At present, realtime perception of rock mass information and the intelligent decision of TBM tunneling parameters cannot be realized due to low intelligent operation level of TBM tunneling machine. Hence, tunneling efficiency is affected, and TBM jamming and water and mud gushing often occur. In order to solve these problems, an intelligent control system of TBM tunneling parameters is developed. The system includes many functions as follows: (1) analyzing the relationship between rock mass state parameters and TBM tunneling parameters; (2) establishing mutual feedback model of rock and TBM information by data tapping; (3) predicting the tunneling parameters and evaluating the tunneling state; and (3) optimizing the TBM tunneling parameters by automatic and manual mode. The system was applied to the Songhua River water supply project, and good effect has been achieved. The results are of great significance to TBM efficiency improvement and construction safety, and can provide reference for scientific and intelligent construction of TBM tunneling.