Fire Inspection Path Planning And System Implementation Based On Improved Ant Colony Algorithm

Fire inspection plays an important role because they involve fire safety that is closely related to life and production.With the rapidly development of Internet technology,the fire management mode has gradually become information and automation.Based on the comprehensive understanding and analysis of the actual demand problems such as fire inspection path planning,this paper deals with the constraints of patrolling the geographical environment,the inefficiency of staff during fixed working hours,and the limited working hours and distance of patrols.A fire inspection path planning method based on improved ant colony algorithm is proposed.The main contents of this study are as follows:(1)Based on the actual needs in the fire inspection process,establish a fire inspection route planning model with minimum time and labor costs.(2)An improved ant colony algorithm is proposed by optimizing the traditional algorithm with slow convergence speed and easy to fall into local optimum.For the key steps of the ant colony algorithm,the first path selection method combining formula probability and random probability effectively increases the diversity and possibility of initial path selection.Secondly,the relationship between each node is found globally to improve the heuristic factor formula,which solves the problem that the heuristic factor value is fixed in the traditional algorithm and has little influence on the later algorithm;the third improved pheromone update formula significantly enhances the ability of the algorithm to jump out of the local optimal solution;the fourth is iterative in the process of incorporating the idea of genetic algorithm,while retaining the better path,the search space of the solution is enlarged,and the efficiency of the algorithm is greatly improved.Through the comparison experiments of the improved ant colony algorithm and the maximum minimum ant colony algorithm and the genetic algorithm proposed in this paper,the advantages of this method in the path planning problem are proved.(3)Designed a fire management system based on improved ant colony algorithm,which greatly improved the efficiency of the inspection staff,proved its reliability through practical application,and was of great significance to fire safety management.