多媒体网络视频监控前端数据动态集成仿真

Dynamic Integration Simulation of Multimedia Network Video Surveillance Front-End Data

针对传统多媒体网络视频监控前端数据集成方法存在数据交互时间过长的问题,提出一种多媒体网络视频监控前端数据动态集成方法。划分数据集中的数据流,并对多媒体网络视频监控前端数据集进行分组,并行处理数据流,并将结果进行合并处理,完成数据的动态聚合处理,根据数据的动态聚合处理结果建立监控前端数据动态集成模型,实现监控前端数据的动态集成。采用对比实验的方式,将三种不同的传统多媒体网络视频监控前端数据集成方法与所提方法进行对比,实验结果证明,上述集成方法的数据交互时间最短,在前端数据的动态集成方面更具有优越性。

Due to long data interaction time of traditional method, this article proposed a dynamic integration method for front-end data of multimedia network video monitoring. Firstly, it was necessary to divide the data flow in data set. Secondly, multimedia network video monitoring front-end data sets were grouped. Thirdly, the data flow was processed in parallel and the results were combined to complete dynamic aggregation of data. According to the results of dynamic aggregation, the dynamic monitoring front-end data integration model was built, and thus to realize the dynamic integration of monitoring front-end data. By the comparison experiment, three different methods of multimedia network video monitoring front-end data integration were compared with the proposed method. Simulation results show that the proposed method has the shortest data interaction time. In addition, it is more advantageous in the dynamic integration of front-end data.