Citation: | LI Bing, ZHAO Kuan, BAI Yunshan, GUO Congbin, XU Wei, XU Dawei, ZHAI Yongjie. Defect Detection of Photovoltaic Panel Infrared Image Based on YOLOv7-EPAN[J]. Infrared Technology , 2024, 46(11): 1315-1324. |
Photovoltaic (PV) panels are an important component of photovoltaic power stations. They must be tested regularly to ensure a safe operation of the photovoltaic power station. To address the problem of small targets being difficult to detect among the complex background of aerial photovoltaic images, a defect detection method based on YOLOv7-EPAN for infrared photovoltaic panel images is proposed. First, an extended efficient network CS-ELAN module integrated with a CSWin Transformer is proposed for capturing global information effectively and suppressing background information. Second, an efficient path aggregation characteristic pyramid network (EPAN) is constructed based on CS-ELAN to enhance the information interaction between different feature layers, enrich the semantic feature information, and improve the feature expression ability. Finally, the loss function is optimized to focus the model on a prior high-quality frame and improve the positioning accuracy of small targets. The experimental results show that compared with the original YOLOv7 model, the mAP50 and mAP50:95 of the proposed method show an improvement of 6.4% and 3.3%, respectively, indicating that the proposed method can better solve the problem of missing small target defects among the complex background of aerial photovoltaic images.
[1] |
MA Q, Murshed M, Khan Z. The nexuses between energy investments, technological innovations, emission taxes, and carbon emissions in China[J]. Energy Policy, 2021, 155: 112345. DOI: 10.1016/j.enpol.2021.112345
|
[2] |
李松浓, 晏尧, 向菲, 等. 光伏直流系统故障电弧检测方法研究综述[J/OL]. 电测与仪表: 1-9. [2023-06-04]. http://kns.cnki.net/kcms/detail/23.1202.TH.20230216.1525.010.html.
LI Songnong, YAN Yao, XIANG Fei, et al. A comprehensive review on detection method for DC fault arc in photovoltaic system[J/OL]. Electrical Measurement & Instrumentation: 1-9. [2023-06-04]. http://kns.cnki.net/kcms/detail/23.1202.TH.20230216.1525.010.html.
|
[3] |
孙建波, 王丽杰, 麻吉辉, 等. 基于改进YOLO v5s算法的光伏组件故障检测[J]. 红外技术, 2023, 45(2): 202-208. http://hwjs.nvir.cn/cn/article/id/78e76f62-17bc-444b-bac5-c2bffbef819f
SUN Jianbo, WANG Lijie, MA Jihui, et al. Photovoltaic module fault detection based on improved YOLOv5s algorithm[J]. Infrared Technology, 2023, 45(2): 202-208. http://hwjs.nvir.cn/cn/article/id/78e76f62-17bc-444b-bac5-c2bffbef819f
|
[4] |
蒋琳, 苏建徽, 施永, 等. 基于红外热图像处理的光伏阵列热斑检测方法[J]. 太阳能学报, 2020, 41(8): 180-184. DOI: 10.19912/j.0254-0096.2020.08.025.
JIANG Lin, SU Jianhui, SHI Yong, et al. Hot apots detection of operating PV arrays through IR thermal image[J]. Acta Energiae Solaris Sinica, 2020, 41(8): 180-184. DOI: 10.19912/J.0254-0096.2020.08.025.
|
[5] |
孙海蓉, 周映杰, 张镇韬, 等. 基于改进自私羊群算法的光伏红外热图像热斑识别方法[J]. 中国电机工程学报, 2022, 42(24): 8942-8951. DOI: 10.13334/j.0258-8013.pcsee.212050.
SUN Hairong, ZHOU Yingjie, ZHANG Zhentao, et al. Hot spot recognition method of photovoltaic infrared thermal image based on improved selfish herd algorithm[J]. Proceedings of the CSEE, 2022, 42(24): 8942-8951. DOI:10.13334/J.0258-8013.pcse.212050.
|
[6] |
蒋琳, 苏建徽, 李欣, 等. 基于可见光和红外热图像融合的光伏阵列热斑检测方法[J]. 太阳能学报, 2022, 43(1): 393-397. DOI: 10.19912/j.0254-0096.tynxb.2020-0142.
JIANG Lin, SU Jianhui, LI Xin, et al. Hot spot detection of photovoltaic array based on fusion of visible and infrared thermal images[J]. Acta Energiae Solaris Sinica, 2022, 43(1): 393-397. DOI:10.19912/J.0254-0096.tynxb.2020-0142.
|
[7] |
王道累, 姚勇, 张世恒, 等. 基于红外热图像的光伏组件热斑深度学习检测方法[J/OL]. 中国电机工程学报: 1-9. [2023-06-04]. https://doi.org/10.13334/j.0258-8013.pcsee.221519.
WANG Daolei, YAO Yong, ZHANG Shiheng, et al. Deep learning detection method of photovoltaic module hot spot based on infrared thermal image[J/OL]. Proceedings of the CSEE: 1-9. [2023-06-04]. https://doi.org/10.13334/j.02588013.pcsee.221519.
|
[8] |
ZHAO S, CHEN H, WANG C, et al. SNCF-Net: Scale-aware neighborhood correlation feature network for hotspot defect detection of photovoltaic farms[J]. Measurement, 2023, 206: 112342. DOI: 10.1016/j.measurement.2022.112342
|
[9] |
刘宇宸, 李浩. 显著性特征融合的热红外图像光伏组件热斑检测[J]. 水力发电, 2023, 49(4): 96-101, 112.
LIU Yuchen, LI Hao. Thermal infrared image photovoltaic hot spot detection based on saliency feature fusion[J]. Water Power, 2023, 49(4): 96-101, 112.
|
[10] |
SU B, CHEN H, LIU K, et al. RCAG-Net: Residual channelwise attention gate network for hot spot defect detection of photovoltaic farms[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-14.
|
[11] |
WANG C Y, Bochkovskiy A, Liao H Y M. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[J]. arXiv preprint arXiv: 2207. 02696, 2022.
|
[12] |
宋智伟, 黄新波, 纪超, 等. 基于Flexible YOLOv7的输电线路绝缘子缺陷检测和故障预警方法[J/OL]. 高电压技术: 1-16. [2023-06-04]. https://doi.org/10.13336/j.1003-6520.hve.20221693.
SONG Zhiwei, HUANG Xinbo, JI Chao, et al. Insulator defect detection and fault warning method for transmission line based on flexible YOLOV7[J/OL]. High Voltage Engineering: 1-16. [2023-06-04]. https://doi.org/10.13336/j.1003-6520.hve.20221693.
|
[13] |
Mahrishi M, Morwal S, Muzaffar A W, et al. Video index point detection and extraction framework using custom YoloV4 Darknet object detection model[J]. IEEE Access, 2021, 9: 143378-143391. DOI: 10.1109/ACCESS.2021.3118048
|
[14] |
DING X, ZHANG X, MA N, et al. Repvgg: Making vgg-style convnets great again[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 13733-13742.
|
[15] |
Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[J]. Advances in Neural Information Processing Systems, 2017, 30: 5998-6008.
|
[16] |
Dosovitskiy A, Beyer L, Kolesnikov A, et al. An image is worth 16×16 words: transformers for image recognition at scale[J]. arXiv preprint arXiv: 2010. 11929, 2020.
|
[17] |
DONG X, BAO J, CHEN D, et al. Cswin transformer: a general vision transformer backbone with cross-shaped windows[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022: 12124-12134.
|
[18] |
LIU Z, LIN Y, CAO Y, et al. Swin transformer: Hierarchical vision transformer using shifted windows[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021: 10012-10022.
|
[19] |
WANG J, XU C, YANG W, et al. A normalized Gaussian Wasserstein distance for tiny object detection[J]. arXiv preprint arXiv: 2110.13389, 2021.
|
[20] |
Selvaraju R R, Cogswell M, Das A, et al. Grad-cam: visual explanations from deep networks via gradient-based localization[C]//Proceedings of the IEEE International Conference on Computer Vision, 2017: 618-626.
|
[21] |
LIU W, Anguelov D, Erhan D, et al. SSD: single shot multibox detector[C]//Computer Vision–ECCV 2016: 14th European Conference, 2016: 21-37.
|
[22] |
LIN T Y, Goyal P, Girshick R, et al. Focal loss for dense object detection[C]//Proceedings of the IEEE International Conference on Computer Vision, 2017: 2980-2988.
|
[23] |
Redmon J, Farhadi A. Yolov3: an incremental improvement[J]. arXiv preprint arXiv: 1804. 02767, 2018.
|
[24] |
Bochkovskiy A, WANG C Y, LIAO H Y M. Yolov4: Optimal speed and accuracy of object detection[J]. arXiv preprint arXiv: 2004.10934, 2020.
|
[25] |
ZHU X, LYU S, WANG X, et al. TPH-YOLOv5: Improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021: 2778-2788.
|
[26] |
GE Z, LIU S, WANG F, et al. Yolox: Exceeding yolo series in 2021[J]. arXiv preprint arXiv: 2107.08430, 2021.
|
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