农业机械学报2024，Vol.55Issue(5)：108-120,13.DOI:10.6041/j.issn.1000-1298.2024.05.010
联合收获机轻量级数字孪生系统构建方法研究
Construction Method and Application Example of Lightweight Digital Twin System of Combine Harvester
摘要
Abstract
Aiming at the problems of the existing agricultural equipment digital twin system development difficulty,high configuration requirements and poor portability,a lightweight network-based digital twin system construction method for combine harvester was proposed,which contained the realization of multiple subsystems such as physical,virtual,data interaction,model computation and human-computer interaction.Based on the technical characteristics of digital twin and the operational characteristics of combine harvester,a lightweight digital twin system framework was designed based on JavaScript language.By adopting Solidworks and CMdevelopment kit tools for the model lightweight processing and coordinate system integration of the digital twin system,it achieved a significant reduction of the system's hardware requirements and memory occupation without affecting the model's accuracy and functionality.The lightweight network-based combine harvester digital twin system was developed by using a Lovol GM 100 combine harvester as an object to provide a joint simulation,analysis,and validation platform for performance analysis,real-time monitoring,instantaneous computation,and remote manipulation of the combine harvester digital twin system.To verify the performance and functionality of the digital twin system,twin system performance tests and fuel consumption prediction experiments were conducted.Tests showed that the response speed was within 78 ms at a data update frequency of 20 Hz,and the memory occupation was within 331 MB in the performance test,and the average occupancy of the system's CPU and GPU in the running state was 17％and 30％,respectively;and the system's frame rate can be maintained at 75.6 f/s even under high-intensity operation.Under normal operation,the average error of the fuel consumption prediction model was 0.34 L/h,with an average relative error of only 2.51％.This system can provide a low-cost,high-efficiency digital twin lightweight construction scheme,which provided a useful reference for the further promotion and application of digital twins in the field of agricultural equipment.关键词
联合收获机/数字孪生/轻量级/运动逻辑建模/齐次矩阵Key words
combine harvester/digital twin/lightweight/motion logic modeling/homogeneous matrix分类
农业科技引用本文复制引用
马博文,刘孟楠,尹彦鑫,孟志军,张宾,张亚伟,温昌凯,张安琪..联合收获机轻量级数字孪生系统构建方法研究[J].农业机械学报,2024,55(5):108-120,13.基金项目
国家重点研发计划项目(2021YFD200050302)、智能农业动力装备全国重点实验室开放课题项目(SKLIAPE2023005)和国家自然科学基金面上项目(32171907) （2021YFD200050302）
