Application of Multidimensional Feature Visualization in Emergency Management of Venues

In the background of “Internet+”, the use of advanced information technology and Internet of Things technology to create brand-new “smart venues” has become the main trend now. However, due to the large number of people, complex personnel types and frequent emergencies, it is a challenging task to manage the venue intelligently. This paper introduces a multidimensional feature fusion trajectory clustering algorithm, and designs a visual analysis system. The system can monitor the movement track of the venue personnel in real time, analyze the type of personnel, dig the movement rule of personnel, find abnormal situations in time, prevent and deal with emergencies, and well meet the demand of “smart venue”. By contrast with the existing trajectory clustering methods, the clustering algorithm logic more closely, clustering richer, more realistic value, provides strong technical support for emergency management of venues.