Automobile wind tunnel large fan system health prediction system and method

The invention relates to the technical field of automobile wind tunnels, in particular to a health prediction system and method for a large fan system of an automobile wind tunnel, and the method comprises the steps: obtaining real-time equipment parameter data and historical equipment parameter data of all equipment; performing data preprocessing on the acquired equipment parameter data; constructing a tree structure evaluation system comprising a system, a subsystem and equipment from bottom to top; prediction models are constructed and trained, the prediction models comprise a first prediction model and a second prediction model, the first prediction model is constructed based on a large-scale time sequence prediction model, and the second prediction model is constructed based on a DSCNN neural network and a tree structure evaluation system; and using the trained prediction model to output health prediction results of each level of the system, the subsystem, the equipment and the equipment parameters. Acco