Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Fire path planning based on BIM technology and improved ant colony algorithm
Aiming at the safety and efficiency of evacuation in fire environment, a 3d dynamic evacuation path planing method based on BIM techmnology and improved ant colony algorithm was proposed. Using BIM technology to build a parameterized model, as well as using fire dynamics software to simulate the model of the fire scene, and re-planning the evacuation path To solve the problem of insuficent inial pheromone of ant colony agorithm, the heuristic function was improved and the end point expectation was introduced.The experimental results show that this method can effectively improve the safety, ameliorate the initial path search efficiency of ant colony algorithmn,optimize the path length and make the fire evacuation path more intuitve,realize the three-dimensional dynamic evacuation path guidance of buildings, and ensure the safety of personnel.
Fire path planning based on BIM technology and improved ant colony algorithm
Aiming at the safety and efficiency of evacuation in fire environment, a 3d dynamic evacuation path planing method based on BIM techmnology and improved ant colony algorithm was proposed. Using BIM technology to build a parameterized model, as well as using fire dynamics software to simulate the model of the fire scene, and re-planning the evacuation path To solve the problem of insuficent inial pheromone of ant colony agorithm, the heuristic function was improved and the end point expectation was introduced.The experimental results show that this method can effectively improve the safety, ameliorate the initial path search efficiency of ant colony algorithmn,optimize the path length and make the fire evacuation path more intuitve,realize the three-dimensional dynamic evacuation path guidance of buildings, and ensure the safety of personnel.
Fire path planning based on BIM technology and improved ant colony algorithm
Wang, Wen-Zhang (Autor:in) / Yang, Jing (Autor:in) / Shao, Ru-Ping (Autor:in)
International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022) ; 2022 ; Zhuhai,China
Proc. SPIE ; 12288
02.12.2022
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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