School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), 305, General Building, Haidian District, Beijing, 100089, China.
State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing, 100089, China.
Environ Sci Pollut Res Int. 2023 Feb;30(6):14091-14103. doi: 10.1007/s11356-022-24866-w. Epub 2022 Dec 26.
Top coal caving is a process for the rational extraction of large amounts of coal resources. However, this process readily causes release of excessive amounts of gangue during the coal release process. The conventional technique, which involves visual inspection, is not only labor-intensive but also can introduce inaccuracies. Coal and gangue identification methods used during the top coal caving process are reviewed herein. The methods developed and studied over the last 20 years, such as gamma identification, acoustic identification, radar detection, vibration technology, image identification, and infrared positioning, are described separately, and their principles for use are explained. The advantages and disadvantages of these methods are analyzed, and an evaluation index for coal gangue identification methods is established by using hierarchical analysis (AHP). The results indicate that the γ-ray method is optimal to use under the current system. A future gangue identification method is conceived and proposed, which has reference value for the research and applications of gangue identification technology.
综采放顶煤是一种合理开采大量煤炭资源的方法。然而，该方法在煤炭释放过程中极易导致大量矸石的释放。传统的目视检查技术不仅劳动强度大，而且容易引入误差。本文回顾了综采放顶煤过程中的煤矸识别方法。分别描述了过去 20 年来开发和研究的伽马识别、声学识别、雷达探测、振动技术、图像识别和红外定位等方法，并解释了其使用原理。分析了这些方法的优缺点，并利用层次分析法（AHP）建立了煤矸石识别方法的评价指标。结果表明，在现有系统下，γ射线方法是最优的选择。提出了一种未来的矸石识别方法，对矸石识别技术的研究和应用具有参考价值。
