基于有效介质理论的煤岩界面识别方法研究
发布时间：2018-08-22 07:53
【摘要】：为解决目前依靠人工进行煤岩界面识别存在的问题,研究煤岩界面的自动识别技术,依据煤岩介电特性的差异,利用Bruggeman有效介质理论,建立基于煤含量检测的煤岩分界模型,并以煤岩混合介质粉末为例,进行试验验证。通过模拟煤含量实时变化的煤岩混合介质,实时地获得煤岩混合介质的相对介电常数,利用上述模型进行混合物煤含量的计算,并与阈值进行比较,判定采煤机截割状态。测试结果表明:在0.01~30 MHz的检测频率内,煤岩混合介质的煤含量均能通过此方法计算得到,在0.5~30 MHz内,理论煤含量与实际煤含量的相对误差较小,平均可控制在2.60%以下。该模型的计算结果均可以较准确地识别煤岩界面,为实现井下无人化开采提供一种新的煤岩识别方法。
[Abstract]:In order to solve the problems existing in coal and rock interface identification by hand at present, the automatic identification technology of coal and rock interface is studied. According to the difference of coal and rock dielectric characteristics, a coal rock boundary model based on coal content detection is established by using Bruggeman effective medium theory. Taking the mixed medium powder of coal and rock as an example, the test is carried out. The relative dielectric constant of coal-rock mixing medium is obtained in real time by simulating the coal content changing in real time. The mixture coal content is calculated by using the above model and compared with the threshold value to determine the cutting state of shearer. The test results show that in the detection frequency of 0.01 ~ 30 MHz, the coal content in the mixed medium can be calculated by this method. Within 0.5 ~ 30 MHz, the relative error between the theoretical coal content and the actual coal content is relatively small, and the average can be controlled below 2.60%. The calculated results of the model can identify the coal and rock interface more accurately, and provide a new method of coal and rock recognition for the realization of downhole unmanmade mining.
【作者单位】： 中国矿业大学信息与控制工程学院;矿山互联网应用技术国家地方联合工程实验室;中国矿业大学物联网(感知矿山)研究中心;
【基金】：国家重点基础研究发展计划(973计划)资助项目(2014CB046305) 江苏省产学研联合创新资金前瞻性联合研究资助项目(BY2015023-04) 江苏省研究生培养创新工程资助项目(KYLX_1385)
【分类号】：TD67
，
本文编号：2196474
[Abstract]:In order to solve the problems existing in coal and rock interface identification by hand at present, the automatic identification technology of coal and rock interface is studied. According to the difference of coal and rock dielectric characteristics, a coal rock boundary model based on coal content detection is established by using Bruggeman effective medium theory. Taking the mixed medium powder of coal and rock as an example, the test is carried out. The relative dielectric constant of coal-rock mixing medium is obtained in real time by simulating the coal content changing in real time. The mixture coal content is calculated by using the above model and compared with the threshold value to determine the cutting state of shearer. The test results show that in the detection frequency of 0.01 ~ 30 MHz, the coal content in the mixed medium can be calculated by this method. Within 0.5 ~ 30 MHz, the relative error between the theoretical coal content and the actual coal content is relatively small, and the average can be controlled below 2.60%. The calculated results of the model can identify the coal and rock interface more accurately, and provide a new method of coal and rock recognition for the realization of downhole unmanmade mining.
【作者单位】： 中国矿业大学信息与控制工程学院;矿山互联网应用技术国家地方联合工程实验室;中国矿业大学物联网(感知矿山)研究中心;
【基金】：国家重点基础研究发展计划(973计划)资助项目(2014CB046305) 江苏省产学研联合创新资金前瞻性联合研究资助项目(BY2015023-04) 江苏省研究生培养创新工程资助项目(KYLX_1385)
【分类号】：TD67
，
本文编号：2196474
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