巷道通风网络可靠性分析及优化  

Reliability Analysis and Optimization of Tunnel Ventilation Network

作　　者：张俊涛[1] 王龙葛[2] ZHANG Juntao;WANG Longge(Xuchang Vocational Technical College,Xuchang 461000,China;Henan University,Kaifeng 475000,China)

机构地区：[1]许昌职业技术学院,河南许昌461000 [2]河南大学,河南开封475000

出　　处：《煤炭技术》2023年第9期173-176,共4页Coal Technology

基　　金：河南省教育厅项目(222102210229)。

摘　　要：通风网络运行的可靠性是保证巷道工作点安全用风的前提。由于当前通风控制技术的不足,以及巷道复杂地形结构的制约,导致通风网络的可靠性较低,无法满足当前智能化管理需求。基于此,通过研究巷道通风网络的结构与形式,结合可靠性分析方法,利用粒子群寻优(PSO)算法寻求1个合理且有效的控制结果,确保通风性能指标达到最优。结果表明:实验中6条分支风路中,有4条网路的可靠度较低,整个通风网络可靠度约0.782,处于中等水平;经PSO优化后,各条风路的可靠性明显提升,通风网络可靠度约0.902,相较于未优化前提升了13.3%,满足预期效果。The reliability of ventilation network operation is the precondition to ensure the safe use of air at roadway work points.Due to the insufficiency of current ventilation control technology and the restriction of complex topographic structure of roadways,the reliability of ventilation network is low and cannot meet the current requirements of intelligent management.Based on this,by studying the structure and form of roadway ventilation network,combined with the reliability analysis method,the particle swarm optimization(PSO)algorithm is used to find a reasonable and effective control result to ensure the optimal ventilation performance index.The results show that four of the six branch air paths in the experiment have low reliability,and the reliability of the whole ventilation network is about 0.782,which is at a moderate level.After PSO optimization,the reliability of each air route is significantly improved,and the reliability of ventilation network is about 0.902,which is 13.3%higher than that before optimization,to meet the expected results.

关 键 词：通风网络 可靠性分析 PSO寻优 

分 类 号：TP724[自动化与计算机技术—检测技术与自动化装置]