基于熵权的刨煤机适刨性灰色关联多级模糊综合评价
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摘要
针对薄煤层刨煤机开采适应性和实测困难问题,运用熵值法和灰色关联理论对影响刨煤机适刨性的影响因素进行多级多层分解,以目标系列之间的关联度作为目标函数,根据归一公式进行量化递归运算,分别计算出各级的隶属函数,进而建立薄煤层刨煤机适刨性的灰色关联决策模型,并应用于实际分析。研究结果表明,该评价方法可行,适刨性预测结果与实际测试结果一致。
The evaluation of the thin coal mining plow equipment based on the traditional method suffers from its subjective nature and measurement difficulties.This paper proposes an assessment method of the plow based on the entropy value law and the gray level correlation theory,and the recursive operation is used according to the normalized formula,to calculate membership functions of all levels separately,to establish the gray level correlation decision-making model for the plow.The results show that the evaluation method is feasible,and the plow planning predicted results agree very well with the actual test results.Taking Shaanxi province Nanliang mine as an example,a three-level evaluation model is built for Shanxi province Nanliang mine,for the multi-level fuzzy calculation.The calculation results show that the plow adaptive multi-level fuzzy evaluation analysis system is effective for China coal seam.
The evaluation of the thin coal mining plow equipment based on the traditional method suffers from its subjective nature and measurement difficulties.This paper proposes an assessment method of the plow based on the entropy value law and the gray level correlation theory,and the recursive operation is used according to the normalized formula,to calculate membership functions of all levels separately,to establish the gray level correlation decision-making model for the plow.The results show that the evaluation method is feasible,and the plow planning predicted results agree very well with the actual test results.Taking Shaanxi province Nanliang mine as an example,a three-level evaluation model is built for Shanxi province Nanliang mine,for the multi-level fuzzy calculation.The calculation results show that the plow adaptive multi-level fuzzy evaluation analysis system is effective for China coal seam.
引文
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[2]刘栋.极薄煤层和薄煤层的采煤工艺[J].煤炭技术,2008,27(6):66-67.Liu Dong.Coal Technology,2008,27(6):66-67.
[3]毛君,张强,郝志勇,等.刨煤机,螺旋钻采煤机,连续采煤机成套装备[M].北京:中国矿业大学出版社,2008:1-20.Mao Jun,Zhang Qiang,Hao Zhiyong,et al.Plow,auger shearer,continuous miner outfit[M].Beijing:China University of Mining Press,2008:1-20.
[4]王国法.薄煤层安全高效开采成套装备研发及应用[J].煤炭科学技术,2009,37(9):86-89.Wang Guofa.Coal Science and Technology,2009,37(9):86-89.
[5]徐宗林.螺旋钻采煤机在薄煤层开采中的应用实践[J].煤炭科学技术,2007,35(3):31-32.Xu Zonglin.Coal Science and Technology,2007,35(3):31-32.
[6]刘占胜,马英.国内外刨煤机发展现状及前景展望[J].煤矿机械,2006,27(10):1-3.Liu Zhansheng,Ma Ying.Coal Mine Machinery,2006,27(10):1-3.
[7]刘过兵,陈胜利.刨煤机采煤综合参数优化研究[J].矿山压力与顶板管理,2003,10(S3):61-65.Liu Guobing,Chen Shengli.Ground Pressure and Strata Control,2003,10(S3):61-65.
[8]谷新建.用突变理论分析矿山冒落型地震机理[J].中国安全科学学报,2003,10(10):8-12.Gu Xinjian.China Safety Science Journal,2003,10(10):8-12.
[9]谷新建.柴红保.应用突变评价理论选择采矿方法[J].中国安全科学学报,2004,11(7):13-15.Gu Xinjian,Chai Hongbao.China Safety Science Journal,2004,11(7):13-15.
[10]Martin J,Heinz W.Erste betriebserfahrungen mit einer neuen Hochleistungs-Hobelanglage in harter Kohle[J].Gltiekauf,2004,140(11):510-518.
[11]李晓豁.不同工况下滑行式刨煤机的动态仿真研究[J].煤炭学报,2010,35(7):1202-1207.Li Xiaohuo.Journal of China Coal Society,2010,35(7):1202-1207.
[12]刘大同.测试坚硬煤层截割阻力合理选型刨煤机[J].同煤科技,2007,111(1):14-16.Liu Datong.Science and Technology of Datong Coal Mining,Administration2007,111(1):14-16.
[13]康晓敏.随机动载荷作用下刨煤机刨链疲劳寿命预测[J].煤炭学报,2010,35(3):503-509.Kang Xiaomin.Journal of China Coal Society,2010,35(3):503-509.
[14]翟新献,李小军,李宝富.坚硬顶板松软薄煤层刨煤机开采可刨性研究[J].河南理工大学学报:自然科学版,2009,28(4):424-430.Zhai Xinxian,Li Xiaojun,Li Baofu.Journal of Henan Polytechnic University:Natural Science,2009,28(4):424-430.
[15]邓聚龙.灰理论基础[M].武汉:华中科技大学出版社,2002.Deng Julong.Gray theory[M].Wuhan:Huazhong University of Science&Technology Press,2002.
[16]陈义保,姚建初,钟毅芳.基于灰色系统理论的多目标优化的一种策略[J].机械工程学报,2003,39(1):101-106.Chen Yibao,Yao Jianchu,Zhong Yifang.Chinese Journal of Mechanical Engineering,2003,39(1):101-106.
[17]谢延敏,于沪平,陈军,等.基于灰色系统理论的冲压成形稳健设计[J].上海交通大学学报,2007,41(4):596-599.Xie Yanmin,Yu Huping,Chen Jun,et al.Journal of Shanghai Jiaotong University,2007,41(4):596-599.
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