实时糙率分段估计方法及系统
By employing the EnKF algorithm and channel segmentation technology in long-distance water conveyance systems, roughness parameters can be estimated in real time, solving the problem of inaccurate roughness estimation in existing technologies and realizing the refinement of channel roughness and accurate simulation of hydraulic models.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- WUHAN UNIV
- Filing Date
- 2023-04-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to achieve real-time, detailed estimation of roughness parameters in long-distance, inter-basin water conveyance systems, especially when observation data is missing or of poor quality. This results in low accuracy of hydraulic models, making it impossible to accurately describe changes and trends in water conditions.
A real-time roughness segmentation estimation method based on the EnKF algorithm is adopted. By segmenting the channel and back-calculating the water level difference, combined with the steady non-uniform flow equation of the open channel, the roughness value is updated using the EnKF algorithm, and a state-space equation is established to estimate the roughness in the channel segment in real time.
It enables accurate and detailed estimation of channel roughness in the absence of intermediate cross-section water level observation data, improves the simulation accuracy of hydraulic models and the ability to update system status in real time, and reduces errors caused by insufficient data.
Smart Images
Figure CN116522066B_ABST