Personnel Escape Assisted Decision System Based On Dynamic Evolution Process Of Mine Electromechanical Chamber Fire

Mine fire is one of the five major disasters in coal mine.Affected by fire wind pressure,mine fire often leads to disorder of air flow in roadway.Moreover,the high temperature smoke generated by combustion will spread rapidly and seriously threaten the life and health of underground workers.Therefore,it is very important to evacuate the underground workers in time after the mine fire.As a green passageway for safe evacuation of personnel,the correct and reasonable choice will directly affect the safety of escaped personnel.At present,there are some shortcomings in the planning and decision-making system of mine fire disaster avoidance path,such as the lack of reasonable calculation model,the insufficient consideration of the influence of dynamic parameters(temperature,CO concentration and visibility)and the need for artificial intervention.To address these issues,this paper put forward the research of the personnel escape assisted decision system based on dynamic evolution process of mine electromechanical chamber fire.Based on the systematic analysis of the dynamic evolution characteristics of mine fire,the rules of occurrence and development of mine fire were preliminarily grasped.Therefore,it was proposed to use FDS to obtain dynamic parameters(temperature,CO concentration and visibility)when a fire occurred.At the same time,the obtained dynamic parameters were quantified as passability safety factor.That factor was effectively integrated into the traditional calculation model of equivalent length of escape path,which was conducive to the establishment of the calculation model of equivalent length of escape path in the dynamic evolution process of mine fire.By comparing and analyzing the commonly optimal path calculation methods,the classical Dijkstra algorithm was employed to find the optimal path in the dynamic evolution process of mine fire.Finally,the application of mine optimal path system algorithm was realized using C++ language,and then the software of assistant decision-making system for personnel disaster avoidance was developed.In this paper,in order to obtain the dynamic parameters of fire the numerical simulation of mine mechanical and electrical chamber fire was carried out with a specific mine example.The software of disaster avoidance assistant decisionmaking system was developed according to the established calculation model of disaster avoidance path.In that way the following conclusions can be drawn from the FDS numerical simulation and the operation of the software of the assistant decision-making system for disaster avoidance.In the aspect of smoke spread,the smoke flow has obvious turbulent characteristics in 168 s,330s and 720 s.In terms of temperature,only the electromechanical chamber and node 15 can reach peak temperature above 70?,while the other areas along the escape route is basically below 40?.In terms of visibility,at 245 seconds,the visibility of coal mining face decreases to less than 5 meters,which indicates the latest time for workers to escape.In terms of carbon monoxide concentration,in the period of 468s-693 s,the concentration of each detector along the direction of smoke flow reached the critical value of 200 ppm in turn.The shortest path(15?38?39?16'?12?30 ?29?20?19?18?17?1)value is 1420 m when the dynamic data of mine fire is not considered.Once the dynamic fire data changes are taken into account,the shortest path(15?14?13?12'?12?30?29?20?19?18?17?1)is extended to 1510 m.Therefore,the introduction of fire dynamic parameters completely changed the original route of disaster avoidance(without considering dynamic parameters),and truly realized the safe escape of personnel during the catastrophe period.Thus,the safe escape of personnel during the catastrophic period has been realized.The research in this paper has important guiding significance and application value for people to understand the evolution model of mine dynamic fire,for management decision-makers to accurately judge the fire disaster situation,and for disasterstricken personnel to safely and quickly avoid disasters.