棉纺织技术2025，Vol.53Issue(10)：39-46,8.DOI:10.26967/j.issn1000-7415.202504011
棉纤维长度和强力快速检测装置研究
Research on cotton fiber length and strength rapid detection device
摘要
Abstract
In order to detect the length and strength of cotton fibers quickly,accurately and at low cost in the process of machined-picked cotton procurement,a device for rapid detection of cotton fiber length and strength was designed.The test samples were prepared by the double-ended random whisker photoelectric method(double whisker method),the length of cotton fibers was detected by CCD image acquisition and processing analysis.The tension sensor was used to collect the fracture tensile force of cotton fibers to detect the strength of cotton fibers.At the same time,in order to improve the detection accuracy,the detection parameters of cotton fibers were calibrated by Bayesian optimization and Gaussian modeling.The test showed that percentage difference between the predicted value of cotton fiber length detection and the average value of the hand pulling method was-0.34%～0.38%.The percentage difference between the predicted value of cotton fiber quality and the actual weighing mass of cotton fiber was-1.04%～1.24%,and the prediction data was close to the real detection value.The percentage difference between the test results of the fracture ratio strength and Pressley fiber strength tester was-3.86%～4.93%,and the error was within the acceptable range.It is considered that the design device is supplemented by Gaussian modeling and Bayesian optimization,and the average time for detecting cotton fiber length and strength indexes is lower,which has greater improvement in the measurement speed than the roller method,less human interference factors,and lower price than the existing integrated measurement device.关键词
机采棉/双须法/CCD图像采集/拉力传感器/高斯建模/贝叶斯优化/检测速度Key words
machine-picked cotton/double whisker method/CCD image acquisition/tension sensor/Gaussian modeling/Bayesian optimization/detection speed分类
轻工纺织引用本文复制引用
蔡龙,张立杰,熊宗慧,袁盖,邓绍辉..棉纤维长度和强力快速检测装置研究[J].棉纺织技术,2025,53(10):39-46,8.基金项目
新疆维吾尔自治区科技重大项目(2022A01008-1) （2022A01008-1）
