Aiming at the difficulty in predicting the production of the cutter suction dredger,we study the data of the real-time feedback of dredger operations,extract the main process parameters affecting the production of the dredger by the Relief weight algorithm,apply the partial least squares regression to establish a mathematical model between the main process parameters and the production,and achieve the purpose of dredger production prediction.The results show that the mathematical model established by partial least squares regression can predict the production well and provide an effective method for predicting the production of dredger.