Aim of this paper is to explore the development of mining operations in deep quarries utilizing automobile and combined transport systems to overcome these challenges. The use of automobiles in mining has been a growing trend, offering flexibility, maneuverability, and increased productivity. In deep quarries, traditional automobile transport faces limitations in terms of reach and efficiency, combined transport systems incorporating a combination of automobiles, conveyor belts, and other transport mechanisms have been proposed. This paper discusses the advantages of automobile transport in deep quarries, including its ability to navigate narrow passages and transport smaller loads efficiently. It examines the integration of combined transport systems, which leverage the strengths of automobiles alongside other modes of transportation to optimize mining operations. Key considerations in the development of these systems include infrastructure design, vehicle specifications, safety protocols, and environmental impact. By implementing innovative solutions tailored to the specific challenges of deep quarry mining, such as automated vehicle control and monitoring systems, it is possible to enhance efficiency, reduce operational costs, and improve safety standards. Also, this paper highlights case studies and examples of successful implementations of automobile and combined transport systems in deep quarries around the world. These real-world examples demonstrate the feasibility and benefits of adopting such approaches in challenging mining environments. In the paper criteria requirements and recommendations for the implementation of this process are presented in the technological processes of compaction using separators, which are carried out during the construction of highways, and the interdependence of indicators is presented through tables, graphs and calculation expressions.
Development of mining operations in deep quarries using automobile and combined transport
2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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