| Citation: |
YUAN Zhi，JIANG Qingyou，PANG Zhenzhong. Application status and development thinking of intelligent mining technology and equipment in coal mines in China[J]. Coal Science and Technology，2024，52（9）：189−198. DOI: 10.12438/cst.2024-1054
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YUAN Zhi: 袁智，男，内蒙古乌兰察布人，正高级工程师。国家能源局、国家矿山安全监察局煤矿智能化专家库专家，煤炭工业突出贡献总工程师，全国煤矿智能化卓越专家，中国煤炭工业协会设备管理分会副会长，煤机装备智能化产业联盟副理事长。研究方向：煤矿机械、智能开采技术与装备。主要成果：长期从事煤矿采掘装备研发及智能化技术研究工作，先后主持完成30余项煤矿综采成套设备总体方案设计，组织实施国家重点研发计划、国家能源局补强能源技术装备短板项目、国家“863”课题、国家“973”课题、国家发改委低碳项目等10个国家级项目，牵头建设运行国家能源煤矿采掘机械装备研发（实验）中心，发表专业论文40余篇，申请专利30余件，获省部级科技进步奖20余项
The intelligent technology of coal mines is the core technical support for the high-quality development of the coal industry, and the intelligent mining technology and coal machine equipment of coal mines are the key to the intelligent construction of coal mines. On the basis of a detailed analysis of the current situation of the primary stage of intelligent construction in China’s coal mines and the constraints on the development of intelligent technology and equipment in coal mines, this article analyzes the advantages and disadvantages of intelligent mining technologies such as adaptive planning and cutting control of coal mining machines, intelligent comprehensive control of scraper conveying equipment, hydraulic support electro-hydraulic control, geological guarantee of transparent working faces, straightness monitoring of working faces, precise positioning and active protection of working face personnel, and AI recognition monitoring of working faces.The analysis results show that the intelligent construction of coal mines has brought unprecedented opportunities for the development and upgrading of the high-end coal mining equipment industry. The deep integration of modern information technology and high-end coal mining equipment has greatly innovated China’s coal production mode. However, the bottleneck of intelligent mining technology still restricts its high-quality development, and there is still a significant gap between achieving “less manpower, unmanned” mining in coal mines. As a collaborative system engineering of “human, machine, environment, and management”, the intelligent construction of coal mines is proposed by the author to break the traditional concept of “individual combat” and adhere to the construction concept of “organic intelligent collaboration” to solve the current technological bottleneck. For example, strengthening the transformation of high-end coal mining equipment to new digital intelligence, improving the three-level vertical safety control technology of ground edge end, transforming the planning perception and guidance device from superposition expansion to organic integration, establishing a digital management system for the entire life cycle of equipment, and guiding the transformation of single machine intelligence to group collaborative intelligence are suggested to promote the high-quality development of coal mining equipment technology in China's coal mines.
| [1] |
王国法. 《智能化示范煤矿验收管理办法(试行)》——从编写组视角进行解读[J]. 智能矿山,2022,3(6):2−10.
WANG Guofa. 'Intelligent demonstration coal mine acceptance management measures (trial) ' -interpretation from the perspective of writing group[J]. Journal of Intelligent Mine,2022,3(6):2−10.
|
| [2] |
葛世荣,张晞,薛光辉,等. 我国煤矿煤机智能技术与装备发展研究[J]. 中国工程科学,2023,25(5):146−156.
GE Shirong,ZHANG Xi,XUE Guanghui,et al. Research on the development of intelligent technology and equipment of coal mine in China[J]. China Engineering Science,2023,25(5):146−156.
|
| [3] |
刘峰,曹文君,张建明,等. 我国煤炭工业科技创新进展及“十四五”发展方向[J]. 煤炭学报,2021,46(1):1−15.
LIU Feng,CAO Wenjun,ZHANG Jianming,et al. Progress of science and technology innovation in China's coal industry and development direction for the 14th five year plan[J]. Journal of Coal Science,2021,46(1):1−15.
|
| [4] |
李首滨. 智能化开采研究进展与发展趋势[J]. 煤炭科学技术,2019,47(10):102−110.
LI Shoubin. Progress and development trend of intelligent mining technology[J]. Coal Science and Technology,2019,47(10):102−110.
|
| [5] |
范京道. 煤矿智能化开采技术创新与发展[J]. 煤炭科学技术,2017,45(9):65−71.
FAN Jingdao. Innovation and development of intelligent mining technology in coal mines[J]. Coal Science and Technology,2017,45(9):65−71.
|
| [6] |
赵坤. 到2025年我国大型煤矿基本实现智能化[N]. 中国电力报,2024-05-29(001).
ZHAO Kun. By 2025,China's large-scale coal mines will basically achieve intelligence [N]. China Electric Power News,2024-05-29 (001).
|
| [7] |
张明,张建明. 加快煤矿智能化建设 推进煤炭高质量发展[J]. 煤炭经济研究,2024,44(4):1.
ZHANG Ming,ZHANG Jianming. Accelerating the intelligent construction of coal mines and promoting high quality development of coal[J]. Coal Economy Research,2024,44(4):1.
|
| [8] |
张科利,曹豪. 煤矿智能化建设的系统思考[J]. 中国煤炭工业,2024(2):72−73.
ZHANG Keli,CAO Hao. Systematic Thinking on Intelligent Construction of Coal Mines[J]. China Coal Industry,2024(2):72−73.
|
| [9] |
张闯,张超力,崔涛,等. 煤矿智能化开采技术现状及展望[J]. 能源与节能,2024(1):186−189. doi: 10.3969/j.issn.2095-0802.2024.01.043
ZHANG Chuang,ZHANG Chaoli,CUI Tao,et al. Current status and prospects of intelligent mining technology in coal mines[J]. Energy and Energy Conservation,2024(1):186−189. doi: 10.3969/j.issn.2095-0802.2024.01.043
|
| [10] |
范志忠,裴印昌,刘天习,等. 1.0m以下薄煤层智能化刨煤开采关键技术研究[J]. 煤炭科学技术,2022,50(3):39−45.
FAN Zhizhong,PEl Yinchang,LlU Tianxi,et al. Research on key technology of intelligent coal ploughing mining inthin coal seam below 1.0 m[J]. Coal Seience and Technology,2022,50(3):39−45.
|
| [11] |
王一然,王兵,陈龙高. 澳大利亚莫拉本煤矿长壁智能化工作面现状及思考 [J]. 中国煤炭,2020,46(5):113−118.
WANG Yiran,WANG Bing,CHEN Longgao. The current state and reflection on intelligent longwall face ofMoolarben Coal Mine in Australia[. China Coal,2020,46(5):113−118.
|
| [12] |
铁旭初. 我国煤机装备制造70年发展成就与展望[J]. 中国煤炭,2019,45(11):5−12. doi: 10.3969/j.issn.1006-530X.2019.11.001
TIE Xuchu. Development achievements and prospects of coal machinery equipment manufacturing in China over the past 70 years[J]. China Coal,2019,45(11):5−12. doi: 10.3969/j.issn.1006-530X.2019.11.001
|
| [13] |
闫少宏,徐刚,范志忠. 我国综合机械化开采50年发展历程与展望[J]. 煤炭科学技术,2021,49(11):1−9.
YAN Shaohong,XU Gang,FAN Zhizhong. The 50-year development history and prospect of comprehensive mechanized mining in China[J]. Coal science and technology,2021,49(11):1−9.
|
| [14] |
马晓敏. 标准引领推动矿山智能化建设[N]. 中国矿业报,2023-09-05(004).
MA Xiaomin. Standards lead the promotion of mine intelligent construction[N]. China Mining Daily,2023-09-05(004).
|
| [15] |
李志强,李根. 煤矿智能化建设探索与实践[J]. 中国煤炭,2022,48(1):46−52. doi: 10.3969/j.issn.1006-530X.2022.01.009
LI Zhiqiang,Li Gen. Exploration and practice of coal mine intelligent construction[J]. China Coal,2022,48(1):46−52. doi: 10.3969/j.issn.1006-530X.2022.01.009
|
| [16] |
霍昱名. 厚煤层综放开采顶煤破碎机理及智能化放煤控制研究[D]. 太原:太原理工大学,2019.
HUO Yu’s name. Study on top coal crushing mechanism and intelligent caving control in fully mechanized caving mining of thick coal seam [D]. Taiyuan:Taiyuan University of Technology,2019.
|
| [17] |
梁鑫,程海. 特厚煤层智能化综放开采技术与装备瓶颈综述[J]. 矿产勘查,2021,12(6):1434−1440. doi: 10.3969/j.issn.1674-7801.2021.06.015
LIANG Xin,CHENG Hai. Summary of bottleneck of intelligent fully-mechanized caving mining technology and equipment for extra-thick coal seam[J]. mineral exploration,2021,12(6):1434−1440. doi: 10.3969/j.issn.1674-7801.2021.06.015
|
| [18] |
雷亚军,李增林,韩存地,等. 10 m超大采高智能化综采成套技术与装备[J]. 智能矿山,2024,5(3):7−11.
LEI Yajun,LI Zenglin,HAN Cundi,et al. 10 m super large mining height intelligent fully mechanized mining technology and equipment [ J ]. Intelligent mine,2024,5 (3) :7−11.
|
| [19] |
张强. 神东上湾煤矿8.8m超大采高工作面安装技术研究[D]. 西安:西安建筑科技大学,2019.
ZHANG Qiang. Research on installation technology of 8.8 m super-large mining height working face in Shendong Shangwan Coal Mine[D]. Xi’an:Xi’an University of Architecture and Technology,2019.
|
| [20] |
马冠超. 大海则特大型煤矿全矿井智能化关键技术与应用[J]. 智能矿山,2024,5(3):39−43.
MA Guanchao. Key technology and application of intelligent whole mine in Dahaize super large coal mine[J]. Intelligent mine,2024,5(3):39−43.
|
| [21] |
郭奋超,凌鹏涛,强辉. 红柳林煤矿智能化生产经营管理体系建设研究[J]. 煤炭经济研究,2024,44(4):59−64.
GUO Fenchao,LING Pengtao,QIANG Hui. Research on the construction of intelligent production and operation management system in Hongliulin Coal Mine[J]. Coal Economy Research,2024,44(4):59−64.
|
| [22] |
王国法,庞义辉,刘峰,等. 智能化煤矿分类、分级评价指标体系[J]. 煤炭科学技术,2020,48(3):1−13.
WANG Guofa,PANG Yihui,LIU Feng,et al. Intelligent Coal Mine Classification and Grading Evaluation Index System[J]. Coal Science and Technology,2020,48(3):1−13.
|
| [23] |
司宁,苏传洋. 浅谈煤矿采煤机的自动化与智能化技术[J]. 中国设备工程,2024(9):48−50. doi: 10.3969/j.issn.1671-0711.2024.09.023
SI Ning,SU Chuanyang. Discussion on automation and intelligent technology of coal mine shearer[J]. China Equipment Engineering,2024(9):48−50. doi: 10.3969/j.issn.1671-0711.2024.09.023
|
| [24] |
林壮. 大功率永磁变频一体机在煤矿的应用[J]. 煤矿机械,2024,45(3):128−130.
LIN Zhuang. Application of high power permanent magnet variable frequency machine in coal mine[J]. Coal mine machinery,2024,45(3):128−130.
|
| [25] |
迟焕磊,袁智,胡登高,等. 煤矿智能化工作面远程供电供液配套技术[J]. 煤炭科学技术,2018,46(S2):146−152.
CHI Huanlei,YUAN Zhi,HU Denggao,et al. Remote power supply and liquid supply supporting technology for intelligent coal mine working face[J]. Coal Science and Technology,2018,46(S2):146−152.
|
| [26] |
王嘉伟,王海军,吴汉宁,等. 基于三维地质建模技术的煤矿隐蔽致灾因素透明化研究[J]. 工矿自动化,2024,50(3):71−81,121.
WANG Jiawei,WANG Haijun,WU Hanning,et al. Research on Transparency of Hidden Disaster Factors in Coal Mines Based on 3D Geological Modeling Technology[J]. Industrial and Mining Automation,2024,50(3):71−81,121.
|
| [27] |
董书宁,刘再斌,程建远,等. 煤炭智能开采地质保障技术及展望[J]. 煤田地质与勘探,2021,49(1):21−31. doi: 10.3969/j.issn.1001-1986.2021.01.003
DONG Shuning,LIU Zaibin,CHENG Jianyuan,et al. Technologies and prospect of geological guarantee for intelligent coal mining[J]. Coal Geology & Exploration,2021,49(1):21−31. doi: 10.3969/j.issn.1001-1986.2021.01.003
|
| [28] |
杜超恒. 基于惯导系统的综采工作面自动调直技术[J]. 内蒙古煤炭经济,2023(23):49−51. doi: 10.3969/j.issn.1008-0155.2023.23.018
DU Chaoheng. Automatic straightening technology for fully mechanized mining face based on inertial navigation system[J]. Inner Mongolia Coal Economy,2023(23):49−51. doi: 10.3969/j.issn.1008-0155.2023.23.018
|
| [29] |
李文俊. 基于惯导系统的综采工作面自动调直技术[J]. 陕西煤炭,2022,41(4):130−133,146. doi: 10.3969/j.issn.1671-749X.2022.04.028
LI Wenjun. Automatic straightening technology for fully mechanized mining face based on inertial navigation system[J]. Shaanxi Coal,2022,41(4):130−133,146. doi: 10.3969/j.issn.1671-749X.2022.04.028
|
| [30] |
喻川. 基于UWB精确定位技术的掘进工作面人员接近防护系统[J]. 智能矿山,2024,5(2):79−83.
YU Chuan. Personnel approach protection system for excavation working face based on UWB precise positioning technology[J]. Intelligent Mine,2024,5(2):79−83.
|
| [31] |
迟国铭,郑铁华,刘孝军,等. 基于全景视频拼接的自适应截割智能化工作面无人开采技术及应用[J]. 智能矿山,2024,5(3):59−63.
CHI Guoming,ZHENG Tiehua,LIU Xiaojun,et al. Adaptive Cutting Intelligent Working Face Unmanned Mining Technology and Application Based on Panoramic Video Splicing[J]. Intelligent Mining,2024,5(3):59−63
|
| [32] |
王国法,杜毅博. 德国工业4.0与中国煤机装备智能制造的发展[J]. 煤炭科学技术,2019,47(3):1−9.
WANG Guofa,DU Yibo. German Industry 4.0 and the Development of Intelligent Manufacturing of Coal Machinery Equipment in China[J]. Coal Science and Technology,2019,47(3):1−9.
|
| [33] |
张国恩,严超超,王毅颖. 矿鸿操作系统在智能化综采工作面的应用研究[J]. 煤炭工程,2023,55(3):84−88.
ZHANG Guoen,YAN Chaochao,WANG Yiying. Research on the Application of Mining Hong Operating System in Intelligent Comprehensive Mining Face[J]. Coal Engineering,2023,55(3):84−88.
|
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| |
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