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相关概念视频

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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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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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...
293
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

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The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
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Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

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An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
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相关实验视频

Updated: Jun 3, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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节能无碰撞机/AGV调度使用车辆边缘智能

Zhengying Cai1, Jingshu Du1, Tianhao Huang1

  • 1Hubei Province Engineering Technology Research Center for Construction Quality Testing Equipments, College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
概括

本研究介绍了自动引导车辆 (AGV) 的边缘计算方法,以实现无碰撞,能源高效的调度. 这种新的方法平衡了生产效率,安全性和减少能源使用.

关键词:
人工植物社区算法算法自动引导车辆自动引导车辆没有碰撞的调度安排.能源效率高的能源效率高的能源效率车辆边缘情报车辆边缘情报

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科学领域:

  • 机器人和自动化机器人与自动化
  • 人工智能的人工智能
  • 运营研究 运营研究

背景情况:

  • 越来越多的自动驾驶汽车 (AGV) 的部署带来了重大避免碰撞的挑战.
  • 在AGV调度中,平衡生产效率,防碰撞和能源消耗是一个复杂的,多目标的问题.
  • 现有的方法往往难以同时优化这些相互冲突的因素.

研究的目的:

  • 提出一种新的边缘计算方法,利用车辆边缘智能进行节能,无碰撞的AGV调度.
  • 解决生产效率,避免碰撞和AGV运营中的能源消耗之间的内在冲突.
  • 开发一种可在嵌入式平台上部署的解决方案,用于实时决策.

主要方法:

  • 开发一个车辆边缘智能架构,使用状态过渡图进行无碰撞调度.
  • 将调度问题建模为一个包含电容限制的多目标函数.
  • 探索一种人工植物社区算法,利用AGV的启发式搜索和群群智能.

主要成果:

  • 拟议的边缘计算方法有效地整合了生产效率,碰撞预防和节能.
  • 通过AGV边缘智能应用的人工植物社区算法,证明了成功的节能,无碰撞的调度.
  • 基准实验验证了启发式方法能够安全有效地引导多个AGV的能力.

结论:

  • 基于车辆边缘智能的新型边缘计算方法为节能,无碰撞的AGV调度提供了有效的解决方案.
  • 该方法成功地优化了相互冲突的目标,为AGV部署提供了实际框架.
  • 开发的算法适用于嵌入式系统,可以实时避免碰撞和能源管理.