RESEARCH ON IMAGE PROCESSING ALGORITHMS FOR HELIOSTAT SURFACE SHAPE DETECTION BASED ON BACKWARD-GAZING METHOD

Zhang Cheng; Wang Zhifeng; Zhu Huibin; Li Jinping; Yao Pan; Li Hui

doi:10.19912/j.0254-0096.tynxb.2024-0527

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (8) : 506-513. DOI: 10.19912/j.0254-0096.tynxb.2024-0527

RESEARCH ON IMAGE PROCESSING ALGORITHMS FOR HELIOSTAT SURFACE SHAPE DETECTION BASED ON BACKWARD-GAZING METHOD

Zhang Cheng^1-3, Wang Zhifeng^1-3, Zhu Huibin^2,3, Li Jinping¹, Yao Pan^2,3, Li Hui^1-3

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Abstract

This study delves into the application of the backward-gazing method in heliostat surface shape detection. It addresses issues in traditional methods, such as significant fitting errors between the solar shape model and the actual solar shape, and the inapplicability of algorithms for complex, irregular heliostat reflection images. Using image processing techniques, the study analyzes the fitting errors of five solar shape models compared to the actual solar shape. Additionally, it proposes an algorithm for tilt correction and registration suitable for irregular heliostat images, based on techniques like statistical optimization and Hough transform. Experimental results indicate that the Buie model has the highest fitting accuracy and better matches the actual solar brightness distribution. Furthermore, the correction algorithm achieves a tilt correction accuracy of 0.03° and a registration accuracy within ±1 pixel. The findings of this study provide a more accurate solar shape model and heliostat images that can be directly used for surface shape calculations in backward-gazing heliostat shape detection methods.

Key words

solar energy / concentrated solar power / heliostats / image processing / Hough transform / image segmentation

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Zhang Cheng, Wang Zhifeng, Zhu Huibin, Li Jinping, Yao Pan, Li Hui. RESEARCH ON IMAGE PROCESSING ALGORITHMS FOR HELIOSTAT SURFACE SHAPE DETECTION BASED ON BACKWARD-GAZING METHOD[J]. Acta Energiae Solaris Sinica. 2025, 46(8): 506-513 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0527

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