Modification And Accuracy Analysis Of Automatic Monitoring Data For Operational Subway Tunnel

With the economic development and urbanization,more and more people poured into the city.Excessive population density caused great pressure to the ground traffic,traffic congestion has become a major obstacle to the development of the city.In order to reduce the pressure on ground traffic,many large cities to develop underground rail transit as a solution.Therefore,in order to reduce the ground traffic pressure,many large cities have been planned to build subway or Underground construction.With the development of the city,more and more buildings near the subway tunnel have caused the deformation of the subway tunnel,which may have a serious impact on the safety and stability of the tunnel,thus endangering the traffic system of the whole city.To ensure the safety of the subway tunnel under operation,to ensure the operation of the subway lines safely,to ensure that the majority of passengers of the physical safety group,the safety monitoring of the subway tunnel under operation is of great significance.Traditional subway tunnel monitoring methods,due to the cost,accuracy,timeliness,feasibility and other factors,has gradually lost its advantage compared to the emerging means of monitoring.In the monitoring of the the subway tunnel under operation,in order to keep abreast of the deformation of the subway tunnel,to achieve information monitoring,to ensure the absolute safety of the subway tunnel,as well as the timely response to the sudden situation,generally take the manual monitoring and automated monitoring combined mode to operate.In the operation of subway tunnel automation monitoring used in the static level and laser range finder and other monitoring instruments for tunnel settlement and convergence of two monitoring indicators of measurement.This kind of instrument has the advantages of high resolution,high precision,high stability,high reliability,fast response time and long working life.All the automation data is transmitted to the data acquisition and monitoring platform through the wireless network and distributed through the webpage.Users can manage the project in real time,maintenance and other operations.A lot of experience shows that the operation of subway tunnel automatic monitoring system has good accuracy,excellent timeliness,reasonable cost,etc.,has become the main means of operating subway tunnel monitoring.However,in practice,it is found that there is a large deviation between the data of the settlement automation and the data of the artificial measurement in the interval where the tunnel convergence is larger.In the smaller interval,the data of the settlement automation monitoring and the artificial measurement data are compared Anastomosis Therefore,this paper attempts to start from the mathematical model of the subway tunnel and the mathematical statistical model of the monitoring data.According to the cause of the settlement observation error,the revised model is put forward to modify the automatic monitoring data of the subway tunnel to make the subway settlement automation monitoring data reach higher The accuracy.The results show that the two correction models can improve the accuracy of settlement automation monitoring data.The geometric correction model of the best adaptability,although the local correction of the data accuracy can meet the requirements,Dan is not as good as the regression model of high precision correction.The local correction accuracy of the regression model is high,but the applicability is poor.Through the research of this paper,it can not only improve the accuracy of the settlement data of the subway tunnel,but also improve the stability and applicability of the monitoring system of the subway tunnel,which is of great significance to perfect the data processing flow and expand the system function.