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大型煤炭企业煤质分析全过程信息化研究
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  • 英文篇名:Informationalized Study on Full Process of Coal Quality Analysis in Large Coal Enterprise
  • 作者:张小艳 ; 蔡攀亮
  • 英文作者:ZHANG Xiao-yan;CAI Pan-liang;School of Computer Science and Technology,Xi'an University of Science and Technology;
  • 关键词:煤质分析 ; 煤层三维模型 ; 多元线性回归 ; RBF神经网络 ; 四层体系架
  • 英文关键词:coal quality analysis;;three dimensional model of the coal seam;;multiple linear regression;;RBF neural network;;four-layer architecture
  • 中文刊名:MKSJ
  • 英文刊名:Coal Engineering
  • 机构:西安科技大学计算机科学与技术学院;
  • 出版日期:2013-10-20
  • 出版单位:煤炭工程
  • 年:2013
  • 期:v.45;No.423
  • 语种:中文;
  • 页:MKSJ201310044
  • 页数:3
  • CN:10
  • ISSN:11-4658/TD
  • 分类号:138-140
摘要
针对大型煤炭企业的特点,分析煤质分析全过程业务流程,提出了一种基于B/S的四层体系架构实现煤质分析全过程信息化。从煤层煤样煤质基础数据录入、工作面煤质数据图形化显示到毛煤及商品煤的煤质月度分析文档生成,各个阶段对煤质进行分析。并采用多元线性回归与RBF神经网络相结合的方法有效的提高了传统煤质预测的准确性,为大型煤炭企业煤质信息化建设提供了有效的解决方案。
        According to the characteristics of large scale coal enterprises,the business process of coal quality analysis was analyzed,a four-layer architecture based on B/S was proposed to realize the informatization of coal quality analysis process.Coal quality was analyzed stage by stage,from basic data entry of coal sample,graphical displaying of the work face coal quality data to generating the monthly coal quality analysis document of run-mine coal and commercial coal.A method combing multiple linear regression and RBF neural network was applied to improve the accuracy of the prediction,and to provide an effective solution for informatization of coal quality for large-scale coal enterprises.
引文
[1]匡亚莉,刘怀宇,陈雪,等.井下毛煤煤质预测与回采断面素描图数字化绘制[J].选煤技术,2010,(6):69~74.
    [2]李亚芳.预测预报在煤质管理中应用[J].煤质技术,2003,(5):3~5.
    [3]曹蓉.煤矿采煤工作面煤质信息的可视化模型研究[D].西安:西安科技大学,2011.
    [4]张小艳,宋廉.神华宁煤集团煤质管理信息系统的研究[J].煤炭工程,2010,(12):121~123.
    [5]常齐,钟勇.基于VML与SVG的矢量图形构架[J].计算机应用,2009,29(6):288~290.
    [6]Zhang Xiao-yan,Shi Gui-biao.Research on visualization of coal quality information of coal face[A].IEEE International Conference on Computer Science and Automation Engineering[C].Zhangjiajie,2012:355~357.

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