大数据时代下农机装备制造业物联网技术研究  

Research on Internet of Things Technology of Agricultural Machinery Equipment Manufacturing Industry in the Era of Big Data

作　　者：王苗[1] 杨鹏[2] Wang Miao;Yang Peng(School of Information Technology,Ningxia Vocational Technical College of Industry and Commerce,Yinchuan 750021,China;School of Computer Science and Engineering,North Minzu University,Yinchuan 750021,China)

机构地区：[1]宁夏工商职业技术学院信息技术学院,银川750021 [2]北方民族大学计算机科学与工程学院,银川750021

出　　处：《农机化研究》2023年第1期214-218,共5页Journal of Agricultural Mechanization Research

基　　金：宁夏回族自治区"十三五"高等学校本科重点建设专项(2018-09);宁夏工商职业技术学院院级科研项目(NXGSKY2019-39)。

摘　　要：为了提高农机装备制造的效率和水平,实现产业结构的调整,提升企业的竞争力,在大数据时代背景下,将物联网技术引入到了农机装配制造系统的设计上,采用神经网络分析算法加快了数据的分析,提高了零件制造信息的查询能力,并在生产监控、质量溯源、仓储管理和物流追踪等方面对其作用进行了论证。以变速箱体的设计生产为例,对物联网在农机制造装配系统中的作用进行了验证,结果表明:大数据物联网可以实现变速箱体的协同设计,并可完成在线检测、仓储和物流管理等功能,有效缩短了设计周期,降低了制造成本。In order to improve the efficiency and level of agricultural machinery equipment manufacturing,realize the adjustment of industrial structure and enhance the competitiveness of enterprises,it introduced the Internet of things technology into the design of agricultural machinery assembly manufacturing system under the background of big data era,and used the neural network analysis algorithm to speed up the data analysis and improve the query ability of parts manufacturing information.It demonstrates its role in storage management and logistics tracking.Finally,taking the design and production of gearbox as an example,it verified the role of Internet of things in agricultural machinery manufacturing and assembly system.The verification results showed that the Internet of things can achieve collaborative design of gearbox,and complete online detection,storage and logistics management functions,effectively shorten the design cycle and save manufacturing costs.

关 键 词：农机装备制造 大数据时代 神经网络 数据挖掘 物联网 

分 类 号：S126[农业科学—农业基础科学] TP311[自动化与计算机技术—计算机软件与理论]