基于瓦斯风险预警的最佳逃生路线计算系统
The Best Escape Route Calculation System Based on Gas Risk Warning
丁玮囿 1柳晓莉1
作者信息
- 1. 华北理工大学,河北 唐山 063000
- 折叠
摘要
[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.
Abstract
[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.
关键词
瓦斯浓度/LSTM模型/逻辑回归模型/避灾路线/动态调整Key words
gas concentration/LSTM model/logistic regression model/disaster avoidance route/dynamic adjustment引用本文复制引用
基金项目
大学生创新创业训练计划资助项目(X2021071)
&&(21130215C)
出版年
2024
NETL
NSTL
万方数据