Research On An Emergency System For Evacuating From Urban Complex Based On Lightweight BIM

In recent years,with the rapid development of the domestic economy,the number of urban complexes has risen as a composite building integrating office,business,hot el and apartment functions.It has a wide variety of formats,large building volumes,high personnel density,and complex structures.It is very easy for people to form bli nd escapes in the event of a disaster.Therefore,how to allow personnel to escape s afely and quickly in high-rise,super-high-rise complexes with complex structures is a major issue for emergency evacuation of urban complexes.Based on the above issues,this paper focuses on the data collection,path planning and coordination in the emer gency evacuation of urban complexes.Firstly,the emergency evacuation data collection method is analyzed.Based on th e introduction of the BIM(Building Information Modeling)full life cycle model,a lig htweight building model method is proposed.According to the characteristics of BIM model,the concept of point importance is introduced in the edge folding algorithm b ased on quadratic error measure to emphasize the model contour.At the same time,on the basis of this,a method of lightweighting building data using secondary develop ment functions is proposed to maximally lighten the model;secondly,a multi-objective path planning algorithm is used to utilize relevant building data provided by lightwei ght BIM,Planning for horizontal evacuation routes.Considering the influence of path length,risk,and personnel density on the evacuation path planning,the evacuation pa th planning model is established by the advantages of fast convergence speed and goo d efficiency of particle swarm optimization in path optimization;again,support vector regression(SVR)is established.The path congestion algorithm model predicts the pathstate of vertical areas.Taking the number of personnel,personnel speed,risk,and d irection of movement as basic attributes,the data formats,processing methods,key pa rameters,and regional thresholds required by the algorithm are set to better improve t he accuracy of prediction;finally,through light Quantitative data collection methods th at quantify BIM and the Internet of Things,as well as a full-architecture path plannin g algorithm that combines particle swarm optimization with support vector regression(SVR),establish an urban complex emergency evacuation system.Combined with the fire instance data collection and simulation analysis of the urban complex disaster em ergencies,the feasibility of the whole building path planning algorithm in the emergen cy evacuation system was confirmed.In urban complexes with complex structures and large people flows,emergency e vacuation is an important part of mitigating disaster losses and safeguarding people’s li fe safety.If we can stand in the perspective of building evacuation and improve the r ationality of evacuation route planning,we will greatly reduce the Loss of life and pr operty caused by unexpected events.