Efficient prediction method and system for time-varying modal parameters in thin-wall blade machining

The invention belongs to the field of thin-wall blade modal prediction, and particularly discloses a thin-wall blade machining time-varying modal parameter efficient prediction method and system, and the method comprises the following steps: carrying out the grid division and node coordinate extraction of a three-dimensional model of a blade, carrying out the feature processing according to the extracted node coordinates, and obtaining the appearance feature data of the blade; building a blade frequency prediction model and a vibration mode prediction model based on deep learning; blade machining parameters are obtained in real time, blade appearance characteristic data are modified according to the machining parameters, the blade appearance characteristic data are input into the frequency prediction model and the vibration mode prediction model, the first five-order frequency and the vibration mode of the blade are obtained, and real-time prediction of modal parameters during blade machining is achieved. Acc