A fire development situation prediction method includes collecting simulation data of a fire, establishing a neural network of an engineered deep learning model, training the neural network with the simulation data, determining whether an output value of the neural network is less than or equal to a preset error threshold value, stopping training of the neural network when the output value of the neural network is less than or equal to a preset error threshold value, recollecting the simulation data of the fire when the output value of the neural network is not less than or equal to a preset error threshold value, and evaluating the development situation of the fire according to the engineered deep learning model. The fire development situation prediction method is for predicting a development situation of a fire.