2 results about "River model" patented technology

The present application relates to the technical field of river model experiment, and discloses a fine river model uniform sand adding experiment device, which comprises a sand adding groove, a plurality of sand discharge holes are formed in the bottom end of the sand adding groove along the axial direction; an adjusting part is arranged in the sand adding groove, the sand adding width of the sand adding groove is adjusted by moving the adjusting part in the sand adding groove; a sand adding assembly comprises a sand adding unit and a moving unit, the moving unit is slidingly connected to the top end of the sand adding groove, the sand adding unit is arranged on the moving unit and is used for conveying water and sand mixture into the sand adding groove; a control part is arranged on the sand adding groove, and the control part is used for controlling the reciprocating movement of the moving unit at the top end of the sand adding groove. The present application combines mechanical structure and automatic control, realizes the uniform distribution of sand amount in space during the sand adding process, effectively solves the problems of non-uniform sand adding, easy blockage and low adjusting precision of the traditional device, and significantly improves the reliability and scientificity of the river model experiment.

The application provides a river flow field state determination method, device and equipment and a storage medium. A water dynamic control equation is used to sample river model parameters to generate a water dynamic response sample set covering different characteristic combinations. Abnormal samples in the sample set are filtered to obtain an effective data set. According to the statistical characteristics of the effective data set and the prior range of physical parameters, the static properties and dynamic states of the river are coded into a structured representation with fixed dimensions to construct a physical enhanced proxy model with the structured representation as input. The model is trained by using a joint optimization target containing a data fitting term and a water dynamic control equation physical constraint term. The spatial adaptation mechanism is used to convert the target river entity properties into a matching target structured representation, which is input into the trained model to perform flow field deduction and obtain a flow field state prediction result of the target river at a future time. The above method can improve the efficiency, accuracy and adaptability of flow field prediction.