基于OpenCV-Python的土壤颗粒动态休止角试验

doi:10.13733/j.jcam.issn.2095-5553.2023.05.029

摘要/Abstract

摘要： 为准确快速获取新疆棉田机收膜杂中土壤颗粒的动态休止角，结合基于OpenCV-Python的计算机图像处理技术，搭建土壤动态休止角测量装置。为保证动态休止角测量的准确性，利用三维块匹配滤波算法对采集图像进行降噪处理，图像降噪前后的峰值信噪比为36.48 dB，结构相似指数为0.88；采用Canny算法提取土壤边界并通过改进的最小二乘法求解土壤边界拟合方程，获取土壤颗粒的动态休止角。依据该方法测定不同转速下土壤颗粒的动态休止角，分析转速对动态休止角的影响规律，分别构建线性拟合模型和多项式拟合模型。通过方差分析可知，多项式拟合模型拟合度较高，该模型R2为95.72%，均方差为0.061。在此基础上优化求解，得到土壤动态休止角最优测量转速为7 r/min。本研究采用的土壤动态休止角测量装置精度和准确性较高，其结果可为土壤流动特性的研究及土壤筛分、输送等机具的开发设计提供参考。

关键词: 土壤颗粒, 动态休止角, 图像处理技术, 最小二乘法, OpenCV-Python

Abstract: This study aims to accurately and quickly obtain the dynamic angle of repose of the soil particles in residual film mixture in Xinjiang cotton fields by combing computer image processing technology based on OpenCV-Python and building a measuring device. To ensure the measurement accuracy of the dynamic angle of repose of soil particles, a threedimensional block matching filtering algorithm was used to denoise the image. The peak signaltonoise ratio of the denoised image is 36.48 dB, and the structural similarity index of the denoised image is 0.88. The Canny algorithm was used to extract the soil boundary, and the soil boundary fitting equation was solved by an improved least square method to obtain the dynamic angle of repose of the soil particles. This method was used to measure the dynamic angle of repose of the soil particles under different rotating speeds, and the influence law of different rotating speeds on the dynamic repose angle was analyzed. Linear and polynomial fitting model were constructed, and the polynomial fit model showed a better fit according to analysis of variance. The correlation coefficient R2 of the model was 95.72%, and the mean square deviation was 0.061. The optimal rotational speed of the dynamic angle of repose of soil particles was determined to be 7 r/min. The precision and accuracy of the dynamic angle of repose of soil particles obtained in this study were high, providing a reference for the study of soil flow characteristics and the development and design of soil screening and conveying machines.

Key words: soil particles, dynamic angle of repose, image processing technology, least squares, OpenCV-Python

中图分类号:

S126

周鹏飞, 蒙贺伟, , , 梁荣庆, 张炳成, 坎杂, , . 基于OpenCV-Python的土壤颗粒动态休止角试验[J]. 中国农机化学报, 2023, 44(5): 214-222.

Zhou Pengfei, Meng Hewei, , , Liang Rongqing, Zhang Bingcheng, Kan Za, , . Experiment on the dynamic angle of repose of soil particles based on OpenCV-Python[J]. Journal of Chinese Agricultural Mechanization, 2023, 44(5): 214-222.

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