
DIGITIZATION
Original Paper
UDC 528.8 © K.I. Peters 1, L.N. Shcherbakova 2, E.A. Fedulova 2, A.D. Kuznetsov 2, L.N. Burmin 2, 2024
ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2024, № 10, pp. 110-117
DOI: http://dx.doi.org/10.18796/0041-5790-2024-10-110-117
Title
THE PRACTICE OF USING 3D-MODELS IN THE MINING INDUSTRY ON THE EXAMPLE OF COAL ENTERPRISES IN THE KEMEROVO REGION – KUZBASS
Authors
K.I. Peters 1, L.N. Shcherbakova 2, E.A. Fedulova 2, A.D. Kuznetsov 2, L.N. Burmin 2
1 “Vzryv Group” LLC, Kemerovo, 650000, Russian Federation
2 Kemerovo State University, Kemerovo, 650000, Russian Federation, e-mail: k.peters@vgroup.one
Authors Information
Peters K.I. – deputy general director for Prospective development of Blasting drilling and Blasting technologies, “Vzryv group” llC, Kemerovo, 650000, russian federation, e-mail: k.peters@vgroup.one
Shcherbakova L.N. – doctor of Economic Sciences, Professor of the department of Economic theory and Public administration of Kemerovo State university, Kemerovo, 650000, russian federation, e-mail: ludmilashc@yandex.ru
Fedulova E.A. – doctor of Economic Sciences, head of the department of Economic theory and Public administration of Kemerovo State university, Kemerovo, 650000, russian federation, e-mail: fedulovaea@mail.ru
Kuznetsov A.D. – director of the Center for geodesy, aerial Survey and Cadastral Works of Kemerovo State university, Kemerovo, 650000, russian federation, e-mail: adkuz@inbox.ru
Burmin L.N. – Phd (Engineering), associate Professor of the department of digital technologies of Institute of digit of Kemerovo State university, Kemerovo, 650000, russian federation, e-mail: lnburmin@mail.ru.
Abstract
The article identifies a number of factors that determine the trajectory of the coal industry in modern conditions, substantiates the relevance of the digital transformation of the coal industry as a factor in optimizing the production process. In the as part course of the study, a number of critical aspects of coal mining operations were identified both in terms of the use of UAVs and in cases not related to this method of obtaining data. Based on potential ways to improve the speed and convenience of interaction between specialists, a business process scheme has been developed to obtain a mining plan for a coal enterprise, which involves solving the problem of communication complexity between different participants in the process for prompt decision-making and optimization of production. This scheme has been tested in the real conditions of a coal enterprise. As an additional example of the use of digital results in the mining industry, the practice of using a digital model of a deposit as a tool for evaluating the parameters of the collapse of an exploded rock mass after an explosion is considered. Using the example of geospatial materials obtained from aerial photography and aerial laser scanning of the drilling and blasting site at a coal enterprise, the capabilities of the developed software are demonstrated.
Keywords
Coal mining industry, Kemerovo Region – Kuzbass, activities of coal enterprises, digital transformations, three-dimensional modeling, aerial laser scanning, aerial photography.
References
1. Мешков Г.Б., Петренко И.Е., Губанов Д.А. Итоги работы угольной промышленности России за 2023 год // Уголь. 2024. № 9. С. 18-29. dOI: 10.18796/0041-5790-2023-3-18-29. Meshkov G.B., Petrenko I.E., Gubanov D.A. Russia’s coal industry performance for 2023. Ugol’. 2024;(3):18-29. (In russ.). DOI: 10.18796/00415790-2024-3-18-29.
2. Разрезанный Кузбасс: что и сколько осталось российскому углю. url: https://dzen.ru/a/ZfVl4fcxVzuSaqSE (датаобращения: 15.09.2024). Cut Kuzbass: what and how much is left for russian coal. available at: https://dzen.ru/a/ZfVl4fcxVzuSaqSE (accessed 15.09.2024). (In russ.).
3. Щербакова Л.Н., Евдокимова Е.К., Федулова Е.А. Возможности «незеленой» декарбонизации в энергетических отраслях // Уголь. 2023. № 4. С. 79-83. dOI: 10.18796/0041-5790-2023-4-79-83. Shcherbakova l.N., Evdokimova E.K., Fedulova E.A. Possibilities for “nongreen” decarbonisation in the energy sectors. Ugol’. 2023; (4): 79-83. (In russ.). DOI: 10.18796/0041-5790-2023-4-79-83.
4. Lebot B., Weiland M. Policies and Programs Critical for greater Energy Efficiency. Economic policy. 2020;15(2):148-167. 5. Cornelis M. Energy Efficiency, the Overlooked Climate Emergency Solution. Economic policy. 2020;15(2):48-68. https://doi.org/10.18288/1994-5124-2020-2-48-67.
6. Storey K., halseth G., Murphy l., Markey S. Digitalization and changing value propositions for mining regions: Options for action. Resources Policy. 2024;(91):104861. dOI: 10.1016/j.resourpol.2024.104861.
7. Barnewold l., Lottermoser B.G. Identification of digital technologies and digitalisation trends in the mining industry. International Journal of Mining Science and Technology. 2020;30(6):747-757. DOI: 10.1016/j.ijmst.2020.07.003.
8. Storey K. from fIfO to lIlO: the place effects of digitalization in the mining sector. The Extractive Industries and Society. 2023;(13):101206. dOI: 10.1016/j.exis.2022.101206.
9. Chien l.V., Thang N.D., Trung Ph.K., Nga N. The Impact of digital leadership on Organizational Performance: a Study in Vietnam’s coal Mining Companies. In?ynieria Mineralna. Journal of the Polish Mineral Engineering Society. 2023;(1). DOI: 10.29227/IM-2023-02-20.
10. Onifade M., Adebisi J.A., Shivute A.P., Genc B. Challenges and applications of digital technology in the mineral industry. Resources Policy. 2023;85(B):103978. DOI: 10.1016/j.resourpol.2023.103978.
11. Chen Y., Wang Yu., Zhao Ch. From riches to digitalization: the role of aMC in overcoming challenges of digital transformation in resource-rich regions. Technological Forecasting and Social Change. 2024;(200):123153. dOI: 10.1016/j.techfore.2023.12315.
12. Hazrathosseini A., Afrapoli A.M. The advent of digital twins in surface mining: Its time has finally arrived. Resources Policy. 2023;(80):103155. DOI: 10.1016/j.resourpol.2022.103155.
13. Астафьева Т. Цифровизация и искусственный интеллект – повышение эффективности и безопасности. [Электронный ресурс] // Деловой журнал недропользователя «Глобус». 2021. url: https://www.vnedra.ru/tehnologii/informacionnyetekhnologii/czifrovizacziya-i-iskusstvennyj-intellekt-povyshenieeffektivnosti-i-bezopasnosti-13683/ (дата обращения: 15.09.2024). astafyevat. digitalization and artificialintelligence – improvingefficiencyandsecurity. [Electronic resource]. Delovoj zhurnal nedropol'zovatelya «Globus». 2021. available at: https://www.vnedra.ru/tehnologii/informacionnye-tekhnologii/czifrovizacziya-iiskusstvennyj-intellekt-povyshenie-effektivnosti-i-bezopasnosti-13683/ (accessed 15.09.2024). (In russ.).
14. Восточная горнорудная компания: создать единое геоинформационное пространство. [Электронный ресурс] // Деловой журнал недропользователя «Глобус». 2020. url: https:// www.vnedra.ru/glavnaya-tema/vostochnaya-gornorudnayakompaniya-sozdat-edinoe-geoinformaczionnoe-prostranstvo-10047/ (датаобращения: 15.09.2024). the Eastern Mining Company: to create a single geographic information space. [Electronic resource]. Delovoj zhurnal nedropol'zovatelya «Globus». 2020. available at: https://www.vnedra.ru/glavnayatema/vostochnaya-gornorudnaya-kompaniya-sozdat-edinoegeoinformaczionnoe-prostranstvo-10047/ (accessed 15.09.2024). (In russ.).
15. Юшкин В.Ф. Методы трехмерного моделирования породных массивов при исследованиях геомеханических свойств и ведении горных работ. [Электронныйресурс] // ИнтерэкспоГео-Сибирь. 2015. № 3. url: https://cyberleninka.ru/article/n/ metody-trehmernogo-modelirovaniya-porodnyh-massivov-priissledovaniyah-geomehanicheskih-svoystv-i-vedenii-gornyhrabot (датаобращения: 15.09.2024).Yyushkin V.F. Methods of three-dimensional modeling of rock massifs in the study of geomechanical properties and mining operations. [Electronic resource]. Interekspo Geo-Sibir. 2015;(3). available at: https://cyberleninka.ru/article/n/metody-trehmernogo-modelirovaniya-porodnyh-massivov-pri-issledovaniyahgeomehanicheskih-svoystv-i-vedenii-gornyh-rabot (accessed 15.09.2024). (In russ.).
16. Марченко Е.Г., Богаченко А.И. АО «Салек»: опыт планирования горных работ с применением 3d-моделирования // Уголь. 2018. № 8. С. 47-49. dOI: 10.18796/0041-5790-2018-8-47-49. Marchenko E.G., Bogachenko A.I. “Salek”, JSC: 3d simulation in mining planning. Ugol’. 2018;(8):47-49. (In russ.). DOI: 10.18796/0041-57902018-8-47-49.
17. Kong D., Saroglou C., Wu F., Sha P., Li B. Development and application of uaVSfM photogrammetry for quantitative characterization of rock mass discontinuities. International Journal of Rock Mechanics and Mining Sciences. 2021;(141):104729. DOI: 10.1016/j. ijrmms.2021.104729.
18. Buyer A., Aichinger S., Schubert W. Applying photogrammetry and semi-automated joint mapping for rock mass characterization. Engineering Geology. 2020;(264):105332. dOI: 10.1016/j. enggeo.2019.105332.
19. Moomivand H., Seadati S., Allahverdizadeh H. A new approach to improve the assessment of rock mass discontinuity spacing using image analysis technique. International Journal of Rock Mechanics and Mining Sciences. 2021;(143):104760. DOI: 10.1016/j. ijrmms.2021.104760.
20. Singh B.K., Mondal D., Shahid M., Saxena A., roy P.N.S. application of digital image analysis for monitoring the behavior of factors that control the rock fragmentation in opencast bench blasting: a case study conducted over four opencast coal mines of the talcher Coalfields, India. Journal of Sustainable Mining. 2019;18(4):247-256. DOI: 10.1016/j.jsm.2019.08.003.
21. Kong D., Wu F., Saroglou C. Automatic identification and characterization of discontinuities in rock masses from 3d point clouds. Engineering Geology. 2020;(265):105442. DOI: 10.1016/j. enggeo.2019.105442.
22. Adjiski V., Panov Z., Popovski R., Stefanovska R. Application of photogrammetry for determination of volumetric joint count as a measure for improved rock quality designation (rQd) index. Sustainable Extraction and Processing of Raw Materials Journal (SEPRM). 2021;2(1):12-20. DOI: 10.5281/zenodo.5594940.
23. Moomivand h., Seadati S., Allahverdizadeh H. A new approach to improve the assessment of rock mass discontinuity spacing using image analysis technique. International Journal of Rock Mechanics and Mining Sciences. 2021;(143):104760. DOI: 10.1016/j. ijrmms.2021.104760.
Acknowledgements
The research was carried out with the financial support of the Ministry of Science and higher Education of the russian federation within the framework of the agreement on the provision of grants from the federal budget in the form of subsidies dated September 30, 2022 No. 075-15-2022-1195 and within the framework of the comprehensive scientific and technical program of the full innovation cycle “development and implementation of a complex of technologies in the fields of exploration and extraction of solid minerals, industrial safety, bioremediation, creation of new products of deep processing from coal raw materials with a consistent reduction of the environmental burden on the environment and risks to the life of the population” (approved by decree of the government of the russian federation dated May 11, 2022 No. 1144-r).
For citation
Peters K.I., Shcherbakova l.N., fedulova E.a., Kuznetsov a.d., Burmin l.N. the practice of using 3d models in the mining industry on the example of coal enterprises in the Kemerovo region – Kuzbass. ugol’. 2024;(10):110-117. (In russ.). DOI: 10.18796/00415790-2024-10-110-117.
Paper info
Received August 26, 2024
Reviewed September 16, 2024
Accepted September 26, 2024