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相关概念视频

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.
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Introduction and Methods of Leveling01:26

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Leveling is a surveying procedure used to determine elevation differences between distant points. Elevation refers to the vertical distance above or below a reference datum, typically mean sea level (MSL). In the United States, elevations are often referenced to the mean sea level station at Father Point Rimouski along the St. Lawrence Seaway. To make the datum accessible, permanent markers are established throughout the region. These markers, called benchmarks, have known elevations. If the...
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During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance.
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相关实验视频

Updated: May 2, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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使用毫米波雷达和3D表面重建进行仓库材料水平监测的高精度方法.

Wenxin Zhang1, Yi Gu1

  • 1School of Automation, Beijing Information Science & Technology University, Beijing 100192, China.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了毫米波雷达和3D重建方法,用于准确监控仓库材料,克服了LiDAR.

关键词:
毫米波雷达是一种毫米波雷达.多功能的聚变聚变.处理点云的点云处理.表面的重建 表面的重建测量体积测量的体积测量

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Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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相关实验视频

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科学领域:

  • 工程 工程师 工程师 工程师
  • 地理空间科学 地理空间科学
  • 计算机科学 计算机科学

背景情况:

  • 传统的仓库监控方法,如激光雷达与尘埃和雾作斗争.
  • 准确的材料水平监测对于库存管理和运营效率至关重要.
  • 现有的技术在复杂的工业环境中缺乏稳定性.

研究的目的:

  • 为仓库开发一个高精度的物质水平监测系统.
  • 为了克服LiDAR在灰尘和雾的工业环境中的局限性.
  • 为实时材料体积估计提供强大而准确的解决方案.

主要方法:

  • 毫米波雷达与3D表面重建的整合.
  • 应用Chirp-Z转换 (CZT) 来提高光谱分辨率.
  • 使用角度范围特征融合进行异常信号校正.
  • 点云处理:无声化,移动最小正方形 (MLS) 平滑和双立方线间波.
  • 森表面重建用于3D模型生成.
  • 矢量三重乘积法用于体积计算.

主要成果:

  • 实现了不到3%的重建体积误差.
  • 在复杂的环境中表现出高精度,强度和适应性.
  • 生成精确的3D模型,表示谷物堆的几何形状.

结论:

  • 拟议的毫米波雷达和3D重建方法为LiDAR提供了可靠的替代方案.
  • 该系统非常适合实时仓库监控和智能存储管理.
  • 通过精确的体积估计,提供准确的物质平衡支持.