Study of the harmful factors influence on the occupational risk level: the example of the Ukrainian mining industry

• Autorzy: Kruzhilko O. , Maystrenko V. , Tkalych I. , Polukarov Y. , Kalinchyk V. P. , Neklonskyi I. , Ryzhchenko O.

Identyfikatory

DOI

10.5604/01.3001.0015.7029

• Języki publikacji: EN

Abstrakty

EN

Purpose: The choice of preventive measures and labour protection equipment should be justified taking into account the occupational risk. For objective reasons, existing approaches do not provide an opportunity to justify the choice of the necessary measures, which best reduce the occupational risk level. Consequently, an effective methodological approach to justify preventive measures is required, since the level of risk in mining enterprises is still high, especially in developing countries and countries with weak economies. The current research is devoted to solving this urgent scientific problem. Design/methodology/approach: Construction of mathematical models based on accumulated statistical data on the values of production factors using polynomial regression, which is justified by the simplicity of computational algorithms and the clarity of the results obtained. Findings: On the example of the Ukrainian mining industry, it was found that to reduce occupational risk; the most effective is to change the operating mode of the equipment and rational planning of working hours, but not measures to reduce the dust concentration. Research limitations/implications: The study is focused on the mining industry; a methodological approach and a mathematical model are proposed for specific working conditions at Ukrainian mining industry. Practical implications: The proposed approach makes it possible, based on statistical data, to quickly and reliably select the most effective measures to reduce the industrial risk level. Originality/value: A feature of the proposed approach to reducing industrial risk is a comprehensive accounting of data on factors affecting occupational risk, the construction of mathematical models and the use of modelling results when planning measures to improve working conditions.

Słowa kluczowe

EN

mining industry; occupational risk; statistical data; harmful factors; dust

PL

przemysł górniczy; ryzyko zawodowe; dane statystyczne; czynniki szkodliwe; zapylenie

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2022
• Tom: Vol. 110, nr 1
• Strony: 35--41
• Opis fizyczny: Bibliogr. 22 poz., tab., wykr.

Twórcy

autor

Kruzhilko O.

• Technical University «Metinvest polytechnic», LLC, 87524, str. Sechenova, 71-A, Donetsk region, Mariupol, Ukraine

• https://orcid.org/0000-0001-8624-1515

autor

Maystrenko V.

• Technical University «Metinvest polytechnic», LLC, 87524, str. Sechenova, 71-A, Donetsk region, Mariupol, Ukraine

• https://orcid.org/0000-0001-9827-0460

autor

Tkalych I.

• Public Agency "National Scientific and Research Institute of Industrial Safety and Occupational Safety and Health", 04060, Vavilovykh str.,13, Kyiv, Ukraine

autor

Polukarov Y.

• National Technical University of Ukraine "Igor Sikorsky Kiev Polytechnic Institute", 03056, Prosp. Peremohy, 37, Kyiv, Ukraine

autor

Kalinchyk V. P.

• National Technical University of Ukraine "Igor Sikorsky Kiev Polytechnic Institute", 03056, Prosp. Peremohy, 37, Kyiv, Ukraine

autor

Neklonskyi I.

• Department of Logistics and Technical Support of Rescue Operations, National University of Civil Defence of Ukraine, 61023, Chernyshevska str., 94, Kharkiv, Ukraine

autor

Ryzhchenko O.

• Department of Language Training, National University of Civil Defence of Ukraine, 61023, Chernyshevska str., 94, Kharkiv, Ukraine

• https://orcid.org/0000-0003-1693-6121

Bibliografia

• 1. T. Hristova, P. Hristov, Study of The Need for DLT in The Mining Industry, Proceedings of the 12th Electrical Engineering Faculty Conference “BulEF”, Varna, Bulgaria, 2020, 1-6. DOI: https://doi.org/10.1109/BulEF51036.2020.9326025
• 2. S. Vambol, V. Vambol, K.A.H. Al-Khalidy, Experi¬mental study of the effectiveness of water-air suspension to prevent an explosion, IOP Conference Series: Journal of Physics 1294/7 (2019) 072009. DOI: https://doi.org/10.1088/1742-6596/1294/7/072009
• 3. BBC News, Mourning day: 108 casualties and new evacuation (in Russian). Available online: http://newsvote.bbc.co.uk/hi/russian/russia/newsid_6473000/6473943.stm
• 4. S. Elegant, Where The Coal is Stained With Blood, Time Inc. Available online: https://web.archive.org/web/20070305132334/http://www.time.com/time/magazine/article/0,9171,1595235,00.html
• 5. O. Kruzhilko, O. Polukarov, S. Vambol, V. Vambol, N.A. Khan, V. Maystrenko, V.P. Kalinchyk, A.H. Khan, Control of the workplace environment by physical factors and SMART monitoring, Archives of Materials Science and Engineering 103/1 (2020) 18-29. DOI: https://doi.org/10.5604/01.3001.0014.1770
• 6. NORA Mining Sector Council (NMSC). Available online: https://www.cdc.gov/nora/councils/mining/default.html
• 7. Extraction of granite and natural stone in Ukraine (in Ukrainian). Available online: http://ukr.granite.ua/informatsiya/vydobutok-granitu/
• 8. A.A. Avahumian, N.M. Zashchepkina, Improving the method for determining the dust penetration of textile materials for the human protective equipment manufacture, Journal of Achievements in Materials and Manufacturing Engineering 102/2 (2020) 49-54. DOI: https://doi.org/10.5604/01.3001.0014.6774
• 9. D. Sokolov, V. Sobyna, S. Vambol, V. Vambol, Substantiation of the choice of the cutter material and method of its hardening, working under the action of friction and cyclic loading, Archives of Materials Science and Engineering 94/2 (2018) 49-54. DOI: https://doi.org/10.5604/01.3001.0012.8658
• 10. M. Asfar, P. Naveenkumar, V.N. Kumar, K. Krishnamurthy, Online vibration suppression in lathe machine, Journal of Achievements in Materials and Manufacturing Engineering 77/2 (2016) 69-74. DOI: https://doi.org/10.5604/17348412.1230100
• 11. S. Ragimov, V. Sobyna, S. Vambol, V. Vambol, A. Zakora, E. Strejekurov, V. Shalomov, Physical modelling of changes in the energy impact on a worker taking into account high-temperature radiation, Journal of Achievements in Materials and Manufacturing Engineering 91/1 (2018) 27-33. DOI: https://doi.org/10.5604/01.3001.0012.9654
• 12. R.I. Moraru, A.P. Păun, C.C. Dura, R. Dinulescu, A.-M. Potcovaru, Analysis of the drivers of occupational health and safety performance disclosures by romanian companies, Economic Computation and Economic Cybernetics Studies and Research 54/3 (2020) 197-214. DOI: https://doi.org/10.24818/18423264/54.3.20.12
• 13. O.I. Polukarov, N.A. Prakhovnik, Y.O. Polukarov, L.O. Mitiuk, H.V. Demchuk, Assessment of occupational risks: New approaches, improvement, and methodology, International Journal of Advanced and Applied Sciences 8/11 (2021) 79-86. DOI: https://doi.org/10.21833/ijaas.2021.11.011
• 14. V. Glyva, S. Podkopaev, L. Levchenko, N. Karaieva, K. Nikolaiev, O. Tykhenko, O. Khodakovskyy, B. Khalmuradov, Design and study of protective properties of electromagnetic screens based on iron ore dust, Eastern-European Journal of Enterprise Technologies 1/5(91) (2018) 10-17. DOI: https://doi.org/10.15587/1729-4061.2018.123622
• 15. S. Sukach, T. Kozlovskaya, I. Serhiienko, V. Glyva, O. Vovna, I. Laktionov, Research and formation of qualitative hydro air ion composition in agricultural premises, Bulgarian Journal of Agricultural Science 25/2 (2019) 256-263.
• 16. O. Kruzhilko, V. Maystrenko, O. Polukarov, V.P. Kalinchyk, A. Shulha, A. Vasyliev, D. Kondratov, Improvement of the approach to hazard identification and industrial risk management, taking into account the requirements of current legal and regulatory acts, Archives of Materials Science and Engineering 105/2 (2020) 65-79. DOI: https://doi.org/10.5604/01.3001.0014.5763
• 17. O. Kruzhilko, O. Bogdanova, The selection algorithm of methods and determination of the effectiveness of injuries risk assessment at the manufacturing, Transactions of Kremenchuk Mykhailo Ostrohradskyi National University 2(97)/1 (2016) 76-81 (in Ukrainian).
• 18. P. Sihag, M.R. Sadikhani, V. Vambol, S. Vambol, A.K. Prabhakar, N. Sharma, Comparative study for deriving stage-discharge-sediment concentration relationships using soft computing techniques, Journal of Achievements in Materials and Manufacturing Engineering 104/2 (2021) 57-76. DOI: https://doi.org/10.5604/01.3001.0014.8489
• 19. D. Bodana, N.M. Tiwari, S. Ranjan, U. Ghanekar, Estimation of the depth of penetration in a plunging hollow jet using artificial intelligence techniques, Archives of Materials Science and Engineering 103/2 (2020) 49-61. DOI: https://doi.org/10.5604/01.3001.0014.3354
• 20. S. Singh Nain, R. Sai, P. Sihag, S. Vambol, V. Vambol, Use of machine learning algorithm for the better prediction of SR peculiarities of WEDM of Nimonic-90 superalloy, Archives of Materials Science and Engineering 95/1 (2019) 12-19. DOI: https://doi.org/10.5604/01.3001.0013.1422
• 21. About the statement of the State sanitary norms and rules “Hygienic classification of work on indicators of harmfulness and danger of factors of the industrial environment, weight and intensity of labour process”, the order of the Ministry of Health of Ukraine from 08.04.2014 № 248, Official Gazette of Ukraine 41 (2014) 94 (in Ukrainian).
• 22. S.F. Kashtanov, Y.O. Polukarov, O.I. Polukarov, L.O. Mitiuk, N.F. Kachynska. Specifics of modern security requirements for software of electronic machine control systems, Incas Bulletin 13/special issue (2021) 87-97. DOI: https://doi.org/10.13111/2066-8201.2021.13.S.9

Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).