Route Optimization Algorithm In Ship Fire Evironment

In recent years,with the development of economic globalization,the global shipping industry has become increasingly prosperous,and the number of ship holdings has increased.Huge ship holdings also mean an increase in the risk of ship accidents and the probability of casualties.According to the statistics of the China National Shipbuilding Industry Association,fire-related accidents accounted for about11% of the shipwrecks in the past years.When a ship fire occurs,evacuation and rescue will be very difficult,which leads to ship fire accidents that often cause huge casualties and property losses.Therefore,it’s necessary to do several adequate researches on the optimization of the evacuation route under the fire environment.Research on the optimization of the evacuation route of ship personnel under fire environment is an inevitable requirement for the safe development of the shipbuilding industry,and it is also a prerequisite for safe evacuation.The main research content of this article:1.Route optimization algorithm based on the macroscopic angle.Compared with the micro model,the algorithm has the advantages of fast calculation speed,determinism,simplicity and practicality.By analyzing the optimal evacuation route,the degree of crowding in the optimized evacuation space is optimized to guide the evacuation of people and make the evacuees evacuate more quickly and effectively.It can solve the problem of how to quickly and safely evacuate marine personnel in a relatively confined space,and improve the emergency escape ability of offshore platforms and ships.2.Smoke flow model under the fire environment.The model is based on an empirical formula,which can quickly obtain the flue gas flow in the cabin after a period of time.Through the automatic fire alarm system,the specific location and intensity of the fire can be known at the first time,and then the smoke spread of the fire can be simulated through the ship fire smoke flow model,so as to predict impassable roads and the estimated potential of current roads.The transit time will improve the accuracy and evacuation capacity of personnel evacuation scheduling to a certain extent.3.Optimization algorithm of ship personnel evacuation route in fire environment.Through the simulation analysis of the flow and spread of smoke in the typical space of the ship through FDS software,the law of visibility reaching the limit time of personnel tolerance in the horizontal and vertical directions is found.The tolerance limit time is combined with the route optimization algorithm as a judgment condition for safe evacuation,thereby determining the available and unavailable time of evacuation roads,and improving the accuracy and evacuation capacity of evacuation scheduling to a certain extent.4.The emergency evacuation and decision-making system.The system can solve the problem of difficulty in obtaining platform conditions in a disaster environment,and the problem of unintelligent personnel guidance devices.Through the video monitoring module,the automatic fire alarm module and the personnel positioning module can obtain the location of the fire and the initial distribution position of the personnel in the first time.Then,through the above-mentioned ship fire personnel evacuation route optimization algorithm,a safe evacuation escape route can be calculated and analyzed based on the smoke information and personnel location information when the fire occurs.Use intelligent guide lamps,mobile phones,large screens and other route guidance devices to communicate the calculated optimal evacuation route to relevant personnel in real time.The route optimization algorithm in this paper under the ship fire environment can avoid the evacuees choosing the nearest exit as the evacuation destination based on the contextual memory for the influence of panic,lack of information and other factors.The phenomenon of instantaneous increase in the density of people at the exit is avoided and secondary accidents such as trampling injuries and deaths are prevented to the greatest extent.The distribution attributes of people flow in the scene are optimized,the total evacuation time is shortened,and the safety of the ship is improved.