Optimization Control Of Energy Consumption In Tunneling System Of Earth Pressure Balance Shield Tunneling Machine

In cities,the rapid increase of population causes traffic congestion.In order to alleviate this problem,the development and utilization of underground space has become the main trend of urban development,and the underground engineering construction mainly relies on shield technology.The soil pressure balance shield machine is famous for its high efficiency and safety,small disturbance and strong adaptability to geological conditions.But it requires high construction level and high investment cost.In order to save cost,we must reduce energy consumption,improve construction efficiency and save unnecessary energy waste.In this paper,the energy consumption in the tunneling process of the soil pressure balance shield tunneling machine was studied:(1)The parameters affecting the propulsion system of shield tunneling machine are analyzed theoretically.According to the theory of soil mechanics and fluid mechanics,the force of the propulsion system is analyzed.Energy consumption is defined in terms of work done.The thrust force of the shield tunneling machine is calculated,and the mathematical model of the work done by the propulsion system is further calculated according to the principle of energy conservation.The mathematical model of energy consumption of the shield propulsion system is obtained based on the data from the construction site.An adaptive particle swarm optimization(APSO)algorithm was used to analyze the energy consumption and the sensitivity of each parameter.(2)The cutter head system of shield tunneling machine is analyzed.According to the theory of physics to analyze the cutter disk system,Energy consumption is defined in terms of work done.Based on the empirical method and the theoretical method,the torque of the cutter disc iscalculated,and the advantages and disadvantages of the two methods are compared.According to the principle of energy conservation,the mathematical model of the work done by the cutter disk system is obtained.Based on the data of shield tunneling,the mathematical model of energy consumption of shield tunneling cutter plate system is obtained.Adaptive genetic algorithm(AGA)was used for simulation experiment,and the experimental results were analyzed.(3)By analyzing the tunneling system of the shield tunneling machine,the improved formulas of thrust and cutter plate torque are obtained.At the same time,the formula of the torque of the screw conveyor is obtained by analyzing the slag discharge system of the shield.Based on the analysis of the above three systems,a mathematical model of energy consumption for the tunneling system of the shield tunneling machine is constructed.By using fruit fly optimization algorithm(FOA),multi-parameter collaborative optimization is carried out to obtain the optimal values of thrust,propulsion speed,cutter disk speed,cutting depth,burial depth,screw conveyor speed and screw conveyor torque.At the same time,the optimal trajectory of each parameter is studied,and the influence of each parameter on energy consumption is revealed.The control effects of multi-parameter collaborative optimization of tunneling system and single variable parameter optimization of propulsion system and cutter head system were compared.The results show that FOA algorithm is better than APSO algorithm and AGA algorithm in controlling single variable of propulsion system and cutter disk system...