稻麦联合收获机清选装置智能设计与优化系统研究  

Intelligent Design and Optimization System for Cleaning Device of Rice and Wheat Combine Harvester

作　　者：李青林[1] 宋玉营 姚成建 李文斌[1] 岳颖超 LI Qinglin;SONG Yuying;YAO Chengjian;LI Wenbin;YUE Yingchao(College of Agricultural Engineering,Jiangsu University,Zhenjiang 212013,China)

机构地区：[1]江苏大学农业工程学院,镇江212013

出　　处：《农业机械学报》2021年第5期92-101,共10页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家重点研发计划项目(2017YFD0700101)。

摘　　要：针对传统农机产品研发周期长、设计效率低等问题,构建了一套稻麦联合收获机清选装置智能设计与优化系统。该系统由用户需求模块、知识库和推理模块、参数化建模模块以及智能优化模块组成,可以实现清选装置的智能设计与优化。首先,在SQL Server 2012中建立了清选装置设计知识库,研究了清选装置设计的推理流程,系统可以根据用户需求,调用知识库中的相关设计知识,并使用实例和规则相结合的推理方法进行设计推理,从而输出清选装置关键零部件参数;其次,使用Visual Studio编程软件,结合C++及KF(知识融合)两种开发语言对NX进行二次开发,搭建清选装置参数化模型库,参考知识库和推理模块输出的零部件参数进行建模,得到清选装置部件模型;以清选装置入风口风速、上导风板倾角、下导风板倾角、振动筛频率为优化变量,设计清选装置CFD-DEM耦合仿真的正交试验,通过计算试验过程中的清选含杂率和损失率来评估清选效果;最后,基于仿真结果数据,采用PSO-SVR算法建立清选装置优化变量与清选含杂率、损失率的回归模型,使用SPEA2算法实现清选含杂率、损失率的多目标优化,并得到一组损失率最低的Pareto非劣解集,即当清选装置入风口风速为6 m/s、振动筛频率为4.5 Hz、上导风板倾角为32°、下导风板倾角为18°时,对应的清选装置模型损失率最低,含杂率、损失率分别为1.077%、0.97%。以此为参考,可优化清选装置关键零部件模型设计参数,为稻麦联合收获机清选装置设计提供优化方案。Aiming at the problems of long development cycle and low design efficiency in the process of agricultural machinery product design and development,an intelligent design and optimization system for cleaning device of rice and wheat combine harvester was constructed.The system was composed of user demand module,knowledge base and inference engine module,parametric modeling module and intelligent optimization module,which can realize the design and optimization of cleaning device.Firstly,the design knowledge base of cleaning device in SQL Server 2012 was established,and the inference engine of cleaning device design was studied.According to the user s design requirements,combined with the established knowledge base and inference engine module of cleaning device design,the relevant design knowledge in the knowledge base was called,and the reference method based on case and rule was used for designing,so as to output the parameters of key parts of cleaning device.Secondly,NX was redeveloped in Visual Studio programming software,which combined the two development languages,C++and KF(knowledge fusion).In this way,the parametric model library of cleaning device was built,and then some key parts of cleaning device could be built rapidly in this library.Thirdly,the orthogonal tests of the CFD EDEM coupling simulation of the cleaning device were designed with the air inlet velocity of the cleaning device,the inclination angle of the upper air guide plate,the inclination angle of the lower air guide plate and the vibration screen frequency as optimization variables.The cleaning impurity rate and loss rate in the test process were calculated to evaluate the cleaning effect.Finally,based on the simulation data,PSO SVR algorithm was used to construct the regression model of the optimization variables,the cleaning impurity rate and the cleaning loss rate.After that,the SPEA2 algorithm was used to realize the multi-objective optimization of the cleaning impurity rate and loss rate,and to obtain a set of Pareto non-inferior soluti

关 键 词：稻麦联合收获机 清选装置 智能设计与优化系统 参数化建模 多目标优化 

分 类 号：S225.3[农业科学—农业机械化工程]