Gong-kuang zidonghua (Oct 2021)

Research on intelligent mining in Madiliang Coal Mine

  • XU Rijie1,2,3,
  • YANG Ke1,2,3,
  • WU Jinsong4,
  • KAN Lei4

DOI
https://doi.org/10.13272/j.issn.1671-251x.2021080034
Journal volume & issue
Vol. 47, no. 11
pp. 9 – 15

Abstract

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The existing research results of intelligent mining in coal mines have not been combined with the production practice to specify the application of key technologies of intelligent mining in coal mines. Taking the Madiliang Coal Mine as the engineering background, the key technologies and application effects of the construction achievements of intelligent mining in the coal mine named ten intelligent systems are described. The systems include intelligent dispatching remote centralized control system, equipment intelligent early warning and remote consultation system, intelligent coal mining system, intelligent heading system, intelligent belt transportation system, unattended integrated coal transportation and sale control system, intelligent traffic safety control system, Internet + remote office system, Internet of things + intelligent storage express service system and intelligent ventilation system. The key problems in intelligent mining in coal mines at this stage are pointed out in this paper, which include the urgent need to change the ideology and concept, large initial investment, unbalanced input-output ratio, poor adaptability of mining mode, unsound personnel training system and insufficient key technology innovation. In order to solve the above problems, it is proposed that the mutual collaboration between intelligent subsystems should be further enhanced, the research of intelligent robots should be promoted, the independent perception, analysis and decision-making capabilities of equipment should be improved, and the top-level architecture of intelligent coal mines and big data application centers should be built so as to realize intelligent coal mining, transportation and sales, improve mine production efficiency, ensure the safety of personnel, and achieve the goal of unmanned (fewer people) underground mining.

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