基于熵权模糊法的高海拔矿井风机性能影响因素分析

doi:10.11872/j.issn.1005-2518.2020.03.183

摘要/Abstract

摘要：

针对高海拔矿井风机性能影响因素具有复杂性、模糊性及不确定性的问题，在构建高海拔矿井风机性能评估指标体系的基础上，运用熵权法对各指标赋予权重，建立熵权模糊综合评估模型，实现高海拔矿井风机性能影响因素的有效评估和排序。以云南迪庆某矿山为例进行实证研究，结果表明：一级指标根据所占权重大小排序为风机结构>环境条件>管理因素>其他因素；二级指标中空气密度、叶片个数和叶片安装角度等6个指标对风机性能影响程度较大，而空气温度和导流叶个数等4个指标对矿井风机性能影响程度较小。研究验证了熵权模糊综合评估方法在解决高海拔矿井风机性能影响因素评估问题中的可靠性。

关键词: 高海拔矿井, 矿井风机, 风机性能, 指标体系, 信息熵理论, 熵权模糊综合评价法

Abstract:

Mine fan is an indispensable mechanical equipment in mine production，but its performance index in actual operation in the high altitude areas is far lower than the performance standard when it leaves the factory，that is，the problem of fan efficiency reduction occurs.Therefore，selecting a scientific and reasonable method to evaluate the factors affecting the performance of mine fans at high altitude is not only the basis for the selection of mine fans in the high altitude areas，but also the key factor to realize the performance optimization of mine fans in the high altitude areas.In view of the complexity，ambiguity and uncertainty of the factors influencing the performance of mine fans in the high altitude areas，the high-altitude mine fans performance evaluation index system consisting of 4 first-level indexes and 21 second-level indexes was established.On the basis of this evaluation index system of the performance of mine fans in the high-altitude areas，the paper gave each evaluation index weight by using the information entropy theory，thus，the fuzzy comprehensive evaluation model based on entropy weight method was set up.Through the use of the model，the effective evaluation and ranking of the factors influencing the performance of mine fans in the high-altitude areas was accomplished.Taking a mine in Diqing，Yunnan Province as an example for empirical，the analysis results show that the first-level indexes are ranked from the largest to the smallest according to their weight，that is fan structure，environmental conditions，management factors，other factors.Among the second-level indexes，six indexes have a great influence on fan performance.They are air density，the number of blades，blade installation angle，blade thickness，professional training and fan installation form.Moreover，four indexes have a small influence on the performance of the mine fan.They are air temperature，the number of guide blades，supervision of mine fans and selection of fan installation location.In addition，the results in this paper verify the reliability of the fuzzy comprehensive evaluation method on the basis of entropy weight in solving the problem of evaluating the factors influencing the performance of mine fans in the high-altitude areas is verified.These results also provide more solutions for the analysis of the factors influencing the performance of high-altitude mine fans.The results can provide a scientific theoretical basis for the reasonable selection and optimization design of mine fans in the high altitude areas.

Key words: high altitude mines, mine fan, fan performance, index system, information entropy theory, entropy weight fuzzy comprehensive evaluation method

中图分类号:

X936

宋品芳, 李孜军, 李蓉蓉, 赵淑琪, 徐宇. 基于熵权模糊法的高海拔矿井风机性能影响因素分析[J]. 黄金科学技术, 2020, 28(3): 457-464.

Pinfang SONG, Zijun LI, Rongrong LI, Shuqi ZHAO, Yu XU. Analysis of Factors Influencing the Performance of High Altitude Mine Fan Based on Entropy Weight Fuzzy Method[J]. Gold Science and Technology, 2020, 28(3): 457-464.

图/表 2

图1

表1

参考文献 23

1	王洪粱，辛嵩，韩永辉.高海拔矿井通风机的合理选型与优化设计[J].黑龙江科技大学学报，2013，23（6）：523-526.
	Wang Hongliang，Xin Song，Han Yonghui.Reasonable selection and optimization design for ventilator in high-altitude mines[J].Journal of Heilongjiang University of Science and Technology，2013，23（6）：523-526.
2	叶学民，李鹏敏，李春曦.叶顶开槽对轴流风机性能影响的数值研究[J].中国电机工程学报，2015，35（3）：652-659.
	Ye Xuemin，Li Pengmin，Li Chunxi.Numerical investigation of grooved blade tips effect on the performance of an axial flow fan[J].Chinese Journal of Electrical Engineering，2015，35（3）：652-659.
3	丁学亮，叶学民，李春曦.轴流风机叶片展向结构变化对性能影响的数值分析[J].流体机械，2015，43（9）：43-49，78.
	Ding Xueliang，Ye Xuemin，Li Chunxi.Numerical analysis on the effect of varied blade spanwise structure on an axial flow fan performance[J].Fluid Machinery，2015，43（9）：43-49，78.
4	Jin G Y，Ouyang H，Du Z H.Experimental investigation of unsteady flow in axial skewed fans according to flow rates[J].Experimental Thermal and Fluid Science，2013，48：81-96.
5	Jin G Y，Ouyang H，Du Z H.An experimental study of sweep effect on 3D flow downstream of axial fans at off-design conditions[J].Applied Mechanics and Materials，2013，281：335-342.
6	黄海鸿，陆月星.叶顶间隙和导流罩的安装位置对轴流风机流场的影响研究[J].流体机械，2018，46（4）：34-39.
	Huang Haihong，Lu Yuexing.Research on effect of blade tip clearance and installation position of guide vane on flow field of axial-flow fan[J].Fluid Machinery，2018，46（4）：34-39.
7	Hirano T，Takahashi K，Minorikawa G.Study on performance evaluation of small axial fan[J].Open Journal of Fluid Dynamics，2017，7（4）：546-556.
8	左曙光，张琛璘，韦开君，等.叶轮参数对旋涡风机性能影响分析及优化[J].中南大学学报（自然科学版），2014，45（10）：3408-3415.
	Zuo Shuguang，Zhang Chenlin，Wei Kaijun，et al.Analysis on effect of impeller parameters on performance of a regenerative blower and optimization[J].Journal of Central South University（Science and Technology），2014，45（10）：3408-3415.
9	张鹏.轴流风机结构参数优化设计[D].秦皇岛：燕山大学，2016.
	Zhang Peng.Structural Optimizaton Design of Axial Flow Fan[D].Qinhuangdao：Yanshan University，2016.
10	刘洋，杨志刚，李启良.集流器形式对轴流式风机性能影响的研究[J].风机技术，2012（3）：19-21，39.
	LiuYang，Yang Zhigang，Li Qiliang.Research on the effect of collector forms on the performance of axial flow fan[J].Chinese Journal of Turbomachinery，2012（3）：19-21，39.
11	林美娜，赵薰，王娜娜，等.安装形式对轴流式风机性能影响的试验研究[J].制冷与空调，2014，14（4）：69-71.
	Lin Meina，Zhao Xun，Wang Nana，et al.Experimental study on impact of installation forms on axial flow fan’s performance[J].Refrigeration and Air Conditioning，2014，14（4）：69-71.
12	梁政，周星火，刘畅荣.铀矿通风与降氡技术研究[J].中国安全生产科学技术，2006，2（2）：53-56.
	Liang Zheng，Zhou Xinghuo，Liu Changrong.Ventilation and radon reduction in uranium mine[J].Journal of Safety Science and Technology，2006，2（2）：53-56.
13	刘祥.雀儿山高海拔特长公路隧道施工通风关键技术研究[D].成都：西南交通大学，2016.
	Liu Xiang.Study on Key Technique of Construction Ventilation for Extra-long Highway Tunnel at High Altitude on Queer Mountain[D].Chengdu：Southwest Jiaotong University，2016.
14	梁国良.基于熵权模糊综合评价模型在井组分类划分中的应用[J].大庆石油地质与开发，2018，37（4）：50-54.
	Liang Guoliang.Application of the fuzzy comprehensive evaluation model based on entropy weight in the classification and division of the well group[J].Petroleum Geology and Oilfield Development in Daqing，2018，37（4）：50-54.
15	罗军刚，解建仓，阮本清.基于熵权的水资源短缺风险模糊综合评价模型及应用[J].水利学报，2008，39（9）：1092-1097.
	Luo Jungang，Xie Jiancang，Ruan Benqing.Fuzzy comprehensive evaluation model for water resource shortage risk based on entropy weight[J].Journal of Hydraulic Engineering，2008，39（9）：1092-1097.
16	杨志超，张成龙，葛乐，等.基于熵权法的绝缘子污闪状态模糊综合评价[J].电力自动化设备，2014，34（4）：90-94.
	Yang Zhichao，Zhang Chenglong，Ge Le，et al.Comprehensive fuzzy evaluation based on entropy weight method for insulator flashover pollution[J].Electric Power Automation Equipment，2014，34（4）：90-94.
17	林济铿，李童飞，赵子明，等.基于熵权模糊综合评价模型的电力系统黑启动方案评估[J].电网技术，2012，36（2）：115-120.
	Lin Jikeng，Li Tongfei，Zhao Ziming，et al.Assessment on power system black-start schemes based on entropy-weighted fuzzy comprehensive evaluation model[J].Power System Technology，2012，36（2）：115-120.
18	聂宏展，吕盼，乔怡，等.基于熵权法的输电网规划方案模糊综合评价[J].电网技术，2009，33（11）：60-64.
	Nie Hongzhan，Lü Pan，Qiao Yi，et al.Comprehensive fuzzy evaluation for transmission network planning scheme based on entropy weight method[J].Power System Technology，2009，33（11）：60-64.
19	高长波，陈新庚，韦朝海，等.熵权模糊综合评价法在城市生态安全评价中的应用[J].应用生态学报，2006，17（10）：1923-1927.
	Gao Changbo，Chen Xingeng，Wei Chaohai，et al.Application of entropy weight and fuzzy synthetic evaluation in urban ecological security assessment[J].Chinese Journal of Applied Ecology，2006，17（10）：1923-1927.
20	Austin J，McCaffrey A.Business leadership coalitions and public-private partnerships in American Cities：A business perspective on regime theory[J].Journal of Urban Affairs，2002，24（1）：35-54.
21	Grimsey D，Lewis M K.Evaluating the Risks of Public Private Partnerships for Infrastructure Projects[J].International Journal of Project Management，2002，20（2）：107-118.
22	Cioffi D F，Khamooshi H.A practical method of determining project risk contingency budgets[J].Journal of the Operational Research Society，2009，60（4）：565-571.
23	Yan J，Zhang T F，Zhang B，et al.Application of entropy weight fuzzy comprehensive evaluation in optimal selection of engineering machinery[C]// International Colloquium on Computing，Communication，Control and Management.New York：IEEE，2008.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

[1]	杨玮, 薛梦鸽, 龙涛, 邓莎, 邓博, 方楠. 基于DPSIR模型的黄金行业绿色矿山建设综合评价研究[J]. 黄金科学技术, 2023, 31(4): 635-645.
[2]	黄锴强,徐水太,薛飞. 基于ISM和ANP的废弃稀土矿山治理效果影响因素分析[J]. 黄金科学技术, 2021, 29(2): 306-314.
[3]	王利鹏,闫放,李孜军,王方. 高海拔地区矿井风机状态动态评估[J]. 黄金科学技术, 2020, 28(6): 930-939.
[4]	王猛, 史秀志, 张舒. 面向产能优化的地下金属矿山安全保障条件评价研究[J]. 黄金科学技术, 2020, 28(5): 753-760.
[5]	高振兴, 郭进平. 基于熵值法—突变理论的尾矿库安全评价研究[J]. 黄金科学技术, 2020, 28(3): 450-456.
[6]	刘亦晴,梁雁茹,刘娜娜,胡欢. 基于高质量发展视角的绿色矿山建设评价指标体系研究[J]. 黄金科学技术, 2020, 28(2): 176-187.
[7]	马宁,胡乃联,李国清,郭对明,侯杰. 基于模糊层次分析法的高原矿井人机功效评价[J]. 黄金科学技术, 2019, 27(6): 871-878.
[8]	赵国彦,吴攀,朱幸福,赵源,李洋,邱菊. 基于灰色关联分析的三山岛金矿绿色开采技术优先级评价[J]. 黄金科学技术, 2019, 27(6): 835-843.
[9]	周智勇, 肖玮, 陈建宏, 李欢. 基于PCA和GM（1，1）的矿山生态环境预测模型[J]. 黄金科学技术, 2018, 26(3): 372-378.
[10]	周海林，杨珊，陈建宏*. 黄金矿山清洁生产评价指标体系研究与应用[J]. 黄金科学技术, 2017, 25(5): 93-100.
[11]	党晓娥，孟裕松，王璐，宋永辉，吕超飞，贠亚新. 黄金冶炼两大新技术应用现状与发展趋势探讨[J]. 黄金科学技术, 2017, 25(4): 113-121.
[12]	吴刚, 刘胜富. 关于黄金矿区可持续发展评价指标体系的探讨[J]. J4, 2003, 11(3): 39-43.
[13]	吴刚, 刘胜富. 黄金矿区可持续发展的状态——趋势评价[J]. J4, 2003, 11(2): 1-7.