工矿自动化2026，Vol.52Issue(3)：34-42,94,10.DOI:10.13272/j.issn.1671-251x.2026010076
基于粗糙集与WLS的矿井通风网络解算方法优化研究
Optimization of mine ventilation network solution method based on rough set and WLS
摘要
Abstract
Existing mine ventilation network solution methods do not consider the distribution of error weights in the ventilation network during the solution process,which leads to deviations in the airflow of each branch and limits the accuracy of the results.To address this issue,a ventilation network solution method integrating rough set attribute reduction and Weighted Least Squares(WLS)method was proposed.Based on rough set theory,a forward greedy algorithm was used to construct equivalence classes and calculate dependency degree,thereby achieving attribute reduction,and the key attributes highly correlated with the airflow distribution were identified as airflow,resistance,and cross-sectional area.According to the weights of the key attributes,Prim's algorithm with a priority queue was employed to construct the minimum spanning tree of the ventilation network,and the co-tree branch set was further obtained.The WLS co-tree branch determination method was introduced to iteratively optimize the weights of each branch,reduce computational errors,and improve prediction accuracy.The results of engineering application analysis showed that,after introducing rough set attribute reduction,the solution time of the network was effectively reduced,and the efficiency and accuracy of ventilation network solution were improved.The WLS co-tree branch determination method controlled the airflow calculation deviations of 16 key co-tree branches within 0.1％-2.0％,demonstrating higher computational accuracy and stability.关键词
矿井通风网络解算/粗糙集/属性约简/加权最小二乘法/Prim优先队列算法/WLS-余支测定法Key words
mine ventilation network solution/rough set/attribute reduction/weighted least squares/Prim's algorithm with a priority queue/WLS co-tree branch determination method分类
矿业与冶金引用本文复制引用
刘永立,荆凯,王振锁,董长吉,鲁悦..基于粗糙集与WLS的矿井通风网络解算方法优化研究[J].工矿自动化,2026,52(3):34-42,94,10.基金项目
国家自然科学基金项目(52074111) （52074111）
黑龙江省省属高等学校基本科研业务费项目(2024-KYYWF-1106) （2024-KYYWF-1106）
黑龙江省"揭榜挂帅"科技攻关项目(2021ZXJ02A03,2021ZXJ02A04). （2021ZXJ02A03,2021ZXJ02A04）
