Research And Implementation Of TBM Virtual Tunneling System Based On Digital Twin

Hard rock tunnel boring machine(TBM)is a kind of large-scale underground tunneling equipment,which drives the cutter head to rotate,extrudes the face and makes it peel off,thus forming the tunnel section.In the process of TBM construction,TBM is driven by the driver in the main control room,the information in the main control room is relatively closed,and the surrounding rock environment is complex and changeable,so it is difficult to coordinate all the tunneling information during tunneling,and it is easy to make mistakes in decision-making.In recent years,digital twin technology has been widely used in equipment informatization and intelligent operation because of its high fidelity,virtual and real fusion characteristics.The establishment of equipment mapping in virtual space can realize equipment monitoring of multi spacetime and multi physical quantity,and with the help of intelligent algorithm to analyze operation data can play the role of auxiliary decision-making.In view of the above situation,this paper studies and realizes the TBM virtual tunneling system based on digital twin.The research contents include:(1)Around the design of TBM virtual tunneling system,the system design goal and development process are established.Based on the digital twin five layer model,the system structure is analyzed,and the system function modules are designed.Finally,according to the above analysis,the overall framework of TBM virtual tunneling system is designed,and the key technologies involved in the system development are studied.(2)Around the physical data-driven TBM virtual tunneling simulation,this paper designs a set of communication mechanism for structured transmission of real-time tunneling data,proposes a data-driven TBM virtual tunneling simulation method based on unity3 d,optimizes the model motion constraints based on Phys X engine,and proposes the visualization method of tunneling data and the dynamic mapping method of surrounding rock model.The real-time data-driven tunneling state mapping is realized,which lays the foundation for the further realization of TBM virtual tunneling system.(3)The adjustment method of tunneling parameters based on forecasting of surrounding rock tunneling index is studied.A method for predicting the advability of surrounding rock by using the collected excavation data is proposed.A prediction model is designed based on the LSTM algorithm,and the effectiveness of the prediction model is verified.The mapping between the excavability index and the excavation parameters is established,and the excavation parameters are adapted to geology.Change the adjustment strategy to realize the intelligent adjustment of the tunneling parameters.(4)Combining the aforementioned methods,the TBM virtual tunneling system is integrated and developed.Based on the field tunneling data of CREC188 model TBM,the two core functions of virtual tunneling simulation and tunneling intelligent decision-making are applied and verified,and the verification results meet the design requirements.