煤矸石识别方法研究现状与展望
Research status of coal-gangue identification method and its prospect
【索引】曹现刚,李莹,王鹏,等.煤矸石识别方法研究现状与展望[J].工矿千亿国际app下载,2020,46(1):38-43.
【Reference】CAO Xiangang,LI Ying,WANG Peng,et al.Research status of coal-gangue identification method and its prospect[J].Industry and Mine Automation,2020,46(1):38-43.
【DOI】13272/j.issn.1671-251x.2019060005
【作者】曹现刚,李莹,王鹏,吴旭东
【Author】CAO Xiangang,LI Ying,WANG Peng,WU Xudong
【作者机构】西安科技大学 机械工程学院, 陕西 西安710054
【Unit】College of Mechanical Engineering, Xi'an University of Science and Technology, Xi’an 710054, China
【摘要】从煤矸石识别特征出发,对煤矸石识别方法的研究现状进行了总结,列举了密度识别法、硬度识别法等以密度、硬度等为识别特征的煤矸石识别方法,以及射线识别法、图像识别法等以灰度、纹理为识别特征的煤矸石识别方法的代表性研究成果,并对比了各种识别方法的特点。对煤矸石识别方法的研究方向和途径进行了展望,提出应全面分析、理解煤矸石的特征差异,研究符合煤矿绿色发展要求的煤矸石识别方法、快速高效的煤矸石图像识别方法、融合和创新现有方法的新型煤矸石高效识别方法。
【Abstract】According to coal-gangue identification features, research status of coal-gangue identification method was summarized, and representative research achievements of some coal-gangue identification methods were enumerated, such as density identification method and hardness identification method, which were characterized by density and hardness, as well as ray identification method and image identification method, which were characterized by gray scale and texture. Characteristics of various identification methods were compared. Research directions and ways of coal-gangue identification method were prospected, namely researching coal-gangue identification methods which met green development requirements of coal mine, fast and efficient coal-gangue image identification method and new efficient coal-gangue identification method fusing and innovating existing methods on basis of full analysis and understanding feature differences between coal and gangue.
【关键词】 煤矸石分选; 煤矸石识别; 识别特征; 密度识别; 硬度识别; 射线识别; 图像识别
【Keywords】coal-gangue separation; coal-gangue identification; identification feature; density identification; hardness identification; ray identification; image identification
【文献出处】工矿千亿国际app下载,2020年1期
【基金】陕西省重点研发计划项目(2018GY-160);陕西省教育厅科学研究计划项目(18JC022)
【分类号】TD94
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