基于大数据的安保押运调配路径优化研究和应用

Research and Application of Big Data-based Security Escort Deployment Path Optimization

安保押运的智慧调配联动是大数据处理的重要研究方向,它基于地图数据采集的精确化,根据数据分析的结果自动智能规划路线的过程。对调配联动中所涉及的关键技术,包括地图数据的采集、Hadoop分布式数据存储、调度路线任务的生成进行了研究和探讨,并且提出了基于大数据的安保押运调配联动系统的架构,最后给出了押运线路的最优方案和押运交接任务先后顺序的问题解决方案。

The intelligent deployment linkage of security escort is an important research direction of big data processing,which refers to the process of automatic intelligent route planning based on the results of data analysis on the accuracy of map data collection.The key technologies involved in the deployment linkage,including map data collection,Hadoop distributed data storage,and dispatch route task generation,are studied and discussed,and the architecture of the security escort deployment linkage system based on big data is proposed,and the optimal solution of the escort route and the sequence of escort handover tasks is given.