The invention belongs to the field of data analysis, and particularly relates to an electric power information communication fault early warning analysis method based on a big-data technique. The method includes the following steps: setting up a decision table by neatening historical fault data, and dividing each event of the historical fault data into two fields, wherein each field includes fault features and a plurality of fault reasons corresponding to the fault features; setting up rows according to the fault features and the corresponding fault reasons, wherein each row represents a real expert diagnosis case; building an expert system according to the decision table set up based on the neatened historical fault data, and inputting the decision table into a knowledge base of the expert system; setting up an inference engine in the expert system; when new fault features are input, analyzing the fault features, performing fault reason inference according to the decision table in the expert system, calculating the fault reason probability and giving an alarm by the inference device; setting up a simple Bayesian network for each fault reason according to the historical fault features through the Bayesian network by the inference device so as to infer the fault reasons.