Research On Parametric Modeling And Visual Warning Of Metro Station Based On Revit

With the continuous development of China's construction industry,the engineering structure tends to become larger and more complex.It also puts great demands on building design capabilities,and the health of building structures has also received great attention.At present,the development status of the domestic construction industry is not very in-depth research and development of BIM technology,and the subway station engineering workload is large,the structure construction risk is high,in order to improve the modeling efficiency and ensure the normal operation of the subway station building structure,It is necessary to adopt effective technical means to monitor the structure of the subway station in real time and for a long time,and perform visual warning in the subway station model.At the same time,in order to better create the parameterized information model of the subway station and the design of the visual warning plug-in,Revit is used as the core modeling software of the BIM technology,using the C# programming language,combined with the API program interface for the secondary development of the subway station.The main research contents are as follows:(1)Create a parameterized family library for subway stations.Through the research and analysis of each component of the subway station,the creation of the parametric family model according to the different structural characteristics of each component,the establishment of the library of the subway station component family.The secondary development of the metro station family library,create a non-modal dialog box with drag and drop function,you can freely call related family components in the family library,assemble the subway station model,reduce the workload,improve the modeling efficiency,Visual warning provides model environment support.(2)Establish a BP network prediction model based on MATLAB.By analyzing the theory of neural network and the rules of actual monitoring data,a network prediction model for the monitoring data of subway station foundation pits is created.Using the actual monitoring data of a subway station as a training sample,the prediction data based on BP neural network is obtained.(3)Establish a numerical simulation of part of the foundation pit model of the subway station based on ABAQUS.The parameterized model of the subway station created based on Revit is imported into ABAQUS,and numerical simulation is performed to obtain the simulation calculation data of the foundation pit of the subway station.Compared with the BP neural network prediction method,it shows that the neural network prediction result has high precision and poor predictability,and the ABAQUS prediction method has good predictability and low accuracy.Therefore,ABAQUS prediction deformation can better control the accident in advance.The BP neural network prediction data can provide data support for the subway station early warning plug-in.(4)Warning plug-in based on Revit subway station.Taking a subway station as an example,verify the feasibility of creating module functions such as batch importing of forecast data for subway station warning plug-in,data viewing,automatic warning,monitoring curve viewing,etc.,and verify the practicability of the methods and procedures proposed in the project.