基于异常识别与有损压缩的无线AP数仓构建方法  

A Construction Method of Wireless AP Data Warehousebased on Anomaly Identification and Lossy Compression

作　　者：李明[1] 李明春[1] 刘世超 LI Ming;LI Ming-chun;LIU Shi-chao(FiberHome Telecommunication Technologies Co.,Ltd.,Wuhan 430074,China)

机构地区：[1]烽火通信科技股份有限公司,武汉430074

出　　处：《光通信研究》2022年第5期74-78,共5页Study on Optical Communications

摘　　要：针对近年来电气和电子工程师协会(IEEE)802.11所定义的无线网络通信标准的全面普及,设备使用量和物联(IoT)数据激增,网络传输压力大,数据管理难,数据安全风险大等问题,基于多年的WiFi无线访问接入点(AP)管理以及数据仓库实施经验,文章实现了基于异常识别与有损压缩的无线AP数仓的构建。仿真结果表明,通过对无线AP重复性较高数据的异常识别以及有损压缩,能够切实解决网络设备重复和数据量过大导致的分布式数据仓库存储压力大及通信拥堵问题,大大降低了企业构建物联网数据仓库的成本。In response of the comprehensive popularization of Institute of Electrical and Electronics Engineers(IEEE)802.11 in recent years,the rapid increase of Internet of Things(IoT)data has brought about problems such as high network transmission pressure,difficult data management,and high data security risks.Based on years of experience in WiFi wireless Access Point(AP)management and data warehouse implementation,this article expounds a construction method of wireless AP data warehouse based on anomaly identification and lossy compression.The results show that the abnormal identification and lossy compression of data with high repeatability of wireless AP can effectively solve the problems of high storage pressure and communication congestion in distributed data warehouses which caused by the excessive amount of repeated data of network equipment,and greatly reduce the overall cost when the company implement the data warehouse with IoT datas.

关 键 词：无线访问接入点 异常数据识别 数据仓库 物联网 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]