Stability Analysis Of High Slope Of Open-pit Mine Based On New Generation Of Information Technology

With increasing of the open pit mining depth in the world,the height of the slope increases gradually.In recent years,with application Internet of things,cloud computing,big data and other new generation of information technology in mining engineering,how to construct the slope engineering information space,which can establish the associated with entity and data,realize state sensing,real-time analysis,scientific decision-making,accurate implementation of functions,and lay the foundation to solve the complexity of slope evolution and uncertainty problems,is an important development trend to enhance analysis and early warning of geological disasters of slope stability.This paper is focused on the analysis of slope stability early and deformation prediction.A data driven method hybrid virtual simulation model for stability analysis of slope and monitoring was proposed and the integration of cyberspace and physical space was formed.In addition,the test platform based on the cloud was built.The main research contents include:1)The engineering geotechnical environment and in-situ stress of the slope by rock mechanical experiments,in-situ stress measurement and joints field survey were obtained firstly.Establishing numerical simulation model find the instability characteristics of the slope of open-pit.The results show that the numerical simulation model can effectively simulate the steady loss law of slope structure and reflect the slope structure,the stability characteristics of regional structure evolution.2)The slope monitoring system architecture and information fusion scheme based on the Internet of things are proposed.Smart devices for measurement of physical parameters such as strain,stress and acoustic measurement are designed.In addition,we develop the communication technology of double network hybrid heterogeneous,achieving efficient close communication,improving the communication efficiency.The application of the Internet of things monitoring system with direct measurement of the state of the slope is the basis for the construction of virtual slope model data.3)Six synthetic artificial intelligence methods were proposed to analyze the stability of the slope.The application results are compared with each other,which show that the integrated AI method based on ML and FA algorithm could be used to predict the stability of the slope and can be verified with confusion matrix,ROC value and AUC value.Moreover,it has been found that the optimized SVM method is the best in the reliability of predicting value.4)A data driven method hybrid virtual simulation model for slope stability analysis was proposed,and a software prototype was also set up.The virtual simulation model can be data generator for artificial intelligence training,and the one side classification support vector machine method was used as machine learning model to detect the abnormal state of the structure.On the other hand,the measured data can be input data for the artificial intelligence mode to predict abnormal state.Through the simulation of a sub model and examples of real-time monitoring for method verification,the results show that the method can early warning of abnormal state structure.This method makes up for the shortcomings of the historical data in the mining application data driven method,and also realizes the online real-time prediction.5)By means of Hadoop,a large data management platform for analysis of slope stability was proposed.In addition,HDFS,HBase and Hive are used to build large data storage and management system.The MapReduce is used for parallel computing and Spark of memory paralleled computing platform is used as a data analysis system to construct virtual slope data model for analyzing slope stability.The results of this study based on Cyber-Physical theory construct the technical architecture of the slope stability analysis by a data driven method with virtual simulation model.Based on the new generation of information technology,the test platform is built to lay the foundation for the online real-time stability analysis for mine slope.