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相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

588
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...
588
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

334
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
334
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

82
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...
82
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

25
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
25
Machines: Problem Solving II01:30

Machines: Problem Solving II

263
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
263
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

265
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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相关实验视频

Updated: May 7, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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以数据为导向的自动化工作车间调度优化,考虑AGV避难障碍.

Qi Tang1, Huan Wang2

  • 1School of Management, Shenyang University of Technology, Shenyang, 110870, China.

Scientific reports
|January 2, 2025
PubMed
概括
此摘要是机器生成的。

这项研究通过整合生产和自动引导车辆 (AGV) 调度来优化自动化工作室. 一个新的双层模型提高了生产和运输系统的协作和效率.

关键词:
自动化工作车间数据驱动的数据驱动.避免障碍 避免障碍 避免障碍制作时间表制作时间表

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科学领域:

  • 运营研究 运营研究
  • 工业工程 工业工程 工业工程
  • 人工智能的人工智能

背景情况:

  • 自动化工作车间严重依赖自动引导车辆 (AGV) 提高生产效率.
  • 生产和AGV运营的综合规划对于整体优化至关重要.
  • 在AGV运输时间的不确定性对调度提出了挑战.

研究的目的:

  • 提出一个双层调度优化模型,用于分批,工作顺序和避免AGV障碍的同时决策.
  • 加强生产阶段和AGV操作系统之间的协作.
  • 为了解决AGV运输时间的不确定性和控制延迟风险.

主要方法:

  • 使用数据驱动的贝叶斯网络方法,基于历史数据来建模AGV运输时间.
  • 实施了一个时间窗口机制来管理AGV延迟风险.
  • 一个改进的粒子群优化算法,结合了遗传运算符,旨在解决两层模型.

主要成果:

  • 拟议的模型有效地改善了生产阶段和AGV操作系统之间的协作.
  • 该模型成功优化了自动化工作商店的现实世界规模案例.
  • 综合生产和运输系统的提高效率被证明.

结论:

  • 开发的双层调度优化模型为集成生产和AGV运营提供了有效的解决方案.
  • 使用贝叶斯网络和增强的优化算法的数据驱动方法提高了系统的可靠性和效率.
  • 这项研究为优化自动化工作室性能提供了实际框架.