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Guidance method to use mixed coal in blending for coking
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作者 YAO Boyuan Technology Institute of HaiNan University,Haikou 570228,Hainan,China 《Baosteel Technical Research》 CAS 2010年第S1期3-,共1页
Based on the principle that the adaptation can be reflected by the overlap of reflectance distribution peaks,the effect of various types mixed coal for coking is analyzed.Based on the action of the vitrinite of differ... Based on the principle that the adaptation can be reflected by the overlap of reflectance distribution peaks,the effect of various types mixed coal for coking is analyzed.Based on the action of the vitrinite of different reflectance range and the adaptation,a new method for guidance blending coal is established.Through simulation,blending coal using the software of HD automatic microscope photometer,makes the synthetic blending coal reflectance distribution map to nothing notch wide single peak flat-shaped symmetrical distribution,blending coal random reflectance meets 1.1 - 1.2,the standard deviation meets 0.35 - 0.4.It is based on the conditions that active component in the blending is excessive.Using this method,the mixed coal can be used as much as possible and play a positive role.The problem about implementation process is discussed. 展开更多
关键词 mixed coal synthesis reflectance distribution map blending coal
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放顶煤工作面煤矸混合度自动识别研究进展 被引量:12
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作者 李良晖 《煤炭工程》 北大核心 2017年第10期30-34,共5页
自动化放煤是实现自动化综放开采的关键技术,放煤过程中对于煤矸混合度的自动识别是研究的难点。文章依次论述了基于自然射线、声波信号、图像的放顶煤工作面煤矸混合度识别技术的研究进展,提出了基于图像的煤矸混合度识别技术是未来的... 自动化放煤是实现自动化综放开采的关键技术,放煤过程中对于煤矸混合度的自动识别是研究的难点。文章依次论述了基于自然射线、声波信号、图像的放顶煤工作面煤矸混合度识别技术的研究进展,提出了基于图像的煤矸混合度识别技术是未来的发展方向,以及综采工作面的煤岩界面的识别技术及分选中的煤矸识别技术的研究进展,总结了为放顶煤工作面煤矸混合度识别提供的宝贵经验。提出了将深度学习理论引入到煤矸混合度识别研究中,为人工智能技术在采矿行业中的应用提供了新思路,对提高综放开采顶煤回收率、提高煤质、实现工作面自动化有重要意义。 展开更多
关键词 放顶煤开采 煤矸混合度 自动识别 人工智能
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