# Microseismic Electronic Fencing for Monitoring of Transboundary Mining in Mines
###### Abstract  
Mine transboundary mining has been occurring frequently in recent years, and this illegal behavior has brought great potential danger to mine safety while also causing greater losses of state-owned assets. However, the current method of monitoring transboundary mining is still mainly based on underground verification by supervisors, which is far from meeting the demand for supervision. Microseismic monitoring technology is effective for monitoring transboundary mining due to its ability to locate vibration signals. For mine transboundary mining monitoring, this paper proposes a microseismic electronic fence method focusing on mine boundary locating, which differs from the routine microseismic monitoring used in mining operations. This method focuses its key monitoring area on the mine boundary. The deployment mode, number of sensors, and localization theory are analyzed, and numerical simulation and field measurement data analysis results show that the microseismic electronic fence method can achieve a localization accuracy of 15-20 m for underground microseismic events in the vicinity of mine boundaries, which can be effectively applied to the monitoring of transboundary mining activities. microseismic monitoring; transboundary monitoring; source localization; sensor optimization Article  
[PERSON], [PERSON], [PERSON], [PERSON], D. Microsseismic Electronic Fencing for Monitoring of Transboundary Mining in Mines  
[PERSON], [PERSON], [PERSON], L.  
the presence of transgressions or other illegal activities, thus meeting the regulatory needs of shaft mines. The key function of microseismic monitoring technology used for monitoring cross-boundary mining is to accurately locate the vibration generated around the mine boundary, and many studies have been carried out by scholars at home and abroad to improve the accuracy of vibration source location. In the study of localization methods, the first iteration-based linear inversion method proposed by [PERSON] laid the foundation for subsequent numerical localization methods [6]. [PERSON] and [PERSON] proposed a simplex algorithm different from linear inversion, which searches for the optimal value of the objective function through function comparison and graphical transformations [7]. [PERSON] et al. introduced the simplex method in seismic source localization [8]. The continuous development of computer technology has led to the rapid development of nonlinear methods, and numerous stochastic optimization algorithms have begun to be applied to microseismic source localization [9]. The development of data acquisition systems has enabled the application of waveform-based localization methods. [PERSON] et al. proposed an inverse fold-product offset method to improve the source localization accuracy by combining inverse fold-product interferometry with interferometric cross-correlation offsets [10], and [PERSON] et al. proposed a high-resolution microseismic source localization estimation method based on the theory of scattering, which is effective in achieving strong energy focusing [11]. [PERSON] et al. proposed a TD method without pre-speed measurement from the objective function and achieved better localization results [12]. [PERSON] et al. proposed a TM method that combines the moment of onset with the coordinates of the seismic source, which has good application value [13]. [PERSON] et al. established a simplex seismic source localization method based on L1-paradigm statistics [14]. While the above scholars carried out the research from the locating method, many scholars also carried out the research on other factors affecting the localization accuracy. [PERSON] et al. proposed a cluster of triangular cone sensors for the localization technique, which considered the refraction of acoustic waves in the inhomogeneous medium and analyzed the difference in the signal time of different sensors [15]. [PERSON] et al.