基于熵权模糊法的高海拔矿井风机性能影响因素分析

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。

Analysis of Factors Influencing the Performance of High Altitude Mine Fan Based on Entropy Weight Fuzzy Method

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 eachevaluation index weight by using the information entropy theory,thus,the fuzzy comprehensive evaluationmodel based on entropy weight method was set up.Through the use of the model,the effective evaluation andranking 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 firstlevelindexes 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 havea great influence on fan performance.They are air density,the number of blades,blade installation angle,bladethickness,professional training and fan installation form.Moreover,four indexes have a small influence on theperformance of the mine fan.They are air temperature,the number of guide blades,supervision of mine fans andselection of fan installation location. In addition,the results in this paper verify the reliability of the fuzzycomprehensive evaluation method on the basis of entropy weight in solving the problem of evaluating thefactors influencing the performance of mine fans in the high-altitude areas is verified.These results also providemore solutions for the analysis of the factors influencing the performance of high-altitude mine fans.The resultscan provide a scientific theoretical basis for the reasonable selection and optimization design of mine fans in thehigh altitude areas.