Deformation Monitoring And Early Warning Analysis Of Open-pit Mine Slope Based On Measuring Robot

In recent years,due to the frequent occurrence of geological disasters in the slopes of mining areas,which seriously threaten people's lives and property,it has become one of the focuses of the society.In mining operations,the mine structure is affected by multiple factors,resulting in deformation and slope deformation of the slope.Therefore,it is indispensable to carry out deformation monitoring work on the mine slope.Due to the low monitoring efficiency and high labor cost,the traditional deformation monitoring method can not meet the requirements of high automation,high precision,high efficiency,low cost and all-weather requirements of modern slope safety monitoring engineering.With the advancement of science and technology and the development of technology,the society has entered the era of "Internet+".The continuous influx of a large number of advanced technologies such as computer technology,Internet of things technology,and communication technology has brought about an opportunity for development of slope safety monitoring projects..This paper focuses on the core issues of TM30 automatic control measurement,monitoring data quality check,deformation analysis and early warning prediction,and uses the Leica TM30 measurement robot to provide secondary development interface,C# as the programming language,SQL Server as the data carrier,in Visual On the Studio 2012 platform,an open-pit mine slope deformation monitoring and early warning analysis system was developed,which can realize remote unattended control,continuous multi-cycle online monitoring,original monitoring data query,secondary reference differential correction,meteorological correction,and triangulation indirect adjustment.,singular value test,default value fitting,monitoring results chart display and report,over-limit automatic warning,real-time prediction of slope deformation and other functions.After field measurement,it is proved that the research results are applicable to the remote,unmanned,long-term and all-weather automatic monitoring of mine slope engineering,which can provide strong support for slope safety management.The specific research contents are as follows: :First,in-depth analysis of TM30's GeoCOM dedicated serial communication interface,ASCII communication protocol and function parameters,study the communication principle and characteristics of the wireless transmission module,to verify the feasibility of the deformation monitoring automatic remote monitoring program.Aiming at this research,this paper develops the automatic transmission monitoring remote transmission and control subsystem through programming,and establishes a distributed data transmission channel composed of computer,TM30 and wireless transmission module,which can simultaneously realize the measurement command and slope monitoring data of the measuring robot.Two-way transmission.Second,the main source of error in deformation monitoring and atmospheric conditions and the instrument itself,in order to improve the measurement accuracy of deformation monitoring,by combining the polar coordinate measurement method with the secondary reference difference model,eliminate the common error pair measurement after each monitoring cycle is completed.The impact of accuracy.After the method is used for experimental verification,it is found that the absolute value of the relative error of the slant range and the height difference difference before and after the correction of the monitoring points in the study area is less than 1 mm;the absolute value of the relative error of the difference correction result in the horizontal direction is also less than 0.5??.Explain the effect of eliminating the meteorological error and instrument error on the measurement accuracy after the secondary reference difference model is processed,and the accuracy is up to the millimeter level.Thirdly,through the research of Grubbs method,"3? criterion" test method,cubic spline curve fitting and linear interpolation of adjacent points,the calculation method of deformation amount period is analyzed,and a more reasonable and improved deformation analysis and early warning is proposed.algorithm.The research results show that the relationship between the statistics and the confidence in the research method is used to check the unreasonable deformation data and force denoising,and the default value is fitted according to the deformation trend.The algorithm can automatically match the advantage of the initial period deformation coordinate value,which can be fast.Perform accurate deformation analysis and early warning.Fourthly,the GM(1,1),regression model and ARIMA model are programmed into the model library,and the deformation trend of each direction is predicted in the short and medium term.By comparing the degree of model fitting,the optimal forecasting model is selected to analyze the future deformation trend of the slope and improve the accuracy of the prediction.Using the model library to fit and predict the settlement value of the target in the study area,the slope of the study area has a sinking trend,and the deformation should be paid attention to.From the prediction effect,the prediction effect of the ARIMA model is better.The minimum fit residual is suitable for long-term prediction.The mathematical model built by the gray system is also ok,but the accuracy will decrease over time.Regression analysis can only obtain more accurate prediction accuracy when the overall deformation condition roughly conforms to a certain mathematical function.Therefore,the ARIMA time series model used in this experiment can better reflect the deformation trend of the mine.