The extraction of oceanic ores will make it possible to extract a complex of strategic metals: manganese, nickel, copper, cobalt, molybdenum, zinc. The following materials are considered as cost-effective mineral raw in the ocean: manganese nodules – MN (Mn, Ni, Cu, Co), cobalt-rich manganese crusts – CMC (Co, Mn, Ni), deep-sea polymetallic sulfides – DPS (Cu, Zn, Au, Ag). As an example, the Indian concept of deepwater development is described, which proposes to use the pipeline as a transport of minerals from the bottom. The calculation of the pipeline transportation system with the indication of shortcomings is given. As an alternative, it is proposed to use a lift of a self-propelled device for minerals on a cable made of special material. The article presents a device for deep-sea mining of MN with pressure drop chambers. The method of application of this device for collecting CMC is replacing the pressure drop chambers with the clamshell type device. The grab must be made of strong and at the same time light material and can be equipped with a hydraulic hammer for preliminary destruction. Elements of the shock system of the hydraulic hammer must also be adapted to the conditions of deep-sea mining by using special metal alloys for manufacturing. The destroyed mass is temporarily stored in a hopper mounted on a collector, which can be made of nylon mesh stretched between plates of titanium alloys. The calculation of the performance of the device for deep-sea mining from is presented.

Any technological process including metallurgical processes is supported by the control system operation, accompanied by large information flows to be formed. However, the most part of this information is not used by specialists due to restricted capabilities of a human being that is, in fact, incapable of processing such information flows. It has been demonstrated that process control is significantly influenced by the human factor. This paper contains a methodology to process production information that permits the process personnel to use its potential in a more rational way to control the process. An approach has been reviewed to studying metallurgical processes using the analysis of indirect indicators of process management, namely the spectral density and auto-correlation function of main process parameters. A method to separate useful signals from noise has been studied. A method has been given to check the ACS management efficiency using primary material flows. The adopted methodology for processing experimental data permits interpreting the obtained results for their further practical application to develop new algorithms for process control and improve the existing control system.

In the era of digital technology, more and more of it finds application in various industries. This paper proposes to use technology of augmented reality for maintenance of stirred tank reactors. The proposed approach can be applied to any type of equipment, as it can be easily integrated with the existing automation systems and does not require much investment at the initial stage, implying gradual optimization and functionality build-up. This paper describes the basic set of functional requirements of an augmented reality-based maintenance system, methods of assessing the system performance, as well as scaling-up and streamlining prospects. The paper also describes how such systems can be integrated with existing control systems of a production company. The effectiveness of the developed augmented reality-based system was verified by determining the average execution time of each service stage and processing the outcomes using the Mann-Whitney U test. The use of the augmented reality system resulted in the reduction of the average service time by 2.3 times, while the maintenance efficiency increased by 5%.