基于图像识别的线性菲涅尔反射镜面型检测方法研究
The Research on Concentrating Solar Mirror Face Shape Detection Method Based on Image Recognition
摘要: 一次反射镜作为线性菲涅尔式光热发电系统中收集太阳能与实现光热转换的关键部件，其面型质量对系统的光学性能和整体效率有着直接影响。传统的面型检测技术存在操作复杂、成本高昂、效率低下等问题，所以对一次反射镜面型检测技术的优化研究具有重要意义。本文基于图像识别设计了一种新型反射镜面型检测系统，并对图像预处理、特征提取等关键技术进行了研究。
Abstract:
A reflector is a key component of solar energy and the realization of light thermal conversion as a linear Fresnel -like photoelectric power generation system. Its facial quality has a direct impact on the optical performance and overall efficiency of the system. Traditional facial detection technology has problems such as complex operation, high cost, and low efficiency, so it is of great significance to optimize the optimization of one reflex mirror-type detection technology. This article is based on image recognition and designed a new type of reflex mirror-type detection system, and studied key technologies such as image pre-processing and feature extraction.
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