司俊鸿, 李潭, 胡伟. 矿井通风网络压能分布图绘制算法设计研究[J]. 煤矿安全, 2022, 53(9): 198-204.
    引用本文: 司俊鸿, 李潭, 胡伟. 矿井通风网络压能分布图绘制算法设计研究[J]. 煤矿安全, 2022, 53(9): 198-204.
    Research on algorithm design for drawing pressure energy distribution diagram of mine ventilation network[J]. Safety in Coal Mines, 2022, 53(9): 198-204.
    Citation: Research on algorithm design for drawing pressure energy distribution diagram of mine ventilation network[J]. Safety in Coal Mines, 2022, 53(9): 198-204.

    矿井通风网络压能分布图绘制算法设计研究

    Research on algorithm design for drawing pressure energy distribution diagram of mine ventilation network

    • 摘要: 为解决目前矿井通风网络压能分布图节点分布不合理、压能线连接复杂的问题,提出了一种以独立不相交通路为主要骨架,剩余相连节点两侧分布的矿井通风网络压能图节点分布方法;依据独立不相交通路与剩余节点以及剩余节点之间的空间位置关系,分析了节点之间的分支形状绘制方法并设计出绘制算法。绘制算法绘图结果表明:算法可以利用已有数据将矿井通风网络图合理转换为矿井通风网络压能分布图,且压能分布图中各个节点分布有序,节点之间的压能线连接正常,既可以体现节点之间的网络关系也体现了节点的压能分布;算法可为智能化矿井通风以及井下防火和避险提供参考依据。

       

      Abstract: In order to solve the problems of unreasonable node distribution and complex connection of pressure energy lines in the current mine ventilation network pressure energy distribution diagram, a new method with independent disjoint roads as the main skeleton, and the node distribution method of the mine ventilation network pressure energy graph distributed on both sides of the remaining connected nodes is proposed. According to the spatial relationship between independent disjoint roads and the remaining nodes and the remaining nodes, the drawing method of the branch shape between the nodes is analyzed and the drawing algorithm is designed. The drawing results of the drawing algorithm show that the algorithm can use the existing data to reasonably convert the mine ventilation network diagram into the pressure energy distribution diagram of the mine ventilation network, and the nodes in the pressure energy distribution diagram are distributed in an orderly manner, and the pressure energy lines between the nodes are connected normally, which can not only reflect the network relationship between nodes, but also reflect the pressure energy distribution of nodes. The algorithm can provide a reference for intelligent mine ventilation and underground fire prevention and risk avoidance.

       

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