GIS equipment defect detection method and system based on DSPN, terminal and medium
The invention is suitable for the technical field of power system fault detection, and provides a DSPN-based GIS equipment defect detection method and system, a terminal and a medium, and the method comprises the steps: obtaining a to-be-detected defect image, inputting the to-be-detected defect ima...
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Format | Patent |
Language | Chinese English |
Published |
19.04.2024
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Abstract | The invention is suitable for the technical field of power system fault detection, and provides a DSPN-based GIS equipment defect detection method and system, a terminal and a medium, and the method comprises the steps: obtaining a to-be-detected defect image, inputting the to-be-detected defect image to a deep neural network model, generating a defect detection image, and carrying out the detection according to the defect detection image, and determining defect detection result information. The method can make full use of the potential features of the feature maps, enables the interested information to act on the output feature maps of different sizes through the space and channel weights of different scales, effectively improves the attention of the network to the global information of the X-DR image, effectively enhances the expression capability of the model, effectively aims at the features of imaging blurring of GIS equipment in the X-DR image, and improves the reliability of the X-DR image. And the def |
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AbstractList | The invention is suitable for the technical field of power system fault detection, and provides a DSPN-based GIS equipment defect detection method and system, a terminal and a medium, and the method comprises the steps: obtaining a to-be-detected defect image, inputting the to-be-detected defect image to a deep neural network model, generating a defect detection image, and carrying out the detection according to the defect detection image, and determining defect detection result information. The method can make full use of the potential features of the feature maps, enables the interested information to act on the output feature maps of different sizes through the space and channel weights of different scales, effectively improves the attention of the network to the global information of the X-DR image, effectively enhances the expression capability of the model, effectively aims at the features of imaging blurring of GIS equipment in the X-DR image, and improves the reliability of the X-DR image. And the def |
Author | LUO BING ZHANG HAOFENG XIAO WEI LIU GUOTE WANG TINGTING WEN YONGHUA |
Author_xml | – fullname: XIAO WEI – fullname: LUO BING – fullname: WANG TINGTING – fullname: ZHANG HAOFENG – fullname: WEN YONGHUA – fullname: LIU GUOTE |
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DocumentTitleAlternate | 基于DSPN的GIS设备缺陷检测方法、系统、终端及介质 |
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RelatedCompanies | ELECTRIC POWER RESEARCH INSTITUTE CO., LTD. CSG FOSHAN UNIVERSITY |
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Snippet | The invention is suitable for the technical field of power system fault detection, and provides a DSPN-based GIS equipment defect detection method and system,... |
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Title | GIS equipment defect detection method and system based on DSPN, terminal and medium |
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