基于数字高程模型的抽水蓄能电站智能选址方法
By employing an intelligent site selection method based on digital elevation models, water system networks are extracted and candidate reservoirs are constructed. Spatial overlap and hydraulic interference are detected and resolved, solving the site selection problem for reservoir resources in complex watersheds and improving the accuracy and reliability of pumped storage power station planning.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HOHAI UNIV
- Filing Date
- 2026-05-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to quickly and accurately identify high-head, large-capacity reservoir resources in complex watershed topographic environments. Furthermore, the automated generation of dense reservoir clusters can easily lead to topological contradictions and spatial overlaps between upstream and downstream water flows.
Based on the digital elevation model, the water system network is extracted, candidate dam site nodes are set up along the water system network, candidate reservoirs are constructed and reservoir parameters are calculated, spatial overlap and hydraulic interference are detected, the optimal subset of reservoirs without conflict is selected, and the optimal site selection scheme is output.
It achieves intelligent perception of topographic features across a large watershed and global dynamic resolution of massive site selection conflicts, improving the accuracy of early planning and the reliability of engineering site selection for pumped storage power stations.
Smart Images
Figure CN122221547B_ABST
Abstract
Citation Information
Patent Citations
Pumped storage power station site selection method, data processing terminal and readable storage medium
CN116151421A
Pumped storage power station planning and site selection method based on multi-dimensional association network model
CN121146278A