Fault prediction method based on 360-degree dynamic image detection system

The invention relates to the technical field of image processing, in particular to a fault prediction method based on a 360-degree dynamic image detection system. Comprising the following steps: acquiring image data of a train, and identifying abnormal item points in an image according to an image processing algorithm; constructing an associated empirical model, and distributing corresponding weights for different types of abnormal item points according to empirical rules; constructing a historical model, identifying and analyzing a fault mode and a trend based on historical data of the train, and predicting the service life and the replacement period of parts; and constructing a transmission model for simulating the propagation process of the fault signal, and quantitatively evaluating the influence degree of the fault signal on the data in the propagation process through model analysis. According to the fault prediction method based on the 360-degree dynamic image detection system, potential faults are accu