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程园新, 韩楠楠, 丁恩杰, 赵端, 王昕. 基于有效介质理论的煤岩界面识别方法研究[J]. 煤炭科学技术, 2017, (10).
引用本文: 程园新, 韩楠楠, 丁恩杰, 赵端, 王昕. 基于有效介质理论的煤岩界面识别方法研究[J]. 煤炭科学技术, 2017, (10).
CHENG Yuanxin HAN Nannan DING Enjie ZHAO Duan WANG Xin, . Study on recognition method of coal and rock interface based on effective medium theory[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (10).
Citation: CHENG Yuanxin HAN Nannan DING Enjie ZHAO Duan WANG Xin, . Study on recognition method of coal and rock interface based on effective medium theory[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (10).

基于有效介质理论的煤岩界面识别方法研究

Study on recognition method of coal and rock interface based on effective medium theory

  • 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 present problems existed in the coal-rock interface recognition by labor, an automatic recognition technology of the coal-rock interfa ce was studied. According to the differences of the coal and rock dielectric characteristics, the Bruggeman effective medium theory was applied to establish the coal-roc k boundary model based on the coal content detection. Based on the coal-rock mixed medium powder as an example, a test was conducted for the verification. Witha s imulation on the real-time varied coal-rock mixed medium of the coal content, the relative dielectric constants of the coal-rock mixed medium were real timely obtained. The model was applied to the calculation on the coal content of the mixture and a comparison to the threshold value was conducted. Thus the cutting status of the coal shearer was judged. The test results showed that within the test frequency of 0.01 ~ 30 MHz, the coal content of the coal-rock mixed medium all could pass the obtaine d value calculated with the method. Within the frequency of 0.5 ~ 30 MHz, there would be a small relative error between the theoretical coal content and the actual coal content and could be controlled below 2.60% in average. The calculation results of the model all could accurately recognize the coal-rock interface and could provide a new coal-rock recognition method to realize a minerless mining in the underground mine.

     

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