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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的性能分析及其在自动调整采煤机臂中的应用

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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 γ-ray has a very practical advantage. Based on the relationship between the attenuation of the natural γ-ray passing through the coal seam and the thickness of the coal seam, the mathematical model of the attenuation of the natural γ-ray penetrating coal seam is established. By comparing the attenuation intensity of γ-ray with or without brackets, it is verified that the hydraulic girders will absorb some natural γ-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 γ-ray seam thickness sensor. The sensor has the function of indicating the thickness of the coal seam, measuring the natural γ-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升技术的核心。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厚度剩余煤层检测方法,天然γ射线具有非常实际的优势。基于通过煤层的天然γ射线的衰减与煤层的厚度之间的关系,建立了天然γ射线穿透煤层的衰减的数学模型。通过将γ射线的衰减强度与括号或没有括号的比较,验证液压梁将吸收一些天然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,最终开发天然γ射线缝厚传感器。传感器具有指示煤层的厚度,测量自然γ射线强度的功能,并存储和处理数据。

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