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Design and analysis of a performance monitoring system for a seed metering device based on pulse width recognition

To realize real-time and accurate performance monitoring of large- and medium-sized seed metering devices, a performance monitoring system was designed for seed metering devices based on LED visible photoelectric sensing technology and a pulse width recognition algorithm. Through an analysis of the...

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Detalles Bibliográficos
Autores principales: Liu, Zhengyuan, Xia, Junfang, Hu, Mengjie, Du, Jun, Luo, Chengming, Zheng, Kan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694462/
https://www.ncbi.nlm.nih.gov/pubmed/34936685
http://dx.doi.org/10.1371/journal.pone.0261593
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author Liu, Zhengyuan
Xia, Junfang
Hu, Mengjie
Du, Jun
Luo, Chengming
Zheng, Kan
author_facet Liu, Zhengyuan
Xia, Junfang
Hu, Mengjie
Du, Jun
Luo, Chengming
Zheng, Kan
author_sort Liu, Zhengyuan
collection PubMed
description To realize real-time and accurate performance monitoring of large- and medium-sized seed metering devices, a performance monitoring system was designed for seed metering devices based on LED visible photoelectric sensing technology and a pulse width recognition algorithm. Through an analysis of the of sensing component pointing characteristics and seed motion characteristics, the layout of the sensing components and critical photoelectric sensing system components was optimized. Single-grain seed metering devices were employed as monitoring objects, and the pulse width thresholds for Ekangmian-10 cotton seeds and Zhengdan-958 corn seeds were determined through pulse width threshold calibration experiments employed at different seed metering plate rotational speeds. According to the seeding quantity monitoring experiments, when the seed metering plate rotational speed ranged from 28.31~35.71 rev/min, the accuracy reached 98.41% for Ekangmian-10 cotton seeds. When the seed metering plate rotational speed ranged from 13.78~19.39 rev/min, the seeding quantity monitoring accuracy reached 98.19% for Zhengdan-958 corn seeds. Performance monitoring experiments revealed that the qualified seeding quantity monitoring accuracy of cotton precision seed metering devices, missed seeding quantity monitoring accuracy, and reseeding quantity monitoring accuracy could reach 98.75%, 94.06%, and 91.30%, respectively, within a seeding speed range of 8~9 km/h. This system meets the requirements of real-time performance monitoring of large- and medium-sized precision seed metering devices, which helps to improve the operational performance of seeding machines.
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spelling pubmed-86944622021-12-23 Design and analysis of a performance monitoring system for a seed metering device based on pulse width recognition Liu, Zhengyuan Xia, Junfang Hu, Mengjie Du, Jun Luo, Chengming Zheng, Kan PLoS One Research Article To realize real-time and accurate performance monitoring of large- and medium-sized seed metering devices, a performance monitoring system was designed for seed metering devices based on LED visible photoelectric sensing technology and a pulse width recognition algorithm. Through an analysis of the of sensing component pointing characteristics and seed motion characteristics, the layout of the sensing components and critical photoelectric sensing system components was optimized. Single-grain seed metering devices were employed as monitoring objects, and the pulse width thresholds for Ekangmian-10 cotton seeds and Zhengdan-958 corn seeds were determined through pulse width threshold calibration experiments employed at different seed metering plate rotational speeds. According to the seeding quantity monitoring experiments, when the seed metering plate rotational speed ranged from 28.31~35.71 rev/min, the accuracy reached 98.41% for Ekangmian-10 cotton seeds. When the seed metering plate rotational speed ranged from 13.78~19.39 rev/min, the seeding quantity monitoring accuracy reached 98.19% for Zhengdan-958 corn seeds. Performance monitoring experiments revealed that the qualified seeding quantity monitoring accuracy of cotton precision seed metering devices, missed seeding quantity monitoring accuracy, and reseeding quantity monitoring accuracy could reach 98.75%, 94.06%, and 91.30%, respectively, within a seeding speed range of 8~9 km/h. This system meets the requirements of real-time performance monitoring of large- and medium-sized precision seed metering devices, which helps to improve the operational performance of seeding machines. Public Library of Science 2021-12-22 /pmc/articles/PMC8694462/ /pubmed/34936685 http://dx.doi.org/10.1371/journal.pone.0261593 Text en © 2021 Liu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liu, Zhengyuan
Xia, Junfang
Hu, Mengjie
Du, Jun
Luo, Chengming
Zheng, Kan
Design and analysis of a performance monitoring system for a seed metering device based on pulse width recognition
title Design and analysis of a performance monitoring system for a seed metering device based on pulse width recognition
title_full Design and analysis of a performance monitoring system for a seed metering device based on pulse width recognition
title_fullStr Design and analysis of a performance monitoring system for a seed metering device based on pulse width recognition
title_full_unstemmed Design and analysis of a performance monitoring system for a seed metering device based on pulse width recognition
title_short Design and analysis of a performance monitoring system for a seed metering device based on pulse width recognition
title_sort design and analysis of a performance monitoring system for a seed metering device based on pulse width recognition
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694462/
https://www.ncbi.nlm.nih.gov/pubmed/34936685
http://dx.doi.org/10.1371/journal.pone.0261593
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