摘要
以我国多矿区工作面采煤方法的选择经验为基础,将灰色关联分析和遗传算法与相关采煤方法决策理论及工程实际相融合,借助灰色关联分析获得各因素对采煤方法决策的影响权重,基于遗传算法建立各影响因素与采煤方法之间的可靠映射关系,构建工作面采煤方法智能决策模型。多个工作面的实例验证表明,该模型具有较高的决策精度,可为相关决策提供技术参考。
Based on the selection experience of coal mining methods in multi-mining areas in my country,grey relational analysis and genetic algorithm were integrated with relevant coal mining method decision-making theory and engineering practice,and the influence weights of various factors on coal mining method decision-making were obtained by means of grey relational analysis,based on the genetic algorithm to establish a reliable mapping relationship between the influencing factors and coal mining methods,and built an intelligent decision-making model for coal mining methods in working faces.Instance verification of multiple working faces showed that the model had high decision-making accuracy and could provide technical reference for relevant decision-making.
作者
亓玉浩
阮琪
靳丰田
郑璨
寇明仕
孟祥军
尹明虎
QI Yu-hao;RUAN Qi;JIN Feng-tian;ZHENG Can;KOU Ming-shi;MENG Xiang-jun;YIN Ming-hu(Equipment Management Center,Yanzhou Coal Industry Co.,Ltd.,Jining 273500,China;China Inspection West Testing Co.,Ltd.,Xi′an 710032,China;School of Mechanical and Precision Instrument Engineering,Xi′an University of Technology,Xi′an 710048,China;Yankuang Group Co.,Ltd.,Jining 273500,China;Postdoctoral Research Station of Yankuang Group,Jining 273500,China)
出处
《煤炭科技》
2022年第2期53-58,共6页
Coal Science & Technology Magazine
关键词
采煤方法
优化决策
灰色关联
遗传算法
权重
coal mining method
optimal decision-making
grey correlation
genetic algorithm
weight