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Radiation characteristics of natural gamma-ray from coal and gangue for recognition in top coal caving

机译:煤和石中天然伽玛射线的辐射特征可识别顶煤

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摘要

Recognition of coal and gangue (roof rock) is a key technology to realize fully mechanized top coal caving automated mining. This paper proposes to detect the instantaneous refuse content of drawn coal and gangue mixture during top coal caving by using natural gamma-ray technology. The generating environment of coal and rock seams, the distribution characteristics of natural gamma ray from coal and roof-rock and the principle of coal-gangue recognition using natural gamma-ray method were analyzed. The natural gamma ray radiation characteristics of coal and roof-rock seams from seven different typical coal mine areas who has thick coal seams in China have been researched, and a connection between radiation intensity and refuse content was set up. The experiments on the mixed condition of roof-rock drawn from caving opening in the caving process of fully-mechanized top coal caving working face was taken and the radiative signals was real-time detected by using the self-developed coal-gangue recognition experimental system. The experiments results demonstrate the feasibility of using natural gamma-ray technology to perform real-time detection of refuse content of drawn coal and gangue mixture and the availability of self-developed coal-gangue recognition detector.
机译:煤and石(屋面岩石)的识别是实现综放开采自动化的关键技术。本文提出了利用自然伽马射线技术检测放顶煤过程中抽出煤和石混合物的瞬时垃圾含量。分析了煤与岩缝的产生环境,煤与顶岩天然伽玛射线的分布特征以及利用自然伽玛射线方法识别煤gang石的原理。研究了来自中国七个煤层较厚的典型煤矿区的煤层和顶板煤层的自然γ射线辐射特征,建立了辐射强度与垃圾含量之间的联系。进行了综放工作面放顶放放顶煤混合条件的试验,并利用自行开发的煤gang石识别实验系统实时检测了辐射信号。 。实验结果证明了使用自然伽马射线技术实时检测抽出的煤and石混合物中垃圾含量的可行性以及自行开发的煤-石识别检测仪的可行性。

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