Time series semantization predicting method and time series semantization predicting system

The invention provides a time series semantization predicting method and a time series semantization predicting system. The time series semantization predicting method is characterized in that M time series of a system acquired, and every time series comprises N values, and then an M*N observation state matrix is formed, and by adopting a preset strategy, the values are divided into L categories, and every category is corresponding to a semantization label state; an M*N hidden state matrix corresponding to the observation state matrix is formed according to the corresponding relations between the values and the semantization label states; a corresponding hidden Markov model is acquired by calculating according to the observation state matrix and the hidden state matrix; the value of the current time series of the system is acquired, and is used as the current observation state value, and the semantization label state value probability distribution of the system at the next moment is calculated according to th