基于点云数据的城镇防涝体系优化方法及系统
By using a point cloud-based method to optimize urban flood control systems, a three-dimensional hydrodynamic model was constructed using laser point cloud data and semantic maps. This solved the accuracy and reliability issues of flood control systems under complex terrain and achieved high-precision drainage optimization.
Patent Information
- Application Number
- CN202610544648.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
- Estimated Expiration
- 2046-04-23
AI Technical Summary
Existing urban flood control systems struggle to accurately identify drainage anomalies and structural failure risks under complex terrain and diverse rainfall scenarios, resulting in insufficient input accuracy and poor analysis reliability of flood control system models.
By acquiring laser point cloud data, filtering and feature extraction are performed to generate point cloud terrain feature data. Combined with flood control semantic map, a semantic mapping relationship between structure type and hydraulic structure is established, a three-dimensional hydrodynamic model is constructed, water flow calculation is performed, and drainage strategy is optimized.
It improves the data accuracy and analytical reliability of the urban flood control system optimization process, ensures the numerical accuracy and stability of water flow calculation, identifies drainage obstruction areas, and optimizes flood control structures.
Smart Images
Figure CN122088388B_ABST
Abstract
Citation Information
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