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基于数字孪生技术的气吸滚筒式排种器设计与试验

俞亚新 秦雯冰 徐影 吴思博 王烁 张志远

农业机械学报2026,Vol.57Issue(16):40-50,11.
农业机械学报2026,Vol.57Issue(16):40-50,11.DOI:10.6041/j.issn.1000-1298.2026.16.004

基于数字孪生技术的气吸滚筒式排种器设计与试验

Design and Experiment of Pneumatic Cylinder Seed-metering Device Based on Digital Twin

俞亚新 1秦雯冰 2徐影 2吴思博 2王烁 2张志远2

作者信息

  • 1. 浙江理工大学机械工程学院,杭州 310018||浙江省农业智能感知与机器人全省重点实验室,杭州 310018
  • 2. 浙江理工大学机械工程学院,杭州 310018
  • 折叠

摘要

Abstract

Aiming at the problems of high dependence and long cycle in the design of pneumatic seed metering device,the application of digital twin technology in the design optimization process of seed metering device was proposed.Taking the air-suction drum seed metering device as an example,the design digital twins,including demand model,conceptual scheme model,structural model and parameter optimization model were constructed.Firstly,the requirement analysis was carried out based on the historical data and instance data of the seed metering device design,and the requirement model was established by using the system modeling language(SysML).Secondly,through the morphological matrix,multiple sets of conceptual schemes were generated,and the analytic hierarchy process was used to evaluate the iteration,determine the optimal scheme,and complete the conceptual scheme model design.Thirdly,the structural design of the seed metering device was carried out,and the CFD-DEM coupling method was used to simulate the structure.Based on the simulation results,the structural design was evaluated and optimized iteratively,and the structural model was established.Finally,the particle swarm optimization-back propagation(PSO-BP)neural network prediction model and multi-objective particle swarm optimization algorithm(MOPSO)were used to iteratively optimize the suction hole diameter,drum speed and negative pressure of the seed metering device with the goal of low leakage rate and replay rate,and the parameter optimization model was obtained.A virtual-actual interaction test bench was built to collect the rotation speed and seeding results of the physical entity of the air-suction drum seed metering device,calculate the qualified rate,missed seeding rate and replay rate,and compare the virtual digital twin and physical entity data of the seed metering device.The results showed that the absolute errors of the qualified rate,leakage rate and replay rate between the physical entity seeding results and the design digital twin prediction results were 2.67%,0.36%and 3.03%,respectively.The accuracy of the design digital twin of the air-suction drum seed metering device was verified,which provided ideas for the digital design research and design process optimization of the seed metering device based on digital twin technology.

关键词

气吸滚筒式排种器/数字化设计/数字孪生体/设计过程优化/虚实融合

Key words

pneumatic cylinder seed-metering device/digital design/digital twin/design process optimization/cyber and physical convergence

分类

农业科技

引用本文复制引用

俞亚新,秦雯冰,徐影,吴思博,王烁,张志远..基于数字孪生技术的气吸滚筒式排种器设计与试验[J].农业机械学报,2026,57(16):40-50,11.

基金项目

国家自然科学基金项目(51975538) (51975538)

农业机械学报

1000-1298

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