Journal article
Integrated monitoring of engineering structures in mining

Research Areas
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Publication Details
Journal: Eurasian Mining
Author list: Cheskidov V, Lipina A, Melnichenko I
Publication year: 2018
Journal: Eurasian Mining
Journal acronym: Eurasian Mining
Issue number: 2
Start page: 18
End page: 21
Number of pages: 4
ISSN: 2072-0823


Technological development in mining
calls for accurate modeling and continuous awareness of the behavior of
engineering objects in order to ensure mine safety. The information technologies and Big Data
enable the next-level design, operation and management in the mining industry. The principal
tool of acquisition of information on the parameters and behavior of basic production
systems under operation is monitoring. Modern mines are the complex nature-and-technology
systems, and their control is impossible without full and reliable information on the behavior
of the components. The most hazardous structures in open pit mining are slopes of pit
walls, dumps and hydraulic fill dams. The slope stability is governed by a set of factors
(geology, hydrogeology, technology and other) which feature high variability in space and time.
The ground water level monitoring in a slope structure allows interactive assessment of the
slope behavior through calculation of safety factor using geomechanical models of the
slope. In the course of time, as a result of variation in operating conditions in the mining waste
storage areas, or due to environmental changes (extra moistening of clay rocks, thawing of
frozen soil, etc.), physical and mechanical properties of stock piles and their bottoms alter.
This fact dictates periodic determination of basic characteristics of slopes: density,
cohesion and internal friction angle; the latter, together with the landslide body geometry and
hydrogeological conditions govern the ratio of shearing and retaining forces. The
optimized-rate measurement of water levels in an aquifer and adjustment of physical and mechanical
properties of rocks by means of testing or statistical checking enables reduction in total
operating cost and ensures ecological and production safety. Thus, monitoring of
engineering objects in mining is the most critical Big Data tool in practical mining upon transition
to the technologies of the Fourth Industrial Revolution.

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Last updated on 2020-01-07 at 00:10