Flow field prediction method and device, terminal equipment and storage medium

Abstract

The invention is suitable for the technical field of flow field prediction, and provides a flow field prediction method and device, terminal equipment and a storage medium, and the method comprises the steps: obtaining a first coordinate corresponding to a to-be-measured point, and the to-be-measured point is a coordinate point in a computational domain; the first coordinates serve as input of a pre-trained neural network model, first flow field data output by the neural network model are obtained, and the first flow field data reflect the air flow condition corresponding to the to-be-tested point; wherein the neural network model reconstructs a flow field in the computational domain based on a physical law described by a fluid control equation, and predicts the air flow condition of the to-be-measured point according to the flow field and the first coordinate to obtain the first flow field data. The accuracy of flow field prediction can be improved. 本申请适用于流场预测技术领域，提供了流场预测方法、装置、终端设备及存储介质，包括：获取待测点对应的第一坐标，所述待测点为计算域中的坐标点；将所述第一坐标作为预训练的神经网络模型的输入，得到所述神经网络模型输出的第一流场数据，所述第一流场数据反映了所述待测点对应的空气流动状况；其中，所述神经网络模型基于流体控制方程描述的物理规律重构所述计算域内的流场，根据所述流场和所述第一坐标预测所述待测点的空气流动状况，得到所述第一流场数据。本申请可以提高流场预测的准确性。