Digital Twins in Plant Factory: A Five-Dimensional Modeling Method for Plant Factory Transplanter Digital Twins

Author:

Chen Kaikang12,Zhao Bo2,Zhou Haiyan2,Zhou Liming2,Niu Kang2,Jin Xin3,Li Ruoshi3,Yuan Yanwei2,Zheng Yongjun1

Affiliation:

1. Department of Electrical and Mechanical Engineering, College of Engineering, China Agricultural University, Beijing 100089, China

2. National Key Laboratory of Agricultural Equipment Technology, Chinese Academy of Agricultural Mechanization Sciences, Beijing 100083, China

3. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China

Abstract

To address challenges such as the complex correlations among multiple parameters during the modeling process of plant factory transplanters, the large differences between simulations and actual models, and the difficulties in data acquisition and processing, this paper proposes the concept of a Plant Factory Transplanter (PFT) digital twin five-dimensional model based on research of plant factory transplanters. The PFT digital twin five-dimensional model builds on traditional 3D modeling and includes physical entities, virtual models, services, twin data, and connecting interactions. This study delves deeply into the connotations and construction methods of the PFT five-dimensional model from the five aspects of PFT physical entity, virtual entity, services, twin data, and connections, and illustrates the implementation steps and effects of each link. Finally, practical examples of the application of the PFT digital twin five-dimensional model are presented in actual scenarios. The five-dimensional modeling approach for plant factory transplanters based on digital twins can monitor the working status of transplanters online and evaluate the effectiveness of transplantation. This method overcomes problems such as poor adaptability and difficulty in updating physical models, thus improving the efficiency of monitoring and optimizing configuration parameters. Moreover, the generated virtual entities are more intuitively reflected in the control interface, significantly reducing the reliance of equipment operators on relevant professional skills. In the future, the proposed digital twin five-dimensional model is expected to be further refined and optimized, with creation tools and application scenarios studied. Application research will also be conducted to meet different application requirements.

Funder

National Key Research and Development Program of China Sub-project

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Reference28 articles.

1. Automation and robotics in greenhouses;Achieving Sustainable Greenhouse Cultivation,2019

2. Optmization Design and Experiment on Eight-linkage Planting Mechanism of Dryland Transplanter;Yin;Nongye Jixie Xuebao/Trans. Chin. Soc. Agric. Mach.,2020

3. Kinematics model and parameter optimization of planting process of rape carpet seedling transplanter;Jiang;Trans. Chin. Soc. Agric. Eng.,2018

4. Parameters optimization of separating-planting mechanism in transplanter based on kinematics objective function;Dai;Trans. Chin. Soc. Agric. Eng.,2014

5. A Study on Improving the Performance of the Planting Device of a Vegetable Transplanter;Jo;J. Biosyst. Eng.,2018

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3