The Influence Mechanism and Optimization of the Sensor Network on the MS/AE Source Location

Abstract

The sensor network layout is a key factor affecting the accuracy and stability of the microseismic/acoustic source (MS/AE) location. Based on the arrival-time-difference principle, the hyperbolic/hyperboloidal governing equations for the source location are derived. The nonuniformity geometrical characteristics of hyperbolic/hyperboloidal field for the source location are obtained. The sensor network does not induce any location errors; it only affects the source location accuracy by amplifying the existing errors in the input data during the source location process. Also, this amplication effect of the input data errors is characterized by nonuniformity because of the nonuniformity of the hyperbolic/hyperboloidal field. Furthermore, two basic effects, the geometrical spreading and the directional control, of the sensor network are investigated, and the three-dimensional space quantitative models of these two effects are established, respectively. The influence of the wave velocity error and arrival time error on the source location accuracy is analytically compared, and the propagation characteristics of these two types of errors during the source location process are revealed. The concepts of critical arrival-time difference and critical hyperbola/hyperboloid are proposed. Based on these two concepts, the monitoring area can be divided into two regions where the source location accuracy is controlled by the velocity error and the arrival time error, respectively. The concept of direction angle of paired sensors is proposed, and the relationship between the source location and the layout of four typical paired sensors is studied. Finally, the principles of sensor network optimization are determined.

Study on Synchronous Response Law of Acoustic and Electrical Signals of Outburst Coal Rock under Load and Fracture

“…With increasing micro-and macrocracks in the sample, the propagation of elastic waves in the sample becomes more complex, and the attenuation characteristics change significantly compared to those at the initial stage of loading. Furthermore, the fixed position of the AE sensor causes the signal strength and frequency received by a single AE probe to change significantly compared to the AE source [48,49]. At the later stage of loading, under the action of severe cracking, the AE sensor even falls off, or the coal attached to the sensor peels off from the main body of the sample.…”

Study on Mechanical and Acoustic Emission Characteristics of Backfill–Rock Instability under Different Stress Conditions

“…Meanwhile, previous studies have shown that the arrangement of sensors has a significant impact on positioning accuracy [26]. Li et al [27] concluded that the sensor network does not introduce location errors but amplifies existing errors in input data during the source location process. They found that location accuracy decreases dramatically when the AE source is at the edge or outside the sensor arrangement.…”

Microseismic source location based on improved artificial bee colony algorithm: Performance analysis and case study

“…In addition, some scholars have also studied the influence of MS network layout on positioning accuracy. Gong et al [20] have established a solution model suitable for largescale network combined planning for the MS monitoring system, aiming at the optimization problem of largescale network, effectively solving the layout and optimization problems of mine seismic network. Li et al [21] proposed sensor network optimization principles to improve positioning accuracy by studying sensor spatial layout.…”