun-tracking and the sun light tracking,the tracking results show that the sun light tracking has high accuracy and robustness.Filtering algorithm are compared,The MATLAB simulation of four common filter algorithm and improvement of the sun light spot image filtering algorithm,Solar flare tracking method was verified,using the sun light spot image tracking accuracy improved filtering algorithm is more accurate.