Empress Catherine II Saint-Petersburg Mining University, Saint-Petersburg, Russia

D. N. Nevzorov, Post-Graduate Student, danilnevzorov@bk.ru
I. S. Trufanova, Candidate of Engineering Sciences, Associate Professor

This article explores modern design methods for flexible self-propelled haulage systems based on conveyor trains used in the mining industry. The relevance of this work stems from the need to improve the efficiency of transport support for deep quarries and mines with variable route profiles, significant elevation changes and dynamic traction loading. This article focuses on developing a methodology for determining the number of drive stations and distributing drive power, taking into account dynamic loads and challenging operating conditions. An analytical method for calculating the number of drive stations is proposed based on two key criteria: the braking condition, which ensures the loaded train stops on a slope, and the traction condition, which characterizes the system ability to overcome the total resistance to movement during startup. Mathematical modeling is used to find relationships between the route parameters, including slope angle, sectionlength, and curvature, and the required number of drive stations. It is shown that adaptive distribution of drive stations along the route with load regulation optimizes energy consumption and improves overall system reliability through traction redundancy. The article analyzes the influence of the developed methodology on changes in the adhesion coefficient between the drive wheel of the drive station and the side plate of the conveyor train bogie in underground mining conditions. It is found that deterioration of adhesion requires adjusting the number of drive stations to prevent slippage. The main conclusion of the study is that, for the operating conditions under consideration, a rational value for the electric motor power of a single drive station is 90 kW. The research results are illustrated using a specific section of a mine, justifying the choice of drive layout and drive type, and a flowchart is presented showing the sequence for calculating the number of drive stations according to the developed methodology.

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