Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies
Moscow, Russian Federation
Moscow, Russian Federation
Geophysical Center of the Russian Academy of Sciences
Moscow, Moscow, Russian Federation
UDC 62
UDC 55
UDC 550.34
UDC 550.383
CSCSTI 20.00
CSCSTI 20.17
CSCSTI 20.01
CSCSTI 52.45
CSCSTI 37.01
CSCSTI 37.15
CSCSTI 37.25
CSCSTI 37.31
CSCSTI 38.01
CSCSTI 36.00
CSCSTI 37.00
CSCSTI 38.00
CSCSTI 39.00
CSCSTI 52.00
Russian Classification of Professions by Education 05.00.00
Russian Library and Bibliographic Classification 26
BISAC SCI SCIENCE
The article examines the current and future flow of preparation’s plant production processes and how they contribute to the generation of Big Data. It is shown that as the level of automation in the plant increases, the data produced becomes more extensive and varied. At the same time, it is possible to achieve a level when the generated information flows meet the criteria of the Big Data. As a basic example, a typical coal processing plant is used. The main sources, volumes, variety and speeds of data transfer to the processing plant are described and analyzed.
big data, preparation plant, coal, mining industry, automation, information technology
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