National University of Science and Technology MISIS, Moscow, Russia

O. M. Zinovieva, Cand. Eng., Associate Prof., Dept. of Technosphere Safety, e-mail: ozinovieva@yandex.ru
A. M. Merkulova, Cand. Eng., Associate Prof., Dept. of Technosphere Safety, e-mail: anna-merkulova@yandex.ru
N. A. Smirnova, Cand. Eng., Associate Prof., Dept. of Technosphere Safety, e-mail: natalyaas@bk.ru
D. A. Chadin, Student, Dept. of Technosphere Safety, e-mail: chadindmitriy08072000@mail.ru

The article considers the main risks associated with the automation of the technological process at metallurgical enterprises. Currently, large Russian metallurgical companies are developing and implementing digital technologies that affect the security level of the entire enterprise. The factors hindering digital transformation in the metallurgical industry are given. In metallurgy, automation of technological processes is widely used for operational control and management. By increasing the efficiency and safety of production processes, minimizing losses and optimizing the use of resources, reducing decision-making time and reducing maintenance costs, automation introduces new elements of risk, ranging from technical failures to psychological effects on personnel. Therefore, it is necessary to apply appropriate management methods based on the analysis of probable accident scenarios, identification of possible negative consequences and the experience of past incidents. The main risks associated with the automation of the technological process and the actions that are important to provide for their minimization are presented. An example of accounting for such risks at the steel smelting site of an electric steelmaking workshop in the general risk assessment system of the enterprise is given. Promising areas of research in the field of automation of technological processes are shown, which make it possible to more accurately predict the state of industrial safety, optimize the use of resources and reduce the cost of ensuring safety. An important aspect is the development and regular updating of regulatory legal acts regulating the safe operation of automated systems. The development and implementation of automated systems should be considered by metallurgical enterprises as a new level of opportunities that allows them to succeed in increasing productivity and economic efficiency, and maintaining safety. This requires the company’s management to take a competent approach to risk management, conduct comprehensive research, strategic planning and personnel adaptation.

1. Romanova O. A., Sirotin D. V. Digitalization of production processes in metallurgy: trends and measurement methods. Izvestiya UGTU. 2021. Iss. 3 (63). pp. 136–148. DOI: 10.21440/2307-2091-2021-3-136-148
2. Trofimov V. B. Functional structure of intelligent control over complex mining-and-metallurgical facilities: Analytical review. MIAB. Mining Inf. Anal. Bull. 2022. Vol. 2. pp. 150-168. DOI: 10.25018/0236_1493_2022_2_0_150
3. Ivanov I. N., Belyaev A. M., Belyaev E. D. Trends in digitalization of production processes in metallurgy. Stal. 2020. No. 7. pp. 72–75.
4. Natrusov N., Sadardinov I., Emelchenkov S. Digitalization of the mining and metallurgical industry of Russia in 2024. Long-term optimism and high goals. “Yakov i Partnery”, GK “Tsifra“, 2024. Available at: https://www.yp.partners/upload/iblock/67c/cjwhz656wjsfn0up1ze-8ka8qg7uxppm8/20240423_Digital_mining.pdf (accessed: 23.07.2024).
5. Nikanorov V. V., Omelyantsev M. A., Marchenko S. G. et al. Application of artificial intelligence methods to improve the efficiency of dispatch control and management of the gas transportation system. Gazovaya promyshlennost. 2021. No. S2 (818). pp. 120–126.
6. Lola I. S., Bakeev M. B. Digital transformation in the manufacturing industries of Russia: results of market surveys. Vestnik Sankt-Peterburgskogo universiteta. Ekonomika. 2019. Vol. 35. Iss. 4. pp. 628–657. DOI: 10.21638/spbu05.2019.407
7. Balashov A. M. Implementation of modern digital technologies in mining enterprises. Gornaya promyshlennost. 2022. No. 6. pp. 83–86. DOI: 10.30686/1609-9192-2022-6-83-86
8. Vavenkov М. V. VR/AR technologies and staff training for mining industry. Mining Science and Technology (Russia). 2022. Vol. 7, No. 2. pp. 180-187. DOI: 10.17073/2500-0632-2022-2-180-187
9. Abashkin V. L., Abdrakhmanova G. I., Vishnevsky K. O., Gokhberg L. M. et al. Digital economy: 2024: brief statistical digest. Moscow : ISIEZ VShE, 2024. 124 p.

10. Gertsog V. H. Automation of technological processes and measuring technologies - the basis of the efficiency of modern production. Gazovaya promyshlennost. 2021. No. S2 (818). pp. 6–7.
11. Pivikov A. Application of automation tools for production safety management. Sistemy Bezopasnosti. 2023. No. 3. pp. 24–27.
12. Annual report on the activities of the Federal Service for Environmental, Technological and Nuclear Supervision in 2022. Moscow, 2023. 380 p.
13. Klimecka-Tatar D., Ulewicz R., Ingaldi M. Minimizing occupational risk by automation of the special processes – based on occupational risk assessment. 4^th International Conference on Industry 4.0 and Smart Manufacturing. Procedia Computer Science. 2023. Vol. 217, Iss. 2. pp. 1145–1152. DOI: 10.1016/j.procs.2022.12.313
14. Onnasch L., Hoesterey S., Fahrner V. To (Dis)agree with automation: effects of automation levels on trust attitude and trust behavior in high-risk situations. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 2023. Vol. 67, Iss. 1. DOI: 10.1177/21695067231192910
15. Kulikova E. Yu., Balovtsev S. V. Risk control system for the construction of urban underground structures. IOP Conference Series: Materials Science and Engineering. 2020. Vol. 962, Iss. 4. 042020. DOI: 10.1088/1757-899X/962/4/042020
16. Piskunov A. I. Challenges, threats and expectations of digitalization for industrial enterprises. Organizator proizvodstva. 2019. Vol. 27. No. 2. pp. 7–15. DOI: 10.25987/VSTU.2019.33.81.001
17. Goncharenko S. N., Yakheev V. V. Computer modeling of corporate information security of geoinformation technologies at industrial facilities. MIAB. Mining Inf. Anal. Bull. 2022. Vol. 2. pp. 81-96. DOI: 10.25018/0236_1493_2022_2_0_81
18. Yamashita T., Narine D., Chidebe R. C. W., Kramer J. et al. Digital skills, STEM occupation, and job automation risks among the older workers in the united states. The Gerontologist. 2024. Vol. 64, Iss. 8. gnae 069. DOI: 10.1093/geront/gnae069
19. Subbotina T. N., Vasin T. M. Risks of digitalization for Russian entrepreneurship. Modern Economy Success. 2023. No. 3. pp. 312–316.
20. Smirniakov V. V., Kargopolova A. P., Smirniakova V. V., Kabanov E. I. et al. Risk-oriented approach as a tool for the training quality increasing and employees development of JSC ''Suek-Kuzbass''. MIAB. Mining Inf. Anal. Bull. 2022. Vol. (6-1). pp. 214—229. DOI: 10.25018/0236_1493_2022_61_0_214
21. Zaykovsky V. E., Karev A. V. Automation of the risk management process is an important step towards digitalization of management decision-making. Problemy analiza riska (scientific and practical journal). 2021. Vol. 18. No. 2. pp. 52–59.