海关物流数据采集与物流风险分析系统  

Customs logistics data collection and logistics riskanalysis system

作　　者：蒙焕兰 刘永志 易健豪 冯力方 谢益峰 Meng Huanlan;Liu Yongzhi;Yi Jianhao;Feng Lifang;Xie Yifeng

机构地区：[1]广西财经学院信息与统计学院

出　　处：《中国宽带》2021年第10期96-97,共2页China BroadBand

基　　金：广西财经学院2020年大学生创新创业训练计划项目(项目编号:202011548018)。

摘　　要：当今社会正处于一个大数据时代,随着各个国家及地区的相互贸易合作往来,物流之间的往来也愈加频繁,因此物流数据逐渐在各个国家及地区发展起来。但是对于海关来说,采用传统的数据采集及物流风险分析是使用人力从各个海运物流网站中输入海运提单号和集装箱号来检索该运单的各种信息及状态,再从各个数据中根据异常海运的特征来识别异常的海运信息。本系统搭建了一个可采集物流信息及物流风险的平台,帮助海关采集集装箱相关信息、检测异常物流过程、提高入关风险识别能力、解放人力。Today's society is in an era of bigdata.With the mutual trade and cooperation of variouscountries and regions,the exchanges between logisticshave become more frequent.Therefore,logistics datahas gradually developed in various countries and regions.However,for the customs,the traditional data collec-tion and logistics risk analysis is to use manpower toenter the ocean bill of lading number and containernumber from various shipping logistics websites to re-trieve the various information and status of the waybill,and then according to the abnormal shipping from eachdata Features to identify abnormal shipping information.This system builds a platform that can collect logis-tics information and logistics risks to help customscollect container-related information,detect abnormallogistics processes,improve entry risk identificationcapabilities,and liberate manpower.

关 键 词：物流 数据采集 数据检测 

分 类 号：F25[经济管理—国民经济]