Digital Technologies Development as a Factor in Transforming the Socio-Economic Situation of the Mining Industry Workers in the Russian Federation

DOI: 10.33917/es-4.202.2025.78-85

The article analyzes socio-economic situation of workers in the mining industry (from 2019 to 2025) and identifies trends in transition from traditional to innovative tools in the personnel’s work activities. It was also discovered that introduction of artificial intelligence technologies helps to minimize the human factor and ensures maximum production ef ficiency.

The present article also examines transformation of the qualitative and quantitative characteristics of the mining industry representatives, their social consequences, in particular, the impact of mining work on psychophysical health.

The paper also studies development of a nonlinear algorithm with the help of ar tificial intelligence methods, including a neural network and cognitive modules, as a factor in transition from traditional to innovative tools in the work of mining personnel, having direct significance for humans.

References:

1. Zinov’eva O.M., Merkulova A.M., Smirnova N.A., Shcherbakova E.A. K voprosu upravleniya psikhosotsial’nymi riskami v gornom dele [Psychosocial Risk Management Issue in Mining]. Gornyy informatsionno-analiticheskiy byulleten’, 2022, no 1, pp. 20–33.

2. Timofeeva S.S., Boboev A.A., Drozdova I.V. Identifikatsiya opasnostey pri dobyche rudnogo zolota v Rossii i Uzbekistane [Hazards Identification in Gold Mining in Russia and Uzbekistan]. Journal of Advances in Engineering Technology, vol. 1(1), Sept. 2020, pp. 1–7.

3. Chebotarev A.G., Leskina L.M., Golovkova N.P. Usloviya truda i professional’nyy risk narusheniya zdorov’ya rabochikh rudnykh kar’erov [Working Conditions and Quarry Workers Occupational Health Risks]. Gornaya promyshlennost’, 2020, no 5, pp. 115–119.

4. Berezovskaya A.V., Fomin A.I. Faktory opasnosti zdorov’yu shakhterov i mery protivodeystviya etim riskam [Health Hazards to Miners and Measures to Counteract These Risks]. Mezhdunarodnyy nauchno-issledovatel’skiy zhurnal, 2023, no 5(131), pp. 1–8.

5. Zykova N.V. Silikoz [Silicosis]. Krasota i Meditsina, 2020, available at: https://www.krasotaimedicina.ru/diseases/zabolevanija_pulmonology/silicosis

6. Poletaeva A.V., Seryy A.V. Psikhologicheskie faktory perezhivaniya neschastnykh sluchaev na proizvodstve rabotnikami ugledobyvayushchikh predpriyatiy [Psychological Factors of Experiencing Industrial Accidents by Coal Mining Enterprises Workers]. Vestnik KRUNTs, 2011, no 2(18), pp. 143–152.

7. Tsymbal A.V. Issledovanie rasprostranennosti proyavleniy psikhologicheskoy dezadaptatsii u shakhterov, perezhivshikh vital’nuyu ugrozu v avariynoy situatsii [A study of the Psychological Maladjustment Manifestation Prevalence in Miners Who Survived a Vital Threat in an Emergency Situation]. Psikhologiya. Psikhofiziologiya, 2012, no 19, pp. 115–118.

8. Voznesenskiy N.K., Paramonova S.V., Sedinin A.L. Psikhovegetativnyy status podzemnykh gornorabochikh [Underground Miners Psychovegetative Status]. Meditsina truda i promyshlennaya ekologiya, 2019. № 9. S. 589.

9. Lisovoy F. II v gornodobyvayushchey promyshlennosti: kogda zhe nastupit budushchee? [AI in Mining: When Will the Future Come?]. Rough Polished, 2024, 26 avgusta, available at: https://rough-polished.expert/ru/analytics/138154.html

10. Kak iskusstvennyy intellekt pomogaet narashchivat’ proizvodstvo? [How Does Artificial Intelligence Help Increase Production?]. Tsifrovoy Nornikel’, 2025, available at: https://nornickel.digital/cifra_v_nornikele/kak_iskusstvennyjj_intellekt_pomogaet_narashhivat_proizvodstvo

11. Obuchenie na Kol’skoy GMK: sotrudniki spasutsya ot virtual’nykh parov khlora [Training at Kola MMC: Employees to be Saved from Virtual Chlorine Fumes]. Tsifrovoy Nornikel’, 2025, available at: https://nornickel.digital/cifra_v_nornikele/obuchenie_na_kolskojj_gmk_sotrudniki_spasutsya_ot_virtualnykh_parov_khlora

12. Glava ALROSA rasskazal o pervom v mire butoboe s iskusstvennym intellektom [ALROSA CEO Talks About World’s First Artificial Intelligence Boomer]. Ofitsial’nyy sayt ALROSA, 2024, 1 oktyabrya, available at: https://alrosa.ru/press-center/news/2024/glava-alrosa-rasskazal-o-pervom-v-mire-butoboe-siskusstvennym-intellektom/?ysclid=m2nd3nx273521585801

13. RUSAL sozdal departament promyshlennogo iskusstvennogo intellekta [RUSAL Creates Industrial Artificial Intelligence Department]. Ofitsial’nyy sayt RUSAL, 2024, 4 aprelya, available at: https://rusal.ru/press-center/press-releases/rusal-sozdal-departament-promyshlennogo-iskusstvennogo-intellekta-/

14. Mitrokhina A.S., Makarova E.A. Vrednye faktory liteynogo proizvodstva [Foundry Production Harmful Factors]. Sovremennye naukoemkie tekhnologii, 2014, no 5-2, pp. 103, available at: https://top-technologies.ru/ru/article/view?id=33995

15. Razvitie iskusstvennogo intellekta [Artificial Intelligence Development]. Ministerstvo ekonomicheskogo razvitiya RF, 2025, available at: https://www.economy.gov.ru/material/departments/d01/razvitie_iskusstvennogo_intellekta/

16. Delo gosudarstvennoe [A State Matter]. Tsentral’noe dispetcherskoe upravlenie toplivno-energeticheskogo kompleksa, 2020, 23 marta, available at: https://www.cdu.ru/tek_russia/issue/2020/1/708/

17. Ryl’nikova M.V., Klebanov D.A., Makeev M.A., Kadochnikov M.V. Primenenie iskusstvennogo intellekta i perspektivy razvitiya analiticheskikh system bol’shikh dannykh v gornoy promyshlennosti [Artificial Intelligence Application and Prospects for the Big Data Analytical Systems` Development in the Mining Industry]. Gornaya promyshlennost’, 2022, no 3, pp. 89–92, available at: https://mining-media.ru/ru/article/newtech/17430-primenenie-iskusstvennogo-intellektai-perspektivy-razvitiya-analiticheskikh-sistem-bolshikh-dannykh-v-gornoj-promyshlennosti

18. Danilovskiy K.N., Loginov G.N. Obrabotka dannykh bokovogo skaniruyushchego karotazha v protsesse bureniya s primeneniem svertochnykh neyronnykh setey [Lateral Scanning Logging Data Processing Using Convolutional Neural Networks While Drilling]. Geofizicheskie tekhnologii, 2021, no 2, pp. 24–35, available at: http://www.ipgg.sbras.ru/ru/science/publications/publ-obrabotka-dannykh-bokovogo-skaniruyuschego-karotazha-22435-2021

19. Eksperimenty s neyronnymi setyami na dannykh seysmorazvedki [Experiments with Neural Networks on Seismic Data]. Informatsionnyy IT-portal, 2020, 10 yanvarya, available at: https://habr.com/ru/companies/ods/articles/482780/

20. Izvestiya Saratovskogo universiteta. Novaya seriya. Seriya: Nauki o Zemle [Izvestiya of Saratov University. Earth Sciences]. 2024, vol. 24, vyp. 1, pp. 49–55.

21. Primenenie AI dlya razvedki poleznykh iskopaemykh [AI Application in Mineral Exploration]. Gorno-geologicheskaya informatsionnaya sistema Micromine, 2024, 15 aprelya, available at: https://www.micromine.kz/demystifying-ai-mineral-exploration/

22. Ispol’zovanie programm na osnove iskusstvennogo intellekta v geologii [Artificial Intelligence Programs` Use in Geology]. Ofitsial’nyy sayt kompanii “Promterra”, 2025, available at: https://www.prom-terra.ru/articles/ispolzovanie-programm-na-osnove-iskusstvennogo-intellekta-v-geologii.html

23. Zhang J., Liu Z., Zhang G., Yan B., Ni X., Xie T. Simultaneous prediction of multiple physical parameters using gated recurrent neural network: Porosity, water saturation, shale content. Frontiers in Earth Science, 2022, available at: https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2022.984589/full

24. Priezzhev I.I., Osipenko R.S., Borovkova E.E., Petrenko E.N. Primer ispol’zovaniya neyronnykh setey Kolmogorova pri prognozirovanii svoystv plasta pokurskoy svity v Zapadnoy Sibiri [An Example of Using Kolmogorov Neural Networks to Predict the Pokurskaya Suite Properties in Western Siberia]. Ofitsial’nyy sayt PAO “Gazprom neft’”, 2021, 27 dekabrya, available at: https://ntc.gazprom-neft.ru/scientific-publications/14312/

25. Gorchakova D.S., Kokoshina Z.A. Tekhnologii iskusstvennogo intellekta: sredstvo vliyaniya na massovoe soznanie lyudey v ramkakh novoy sotsial’noy real’nosti [Artificial Intelligence Technologies: Means of Influencing the Mass Consciousness of People within the Framework of a New Social Reality]. Ekonomicheskie strategii, 2024, no 4(196), pp. 46–53, DOI: https://doi.org/10.33917/es-4.196.2024.46-53

26. Neyroset’ sozdala profsoyuznyy proekt [Neural Network Created a Trade Union Project]. GMPR, 2024, 6 dekabrya, available at: https://www.gmpr74.ru/news/neyroset-sozdala-profsoyuznyy-proekt

27. Mokhnachuk I.I., Piktushanskaya T.E., Bryleva M.S., Betts K.V. Smertnost’ na rabochem meste na predpriyatiyakh ugol’noy promyshlennosti Rossii [Workplace Mortality in Russia Coal Industry]. Meditsina truda i promyshlennaya ekologiya, 2023, no 63(2), pp. 88–93.

28. Tsifrovizatsiya gornodobyvayushchey promyshlennosti v Rossii: tekushchee sostoyanie i perspektivy [Mining Industry Digitalization in Russia: Current Status and Prospects]. Mining World Russia, 2025, available at: https://miningworld.ru/ru/media/news/2023/november/3/cifrovizaciya-gornodobyvayushchej-otrasli/