平原河网地区水闸泵站系统联合调度研究OA

In order to improve the response and coordination ability of flood season drainage scheduling in plain river network areas,a typical tidal basin was selected as the research object,and combined with the situation of the Tonglu Canal area,a gate pump joint control scheduling optimization system integrating digital twin platform and ensemble assimilation algorithm was constructed.The system integrates a 3D visualization platform,hydrological dynamic model,and control rule engine to form a closed-loop architecture of"data model control".The EnKF(Ensemble Kalman Filter)method is used to dynamically modify important state variables such as water level and rainfall,thereby improving the model prediction accuracy and enhancing the scheduling response capability.The stable scheduling of this system under multi-source disturbances and complex working conditions is verified,which has certain engineering practical value and provides technical support for smart water conservancy scheduling.