Image-Based Underwater Inspection System for Abrasion of Stilling Basin Slabs of Dam
The abrasion of stilling basin slabs which is caused by waterborne particles is one of the main surface damages in the operation of hydropower station. For determining whether to repair the stilling basin slabs, periodic inspections of erosion condition of stilling basin slabs are required. The prac...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/6924976 |
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| author | Yonglong Li Hua Zhang Shuang Wang Haoran Wang Jialong Li |
| author_facet | Yonglong Li Hua Zhang Shuang Wang Haoran Wang Jialong Li |
| author_sort | Yonglong Li |
| collection | DOAJ |
| description | The abrasion of stilling basin slabs which is caused by waterborne particles is one of the main surface damages in the operation of hydropower station. For determining whether to repair the stilling basin slabs, periodic inspections of erosion condition of stilling basin slabs are required. The practical problem is how to get the underwater image without unwatering and how to analyse the abrasion though the images. This paper developed a novel underwater inspection system named UIS-1 which consists of a customized underwater robot and special quantitative analysis method for this situation. Firstly, the integrated component was designed for the underwater robot that partially removes the siltation and obtains the image of the concrete surface of stilling basin slabs in the desired position. Secondly, the paper proposed an image algorithm to obtain aggregate exposure ratio for quantitative abrasion analysis. This image algorithm used SLIC superpixel and the SVM machine learning method to detect the coarse aggregate exposure automatically. Then, the aggregate exposure ratio was calculated to analyse the degree of abrasion. Finally, the UIS-1 system was evaluated in the field experiments of a dam in Sichuan, China, and its performance was discussed by comparison. |
| format | Article |
| id | doaj-art-f416fd7e7dcf4afe8d0bcdddd214303f |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-f416fd7e7dcf4afe8d0bcdddd214303f2025-02-03T01:24:08ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/69249766924976Image-Based Underwater Inspection System for Abrasion of Stilling Basin Slabs of DamYonglong Li0Hua Zhang1Shuang Wang2Haoran Wang3Jialong Li4School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, ChinaSchool of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, ChinaSchool of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, ChinaState Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, ChinaSichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610000, ChinaThe abrasion of stilling basin slabs which is caused by waterborne particles is one of the main surface damages in the operation of hydropower station. For determining whether to repair the stilling basin slabs, periodic inspections of erosion condition of stilling basin slabs are required. The practical problem is how to get the underwater image without unwatering and how to analyse the abrasion though the images. This paper developed a novel underwater inspection system named UIS-1 which consists of a customized underwater robot and special quantitative analysis method for this situation. Firstly, the integrated component was designed for the underwater robot that partially removes the siltation and obtains the image of the concrete surface of stilling basin slabs in the desired position. Secondly, the paper proposed an image algorithm to obtain aggregate exposure ratio for quantitative abrasion analysis. This image algorithm used SLIC superpixel and the SVM machine learning method to detect the coarse aggregate exposure automatically. Then, the aggregate exposure ratio was calculated to analyse the degree of abrasion. Finally, the UIS-1 system was evaluated in the field experiments of a dam in Sichuan, China, and its performance was discussed by comparison.http://dx.doi.org/10.1155/2019/6924976 |
| spellingShingle | Yonglong Li Hua Zhang Shuang Wang Haoran Wang Jialong Li Image-Based Underwater Inspection System for Abrasion of Stilling Basin Slabs of Dam Advances in Civil Engineering |
| title | Image-Based Underwater Inspection System for Abrasion of Stilling Basin Slabs of Dam |
| title_full | Image-Based Underwater Inspection System for Abrasion of Stilling Basin Slabs of Dam |
| title_fullStr | Image-Based Underwater Inspection System for Abrasion of Stilling Basin Slabs of Dam |
| title_full_unstemmed | Image-Based Underwater Inspection System for Abrasion of Stilling Basin Slabs of Dam |
| title_short | Image-Based Underwater Inspection System for Abrasion of Stilling Basin Slabs of Dam |
| title_sort | image based underwater inspection system for abrasion of stilling basin slabs of dam |
| url | http://dx.doi.org/10.1155/2019/6924976 |
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