A Risk Management System For Monitoring Deep Excavation Based On BIM-3DGIS Framework And Optimized Grey Prediction Model

With the development of urbanization,underground engineering has been increasing,and many large-scale deep excavation projects have been produced in response,along with the excavation construction safety issues is also increasing.The risk monitoring of deep excavations is always an important issue.In the past,the methods of manual monitoring have human error and information opacity.The simulation and prediction by sensor data is the core of risk information monitoring.Meanwhile,in recent years,the rapid development of Building Information Model(BIM)and Geographic Information System(GIS)has brought about the possibility of informatization and digital excavation construction safety management.Therefore,this paper proposes a deep excavation risk management system based on prediction algorithm and BIM.The system includes BIM-3DGIS framework and risk management platform incorporating the optimized grey Verhulst model(GVMm).Grey Verhulst Model(GVM)has demonstrated well performance on saturation curve,such as displacement of deep excavation.This paper further modifies the algorithm of GVM to predict the displacement more precisely.The BIM-3DGIS framework is also built by integrating BIM and 3DGIS in the application level for the efficiency of system operation and the interaction with the risk management platform by elementID.The BIM-3DGIS framework,working with the risk management platform,can effectively monitor the risk variation of deep excavation and provide visual decision making supports.Finally,a real case of deep excavation is used as the illustrative example to verify the feasibility.The results show that the prediction precision of GVMm can obtain better performance than that of original GVM both in numerical analysis and the mathematical mechanism.The application scenarios also demonstrate the effectiveness of the risk management system.