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近年来,为强化路面动态监控,各级公安交通管理部门开始大规模建设车辆智能监测记录系统(以下简称卡口系统),随着卡口系统接入的卡口数量日益增多,当卡口的过车数据量大到一定时候,基于传统关系型数据库的比对预警方式,会出现预警时间延迟,无法满足实战的实时性需求。本文针对卡口过车的实时预警要求,对大数据流式计算组件进行了分析和研究,提出了过车信息实时接入、实时比对预警的大数据流式计算技术解决方案,为基层路面民警的及时拦截查处争取了时间。
In recent years, in order to strengthen the dynamic monitoring of pavement, public security traffic management departments at all levels have begun to build a large-scale intelligent vehicle monitoring record system (hereinafter referred to as the bayonet system). With the increasing number of bayonet systems accessed by the bayonet system, When the amount of passing data is large enough, based on the comparison and pre-warning method of the traditional relational database, there will be a delay of the early warning time, which can not meet the real-time requirement of actual combat. In this paper, according to the requirements of real-time early-warning for bayonet passing vehicles, this paper analyzes and studies the big data streaming computing components and proposes a big data streaming computing technology solution that real-time access and real- Police timely intercept the search for time.