首页|基于AHP-熵权-TOPSIS模型的矸石充填方案评价和优选研究

基于AHP-熵权-TOPSIS模型的矸石充填方案评价和优选研究

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煤矸石井下充填是近年来发展起来的矸石绿色处置方法,但不同的充填开采工艺并没有相关的标准、规范,尚未建立完善的评价体系.依据《煤矿充填开采工作指导意见》,针对陕北生态脆弱区本地特点,根据陕西小保当矿业有限公司矸石充填施工方案,提出了基于多因素指标构建的煤矸石充填评价体系.为了使评价指标权重分配合理,采用层次分析法和熵权法相结合的主客观综合赋权法,在兼顾到陕北地区生态环境突出问题的同时减少主观性,使赋权结果科学、合理.最后,将组合赋权结果运用到TOPSIS模型进行决策分析,科学评判出最优施工方案,最终认为地面钻孔充填为最优方案,并实施了 200万t/a的煤矸石充填实例进行验证,得出了煤矸石充填的综合成本值.
Research on the evaluation and optimization of gangue filling scheme based on AHP-entropy weight-TOPSIS model
The underground filling of coal gangue is an environmentally friendly disposal method developed in recent years.However,there are currently no relevant standards and norms for different filling mining technologies,and a comprehensive evaluation system has not yet been established.In accordance with the Guiding Opinions on Coal Mine Filling Mining Work,and according to the construction plan for gangue filling in Xiaobaodang Coal Mine,a evaluation system for coal gangue filling based on multiple factor index was proposed.In order to make the weight distribution of evaluation indicators reasonable,a subjective and objective comprehensive weighting method combining analytic hierarchy process and entropy weight method was adopted,which reduced subjectivity while taking into account the prominent ecological and environmental problems in the northern Shaanxi region,making the results scientific and reasonable.Finally,the combined weighting results were applied to the TOPSIS model for decision analysis,and the optimal construction plan was scientifically evaluated.The ground drilling filling was ultimately considered the optimal plan,and a coal gangue filling example of 2 million tons per year was implemented for verification,resulting in the comprehensive cost value of filling coal gangue.

coal gangue fillinggreen constructionAHPentropy weight methodTOPSIS mode

张丽维、侯恩科、段中会、付德亮、贺丹

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西安科技大学地质与环境学院,陕西省西安市,710054

陕西省煤田地质集团有限公司 自然资源部煤炭资源勘查与综合利用重点实验室,陕西省西安市,710021

矸石充填 绿色施工 AHP 熵权法 TOPSIS模型

陕西省重点研发计划一般项目陕西省煤田地质集团重大专项

2023-YBSF-544SMDZ-2022ZD-1

2024

中国煤炭
煤炭信息研究院

中国煤炭

CSTPCD北大核心
影响因子:0.736
ISSN:1006-530X
年,卷(期):2024.50(5)
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