矿井突水路径搜索算法与应用

发布时间：2018-05-13 13:11

本文选题：矿井突水 + 下向蔓延　；参考：《中国安全生产科学技术》2015年11期

【摘要】：为了实现对矿井突水路径的搜索以及突水范围的预测,基于图论与网络理论,以巷道交叉点的标高为搜索权重,将水流流向分成下向蔓延和上向升涨两个突水阶段,提出了水流下向、上向蔓延路径搜索算法。实现了对突水路径的搜索,并在已知巷道突水点的情况下,通过两个时刻的巷道水位变化,计算得出了单位时间的突水量,结合给定的矿井巷道拓扑结构信息,对未来时间段的突水范围和水位标高点进行预测。研究结果表明:在已知矿井突水点和矿井基础数据信息的情况下,应用无向图宽度优先搜索法生成矿井突水路径,并结合得出的单位时间的突水量,对下一时间段的突水量进行计算并对突水范围进行预测。
[Abstract]:In order to realize the search of mine water inrush path and the prediction of water inrush range, based on graph theory and network theory, with the elevation of roadway intersection as the search weight, the flow direction is divided into two water inrush stages: downward spreading and upward rising and rising. In this paper, an algorithm for searching the downward and upwardly spreading paths of water flow is proposed. The water inrush path is searched, and when the water inrush point is known, the water inrush per unit time is calculated through the change of the water level of the roadway at two times, combined with the given topological structure information of mine roadway. The range of water inrush and the elevation of water level in the future time period are predicted. The results show that under the condition of known mine water inrush points and mine basic data information, the undirected graph width preference search method is used to generate mine water inrush paths, and the water inrush per unit time is obtained. Calculate the amount of water inrush in the next time period and predict the range of water inrush.
【作者单位】：辽宁工程技术大学安全科学与工程学院;矿山热动力灾害与防治教育部重点实验室;
【基金】：国家自然科学基金项目(51274116)
【分类号】：TP301.6;TD745

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