基于大数据预测模型的农机数字化设计研究  

Research on Digital Design of Agricultural Machinery Based on Big Data Prediction Model

作　　者：吴玲 Wu Ling(Luoyang Vocational&Technical College,Luoyang 471003,China)

机构地区：[1]洛阳职业技术学院,河南洛阳471003

出　　处：《农机化研究》2023年第5期196-200,共5页Journal of Agricultural Mechanization Research

基　　金：国家自然科学基金项目(U1904186)。

摘　　要：首先,介绍了大数据的基本概念,设计了基于BP神经网络的大数据挖掘模型,并基于Pro/Engineer实现了农机产品模型参数化设计,基于大数据预测模型实现了农机数字化设计系统。实验结果表明:系统能够快速设计出农机零部件,可较大幅度降低设计周期,减少产品设计修改次数,对于现代化农业设计制造具有重要意义。It first introduces the basic concept of big data and designs the big data mining model based on BP neural network,then realizes the parametric design of agricultural machinery product model based on Pro/Engineer,and realizes the agricultural machinery digital design system based on big data prediction model.The experimental results show that:from the experimental results,it can be seen that the system can quickly design agricultural machinery parts,greatly reduce the design cycle,reduce the number of product design modifications,which is of great significance for modern agricultural design and manufacturing.

关 键 词：BP神经网络 数据挖掘 PRO/ENGINEER 农机数字化 

分 类 号：S22[农业科学—农业机械化工程] TP319[农业科学—农业工程]