Environmental Risk And Escape Route Optimization For Mine Fire Personnel

Mine fires are one of the major disasters in coal mine accidents,with the characteristics of strong suddenness,rapid development,and easy to cause secondary disasters and large numbers of casualties.Once a fire occurs in the underground tunnel,high-temperature smoke and harmful gases will be generated.High-temperature smoke is spreading around the network of the laneway,the high-temperature heat carried in the smoke,toxic and harmful gases,and the low visibility of the tunnel are all caused difficulty of escape.Therefore,it is necessary to study the laneway environmental risk and preferred escape route for personnel under environmental risk during a fire.Based on these two points,the method of combining data investigation,numerical simulation and theoretical analysis was used to analyze the environmental risks in the laneway by using the index optimization method,and the preferred escape routes for person under environmental danger during the mine fire.The main contents are as follows:Aimed at the environmental risk factors that affect people’s escape during the mine fire,an environment risk indicator system was preliminary established,based on the principle of reason analysis and the principle of obstruction of escape,ahp is used to divide the influencing factors into 4 first-level indicators including smoke factors,roadway conditions,roadway ventilation and fire source conditions,and 17 second-level indicators such as temperature,roadway length,roadway air volume and fire source size.From the perspective of personnel escape to preliminary analysis environmental risk factors,the content of expert survey and ahp are used to optimizes it and obtains an optimized environmental danger index system.The optimized risk indicators are classified into static indicators and dynamic indicators,and FDS is used to further optimize the dynamic indicators,analyze the impact of dynamic smoke factors on personnel escape,and determine the final indicators,provides the prerequisites for the human escape route optimization.Based on the urgent and environmental risk indicators for human escape during the fire,established a model structure diagram of the human escape route selection,and determined the selection method of the roadway impact factors.Based on the principle of Dijkstra’s algorithm,the dynamic environmental factors in the roadway during the fire were introduced into the choice of the escape route.The roadway temperature,CO and visibility are obtained by FDS simulation,all of these determine whether the roadway is feasible,and the optimal escape route is selected based on the the laneway equivalent length,a calculation model for the optimal path of human escape was established.Taking the Zhaoxian Mine 1307 working face as an example,the practical application of the escape route optimization during the fire was carried out.The FDS was used to simulate the change law of the CO concentration,temperature and visibility of the roadway at the time of a fire in the working face,and the impact of the law on the escape of the people was analyzed.On this basis,the equivalent length of the passable roadway was calculated,the optimal escape paths on the inlet side and return air side are obtained.Through the research content of this article,real-time disaster information can be obtained according to the dynamic smoke factors during the fire,and the safety of personnel in any escape lane and the next lane to be reached can be quickly judged.The best route is of great guiding significance for human emergency and safe evacuation.The present dissertation has 31 figures,32 tables and 57 references.