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
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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