基于探地雷达的煤岩界面探测数据解释方法

详细信息    查看全文 | 推荐本文 |

英文篇名：Data interpretation method of coal-rock interface detection based on ground penetrating radar 作者：苗曙光 ; 刘晓文 ; 李淮江 ; 王昕 英文作者：MIAO Shuguang;LIU Xiaowen;LI Huaijiang;WANG Xin;School of Information and Control Engineering,China University of Mining and Technology;School of Physics and Electronic Information,Huaibei Normal University;Internet of Things(Perception Mine)Research Center,China University of Mining and Technology; 关键词：煤炭开采 ; 无人工作面 ; 煤岩界面识别 ; 煤岩界面探测 ; 探地雷达 ; 数据解释 ; 图像分割 ; 最大类间方差法 英文关键词：coal mining;;unmanned working face;;coal-rock interface identification;;coal-rock interface detection;;ground penetrating radar;;data interpretation;;image segmentation;;OTSU 中文刊名：MKZD 英文刊名：Industry and Mine Automation 机构：中国矿业大学信息与控制工程学院;淮北师范大学物理与电子信息学院;中国矿业大学物联网(感知矿山)研究中心; 出版日期：2018-12-28 09:27 出版单位：工矿自动化 年：2019 期：v.45;No.274 基金：国家重点研发计划资助项目(2017YFC0804400);; 国家重点基础研究发展计划(973计划)资助项目(2014CB046305);; 安徽省第七批“115”产业创新团队项目(皖人才[2014]4号);; 淮北市第三批“555”产业创新团队项目(淮人才字[2013]2号) 语种：中文; 页：MKZD201901007 页数：5 CN：01 ISSN：32-1627/TP 分类号：38-42

摘要

针对现有煤岩界面识别方法缺乏对煤岩层特性的研究、无法对数据进行较好解释的问题,结合基于探地雷达的煤岩界面探测模型,提出了一种煤岩界面探测数据解释方法,即采用一种改进的最大类间方差法,在二维灰度直方图下对探地雷达探测的煤岩图像进行阈值化分割,从而实现煤岩界面识别。通过仿真实验研究了探地雷达天线频率对可探测煤层厚度的影响,结果表明随着天线频率增大,理论可探测最大煤层厚度减小;采用LTD-2100型探地雷达,设置400 MHz天线频率进行现场测试,结果表明基于探地雷达的煤岩界面探测数据解释方法可提高煤岩界面识别准确性。
        For problems that existing coal-rock interface identification methods lacked research on characteristics of coal-rock seam and were unable to interpret data well,a data interpretation method of coal-rock interface detection was proposed combining with coal-rock interface detection model based on ground penetrating radar(GPR).The method uses an improved OTSU to take out threshold segmentation of coal-rock image from GPR under 2 D gray histogram,so as to realize coal-rock interface detection.Influence of GPR antenna frequency on detectable coal seam thickness was researched by simulation experiment.The results show that the maximum detectable coal seam thickness in theory would decrease with increase of antenna frequency.Field test was taken out by use of LTD-2100 type GPR with 400 MHz antenna frequency.The test results show that the data interpretation method of coal-rock interfacedetection based on GPR can improve accuracy of coal-rock interface identification.

引文

[1]吴婕萍,李国辉.煤岩界面自动识别技术发展现状及其趋势[J].工矿自动化,2015,41(12):44-49.WU Jieping,LI Guohui.Developmentstatusand tendency of automatic identification technologies of coal-rockinterface[J].IndustryandMine Automation,2015,41(12):44-49.
    [2]王水生.基于振动特性分析的采煤机煤岩识别控制系统[J].工矿自动化,2015,41(5):83-87.WANG Shuisheng.Coal-rock recognition and control system of shearer based on vibration characteristics analysis[J].Industry and Mine Automation,2015,41(5):83-87.
    [3]孙继平,杨坤.一种煤岩图像特征提取与识别方法[J].工矿自动化,2017,43(5):1-5.SUN Jiping,YANG Kun.A coal-rock image feature extraction and recognition method[J].Industry and Mine Automation,2017,43(5):1-5.
    [4]任芳.基于多传感器数据融合技术的煤岩界面识别的理论与方法研究[D].太原:太原理工大学,2003.
    [5]王保平,王增才,张万枝.基于EMD与神经网络的煤岩界面识别方法[J].振动.测试与诊断,2012,32(4):586-590.WANG Baoping,WANG Zengcai,ZHANG Wanzhi.Coal-rock interface recognition method based on EMD and neural network[J].Journal of Vibration,Measurement&Diagnosis,2012,32(4):586-590.
    [6] XIE Jianlin,XU Jialin.Ground penetrating radarbasedexperimentalsimulationandsignal interpretation on roadway roof separation detection[J].Arabian Journal of Geosciences,2014,8(3):1-8.
    [7]王连成.矿井地质雷达的方法及应用[J].煤炭学报,2000,25(1):7-11.WANG Liancheng.Method and application of mine geological radar[J].Journal of China Coal Society,2000,25(1):7-11.
    [8] STRANGE A,RALSTON J C,CHANDRAN V.Application of ground penetrating radar technology for near-surface interface determination in coal mining[C]//International Conference on Acoustics,Speech,and Signal Processing,Piscataway,2005:701-704.
    [9]李亮,王昕,胡克想,等.探地雷达探测煤岩界面的方法与试验[J].工矿自动化,2015,41(9):8-11.LI Liang,WANG Xin,HU Kexiang,et al.Coal-rock interface detection method using ground penetrating radar and its experiment[J].Industry and Mine Automation,2015,41(9):8-11.
    [10]王昕,丁恩杰,胡克想,等.煤岩散射特性对探地雷达探测煤岩界面的影响[J].中国矿业大学学报,2016,45(1):34-41.WANG Xin,DING Enjie,HU Kexiang,et al.Effects of coal-rock scattering characteristics on the GPR detection of coal-rock interface[J].Journal of China University of Mining&Technology,2016,45(1):34-41.
    [11]景晓军,蔡安妮,孙景鳌.一种基于二维最大类间方差的图像分割算法[J].通信学报,2001,22(4):71-76.JING Xiaojun,CAI Anni,SUN Jing'ao.Image segmentation based on 2D maximum between-cluster variance[J].JournalofChinaInstituteof Communications,2001,22(4):71-76.
    [12]黄韶杰.基于灰度阈值法的煤岩界面识别研究[J].工矿自动化,2013,39(5):52-54.HUANG Shaojie.Research of coal-rock interface identification based on gray threshold method[J].Industry and Mine Automation,2013,39(5):52-54.
    [13]徐宏武.煤层电性参数测试及其与煤岩特性关系的研究[J].煤炭科学技术,2005,33(3):42-46.XU Hongwu.Measurement and test of seam electric parameter and study on relationship between seam electric parameter and coal petrology characteristics[J].Coal Science and Technology,2005,33(3):42-46.