GB-SAR Open-pit Mine Slope Deformation Monitoring Data Analysis And Prediction Method Research

The stability of the open-pit mine slope is an important part of the mine safety production management,Ground-based Interferometric Radar is a significant new technique to monitor the deformation of open-pit mine side slope and it has following features: high precision,gigantic scale,long distance,non-contact and automation.This paper do research focus on the problem of Ground-based Interferometric Radar in the deformation data analysis and prediction,taking the monitoring data of Anjialing open-pit mine north slope in Pingshuo of Zhongmei as the data sources,and mainly studies following 4 aspects: deformation monitoring efficiency analysis,visualization expression of monitoring data,disaster analysis and deformation prediction model,according to the Ground-based Interferometric Radar's technology features.Monitoring efficiency analysis provides the basis for optimization selection of the observation station.At present,the selection of Ground-based Interferometric Radar observation station mainly refer to some basic conditions like range,stability,the angle of monitoring and external protection measurement,it's difficult to do optimization selection for some location of station that conforming to the basic conditions.First of all,basic conditions of selection of the Ground-based Interferometric Radar observation station are offered,then analyzing the internal and external factors that impact Ground-based Interferometric Radar monitoring efficiency,also,using the analytic hierarchy process to set up efficiency analysis method and choosing Ground-based Interferometric Radar echo to scan 2 indicators: the effective cover rate and the echo intensity mean,then,to evaluate the monitor efficiency.Finally,to analyze the influences that landform factor and surface feature factor to the monitoring efficiency index.Taking the case of Anjialing north slope deformation as positive analysis,it shows that,in this area,when slope figure is around 20° and exposure figure is around 170°,radar data acquisition spots are maximum;when slope figure is around 25° and exposure figure is around 180°,radar echo intensity are highest.Radar data acquisition spots in slope's side area are more than slope's flat area.Aiming at the current situation that radar monitoring data's visual degree is low and the visualization effect covers not much,putting Remote Sensing Image(RS for short)and Digital Elevation Model(DEM for short)together to Ground-based Interferometric Radar deformation monitoring data to do visualization expression,therefore,the Ground-based Interferometric Radar monitoring process data,result data and 3D visualization expression of categorical data can be conducted.This method enriches the information of land cover and ups and downs of terrain in visualization expression results.It can control monitoring area's deformation degree intuitively and estimate surface feature information of different degree of deformation area quickly to make the analysis results more intuitively and clearly.To do disaster analysis research by considering the radar monitoring data features and disaster feature information can control information about disaster area,disaster diffusion area and disaster trend.Through the synthetic analysis and study about internal factors in monitoring area(such as geological factors and landform factors)and inducing factor(such as weather,earthquake and artificial mining activities),it can know some factors that impacting the deformation of open-pit mine side slope roundly.Using spatial analysis method recognizing the spatial orientation in disaster accumulation area and doing statistical calculation about its proportion can control the degree of disaster accurately.Selecting simple point of deformation rate as the signal that estimates if disaster happened or not,and combining with the deformation features analysis near the disaster accumulation area,field conditions and weather factors,disaster situation can be analyzed.Taking north slope monitoring data as example,to do the positive analysis about disaster analysis method.It proves that this method can locate disaster area accurately,do precise statistic about disaster diffusion area and estimate disaster trend.Engineering practice shows that it's easy to have a side slope disaster when deformation to a certain degree.Considering the structure factors such as LuZi ditch anticline and Anjialing reverse fault has little influence on deformation of north slope,meteorology is an important disaster inducing factor.Considering the obvious non-linear relationship between meteorology influence data and coordinate data,deformation prediction model can be made by using GA-BP combined model.Choosing 5 types of meteorological data that collected by meteorology collection module be the input,and taking coordinate data that comes from deformation data and DEM data as prediction model output.This model combined the advantages that Back Propagation Neural Network(BPNN for short)with quick rate of convergence of solving nonlinear problem and high accuracy and superiority that Genetic Algorithm(GA for short)can prevent the BPNN from going to local minimum.Positive analysis can be conducted by applying actual monitoring data of mine side slope.Compared with prediction results of traditional RBF and BP,GA-BP prediction model improved prediction accuracy,rate of convergence and generalization ability in data prediction application.