Shield construction is the main means of digging underground tunnel.The impact of construction means on the environment is very small,and the specific construction scheme is not affected by the relevant landforms,so it is the main solution for tunnel construction in the relevant fields.When the earth pressure balance shield maintains the balance of the excavation face through the earth pressure balance bin and moves forward normally,if the control method is improper,it will affect the geological appearance and land safety,and also affect the rise and fall of the ground surface.In the process of earth pressure excavation,the earth pressure balance in the sealed cabin should be maintained.In order to ensure the safety and progress of construction,there are complex linear relationships among different parameters of the shield Sexual relations,In the process of machine driving,we can only rely on work experience and experience to control the inflow and outflow unilaterally,which greatly reduces the accuracy control of earth pressure balance,resulting in poor control effect of excavation face stability In order to achieve the target effect,a soil pressure balance control method based on fuzzy neural network is proposed.The fuzzy neural network control model of screw conveyor speed and propulsion speed is constructed by taking the torsion of cutter head,propulsion speed,screw conveyor speed and relevant earth pressure difference as the inputs,The earth pressure balance optimization control system is established based on the direct control method by using the optimal control model of error reduction.In order to obtain the control parameters of coordinated control characteristics,the advance speed and conveyor speed of shield balance are optimized.Through the verification of the real data of construction,it can be determined that this method can optimize the construction control parameters,so as to realize the control of the amount of excavation,reduce the earth pressure fluctuation in the earth pressure balance bin,and can better control the stability of the excavation face. |