Research On Multi-source Data Analysis Method Of Exhibition Scene Based On The Mobile Internet Of Things

With the continuous development of information and communication technology,the popularity of mobile terminals and new technique which is merge in an endless stream,the application sides in mobile Internet of things become increasingly widespread,that continue to permeate in all aspects of people's lives,improve life and experience services.To guide the development of economy and technology with the concept of “intelligent “,the process of exhibition "intelligent" becomes quick and its level becomes elevated,the exhibition industry has made more and more contribution to the development of social economy and social life.Exhibition "intelligent" will promote the rapid development of China's exhibition industry,simplify workflow of exhibition to improve the efficiency of the exhibition.Mobile Internet of things apply to exhibition industry that can make exhibition industry get basic service facilities of “big data”.Aiming at the complexity and high coupling of mobile Internet of things,diversity of terminal devices,it has a variety of sources of data and data types.In order to find out the rule phenomenon which may exist or the problem which need to be solved in the course of operation.By collecting the field data in the exhibition,combining data characteristics we can classify the data set according to the problems to be studied.To begin with,the independent booth exhibitors and exhibition booths can use the method of data envelopment analysis,observe the input-output efficiency;Using the DBSCAN method to carry on the spatial clustering to the position point of passenger flow in the pavilion plan according to the centroid method to solve the passenger position.in order to give the regional scope on the map of high density passenger flow we can construct convex polygons of high dense area by using convex hull generation algorithm.Then according to convex polygon region and utilize geographical fence technology we can set up geographical fence,and display to the public on the map.In the end,to calculate the priority of the evacuation route by using the method of central point nearest distance,and determine scheme of stream of people evacuation.Based on the mobile Internet of things in the field of multivariate data to analysis according to the above method that we can obtain following results:(1)To analyze booth and pavilion by using envelope analysis,we can find that most of the samples did not reach the effective DEA unit.It Mainly caused by scale efficiency and technical efficiency,exhibitors need to restart select the position,number and acreage of booth according to their needs,in order to achieve rational allocation of resources with technical efficiency and scale efficiency.achieve the maximum efficiency.(2)To find the position of each person in the passenger flow by using centroid algorithm,Using the density of passenger flow 4 people per square meter can get high-density passenger flow cluster,and extract boundary by using convex hull algorithm.In the end,according to the geographic fence to inform the audience or on the map to show the flow of densely populated areas.(3)Combining efficiency evaluation of passenger flow concentration areas and put forward feasible evacuation plan.Based on the analysis of the data in the field of mobile Internet of things we can find that the results of the envelope analysis can change and improve the current exhibitors' input scheme,and achieve high efficiency.The upper bound of the passenger flow and the interpersonal distance should be as parameters in the application of public space,and according to DBSCAN method to determine the high-dense cluster that is high density passenger flow,it is a sign that causes the stampede and congestion time of passenger flow,can provide supportable scheme for stream of people evacuation.It provides a method combine quantitative and qualitative for the identification and location of densely populated areas according to combine convex polygon region with heat map,and achieve the area quantization of high-density people flow,at last it provide security and risk information for the participants of the exhibition.