A STUDY ON APPLICATION OF DEEP LEARNING TO SURFACE PREPARATION DETERMINATION FOR WEATHERING STEEL BRIDGES
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- GOBARA Tatsuya
- 松江工業高等専門学校 生産・建設システム工学専攻
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- OHYA Makoto
- 松江工業高等専門学校 環境・建設工学科
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- TAKEBE Masamichi
- 松江工業高等専門学校 環境・建設工学科
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- HIROSE Nozomu
- 松江工業高等専門学校 環境・建設工学科
Bibliographic Information
- Other Title
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- 耐候性鋼橋梁の除錆度判定への深層学習の適用に関する検討
Abstract
<p>If the defect of anticorrosion function is found, it is desirable eliminate the cause. When it is difficult to eliminate the cause, repair coating will be examined. Then, surface preparation grade by blasting stipulated by ISO Sa2 1/2 or higher is required as surface treatment before repair coating. Evaluation the surface preparation grade is performed by visual inspection in comparison with the representative photo example of ISO 8501-1. In this study, the authors try to develop the support system to determine the surface preparation grade from the image of blasting and discuss the difference between the learning model and the judgment accuracy due to the difference in the size of the teacher image data. The results suggest that system judged the unevenness and hueinthe imagebyvisualization ofbasisfor Judgmentusing Grad-CAM. It wasconfirmedthatsupport systemclassified surface preparation grade based on basis of judgement clearly.</p>
Journal
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- Intelligence, Informatics and Infrastructure
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Intelligence, Informatics and Infrastructure 3 (J2), 248-254, 2022
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390575588668899456
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- ISSN
- 24359262
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed