Design and Test of Real-Time Detection System for Cleaning Loss of Rapeseed Harvester

Aiming to address the problem of low recognition accuracy in the current cleaning loss detection system of rapeseed harvesters, a rapeseed cleaning loss detection system was developed using the energy distinction method based on the principle of impact piezoelectricity. A signal processing circuit,...

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Main Authors: Yao Yang, Min Zhang, Tao Jiang, Gang Wang, Lan Jiang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/2/792
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author Yao Yang
Min Zhang
Tao Jiang
Gang Wang
Lan Jiang
author_facet Yao Yang
Min Zhang
Tao Jiang
Gang Wang
Lan Jiang
author_sort Yao Yang
collection DOAJ
description Aiming to address the problem of low recognition accuracy in the current cleaning loss detection system of rapeseed harvesters, a rapeseed cleaning loss detection system was developed using the energy distinction method based on the principle of impact piezoelectricity. A signal processing circuit, centered around a hardware integral circuit and a triple voltage comparison circuit, was designed. The energy of the impact signals generated by rapeseed kernels and impurities was calculated through hardware integration. The distinction threshold for the energy of the impact signals generated by kernels and impurities under the operating wind speed of the cleaning system was found through experiments, and a fitting model relating the fan speed to the distinction threshold was constructed. A loss detection and counting system for rapeseed kernels was designed to realize the statistics and real-time display of rapeseed kernels regarding cleaning loss. Performance verification tests were conducted on mixtures of rapeseed kernels and impurities with different mixing ratios, and a field test was carried out on the platform of a 4LZY-5.0Z rapeseed combine harvester. The test results showed that the accuracy of the designed loss detection system for kernel identification was more than 91.6%. Under operating conditions of 700, 900 and 1200 r/min fan speeds in the combine harvester cleaning system, the relative errors of the loss detection system compared to manual detection were 5%, 4.7% and 3.8%, respectively. The developed loss detection system for rapeseed kernels has high detection accuracy and good overall performance, which means it can provide feedback information for the control of the harvester.
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institution Kabale University
issn 2076-3417
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publishDate 2025-01-01
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spelling doaj-art-51353993c68f4e2e8c9c2e7654e605922025-01-24T13:20:50ZengMDPI AGApplied Sciences2076-34172025-01-0115279210.3390/app15020792Design and Test of Real-Time Detection System for Cleaning Loss of Rapeseed HarvesterYao Yang0Min Zhang1Tao Jiang2Gang Wang3Lan Jiang4Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, ChinaNanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, ChinaNanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, ChinaNanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, ChinaNanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, ChinaAiming to address the problem of low recognition accuracy in the current cleaning loss detection system of rapeseed harvesters, a rapeseed cleaning loss detection system was developed using the energy distinction method based on the principle of impact piezoelectricity. A signal processing circuit, centered around a hardware integral circuit and a triple voltage comparison circuit, was designed. The energy of the impact signals generated by rapeseed kernels and impurities was calculated through hardware integration. The distinction threshold for the energy of the impact signals generated by kernels and impurities under the operating wind speed of the cleaning system was found through experiments, and a fitting model relating the fan speed to the distinction threshold was constructed. A loss detection and counting system for rapeseed kernels was designed to realize the statistics and real-time display of rapeseed kernels regarding cleaning loss. Performance verification tests were conducted on mixtures of rapeseed kernels and impurities with different mixing ratios, and a field test was carried out on the platform of a 4LZY-5.0Z rapeseed combine harvester. The test results showed that the accuracy of the designed loss detection system for kernel identification was more than 91.6%. Under operating conditions of 700, 900 and 1200 r/min fan speeds in the combine harvester cleaning system, the relative errors of the loss detection system compared to manual detection were 5%, 4.7% and 3.8%, respectively. The developed loss detection system for rapeseed kernels has high detection accuracy and good overall performance, which means it can provide feedback information for the control of the harvester.https://www.mdpi.com/2076-3417/15/2/792rapeseed harvestercleaning lossenergy distinction methodhardware integrationdetection
spellingShingle Yao Yang
Min Zhang
Tao Jiang
Gang Wang
Lan Jiang
Design and Test of Real-Time Detection System for Cleaning Loss of Rapeseed Harvester
Applied Sciences
rapeseed harvester
cleaning loss
energy distinction method
hardware integration
detection
title Design and Test of Real-Time Detection System for Cleaning Loss of Rapeseed Harvester
title_full Design and Test of Real-Time Detection System for Cleaning Loss of Rapeseed Harvester
title_fullStr Design and Test of Real-Time Detection System for Cleaning Loss of Rapeseed Harvester
title_full_unstemmed Design and Test of Real-Time Detection System for Cleaning Loss of Rapeseed Harvester
title_short Design and Test of Real-Time Detection System for Cleaning Loss of Rapeseed Harvester
title_sort design and test of real time detection system for cleaning loss of rapeseed harvester
topic rapeseed harvester
cleaning loss
energy distinction method
hardware integration
detection
url https://www.mdpi.com/2076-3417/15/2/792
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AT minzhang designandtestofrealtimedetectionsystemforcleaninglossofrapeseedharvester
AT taojiang designandtestofrealtimedetectionsystemforcleaninglossofrapeseedharvester
AT gangwang designandtestofrealtimedetectionsystemforcleaninglossofrapeseedharvester
AT lanjiang designandtestofrealtimedetectionsystemforcleaninglossofrapeseedharvester