摘要
基于RFID信息网络将物品和信息交互,建立物流供应链工作流程。针对RFID终端数据集构建了供应链的工作流模型,对物流包装、运输、配送、流通信息流设计了RFID数据的预处理算法,丢弃冗余信息,并提出了RFID供应链的数据聚类算法,实现对工作流网络数据的聚类挖掘,提升不同物流管理层次人员的数据需求。在此基础上,基于Web Services架构建立SOA模型整合的物流企业系统,充分利用数据聚类和挖掘为物流企业建立商业智能,从而为RFID在物流业的具体实施提供信息技术设施建设框架。
Based on RFID information network,the logistics supply chain workflow is established.The workflow model of supply chain is constructed for RFID terminal data set,and the preprocessing algorithm of RFID data is designed for logistics packaging,transportation,distribution and circulation information flow.The redundant information is discarded,and the data clustering algorithm RFID supply chain is proposed to realize the clustering mining of workflow network data and enhance the data demand of personnel at different logistics management levels.On this basis,the SOA model integrated logistics enterprise system is established based on Web Services architecture,which makes full use of data clustering and mining to establish business intelligence for logistics enterprises,thus providing information technology facilities construction framework for RFID in the specific implementation of logistics.
作者
霍延军
Huo Yanjun(Yan'an Vocational and Technical College,Yan'an 716000,China)
出处
《单片机与嵌入式系统应用》
2020年第11期17-20,共4页
Microcontrollers & Embedded Systems
关键词
RFID聚类
物流数据
聚类算法
RFID clustering
logistics data
clustering algorithm
