Risk Zone Identification Of Slope Based On Microseismic Monitoring

Landslide disasters have the characteristics of rapid occurrence and greater damage.Under the influence of mining activities,open-pit mine slope landslides occur from time to time.In order to improve the safety management level of mines and ensure the stable development of mining enterprises and the lives of employees,it is necessary to dynamically monitor the safety status of the slope in real time and identify and delineate the dangerous area of the slope.The main research contents are as follows:(1)Noise reduction of slope micro-seismic monitoring signal.A VMD-SSA-based microseismic signal noise reduction method is proposed.The method first uses VMD to decompose the noisy microseismic signal to obtain several intrinsic mode function(IMF)signal components from low frequency to high frequency.The kurtosis threshold is used for noise filtering,and the signal component to be reconstructed is selected to realize the removal of high-frequency noise.Then the reconstructed signal after noise reduction is denoised twice by SSA filtering method,the residual low frequency noise is further removed,and the noise reduction processing of the microseismic signal is realized.In the process of simulation analysis,the two parameters of signal-to-noise ratio and root mean square error are used to verify the noise reduction effect of this method,and the results of the algorithm are compared with the noise reduction results of EMD and VMD decomposition.(2)The location of the slope microseismic monitoring event.Using the positioning method that changes the amplitude superimposed energy into the amplitude cross-correlation multiplied energy,and the multiplied energy is used as the imaging energy value of the potential seismic source,the data experiments of single source and multi-source positioning are carried out,and the amplitude cross-correlation superimposes,amplitude Comparing the two methods of linear superposition,the results show that the method of cross-correlation and multiplication can maintain high source imaging resolution and positioning accuracy even in the presence of noise.(3)Recognition of dangerous area of slope based on multi-parameter information fusion.After obtaining the exact location of each microseismic event,extract the microseismic source parameter information,and analyze the change characteristics of the microseismic source parameter in combination with historical landslide events that have occurred,such as the number of microseismic events,changes in energy index,etc.,and these parameters and the rock mass The stability relationship is based on the main event density,energy density,b value and other parameter characteristics combined with cloud diagram form to identify and delineate the dangerous area of the slope.(4)Engineering application examples.The thesis analyzes the application of examples to carry out signal noise reduction,event location,and identification of the dangerous area on the microseismic monitoring data of the slope dangerous area on the mining area,and finally calculates the distribution of the dangerous area of the slope in a certain period of time.In this paper,a deep and detailed study on the identification of slope dangerous zone is carried out,which verifies the scientific validity and application value of the research method in this paper,and provides a new theoretical framework for the research and application development of microseismic monitoring.