Monitoring, Warning, and Control of Rockburst in Deep Metal Mines
Copper mine
Monitoring and control
Risk Control
Early warning system
DOI:
10.1016/j.eng.2017.04.013
Publication Date:
2017-10-17T08:46:24Z
AUTHORS (6)
ABSTRACT
This paper reviews the recent achievements made by our team in mitigation of rockburst risk. It includes development neural network modeling on risk assessment for deep gold mines South Africa, an intelligent microseismicity monitoring system and sensors, understanding evolution process using laboratory situ tests monitoring, establishment a quantitative warning method location intensities different types rockburst, measures dynamic control rockburst. The at Hongtoushan copper mine is presented as illustrative example.
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