风筛式清选装置预测模型的构建与分析  

Construction and analysis of the prediction model of air-and-screen cleaning unit

作　　者：李树兵 李清华 王成 LI Shu-bing;LI Qing-hua;WANG Cheng(Binzhou Academy of Agricultural Sciences,Binzhou 256600,Shandong,China;Dongying No.2 Middle School,Dongying 257000,Shandong,China)

机构地区：[1]滨州市农业科学院,山东滨州256600 [2]东营市第二中学,山东东营257000

出　　处：《湖北农业科学》2022年第14期150-154,164,共6页Hubei Agricultural Sciences

基　　金：山东省重点研发计划(2019GNC106114)。

摘　　要：优化调节风筛式清选装置试验台曲柄转速、离心风机转速、贯流风机转速的运行参数,运用BP神经网络构建预测模型,实现由含杂率、损失率、功耗到曲柄转速、离心风机转速、贯流风机转速的逆向预测。该预测模型可有效解决传统分析方法上对于试验中出现的参数匹配复杂运算问题,为风筛式清选装置关键部件参数匹配及优化设计提供依据。The operating parameters of crank speed,centrifugal fan speed and cross flow fan speed were adjusted.Using BP neural network to constructa prediction model,it could realize the reverse prediction from impurity content,loss rate and power consumption to crank speed,centrifugal fan speed and cross flow fan speed.This prediction model could effectively solve the complex operation problem of parameter matching when using traditional analysis methods in the test.It provided a basis for parameter matching and optimization design of the air-and-screen cleaning unit’s key components.

关 键 词：风筛式清选装置 BP神经网络 预测模型 

分 类 号：S225.3[农业科学—农业机械化工程]