Semantic segmentation of substation tools using an improved ICNet network
In the field of substation operation and maintenance, real-time detection and precise segmentation of tools play an important role in maintaining the safe operation of the power grid and guiding operators to work safely. To improve the accuracy and real-time performance of semantic segmentation of s...
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| Format: | Article |
| Language: | English |
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AIMS Press
2024-09-01
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| Series: | Electronic Research Archive |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/era.2024246 |
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| author | Guozhong Liu Qiongping Tang Changnian Lin An Xu Chonglong Lin Hao Meng Mengyu Ruan Wei Jin |
| author_facet | Guozhong Liu Qiongping Tang Changnian Lin An Xu Chonglong Lin Hao Meng Mengyu Ruan Wei Jin |
| author_sort | Guozhong Liu |
| collection | DOAJ |
| description | In the field of substation operation and maintenance, real-time detection and precise segmentation of tools play an important role in maintaining the safe operation of the power grid and guiding operators to work safely. To improve the accuracy and real-time performance of semantic segmentation of substation operation and maintenance tools, we have proposed an improved, light-weight, real-time, semantic segmentation network based on an efficient image cascade network architecture (ICNet). The network uses multiscale branches and cascaded feature fusion units to extract rich multilevel features. We designed a semantic segmentation and purification module to deal with redundant and conflicting information in multiscale feature fusion. A lightweight backbone network was used in the feature extraction stage at different resolutions, and a recursive gated convolution was used in the upsampling stage to achieve high-order spatial interactions, thereby improving segmentation accuracy. Due to the lack of a substation tool semantic segmentation data set, we constructed one. Training and testing on the data set showed that the proposed model improved the accuracy of tool detection while ensuring real-time performance. Compared with the currently popular semantic segmentation network, it had better performance in real-time and accuracy, and provided a new semantic segmentation method for embedded platforms. |
| format | Article |
| id | doaj-art-c6620893c7ec46049e3046c3fbfa99ff |
| institution | Kabale University |
| issn | 2688-1594 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Electronic Research Archive |
| spelling | doaj-art-c6620893c7ec46049e3046c3fbfa99ff2025-01-23T07:52:42ZengAIMS PressElectronic Research Archive2688-15942024-09-013295321534010.3934/era.2024246Semantic segmentation of substation tools using an improved ICNet networkGuozhong Liu0Qiongping Tang1Changnian Lin2An Xu3Chonglong Lin4Hao Meng5Mengyu Ruan6Wei Jin7School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing 100096, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing 100096, ChinaBeijing Kedong Electric Control System Co., Ltd., Haidian District, Beijing 100192, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing 100096, ChinaBeijing Kedong Electric Control System Co., Ltd., Haidian District, Beijing 100192, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing 100096, ChinaBeijing Kedong Electric Control System Co., Ltd., Haidian District, Beijing 100192, ChinaBeijing Kedong Electric Control System Co., Ltd., Haidian District, Beijing 100192, ChinaIn the field of substation operation and maintenance, real-time detection and precise segmentation of tools play an important role in maintaining the safe operation of the power grid and guiding operators to work safely. To improve the accuracy and real-time performance of semantic segmentation of substation operation and maintenance tools, we have proposed an improved, light-weight, real-time, semantic segmentation network based on an efficient image cascade network architecture (ICNet). The network uses multiscale branches and cascaded feature fusion units to extract rich multilevel features. We designed a semantic segmentation and purification module to deal with redundant and conflicting information in multiscale feature fusion. A lightweight backbone network was used in the feature extraction stage at different resolutions, and a recursive gated convolution was used in the upsampling stage to achieve high-order spatial interactions, thereby improving segmentation accuracy. Due to the lack of a substation tool semantic segmentation data set, we constructed one. Training and testing on the data set showed that the proposed model improved the accuracy of tool detection while ensuring real-time performance. Compared with the currently popular semantic segmentation network, it had better performance in real-time and accuracy, and provided a new semantic segmentation method for embedded platforms.https://www.aimspress.com/article/doi/10.3934/era.2024246icnetlightweightsemantic segmentationtools and instrumentssubstation operation and maintenance |
| spellingShingle | Guozhong Liu Qiongping Tang Changnian Lin An Xu Chonglong Lin Hao Meng Mengyu Ruan Wei Jin Semantic segmentation of substation tools using an improved ICNet network Electronic Research Archive icnet lightweight semantic segmentation tools and instruments substation operation and maintenance |
| title | Semantic segmentation of substation tools using an improved ICNet network |
| title_full | Semantic segmentation of substation tools using an improved ICNet network |
| title_fullStr | Semantic segmentation of substation tools using an improved ICNet network |
| title_full_unstemmed | Semantic segmentation of substation tools using an improved ICNet network |
| title_short | Semantic segmentation of substation tools using an improved ICNet network |
| title_sort | semantic segmentation of substation tools using an improved icnet network |
| topic | icnet lightweight semantic segmentation tools and instruments substation operation and maintenance |
| url | https://www.aimspress.com/article/doi/10.3934/era.2024246 |
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