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玉米联合收获机清选损失监测装置设计与试验
Alternative TitleImprovement and Experiment of Cleaning Loss Rate Monitoring Device for Corn Combine Harvester
王卓1; 车东1,2; 白晓平1; 胡河春1
Department数字工厂研究室
Source Publication农业机械学报
ISSN1000-1298
2018
Volume49Issue:12Pages:100-108
Indexed ByEI ; CSCD
EI Accession number20190706495338
CSCD IDCSCD:6394917
Contribution Rank1
Funding Organization国家重点研发计划项目(2016YFD0700105-03)
Keyword玉米联合收获机 清选损失 监测装置 支持向量机 压电薄膜
Abstract

针对玉米籽粒收获时,损失率检测不准的问题,以压电薄膜作为敏感材料,设计了一种由冲击传感器、信号处理电路和安装装置等组成的玉米收获机籽粒清选损失监测装置,并采用支持向量机多分类算法提取玉米籽粒冲击信号,实现了玉米籽粒损失的实时监测。首先,在不同冲击角度和高度的实验条件下,对不同大小的玉米籽粒和杂余进行冲击信号的采集实验,提取冲击信号的主要特征。采用支持向量机多分类算法对模型进行训练,并在监测装置上实现实时分类。使用不同品种和含水率玉米对分类模型进行验证。然后,在不同风机转速和清选筛开度的条件下,得到测试时间内传感器检测的籽粒个数与总损失量之间的关系,并根据谷物流量值,计算得到实时的清选损失率。最后,将该监测装置安装在4YL-8型玉米联合收获机上,并进行田间试验。结果表明,该监测装置与人工检测相比,平均相对误差为12.98%,可以为收获机的控制提供反馈信息。

Other Abstract

In this paper, piezoelectric films are used as sensor sensitive materials. A grain cleaning loss rate monitoring device suitable for corn harvesting is designed. The impact sensor, signal processing circuit and mounting device are designed, and the corresponding processing algorithm is used to collect the impact signal. Firstly, under different experimental conditions of impact angle and height, the impact signal acquisition experiments of different sizes of corn kernels and impurities were carried out. The main characteristics of impact signal are also extracted. Secondly, the support vector machine is used for multi-classification. The model is trained by the support vector machine multi-classification algorithm and real-time classification is implemented on the monitoring device. And the classification model was validated using different corn varieties and moisture content. Then, under the conditions of different fan speed and cleaning screen opening degree, the relationship between the number of grains detected by the sensor and the total loss during the test time is obtained. And the real-time cleaning loss rate is calculated according to the grain flow value. Finally, the monitoring device was mounted on a 4YL-8 combine harvester and field trials were conducted. The results show that the average relative error of the monitoring device compared with manual detection is 12.98%, which can provide feedback for the control of the harvester.

Language中文
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/23408
Collection数字工厂研究室
Corresponding Author王卓
Affiliation1.中国科学院沈阳自动化研究所
2.东北大学信息科学与工程学院
Recommended Citation
GB/T 7714
王卓,车东,白晓平,等. 玉米联合收获机清选损失监测装置设计与试验[J]. 农业机械学报,2018,49(12):100-108.
APA 王卓,车东,白晓平,&胡河春.(2018).玉米联合收获机清选损失监测装置设计与试验.农业机械学报,49(12),100-108.
MLA 王卓,et al."玉米联合收获机清选损失监测装置设计与试验".农业机械学报 49.12(2018):100-108.
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