| Issue |
MATEC Web Conf.
Volume 356, 2022
2022 2nd International Conference on Advanced Energy, Power and Electrical Engineering (AEPEE2022)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/202235601009 | |
| Published online | 14 March 2022 | |
Investigation on rock mass stability monitoring system and activity characteristic in deep mining
1
Beijing General Research Institute of Mining and Metallurgy Technology Group, 100160 Beijing, China
2
China-South Africa Joint Research Center for Development and Utilization of Mineral Resources, 102628 Beijing, China
3
National Centre for International Research on Green Metal Mining, 102628 Beijing, China
* Corresponding author: zhangda@bgrimm.com
The monitoring system of rock mass stability and activity characteristic was established using the microseismic monitoring technology in view of the problem that the dynamic disaster of ground pressure was easy to occur in the process of deep mining. The monitoring network was set up according to the actual characteristics of the mine and the wave velocity was corrected by the method of fixed-point blasting. A monitoring network with a positioning error of 10 m was established finally. The waveform of the monitoring data was picked up and the temporal-spatial evolution characteristics of microseismic events were analyzed, the microseismic events increased greatly and in a high level, the spatial distribution was concentrated highly, the potential dangerous areas were delineated. The research results can provide references for the investigation of rock mass stability monitoring in underground engineering.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.