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Gravimetry: Overview01:05

Gravimetry: Overview

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Gravimetric analysis is a quantitative method where the analyte is isolated and weighed directly or after conversion into a substance of known composition. Gravimetric analysis can be classified as precipitation, electrogravimetry, volatilization, and particulate gravimetry, based on the method used to isolate the analyte.
In precipitation gravimetry, the analyte is converted into a precipitate and weighed. For example, the silver content in a sample can be estimated by precipitating and...
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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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基于LiDAR的批量谷物装载状态识别方法的研究.

Jiazun Hu1, Xin Wen1, Yunbo Liu1

  • 1School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
概括

这项研究引入了一种使用光检测和测距 (LiDAR) 的新方法,以准确确定散装谷物装载状态. 该系统通过使用深度学习分析点云数据来提高运输效率和安全性.

科学领域:

  • 农业工程 农业工程
  • 机器人和自动化 机器人和自动化
  • 计算机视觉 计算机视觉

背景情况:

  • 散装谷物运输对全球贸易至关重要.
  • 手动评估谷物负载是低效和不安全的.
  • 优化货物空间和防止泄漏是关键的挑战.

研究的目的:

  • 开发一个自动化系统来识别散装谷物装载状态.
  • 提高谷物运输过程的效率和安全性.
  • 为了利用光检测和测距 (LiDAR) 技术进行货物监控.

主要方法:

  • 利用LiDAR捕获谷物装载车辆的点云数据.
  • 开发了一个深度学习网络,用于目标识别和组件细分.
  • 从点云数据中提取了车辆的位置和粒状.

主要成果:

  • 在点云分类中获得了97.9%的整体准确率和98.1%的平均准确率.
  • 在汽车组件细分中获得了99.1%的整体准确率和96.6%的欧盟平均交叉点.
  • 在提取车辆位置和颗粒形状方面表现出可靠的性能.

结论:

关键词:
3D点云是一个3D点云.李达尔 (LiDAR) 是一种激光雷达.散装粮食装载 散装粮食装载点云分类点云的分类点云细分 分点云细分

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  • 拟议的基于LiDAR的方法有效地识别了散装谷物装载状态.
  • 这种技术比传统的手工方法有了显著的改进.
  • 该系统显示了提高散装货物物流的安全性和效率的潜力.