摘要
随着云时代的来临,大数据吸引了越来越多的关注并充斥着人类经济社会的各个角落,推动再生资源产业与大数据融合已成为可能。本文在此基础上以再生资源产业中常被忽视的过期牛奶为研究对象,首先利用大数据技术针对我国过期牛奶现状进行调查,探讨其中存在的问题;其次针对这些问题提出借力大数据的解决措施;最后针对本项目的社会意义进行客观分析。
With the advent of the cloud era,big data has attracted more and more attention and filled every corner of human economy and society.It is possible to promote the integration of renewable resources industry and big data.On this basis,this paper takes the expired milk which is often ignored in the renewable resources industry as the research object.Firstly,it uses big data technology to investigate the current situation of expired milk in China,and discusses the existing problems;Secondly,in view of these problems,this paper puts forward some solutions by using big data;Finally,the social significance of the project is objectively analyzed.
作者
王菲
李恺昕
杜雯雯
李雨泽
陈佳丽
吕佳慧
WANG Fei;LI Kai-xin;DU Wen-wen;LI Yu-ze;CHEN Jia-li;LV Jia-hui(Liaonng Institute of Science and Engineering,Jinzhou 121000,China)
出处
《价值工程》
2021年第18期168-169,共2页
Value Engineering
关键词
大数据
过期牛奶
再生资源产业
big data
expired milk
renewable resources industry
