Multi-mode anomaly detection method for high-speed rail train control system

The invention discloses a multi-mode anomaly detection method for a high-speed rail train control system, and is applied to the technical field of train safety detection. The method comprises the following steps: acquiring a log text and lamp display visual data in the running process of a train control system as an original data set; the method comprises the following steps: preprocessing an original data set, labeling various types of anomalies in the original data set, and dividing according to a proportion to obtain a training set, a verification set and a test set with labels; establishing an anomaly detection model based on text-vision multi-mode learning of the high-speed rail train control system; inputting the training set and the verification set into an anomaly detection model to realize model training; inputting the test set into an anomaly detection model to realize performance evaluation; and applying the anomaly detection model to the high-speed rail train control system to realize system anoma