ZHU Defu, XING Cu'en, QIAO Gangjie. Construction of 3D coal seam model based on improved triangular prism element[J]. Journal of Mine Automation, 2014, 40(7): 22-24. DOI: 10.13272/j.issn.1671-251x.2014.07.007
Citation: ZHU Defu, XING Cu'en, QIAO Gangjie. Construction of 3D coal seam model based on improved triangular prism element[J]. Journal of Mine Automation, 2014, 40(7): 22-24. DOI: 10.13272/j.issn.1671-251x.2014.07.007

Construction of 3D coal seam model based on improved triangular prism element

More Information
  • Existing 3D modeling methods of coal seam use twice interpolation algorithms and traditional triangular prism to construct coal seam model, which lead to bigger error. Delaunay triangle subdivision algorithm and Kriging interpolation algorithm were adopted to establish 2D curved surface data model of coal seam according to drilling data of coal mine in a database, so as to form upper and lower surfaces of 3D coal seam model. An improved triangular prism element was taken as basic element to construct 3D coal seam model combined with 3D drilling model, so as to realize 3D visualization of coal seam and automatic calculation of coal reserve. According to original drilling data of a coal mine, 3D coal seam model in a working face was constructed by use of 3D modeling method of coal seam based on the improved triangular prism element and coal reserve was calculated with a more accurate result of 4.82% than traditional segment method.
  • Related Articles

    [1]SONG Danyang, LU Chungui, TAO Xinya, YANG Jinheng, WANG Pei'en, ZHENG Wenqiang, SONG Jiancheng. Hydraulic support straightening method based on maximum correntropy Kalman filtering algorithm[J]. Journal of Mine Automation, 2022, 48(11): 119-124. DOI: 10.13272/j.issn.1671-251x.2022020030
    [2]LI Guiming, ZHOU Chao, WANG Xiaodong. Research on influence of the maximum principal stress direction on stability of roadway surrounding rock[J]. Journal of Mine Automation, 2019, 45(10): 38-42. DOI: 10.13272/j.issn.1671-251x.2019040058
    [3]ZHANG Linfeng, TIAN Muqin, SONG Jiancheng, HE Ying, FENG Junling, YANG Xiang. Feature extraction of vibration signal of roadheader based on singular value decompositio[J]. Journal of Mine Automation, 2019, 45(1): 28-34. DOI: 10.13272/j.issn.1671-251x.2018070035
    [4]XIE Fei, ZHANG Xueying, QIAO Tiezhu, YANG Yang. An early fault detection method of steel cord conveyor belt[J]. Journal of Mine Automation, 2015, 41(1): 58-62. DOI: 10.13272/j.issn.1671-251x.2015.01.015
    [5]ZHANG Wenbi. Application of energy difference spectrum of singular value in signal noise reductio[J]. Journal of Mine Automation, 2014, 40(10): 25-28. DOI: 10.13272/j.issn.1671-251x.2014.10.008
    [6]LIU Jie, YANG Hai-qun. Application research of wavelet neural network and PID in maximum power point tracking of wind power system[J]. Journal of Mine Automation, 2013, 39(12): 73-76. DOI: 10.7526/j.issn.1671-251X.2013.12.018
    [7]LIANG Yi-qun, WANG Hua-jun, CHEN Li. Improved maximum power point tracking strategy of doubly-fed wind generator[J]. Journal of Mine Automation, 2013, 39(8): 80-84. DOI: 10.7526/j.issn.1671-251X.2013.08.021
    [8]HE Yong-hui, LI La. Comparison of methods of maximum power point tracking of photovoltaic cells[J]. Journal of Mine Automation, 2013, 39(6): 81-84.
    [9]TIAN Shu, ZHAO Mi. Fault Location Method of Underground Cable Based on Wavelet Analysis and Neural Network[J]. Journal of Mine Automation, 2012, 38(4): 30-34.
    [10]TIAN Shu, MA Shi-she. Traveling Wave Fault Ranging of Underground Power Network[J]. Journal of Mine Automation, 2009, 35(9): 52-55.
  • Cited by

    Periodical cited type(3)

    1. 陈生凯,明平田,申宁. 青海某金矿安全监管视频AI智能系统建设. 黄金. 2025(01): 20-23+36+6 .
    2. 张珂. 井工煤矿智能化基础理论及关键技术. 煤矿机电. 2024(02): 35-38+45 .
    3. 江鹤,程德强,乙夫迪,汪鹏,崔文,寇旗旗. 新一代信息技术在智能矿山中的研究与应用综述. 工矿自动化. 2024(11): 1-16 . 本站查看

    Other cited types(5)

Catalog

    Article Metrics

    Article views (81) PDF downloads (11) Cited by(8)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return