A CHMM-based trend prediction method of kiln feeding coal is presented in this paper. PCA was employed to extract features of time series by reducing the correlated variables to principal components. The specific data of the rotary kiln thermal data has been used as experiment data. And use it as an aid-control to expert system. Simulation and experimental results show that the proposed method is feasible.