丁莹莹, 卜昌森, 连会青, 尹尚先, 徐斌, 张丐卓, 姚辉, 董其金. 基于仿真平台的矿井突水淹没路径和逃生路径规划[J]. 煤矿安全, 2023, 54(5): 20-26.
    引用本文: 丁莹莹, 卜昌森, 连会青, 尹尚先, 徐斌, 张丐卓, 姚辉, 董其金. 基于仿真平台的矿井突水淹没路径和逃生路径规划[J]. 煤矿安全, 2023, 54(5): 20-26.
    DING Yingying, BU Changsen, LIAN Huiqing, YIN Shangxian, XU Bin, ZHANG Gaizhuo, YAO Hui, DONG Qijin. Mine water inrush path and escape path planning based on simulation platform[J]. Safety in Coal Mines, 2023, 54(5): 20-26.
    Citation: DING Yingying, BU Changsen, LIAN Huiqing, YIN Shangxian, XU Bin, ZHANG Gaizhuo, YAO Hui, DONG Qijin. Mine water inrush path and escape path planning based on simulation platform[J]. Safety in Coal Mines, 2023, 54(5): 20-26.

    基于仿真平台的矿井突水淹没路径和逃生路径规划

    Mine water inrush path and escape path planning based on simulation platform

    • 摘要: 井下环境错综复杂,与矿井水害不确定性及非线性等叠加,水害淹没情况千变万化,难以预测。针对如何获取矿井水灾发生时各个时间点巷道内的淹没情况,并根据淹没情况快速确定逃生路径的难点问题,采用“木桶原理”构建淹没路径树,确定巷道水流分岔方向,分析矿井突水淹没递进规律,模拟井下巷道内的水流状况,仿真直观展示实时水流变化、水位高度和逃生路径。研究表明:根据构建的淹没路径树,通过递归得到的水位等淹没参数,作为设计逃生路径的基础,微分积分递进动态设计逃生路径,解决了因井下复杂环境和不同时刻的突水状况不同而无法实时规划最优逃生路线的难题。

       

      Abstract: The underground environment is complex and superimposed with the uncertainty and nonlinearity of the mine water disaster. The situation of water disaster inundation is changeable and difficult to predict. Regarding the difficulty of obtaining the inundation situation in the roadway at various time points during a flood and quickly determining the escape path based on the inundation situation, in this study, the “bucket principle” is used to construct the submergence path tree, determine the direction of the roadway flow bifurcation, analyze the progressive law of the mine water inrush submersion, simulate the water flow in the underground roadway, and visually display the real-time water flow change, water level height and escape path. The research shows that according to the constructed inundation path tree, the water level and other inundation parameters obtained by recursion are used as the basis for designing the escape path. The differential and integral progressive dynamic design of the escape path solves the problem that the optimal escape path cannot be planned in real time due to the complex underground environment and different water inrush conditions at different times.

       

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