Monitoring And Engineering Application For Settlement Predictionusing Grey Markov Chain Deformation Of Subway Foundation Pit

In recent 30 years,with the rapid development of the national economy and the growing population,the existing traffic conditions in urban areas can not meet the needs of people's daily travel,the development and utilization of subway engineering,and its development trend is more and more complex,the station structure is more complex,and the subway station is located in urban traffic and relatively dense area,the station and its surrounding buildings more and more.City subway station often requires a deep foundation pit,in the process of foundation pit excavation will cause the deformation of the surrounding rock,so that the ground buildings,underground pipelines operating brings security risks,once the problem,will cause immeasurable damage to the surrounding environment.According to the monitoring plan of the city subway,the influence of the construction organization on the ground deformation and the deformation monitoring of subway foundation pit,the paper analyzes the method and the influence of various construction methods on the surrounding environment.In this paper,the research results of domestic and foreign,the existing data analysis model is combed,select a reasonable model for monitoring data for data detection,curve smoothing,deformation prediction,and strive to achieve accurate warning.Because of the influence in process monitoring by site conditions of constraints and measurement operator error,the monitoring data may be bad value,in order to get the accurate data,this paper adopts Aida criterion to check the monitoring data,data analysis can accurately grasp the deformation monitoring of dynamic changes,make accurate judgment,maintain the normal construction of deformation monitoring of changes,when the data is abnormal,early warning,timely adjustment of construction methods and add to the supporting structure.In this paper,the graphic smoothing method to analyze the monitoring data.After data analysis,the deformation monitoring data sequence is considered as a grey process with the time variation.Markov chain is suitable to forecast the random fluctuations of the larger problem,can reveal the system affected by the randomness of various complicated factors,the use of grey GM(1,1)model to reflect the grey system of,with the dynamic process of Markov chain to reaction system is affected by the randomness,the organic combination of the two models to achieve the purpose of scientific prediction,through the precision analysis,grey Markov chain prediction model application is feasible for the prediction of monitoring points,and has certain practical value in engineering.To sum up,the cultural during the construction of subway foundation a pit deformation andmonitoring of the content;in subway foundation pit of different construction methods and different monitoring project proposed reasonable monitoring;wrought monitoring research results at home and abroad,put forward reasonable deformation monitoring data analysis model and the data analysis model of deformation monitoring data are analyzed,and using Markov chain prediction model of a monitoring values were predicted.