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Research on semantic segmentation and recognition algorithm integrating multi-scale convolutional attention mechanism for algae pollution on insulator surface
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Shifang YANG1, Xinyi ZANG1, Mingxi ZHU3, Yunpeng LIU1, Chaojun SHI2, Zhidong JIA4
Insulating Materials | 2024, 57(11) : 135 - 143
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Insulating Materials | 2024, 57(11): 135-143
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Research on semantic segmentation and recognition algorithm integrating multi-scale convolutional attention mechanism for algae pollution on insulator surface
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Shifang YANG1, Xinyi ZANG1, Mingxi ZHU3, Yunpeng LIU1, Chaojun SHI2, Zhidong JIA4
Affiliations
  • 1Department of Electric Power Engineering, North China Electric Power University, Baoding 071000, China
  • 2Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071000, China
  • 3State Grid Shaanxi Electric Power Research Institute, Xi′an 710100, China
  • 4Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
Published: 2024-11-20 doi: 10.16790/j.cnki.1009-9239.im.2024.11.017
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Algae is a special kind of biofouling, its attachment on the insulator surface of electrical equipment will significantly reduce the fouling flash resistance of insulator , which poses a threat to the safe and stable operation of power grids. In this paper, a semantic segmentation algorithm of insulating algae integrated multi-scale convolution attention mechanism was proposed. Firstly, a model for insulating algae class semantic segmentation was constructed on the basic U-Net network model, and VGG16 was used as the backbone feature extraction network. The model adopts a U-shaped structure, and the left side is the feature extraction part of the VGG16 backbone, which can effectively extract the informations of five feature layers. The right side was the enhanced feature extraction part. CBAM module was selected for attention module, and the multi-scale convolution was introduced based on CBAM module. Then the CABM convolutional attention module was added to the encoder and the decoder of U-Net network before up-sampling and down-sampling. Finally, the model was compared with Deeplabv3+ and Transfuse network on the self-constructed algae-covered insulator image dataset. The results show that compared with the basic U-Net model, the mIoU value of this model improves by 0.28, mPA value improves by 0.27, Dice coefficient improves by 0.06, Hausdorff distance reduces by 11.77, and the RVE value reduces by 0.06. The visualization results of the segmentation process demonstrates that the model in this paper can pay more attention to the algal coverage region, and locate the boundary of the algal coverage region more accurately, which reduces the segmentation error effectively.

insulating algae  /  image processing  /  semantic segmentation  /  attention mechanisms
Shifang YANG, Xinyi ZANG, Mingxi ZHU, Yunpeng LIU, Chaojun SHI, Zhidong JIA. Research on semantic segmentation and recognition algorithm integrating multi-scale convolutional attention mechanism for algae pollution on insulator surface[J]. Insulating Materials, 2024 , 57 (11) : 135 -143 . DOI: 10.16790/j.cnki.1009-9239.im.2024.11.017
Year 2024 volume 57 Issue 11
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2024.11.017
  • Receive Date:2024-04-04
  • Online Date:2025-12-24
  • Published:2024-11-20
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  • Received:2024-04-04
  • Revised:2024-06-21
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Affiliations
    1Department of Electric Power Engineering, North China Electric Power University, Baoding 071000, China
    2Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071000, China
    3State Grid Shaanxi Electric Power Research Institute, Xi′an 710100, China
    4Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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