Construction method of high-horsepower tractor digital twin [version 1; peer review: 1 approved, 2 approved with reservations]

Background: Agricultural machinery equipment is the core element of advanced agricultural productivity. The operation system of agricultural machinery equipment involves machine-human-environment-society interactions. Limited by the production mode, operation mode, etc., the design and development,...

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Main Authors: Zihan Yang, Yuefeng Du, Zhenghe Song, Du Chen, Zhongxiang Zhu, Yanan Zhang
Format: Article
Language:English
Published: F1000 Research Ltd 2022-09-01
Series:Digital Twin
Subjects:
Online Access:https://digitaltwin1.org/articles/2-12/v1
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author Zihan Yang
Yuefeng Du
Zhenghe Song
Du Chen
Zhongxiang Zhu
Yanan Zhang
author_facet Zihan Yang
Yuefeng Du
Zhenghe Song
Du Chen
Zhongxiang Zhu
Yanan Zhang
author_sort Zihan Yang
collection DOAJ
description Background: Agricultural machinery equipment is the core element of advanced agricultural productivity. The operation system of agricultural machinery equipment involves machine-human-environment-society interactions. Limited by the production mode, operation mode, etc., the design and development, manufacturing, operation and maintenance control, recycling and other links of agricultural machinery equipment are still independent of each other. The massive information in the agricultural production process has not been fully utilized, so there are some outstanding problems such as low operating performance, low production efficiency, and poor integration of agricultural machinery and agronomy. Methods: Focusing on the agricultural production process, this paper proposes the construction method for a high-horsepower tractor digital twin, and expounds on its operation mechanism. Taking high-horsepower tractor ploughing operation as an example, by deploying tractors, central servers, and an Internet of Things (IoT) platform, we developed a digital twin service platform for the agricultural production system of intelligent agricultural machinery equipment and built a tractor digital twin to verify the effectiveness of the proposed method. Results: The accuracy rate of the tractor ploughing quality prediction service based on this platform is 96.65%. Under open-loop control, the number of excellent, good, medium and poor sets of the tractor ploughing quality are 153, 955, 1470, and 1422, respectively. After adopting closed-loop control, the number of excellent and good sets increased by 378, and 821, respectively, and the number of medium and poor groups decreases by 119 and 1080, respectively. Through this platform, the operation quality can be effectively and accurately predicted and improved, which verifies the effectiveness of the proposed construction method of high-horsepower tractor digital twin. Conclusions: This research provides a method framework for the construction of the digital twin of tractor operation and maintenance control processes, and provides strong support for the vigorous development of intelligent agriculture.
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publishDate 2022-09-01
publisher F1000 Research Ltd
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series Digital Twin
spelling doaj-art-d322e8c2eb4f4b268939ec4feee4d3252025-08-20T01:58:54ZengF1000 Research LtdDigital Twin2752-57832022-09-01210.12688/digitaltwin.17615.118894Construction method of high-horsepower tractor digital twin [version 1; peer review: 1 approved, 2 approved with reservations]Zihan Yang0Yuefeng Du1Zhenghe Song2Du Chen3Zhongxiang Zhu4Yanan Zhang5https://orcid.org/0000-0001-7081-4569College of Engineering, China Agricultural University, Beijing, 100083, ChinaCollege of Engineering, China Agricultural University, Beijing, 100083, ChinaCollege of Engineering, China Agricultural University, Beijing, 100083, ChinaCollege of Engineering, China Agricultural University, Beijing, 100083, ChinaCollege of Engineering, China Agricultural University, Beijing, 100083, ChinaCollege of Engineering, China Agricultural University, Beijing, 100083, ChinaBackground: Agricultural machinery equipment is the core element of advanced agricultural productivity. The operation system of agricultural machinery equipment involves machine-human-environment-society interactions. Limited by the production mode, operation mode, etc., the design and development, manufacturing, operation and maintenance control, recycling and other links of agricultural machinery equipment are still independent of each other. The massive information in the agricultural production process has not been fully utilized, so there are some outstanding problems such as low operating performance, low production efficiency, and poor integration of agricultural machinery and agronomy. Methods: Focusing on the agricultural production process, this paper proposes the construction method for a high-horsepower tractor digital twin, and expounds on its operation mechanism. Taking high-horsepower tractor ploughing operation as an example, by deploying tractors, central servers, and an Internet of Things (IoT) platform, we developed a digital twin service platform for the agricultural production system of intelligent agricultural machinery equipment and built a tractor digital twin to verify the effectiveness of the proposed method. Results: The accuracy rate of the tractor ploughing quality prediction service based on this platform is 96.65%. Under open-loop control, the number of excellent, good, medium and poor sets of the tractor ploughing quality are 153, 955, 1470, and 1422, respectively. After adopting closed-loop control, the number of excellent and good sets increased by 378, and 821, respectively, and the number of medium and poor groups decreases by 119 and 1080, respectively. Through this platform, the operation quality can be effectively and accurately predicted and improved, which verifies the effectiveness of the proposed construction method of high-horsepower tractor digital twin. Conclusions: This research provides a method framework for the construction of the digital twin of tractor operation and maintenance control processes, and provides strong support for the vigorous development of intelligent agriculture.https://digitaltwin1.org/articles/2-12/v1Digital twin intelligent agricultural machinery equipment agricultural production systemeng
spellingShingle Zihan Yang
Yuefeng Du
Zhenghe Song
Du Chen
Zhongxiang Zhu
Yanan Zhang
Construction method of high-horsepower tractor digital twin [version 1; peer review: 1 approved, 2 approved with reservations]
Digital Twin
Digital twin
intelligent agricultural machinery equipment
agricultural production system
eng
title Construction method of high-horsepower tractor digital twin [version 1; peer review: 1 approved, 2 approved with reservations]
title_full Construction method of high-horsepower tractor digital twin [version 1; peer review: 1 approved, 2 approved with reservations]
title_fullStr Construction method of high-horsepower tractor digital twin [version 1; peer review: 1 approved, 2 approved with reservations]
title_full_unstemmed Construction method of high-horsepower tractor digital twin [version 1; peer review: 1 approved, 2 approved with reservations]
title_short Construction method of high-horsepower tractor digital twin [version 1; peer review: 1 approved, 2 approved with reservations]
title_sort construction method of high horsepower tractor digital twin version 1 peer review 1 approved 2 approved with reservations
topic Digital twin
intelligent agricultural machinery equipment
agricultural production system
eng
url https://digitaltwin1.org/articles/2-12/v1
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