Intelligent Detection Technology for Deformation Rate of Underground Drainage Pipeline Network Based On Deep Learning
Article No.: 14, Pages 1 - 8
Abstract
In order to capture the underground drainage network's shadowy environment, poor-quality photos are often captured. These images typically include little information, have low conventional pipe deformation rate detection accuracy, and have significant 3D modeling constraints. Picture quality and resolution may be greatly enhanced by using the resolution reconstruction and three-dimensional fast modeling techniques. In addition, the recognition effect can ensure the current state of the project, and the speed with which it can determine the deformation rate of pipes at every level. A guarantee for the construction control of pipeline deformation and safe operation is provided by this result, which may be applied to comparable projects.
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Index Terms
- Intelligent Detection Technology for Deformation Rate of Underground Drainage Pipeline Network Based On Deep Learning
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Published In
December 2023
292 pages
ISBN:9798400709401
DOI:10.1145/3632314
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Association for Computing Machinery
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Published: 09 December 2023
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ISIA 2023
ISIA 2023: 2023 International Conference on Intelligent Sensing and Industrial Automation
December 9 - 10, 2023
Virtual Event, China
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