| Issue |
E3S Web Conf.
Volume 174, 2020
Vth International Innovative Mining Symposium
|
|
|---|---|---|
| Article Number | 03012 | |
| Number of page(s) | 5 | |
| Section | Innovations in Mining Machinery | |
| DOI | https://doi.org/10.1051/e3sconf/202017403012 | |
| Published online | 18 June 2020 | |
Review of Mining Equipment with Controlled Robotized Subvel Caving with Specialized Software
1 Federal Research Center of Coal and Coal Chemistry of Siberian Branch of the Russian Academy of Sciences, 10 Leningradsky Avenue, Kemerovo, 650000, Russia
2 T.F. Gorbachev Kuzbass State Technical University, Department of Information and Automated Production Systems, 650000 Kemerovo, 28 Vesennya st., Russian Federation
3 T.F. Gorbachev Kuzbass State Technical University, Department of Mining Machines and Complexes, 650000 Kemerovo, 28 Vesennya st., Russian Federation
* Corresponding author: a.n.starodubov@gmail.com
Near 19 million ton of coal are mined with subvel caving. This is about 15% of all mined coal. Significant part of high qualitative coal is concentrated in thick seams (more than 4,8 m.). Subvel caving for thick seams is the main factor of mining efficiency. Specialized software has been developed for research and projecting of thick seams coal mining. It allows to automate the process of optimal mode choice with robotized subvel caving for different mining-and-geological conditions. We showed operating principle of the software and screen forms of data entering and output of modes simulating results for mining equipment with robotized subvel caving.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.