基于数字孪生技术的水利工程智能调度系统研究

Key Points

• The aim is to explore how digital twin technology can transform scheduling in water conservancy engineering to enhance efficiency and decision-making.
• Developed a comprehensive framework integrating perception, modeling, simulation, decision-making, and feedback.
• Investigated key technologies like multi-source heterogeneous data fusion and high-fidelity hydrodynamic model coupling.
• Applied the system to a large-scale reservoir group as a case study.
• The intelligent scheduling system improved scheduling accuracy and emergency response capabilities significantly.
• Achieved effective multi-dimensional collaboration between ecological, economic, and safety metrics.
• Enabled a shift from an experience-driven to a data-model dual-driven paradigm in hydraulic engineering.