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Study On The Planning Of Fire Evacuation In Large Life Supermarket

Posted on:2019-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2322330566464333Subject:Engineering
Abstract/Summary:PDF Full Text Request
In view of the actual situation of large-scale supermarket fire evacuation at present,the current research status of fire evacuation and the research progress of evacuation route planning are analyzed.And the development status and trend of intelligent evacuation system at home and abroad are discussed.Based on the study of the core issues of intelligent evacuation,the paper studies three evacuation route planning algorithms: grid ant colony algorithm,Dijkstra algorithm,potential energy trend algorithm,the principle of the algorithm and the mathematical model,and according to the research object The algorithm improves and optimizes the three algorithms respectively,and introduces the heuristic function to the ant colony algorithm to enhance the goal enlightenment,which makes the algorithm search more efficient.The multisource target programming is introduced into the Dijkstra algorithm,Source planning path is more suitable for large-scale supermarkets fire evacuation route planning;potential energy trend algorithm introduced search coefficient to avoid the algorithm into a local minimum situation,and the use of path comparison method has been planned to optimize the path to make the path more Straight,reasonable.The optimized algorithm program is compiled under LabVIEW2015 development environment so that each algorithm can run in simulation.The feasibility of each algorithm is verified through a large number of simulation experiments,the advantages and disadvantages of each algorithm are analyzed,and different algorithms are compared by comparison experiments.It is concluded that Dijkstra algorithm is the best algorithm for fire evacuation route planning in large-scale supermarket.Later,the control algorithm can be linked with the fire detection equipment.The fire information detected by the detection equipment can be used to define the danger area in real time.The algorithm can plan out the best evacuation route for each node in the whole world while avoiding the danger area,Buried indicator shows the direction of each node’s path to avoid congestion and blind evacuation caused by the crowd’s and panic psychology in case of emergency.Simulation results show that this evacuation system can effectively avoid obstacles and dangerous areas and quickly plan the evacuation route of each node.
Keywords/Search Tags:Fire evacuation, Path planning, Ant Colony Algorithm, Dijkstra algorithm, Potential energy trend algorithm
PDF Full Text Request
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