Research status and prospects of key technologies for intelligent rapid excavation in coal mines

被引：0
|
作者：
Mao J. [1 ]
Yang R. [1 ]
Xie M. [1 ]
Lu J. [1 ]
Wang H. [1 ]
Liu Z. [1 ]
Wang S. [1 ]
机构：
[1] School of Mechanical Engineering, Liaoning Technical University, Fuxin
来源：
Meitan Xuebao/Journal of the China Coal Society | 2024年 / 49卷 / 02期
关键词：
autonomous qualitative directional cutting; digital twins; flexible parallel operation; intelligent tunneling; multi-stage and multi-process collaborative control;
D O I：
10.13225/j.cnki.jccs.2023.1424
中图分类号：
学科分类号：
摘要：
In view of the intelligentization of coal mine roadway excavation, this paper discusses the current development status of four major categories of intelligent fast excavation equipment, including continuous mining machine, excavation and anchor machine, full-section excavation system, and anchor excavation machine, analyzes the applicability of the four major categories of intelligent fast excavation equipment with the geological conditions, proposes some key technological issues for the realization of intelligent coal mine excavation which need to be resolved, and also explores the information transmission and intelligent analysis technology, intelligent perception technology, precise positioning and navigation technology, autonomous stereotyped directional cutting technology, remote and autonomous cutting control technology of road-header and multi-level and multi-process intelligent cooperative control technology, as they are the basis for the realization of intelligent roadway excavation. Based on the key technological issues needed to be solved in the mine roadway excavation under the complex geological conditions, the paper puts forward the design method of systematic analysis, modular design and optimal combination of functions, according to the functional requirements of the excavation operation and the requirements of the excavation process. A multi-level digital twin architecture of virtual control and virtual-reality combination is studied based on the multi-dimensional information reproduction of heading equipment, environment, and geological structure to realize the remote control of road-heading machine. A control method that integrates single-machine intelligence, system synergism, and synergism of underground intelligent control and surface remote monitoring is proposed. A new type of flexible advance support technology without repetitive crushing, multi-stage telescopic cutting technology of cutting section, and multi-rig parallel operation technology of intelligent anchoring unit have been developed, and a new type of combined unit for rapid roadway heading operation with a parallel operation of excavating, supporting, anchoring, transporting, and exploring processes has been also developed, and a flexible parallel operation technology of excavation robot, advance support robot, anchoring robot, and auxiliary transportation robot group has been proposed. A data-driven multi-machine, multi-process collaborative control behavior planning and decision-making method is proposed. In addition, it is proposed to construct a complete coal mine underground cross-system full-temporal-spatial information digital sensing system, build a data sensing intelligent monitoring platform with multi-parameter, multiscale and full-temporal-spatial characteristics, that integrates the production state of underground site, spatial information of roadway, state of heading equipment, and risk information, etc., and realize a real-time communication between virtual system and actual tunneling system, so as to realize the intelligent and less-manned heading through data-driven planning and analysis. © 2024 China Coal Society. All rights reserved.
引用
收藏
页码：1214 / 1229
页数：15
相关论文
共 51 条
  • [11] LIU Quansheng, HUANG Xing, PAN Yucong, Et al., Technical application and research progress of TBM in coal mine roadway excavation[J], Coal Science and Technology, 51, 1, (2023)
  • [12] CHENG Hua, TANG Bin, TANG Yongzhi, Et al., Full face tunnel boring machine for deep-buried roadways and its key rapid excavation technologies, Journal of China Coal Society, 45, 9, pp. 3314-3324, (2020)
  • [13] MA Hongwei, WANG Peng, ZHANG Xuhui, Et al., Research on the key technology of intelligent tunneling robot system for coal mine roadway[J], Journal of Xi’an University of Science and Technology, 40, 5, pp. 751-759, (2020)
  • [14] FAN Yaohui, Design and research of six-arm bolter-miner[J], Coal Technology, 40, 8, (2021)
  • [15] WANG Guofa, REN Huaiwei, ZHAO Guorui, Et al., Digital model and giant system coupling technology system of smart coal mine[J], Journal of China Coal Society, 47, 1, (2022)
  • [16] WANG Guofa, ZHAO Guorui, HU Yahui, Application prospect of 5G technology in coal mine intelligence[J], Journal of China Coal Society, 45, 1, (2020)
  • [17] LI Weihong, Research on solution of mine 4G and 5G integration system[J], Journal of Mine Automation, 47, S2, (2021)
  • [18] DING Enjie, YU Xiao, XIA Bing, Et al., Development of mine informatization and key technologies of intelligent mines[J], Journal of China Coal Society, 47, 1, (2022)
  • [19] DU Yibo, ZHAO Guorui, GONG Shixin, Study on big data platform architecture of intelligent coal mine and key technologies of data processing, Coal Science and Technology, 48, 7, (2022)
  • [20] HU Xingtao, ZHU Tao, SU Jimin, Et al., The key technology of intelligent tunneling perception in coal mine roadway[J], Journal of China Coal Society, 46, 7, pp. 2123-2135, (2021)
123456