Evaluation of coal preparation plant separation effect based on multi-level fuzzy comprehensive evaluatio
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摘要: 为了反映选煤厂产品满足指标要求的情况，提出了多层次模糊综合评价方法。以某选煤厂7个月的生产数据为研究对象，选取重介分选产品指标、粗煤泥分选产品指标和浮选产品指标构成模糊关系矩阵，运用专家评分法建立权重向量，通过多层次模糊综合评价方法对该选煤厂7个月的分选效果进行评价。结果表明，1月和7月的分选效果为“好”，2—5月的分选效果为“较好”，6月的分选效果为“一般”，此结论与现场分选效果相符。Abstract: In order to reflect situation that whether products meet index requirements in coal preparation plant, a multi-level fuzzy comprehensive evaluation method was proposed. Taking production data of seven months in one coal preparation plant as research object， the heavy medium separation product index, the coarse slime separation product index and flotation product index were concentrated to form a fuzzy relation matrix, the weight vector was constructed by expert scoring method. And the production data of seven months was calculated by the multi-level fuzzy comprehensive evaluation method. The evaluation results indicated that the optimal target was January and July, and separation effect of February to May was suboptimal. By contrast, separation effect of June was unfavorable. This conclusion is in conformity with field separation effect.
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期刊类型引用(2)
1. 田宏彬. 选煤生产过程标准数据平台的建设. 煤炭加工与综合利用. 2022(11): 71-76 . 
百度学术
2. 崔方方，石婷，黄磊，王永伟，兰亚佳，杨跃林. 模糊数学综合评价模型在制鞋业职业病危害风险评估中的应用. 现代预防医学. 2017(17): 3104-3108 . 百度学术
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