基于灰色关联及遗传算法的工作面采煤方法智能决策  

Intelligent decision-making of working face coal mining method based on grey relation and genetic algorithm

作　　者：亓玉浩[1] 阮琪 靳丰田 郑璨 寇明仕 孟祥军[4] 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)

机构地区：[1]兖州煤业股份有限公司设备管理中心,山东济宁273500 [2]中检西部检测有限公司,陕西西安710032 [3]西安理工大学机械与精密仪器工程学院,陕西西安710048 [4]兖矿集团有限公司,山东济宁273500 [5]兖矿集团博士后科研工作站,山东济宁273500

出　　处：《煤炭科技》2022年第2期53-58,共6页Coal Science & Technology Magazine

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.

关 键 词：采煤方法 优化决策 灰色关联 遗传算法 权重 

分 类 号：TH132[机械工程—机械制造及自动化]