Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies
Moscow, Russian Federation
Moscow, Russian Federation
doctoral candidate
Geophysical Center of the Russian Academy of Sciences
Russian Federation
UDK 62 Инженерное дело. Техника в целом
UDK 55 Геология. Геологические и геофизические науки
UDK 550.34 Сейсмология
UDK 550.383 Главное магнитное поле Земли
GRNTI 20.00 ИНФОРМАТИКА
GRNTI 20.17 Документальные источники информации
GRNTI 20.01 Общие вопросы информатики
GRNTI 52.45 Обогащение полезных ископаемых
GRNTI 37.01 Общие вопросы геофизики
GRNTI 37.15 Геомагнетизм и высокие слои атмосферы
GRNTI 37.25 Океанология
GRNTI 37.31 Физика Земли
GRNTI 38.01 Общие вопросы геологии
GRNTI 36.00 ГЕОДЕЗИЯ. КАРТОГРАФИЯ
GRNTI 37.00 ГЕОФИЗИКА
GRNTI 38.00 ГЕОЛОГИЯ
GRNTI 39.00 ГЕОГРАФИЯ
GRNTI 52.00 ГОРНОЕ ДЕЛО
OKSO 05.00.00 Науки о Земле
BBK 26 Науки о Земле
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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