煤岩显微组分自动识别技术现状及关键问题分析
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摘要
回顾煤岩显微组分自动识别的历史及技术现状,探讨了基于反射率和形态学参数的煤岩组分分类方案及其优缺点,对目前煤岩显微组分形态学参数的研究进行分析,并指出图像法煤岩组分自动识别技术难点,重点探讨了煤中壳质组的准确识别、煤中矿物质对有机显微组分识别的干扰、高变质煤组分各向异性对识别的影响、混煤煤岩组分的准确识别、识别模式和识别流程的建立等问题。主要研究结论如下:利用图像处理技术并结合煤岩显微组分的反射率和形态学参数,此为实现煤岩组分自动识别的发展方向。随着数字图像处理技术的发展,对煤岩组分形态参数的表征可以做到定量化和与位置相关联,目前已具备解决煤岩组分自动识别的外部条件。鉴于目前图像法煤岩组分自动测试存在壳质组难以准确识别等问题,建议今后应结合煤岩组分的反射率和形貌特征建立各显微组分合适的识别流程。
The history and technology status of automatic coal maceral determination were reviewed in this article.The advantages and disadvantages of the coal maceral classification,based on the reflectivity and morphological parameters,were discussed.The current studies on morphological parameters of coal macerals were indicated,and the difficulties in automatic determination of maceral by image processing method were analyzed.The accurate recognition of liptinite groups,the interference of coal minerals on organic maceral identification,the anisotropy effect of high metamorphic coal on identification,the accurate identification of blending coal maceral,and the establishments of identification modes were discussed.What can be concluded is that the image processing technology,based on the reflectivity and morphology parameters of coal maceral,is the developing direction of automatic coal maceral determination.As the developments of digital image processing technology,the external condition has been matured,with quantification of coal maceral morphologic parameters and linking between morphology and location.As problems such as accurate identification of liptinite group have been encountered by the automatic coal maceral determination based on image processing method at present,it is suggested that the reflectivity and morphologic parameters should be combined to establish the suitable determination pattern for each coal maceral.
The history and technology status of automatic coal maceral determination were reviewed in this article.The advantages and disadvantages of the coal maceral classification,based on the reflectivity and morphological parameters,were discussed.The current studies on morphological parameters of coal macerals were indicated,and the difficulties in automatic determination of maceral by image processing method were analyzed.The accurate recognition of liptinite groups,the interference of coal minerals on organic maceral identification,the anisotropy effect of high metamorphic coal on identification,the accurate identification of blending coal maceral,and the establishments of identification modes were discussed.What can be concluded is that the image processing technology,based on the reflectivity and morphology parameters of coal maceral,is the developing direction of automatic coal maceral determination.As the developments of digital image processing technology,the external condition has been matured,with quantification of coal maceral morphologic parameters and linking between morphology and location.As problems such as accurate identification of liptinite group have been encountered by the automatic coal maceral determination based on image processing method at present,it is suggested that the reflectivity and morphologic parameters should be combined to establish the suitable determination pattern for each coal maceral.
引文
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[21]王培珍,杜存铃,孙瑞,等.煤岩显微组分中渗出沥青体角点特征检测方法[J].安徽工业大学学报(自然科学版),2015,32(4):376-380.
[22]G.J.Pitt,k.M.Dawson.Some considerations involved in the automation of reflectance measurement on coal[J].Journal of Microscopy,1979,116(3):321-328.
[23]丁华,张宇宏,白向飞.煤中常见矿物形态特征参数初步研究[J].煤质技术,2007(4):12-15.
[24]丁华,张宇宏,白向飞.煤中有机组分自动识别初步研究[J].煤质技术,2009(1):1-5.
[25]David P,Fermont WJJ.Determination of coal maceral composition by means of colour image analysis[J].Fuel Processing Technology,1993,36(1-3):9-15.
[26]Cloke M,Lester E,Allen M,et al.Automated maceral analysis using fluorescence microscopy and image analysis[J].Fuel,1995,74(5):659-669.
[27]韩德馨.中国煤岩学[M].北京:中国矿业大学出版社,1996:311-312.
[2]白向飞.焦化生产中煤岩学应用现状及对策分析[J].煤质技术,2009(2):1-3.
[3]周师庸,赵俊国.炼焦煤性质与高炉焦炭质量[M].北京:冶金工业出版社,2005:1-8.
[4]白向飞.煤岩自动测试技术现状及存在的问题[J].燃料与化工,2007,38(4):4-6.
[5]白向飞.煤岩自动测试技术路线及关键问题分析[J].煤质技术,2011,42(4):6-12.
[6]A.Davis,F.J.Vastola.Developments in automated reflectance microscopy of coal[J].Journal of Microscopy,1977,109(1):3-12.
[7]A.Davis,K.W.Kuehn,D.H.Maylotte,et al.Mapping of polished coal surfaces by automated reflectance microscopy[J].Journal of Microscopy,1983,132(3):297-302.
[8]白向飞,王越.基于图像法的煤岩自动测试技术开发及展望[J].中国焦化业,2015(3):20-22.
[9]武琳琳.Gamma设置对煤岩自动测试精度影响的实验研究[J].煤质技术,2018(1):42-44.
[10]王越,白向飞,张宇宏,等.煤岩自动测试系统图像灰度与反射率关系研究[J].煤炭转化,2014,37(2):25-27.
[11]E.Lester,M.Allen,M.Cloke,et al.An automated image analysis system for major maceral group analysis in coals[J].Fuel,1994,73(11):1729-1734.
[12]E.Lester,D.Watts,M.Cloke.A novel automated image analysis method for maceral analysis[J].Fuel,2002,81:2209-2217.
[13]G.O'Brien,B.Jenkins,J.Esterle,et al.Coal characterisation by automated coal petrography[J].Fuel,2003,82(9):1067-1073.
[14]G.O'Brien,B.Jenkins,P.Ofori,et al.Semiautomated petrographic assessment of coal by coal grain analysis[J].Minerals Engineering,2007,20:428-434.
[15]王文韬,胡德生,尹文义,等.数字化煤岩分析系统的设计与实现[J].中国图像图形学报,2003,8(7):783-787.
[16]胡德生,王文韬,刘其真.数字化自动煤岩分析技术的开发[J].钢铁,2005,40(7):17-21.
[17]王越,武琳琳,张宇宏,等.图像法新型煤岩自动测试系统关键技术及测试精度分析[J].煤质技术,2017(S1):56-60.
[18]王培珍,殷子?,丁海涛,等.基于小波变换的煤岩惰质组显微图像分类[J].安徽工业大学学报(自然科学版),2016,131(3):278-283.
[19]王培珍,丁海涛,刘纯利,等.基于结构元的煤显微图像轮廓提取算法[J].煤炭学报,2014,39(S1):285-288.
[20]王培珍,董双,张代林,等.基于圆形LBP均匀模式的煤镜质体显微组分纹理分析[J].安徽工业大学学报(自然科学版),2014,31(2):147-151.
[21]王培珍,杜存铃,孙瑞,等.煤岩显微组分中渗出沥青体角点特征检测方法[J].安徽工业大学学报(自然科学版),2015,32(4):376-380.
[22]G.J.Pitt,k.M.Dawson.Some considerations involved in the automation of reflectance measurement on coal[J].Journal of Microscopy,1979,116(3):321-328.
[23]丁华,张宇宏,白向飞.煤中常见矿物形态特征参数初步研究[J].煤质技术,2007(4):12-15.
[24]丁华,张宇宏,白向飞.煤中有机组分自动识别初步研究[J].煤质技术,2009(1):1-5.
[25]David P,Fermont WJJ.Determination of coal maceral composition by means of colour image analysis[J].Fuel Processing Technology,1993,36(1-3):9-15.
[26]Cloke M,Lester E,Allen M,et al.Automated maceral analysis using fluorescence microscopy and image analysis[J].Fuel,1995,74(5):659-669.
[27]韩德馨.中国煤岩学[M].北京:中国矿业大学出版社,1996:311-312.
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