首页|基于瓦斯风险预警的最佳逃生路线计算系统

基于瓦斯风险预警的最佳逃生路线计算系统

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[目的]瓦斯爆炸事故是煤矿面临的重大安全隐患之一,考虑到煤矿井下环境的复杂性以及瓦斯灾害发生时环境的突变性,优化逃生路径变得至关重要.[方法]通过LSTM模型实现对井下各节点瓦斯浓度的预测,并结合逻辑回归模型判别该节点是否存在风险,根据判别结果实时更新巷道拓扑结构,实现基于预测结果的最优避灾路线规划.[结果]该系统重新生成的最佳逃生路线更加科学、有效,可为井下人员提供更加安全、可靠的逃生路线.[结论]在模型的综合作用下,路线规划更加合理,增加了人员逃生成功的概率.
The Best Escape Route Calculation System Based on Gas Risk Warning
[Purposes]Since gas explosion accident is one of the major safety hazards faced by coal mines,optimizing escape routes has become crucial due to the complexity of the underground environ-ment in coal mines and the sudden changes in the environment during gas disasters.[Methods]The best escape route regenerated by this system is more scientific and effective,providing reliable escape routes for underground personnel,which will effectively increase the probability of escape for underground per-sonnel.[Findings]The best escape route regenerated by the system is more scientific and effective,which can provide safer and more reliable escape routes for underground personnel.[Conclusions]Under the comprehensive effect of the model,route planning is more reasonable,and finally increases the prob-ability of success of personnel escape.

gas concentrationLSTM modellogistic regression modeldisaster avoidance routedynamic adjustment

丁玮囿、柳晓莉

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华北理工大学,河北 唐山 063000

瓦斯浓度 LSTM模型 逻辑回归模型 避灾路线 动态调整

大学生创新创业训练计划资助项目&&

X202107121130215C

2024

河南科技
河南省科学技术信息研究院

河南科技

影响因子:0.615
ISSN:1003-5168
年,卷(期):2024.51(16)