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

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 exc...

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Main Authors: Jun MAO, Runkun YANG, Miao XIE, Jinnan LU, He WANG, Zhixiang LIU, Shuai WANG
Format: Article
Language:zho
Published: Editorial Office of Journal of China Coal Society 2024-03-01
Series:Meitan xuebao
Subjects:
Online Access:http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2023.1424
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author Jun MAO
Runkun YANG
Miao XIE
Jinnan LU
He WANG
Zhixiang LIU
Shuai WANG
author_facet Jun MAO
Runkun YANG
Miao XIE
Jinnan LU
He WANG
Zhixiang LIU
Shuai WANG
author_sort Jun MAO
collection DOAJ
description 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, multi-scale 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.
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spelling doaj.art-3de0d6b25c1546658e35da89546b05682024-04-02T04:00:38ZzhoEditorial Office of Journal of China Coal SocietyMeitan xuebao0253-99932024-03-014921214122910.13225/j.cnki.jccs.2023.14242023-1424Research status and prospects of key technologies for intelligent rapid excavation in coal minesJun MAO0Runkun YANG1Miao XIE2Jinnan LU3He WANG4Zhixiang LIU5Shuai WANG6School of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, ChinaSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, ChinaSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, ChinaSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, ChinaSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, ChinaSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, ChinaSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, ChinaIn 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, multi-scale 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.http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2023.1424intelligent tunnelingautonomous qualitative directional cuttingflexible parallel operationmulti-stage and multi-process collaborative controldigital twins
spellingShingle Jun MAO
Runkun YANG
Miao XIE
Jinnan LU
He WANG
Zhixiang LIU
Shuai WANG
Research status and prospects of key technologies for intelligent rapid excavation in coal mines
Meitan xuebao
intelligent tunneling
autonomous qualitative directional cutting
flexible parallel operation
multi-stage and multi-process collaborative control
digital twins
title Research status and prospects of key technologies for intelligent rapid excavation in coal mines
title_full Research status and prospects of key technologies for intelligent rapid excavation in coal mines
title_fullStr Research status and prospects of key technologies for intelligent rapid excavation in coal mines
title_full_unstemmed Research status and prospects of key technologies for intelligent rapid excavation in coal mines
title_short Research status and prospects of key technologies for intelligent rapid excavation in coal mines
title_sort research status and prospects of key technologies for intelligent rapid excavation in coal mines
topic intelligent tunneling
autonomous qualitative directional cutting
flexible parallel operation
multi-stage and multi-process collaborative control
digital twins
url http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2023.1424
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