Research On Fire Escape Path Planning In Ancient Villages In Southern Anhui

With the rapid development of ancient village tourism,there are more and more potential fire hazards in ancient villages.The ancient village buildings mostly built with wooden or brick structure,the fire resistance of wood in the house is very low due to it is dry perennial.It is easy to burn.The roadways in the ancient village is narrow and perplexing,it is very hard to find the exit especially to the tourists.It is easy to cause the roadway congestion,and then affect escaping.It is a problem worthy of study how to achieve the rapid escape path planning in the complex environment of the ancient village,achieve efficient escape,and reduce casualties.At present,there are a variety of methods for fire escape path planning.The ant colony algorithm is a kind of typical.It is a kind of bionic algorithm;bionic mechanism is very similar to escape behavior in real fire environment.It is suitable to be used as the research method in this paper.However,the algorithm still has some shortcomings.This paper presents an improved ant colony algorithm and an example to verify the work:First,compare some algorithm which used on fire escape path planning,then choose the ant colony algorithm as the basic mathematical method.Next,analysis of ancient village fire characteristics in the environment,starting from the relationship between architecture and architecture,and architecture,analysis of several factors that might cause impact on personnel escape.The factors including the relationship between psychological behavior of some fire products,village produce fire environment falls between people when the width of the road characteristics,the degree of congestion and,these factors quantified.Then,improved the traditional ant colony algorithm based on the above analysis of the quantified factors.Introducing the equivalent distance instead of Euclidean distance in the original algorithm,and then improved expression of heuristic function;the selection of optimal target is the shortest equivalent distance which takes the shortest time;pheromone update strategy and pheromone volatilization factor from the method was improved,in order to improve the convergence of the algorithm and optimal path search.Finally,an example is given to verify the ability of the improved ant colony algorithm to plan the escape path.The process includes turning the actual terrain map into grid map;selected combination of algorithm parameters,select the parameters for this grid map,and discusses the rationality of the parameter combination algorithm has the ability to search verification;verify the escape path for general grid map and join the fire point grid map;improved algorithm verification.The result shows that the parameter combinations are selected in this paper is more reasonable and suitable for this model,algorithm convergence and search ability is good,and can adapt to the environment,dynamic programming of ancient village fire escape path in complex environment,the improved algorithm is better than traditional algorithm in the same environment to improve search ability.