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

Liu, Zhengyuan and Xia, Junfang and Hu, Mengjie and Du, Jun and Luo, Chengming and Zheng, Kan and Al-Ameri, Talib (2021) Design and analysis of a performance monitoring system for a seed metering device based on pulse width recognition. PLOS ONE, 16 (12). e0261593. ISSN 1932-6203

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Abstract

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.

Item Type: Article
Subjects: Institute Archives > Biological Science
Depositing User: Managing Editor
Date Deposited: 28 Nov 2022 06:24
Last Modified: 11 Jun 2024 05:40
URI: http://eprint.subtopublish.com/id/eprint/535

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