棉花精密播种机铺膜质量监测系统的设计与试验

IF 0.6 Q4 AGRICULTURAL ENGINEERING INMATEH-Agricultural Engineering Pub Date : 2023-08-17 DOI:10.35633/inmateh-70-37
Shenghe BAI, Yanwei YUAN, Gaoyong XING, Liang WEI, Kang NIU, Liming ZHOU, Bo ZHAO, Liguo WEI, Lijing LIU
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引用次数: 0

摘要

为实现对棉花精密播种机铺膜过程的实时监控,提高棉花精密播种机的智能化水平,基于先进的形态滤波方法和Labview软件的图形化编程,设计了棉花精密播种机铺膜质量监控系统。使用视觉助手视觉助手,系统使用颜色提取功能将颜色转换为灰度图像。利用LOOKup Table函数和FFT滤波函数分别对其进行灰度变换、二值化和高级形态滤波。然后利用基本形态学方法获取塑料薄膜图像中的各种成分。实现了采光面宽度、机械破损部分边长或缝长、膜边覆土宽度等参数的监测。铺膜质量监测系统的性能试验结果表明,该系统工作稳定可靠,对光照面宽度和覆膜边缘覆盖土体宽度的平均监测精度达到95%以上,对机械损伤部位边长或接缝长度的平均监测精度达到88%以上。解决了塑料薄膜与背景干扰物(土壤等)相似度难以识别的问题,能够实时准确检测棉膜质量。有效提高了棉花精密播种机的运行质量和工作效率,满足了铺膜监测的实际要求。
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DESIGN AND EXPERIMENT OF FILM LAYING QUALITY MONITORING SYSTEM FOR COTTON PRECISION PLANTER
To realize real-time monitoring of film laying process of cotton precision planter and improve intelligent level of cotton precision planter, based on advanced morphological filtering method and graphical programming of Labview software, a film laying quality monitoring system of cotton precision planter is designed. Using the Vision Assistant visual assistant, the system uses a color extraction function to convert colors to grayscale images. It uses LOOKup Table function and FFT filter function to perform grayscale transformation, binarization and advanced morphological filtering on it respectively. It then uses basic morphology to acquire various components in the plastic film image. It realizes the monitoring of parameters such as the width of the daylighting surface, the side length or seam length of the mechanical damaged part, and the width of the film edge covering soil. The performance test results of the film laying quality monitoring system showed that the system worked stably and reliably, the average monitoring accuracy of the width of the lighting surface and the width of the film edge covering soil reached more than 95%, and the average monitoring accuracy of the side length or the length of the seam at the mechanical damage part reached more than 88%. It solved the problems of difficulty in recognizing the similarity between the plastic film and the background interferer (soil, etc.) and could accurately detect the quality of the cotton film in real time. It effectively improved the operation quality and working efficiency of the cotton precision planter and met the practical requirements of film laying monitoring.
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来源期刊
INMATEH-Agricultural Engineering
INMATEH-Agricultural Engineering AGRICULTURAL ENGINEERING-
CiteScore
1.30
自引率
57.10%
发文量
98
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