Research On Path Planning Of Mine Fire Rescue Based On Improved Ant Colony Optimization

Mine fire is a serious industrial accident,which may cause personal injuries and significant economic losses.Therefore,when a mine fire occurs,determining a reasonable and effective rescue path can not only provide timely rescue and relief,reduce the economic loss of the mine to a certain extent,but also ensure the life safety of rescuers,which is of great importance to the emergency rescue measures of mining enterprises.In recent years,with the development of mine mechanization and intelligence,the potential sources of fire hazards in mines increased,and the importance of research on rescue path planning has becoming increasingly prominent.At present,the path planning of mine fire emergency rescue mainly exists:(1)The influence factors considered in the rescue path planning are not complete and the calculation of the path planning model is not perfect;(2)The ventilation measures in the mine are not fully considered;(3)The influence of dynamic factors(Temperature,toxic and harmful smoke and visibility)on mine fire rescue route planning is not fully considered and other issues.In this paper,the model and application of emergency rescue route planning for mine fire are studied.First of all,based on the analysis of the influencing factors of the rescue path after the occurrence of the mine fire,from two dimensions divides the static influencing factors(including tunnel length,tunnel slope,wind speed and direction,tunnel type and other factors)and dynamic influencing factors(including temperature,toxic and harmful smoke and visibility factors)in the emergency rescue process.Among them,the static influencing factors are measured by the equivalent length of roadway on a time scale,while the dynamic influencing factors are measured by the risk scale.Then,the calculation method of roadway equivalent length is established,and the Sigmoid algorithm is introduced to evaluate the risk degree.Based on the ant colony algorithm,the roadway equivalent length is taken as the basis of roadway selection,and the risk degree is associated with pheromone volatile factors,and the emergency rescue path planning model of the improved ant colony algorithm is built Finally,taking the-450 m tunnel of an iron mine in Shandong as the engineering background,FDS software is used to simulate the fuel tank fire scene of mine forklift truck.By comparing the smoke concentration spreading law and visibility distribution characteristics in the tunnel under different measures of wind back wind speed,the size of wind back wind speed is determined.In addition,the tunnel network fire simulation was carried out under the reverse wind speed to obtain the values of temperature,toxic and harmful smoke content and visibility in the mine fire tunnel,calculate the equivalent length and risk of the tunnel,and use the Python language to implement the improved ant colony algorithm to obtain the optimal rescue path.To sum up,using the improved ant colony algorithm for mine fire rescue path planning can comprehensively consider the mine fire rescue time and the fire hazards faced by personnel,so as to shorten the time and reduce the danger in the rescue process,and provide guidance and advice for the emergency rescue path after the occurrence of mine fire.