Font Size: a A A

Research On Evacuation Simulation Deduction Technology Of People In Buildings Based On Dynamic Monitoring Feedback

Posted on:2021-01-17Degree:MasterType:Thesis
Country:ChinaCandidate:P F YuFull Text:PDF
GTID:2392330623965049Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the acceleration of the urbanization process in China,the proportion of urban fires is increasing year by year,among which the fires in high-rise buildings are endless.Due to the wide range of fires in high-rise buildings,the rapid spread of fire,and the long evacuation distance,if the personnel lack safe and effective evacuation strategies during the evacuation process,it will cause a painful cost of death.With the development of computer technology,the use of simulation technology to simulate the evacuation process of personnel to obtain the optimal evacuation strategy for on-site command and rescue has become the mainstream method in emergency rescue research.However,most of the personnel evacuation models are built on artificial simulation data,and there is a certain deviation from the actual,and the fire scenes are volatile,and the use of ex ante models lacks real-time and effectiveness.Therefore,how to obtain personnel in time and effectively Evacuation strategies are necessary and urgent.In front of the fire scenario is complicated,the traditional static evacuation models cannot deal with emergency fire scenario,in this context,this article based on the dynamic monitoring feedback of fire scenario data to construct the dynamic evacuation model,and applies the model in the evacuation simulation deduction,will realize the world and simulation in parallel execution way of information interaction,to complex reality environment in order to achieve effective control,to deal with the emergency fire scenario can quickly access to effective evacuation strategy,for the rescue work to provide timely,comprehensive,scientific decision support.The main content of this paper includes the following aspects:(1)A multi-agent evacuation model based on the spatio-temporal distribution of personnel was proposed.With real-time feedback of the monitoring area data,this study conducted a feature analysis of the data,optimized the multi-agent evacuation model,and proposed a method based on the spatio-temporal distribution of personnel and the movement of personnel.The regular multi-agent evacuation model improves the simulation and evacuation efficiency compared with the original evacuation.(2)The evacuation simulation deduction technology for dynamic monitoring feedback is proposed.By matching the dynamic feedback data with the plan knowledge base,an evacuation plan similar to the current fire scene is obtained,and the actual situation and the evacuation plan are combined to predict the fire development situation.Establish multiple decision points,conduct multi-branch simulation deduction,and evaluate the deduction plan,establish an evacuation plan on the basis of the optimal deduction plan,and direct the evacuation of personnel on site.Compared with the traditional ex ante model,this technology is more effective and provides decision assistance for decision makers to respond to fire emergencies.(3)Developed an emergency command system,analyzed the system modules through a self-directed design method,described the plan generation module,personnel evacuation path planning module and emergency evacuation simulation deduction module in detail,and finally demonstrated and demonstrated the system Verification,all achieved the expected goal.In the face of fire emergencies,how to obtain an evacuation plan in a timely,scientific,and effective manner is the goal of many researchers at home and abroad.This paper proposes relevant issues for the problem that traditional evacuation models are not highly simulated and cannot respond to fire emergencies The optimization of the model and the derivation of multi-branch dynamic simulation,and finally the establishment of an emergency evacuation system with the help of software to control and evacuate the personnel at the fire site,greatly reducing the casualties and economic losses caused by the fire.
Keywords/Search Tags:Personnel evacuation, Simulation deduction, Multi-agent model, Dynamic monitoring feedback, Route plan
PDF Full Text Request
Related items