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Information × Registration Number 0224U001315, 0121U111709 , R & D reports Title Task implementation of the prospective "Technical Sciences" Development Plan popup.stage_title Head Kalinichenko Vsevolod O., Sinchuk Oleg M, д.т.н. Registration Date 21-01-2024 Organization Kryvyi Rih National University popup.description2 The authors obtained scientific results, which consist in determining the regularities and establishing the dependences of changes in the stress-strain state of the mountain massif during the mining of rich iron ores at depths of 1500m - 2500m. On the basis of the conducted research, the authors of the project scientifically substantiated, developed and built geomechanical models of underground mining of rich iron ores at depths of up to 2,500 m. Based on them, innovative technologies of underground mining of iron ores at depths of up to 1,500-2,500 m, which have no analogues, were developed in world practice. During the execution of the stage, the environmental safety of the further extraction of iron ores using traditional development systems was substantiated and the latest technologies for the extraction of iron ores at depths of up to 2500 m with the possibility of utilization of rocks from the penetration of workings in the developed space of the mines were proposed, which allows, additionally, to reduce the cost of extracting ores from ultra-deep horizons. The object of research is the level of electrical loads of industrial installations of enterprises in the mining and metallurgical industry. Based on the results of implementation, a number of problems related to energy efficiency, reliability and continuity of the energy supply process at enterprises of the mining and metallurgical industry, including under martial law, are solved. The use of artificial intelligence to solve the set goal will allow to develop an innovative electric power system with distributed generation, which will be efficient and reliable in comparison with traditional power management systems. The integration of an intelligent electric power system with virtual electric networks will allow optimizing the use of various energy sources and regulating their contribution to the energy supply system in real time. Product Description popup.authors Hryshchenko Mykhailo Anatoliyovych Kalinichenko Vsevolod Oleksandrovich Kalinichenko Olena Vsevolodivna Mykhailenko Oleksii Yu Peresunko Igor Igorovych Pysmennyi Serhii V Sinchuk Oleg M Sinchuk Ihor O. Stupnik Mykola Ivanovich Fedko Mychaylo B. Shepel Oleksandr L popup.nrat_date 2024-01-21 Close