Casting mold temperature rapid prediction method based on convolutional neural network

The embodiment of the invention provides a casting mold temperature rapid prediction method based on a convolutional neural network, and relates to the technical field of intelligent casting technologies. The method comprises the following steps: acquiring historical casting simulation data and historical mold position temperature data; performing integration processing on the historical casting simulation data and the historical mold position temperature data to obtain first historical data, and constructing a first database based on the first historical data; performing characterization processing on the first historical data to obtain first feature data; performing learning training on a to-be-trained convolutional neural network model through the first feature data and the first historical data to obtain a target model; and performing temperature prediction on a to-be-predicted first casting process through the target model to obtain a target temperature of a first mold in the first casting process. Accor