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dc.contributor.authorDremin, A. V.en
dc.contributor.authorVelikanov, V. S.en
dc.date.accessioned2025-02-25T10:47:06Z-
dc.date.available2025-02-25T10:47:06Z-
dc.date.issued2023-
dc.identifier.citationДремин, А., & Великанов, В. С. (2023). Цифровые технологии для взрывных работ: интеллектуальный автономный программно-аппаратный комплекс компании «Давтех» для анализа гранулометрического состава горных пород. Горная промышленность, (6), 57-62. https://doi.org/10.30686/1609-9192-2023-6-57-62apa_pure
dc.identifier.issn1609-9192-
dc.identifier.issn2587-9138-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Bronze Open Access3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85194559733&doi=10.30686%2f1609-9192-2023-6-57-62&partnerID=40&md5=b5161d7f54dc264c83d45e59d02f71961
dc.identifier.otherhttps://issek.hse.ru/mirror/pubs/share/603838492.pdfpdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/141489-
dc.description.abstractRock blasting is the first stage of rock crushing and it plays a defining part in the process chain of mining and processing of minerals. The difficulties in correlating the data on particle size distribution in the muck pile with the blast, the rock properties and the energy characteristics of explosives define the need to solve a wide range of scientific and practical tasks. Contemporary approaches to optimizing the particle size distribution ("fragmentation") are based on considering the energy efficiency of explosives and controlled distribution of the blast energy during the blast. At the current development stage of digital technologies in the mining industry, the qualitative and quantitative characteristics in assessing the particle size distribution are determined with the help of tools that estimate the size of the rock pieces by analyzing two- or three-dimensional images obtained by various technical means. The authors of the article present a study of the rock particle size distribution analysis based on digital technologies using a Russian innovative hardware and software suite developed by the DAVTECH Company. During a full-scale study the authors confirmed that the hardware and software suite ensures satisfactory results for a preliminary assessment of blasting operations due to faster sampling using a fully autonomous system, and it provides reliable information and allows visualizing and comparing the data of a large number of measurements. The studied hardware and software suite also secures improved safety by eliminating manual sampling directly at the muck pile, thus avoiding work in high-risk areas. © 2023, Scientific and Industrial company 'Gemos Ltd.'. All rights reserved.en
dc.format.mimetypeapplication/pdfen
dc.language.isoruen
dc.publisherScientific and Industrial company 'Gemos Ltd.'en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceMining Industry Journal (Gornay Promishlennost)2
dc.sourceGornaya Promyshlennosten
dc.subjectDRILLING AND BLASTING METHODen
dc.subjectFRAGMENTATIONen
dc.subjectHARDWARE AND SOFTWARE SUITEen
dc.subjectMININGen
dc.subjectOPEN PIT MINEen
dc.subjectPARTICLE SIZE DISTRIBUTIONen
dc.titleDigital technologies in blasting: DAVTECH's intelligent autonomous hardware-and-software suite for analyzing particle size distribution of rocksen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.30686/1609-9192-2023-6-57-62-
dc.identifier.scopus85194559733-
local.contributor.employeeDremin A.V., DAVTECHLLC, Ekaterinburg, Russian Federationen
local.contributor.employeeVelikanov V.S., DAVTECHLLC, Ekaterinburg, Russian Federation, Ural Federal University, Russia B.N. Yeltsin, Ekaterinburg, Russian Federation, Ural State Mining University, Ekaterinburg, Russian Federationen
local.description.firstpage57
local.description.lastpage62
local.issue6-
local.volume2023-
local.contributor.departmentDAVTECHLLC, Ekaterinburg, Russian Federationen
local.contributor.departmentUral Federal University, Russia B.N. Yeltsin, Ekaterinburg, Russian Federationen
local.contributor.departmentUral State Mining University, Ekaterinburg, Russian Federationen
local.identifier.pure58367452-
local.identifier.eid2-s2.0-85194559733-
local.fund.rsfNadezhda Valentinovna Karnaukh
local.fund.rsfThe authors are grateful to Nadezhda Valentinovna Karnaukh, Doctor of Pedagog-ical Sciences, Professor of the Department of Pedagogy and Psychology at Blagoveshchensk State Peda-gogical University, for the opportunity to organise the research.
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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