摘要
针对目前煤矿井下火灾救援模型过于复杂、对巷道安全因子的研究不够深入、未考虑灾后巷道交通网络连通度的问题,建立了基于多元信息评估的矿井火灾救援路径优化模型。对火灾后巷道内温度、瓦斯浓度、烟雾能见度等环境安全因子进行量化分析和计算,以安全性和可靠性为约束条件,结合巷道交通网络通行权重和连通度构建了矿井火灾救援路径优化模型,并运用Dijkstra算法得到最优路径。以淮南某矿为例,对考虑节点连通度及安全因子的最短路径、仅考虑安全因子的救援路径及不考虑安全因子及连通度的救援路径进行对比分析,结果表明,最安全、疏散最有效的路径是考虑巷道安全因子及节点连通度所求得的路径。
In view of problems that coal mine underground fire rescue model is too complicated, study of roadway safety coefficient is not deep enough and roadway traffic network connectivity after disaster is not considered, a mine fire rescue path optimization model based on multivariate information evaluation was established. Quantitative analysis and calculation of environmental safety factors after fire were carried out such as temperature, gas concentration and smoke visibility in roadway. Taking safety and reliability as constraints, mine fire rescue path optimization model was constructed combined with traffic weight and connectivity of roadway traffic network, and Dijkstra algorithm was used to get the optimal path. Taking a mine in Huainan as an example, the shortest path considering connectivity and safety factor of the node, the rescue path considering only safety factor, and the rescue path without considering safety factor and connectivity were compared and analyzed. The results show that the safest and most effective route is the path obtained by considering safety factor of the roadway and connectivity of the nodes.
作者
姜媛媛
时美乐
JIANG Yuanyuan;SHI Meile(School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232000, China)
出处
《工矿自动化》
北大核心
2019年第3期5-11,共7页
Journal Of Mine Automation
基金
国家自然科学基金项目(51604011)
安徽省自然科学基金项目(1708085QF135)
安徽省高校省级自然科学研究项目(KJ2017A077)
安徽省高校优秀青年骨干人才国内外访学研修项目(gxfx2017025)
关键词
矿井火灾救援
巷道安全因子
巷道交通网络连通度
路径优化
多元信息评估
mine fire rescue
safety factor of roadway
roadway traffic network connectivity
path optimization
multivariate information evaluation
