Study On Evacuation Characteristics Of Ship Fire Personnel Based On Cellular Automata

In recent years,the Marine transportation industry and the tourism market have experienced significant growth,leading to a rapid increase in the number of ships.However,this growth has also posed significant challenges to the safety of ships,as evidenced by the high incidence of ship fire accidents,which have been a persistent issue in the maritime industry over the last century.Consequently,the safety evacuation of cabin personnel during the fire has become a pressing concern for scholars and researchers.The study of cabin personnel evacuation is a complex and multifaceted topic,encompassing various factors that impact the safety of individuals and require in-depth research.Evacuation path planning and factors influencing personnel evacuation are crucial components of this research.The evacuation process is influenced by the fire environment and individual factors,necessitating a comprehensive approach to analyzing the situation.While escape drills are commonly used to observe personnel evacuation behavior and obtain data,this approach has limitations and cannot provide a reliable basis for personnel safety management and route planning.However,with the aid of computer technology,a new research method has emerged that can aid in the safety evacuation of ship personnel.Using a reasonable evacuation model to simulate personnel evacuation can provide valuable suggestions for personnel evacuation and optimal path planning.This study first analyzed the characteristics of ship fires and quantified the impact of fire factors on personnel evacuation,clarifying the scope of personnel safety evacuation and explaining individual factors.A theoretical overview and rule setting for the cellular automaton model was provided.Next,the calculation methods for smoke field,static field and dynamic field were analyzed,and an idea for simulating personnel evacuation from the field strength level was proposed.The layout and scale of the fourth floor of the ship’s cabin were determined and simplified.A cellular automaton cabin evacuation model was constructed,incorporating fire and individual factors to study the evacuation process and propose rationalization suggestions for personnel evacuation.Furthermore,different fire factors were introduced to optimize the ant colony algorithm,which was combined with the genetic algorithm for optimization.The optimized intelligent algorithm was applied to cabin personnel evacuation to establish a new type of cellular automaton evacuation model.Finally,a program was written using MATLAB software to simulate a three-story cabin as a simulation environment.The feasibility of the optimized algorithm was verified using a single-story cabin.Different working conditions were then set up to simulate personnel evacuation from a three-story cabin under fire using optimized algorithms and genetic ant colony algorithms,planning the best escape route and designing an intelligent evacuation guidance system.