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作 者:吉兆中 孔令刚[2] Zhaozhong Ji;Linggang Kong(Key Laboratory of Optoelectronic Technology and Intelligent Control,Ministry of Education,Lanzhou Jiaotong University,Lanzhou Gansu;National Engineering Research Center for Green Coating Technology and Equipment,Lanzhou Jiaotong University,Lanzhou Gansu)
机构地区:[1]兰州交通大学光电技术与智能控制教育部重点实验室,甘肃兰州 [2]兰州交通大学国家绿色镀膜技术与装备工程研究中心,甘肃兰州
出 处:《建模与仿真》2024年第3期3861-3877,共17页Modeling and Simulation
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。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.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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