Bibliography: 1. Lukichev S. V., Nagovitsin O. V. Digital transformation of mining industry: Past, Present and Future. Gornyi Zhurnal. 2020, no. 9, pp. 13—18. [In Russ]. DOI: 10.17580/gzh.2020.09.01.
2. Vladimirov D. Ya., Klebanov A. F., Kuznetsov I. V. Digital transformation of open-pit mining and a new generation of quarry equipment. Russian Mining Industry. 2020, no. 6, pp. 10—12. [In Russ].
3. Klebanov A. F. Automation and robotization of open-pit mining: the experience of digital transformation. Russian Mining Industry. 2020, no. 1, pp. 8—11. [In Russ].
4. Sychev A. E., Zaytseva E. V., Tolkachyov P. S. Economic digitalization: contradictions and prospects. Socio-economic Systems: Paradigms for the Future. Studies in Systems, Decision and Control. 2021, vol. 314, pp. 353–359. DOI: 10.1007/978-3-030-56433-9_37.
5. Nagovitsyn O. V., Voznyak M. G. Robotic mine management. MIAB. Mining Inf. Anal. Bull. 2021, no. 5(1), pp. 326—335. [In Russ]. DOI: 10.25018/0236_1493_2021_51_0_326.
6. Paredes D., Fleming-Muñoz D. Automation and robotics in mining: Jobs, income and inequality implications. Extractive Industries and Society. 2021, vol. 8, no. 1, pp. 189—193. DOI: 10.1016/j.exis.2021.01.004.
7. Temkin I., Myaskov A., Deryabin S., Konov I., Ivannikov A. Design of a digital 3D model of transport–technological environment of open-pit mines based on the common use of telemetric and geospatial information. Sensors. 2021, vol. 21, no. 18, article 6277. DOI: 10.3390/ s21186277.
8. Temkin I. O., Klebanov D. A., Deryabin S. A., Konov I. S. Construction of intelligent geoinformation system for a mine using forecasting analytics techniques. MIAB. Mining Inf. Anal. Bull. 2020, no. 3, pp. 114–125. [In Russ]. DOI: 10.25018/0236-1493-2020-3-0-114-125.
9. Liua C., Su Z., Xu X., Lu Y. Service-oriented industrial internet of things gateway for cloud manufacturing. Robotics and Computer-Integrated Manufacturing. 2022, vol. 73, article 102217. DOI: 10.1016/j.rcim.2021.102217.
10. Resende C., Folgado D., Oliveira J., Franco B., Moreira W., Oliveira A. C. Junior, Cavaleiro A., Carvalho R. TIP4.0: Industrial internet of things platform for predictive maintenance. Sensors. 2021, vol. 21, no. 14, article 4676. DOI: 10.3390/s21144676.
11. Sahal R., Breslin J. G., Ali M. I. Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case. Journal of Manufacturing Systems. 2020, vol. 54, pp. 138—151. DOI: 10.1016/j.jmsy.2019.11.004.
12. Kozma D., Varga P., Larrinaga F. Dynamic multilevel workflow management concept for industrial IoT systems. IEEE Transactions on Automation Science and Engineering. 2021, vol. 18, no. 3, pp. 1354—1366. DOI: 10.1109/TASE.2020.3004313.
13. Martínez P. L., Dintén R., Drake J. M., Zorrilla M. A big data-centric architecture metamodel for Industry 4.0. Future Generation Computer Systems. 2021, vol. 125, pp. 263—284. DOI: 10.1016/j.future.2021.06.020.
14. Goncharenko S. N., Korostelev D. B. Methods and models for integrated estimation of system connection between the nature protection policy efficiency and managerial solutions in the field of use of natural resources. MIAB. Mining Inf. Anal. Bull. 2018, no. 11, pp. 70–76. [In Russ]. DOI: 10.25018/0236-1493-2018-11-0-70-76.
15. Khairutdinov A., Ubysz A., Adigamov A. The concept of geotechnology with a backfill is the path of integrated development of the subsoil. IOP Conference Series: Earth and Environmental Science. 2021, vol. 684, article 012007. DOI:10.1088/1755-1315/684/1/01200.
16. Kongar-Syuryun Ch., Ubysz A., Faradzhov V. Models and algorithms of choice of development technology of deposits when selecting the composition of the backfilling mixture. IOP Conference Series: Earth and Environmental Science. 2021, vol. 684, article 012008. DOI: 10.1088/1755-1315/684/1/012008.