Study On Evacuation Of Intelligent Park Building Fire

With the progress of science and technology,urban buildings in China are gradually developing to be intelligent and park oriented,and there are more and more intelligent parks.Compared with traditional evacuation methods in traditional parks,the fire management platform in smart parks is based on cloud data of the Internet of Things.When a fire occurs,the fire management platform can quickly process fire information and push real-time fire situation and escape path planning information to individuals.Intelligent evacuation is part of the intelligent embodiment of intelligent park.This paper mainly studies the fire evacuation of intelligent park as follows:First,place 2 of Zhengzhou Yida Science and Technology New City Smart Park is taken as the research object.Pathfinder evacuation software was used to model it,and simulation analysis was conducted from the three aspects of the number of people,the distribution of people and the location of fire sources.It was concluded that the information of congestion and fire sources should be taken into account when planning the path of the smart park.Then,the equivalent distance is proposed according to the fire characteristics of the smart park and a path planning model is constructed.The ant colony algorithm was improved from the following aspects: initial pheromone concentration,heuristic function operation,pheromone updating rules,deadlock processing and path smoothing processing,so that the improved ant colony algorithm could be more suitable for the evacuation of intelligent park buildings.Finally,the improved ant colony algorithm is simulated by MATLAB.Compared with the original ant colony algorithm and the accelerated ant colony algorithm under different environmental maps,the superiority of the improved ant colony algorithm in this paper is verified.The improved ant colony algorithm in this paper is applied to the map of the whole site and the local map of the building in the intelligent park no.2 respectively,thus proving the effectiveness of the ant colony algorithm in the real environment map.The research on dynamic path planning of smart park buildings can provide reference for fire treatment in smart park,and reduce people’s property loss and casualties in the park.