煤矿井下避灾路径规划研究综述  

Research overview on underground escape path planning in coal mine

作　　者：于丹 颜伟[1,2] YU Dan;YAN Wei(College of Energy and Mining Engineering,Shandong University of Science and Technology,Qingdao,Shandong 266590,China;State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology,Shandong University of Science and Technology,Qingdao,Shandong 266590,China)

机构地区：[1]山东科技大学能源与矿业工程学院,山东省青岛市266590 [2]山东科技大学矿山灾害预防控制省部共建国家重点实验室培育基地,山东省青岛市266590

出　　处：《中国煤炭》2022年第2期40-47,共8页China Coal

基　　金：国家自然科学基金资助项目(51509149,51379119);国家重点研发计划资助项目(2018YFC0604702);山东省重点研发计划资助项目(2018GSF120009)。

摘　　要：路径规划是煤矿井下灾害事故的热门研究之一,能够有效避免重大人员伤亡。针对矿井瓦斯爆炸、火灾、水灾3种煤矿井下灾害事故,从不同因素对巷道通行能力的影响、最优避灾路径规划模型构建以及求解避灾路径的算法3方面进行了总结研究。结果表明:巷道类型、坡度、局部障碍物数目、风速风向及CO等有毒有害气体、高温、烟雾浓度、水位高度等为影响巷道通行能力的主要因素;最优避灾路径规划模型构建主要以路径权值最短为原则;求解避灾路径所用的算法以Dijkstra算法为主。最后以矿井水灾为背景,使用Dijkstra算法实例分析了五沟煤矿1035工作面的最优逃生路径。Path planning is one of the hot research object on disaster accidents in coal mines,which can effectively avoid major casualties.Aiming at three kinds of coal mine disasters,namely,mine gas explosion,fire disaster and water hazard,the influence of different factors on roadway traffic capacity,the construction of optimal escape path planning model and the algorithm for solving refuge path were summarized and studied.The results showed that roadway type,slope,number of local obstacles,wind speed and direction,harmful gases such as CO,high temperature,smoke concentration and water level height were the main factors affecting roadway traffic capacity.The construction of the optimal escape path planning model was mainly based on the principle of the shortest path weight,and Dijkstra algorithm was the main algorithm for solving the escape path.Finally,taking the mine water disaster as the background,the optimal escape path of 1035 working face in Wugou Coal Mine was analyzed by Dijkstra algorithm.

关 键 词：避灾路径 瓦斯爆炸 火灾事故 水灾事故 避灾路径规划 DIJKSTRA算法 

分 类 号：TD712[矿业工程—矿井通风与安全] TD74