Technology And Application Of High Precision Location In Mine Microseismic

Microseismic monitoring is currently recognized as an effective means for monitoring and early warning of mine dynamic disasters.By arranging multiple seismic pickups in the monitoring area to collect microseismic signals in real time,the space-time information and energy of microseismic events in three-dimensional space can be determined,and the qualitative and quantitative evaluation of the deformation and failure activity range,stability and development trend of rock mass in each area can be realized.Source positioning is the core of microseismic monitoring technology,and accurate and efficient detection of microseismic first arrival time is an important prerequisite for highprecision source positioning.In the face of complex and changeable underground mining environment,it is of great significance to realize the high-precision positioning of seismic source for the monitoring and early warning of ground pressure risk.Therefore,this paper focuses on the research of microseismic arrival time picking algorithm,high-precision source location algorithm and Web visualization,and has been applied and verified in a gold mine in Chifeng,Inner Mongolia.The specific research contents are as follows:In view of the low signal-to-noise ratio(SNR)of microseismic signals,the conventional automatic picking method is difficult to meet the demand of picking,this paper proposes an automatic picking method of microseismic first arrival time based on improved support vector machine(SVM).Firstly,the microseismic data is preprocessed,and then the particle swarm optimization algorithm and grid search method are used to optimize the training of SVM parameters with different step sizes,and the improved SVM model is obtained.Finally,the improved SVM model is used to pick up the first arrival time of microseismic signals.The experimental results show that the accuracy of picking up the first arrival time of microearthquakes is up to 96.5%,and the average picking error is 3.8 ms.The method can still pick up the first arrival time of microearthquakes accurately in the case of low signal-to-noise ratio.In the face of microseismic events in complex environment,the traditional single location algorithm is difficult to meet the requirements of engineering applications.Therefore,a hybrid location algorithm based on genetic algorithm and simulated annealing algorithm is proposed in this paper.The simulated annealing algorithm has the advantage of bidirectional search,which effectively solves the problem that the genetic algorithm is easy to fall into local extremum.The experimental results show that the algorithm takes into account the running speed and positioning accuracy,and achieves high-precision positioning of microseismic source,with an average positioning error of 10.05 m,which meets the requirements of practical engineering applications.In order to solve the problems of microseismic event management and data display,a Web-based microseismic event visualization system is developed.The appropriate front-end and back-end technologies are selected to complete the overall architecture design of the system,including five modules: login,microseismic event management,real-time visualization of microseismic data,display of source location information,and query of source historical data.The results of functional and non-functional tests show that the five functions of the system have good usability and can run continuously and stably.Through the processing and analysis of the real data of a gold mine in Chifeng,Inner Mongolia,it is shown that the algorithm for picking the first arrival time of microearthquakes and the algorithm for locating microearthquakes proposed in this paper meet the requirements of practical application.The research results of this paper provide important reference value for the development of the field of mine microseismic monitoring.