Oxygen-argon separation equipment operation system updating method and system based on artificial intelligence

The embodiment of the invention provides an oxygen-argon separation equipment operation system updating method and system based on artificial intelligence, and the method comprises the steps: obtaining a basic operation event description knowledge graph of each oxygen-argon separation equipment operation system and calibration operation fault point data corresponding to the basic operation event description knowledge graph; and training a fault observation layer included in the operation fault prediction neural network based on the basic operation event description knowledge graph and the calibrated operation fault point data corresponding to the basic operation event description knowledge graph, and outputting an operation fault point in combination with the trained fault observation layer. Compared with the prior art, the method has the advantages that the knowledge graph dimension is used for network training learning instead of the feature dimension of a certain single operation event, so that the decisio