Geo-deformation polygon and geomechanical research at the mine Magnesitovaya

Author(s):  
R. V. Krinitsyn

The Satka deposit features rockburst hazard. The critical depth for launching prevention of dynamic phenomena of strata pressure in underground mining is from level +180m downward. The Geodynamics and Rock Pressure Laboratory at the Institute of Mining, Ural Branch, Russian Academy of Sciences has designed a geo-strain control facility enabling prompt tracking and early response to variations in the stress state of rock mass using the automated monitoring system. The automated monitoring system allows real-time tracking of deformation processes. The control facility is additionally equipped with large-spacing flexible- wire gauging stations, slot-measuring stations and photoelastic strain gaging stations. The geo-strain control facility makes it possible to respond promptly to the changes in the stress state of rock masses. The mine personnel apply appropriate ground control techniques which ensure safety of mining. As a result, the static and dynamic phenomena of strata pressure are minimized, and, consequently, safety of underground mine personnel is improved.

2011 ◽  
Vol 80 (8) ◽  
pp. 596-603 ◽  
Author(s):  
Alexander I. Levchenko ◽  
Veronique M. Boscart ◽  
Geoffrey R. Fernie

2018 ◽  
Vol 239 ◽  
pp. 01014 ◽  
Author(s):  
Svetlana Makasheva ◽  
Pavel Pinchukov

The paper deals with the problem of automated monitoring system improvement. The goal of the study is to create a controlling module of automated monitoring system for automation of calculations and assessment process of traction transformer's remaining life analysis. To achieve the goal, the modern power transformer’s diagnostic systems and methods of scientific analysis are considered, full-scaled experimental study are used. To adjust the timing of the current and major repairs, it is proposed to improve this monitoring system by creating an additional module to determine the traction transformer’s remaining life throughout its life cycle in real time and the formation of a warning system. Requirements to transformer’s remaining life assess module are formulated. Calculation algorithm and program module for identifying the transformer’s remaining life parameters are described. Benefits of introduction into the existing AMS a new additional module for calculating the transformer’s remaining life are shown.


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