Issue |
E3S Web Conf.
Volume 326, 2021
International Conference on Innovations, Physical Studies and Digitalization in Mining Engineering 2021
|
|
---|---|---|
Article Number | 00005 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/e3sconf/202132600005 | |
Published online | 24 November 2021 |
Analysis of electric consumption: a study in the excavation area of the modern coal mine
T.F. Gorbachev Kuzbass State Technical University, 28, Vesennyaya st., Kemerovo, 650000, Russia
* Corresponding author: voroninva@kuzstu.ru
The growth in the power supply of coal mines over the past decades has had a significant impact on their power consumption. The use of outdated materials for assessing the coal mine energy characteristics may lead to large calculation errors. At the same time, the problem of reducing the energy intensity of coal mining does not lose its relevance. However, in order to achieve it, it is necessary to take into account the current level of development of the mechanized complex of excavation areas. The widespread introduction of SCADA systems and the development of methods for big data processing makes it possible to collect large arrays of measurements and study the power consumption of mining equipment. In this paper, on the basis of extensive arrays of electrical load measurements and technological parameters, a statistical analysis of the load of a modern Eickhoff SL 900 longwall shearer of the Kuzbass coal mine is carried out.
© The Authors, published by EDP Sciences, 2021
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.