摘要
本文基于大数据的背景,简要介绍了数据挖掘的概念,研究对象以及部分算法,并阐述了数据挖掘的基本流程。结合冷链物流行业目前已存在的统计数据,介绍了该行业目前现状,重点阐述了该行业在发展上升过程中所面临的一系列亟待解决的问题;梳理出冷链物流领域大数据的来源及分类;认为应用数据挖掘技术可推进冷链物流行业今后的转型发展,提出了数据挖掘在节能模式识别,智能控制优化以及故障诊断及预测等方面的用途;利用大数据可最终达到完善冷链体系,整合冷链资源,提升产品品质,降低物流成本等效果。
Based on the big data background,it's briefly introduced that the concept of data mining,research objects and some algorithms.In addition,the basic process of data mining is expounded.Combined with its existing statistical data,it is described that the current status of the cold-chain logistics industry and a series of problems to be solved in the process of development of the industry.And the source and classification of big data aresorted out in the field of cold-chain logistics industry.Then the application of data min-ing promotes the transformation and development of the cold-chain logistics industry in the future,which are the application of energy saving pattern recognition,intelligent con-trol optimization and fautt diagnosis and prediction.Finally,the CCL industry can achieve promotionof cold-chain logistics,integration of cold-chain resources,improvement of product quality and reduction of logistics cost with data mining.
作者
寻惟德
陈征
陈焕新
郭亚宾
袁玥
刘桢
Xun Weide;Chen Zheng;Chen Huanxin;Guo Yabin;Yuan Yue;Liu Zhen(Huazhong University of Science and Technology,School of Energy and Power Engineering;Yichang YinLing Refrigeration Equipment Co.,Ltd.;Huazhong University of Science and Technology,China-EU Institute for Clean and Renewable Energy)
出处
《制冷与空调》
2018年第3期78-85,共8页
Refrigeration and Air-Conditioning
关键词
冷链物流
大数据
数据挖掘
cold-chain logistics
big data
data mining
