Laser radar detection system for reservoir dam
By using a robot dog mobile carrier to carry a multi-parameter adjustable lidar flaw detection system, combined with environmental perception and dynamic compensation modules, the problem of high-precision, full-coverage, and non-destructive testing of reservoir dams by traditional detection technologies has been solved. This has enabled intelligent identification and quantitative analysis of internal defects in dams, improving detection efficiency and reducing operation and maintenance costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN TONGCE TECH CO LTD
- Filing Date
- 2026-04-16
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional testing technologies struggle to achieve high-precision, comprehensive, and non-destructive testing of reservoir dams, especially for underwater areas, steep high-altitude sections, and deep internal structures. Furthermore, existing systems lack the ability to intelligently identify and quantitatively analyze defect features.
The system employs a mobile robot dog carrying a multi-parameter adjustable lidar flaw detection module, combined with an environmental perception and dynamic compensation module, to achieve real-time scanning and data processing of the dam body. It utilizes a deep learning model for defect identification and quantitative analysis, and achieves intelligent operation and maintenance of the system through a remote control and communication module.
It achieves full coverage inspection of dams, improves inspection accuracy and efficiency, reduces operation and maintenance costs and risks, and supports intelligent safety management of dams throughout their entire life cycle.
Smart Images
Figure CN122410554A_ABST