基于模糊聚类算法的电子档案分类管理系统  

Electronic Archives Classification Management System Based on Fuzzy Clustering Algorithm

作　　者：郑黎明 Zheng Liming(Baoding Talent Exchange Service Center,Baoding 071000,China)

机构地区：[1]保定市人才交流服务中心,河北保定071000

出　　处：《兵工自动化》2024年第7期27-30,51,共5页Ordnance Industry Automation

摘　　要：为增强电子档案资料管理水平,设计一种基于单标签射频识别(radio frequency identification,RFID)的电子档案分类管理系统。使用RFID搭建系统框架,通过中心数据库、终端管理器模块实现RFID数据存储与传输,运用文件管理、档案管理、开发利用及系统维护4个模块完成电子档案分类管理日常运维;引入模糊聚类算法提取电子档案数据信息熵,使用关联规则实现数据融合与自主调度,特征分解数据运行状态信息,并通过神经网络组建分类器对电子档案分类。实验结果证明:该系统运行时能实现高负载均衡,且CPU利用率低,在分类管理方面拥有准确率高、响应速率快等优势。In order to enhance the management level of electronic archives,an electronic archives classification management system based on single tag radio frequency identification(RFID)is designed.Use RFID to build the system framework,realize the storage and transmission of RFID data through the central database and terminal manager module,and use four modules,including file management,file management,development and utilization,and system maintenance,to complete the daily operation and maintenance of electronic file classification management;The fuzzy clustering algorithm is introduced to extract the information entropy of electronic archives data,the association rules are used to achieve data fusion and autonomous scheduling,the feature decomposition data operation state information,and the neural network classifier is established to classify electronic archives.The experimental results show that the system achieves high load balancing,low CPU utilization,and has the advantages of high accuracy and fast response rate in classification management.

关 键 词：单标签RFID 电子档案 分类管理 系统设计 模糊聚类 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]