Intelligent Evacuation Technology of Metro Station Fire Based on Surveillance Video
Fire is one of the most serious accidents occurring at urban rail transit stations.A scientific and reasonable safety evacuation plan is essential to ensure the safety of passengers in the event of a fire.However,it is difficult to dynamically adjust the evacuation routes in the current subway station fire evacuation plan according to the fire situation.This study used computer vision technology to identify personnel distribution information and fire locations based on the monitoring system in the subway station.A spatial topology model was developed,and an improved ant colony algorithm was used to plan an evacuation route that takes the shortest time and has fewer turns to provide a more scientific and reasonable evacuation route for evacuating passengers.The effectiveness of the evacuation plan was verified by applying it to three scenarios.
urban rail transitcomputer visiondistribution of personnelpath planningintelligent evacuationfire
万方数据
维普
