|本期目录/Table of Contents|

[1]周西华,徐丽娜,宋东平,等.大同矿区煤的导热系数灰色关联分析及预测[J].中国安全生产科学技术,2016,12(2):78-82.[doi:10.11731/j.issn.1673-193X.2016.02.014]
 ZHOU Xihua,XU Lina,SONG Dongping,et al.Grey relational analysis and prediction on thermal conductivity of coal in Datong mining area[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(2):78-82.[doi:10.11731/j.issn.1673-193X.2016.02.014]
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大同矿区煤的导热系数灰色关联分析及预测
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
12
期数:
2016年2期
页码:
78-82
栏目:
现代职业安全卫生管理与技术
出版日期:
2016-02-29

文章信息/Info

Title:
Grey relational analysis and prediction on thermal conductivity of coal in Datong mining area
文章编号:
1673-193X(2016)-02-0078-05
作者:
周西华12 徐丽娜12 宋东平12李艳飞12
1.辽宁工程技术大学 安全科学与工程学院,辽宁 阜新 123000;
2.矿山热动力灾害与防治教育部重点实验室,辽宁 阜新 123000
Author(s):
ZHOU Xihua12 XU Lina12 SONG Dongping12 LI Yanfei12
1. School of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning 123000, China;
2. Key Laboratory of Mine Thermodynamic Disasters and Control of Ministry of Education, Fuxin Liaoning 123000, China
关键词:
导热系数灰色系统灰色关联分析GM(14)模型
Keywords:
thermal conductivity grey system grey relational analysis GM(14) model
分类号:
X936
DOI:
10.11731/j.issn.1673-193X.2016.02.014
文献标志码:
A
摘要:
为分析煤质指标及密度对导热系数的影响作用,选取了山西大同矿区的不同煤质煤样,进行导热系数测定实验,应用灰色系统理论对导热系数与影响因素进行灰色关联分析,建立导热系数与主要影响因素的GM(1,4)灰色预测模型,进行导热系数预测。结果表明:固定碳、密度和水分是影响煤导热系数的主要因素;根据得出的主要影响因素建立的GM(1,4)预测模型平均相对误差为4.5%,预测精度较高,能够用于导热系数的预测。
Abstract:
In order to analyze the influence of coal quality indexes and density on thermal conductivity, the measurement experiments of thermal conductivity were conducted by selecting the coal samples with different coal quality from Shanxi Datong mining area. The gray system theory was applied to conduct grey relational analysis on thermal conductivity and influential factors. A GM(1,4) grey prediction model of thermal conductivity and the primary influential factors was established to predict the thermal conductivity. The results showed that the primary influential factors of coal thermal conductivity were fixed carbon, density and moisture. The average relative error of the GM(1,4) grey prediction model based on the primary influential factors was 4.5%. The prediction accuracy was higher, and it can be applied in the prediction of thermal conductivity.

参考文献/References:

[1]Hofmeister A M. Thermal diffusivity of garnets at high temperature [J]. Phys Chem Miner, 2006, 33(1):45-62.
[2]彭担任,赵全富,胡兰文,等. 煤与岩石的导热系数研究[J]. 矿业安全与环保,2000,27(6):16-18. PENG Danren, ZHAO Quanfu, HU Lanwen, et al. Study on thermal conductivity of coal and rock[J].Mining Safety and Environmental Protection,2000,27(6):16-18.
[3]唐明云,张国枢,张朝举,等. 平行热线法测定松散煤体导热系数试验[J]. 矿业安全与环保,2006,33(5):13-15. TANG Mingyun, ZHANG Guoshu, ZHANG Chaoju, et al. Parallel hot-wire method determination test of thermal conductivity in loose coal [J]. Mining Safety and Environmental Protection, 2006,33(5):13-15.
[4]岳高伟,李豪君,王兆丰,等. 松散煤体导热系数的温度及粒度效应[J].中国安全生产科学技术,2015,11(2):17-22. YUE Gaowei, LI Haojun, WANG Zhaofeng, et al. Effect of temperature and particle size of thermal conductivity in loose coal[J].Journal of Safety Science and Technology, 2015,11(2):17-22.
[5]GB/T212-2008,煤的工业分析方法[S].2008.
[6]张秀云. 基于热重方法的自动煤质工业分析仪研究[J]. 民营科技,2014,(2):56-59. ZHANG Xiuyun. Automatic proximate analyzer for coal based on thermogravimetric analysis[J]. Private technological, 2014,(2):56-59.
[7]于洪涛,吴泽宇.灰色关联分析在南水北调中线澧河水质评价中的应用[J].节水灌溉,2010(3):39-41. YU Hongtao, WU Zeyu. Application of grey relation analysis method in water quality evaluation of li river for south-to-north water diversion project[J].Water Saving Irrigation, 2010(3):39-41.
[8]刘思峰,郭天榜,党耀国. 灰色系统理论及其应用[M].北京:科学出版社.1999.
[9]邓聚龙.灰理论基础[M].武汉:华中科技大学出版社,2002:218-227,251.
[10]邓聚龙.灰预测与灰决策[M].武汉:华中科技大学出版社,2002.
[11]李宏艳.关于灰色关联度计算方法的研究[J].系统工程与电子技术,2004,26(9):1231-1234. LI Hongyan. Study on the calculation method of grey relationship degree[J] .Systems Engineering and Electronics, 2004,26(9):1231-1234.
[12]刘璐,肖泽南,李彦军,等.农村火灾灰色预测模型及其应用[J].安全与环境学报,2010,10(2):162-165. LIU Lu, XIAO Zenan, LI Yanjun, et al. Renovated gray prediction model for fire damage in the rural area and its application[J]. Journal of Safety and Environment, 2010,10(2):162-165.
[13]邓聚龙.灰色系统理论教程[M].武汉:华中科技大学出版社,1990.

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备注/Memo

备注/Memo:
国家自然科学基金项目(51274115,51274113);辽宁省教育厅基金(L2012122)
更新日期/Last Update: 2016-03-11