摘要
对煤炭分选工艺进行有效评价是体现工艺性能的重要依据,同时也是促进选煤行业向高效、清洁等方向发展的重要举措。提出一种基于云模型和组合赋权的综合评价方法。首先,基于博弈论和专家评分矩阵对主观权重和客观权重进行整合以获取最终专家评分;其次,基于云熵优化的云模型将各评价等级的定性概念转换为定量数值;最后,根据专家评分在各评价等级云模型上的确定度得到评价结果。从某选煤厂中选取某月生产运行数据进行验证,所提方法能准确反映当月选煤工艺的实际情况。选用经典的模糊综合评价方法进行对比验证,其Q为0.9991,评价等级与上述结果相同,证明基于云熵优化的云模型-组合赋权煤炭分选工艺综合评价方法可行性较强。
The effective evaluation of coal separation process is an important basis to reflect the process performance,and it is also an important measure to promote the development of coal preparation industry towards high efficiency and cleanliness.This paper proposed a comprehensive evaluation method based on cloud model and combination weighting.Firstly,based on game theory and expert scoring matrix,the subjective weight and objective weight were integrated to obtain the final expert score.Secondly,the cloud model based on cloud entropy optimization converted the qualitative concepts of each evaluation level into quantitative values.Finally,the evaluation results were obtained according to the certainty of the expert score on the cloud model of each evaluation level.The production and operation data of a certain month were selected from a coal preparation plant for validation,and the proposed method can accurately reflect the actual situation of the coal preparation process in that month.By using the classical fuzzy comprehensive evaluation method for comparison and validation,its Q value is 0.9991,and the evaluation level is consistent with the above results,proving the strong feasibility of the cloud model-combined weighting coal selection process comprehensive evaluation method based on cloud entropy optimization.
作者
张军
蔚文朋
张硕
姜坤坤
王杰
李少宁
董良
代伟
ZHANG Jun;WEI Wenpeng;ZHANG Shuo;JIANG Kunkun;WANG Jie;LI Shaoning;DONG Liang;DAI Wei(Guodian Jiantou Inner Mongolia Energy Investment Co.,Ltd,Ordos 017209,China;Dadi Engineering Development Co.,Ltd.,Beijing 100102,China;School of Chemical Engineering&Technology,China University of Mining&Technology,Xuzhou 221116,China)
出处
《洁净煤技术》
CAS
CSCD
北大核心
2024年第S02期508-514,共7页
Clean Coal Technology
基金
江苏省杰出青年基金资助项目(BK20240105)
关键词
煤炭分选
云模型
组合赋权
评价方法
coal separation
cloud model
combination weighting
evaluation method
