面向公共安全数据处理的浪涌模型研究应用

近年来,随着平安城市和智慧城市项目的建设和发展,视频监控系统已经成为公安机关治安管控、打击犯罪、预防应急突发事件的有效手段。随着网络通信技术的迅速发展以及移动智能终端(如智能手机、平板电脑等)的快速普及,智能终端已经普遍携带视频监控、音频、加速传感器等感知设备。部分高端智能终端所能携带的视频设备已经超过部分低端的视频监控设备。智能终端的大量普及使得构建以人为中心的感知与计算网络成为可能。对不同信息空间的信息进行有效融合,可以加强对于公共安全事件的有效感知与检测。针对公共安全事件多源信息的融合问题,提出了数据浪涌模型,并对该模型进行了定义。同时利用该模型对人证合一系统进行了实例验证。开发的人证合一系统已经应用于北京市的多个长途车站与火车站。

Data Surge Models for Public Security Data Processing and Its Application in Unity of Security System

In recent years,with the construction and development of the intelligent City project and safe city,video surveillance systems have become a efficient way of public security authority security control,combating crime,and preventing emergency incidents.With the rapid development of network communication technology and mobile intelligent terminals (such as smart phones,tablets,etc),the rapid proliferation of smart terminals has carried sensing devices such as video surveillance,audio,speed sensors and so on.Video equipment parts in high-end smart terminal can carry over parts of the lo-wer end of video surveillance equipment.Intelligent terminal mass popularity makes building a people-centric sensing and computing networks possible in order to achieve the perfect fusion of the physical world and the digital world.Effective integration of different information spaces of information can enhance public safety and effective sensing and detection.According to the multi-source information fusion of public safety incidents,surge of data model was proposed,and the model was defined.And witness in one system by the model was verified.The unity of witness systems have been developed in several Beijing bus stations and train stations.