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相关概念视频

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
394
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

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Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Three-Dimensional Force System:Problem Solving01:30

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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
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When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
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相关实验视频

Updated: Jun 17, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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基于多目标混合算法构成的关节方向拖拉机的全球路径规划.

Ning Xu1,2,3, Zhihe Li1, Na Guo1,2

  • 1College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255000, China.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
概括

这项研究介绍了用于智能农业的混合算法 (AGADE),改进了果园中的自主拖拉机导航. AGADE算法提高了路径规划的效率,并确保了关节式转向拖拉机的运行可行性.

关键词:
关节式方向拖拉机的方向拖拉机不同进化 遗传算法 基因算法混合路径规划算法混合路径规划算法

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科学领域:

  • 农业工程 农业工程
  • 机器人技术 机器人技术 机器人技术
  • 计算机科学 计算机科学

背景情况:

  • 智能农业越来越多地利用自动驾驶技术提高效率.
  • 现有的路径规划算法通常优先考虑最短的路径,忽视诸如果园等复杂环境中的操作约束.
  • 关节式转向拖拉机需要专门的路径规划,以有效地导航狭窄的果园行.

研究的目的:

  • 开发和评估一种新的混合算法 (AGADE),用于优化在果园环境中的自动拖拉机路径规划.
  • 解决传统最短路径算法的局限性,以满足关方向拖拉机的特定操作需求.
  • 提高自主农业机械的融合速度和路径质量.

主要方法:

  • 开发了一种改进的双向搜索A*算法,并加权优先级函数.
  • 一个基因算法被增强了路径树行中位偏移因子,平滑因子和安全系数.
  • 为了在遗传算法中进行交叉突变,纳入了差异进化策略.
  • 立方B-spline曲线被用于用动力学约束来平滑路径.

主要成果:

  • AGADE混合算法在不同复杂度的地图中显著提高了合速度 (92.8%,64.5%,50.0%,71.2%的改进).
  • 虽然与GA算法相比,路径长度略有增加,但AGADE算法生成了以树行为中心的路径.
  • 优化的路径具有较少的转,与果园中形方向拖拉机的操作要求保持一致.

结论:

  • 拟议的AGADE混合算法有效地优化了自动拖拉机在果园环境中的路径规划.
  • 该算法成功地将最短路径规划与运营约束相结合,提高了导航效率和安全性.
  • 在精密农业中,AGADE为关节式转向拖拉机的自主操作提供了可行的解决方案.