The purpose of this study is to analyze the main factors of socialization that affect a person at the stage of admission to a higher education institution. The study is based on a 2020 survey of students of St. Petersburg Mining University. The paper analyzes such factors as family influence, academic performance, changes in the circle of friends, and new conditions. As a result, each of the studied factors was characterized, as well as the phenomenon of value conflict and the possibility to consider high academic performance at university as an indicator of successful socialization were noted.

The article covers the issues of increasing the efficiency of tunneling&cleaning combines “Ural”, widely applied at domestic potash mines. It is pointed out that it is possible to provide rational parameters of the process of destroying potash arrays with cutting tools of the executive bodies of mining combines. This assumption is based on the assessment of the drivers load which will reduce the specific energy consumption for ore extraction and will reduce the number of small unenriched classes in breakage products. The authors substantiate rational regime parameters of the operation of the planetary-disk executive bodies in the Ural combines. A method for automatic control of the tunnel&cleaning combine “Ural” is proposed, which ensures the implementation of the process of destruction of the potash massif with rational cutting parameters on the basis of information on the drivers load.

Digital technology is being introduced into all areas of human activity. However, there are a number of challenges in implementing these technologies. These include the delayed return on investment, the lack of visibility for decision-makers and, most importantly, the lack of human capacity to develop and implement digital technologies. Therefore, creating a digital training simulator for the industry is an actual task. This paper focuses on the first step in creating a digital training simulator for the industry: developing a dynamic process model. The process chosen is flotation, as it is one of the most common mineral processing methods. The simulation was performed in AVEVA Dynamic Simulation software. The model is based on a determination of reaction rate constants, for which, experiments were conducted on a laboratory pneumomechanical flotation machine with a bottom drive. The resulting model was scaled up to industrial size and its dynamic properties were investigated. In addition, the basic scheme of a computer simulator was considered, and the testing of the communication channels of a dynamic model with systems, equipment and software for digitalizing was conducted. The developed model showed acceptable results for its intended purpose, namely, an exact match to the technological process in terms of time. This helps to account for inertia and a fast response on all tested communication channels, as well as being acceptable for the real-time simulation speed of the solver.