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一台基于物联网技术和RGB颜色传感器的新型自动甘种子切割机

Liu Yang¹, Loai S Nasrat², Mohamed E Badawy³

¹School of Mechanical and Electrical Engineering, Shihezi University, Xinjiang, China.

|March 28, 2024

概括

一个新的自动化甘种子切割设备使用RGB颜色传感器以95-100%的精度识别和切割节点. 这项创新提高了埃及甘生产效率和质量.

科学领域:

农业工程农业工程
自动化和机器人技术
传感器技术传感器技术

背景情况:

甘在埃及是一个重要的经济作物,以前切割种植模式为主.
现有的甘种植方法面临着影响作物的质量和效率的挑战.
需要自动化解决方案来改善甘种子的切割和准备.

研究的目的:

开发和评估一个包含RGB色彩传感器的自动甘种子切割设备.
使用自动识别技术提高甘种植的切割质量和效率.
研究RGB色彩传感器在各种条件下识别手工彩色甘节点的性能.

主要方法:

开发了一台带有料,扫描,切割和控制系统的甘种子切割机.
实验室测试RGB颜色传感器以分析红色,绿色和蓝色通道的脉冲宽度 (PW).
用不同的彩色节点标记 (黑色,红色,蓝色),料速度,传感器高度和彩色线宽度进行实验.

主要成果:

自动化系统实现了甘节点识别率为95%至100%.
节点的平均扫描时间从1.0到1.75秒不等,每小时有高达1200种子的容量.
通过蓝色线,2.0厘米的传感器高度和7.5米/分钟的输送速度,可以实现最佳性能 (100%的准确性).

结论:

开发的支持物联网的甘种子切割机有效地识别和切割高精度和效率的节点.
使用RGB色彩传感器和物联网技术为图像处理提供了昂贵的工业摄像机的负担得起的替代方案.
这种自动化系统为甘种植提供了显著的改进,特别是在采伐前种植模式下.

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