摘要
为更好地预测煤炭自燃风险,分析了影响煤炭自燃的关键因素,建立了煤炭自燃风险评价指标体系。根据最小信息鉴别原理,利用反熵权法确定了评价指标的权重,构建了基于理想点法的煤炭自燃风险评价模型,并选取15个典型煤矿采煤工作面样本应用于模型。研究表明:测得不同采煤工作面煤炭自燃风险程度与实际相符,各项指标差异可以科学确定不同采煤工作面的自燃特征,有助于煤矿管理者优化自燃防治方案。
In order to more reasonably evaluate the risk of coal spontaneous combustion, a multi-index evaluation system is proposed. According to the principle of minimum information discrimination, combining the advantages of both qualitative and quantitative weighting methods, a combined weighting determination method is proposed, and an evaluation model is constructed based on TOPSIS. The method is adopted to appraise fifteen samples in different coal mines. The results of the evaluation is consistent with the investigation. The results can help to scientifically evaluate the characteristics of coal spontaneous combustion from different coal faces, as well as optimize the program of spontaneous combustion prevention for managers.
作者
邢媛媛
张飞飞
XING Yuan-yuan;ZHANG Fei-fei(Department of Mining Engineering,Shanxi Institute of Technology,Yangquan 045000,China;School of Safety Engineering,China University of Mining and Technology,Xuzhou 221008,China)
出处
《煤炭工程》
北大核心
2021年第11期131-134,共4页
Coal Engineering
基金
2019山西省阳泉市科技局重点研发计划(2019G17)
2019山西工程技术学院科技创新项目(2019003)。
关键词
反熵权法
理想点法
煤炭自燃
指标体系
AEM
TOPSIS
coal spontaneous combustion
evaluation system
