1.School of Safety Science and Engineering,Liaoning Technical University,Fuxin ,China；2.MOE Key Lab of Mine Thermodynamic Disasters and Prevention,Liaoning Technical University,Fuxin ,China；3.Leshan Normal University,Leshan ,China

为了解决矿井通风系统拓扑关系难以人工建立的问题,研究了通风系统存储结构的建立和节点自动编号的实现,采用编程技术实现通风系统拓扑关系的自动建立。结果表明:应用顺序表的数据结构存储通风网络可加快数据读取速度,同时降低了存储空间的要求;建立了通风动力的存储结构,可在避免出现"假收敛"的情况下,优选通风机特性曲线;建立了通风设施存储结构,优化了网络解算中对通风设施的处理方式,在很大程度上降低通路搜索和网络解算的复杂度,从而提高了计算速度和效率;节点自动编号可提高通风系统拓扑关系建立的效率和准确性,为通风系统的日常管理与维护工作提供了便捷。将该研究验证于某大型矿井通风系统,使网络解算收敛时间下降了34.2%。

In order to solve a hard artificial establishment problem of the topological relationship in the mine ventilation system,establishment of ventilation system storage structure and automatic numbering realization of mode was studied,a programming technology was applied to realize the automatic establishment on the topological relationship of the main ventilation system.The results showed that the storage ventilation network of the data structure in the sequence list applied could speed up the data reading speed and meanwhile could reduce the requirements of the storage space.The establishment on the storage structure of the ventilation power could avoid a “false convergence” condition occurred and could optimize the characteristic curve of the ventilator.The storage structure of the ventilation facility established could optimize the treatment mode of the ventilation facility in the network resolution.In a large extent,the path search and the network resolution complicated could be reduced and thus the calculation speed and efficiency would be improved.The automatic numbering of the node could improve the efficiency and accuracy of the topological relationship established in the ventilation system and could provide a convenient and fast to the daily management and maintenance work of the ventilation system.The study applied to verify a ventilation system in a large mine could reduce 34.2% of the convergence time of the network resolution.

国家自然科学基金资助项目(51774168)；国家重点研发计划资助项目(2017YFC0804301)；辽宁省教育厅科研资助项目(LJYL002)；