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Study on Image Recognition Algorithm for Residual Snow and Ice on Photovoltaic Modules

Energy Engineering 2024年第4期121卷 895-911页

作者： Yongcan Zhu jiawenwang Ye Zhang Long Zhao Botao Jiang Xinbo Huang College of Electronics and Information Xi’an Polytechnic UniversityXi’an710048China Xi’an Key Laboratory of Interconnected Sensing and Intelligent Diagnosis for Electrical Equipment Xi’an710048China

The accumulation of snow and ice on PV modules can have a detrimental impact on power generation,leading to reduced efficiency for prolonged ***,it becomes imperative to develop an intelligent system capable of accurately assessing the extent of snow and ice coverage on PV *** address this issue,the article proposes an innovative ice and snow recognition algorithm that effectively segments the ice and snow areas within the collected ***,the algorithm incorporates an analysis of the morphological characteristics of ice and snow coverage on PV modules,allowing for the establishment of a residual ice and snow recognition *** process utilizes both the external ellipse method and the pixel statistical method to refine the identification *** effectiveness of the proposed algorithm is validated through extensive testing with isolated and continuous snow area *** results demonstrate the algorithm’s accuracy and reliability in identifying and quantifying residual snow and ice on PV *** conclusion,this research presents a valuable method for accurately detecting and quantifying snow and ice coverage on PV *** breakthrough is of utmost significance for PV power plants,as it enables predictions of power generation efficiency and facilitates efficient PV maintenance during the challenging winter conditions characterized by snow and *** proactively managing snow and ice coverage,PV power plants can optimize energy production and minimize downtime,ensuring a sustainable and reliable renewable energy supply.

关键词： Photovoltaic(PV)module residual snow and ice snow detection feature extraction image processing

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