Research On Intelligent Decision Method Of TBM Operating Parameters

In the process of TBM tunneling,tunneling operation parameters need to be adjusted continuously to adapt to changing geological conditions.Traditional operation parameters depend on manual operation experience.TBM drivers constantly observe the tunneling load data and adjust the next operation parameters in real time by combining the current operation parameters.Based on the analysis and processing of the field data of water transfer project from Songhua River in Jilin,this paper studies the mapping relationship between rock and machine data of TBM,establishes the functional relationship between tunneling data and geological parameters and geological condition prediction model.build an intelligent decision-making system of TBM operation parameters combined with the manual operation parameters selection experience and geological prediction model,which assists TBM drivers to make decisions so as to solve the problem that operation parameters adjustment is not timely,easy to be disturbed by external conditions and other factors caused by adverse effects during manual operation.The main contents of this paper include:(1)Studying the mapping relationship between rock properties and relative data of TBM status created during tunneling.Putting forward FOI(Force Operation Index)which has a high correlation with uniaxial compressive strength of surrounding rock and can be obtained by processing sensor data with specific function.With this tool we can quickly obtain real-time information of surrounding rock strength.It solves the inconvenience of rock sampling and laboratory analysis in surrounding rock data acquisition.(2)The real-time prediction model of FOI is established by using XGBoost algorithm.The model uses the FOI value of the latest tunneling mileage before the real-time tunneling point as input to predict the FOI value within 2 meter after the tunneling point.So that the driver or operation parameter decision-making model can give early warning and advance adjustment to the possible geological change,thereby reducing the risk of tunneling accidents caused by human mistakes.(3)Based on the mapping theory of rock&TBM data,to find the relationship between the manual operation parameters selection method and the properties of surrounding rock from the historical excavation data.Combining this theory with FOI geological prediction model,an intelligent decision-making system of TBM operation parameters is established to assist drivers in decision-making.