Intelligent Attitude Control Method for Shield Tunneling Machines Considering a Rectifying Mechanism: A Case Study of the Chengdu Subway
Haohan Xiao, Ruilang Cao, Shangxin Feng
Abstract
During tunnel construction with earth pressure balance (EPB) shield machine, the machine operators determine the attitude correction parameters depending only on their own experiences. Inappropriate parameter setting may lead to more and more deviation of equipment attitude, delay of construction period, or even ground collapse. An attitude correction method for an EPB shield machine is proposed in this study to assist new machine operators in determining suitable operating parameters in advance considering the previous correction experience. The proposed method first reconstructs the tunneling parameters and attitude parameters according to experienced drivers. Then, using these parameters, an association model based on multiple machine algorithms is established to refine the important association rules of EPB shield machine attitude. Finally, the optimal range of deviation correction parameters corresponding to different attitude deviation is generated. This assisted attitude control method was examined using the data from the Chengdu Subway project in China. Essentially, this study can be helpful for the equipment attitude correction and the determination of correction parameters, paving the way for ideal track driving in harsh tunneling environments.