Method for realizing classified early warning of data link faults of data-in-data station based on knowledge graph

The invention relates to a method for realizing fault classification early warning of a data link in data based on a knowledge graph, which comprises the following steps of: firstly, taking fault classification in the data link as a target, obtaining a fault classification model through Kmean-SVM (Support Vector Machine) model training, then constructing the knowledge graph of fault types through methods such as a Markov model and the like, and carrying out fault classification early warning on the fault types. According to the method, the basis of fault classification is obtained based on a fault domain knowledge graph and a Kmean-SVM method, the incidence relation between faults is analyzed through fault reason similarity, and then correlation faults possibly occurring in a data link are predicted. Through mutual cooperation of the machine learning fault classification module and the knowledge graph fault early warning module, intelligent analysis of the data link is realized, a series of problems existing