River water conservancy dispatching and water pollution collaborative treatment system based on digital twinning
By using digital twin technology to predict river resource capacity and generate tradable tokens, the problem of low resource utilization efficiency in watershed management has been solved, and market-based collaborative optimization of reservoir multi-objective scheduling and spatially differentiated management of pollution emissions have been realized.
Patent Information
- Application Number
- CN202610209038.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-13
- Publication Date
- 2026-06-26
- Estimated Expiration
- 2046-02-13
AI Technical Summary
Existing technologies are unable to adapt to the dynamic and complex nature of watershed management, resulting in low efficiency in the utilization of water resources and environmental capacity, difficulty in coordinating and optimizing multi-objective scheduling of reservoirs, and inability of pollution discharge rights management to reflect differences in environmental risks at spatial locations.
A river water management and water pollution collaborative governance system based on digital twins is adopted. The predictive digital twin module predicts future resource capacity and generates tradable water rights tokens, pollution rights tokens and hydrodynamic potential energy tokens. The futures trading module is used for market allocation and the intelligent performance control module automatically executes control commands.
It has achieved dynamic allocation of water resources and pollutant discharge, coordinated optimization of multi-objective reservoir scheduling under market mechanisms, and guided spatial differentiation of pollution discharge at the economic level, thereby improving resource utilization efficiency and the refinement of environmental risk management.