Property-Based Identification and Separation of Rocks in the Drilling Process and Shipment | Научно-инновационный портал СФУ

Property-Based Identification and Separation of Rocks in the Drilling Process and Shipment

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Industrial Engineering, ICIE 2020

Год издания: 2021

Идентификатор DOI: 10.1007/978-3-030-54817-9_98

Ключевые слова: identification, physical properties, portioned shipment, types of polymetallic ores

Аннотация: The development of a dynamic technology for monitoring and controlling the quality of the extraction and processing mineral raw materials based on deposit modeling and ore flow control is relevant for large mining and metallurgical plants, where ore from several mines is sent to the processing plant. There exists a problem connected with all parts coordination of the technological process from the geological model of the deposit, mining faces, ore depots, and the shipment system to the concentrating mill and metallurgical plant. By assessing the physicomechanical properties of rocks and their ratios during the drilling of blastholes, it is possible to determine the composition of the rock mass. The scheduling system monitors the movement of rock mass components from blasting to shipment to ore passes. An intelligent rig system identifies the properties of certain rocks according to their properties and their combination. With the help of the dispatching system, a portion controlled ore shipment occurs with the ore accumulation of the particular composition. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Издание

Журнал: Lecture Notes in Mechanical Engineering

Номера страниц: 845-856

ISSN журнала: 21954356

Издатель: Springer Science and Business Media Deutschland GmbH

Персоны

  • Shigina A.A. (Siberian Federal University, 3, Vuzovsky Lane, Krasnoyarsk, 660025, Russian Federation)
  • Shigin A.O. (Siberian Federal University, 95, Krasnoyarsk Worker, Krasnoyarsk, 660025, Russian Federation)
  • Stupina A.A. (Siberian Federal University, 3, Vuzovsky Lane, Krasnoyarsk, 660025, Russian Federation)

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