基于大型物联网技术的电商仓库检测

发布时间：2018-01-14 02:28

本文关键词：基于大型物联网技术的电商仓库检测　出处：《现代电子技术》2017年05期 　论文类型：期刊论文

更多相关文章： 物联网 电子标签 决策树 电商仓库

【摘要】：针对当前检测电商仓库容量或流量精度不高的问题,在大型物联网环境下设计基于决策树主成分分析的电商仓库检测方法。首先基于电子标签技术构建电商仓库存储系统的物联网构架模型,采用超高频射频识别技术追踪电商仓库系统的物流流量,并提取信息特征;在C4.5决策树模型下,分析仓库物流信息特征主成分,实现对电商仓库吞吐量和容量的准确检测和预估;最后通过实验进行性能测试。实验结果表明,采用该方法对仓库的吞吐量预测和物资收发数据实时检测的精度较高,提高了电商仓库的物资收发效率。
[Abstract]:In view of the current electricity supplier warehouse capacity or flow detection accuracy is not high, the electricity supplier warehouse design detection method based on principal component analysis and decision tree in large networking environment. Based on the construction of the electricity supplier warehouse storage system of electronic tag technology networking architecture model, logistics flow using UHF RFID tracking system and the electricity supplier warehouse. In the information extraction feature; C4.5 decision tree model, analysis of the characteristics of warehouse logistics information principal components, to achieve accurate detection of the electricity supplier warehouse throughput and capacity and forecast; finally through the experiment test. The experimental results show that the high precision real-time detection throughput prediction and supplies to send and receive data on the warehouse using the method, improve the material transfer efficiency of electricity supplier warehouse.

【作者单位】：武汉晴川学院计算机学院;
【分类号】：F724.6;TP391.44;TN929.5
【正文快照】： 0引言电商仓库是电子商务整个网络系统进行物资收发和物资存储的终端,电商仓库中库存量的准确检测和预测是保障物资收发安全,提高电商物资收发效率的关键。研究电商仓库的准确检测方法,对促进电子商务和电子物流行业的发展具有重要意义。物联网技术的进步更为有力地推进了优化

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