METHOD OF HOTSPOT DETECTION OF PHOTOVOLTAIC PANELS MODULES ON IMPROVED SSD

被引：0

作者：

Wang D. ^{[1
]}

Li M. ^{[1
]}

Yao Y. ^{[1
]}

Li C. ^{[1
]}

Zhu R. ^{[1
]}

Li F. ^{[1
]}

机构：

[1] College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2023年 / 44卷 / 04期

关键词：

deep learning; hotspot; infrared images; object detection; PV modules; SSD;

D O I：

10.19912/j.0254-0096.tynxb.2021-1470

中图分类号：

学科分类号：

摘要：

Hot spot problem may occur during the operation of photovoltaic panels. In order to detect hotspot，an improved hotspot detection method based on Single Shot Multibox Detector（SSD）is proposed. SSD’s backbone is replaced by ResNet 101，and a new attention network is proposed that can learn the relationships among regions of the same channel feature map. The experimental results show that the improved SSD 300 model’s average precision 50（AP50）increases from 96.3% to 97.7%. To conquer the shortage of hotspot infrared images，a new method of data augmentation is proposed. After using that method，the improved SSD 300’s AP50 furtherly increases to 97.9%，and detection speed reaches 23.6 FPS，the improved model basically meets the requirements of practical application. © 2023 Science Press. All rights reserved.

引用

页码：420 / 425

页数：5

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