LBS大数据在大型聚集活动中的情报预警应用

发布时间：2018-12-10 15:20

【摘要】：[目的/意义]大数据时代,如何有效监测大型聚集活动中人流、车流、客流、应急部署、网络舆情等实时LBS位置数据,并结合相关挖掘模型与算法快速做出研判与预警,已成为当今大型聚集活动中情报工作的研究热点。[方法/过程]在总结分析大型聚集活动情报预警工作的基础上,分析了LBS大数据的潜在价值,提炼了LBS大数据的显著特征,提出了利用LBS大数据搭建大型聚集活动突发事件应急情报体系中LBS大数据综合监测预警平台的构想。[结果/结论]从数据层、挖掘层、应用层三个层面剖析了该平台的组织架构及具体应用场景,揭示了LBS大数据在大型聚集活动中情报预警工作中的巨大潜力。
[Abstract]:[objective / significance] in big data's time, how to effectively monitor real-time LBS location data such as passenger flow, traffic flow, passenger flow, emergency deployment, network public opinion and so on in large-scale gathering activities, and how to quickly make a judgment and early warning combined with relevant mining models and algorithms. Nowadays, it has become the research hotspot of information work in large-scale gathering activities. [methods] on the basis of summarizing and analyzing the early warning work of large-scale gathering activities, this paper analyzes the potential value of LBS big data, and abstracts the remarkable characteristics of LBS big data. This paper puts forward the idea of using LBS big data to set up a comprehensive monitoring and early warning platform of LBS big data in the emergency information system of large-scale gathering activities. [results / conclusion] the organizational structure and application scenario of the platform are analyzed from three aspects: data layer, mining layer and application layer, and the great potential of LBS big data in information early warning work in large-scale gathering activities is revealed.
【作者单位】：中国刑事警察学院;井冈山大学;
【基金】：辽宁省社会科学规划基金项目“大型聚集活动拥挤踩踏事件中的情报信息工作机制研究”(编号:L15BTQ005)研究成果之一中国刑事警察学院中央高校基本科研业务费重大项目培育计划项目“Hadoop架构下基于KNN文本分类算法的公安情报分析关键技术研究”(编号:D2015012)研究成果之一公安部技术研究计划基科费项目“Hadoop架色下基于KNN文本分类算法的公安情报分析关键技术研究”(编号:2016JSYJC57)研究成果之一
【分类号】：D631.1

【参考文献】