| Fire is one of the major disasters in the mine.When a fire accident occurs,it is very important to choose an escape route quickly and reasonably,which can not only reduce some unnecessary economic losses,but also effectively protect people’s safety.The planning of escape route belongs to the optimal path selection in the path planning.In recent years,the importance of escape route planning is becoming more and more prominent,which is regarded as a research hotspot in many fields.In the field of mining safety,when a mine fire occurs,a correct escape path can make the underground workers reach the exit safely and quickly,and reduce the casualties.In view of the limitations of the traditional method of mine fire escape route planning,a method of escape route planning in mine fire based on information entropy model is proposed in this paper.This method can guarantee the quality of data and improve the efficiency of path planning.Firstly,the factors that affect personnel’s escape in mine fire are determined,including static factors and dynamic factors;Secondly,a three-dimensional model of roadway network is built,and the wind speed,as well as the spread of fire temperature and smoke mass fraction during the mine fire is calculated with Pyrosim.Then,according to the simulation results of the fire,the weight of each influencing factor in different fire conditions is calculated by using the variation coefficient method,and the equivalent length of the roadway in the period of the mine fire is obtained with the information entropy model;Finally,the equivalent length of roadway under different fire conditions is taken as the path weight,and the Dijkstra algorithm is used to obtain the optimal escape path of the mine personnel.Finally,in order to verify the rationality and applicability of this method,this paper takes a mental mine in China as an example to simulate the mine fires in different escape locations and different fire sources.According to the simulation results,this method and the traditional method are respectively used to obtain the optimal escape path during the mine fire.The experimental results show that the method in this paper is superior to the traditional method in both the result of path planning and the efficiency of path planning. |