麻地梁煤矿智能化开采研究

许日杰; 杨科; 吴劲松; 阚磊

doi:10.13272/j.issn.1671-251x.2021080034

麻地梁煤矿智能化开采研究

doi: 10.13272/j.issn.1671-251x.2021080034

许日杰^1,2,3,
杨科^1,2,3,
吴劲松⁴,
阚磊⁴

1.
1. 安徽理工大学深部煤矿采动响应与灾害防控国家重点实验室, 安徽淮南 232001;
2.
2. 安徽理工大学煤炭安全精准开采国家地方联合工程研究中心, 安徽淮南 232001;
3.
3. 安徽理工大学煤矿安全高效开采省部共建教育部重点实验室, 安徽淮南 232001;
4.
4. 内蒙古智能煤炭有限责任公司麻地梁煤矿, 内蒙古鄂尔多斯 010499

基金项目:

安徽高校协同创新项目（GXXT-2019-029）。

详细信息

作者简介:
许日杰(1999-),男,安徽合肥人,博士研究生,主要研究方向为煤矿智能精准开采,E-mail:2226588145@qq.com。

中图分类号: TD67
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- 文章访问数: 183
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- 被引次数: 0
出版历程
- 收稿日期: 2021-08-12
- 修回日期: 2021-10-29
- 刊出日期: 2021-11-20

Research on intelligent mining in Madiliang Coal Mine

XU Rijie^1,2,3,
YANG Ke^1,2,3,
WU Jinsong⁴,
KAN Lei⁴

1.
State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China;
2.
National and Local Joint Engineering Research Center of Precision Coal Mining, Anhui University of Science and Technology, Huainan 232001, China;
3.
Key Laboratory of Safety and High-efficiency Coal Mining of the Ministry of Education, Anhui University of Science and Technology, Huainan 232001, China;
4.
Madiliang Coal Mine, Inner Mongolia Intelligent Coal Co., Ltd., Ordos 010499, China

摘要

摘要: 现有的煤矿智能化开采研究成果未结合生产实践具体阐述智能化开采关键技术在煤矿的应用情况。以麻地梁煤矿为工程背景，阐述了该煤矿智能化开采建设成果——十大智慧系统，即智能调度远程集控系统、设备智能预警与远程会诊系统、智能采煤系统、智能掘进系统、智能胶带运输系统、无人值守一体化煤质运销管控系统、智能交通安全管控系统、互联网+远程办公系统、物联网+智能仓储快递服务系统、智能通风系统的关键技术及应用效果。指出了现阶段煤矿智能化开采中存在的关键问题，包括思想理念亟需转变，前期投入大、投入产出比不平衡，开采模式适应性差，人才培养体系不健全，关键技术创新不够等。为解决上述问题，提出应进一步增强智能子系统间的相互协同性，推进智能机器人研究，提高设备自主感知、分析、决策能力，构建智能煤矿顶层架构与大数据应用中心等，以实现煤炭智能开采、运输与销售，提高矿井生产效率，保障工人生命安全，实现井下无人(少人)开采目标。
- 煤矿智能化 /
- 智能化开采 /
- 智能采煤 /
- 智能掘进 /
- 智能运输 /
- 智能通风 /
- 5G
Abstract: 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.
- coal mine intelligence /
- intelligent mining /
- intelligent coal mining /
- intelligent heading /
- intelligent transportation /
- intelligent ventilation /
- 5G

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参考文献(14)

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