辽宁工程技术大学学报（自然科学版）2017，Vol.36Issue(10)：1031-1035,5.DOI:10.11956/j.issn.1008-0562.2017.10.005
矿井风速传感器可变模糊优选方案
Mine wind sensor variable fuzzy optimization model
摘要
Abstract
Aimimg at the problems that the average wind speed for the current parameters of the test can not be obtain in mine air tunnel,the information of ventilation network can not be fully monitored,monitoring data can not meet the ventilation resistance measurement requirements,and appearing of blind monitoring spots,this paper focused on the studies of minimum number of monitoring points and optimal mounting position of wind speed sensor by combining economy and rationality of the mine ventilation system.By analyzing the index factors influence siting wind sensor,based on variable fuzzy set theory,through field test and analysis of Sanjiao river coal mine as an example,the wind speed sensor variable fuzzy optimization model is established.Reaearch indicates that by calculating the relative membership degree,each branch reasonable weight right for install wind speed sensor is obtained.By using the Prim algorithm,minimum spanning tree for ventilation network is derived.The root seeking method is used to determine the basic circuit,and then the circuit branch for specific wind speed sensor installation is quickly and accurately determined,finally the optimal site selection solution for wind sensor is obtained.This research conclusion paves the way to realize the ventilation network without blind spots,and real-time dynamic monitoring and modeling.关键词
可变模糊优选/风速传感器/优化选址/相对优属度/权重/Prim算法/最小生成树/基本回路Key words
variable fuzzy/wind speed sensor/optimal location/relative membership degree/weight/Prim algorithm/minimum spanning tree/basic circuit分类
矿业与冶金引用本文复制引用
刘尹霞,马恒,杨皓然..矿井风速传感器可变模糊优选方案[J].辽宁工程技术大学学报（自然科学版）,2017,36(10):1031-1035,5.基金项目
国家自然科学基金(51274115) （51274115）
