Concrete structure apparent defect identification method and device based on inspection robot

By using inspection robots to collect and process concrete structure images in real time, and utilizing the YOLOv5 model and a specially designed network architecture, the problems of time-consuming, labor-intensive, and safety risks associated with manual identification have been solved, achieving efficient and accurate defect identification and adapting to complex environments.

CN120673220BActive Publication Date: 2026-03-03BCEG CIVIL ENGINEERING CO LTD
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Patent Information

Application Number
CN202510553142.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-29
Publication Date
2026-03-03
Estimated Expiration
2045-04-29

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Abstract

The application discloses a concrete structure apparent defect identification method and device based on a patrol robot, and comprises the following steps: collecting an apparent image of a target concrete structure in real time by using a patrol robot in response to an apparent defect identification instruction of the target concrete structure; obtaining a defect identification model based on YOLOv5; inputting the processed apparent image into the defect identification model; extracting global image features and context image features of the apparent image by each Transform module in a backbone network; merging and processing the global image features and the context image features by an SPPF module; enhancing key features of the merged image features by a channel attention layer and a spatial attention layer of each CBAM module in a neck network; performing feature fusion on the enhanced merged image features; obtaining fusion image features corresponding to each CBAM module; performing defect identification on each fusion image feature by a head network; and obtaining a defect identification result output by each prediction head module.
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Citation Information

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