Markov model-based data medium station operation fault prediction method

The invention relates to a Markov model-based data medium station operation fault prediction method. The method comprises the following steps of: A, quantifying an operation state; step B, formulating a fault diagnosis model; step C, optimizing an early warning mode, and proposing a six-layer system operation state quantitative evaluation system such as a service fault phenomenon and a component fault phenomenon; a fault diagnosis model is established based on the above state indexes, and model optimization is carried out by means of hidden Markov, so that operation and maintenance personnel in the data platform can be assisted in rapidly positioning faults, and the operation and maintenance efficiency is improved; and finally, designing and realizing an online fault diagnosis positioning system. On the basis of a six-layer operation state quantitative evaluation system and an active operation and maintenance mode of the Tianjin electric power data middle station, on one hand, a Tianjin electric power data mi