Coal Geology & Exploration
Abstract
Objective 3D digital twin for complex gangue-bearing coal seams are designed to achieve an information-based description of physical coal seams and faithfully map their virtual forms. digital twin is identified as a prerequisite for exploring the efficient cutting of intelligent shearers while providing an effective data guarantee for achieving unmanned mining. Methods Using data on samples from the mining face of coal seam 17 in the Yankuang Energy Group Co., Ltd. Shandong Province, this study proposed a methodology that integrates more information about the geological structural conditions of coal seams. Specifically, digital twining of iron sulfide nodules was performed using the irregular particle modeling technology, the coal-rock particle filling technology for coals was optimized, and the surface roughness of coal-rock particles was simulated using a user-defined contact model. Based on the constructed initial static 3D digital twin for a coal seam, this study compiled the application plugin for coal seams and added new attributes to coal-rock particles and structures according to geological characteristics, thus correcting the digital twin structure. The feasibility of the digital twin was verified using the cutting experiment with a shearer. Results and Conclusions The results indicate that the initial static 3D digital twin for the coal-seam mining face was constructed by adding iron sulfide nodules, faults, and coal seam roofs and floors. The dynamic 3D digital twin for a complex gangue-bearing coal seam was established, enabling the correction and replacement of the particle set. The cutting experiment with a shearer demonstrates the similarity of physical properties between the modeled coal seam and actual coals and rocks, yielding minor errors in drum load during coal-rock cutting between the 3D digital twin for a complex gangue-bearing coal seam and actual coals and rocks. The 3D digital twin was applied to the bidirectional coupling test of coal-rock cutting, demonstrating that the optimized, reconstructed 3D digital twin for coal-seam mining face faithfully reflected the coal seam morphology of the mining face. The dynamic 3D digital twin for a complex gangue-bearing coal seam, allowing for the correction and replacement of the particle set, can reflect the information about various geological structures in actual mining face more accurately and rapidly, enabling more effective acquisition of coal-rock cutting information.
Keywords
3D digital twin, correction and replacement of a particle set, virtual mapping, coal-rock cutting information, discrete element, complex gangue-bearing coal seam
DOI
10.12363/issn.1001-1986.24.09.0568
Recommended Citation
ZHANG Meichen, ZHAO Lijuan, WANG Yadong,
et al.
(2024)
"Construction and correction of a 3D digital twin for a complex gangue-bearing coal seam,"
Coal Geology & Exploration: Vol. 52:
Iss.
12, Article 5.
DOI: 10.12363/issn.1001-1986.24.09.0568
Available at:
https://cge.researchcommons.org/journal/vol52/iss12/5
Reference
[1] 王国法,刘合,王丹丹,等. 新形势下我国能源高质量发展与能源安全[J]. 中国科学院院刊,2023,38(1):23−37.
WANG Guofa,LIU He,WANG Dandan,et al. High-quality energy development and energy security under the new situation for China[J]. Bulletin of Chinese Academy of Sciences,2023,38(1):23−37.
[2] 王国法. 煤炭产业数字化转型和智能化建设支撑新质生产力发展[J]. 中国煤炭工业,2024(6):6−9.
WANG Guofa. Digital transformation and intelligent construction of coal industry support the development of new quality productivity[J]. China Coal Industry,2024(6):6−9.
[3] 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. Development of intelligent technologies and machinery for coal mining in China’s underground coal mines[J]. Strategic Study of CAE,2023,25(5):146−156.
[4] TIAN Zhen,JING Shuangxi,GAO Shan. Dynamic stress and fatigue life analysis of a coal plow bit[J]. Journal of Materials Engineering and Performance,2021,30(11):8235−8241.
[5] 韩金伟,崔毅斌,张传良,等. 基于3DMine煤矿矿体三维可视化模型建构研究[J]. 煤炭技术,2024,43(8):261−265.
HAN Jinwei,CUI Yibin,ZHANG Chuanliang,et al. Research on 3D visualization model construction based on 3DMine coal ore body[J]. Coal Technology,2024,43(8):261−265.
[6] 张健,李春永,许尚博. 基于钻孔数据的煤岩层三维数值模型构建与应用[J]. 能源技术与管理,2022,47(5):1−4.
ZHANG Jian,LI Chunyong,XU Shangbo. Construction and application of three-dimensional numerical model of coal and rock strata based on borehole data[J]. Energy Technology and Management,2022,47(5):1−4.
[7] 张小艳,朱圣凯,杨鑫磊. 采煤工作面煤层三维地质建模[J]. 科学技术与工程,2020,20(10):4049−4055.
ZHANG Xiaoyan,ZHU Shengkai,YANG Xinlei. Three-dimensional geological modeling of coal seam in mining face[J]. Science Technology and Engineering,2020,20(10):4049−4055.
[8] WELIVITIYA W D D P,WILLGOOSE G R,HANCOCK G R. Evaluating a new landform evolution model:A case study using a proposed mine rehabilitation landform[J]. Earth Surface Processes and Landforms,2021,46(11):2298−2314.
[9] ROY A,KUMAR T S,SHARMA R K. Structure estimation of 2D listric faults using quadratic bezier curve for depth varying density distributions[J]. Earth and Space Science,2022,9(2):e2021EA002061.
[10] 葛世荣,张帆,王世博,等. 数字孪生智采工作面技术架构研究[J]. 煤炭学报,2020,45(6):1925−1936.
GE Shirong,ZHANG Fan,WANG Shibo,et al. Digital twin for smart coal mining workface:Technological frame and construction[J]. Journal of China Coal Society,2020,45(6):1925−1936.
[11] BEDNARZ T,JAMES C,WIDZYK-CAPEHART E,et al. Distributed collaborative immersive virtual reality framework for the mining industry[M]//Machine vision and mechatronics in practice. Berlin,Heidelberg:Springer Berlin Heidelberg,2015:39–48.
[12] 孙亮. 井下煤矿综采智能协同关键技术研究[J]. 自动化应用,2024(7):46−47.
SUN Liang. Research on key technologies of intelligent collaboration for comprehensive mining in underground coal mines[J]. Automation Application,2024(7):46−47.
[13] 王国法,杜毅博. 煤矿智能化标准体系构建与建设内容解析[J]. 智能矿山,2024,5(5):2−12.
WANG Guofa,DU Yibo. Coal mine intelligent standard system framework and construction ideas[J]. Journal of Intelligent Mine,2024,5(5):2−12.
[14] CHEN Junchao,ZHOU Lei,CHEMENDA A I,et al. Numerical modeling of fracture process using a new fracture constitutive model with applications to 2D and 3D engineering cases[J]. Energy Science & Engineering,2020,8(7):2628−2647.
[15] 李娟莉,姜朔,谢嘉成,等. 基于采煤机截割路径的动态三维地质模型构建方法[J]. 东北大学学报(自然科学版),2021,42(5):706−712.
LI Juanli,JIANG Shuo,XIE Jiacheng,et al. Construction method of the dynamic 3-D geological model based on shearer cutting path[J]. Journal of Northeastern University (Natural Science),2021,42(5):706−712.
[16] WU Yuqi,TAHMASEBI P,YU Hao,et al. Pore-scale 3D dynamic modeling and characterization of shale samples:Considering the effects of thermal maturation[J]. Journal of Geophysical Research:Solid Earth,2020,125(1):e2019JB018309.
[17] 田震,荆双喜,赵丽娟,等. 基于离散单元法的刨煤机刨削性能分析及试验研究[J]. 振动与冲击,2020,39(10):261−268.
TIAN Zhen,JING Shuangxi,ZHAO Lijuan,et al. Performance analysis and experimental investigation of coal plow based on discrete element method[J]. Journal of Vibration and Shock,2020,39(10):261−268.
[18] 赵丽娟,罗贵恒,刘旭南. 夹矸煤层采煤机斜切进刀过程滚筒载荷特性研究[J]. 煤炭科学技术,2020,48(4):218−223.
ZHAO Lijuan,LUO Guiheng,LIU Xunan. Research on drum load characteristics in oblique cutting process of shearer with coal containing parting[J]. Coal Science and Technology,2020,48(4):218−223.
[19] 蔡改贫,宣律伟,张雪涛,等. 多尺度内聚颗粒模型破碎过程研究[J]. 岩土力学,2020,41(6):1809−1817.
CAI Gaipin,XUAN Lüwei,ZHANG Xuetao,et al. Investigation into the crushing process in multi-scale cohesive particle model[J]. Rock and Soil Mechanics,2020,41(6):1809−1817.
[20] 蔡改贫,年顺,郭晋. 基于多尺度内聚颗粒模型的轴压破碎过程研究[J]. 矿业研究与开发,2020,40(2):150−155.
CAI Gaipin,NIAN Shun,GUO Jin. Visualization of the crushing process of multi-scale cohesive rock particle model[J]. Mining Research and Development,2020,40(2):150−155.
[21] 钱万雄. 基于EDEM的黏土三维离散元模拟程序开发[D]. 徐州:中国矿业大学,2020.
QIAN Wanxiong. Development of 3D discrete element simulation program for clay based on EDEM[D]. Xuzhou:China University of Mining and Technology,2020.
[22] 彭继慎,何武林. 基于离散元分析的夹矸煤层硬岩掘进机载荷分析[J]. 机械设计,2020,37(6):65−70.
PENG Jishen,HE Wulin. Load analysis on the hard-rock tunneling machine of coal seam with gangue based on the discrete element simulation[J]. Journal of Machine Design,2020,37(6):65−70.
[23] 毛君,刘思阳,张坤,等. 基于EDEM的放顶煤液压支架放煤过程的仿真研究[J]. 机械强度,2019,41(2):468−472.
MAO Jun,LIU Siyang,ZHANG Kun,et al. Simulation study on caving process of caving coal hydraulic supports based on edem[J]. Journal of Mechanical Strength,2019,41(2):468−472.
[24] 蒋明镜,陈意茹,卢国文. 一种实用型深海能源土多场耦合离散元数值方法[J]. 岩土工程学报,2021,43(8):1391−1398.
JIANG Mingjing,CHEN Yiru,LU Guowen. A practical multi-field coupling distinct element method for methane hydrate bearing sediments[J]. Chinese Journal of Geotechnical Engineering,2021,43(8):1391−1398.
[25] 蒋明镜,庞红星,王华宁,等. 复合岩体中深埋隧道开挖破坏机理离散元分析[J]. 地下空间与工程学报,2020,16(增刊2):702–709.
JIANG Mingjing,PANG Hongxing,WANG Huaning,et al. Discrete element analysis of failure mechanism of deep-buried tunnel excavation in composite rock mass[J]. Chinese Journal of Underground Space and Engineering,2020,16(Sup.2):702–709.
[26] 翟继红,白新理. 地基土抗剪强度与极限平衡条件的评价分析[J]. 铁道建筑,2005,45(4):55−57.
ZHAI Jihong,BAI Xinli. Assessment analysis on shear strength and limit equilibrium of subsoil[J]. Railway Engineering,2005,45(4):55−57.
[27] 张崇宏. 兖州矿区含硫化铁硬结核体薄煤层工作面综合机械化开采成套装备研究与应用[J]. 山东煤炭科技,2010,28(2):144−145.
ZHANG Chonghong. Yanzhou Mining Area TB hard body iron sulfide thin seam of mechanized mining equipment and application packages[J]. Shandong Coal Science and Technology,2010,28(2):144−145.
[28] 赵丽娟,金鑫,赵宇迪,等. 含夹矸煤层滚筒磨损特性离散元模拟试验分析[J]. 煤炭学报,2020,45(9):3341−3350.
ZHAO Lijuan,JIN Xin,ZHAO Yudi,et al. Discrete element simulation analysis on the wear characteristics of drum in coal seam with gangue[J]. Journal of China Coal Society,2020,45(9):3341−3350.
[29] 赵丽娟,闻首杰,刘旭南. 仿真颗粒半径对模拟滚筒截割复杂煤层的影响研究[J]. 机械科学与技术,2020,39(1):52−57.
ZHAO Lijuan,WEN Shoujie,LIU Xunan. The influence of simulated particle radius on complex coal seam of drum cutting[J]. Mechanical Science and Technology for Aerospace Engineering,2020,39(1):52−57.
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