Decision Support System for Optimization Control in Shield Excavating Process

It is very important for controling ground deformation, ensuring safely operation and decreasing energy cost to perform harmoniously control of multi-system in shield tunneling. The decision suport system is proposed based on in-situ observed data in sheild tunneling. The soil charactiristics are identified according to in-situ observed data and fuzzy clustering model of soil layer classification. By making use of nonlinear mapping and self-orgenization and selfadpting of neural network, chamber soil pressure is modeled. The forecasting contrl model is proposed for solving nonlinear, time-variation, time-delay and stochastic system control. Optimal tunneling parameters are achied in order to increase robustness of control system and decrease energy cost and cutter abrasion.