Structure Optimization of a Grain Impact Piezoelectric Sensor and Its Application for Monitoring Separation Losses on Tangential-Axial Combine Harvesters

Grain separation losses is a key parameter to weigh the performance of combine harvesters, and also a dominant factor for automatically adjusting their major working parameters. The traditional separation losses monitoring method mainly rely on manual efforts, which require a high labor intensity. W...

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Main Authors: Zhenwei Liang, Yaoming Li, Zhan Zhao, Lizhang Xu
Format: Article
Language:English
Published: MDPI AG 2015-01-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/1/1496
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spelling doaj-d46a0c25f4d148279cfad33735acb26b2020-11-25T00:47:45ZengMDPI AGSensors1424-82202015-01-011511496151710.3390/s150101496s150101496Structure Optimization of a Grain Impact Piezoelectric Sensor and Its Application for Monitoring Separation Losses on Tangential-Axial Combine HarvestersZhenwei Liang0Yaoming Li1Zhan Zhao2Lizhang Xu3Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education & Jiangsu Province, Jiangsu University, Zhenjiang, Jiangsu 212013, ChinaKey Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education & Jiangsu Province, Jiangsu University, Zhenjiang, Jiangsu 212013, ChinaKey Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education & Jiangsu Province, Jiangsu University, Zhenjiang, Jiangsu 212013, ChinaKey Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education & Jiangsu Province, Jiangsu University, Zhenjiang, Jiangsu 212013, ChinaGrain separation losses is a key parameter to weigh the performance of combine harvesters, and also a dominant factor for automatically adjusting their major working parameters. The traditional separation losses monitoring method mainly rely on manual efforts, which require a high labor intensity. With recent advancements in sensor technology, electronics and computational processing power, this paper presents an indirect method for monitoring grain separation losses in tangential-axial combine harvesters in real-time. Firstly, we developed a mathematical monitoring model based on detailed comparative data analysis of different feeding quantities. Then, we developed a grain impact piezoelectric sensor utilizing a YT-5 piezoelectric ceramic as the sensing element, and a signal process circuit designed according to differences in voltage amplitude and rise time of collision signals. To improve the sensor performance, theoretical analysis was performed from a structural vibration point of view, and the optimal sensor structural has been selected. Grain collide experiments have shown that the sensor performance was greatly improved. Finally, we installed the sensor on a tangential-longitudinal axial combine harvester, and grain separation losses monitoring experiments were carried out in North China, which results have shown that the monitoring method was feasible, and the biggest measurement relative error was 4.63% when harvesting rice.http://www.mdpi.com/1424-8220/15/1/1496grain separation lossesmonitoring mathematicsstructure optimizationfield experiment
collection DOAJ
language English
format Article
sources DOAJ
author Zhenwei Liang
Yaoming Li
Zhan Zhao
Lizhang Xu
spellingShingle Zhenwei Liang
Yaoming Li
Zhan Zhao
Lizhang Xu
Structure Optimization of a Grain Impact Piezoelectric Sensor and Its Application for Monitoring Separation Losses on Tangential-Axial Combine Harvesters
Sensors
grain separation losses
monitoring mathematics
structure optimization
field experiment
author_facet Zhenwei Liang
Yaoming Li
Zhan Zhao
Lizhang Xu
author_sort Zhenwei Liang
title Structure Optimization of a Grain Impact Piezoelectric Sensor and Its Application for Monitoring Separation Losses on Tangential-Axial Combine Harvesters
title_short Structure Optimization of a Grain Impact Piezoelectric Sensor and Its Application for Monitoring Separation Losses on Tangential-Axial Combine Harvesters
title_full Structure Optimization of a Grain Impact Piezoelectric Sensor and Its Application for Monitoring Separation Losses on Tangential-Axial Combine Harvesters
title_fullStr Structure Optimization of a Grain Impact Piezoelectric Sensor and Its Application for Monitoring Separation Losses on Tangential-Axial Combine Harvesters
title_full_unstemmed Structure Optimization of a Grain Impact Piezoelectric Sensor and Its Application for Monitoring Separation Losses on Tangential-Axial Combine Harvesters
title_sort structure optimization of a grain impact piezoelectric sensor and its application for monitoring separation losses on tangential-axial combine harvesters
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-01-01
description Grain separation losses is a key parameter to weigh the performance of combine harvesters, and also a dominant factor for automatically adjusting their major working parameters. The traditional separation losses monitoring method mainly rely on manual efforts, which require a high labor intensity. With recent advancements in sensor technology, electronics and computational processing power, this paper presents an indirect method for monitoring grain separation losses in tangential-axial combine harvesters in real-time. Firstly, we developed a mathematical monitoring model based on detailed comparative data analysis of different feeding quantities. Then, we developed a grain impact piezoelectric sensor utilizing a YT-5 piezoelectric ceramic as the sensing element, and a signal process circuit designed according to differences in voltage amplitude and rise time of collision signals. To improve the sensor performance, theoretical analysis was performed from a structural vibration point of view, and the optimal sensor structural has been selected. Grain collide experiments have shown that the sensor performance was greatly improved. Finally, we installed the sensor on a tangential-longitudinal axial combine harvester, and grain separation losses monitoring experiments were carried out in North China, which results have shown that the monitoring method was feasible, and the biggest measurement relative error was 4.63% when harvesting rice.
topic grain separation losses
monitoring mathematics
structure optimization
field experiment
url http://www.mdpi.com/1424-8220/15/1/1496
work_keys_str_mv AT zhenweiliang structureoptimizationofagrainimpactpiezoelectricsensoranditsapplicationformonitoringseparationlossesontangentialaxialcombineharvesters
AT yaomingli structureoptimizationofagrainimpactpiezoelectricsensoranditsapplicationformonitoringseparationlossesontangentialaxialcombineharvesters
AT zhanzhao structureoptimizationofagrainimpactpiezoelectricsensoranditsapplicationformonitoringseparationlossesontangentialaxialcombineharvesters
AT lizhangxu structureoptimizationofagrainimpactpiezoelectricsensoranditsapplicationformonitoringseparationlossesontangentialaxialcombineharvesters
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