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首页> 外文期刊>Journal of electrical and computer engineering >Performance Analysis of Natural γ-Ray Coal Seam Thickness Sensor and Its Application in Automatic Adjustment of Shearer's Arms
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Performance Analysis of Natural γ-Ray Coal Seam Thickness Sensor and Its Application in Automatic Adjustment of Shearer's Arms

机译：天然γ射线煤层厚度传感器性能分析及其在自动调整采煤机臂中的应用

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摘要

The technology of coal-rock interface recognition is the core of realizing the automatic heightening technology of shearer's rocker. Only by accurately and quickly identifying the interface of coal and rock can we realize the fully automatic control of shearer. As the only one used in the actual detection of coal mining machine drum cutting coal seam after the thickness of the remaining coal seam detection method, natural gamma-ray has a very practical advantage. Based on the relationship between the attenuation of the natural gamma-ray passing through the coal seam and the thickness of the coal seam, the mathematical model of the attenuation of the natural gamma-ray penetrating coal seam is established. By comparing the attenuation intensity of gamma-ray with or without brackets, it is verified that the hydraulic girders will absorb some natural gamma-rays. Finally, this paper uses the ground simulation experiment and the field experiment to verify the correctness of the mathematical model and finally develop the natural gamma-ray seam thickness sensor. The sensor has the function of indicating the thickness of the coal seam, measuring the natural gamma-ray intensity, and storing and processing the data.
机译：煤岩界面识别技术是实现采煤机摇杆自动提高技术的核心。只有通过准确和快速地识别煤炭和岩石的界面，我们只能实现采煤机的全自动控制。作为唯一用于实际检测的煤矿机鼓切割煤层后剩余煤层检测方法，天然伽玛射线具有非常实际的优势。基于通过煤层的天然伽马射线的衰减与煤层厚度之间的关系，建立了天然伽马射线渗透煤层的衰减的数学模型。通过比较γ射线的衰减强度与或没有括号，验证液压梁将吸收一些天然的γ射线。最后，本文采用地面仿真实验和现场实验来验证数学模型的正确性，最后开发天然伽马射线缝厚传感器。传感器具有指示煤层厚度的功能，测量天然伽马射线强度，并存储和处理数据。

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  • 来源
    《Journal of electrical and computer engineering》 |2020年第1期|5986013.1-5986013.10|共10页
  • 作者

    Yang Zengfu; Wang Zengcai; Yan Ming;

  • 作者单位

    CHN Energy Shendong Technol Res Inst Shenmu 719300 Peoples R China;

    Shandong Univ Coll Mech Engn Jinan 250061 Peoples R China;

    Shandong Univ Coll Mech Engn Jinan 250061 Peoples R China;

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