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Gold Science and Technology ›› 2023, Vol. 31 ›› Issue (4): 659-668.doi: 10.11872/j.issn.1005-2518.2023.04.113

• Mining Technology and Mine Management • Previous Articles     Next Articles

Design and Research of Distributed Microseismic Monitoring System in Deep Well Large-scale Mining Mine

Jun ZHANG1,2(),Qingping YANG3,Fangfang LIU1,2,Jinzhong ZHANG3,Gangqiang XU2,Xiaosong LI3   

  1. 1.Changsha Smart Mining Inc Ltd. , Changsha 410083, Hunan, China
    2.Changsha Digital Mine Inc Ltd. , Changsha 410012, Hunan, China
    3.NFC Africa Mining PLC, Beijing 100089, China
  • Received:2022-08-29 Revised:2023-07-11 Online:2023-08-30 Published:2023-09-20

Abstract:

Deep well large-scale mining is one of the important development trends of mining methods at home and abroad,but this mining method also faces the threat of complex ground pressure disasters.Based on the requirements for the design of microseismic monitoring system in Chambishi copper mine,a typical deep well large-scale distributed mining mine,the distributed microseismic monitoring system design scheme was studied in this paper.Deep well large-scale mining will inevitably lead to the dispersion of underground monitoring equipment.Because the microseismic data acquisition substations at different locations are running underground,due to the continuous accumulation of network delays,there will be large time synchronization errors,and the time synchronization errors will cause the microseismic events originally occurring in the south mining area to be located in the north mining area or in unrelated areas,so that the true location of ground pressure disasters cannot be accurately monitored.In addition,the microseismic monitoring software will carry out statistical analysis of all the monitored events when carrying out quantitative statistical analysis,and the ground pressure disaster activity characteristics in different regions have nonlinear characteristics,so it is necessary to carry out statistical analysis of data separately.In view of the difficulties in the design of distributed microseismic monitoring system,two key technologies have been researched and developed based on the existing microseismic monitoring system technologies.One is the high-precision time synchronization technology to solve the time synchronization problem of ultra long-distance distributed equipment,and the other is the monitoring data spatial filtering technology to solve the data analysis of ground pressure disaster activities in different regions.Based on the application of the above key technologies,the design concept of the distributed microseismic monitoring system was realized.At the same time,the network numerical calculation tool was used to simulate the system positioning accuracy of the distributed microseismic monitoring design scheme.The key data required by the microseismic monitoring network analysis tool are three-dimensional coordinate information of the sensor position,sensitivity value of the sensor,seismic wave velocity,P-wave variance and arrival error variance.Based on the above data,the positioning error was calculated numerically,and finally the three-dimensional cloud map of the positioning error in the central area and the surrounding area of the monitoring station network was obtained.The network analysis results show that the design scheme meets the monitoring needs of actual ground pressure activities,thus verifying the feasibility of the design scheme.The solution can be applied to the same type of mines and has certain promotion value.

Key words: deep well, large-scale mining, distributed microseismic monitoring system, time synchronization, spatial filtering, seismological network analysis

CLC Number: 

  • TD76

Fig.1

Distribution map of southeast orebody development system in Chambishi copper mine"

Fig.2

3D view of overall division of South-North mining area of southeast orebody in Chambishi copper mine"

Fig.3

Industrial ring network design of southeast orebody in Chambishi copper mine"

Fig.4

Delay response mechanism of PTP protocol"

Fig.5

Architecture of time synchronization accuracy test system for microseismic monitoring system"

Fig.6

Statistical analysis of time accuracy in test cycle"

Fig.7

Effect diagram of distributed monitoring data analysis based on spatial filtering technology"

Fig.8

Topology of microseismic monitoring system"

Fig.9

3D layout of microseismic monitoring system"

Table 1

Sensor numbers and corresponding three-dimensional coordinates in the microseismic monitoring network"

传感器编号三维坐标
XYZ
S680-1-9 727.3314 842.22559.519
S680-2-9 758.0614 781.42559.912
S680-3-9 785.6814 726.42559.914
S680-4-9 617.5614 643.69564.607
S680-5-9 583.7814 703.26564.757
S680-6-9 549.9114 761.80564.891
S680-7-9 432.1214 571.32566.266
S800-1-9 746.0714 849.76441.590
S800-2-9 641.7514 807.39441.400
S800-3-9 594.0414 903.38442.134
S800-4-9 477.7314 696.10447.358
S800-5-9 416.7714 801.79447.780
S960-1-10 372.8015 944.26265.244
S960-2-10 430.8015 835.29265.633
S960-3-10 347.4015 788.95273.118
S960-4-10 289.6015 892.07273.941
S960-5-10 257.6015 739.78280.628
S960-6-10 200.0015 842.49274.856
S1080-1-10 393.0015 706.99156.465
S1080-2-10 250.8015 756.23156.834
S1080-3-10 177.9015 889.44157.658
S1080-4-10 338.2016 003.69157.900
S1080-5-10 411.0015 871.76156.854
S680-8-9 382.3814 660.23564.872
S800-6-9 298.8614 606.08449.012
S680-1-9 727.3314 842.22559.519
S680-2-9 758.0614 781.42559.912
S680-3-9 785.6814 726.42559.914
S680-4-9 617.5614 643.69564.607
S680-5-9 583.7814 703.26564.757
S680-6-9 549.9114 761.80564.891
S680-7-9 432.1214 571.32566.266

Fig.10

Analysis results of microseismic monitoring network(envelope area with error less than 10 m)"

Fig.11

Apparent stress cloud diagram of microseismic monitoring data"

Fig.12

Change curve of YL-28# borehole stress meter monitoring data"

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