Big Data as a Product of the Preparation Plant: Reality and Prospects in the Case of Coal

Alexei Gvishiani; Izabella Nikitina; Igor Aleshin

doi:10.2205/2023ES000862

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BIG DATA AS A PRODUCT OF THE PREPARATION PLANT: REALITY AND PROSPECTS IN THE CASE OF COAL Big Data as a Product of the Preparation Plant: Reality and Prospects in the Case of Coal

АА Аа

Published in Russian Journal of Earth Sciences · Pages 1–16 · Rubric: ORIGINAL ARTICLES

DOI: https://doi.org/10.2205/2023ES000862

Received: 28.06.2023 Accepted: 13.07.2023 Published: 15.09.2023 Language of publication: RUS

Authors

Alexei Gvishiani

ORCID Scopus SPIN

Izabella Nikitina

ORCID Scopus SPIN

Igor Aleshin

ORCID Scopus ResearcherID

Alexei Gvishiani

Academic degree: doctor of physical and mathematical sciences

Science rang: academician author.academy_titles.32

Geophysical Center of the Russian Academy of Sciences Chief Scientist · Russian Federation · Moscow

Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies Russian Federation · Moscow

ORCID Scopus SPIN

Izabella Nikitina

Academic degree: candidate of technical sciences

Geophysical Center of the Russian Academy of Sciences Russian Federation

ORCID Scopus SPIN

Igor Aleshin

Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences Russian Federation · Moscow

Geophysical Center of the Russian Academy of Sciences Russian Federation · Moscow

ORCID Scopus ResearcherID

ABSTRACT

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.

KEYWORDS

big data, preparation plant, coal, mining industry, automation, information technology

Funding

This work was conducted in the framework of budgetary funding № 075-01349-23-00 of the Geophysical Center of RAS and № 075-01030-23-00 of Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences, adopted by the Ministry of Science and Higher Education of the Russian Federation.

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GOST

Gvishiani A. D., Nikitina I. M., Aleshin I. M. Big Data as a Product of the Preparation Plant: Reality and Prospects in the Case of Coal // Russian Journal of Earth Sciences. 2023. no. 3. pp. 1-16. DOI: https://doi.org/10.2205/2023ES000862. (Date of access 14.09.2026).

MLA

Alexei Gvishiani, Nikitina I. M., Aleshin I. M.. "Big Data as a Product of the Preparation Plant: Reality and Prospects in the Case of Coal." Russian Journal of Earth Sciences 23.3 (2023): 1-16. DOI: https://doi.org/10.2205/2023ES000862.

APA

Gvishiani A. D., Nikitina I. M., Aleshin I. M. (2023). Big Data as a Product of the Preparation Plant: Reality and Prospects in the Case of Coal. Russian Journal of Earth Sciences, 23(3), 1-16. https://doi.org/10.2205/2023ES000862

Chicago

Alexei Gvishiani, Nikitina I. M., Aleshin I. M.. "Big Data as a Product of the Preparation Plant: Reality and Prospects in the Case of Coal." Russian Journal of Earth Sciences 23, no. 3 (2023): 1-16. https://doi.org/10.2205/2023ES000862.

WIKI

{{cite journal | author = Gvishiani A. D., Nikitina I. M., Aleshin I. M. | title = Big Data as a Product of the Preparation Plant: Reality and Prospects in the Case of Coal | journal = Russian Journal of Earth Sciences | year = 2023 | volume = 23 | issue = 3 | pages = 1-16 | doi = 10.2205/2023ES000862 }}

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