一种用于水库大坝安全评估的AI预测系统
By introducing an AI prediction system based on a three-dimensional geometric model and an adjacency correlation matrix into the safety assessment of reservoir dams, the problem of missing risk transmission paths in traditional assessment methods has been solved, enabling efficient and accurate assessment and early warning of dam structures.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUNAN XIANGYINHE SENSOR TECH CO LTD
- Filing Date
- 2026-04-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively reflect the transmission path of risks within the dam structure in reservoir dam safety assessments, leading to assessment results that are detached from engineering reality and cannot accurately capture the continuous impact of local deterioration on adjacent structures, especially exhibiting significant limitations in extreme environments.
An AI prediction system is constructed, which anchors monitoring data to the grid nodes of the dam's three-dimensional geometric model through the Delaunay triangulation algorithm. An adjacency correlation matrix based on physical spatial geometric index is introduced as a weight distribution constraint factor to achieve adaptive weight allocation of monitoring indicators. The system is then combined with meteorological and water level data for weighted offset correction, thus constructing a weight optimization closed loop with physical constraint characteristics.
This achieves deep integration of monitoring data with the dam's physical structure, improving the sensitivity and accuracy of risk capture and prediction under extreme conditions, enhancing the system's stability during complex nonlinear risk evolution, and reducing information redundancy and logical distortion.
Smart Images
Figure CN121997679B_ABST