基于多传感器信息融合的模拟电子玉米穗设计与实验

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Shulun Xing , Tao Cui , Dongxing Zhang , Li Yang , Xiantao He , Chuan Li , Jiaqi Dong , Yeyuan Jiang , Wei Wu , Chuankuo Zhang
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引用次数: 0

摘要

为探讨高水分玉米穗在脱粒过程中的破粒机理,设计了一种可脱粒的模拟电子玉米穗(SECE)。它嵌入了一个超宽带(UWB)模块、一个惯性测量单元(IMU)模块和一个柔性薄膜压力传感器。提出了UWB/IMU耦合定位算法、UWB测距离群值去除算法和冲击力检测算法来检测脱粒过程中see的运动学和动力学参数。为了验证SECE的工作性能,我们进行了动态冲击力检测、静力检测、空间定位、玉米脱粒等试验。动态冲击力检测试验结果表明,平均检测误差为0.91 N,最大误差为2.25 N,平均检测精度为98.15%。静力检测试验结果平均检测误差为2.47 N,最大平均检测误差为7.25 N,平均R2为0.9874。空间定位测试结果表明,UWB测距离群值去除算法可以有效降低非视距(NLOS)对SECE定位精度的影响,UWB- imu耦合定位算法可以进一步提高定位精度。unscented卡尔曼滤波(UKF)紧耦合算法的定位精度最高,扩展卡尔曼滤波(EKF)紧耦合算法次之,卡尔曼滤波(KF)松耦合算法次之。使用UKF算法,SECE的X、Y、Z轴位置的均方根误差(RMSE)都可以在0.12 m以内,误差小于0.15 m的概率超过85%。玉米脱粒试验结果表明,该系统能有效检测脱粒装置内部的运动轨迹、动态冲击力和静力。该研究为分析脱粒条件下玉米穗的运动学和动力学参数提供了一种新的技术手段,为研究籽粒破碎原理提供了一种新的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and experiment of a simulated electronic corn ear based on multi-sensor information fusion
To explore the mechanism of grain breakage during the threshing of high-moisture corn ears, this paper designed a simulated electronic corn ear (SECE), which could be threshed. It was embedded with a ultra-wideband (UWB) module, a inertial measurement unit (IMU) module, and a flexible film pressure sensor. The UWB/IMU coupled positioning algorithm, UWB ranging outlier removal algorithm and impact force detection algorithm were proposed to detect the kinematic and dynamic parameters of SECE during threshing. To verify the working performance of SECE, we conducted tests on dynamic impact force detection, static force detection, spatial positioning, and corn threshing. The dynamic impact force detection test results indicated an average detection error of 0.91 N, a maximum error of 2.25 N, and an average detection accuracy of 98.15 %. The static force detection test results showed an average detection error of 2.47 N, a maximum average detection error of 7.25 N, and an average R2 of 0.9874. The spatial positioning test results indicated that the UWB ranging outlier removal algorithm could effectively reduce the impact of non-line-of-sight (NLOS) on the positioning accuracy of SECE, and the UWB-IMU coupled positioning algorithm could further improve the positioning accuracy. The unscented kalman filter (UKF) tightly coupled algorithm had the highest positioning accuracy, followed by the extended kalman filter (EKF) tightly coupled algorithm, and the kalman filter (KF) loosely coupled algorithm. Using the UKF algorithm, the root mean square error (RMSE) of the X ,Y, and Z axes position of SECE could all be within 0.12 m, with a probability of exceeding 85 % for errors less than 0.15 m. The corn threshing test results showed that the SECE could effectively detect the motion trajectory, dynamic impact force and static force within the threshing device. This research provided a new technical means for analyzing the kinematic and dynamic parameters of corn ears under threshing conditions and offered a new method for studying the principles of grain breakage.
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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